Mask_RCNN.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "68b957cb",
   "metadata": {},
   "outputs": [],
   "source": [
    "import detectron2\n",
    "from detectron2.utils.logger import setup_logger\n",
    "setup_logger()\n",
    "\n",
    "# import some common libraries\n",
    "import numpy as np\n",
    "import os, json, cv2, random,pickle\n",
    "\n",
    "# import some common detectron2 utilities\n",
    "from detectron2 import model_zoo\n",
    "from detectron2.engine import DefaultPredictor\n",
    "from detectron2.config import get_cfg\n",
    "from detectron2.utils.visualizer import Visualizer\n",
    "from detectron2.data import MetadataCatalog, DatasetCatalog\n",
    "from detectron2.data.datasets import register_coco_instances\n",
    "from detectron2.engine import DefaultTrainer\n",
    "from detectron2.data import datasets\n",
    "from detectron2 import model_zoo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "6d987cdf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.10.0\n"
     ]
    }
   ],
   "source": [
    "import torch \n",
    "print(torch.__version__)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "6611c91f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "torch.cuda.is_available()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "d4bb365d",
   "metadata": {},
   "outputs": [],
   "source": [
    "def cv2_imshow(im):\n",
    "    im = cv2.cvtColor(im, cv2.COLOR_BGR2RGB)\n",
    "    plt.figure(), plt.imshow(im), plt.axis('off');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a71bd44a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import torchvision.transforms as transforms\n",
    "from matplotlib.pyplot import imshow\n",
    "from PIL import Image\n",
    "import IPython\n",
    "def cv2_imshow(img):\n",
    "    img = img[:,:,[2,1,0]]\n",
    "    img = Image.fromarray(img)\n",
    "    plt.figure(figsize=(20, 20))\n",
    "    plt.imshow(img)\n",
    "    plt.axis('off')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ff842eb7",
   "metadata": {},
   "outputs": [],
   "source": [
    "train_dataset_name = 'signs'\n",
    "train_image_path = \"/Users/Rekha/Documents/road_signs/images/train\"\n",
    "train_json_annot_path = \"/Users/Rekha/Documents/road_signs/labels/train/coco.json\"\n",
    "f = open(train_json_annot_path, 'r')\n",
    "train_annotations = json.load(f)\n",
    "f.close()\n",
    "num_classes = len(train_annotations['categories'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "bfd7c659",
   "metadata": {},
   "outputs": [],
   "source": [
    "test_dataset_name = 'signs_test'\n",
    "test_image_path = '/Users/Rekha/Documents/road_signs/images/valid'\n",
    "test_json_annot_path = \"/Users/Rekha/Documents/road_signs/labels/valid/coco.json\"\n",
    "f = open(train_json_annot_path, 'r')\n",
    "train_annotations = json.load(f)\n",
    "f.close()\n",
    "num_classes = len(train_annotations['categories'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "d929db8e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[32m[12/15 09:21:24 d2.data.datasets.coco]: \u001b[0mLoaded 1484 images in COCO format from /Users/Rekha/Documents/road_signs/labels/train/coco.json\n"
     ]
    }
   ],
   "source": [
    "cfg_save_path =  '/Users/Rekha/Documents/road_signs/detectron2/IS_cfg.pickle'\n",
    "training_dict = datasets.load_coco_json(train_json_annot_path, train_image_path,\n",
    "                dataset_name=train_dataset_name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "0f351ada",
   "metadata": {},
   "outputs": [],
   "source": [
    "from detectron2.data.datasets import register_coco_instances\n",
    "register_coco_instances(train_dataset_name, {}, train_json_annot_path, train_image_path)\n",
    "register_coco_instances(test_dataset_name, {}, test_json_annot_path, test_image_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "429c57fe",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[32m[12/15 09:21:34 d2.data.datasets.coco]: \u001b[0mLoaded 1484 images in COCO format from /Users/Rekha/Documents/road_signs/labels/train/coco.json\n"
     ]
    }
   ],
   "source": [
    "signs_metadata = MetadataCatalog.get(\"signs\")\n",
    "dataset_dicts = DatasetCatalog.get(\"signs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "1c0862be",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'detectron2.data.catalog.Metadata'>\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "namespace(name='signs',\n",
       "          thing_classes=['red_square',\n",
       "                         'blue_square',\n",
       "                         'white_square',\n",
       "                         'right_of_way',\n",
       "                         'direction',\n",
       "                         'blue_circle',\n",
       "                         'yellow_black_marker',\n",
       "                         'yield',\n",
       "                         'zone_start',\n",
       "                         'red_circle',\n",
       "                         'red_blue_circle',\n",
       "                         'yield_bakside',\n",
       "                         'blue_white_square',\n",
       "                         'zone_end',\n",
       "                         'red_triangle'],\n",
       "          thing_dataset_id_to_contiguous_id={1: 0,\n",
       "                                             2: 1,\n",
       "                                             3: 2,\n",
       "                                             4: 3,\n",
       "                                             5: 4,\n",
       "                                             6: 5,\n",
       "                                             7: 6,\n",
       "                                             8: 7,\n",
       "                                             9: 8,\n",
       "                                             10: 9,\n",
       "                                             11: 10,\n",
       "                                             12: 11,\n",
       "                                             13: 12,\n",
       "                                             14: 13,\n",
       "                                             15: 14},\n",
       "          json_file='/Users/Rekha/Documents/road_signs/labels/train/coco.json',\n",
       "          image_root='/Users/Rekha/Documents/road_signs/images/train',\n",
       "          evaluator_type='coco')"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(type(signs_metadata))\n",
    "MetadataCatalog.get(\"signs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "811c48ae",
   "metadata": {},
   "outputs": [],
   "source": [
    "#import random\n",
    "\n",
    "#for d in random.sample(dataset_dicts,10):\n",
    "    #img = cv2.imread(d[\"file_name\"])\n",
    "    #visualizer = Visualizer(img[:, :, ::-1], metadata=signs_metadata, scale=0.5)\n",
    "    #vis = visualizer.draw_dataset_dict(d)\n",
    "    #cv2_imshow(vis.get_image()[:, :, ::-1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "b3fc402b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[32m[12/15 09:23:38 d2.engine.defaults]: \u001b[0mModel:\n",
      "GeneralizedRCNN(\n",
      "  (backbone): FPN(\n",
      "    (fpn_lateral2): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1))\n",
      "    (fpn_output2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
      "    (fpn_lateral3): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1))\n",
      "    (fpn_output3): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
      "    (fpn_lateral4): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1))\n",
      "    (fpn_output4): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
      "    (fpn_lateral5): Conv2d(2048, 256, kernel_size=(1, 1), stride=(1, 1))\n",
      "    (fpn_output5): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
      "    (top_block): LastLevelMaxPool()\n",
      "    (bottom_up): ResNet(\n",
      "      (stem): BasicStem(\n",
      "        (conv1): Conv2d(\n",
      "          3, 64, kernel_size=(7, 7), stride=(2, 2), padding=(3, 3), bias=False\n",
      "          (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05)\n",
      "        )\n",
      "      )\n",
      "      (res2): Sequential(\n",
      "        (0): BottleneckBlock(\n",
      "          (shortcut): Conv2d(\n",
      "            64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n",
      "          )\n",
      "          (conv1): Conv2d(\n",
      "            64, 64, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05)\n",
      "          )\n",
      "          (conv2): Conv2d(\n",
      "            64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05)\n",
      "          )\n",
      "          (conv3): Conv2d(\n",
      "            64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n",
      "          )\n",
      "        )\n",
      "        (1): BottleneckBlock(\n",
      "          (conv1): Conv2d(\n",
      "            256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05)\n",
      "          )\n",
      "          (conv2): Conv2d(\n",
      "            64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05)\n",
      "          )\n",
      "          (conv3): Conv2d(\n",
      "            64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n",
      "          )\n",
      "        )\n",
      "        (2): BottleneckBlock(\n",
      "          (conv1): Conv2d(\n",
      "            256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05)\n",
      "          )\n",
      "          (conv2): Conv2d(\n",
      "            64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05)\n",
      "          )\n",
      "          (conv3): Conv2d(\n",
      "            64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n",
      "          )\n",
      "        )\n",
      "      )\n",
      "      (res3): Sequential(\n",
      "        (0): BottleneckBlock(\n",
      "          (shortcut): Conv2d(\n",
      "            256, 512, kernel_size=(1, 1), stride=(2, 2), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=512, eps=1e-05)\n",
      "          )\n",
      "          (conv1): Conv2d(\n",
      "            256, 128, kernel_size=(1, 1), stride=(2, 2), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=128, eps=1e-05)\n",
      "          )\n",
      "          (conv2): Conv2d(\n",
      "            128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=128, eps=1e-05)\n",
      "          )\n",
      "          (conv3): Conv2d(\n",
      "            128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=512, eps=1e-05)\n",
      "          )\n",
      "        )\n",
      "        (1): BottleneckBlock(\n",
      "          (conv1): Conv2d(\n",
      "            512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=128, eps=1e-05)\n",
      "          )\n",
      "          (conv2): Conv2d(\n",
      "            128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=128, eps=1e-05)\n",
      "          )\n",
      "          (conv3): Conv2d(\n",
      "            128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=512, eps=1e-05)\n",
      "          )\n",
      "        )\n",
      "        (2): BottleneckBlock(\n",
      "          (conv1): Conv2d(\n",
      "            512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=128, eps=1e-05)\n",
      "          )\n",
      "          (conv2): Conv2d(\n",
      "            128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=128, eps=1e-05)\n",
      "          )\n",
      "          (conv3): Conv2d(\n",
      "            128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=512, eps=1e-05)\n",
      "          )\n",
      "        )\n",
      "        (3): BottleneckBlock(\n",
      "          (conv1): Conv2d(\n",
      "            512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=128, eps=1e-05)\n",
      "          )\n",
      "          (conv2): Conv2d(\n",
      "            128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=128, eps=1e-05)\n",
      "          )\n",
      "          (conv3): Conv2d(\n",
      "            128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=512, eps=1e-05)\n",
      "          )\n",
      "        )\n",
      "      )\n",
      "      (res4): Sequential(\n",
      "        (0): BottleneckBlock(\n",
      "          (shortcut): Conv2d(\n",
      "            512, 1024, kernel_size=(1, 1), stride=(2, 2), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=1024, eps=1e-05)\n",
      "          )\n",
      "          (conv1): Conv2d(\n",
      "            512, 256, kernel_size=(1, 1), stride=(2, 2), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n",
      "          )\n",
      "          (conv2): Conv2d(\n",
      "            256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n",
      "          )\n",
      "          (conv3): Conv2d(\n",
      "            256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=1024, eps=1e-05)\n",
      "          )\n",
      "        )\n",
      "        (1): BottleneckBlock(\n",
      "          (conv1): Conv2d(\n",
      "            1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n",
      "          )\n",
      "          (conv2): Conv2d(\n",
      "            256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n",
      "          )\n",
      "          (conv3): Conv2d(\n",
      "            256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=1024, eps=1e-05)\n",
      "          )\n",
      "        )\n",
      "        (2): BottleneckBlock(\n",
      "          (conv1): Conv2d(\n",
      "            1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n",
      "          )\n",
      "          (conv2): Conv2d(\n",
      "            256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n",
      "          )\n",
      "          (conv3): Conv2d(\n",
      "            256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=1024, eps=1e-05)\n",
      "          )\n",
      "        )\n",
      "        (3): BottleneckBlock(\n",
      "          (conv1): Conv2d(\n",
      "            1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n",
      "          )\n",
      "          (conv2): Conv2d(\n",
      "            256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n",
      "          )\n",
      "          (conv3): Conv2d(\n",
      "            256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=1024, eps=1e-05)\n",
      "          )\n",
      "        )\n",
      "        (4): BottleneckBlock(\n",
      "          (conv1): Conv2d(\n",
      "            1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n",
      "          )\n",
      "          (conv2): Conv2d(\n",
      "            256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n",
      "          )\n",
      "          (conv3): Conv2d(\n",
      "            256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=1024, eps=1e-05)\n",
      "          )\n",
      "        )\n",
      "        (5): BottleneckBlock(\n",
      "          (conv1): Conv2d(\n",
      "            1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n",
      "          )\n",
      "          (conv2): Conv2d(\n",
      "            256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n",
      "          )\n",
      "          (conv3): Conv2d(\n",
      "            256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=1024, eps=1e-05)\n",
      "          )\n",
      "        )\n",
      "      )\n",
      "      (res5): Sequential(\n",
      "        (0): BottleneckBlock(\n",
      "          (shortcut): Conv2d(\n",
      "            1024, 2048, kernel_size=(1, 1), stride=(2, 2), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=2048, eps=1e-05)\n",
      "          )\n",
      "          (conv1): Conv2d(\n",
      "            1024, 512, kernel_size=(1, 1), stride=(2, 2), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=512, eps=1e-05)\n",
      "          )\n",
      "          (conv2): Conv2d(\n",
      "            512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=512, eps=1e-05)\n",
      "          )\n",
      "          (conv3): Conv2d(\n",
      "            512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=2048, eps=1e-05)\n",
      "          )\n",
      "        )\n",
      "        (1): BottleneckBlock(\n",
      "          (conv1): Conv2d(\n",
      "            2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=512, eps=1e-05)\n",
      "          )\n",
      "          (conv2): Conv2d(\n",
      "            512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=512, eps=1e-05)\n",
      "          )\n",
      "          (conv3): Conv2d(\n",
      "            512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=2048, eps=1e-05)\n",
      "          )\n",
      "        )\n",
      "        (2): BottleneckBlock(\n",
      "          (conv1): Conv2d(\n",
      "            2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=512, eps=1e-05)\n",
      "          )\n",
      "          (conv2): Conv2d(\n",
      "            512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=512, eps=1e-05)\n",
      "          )\n",
      "          (conv3): Conv2d(\n",
      "            512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
      "            (norm): FrozenBatchNorm2d(num_features=2048, eps=1e-05)\n",
      "          )\n",
      "        )\n",
      "      )\n",
      "    )\n",
      "  )\n",
      "  (proposal_generator): RPN(\n",
      "    (rpn_head): StandardRPNHead(\n",
      "      (conv): Conv2d(\n",
      "        256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)\n",
      "        (activation): ReLU()\n",
      "      )\n",
      "      (objectness_logits): Conv2d(256, 3, kernel_size=(1, 1), stride=(1, 1))\n",
      "      (anchor_deltas): Conv2d(256, 12, kernel_size=(1, 1), stride=(1, 1))\n",
      "    )\n",
      "    (anchor_generator): DefaultAnchorGenerator(\n",
      "      (cell_anchors): BufferList()\n",
      "    )\n",
      "  )\n",
      "  (roi_heads): StandardROIHeads(\n",
      "    (box_pooler): ROIPooler(\n",
      "      (level_poolers): ModuleList(\n",
      "        (0): ROIAlign(output_size=(7, 7), spatial_scale=0.25, sampling_ratio=0, aligned=True)\n",
      "        (1): ROIAlign(output_size=(7, 7), spatial_scale=0.125, sampling_ratio=0, aligned=True)\n",
      "        (2): ROIAlign(output_size=(7, 7), spatial_scale=0.0625, sampling_ratio=0, aligned=True)\n",
      "        (3): ROIAlign(output_size=(7, 7), spatial_scale=0.03125, sampling_ratio=0, aligned=True)\n",
      "      )\n",
      "    )\n",
      "    (box_head): FastRCNNConvFCHead(\n",
      "      (flatten): Flatten(start_dim=1, end_dim=-1)\n",
      "      (fc1): Linear(in_features=12544, out_features=1024, bias=True)\n",
      "      (fc_relu1): ReLU()\n",
      "      (fc2): Linear(in_features=1024, out_features=1024, bias=True)\n",
      "      (fc_relu2): ReLU()\n",
      "    )\n",
      "    (box_predictor): FastRCNNOutputLayers(\n",
      "      (cls_score): Linear(in_features=1024, out_features=16, bias=True)\n",
      "      (bbox_pred): Linear(in_features=1024, out_features=60, bias=True)\n",
      "    )\n",
      "    (mask_pooler): ROIPooler(\n",
      "      (level_poolers): ModuleList(\n",
      "        (0): ROIAlign(output_size=(14, 14), spatial_scale=0.25, sampling_ratio=0, aligned=True)\n",
      "        (1): ROIAlign(output_size=(14, 14), spatial_scale=0.125, sampling_ratio=0, aligned=True)\n",
      "        (2): ROIAlign(output_size=(14, 14), spatial_scale=0.0625, sampling_ratio=0, aligned=True)\n",
      "        (3): ROIAlign(output_size=(14, 14), spatial_scale=0.03125, sampling_ratio=0, aligned=True)\n",
      "      )\n",
      "    )\n",
      "    (mask_head): MaskRCNNConvUpsampleHead(\n",
      "      (mask_fcn1): Conv2d(\n",
      "        256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)\n",
      "        (activation): ReLU()\n",
      "      )\n",
      "      (mask_fcn2): Conv2d(\n",
      "        256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)\n",
      "        (activation): ReLU()\n",
      "      )\n",
      "      (mask_fcn3): Conv2d(\n",
      "        256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)\n",
      "        (activation): ReLU()\n",
      "      )\n",
      "      (mask_fcn4): Conv2d(\n",
      "        256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)\n",
      "        (activation): ReLU()\n",
      "      )\n",
      "      (deconv): ConvTranspose2d(256, 256, kernel_size=(2, 2), stride=(2, 2))\n",
      "      (deconv_relu): ReLU()\n",
      "      (predictor): Conv2d(256, 15, kernel_size=(1, 1), stride=(1, 1))\n",
      "    )\n",
      "  )\n",
      ")\n",
      "\u001b[32m[12/15 09:23:38 d2.data.datasets.coco]: \u001b[0mLoaded 1484 images in COCO format from /Users/Rekha/Documents/road_signs/labels/train/coco.json\n",
      "\u001b[32m[12/15 09:23:38 d2.data.build]: \u001b[0mRemoved 930 images with no usable annotations. 554 images left.\n",
      "\u001b[32m[12/15 09:23:38 d2.data.build]: \u001b[0mDistribution of instances among all 15 categories:\n",
      "\u001b[36m|   category    | #instances   |   category    | #instances   |   category    | #instances   |\n",
      "|:-------------:|:-------------|:-------------:|:-------------|:-------------:|:-------------|\n",
      "|  red_square   | 29           |  blue_square  | 71           | white_square  | 66           |\n",
      "| right_of_way  | 49           |   direction   | 221          |  blue_circle  | 93           |\n",
      "| yellow_blac.. | 60           |     yield     | 100          |  zone_start   | 40           |\n",
      "|  red_circle   | 123          | red_blue_ci.. | 29           | yield_bakside | 30           |\n",
      "| blue_white_.. | 103          |   zone_end    | 25           | red_triangle  | 13           |\n",
      "|               |              |               |              |               |              |\n",
      "|     total     | 1052         |               |              |               |              |\u001b[0m\n",
      "\u001b[32m[12/15 09:23:38 d2.data.dataset_mapper]: \u001b[0m[DatasetMapper] Augmentations used in training: [ResizeShortestEdge(short_edge_length=(640, 672, 704, 736, 768, 800), max_size=1333, sample_style='choice'), RandomFlip()]\n",
      "\u001b[32m[12/15 09:23:38 d2.data.build]: \u001b[0mUsing training sampler TrainingSampler\n",
      "\u001b[32m[12/15 09:23:38 d2.data.common]: \u001b[0mSerializing 554 elements to byte tensors and concatenating them all ...\n",
      "\u001b[32m[12/15 09:23:38 d2.data.common]: \u001b[0mSerialized dataset takes 0.24 MiB\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "model_final_a54504.pkl: 178MB [00:21, 8.13MB/s]                                                                        \n",
      "Skip loading parameter 'roi_heads.box_predictor.cls_score.weight' to the model due to incompatible shapes: (81, 1024) in the checkpoint but (16, 1024) in the model! You might want to double check if this is expected.\n",
      "Skip loading parameter 'roi_heads.box_predictor.cls_score.bias' to the model due to incompatible shapes: (81,) in the checkpoint but (16,) in the model! You might want to double check if this is expected.\n",
      "Skip loading parameter 'roi_heads.box_predictor.bbox_pred.weight' to the model due to incompatible shapes: (320, 1024) in the checkpoint but (60, 1024) in the model! You might want to double check if this is expected.\n",
      "Skip loading parameter 'roi_heads.box_predictor.bbox_pred.bias' to the model due to incompatible shapes: (320,) in the checkpoint but (60,) in the model! You might want to double check if this is expected.\n",
      "Skip loading parameter 'roi_heads.mask_head.predictor.weight' to the model due to incompatible shapes: (80, 256, 1, 1) in the checkpoint but (15, 256, 1, 1) in the model! You might want to double check if this is expected.\n",
      "Skip loading parameter 'roi_heads.mask_head.predictor.bias' to the model due to incompatible shapes: (80,) in the checkpoint but (15,) in the model! You might want to double check if this is expected.\n",
      "Some model parameters or buffers are not found in the checkpoint:\n",
      "\u001b[34mroi_heads.box_predictor.bbox_pred.{bias, weight}\u001b[0m\n",
      "\u001b[34mroi_heads.box_predictor.cls_score.{bias, weight}\u001b[0m\n",
      "\u001b[34mroi_heads.mask_head.predictor.{bias, weight}\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[32m[12/15 09:24:00 d2.engine.train_loop]: \u001b[0mStarting training from iteration 0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Rekha\\anaconda3\\envs\\detect\\lib\\site-packages\\torch\\functional.py:445: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at  ..\\aten\\src\\ATen\\native\\TensorShape.cpp:2157.)\n",
      "  return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[32m[12/15 09:24:15 d2.utils.events]: \u001b[0m eta: 3:22:20  iter: 19  total_loss: 3.54  loss_cls: 2.606  loss_box_reg: 0.05411  loss_mask: 0.694  loss_rpn_cls: 0.0953  loss_rpn_loc: 0.08295  time: 0.3032  data_time: 0.1143  lr: 4.9953e-06  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:24:21 d2.utils.events]: \u001b[0m eta: 3:25:19  iter: 39  total_loss: 3.356  loss_cls: 2.421  loss_box_reg: 0.05709  loss_mask: 0.6938  loss_rpn_cls: 0.06057  loss_rpn_loc: 0.06849  time: 0.3086  data_time: 0.1161  lr: 9.9902e-06  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:24:27 d2.utils.events]: \u001b[0m eta: 3:25:19  iter: 59  total_loss: 2.902  loss_cls: 2.016  loss_box_reg: 0.04468  loss_mask: 0.6913  loss_rpn_cls: 0.05561  loss_rpn_loc: 0.05998  time: 0.3092  data_time: 0.1153  lr: 1.4985e-05  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:24:33 d2.utils.events]: \u001b[0m eta: 3:25:07  iter: 79  total_loss: 2.42  loss_cls: 1.472  loss_box_reg: 0.06348  loss_mask: 0.6878  loss_rpn_cls: 0.07026  loss_rpn_loc: 0.08667  time: 0.3079  data_time: 0.1143  lr: 1.998e-05  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:24:39 d2.utils.events]: \u001b[0m eta: 3:25:10  iter: 99  total_loss: 1.669  loss_cls: 0.7346  loss_box_reg: 0.05146  loss_mask: 0.6818  loss_rpn_cls: 0.0902  loss_rpn_loc: 0.07573  time: 0.3076  data_time: 0.1163  lr: 2.4975e-05  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:24:45 d2.utils.events]: \u001b[0m eta: 3:25:01  iter: 119  total_loss: 1.123  loss_cls: 0.2725  loss_box_reg: 0.05591  loss_mask: 0.6725  loss_rpn_cls: 0.05486  loss_rpn_loc: 0.05566  time: 0.3072  data_time: 0.1161  lr: 2.997e-05  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:24:51 d2.utils.events]: \u001b[0m eta: 3:24:54  iter: 139  total_loss: 1.036  loss_cls: 0.1613  loss_box_reg: 0.04643  loss_mask: 0.6577  loss_rpn_cls: 0.05405  loss_rpn_loc: 0.07354  time: 0.3072  data_time: 0.1156  lr: 3.4965e-05  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:24:58 d2.utils.events]: \u001b[0m eta: 3:25:49  iter: 159  total_loss: 0.974  loss_cls: 0.171  loss_box_reg: 0.06089  loss_mask: 0.6541  loss_rpn_cls: 0.05038  loss_rpn_loc: 0.05014  time: 0.3081  data_time: 0.1151  lr: 3.996e-05  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:25:04 d2.utils.events]: \u001b[0m eta: 3:25:09  iter: 179  total_loss: 0.9913  loss_cls: 0.1356  loss_box_reg: 0.05901  loss_mask: 0.6343  loss_rpn_cls: 0.04388  loss_rpn_loc: 0.06352  time: 0.3077  data_time: 0.1152  lr: 4.4955e-05  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:25:10 d2.utils.events]: \u001b[0m eta: 3:25:32  iter: 199  total_loss: 0.9405  loss_cls: 0.1376  loss_box_reg: 0.05673  loss_mask: 0.6283  loss_rpn_cls: 0.04799  loss_rpn_loc: 0.05936  time: 0.3077  data_time: 0.1147  lr: 4.995e-05  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:25:16 d2.utils.events]: \u001b[0m eta: 3:24:45  iter: 219  total_loss: 1.002  loss_cls: 0.147  loss_box_reg: 0.06434  loss_mask: 0.6302  loss_rpn_cls: 0.05998  loss_rpn_loc: 0.06522  time: 0.3070  data_time: 0.1151  lr: 5.4945e-05  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:25:22 d2.utils.events]: \u001b[0m eta: 3:24:27  iter: 239  total_loss: 0.8975  loss_cls: 0.135  loss_box_reg: 0.06232  loss_mask: 0.5817  loss_rpn_cls: 0.04898  loss_rpn_loc: 0.06348  time: 0.3068  data_time: 0.1151  lr: 5.994e-05  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:25:28 d2.utils.events]: \u001b[0m eta: 3:24:32  iter: 259  total_loss: 0.9184  loss_cls: 0.1342  loss_box_reg: 0.04876  loss_mask: 0.584  loss_rpn_cls: 0.05289  loss_rpn_loc: 0.05052  time: 0.3069  data_time: 0.1161  lr: 6.4935e-05  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:25:34 d2.utils.events]: \u001b[0m eta: 3:24:11  iter: 279  total_loss: 0.8619  loss_cls: 0.1488  loss_box_reg: 0.07144  loss_mask: 0.5853  loss_rpn_cls: 0.04826  loss_rpn_loc: 0.04897  time: 0.3068  data_time: 0.1155  lr: 6.993e-05  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:25:41 d2.utils.events]: \u001b[0m eta: 3:24:04  iter: 299  total_loss: 0.8593  loss_cls: 0.1404  loss_box_reg: 0.07285  loss_mask: 0.5558  loss_rpn_cls: 0.03785  loss_rpn_loc: 0.05689  time: 0.3066  data_time: 0.1150  lr: 7.4925e-05  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:25:47 d2.utils.events]: \u001b[0m eta: 3:23:58  iter: 319  total_loss: 0.7978  loss_cls: 0.1526  loss_box_reg: 0.0751  loss_mask: 0.5172  loss_rpn_cls: 0.03803  loss_rpn_loc: 0.04219  time: 0.3068  data_time: 0.1141  lr: 7.992e-05  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:25:53 d2.utils.events]: \u001b[0m eta: 3:23:52  iter: 339  total_loss: 0.8369  loss_cls: 0.147  loss_box_reg: 0.07622  loss_mask: 0.5218  loss_rpn_cls: 0.04017  loss_rpn_loc: 0.0427  time: 0.3069  data_time: 0.1140  lr: 8.4915e-05  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:25:59 d2.utils.events]: \u001b[0m eta: 3:23:45  iter: 359  total_loss: 0.8112  loss_cls: 0.1539  loss_box_reg: 0.08175  loss_mask: 0.4981  loss_rpn_cls: 0.03963  loss_rpn_loc: 0.04851  time: 0.3068  data_time: 0.1129  lr: 8.991e-05  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:26:05 d2.utils.events]: \u001b[0m eta: 3:23:41  iter: 379  total_loss: 0.8287  loss_cls: 0.1521  loss_box_reg: 0.07127  loss_mask: 0.5031  loss_rpn_cls: 0.02717  loss_rpn_loc: 0.05209  time: 0.3070  data_time: 0.1150  lr: 9.4905e-05  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:26:11 d2.utils.events]: \u001b[0m eta: 3:23:35  iter: 399  total_loss: 0.8065  loss_cls: 0.1473  loss_box_reg: 0.07901  loss_mask: 0.4686  loss_rpn_cls: 0.03921  loss_rpn_loc: 0.05708  time: 0.3069  data_time: 0.1138  lr: 9.99e-05  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:26:18 d2.utils.events]: \u001b[0m eta: 3:23:35  iter: 419  total_loss: 0.6634  loss_cls: 0.1114  loss_box_reg: 0.05423  loss_mask: 0.4338  loss_rpn_cls: 0.03998  loss_rpn_loc: 0.05652  time: 0.3070  data_time: 0.1137  lr: 0.0001049  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:26:24 d2.utils.events]: \u001b[0m eta: 3:23:39  iter: 439  total_loss: 0.7064  loss_cls: 0.1296  loss_box_reg: 0.06143  loss_mask: 0.4325  loss_rpn_cls: 0.0326  loss_rpn_loc: 0.04242  time: 0.3070  data_time: 0.1133  lr: 0.00010989  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:26:30 d2.utils.events]: \u001b[0m eta: 3:23:43  iter: 459  total_loss: 0.7975  loss_cls: 0.1426  loss_box_reg: 0.07876  loss_mask: 0.4215  loss_rpn_cls: 0.03443  loss_rpn_loc: 0.06885  time: 0.3073  data_time: 0.1141  lr: 0.00011489  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:26:36 d2.utils.events]: \u001b[0m eta: 3:23:58  iter: 479  total_loss: 0.7369  loss_cls: 0.1248  loss_box_reg: 0.0739  loss_mask: 0.4434  loss_rpn_cls: 0.03351  loss_rpn_loc: 0.03493  time: 0.3075  data_time: 0.1142  lr: 0.00011988  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:26:43 d2.utils.events]: \u001b[0m eta: 3:24:10  iter: 499  total_loss: 0.7541  loss_cls: 0.128  loss_box_reg: 0.07504  loss_mask: 0.4266  loss_rpn_cls: 0.03689  loss_rpn_loc: 0.03723  time: 0.3079  data_time: 0.1151  lr: 0.00012488  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:26:49 d2.utils.events]: \u001b[0m eta: 3:23:58  iter: 519  total_loss: 0.6881  loss_cls: 0.1284  loss_box_reg: 0.0723  loss_mask: 0.3895  loss_rpn_cls: 0.03829  loss_rpn_loc: 0.04883  time: 0.3079  data_time: 0.1142  lr: 0.00012987  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:26:55 d2.utils.events]: \u001b[0m eta: 3:23:53  iter: 539  total_loss: 0.7248  loss_cls: 0.1391  loss_box_reg: 0.07022  loss_mask: 0.4024  loss_rpn_cls: 0.03592  loss_rpn_loc: 0.06065  time: 0.3080  data_time: 0.1134  lr: 0.00013487  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:27:01 d2.utils.events]: \u001b[0m eta: 3:23:52  iter: 559  total_loss: 0.6934  loss_cls: 0.1323  loss_box_reg: 0.07505  loss_mask: 0.3682  loss_rpn_cls: 0.03254  loss_rpn_loc: 0.04335  time: 0.3080  data_time: 0.1138  lr: 0.00013986  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:27:07 d2.utils.events]: \u001b[0m eta: 3:23:46  iter: 579  total_loss: 0.7147  loss_cls: 0.1236  loss_box_reg: 0.0817  loss_mask: 0.3909  loss_rpn_cls: 0.03517  loss_rpn_loc: 0.04571  time: 0.3079  data_time: 0.1139  lr: 0.00014486  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:27:13 d2.utils.events]: \u001b[0m eta: 3:23:44  iter: 599  total_loss: 0.7279  loss_cls: 0.1393  loss_box_reg: 0.0805  loss_mask: 0.4022  loss_rpn_cls: 0.03474  loss_rpn_loc: 0.05425  time: 0.3079  data_time: 0.1127  lr: 0.00014985  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:27:20 d2.utils.events]: \u001b[0m eta: 3:23:58  iter: 619  total_loss: 0.6183  loss_cls: 0.1115  loss_box_reg: 0.07129  loss_mask: 0.3359  loss_rpn_cls: 0.02785  loss_rpn_loc: 0.04622  time: 0.3081  data_time: 0.1126  lr: 0.00015485  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:27:26 d2.utils.events]: \u001b[0m eta: 3:23:50  iter: 639  total_loss: 0.6765  loss_cls: 0.1569  loss_box_reg: 0.09744  loss_mask: 0.3713  loss_rpn_cls: 0.02937  loss_rpn_loc: 0.05564  time: 0.3081  data_time: 0.1126  lr: 0.00015984  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:27:32 d2.utils.events]: \u001b[0m eta: 3:23:34  iter: 659  total_loss: 0.5873  loss_cls: 0.1069  loss_box_reg: 0.06264  loss_mask: 0.3321  loss_rpn_cls: 0.02223  loss_rpn_loc: 0.0492  time: 0.3081  data_time: 0.1133  lr: 0.00016484  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:27:38 d2.utils.events]: \u001b[0m eta: 3:23:27  iter: 679  total_loss: 0.6971  loss_cls: 0.131  loss_box_reg: 0.08787  loss_mask: 0.3546  loss_rpn_cls: 0.0273  loss_rpn_loc: 0.0604  time: 0.3081  data_time: 0.1125  lr: 0.00016983  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:27:44 d2.utils.events]: \u001b[0m eta: 3:23:19  iter: 699  total_loss: 0.6613  loss_cls: 0.1181  loss_box_reg: 0.07928  loss_mask: 0.3344  loss_rpn_cls: 0.0265  loss_rpn_loc: 0.04711  time: 0.3081  data_time: 0.1137  lr: 0.00017483  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:27:51 d2.utils.events]: \u001b[0m eta: 3:23:13  iter: 719  total_loss: 0.6194  loss_cls: 0.113  loss_box_reg: 0.07554  loss_mask: 0.2918  loss_rpn_cls: 0.02888  loss_rpn_loc: 0.03372  time: 0.3081  data_time: 0.1137  lr: 0.00017982  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:27:57 d2.utils.events]: \u001b[0m eta: 3:23:07  iter: 739  total_loss: 0.6661  loss_cls: 0.1301  loss_box_reg: 0.09927  loss_mask: 0.3413  loss_rpn_cls: 0.02037  loss_rpn_loc: 0.05253  time: 0.3083  data_time: 0.1140  lr: 0.00018482  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:28:03 d2.utils.events]: \u001b[0m eta: 3:23:07  iter: 759  total_loss: 0.6713  loss_cls: 0.1474  loss_box_reg: 0.09827  loss_mask: 0.3446  loss_rpn_cls: 0.02472  loss_rpn_loc: 0.04529  time: 0.3084  data_time: 0.1134  lr: 0.00018981  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:28:09 d2.utils.events]: \u001b[0m eta: 3:22:56  iter: 779  total_loss: 0.5464  loss_cls: 0.1002  loss_box_reg: 0.05497  loss_mask: 0.2806  loss_rpn_cls: 0.02506  loss_rpn_loc: 0.05415  time: 0.3082  data_time: 0.1131  lr: 0.00019481  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:28:16 d2.utils.events]: \u001b[0m eta: 3:22:58  iter: 799  total_loss: 0.6203  loss_cls: 0.114  loss_box_reg: 0.08132  loss_mask: 0.3222  loss_rpn_cls: 0.02572  loss_rpn_loc: 0.0327  time: 0.3083  data_time: 0.1125  lr: 0.0001998  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:28:22 d2.utils.events]: \u001b[0m eta: 3:22:56  iter: 819  total_loss: 0.6317  loss_cls: 0.1201  loss_box_reg: 0.07091  loss_mask: 0.3139  loss_rpn_cls: 0.03212  loss_rpn_loc: 0.05865  time: 0.3084  data_time: 0.1138  lr: 0.0002048  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:28:28 d2.utils.events]: \u001b[0m eta: 3:22:50  iter: 839  total_loss: 0.5877  loss_cls: 0.1101  loss_box_reg: 0.07376  loss_mask: 0.2819  loss_rpn_cls: 0.0316  loss_rpn_loc: 0.04857  time: 0.3085  data_time: 0.1147  lr: 0.00020979  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:28:35 d2.utils.events]: \u001b[0m eta: 3:22:53  iter: 859  total_loss: 0.6309  loss_cls: 0.1356  loss_box_reg: 0.1039  loss_mask: 0.3279  loss_rpn_cls: 0.02046  loss_rpn_loc: 0.03509  time: 0.3088  data_time: 0.1143  lr: 0.00021479  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:28:41 d2.utils.events]: \u001b[0m eta: 3:22:57  iter: 879  total_loss: 0.6168  loss_cls: 0.1454  loss_box_reg: 0.0833  loss_mask: 0.3285  loss_rpn_cls: 0.02574  loss_rpn_loc: 0.05057  time: 0.3093  data_time: 0.1135  lr: 0.00021978  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:28:47 d2.utils.events]: \u001b[0m eta: 3:22:55  iter: 899  total_loss: 0.5974  loss_cls: 0.1079  loss_box_reg: 0.0793  loss_mask: 0.2983  loss_rpn_cls: 0.02377  loss_rpn_loc: 0.04571  time: 0.3094  data_time: 0.1155  lr: 0.00022478  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:28:54 d2.utils.events]: \u001b[0m eta: 3:22:50  iter: 919  total_loss: 0.6093  loss_cls: 0.1087  loss_box_reg: 0.08941  loss_mask: 0.3066  loss_rpn_cls: 0.03125  loss_rpn_loc: 0.04182  time: 0.3096  data_time: 0.1132  lr: 0.00022977  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:29:00 d2.utils.events]: \u001b[0m eta: 3:22:48  iter: 939  total_loss: 0.5983  loss_cls: 0.1036  loss_box_reg: 0.08193  loss_mask: 0.3067  loss_rpn_cls: 0.02315  loss_rpn_loc: 0.0449  time: 0.3097  data_time: 0.1141  lr: 0.00023477  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:29:06 d2.utils.events]: \u001b[0m eta: 3:22:43  iter: 959  total_loss: 0.6281  loss_cls: 0.1255  loss_box_reg: 0.09211  loss_mask: 0.2882  loss_rpn_cls: 0.02543  loss_rpn_loc: 0.05003  time: 0.3097  data_time: 0.1135  lr: 0.00023976  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:29:12 d2.utils.events]: \u001b[0m eta: 3:22:40  iter: 979  total_loss: 0.601  loss_cls: 0.1061  loss_box_reg: 0.08202  loss_mask: 0.3027  loss_rpn_cls: 0.02515  loss_rpn_loc: 0.03862  time: 0.3097  data_time: 0.1144  lr: 0.00024476  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:29:19 d2.utils.events]: \u001b[0m eta: 3:22:40  iter: 999  total_loss: 0.6103  loss_cls: 0.1299  loss_box_reg: 0.1052  loss_mask: 0.2868  loss_rpn_cls: 0.02811  loss_rpn_loc: 0.05582  time: 0.3098  data_time: 0.1135  lr: 0.00024975  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:29:25 d2.utils.events]: \u001b[0m eta: 3:22:51  iter: 1019  total_loss: 0.592  loss_cls: 0.09731  loss_box_reg: 0.0699  loss_mask: 0.3099  loss_rpn_cls: 0.02715  loss_rpn_loc: 0.07225  time: 0.3098  data_time: 0.1128  lr: 0.00025  max_mem: 1836M\n",
      "\u001b[32m[12/15 09:29:31 d2.utils.events]: \u001b[0m eta: 3:22:43  iter: 1039  total_loss: 0.6201  loss_cls: 0.1177  loss_box_reg: 0.07852  loss_mask: 0.3333  loss_rpn_cls: 0.025  loss_rpn_loc: 0.04551  time: 0.3099  data_time: 0.1140  lr: 0.00025  max_mem: 1841M\n",
      "\u001b[32m[12/15 09:29:38 d2.utils.events]: \u001b[0m eta: 3:22:37  iter: 1059  total_loss: 0.5029  loss_cls: 0.09966  loss_box_reg: 0.07755  loss_mask: 0.2743  loss_rpn_cls: 0.01729  loss_rpn_loc: 0.0284  time: 0.3099  data_time: 0.1134  lr: 0.00025  max_mem: 1841M\n",
      "\u001b[32m[12/15 09:29:44 d2.utils.events]: \u001b[0m eta: 3:22:34  iter: 1079  total_loss: 0.5348  loss_cls: 0.09758  loss_box_reg: 0.06751  loss_mask: 0.2852  loss_rpn_cls: 0.0182  loss_rpn_loc: 0.03825  time: 0.3099  data_time: 0.1142  lr: 0.00025  max_mem: 1841M\n",
      "\u001b[32m[12/15 09:29:50 d2.utils.events]: \u001b[0m eta: 3:22:28  iter: 1099  total_loss: 0.6211  loss_cls: 0.1481  loss_box_reg: 0.1261  loss_mask: 0.2729  loss_rpn_cls: 0.02035  loss_rpn_loc: 0.02858  time: 0.3099  data_time: 0.1135  lr: 0.00025  max_mem: 1841M\n",
      "\u001b[32m[12/15 09:29:56 d2.utils.events]: \u001b[0m eta: 3:22:19  iter: 1119  total_loss: 0.6074  loss_cls: 0.1111  loss_box_reg: 0.0832  loss_mask: 0.3414  loss_rpn_cls: 0.01884  loss_rpn_loc: 0.03842  time: 0.3098  data_time: 0.1136  lr: 0.00025  max_mem: 1841M\n",
      "\u001b[32m[12/15 09:30:02 d2.utils.events]: \u001b[0m eta: 3:22:15  iter: 1139  total_loss: 0.5476  loss_cls: 0.1108  loss_box_reg: 0.09947  loss_mask: 0.2728  loss_rpn_cls: 0.01535  loss_rpn_loc: 0.04386  time: 0.3099  data_time: 0.1136  lr: 0.00025  max_mem: 1841M\n",
      "\u001b[32m[12/15 09:30:09 d2.utils.events]: \u001b[0m eta: 3:22:04  iter: 1159  total_loss: 0.6264  loss_cls: 0.1054  loss_box_reg: 0.09535  loss_mask: 0.3245  loss_rpn_cls: 0.01651  loss_rpn_loc: 0.05262  time: 0.3099  data_time: 0.1135  lr: 0.00025  max_mem: 1841M\n",
      "\u001b[32m[12/15 09:30:15 d2.utils.events]: \u001b[0m eta: 3:21:59  iter: 1179  total_loss: 0.6241  loss_cls: 0.1335  loss_box_reg: 0.09635  loss_mask: 0.3008  loss_rpn_cls: 0.02224  loss_rpn_loc: 0.04384  time: 0.3099  data_time: 0.1145  lr: 0.00025  max_mem: 1847M\n",
      "\u001b[32m[12/15 09:30:21 d2.utils.events]: \u001b[0m eta: 3:21:53  iter: 1199  total_loss: 0.6229  loss_cls: 0.1326  loss_box_reg: 0.1019  loss_mask: 0.2882  loss_rpn_cls: 0.02129  loss_rpn_loc: 0.0445  time: 0.3099  data_time: 0.1146  lr: 0.00025  max_mem: 1847M\n",
      "\u001b[32m[12/15 09:30:27 d2.utils.events]: \u001b[0m eta: 3:21:52  iter: 1219  total_loss: 0.5966  loss_cls: 0.1136  loss_box_reg: 0.07304  loss_mask: 0.3397  loss_rpn_cls: 0.02133  loss_rpn_loc: 0.04617  time: 0.3099  data_time: 0.1125  lr: 0.00025  max_mem: 1847M\n",
      "\u001b[32m[12/15 09:30:33 d2.utils.events]: \u001b[0m eta: 3:21:44  iter: 1239  total_loss: 0.6062  loss_cls: 0.1175  loss_box_reg: 0.07028  loss_mask: 0.3082  loss_rpn_cls: 0.01641  loss_rpn_loc: 0.04506  time: 0.3099  data_time: 0.1133  lr: 0.00025  max_mem: 1847M\n",
      "\u001b[32m[12/15 09:30:40 d2.utils.events]: \u001b[0m eta: 3:21:36  iter: 1259  total_loss: 0.6436  loss_cls: 0.1343  loss_box_reg: 0.1071  loss_mask: 0.3108  loss_rpn_cls: 0.01907  loss_rpn_loc: 0.03171  time: 0.3099  data_time: 0.1125  lr: 0.00025  max_mem: 1847M\n",
      "\u001b[32m[12/15 09:30:46 d2.utils.events]: \u001b[0m eta: 3:21:41  iter: 1279  total_loss: 0.5999  loss_cls: 0.1157  loss_box_reg: 0.1054  loss_mask: 0.2856  loss_rpn_cls: 0.0191  loss_rpn_loc: 0.05156  time: 0.3100  data_time: 0.1152  lr: 0.00025  max_mem: 1847M\n",
      "\u001b[32m[12/15 09:30:52 d2.utils.events]: \u001b[0m eta: 3:21:39  iter: 1299  total_loss: 0.5468  loss_cls: 0.1112  loss_box_reg: 0.09542  loss_mask: 0.2633  loss_rpn_cls: 0.02525  loss_rpn_loc: 0.04219  time: 0.3100  data_time: 0.1135  lr: 0.00025  max_mem: 1847M\n",
      "\u001b[32m[12/15 09:30:58 d2.utils.events]: \u001b[0m eta: 3:21:41  iter: 1319  total_loss: 0.6112  loss_cls: 0.1167  loss_box_reg: 0.09506  loss_mask: 0.2835  loss_rpn_cls: 0.02525  loss_rpn_loc: 0.0464  time: 0.3099  data_time: 0.1131  lr: 0.00025  max_mem: 1847M\n",
      "\u001b[32m[12/15 09:31:05 d2.utils.events]: \u001b[0m eta: 3:21:43  iter: 1339  total_loss: 0.5379  loss_cls: 0.07379  loss_box_reg: 0.07335  loss_mask: 0.2822  loss_rpn_cls: 0.02156  loss_rpn_loc: 0.03874  time: 0.3100  data_time: 0.1138  lr: 0.00025  max_mem: 1847M\n",
      "\u001b[32m[12/15 09:31:11 d2.utils.events]: \u001b[0m eta: 3:21:42  iter: 1359  total_loss: 0.5805  loss_cls: 0.1244  loss_box_reg: 0.1007  loss_mask: 0.2577  loss_rpn_cls: 0.02444  loss_rpn_loc: 0.05134  time: 0.3100  data_time: 0.1129  lr: 0.00025  max_mem: 1847M\n",
      "\u001b[32m[12/15 09:31:17 d2.utils.events]: \u001b[0m eta: 3:21:39  iter: 1379  total_loss: 0.588  loss_cls: 0.1004  loss_box_reg: 0.1061  loss_mask: 0.2695  loss_rpn_cls: 0.02152  loss_rpn_loc: 0.04549  time: 0.3100  data_time: 0.1137  lr: 0.00025  max_mem: 1847M\n",
      "\u001b[32m[12/15 09:31:23 d2.utils.events]: \u001b[0m eta: 3:21:37  iter: 1399  total_loss: 0.5727  loss_cls: 0.1213  loss_box_reg: 0.1023  loss_mask: 0.27  loss_rpn_cls: 0.01992  loss_rpn_loc: 0.03589  time: 0.3100  data_time: 0.1145  lr: 0.00025  max_mem: 1847M\n",
      "\u001b[32m[12/15 09:31:29 d2.utils.events]: \u001b[0m eta: 3:21:31  iter: 1419  total_loss: 0.6255  loss_cls: 0.1064  loss_box_reg: 0.09757  loss_mask: 0.2861  loss_rpn_cls: 0.01564  loss_rpn_loc: 0.04128  time: 0.3100  data_time: 0.1140  lr: 0.00025  max_mem: 1847M\n",
      "\u001b[32m[12/15 09:31:36 d2.utils.events]: \u001b[0m eta: 3:21:22  iter: 1439  total_loss: 0.5349  loss_cls: 0.1013  loss_box_reg: 0.09254  loss_mask: 0.2618  loss_rpn_cls: 0.01546  loss_rpn_loc: 0.03835  time: 0.3100  data_time: 0.1147  lr: 0.00025  max_mem: 1847M\n",
      "\u001b[32m[12/15 09:31:42 d2.utils.events]: \u001b[0m eta: 3:21:19  iter: 1459  total_loss: 0.5878  loss_cls: 0.116  loss_box_reg: 0.09133  loss_mask: 0.3191  loss_rpn_cls: 0.0188  loss_rpn_loc: 0.03778  time: 0.3100  data_time: 0.1141  lr: 0.00025  max_mem: 1847M\n",
      "\u001b[32m[12/15 09:31:48 d2.utils.events]: \u001b[0m eta: 3:21:12  iter: 1479  total_loss: 0.4791  loss_cls: 0.08274  loss_box_reg: 0.09136  loss_mask: 0.2395  loss_rpn_cls: 0.01177  loss_rpn_loc: 0.04112  time: 0.3101  data_time: 0.1144  lr: 0.00025  max_mem: 1847M\n",
      "\u001b[32m[12/15 09:31:55 d2.utils.events]: \u001b[0m eta: 3:21:02  iter: 1499  total_loss: 0.5581  loss_cls: 0.101  loss_box_reg: 0.102  loss_mask: 0.249  loss_rpn_cls: 0.02076  loss_rpn_loc: 0.03899  time: 0.3101  data_time: 0.1132  lr: 0.00025  max_mem: 1847M\n",
      "\u001b[32m[12/15 09:32:01 d2.utils.events]: \u001b[0m eta: 3:20:53  iter: 1519  total_loss: 0.5897  loss_cls: 0.1015  loss_box_reg: 0.104  loss_mask: 0.2908  loss_rpn_cls: 0.01857  loss_rpn_loc: 0.06074  time: 0.3102  data_time: 0.1139  lr: 0.00025  max_mem: 1847M\n",
      "\u001b[32m[12/15 09:32:07 d2.utils.events]: \u001b[0m eta: 3:20:56  iter: 1539  total_loss: 0.5372  loss_cls: 0.1102  loss_box_reg: 0.08373  loss_mask: 0.2638  loss_rpn_cls: 0.0147  loss_rpn_loc: 0.03043  time: 0.3102  data_time: 0.1146  lr: 0.00025  max_mem: 1847M\n",
      "\u001b[32m[12/15 09:32:13 d2.utils.events]: \u001b[0m eta: 3:20:49  iter: 1559  total_loss: 0.5766  loss_cls: 0.0994  loss_box_reg: 0.08708  loss_mask: 0.2864  loss_rpn_cls: 0.02444  loss_rpn_loc: 0.03807  time: 0.3103  data_time: 0.1148  lr: 0.00025  max_mem: 1847M\n",
      "\u001b[32m[12/15 09:32:20 d2.utils.events]: \u001b[0m eta: 3:20:45  iter: 1579  total_loss: 0.5611  loss_cls: 0.1104  loss_box_reg: 0.09405  loss_mask: 0.2746  loss_rpn_cls: 0.01538  loss_rpn_loc: 0.0317  time: 0.3103  data_time: 0.1135  lr: 0.00025  max_mem: 1847M\n",
      "\u001b[32m[12/15 09:32:26 d2.utils.events]: \u001b[0m eta: 3:20:40  iter: 1599  total_loss: 0.5827  loss_cls: 0.1111  loss_box_reg: 0.09853  loss_mask: 0.2954  loss_rpn_cls: 0.0151  loss_rpn_loc: 0.02687  time: 0.3103  data_time: 0.1144  lr: 0.00025  max_mem: 1847M\n",
      "\u001b[32m[12/15 09:32:32 d2.utils.events]: \u001b[0m eta: 3:20:36  iter: 1619  total_loss: 0.5435  loss_cls: 0.1005  loss_box_reg: 0.103  loss_mask: 0.2751  loss_rpn_cls: 0.02018  loss_rpn_loc: 0.03273  time: 0.3104  data_time: 0.1131  lr: 0.00025  max_mem: 1847M\n",
      "\u001b[32m[12/15 09:32:38 d2.utils.events]: \u001b[0m eta: 3:20:34  iter: 1639  total_loss: 0.5546  loss_cls: 0.09458  loss_box_reg: 0.09801  loss_mask: 0.2539  loss_rpn_cls: 0.01455  loss_rpn_loc: 0.0393  time: 0.3104  data_time: 0.1146  lr: 0.00025  max_mem: 1847M\n",
      "\u001b[32m[12/15 09:32:45 d2.utils.events]: \u001b[0m eta: 3:20:35  iter: 1659  total_loss: 0.5935  loss_cls: 0.1342  loss_box_reg: 0.1084  loss_mask: 0.2927  loss_rpn_cls: 0.01239  loss_rpn_loc: 0.05014  time: 0.3105  data_time: 0.1152  lr: 0.00025  max_mem: 1854M\n",
      "\u001b[32m[12/15 09:32:51 d2.utils.events]: \u001b[0m eta: 3:20:44  iter: 1679  total_loss: 0.5951  loss_cls: 0.08788  loss_box_reg: 0.07621  loss_mask: 0.2821  loss_rpn_cls: 0.02216  loss_rpn_loc: 0.0525  time: 0.3106  data_time: 0.1148  lr: 0.00025  max_mem: 1926M\n",
      "\u001b[32m[12/15 09:32:58 d2.utils.events]: \u001b[0m eta: 3:20:53  iter: 1699  total_loss: 0.5022  loss_cls: 0.09674  loss_box_reg: 0.1021  loss_mask: 0.2543  loss_rpn_cls: 0.013  loss_rpn_loc: 0.03564  time: 0.3106  data_time: 0.1146  lr: 0.00025  max_mem: 1926M\n",
      "\u001b[32m[12/15 09:33:04 d2.utils.events]: \u001b[0m eta: 3:20:55  iter: 1719  total_loss: 0.5801  loss_cls: 0.1028  loss_box_reg: 0.09284  loss_mask: 0.2697  loss_rpn_cls: 0.01857  loss_rpn_loc: 0.04394  time: 0.3107  data_time: 0.1125  lr: 0.00025  max_mem: 1926M\n",
      "\u001b[32m[12/15 09:33:10 d2.utils.events]: \u001b[0m eta: 3:20:56  iter: 1739  total_loss: 0.5822  loss_cls: 0.1016  loss_box_reg: 0.08046  loss_mask: 0.2597  loss_rpn_cls: 0.01699  loss_rpn_loc: 0.05255  time: 0.3107  data_time: 0.1137  lr: 0.00025  max_mem: 1926M\n",
      "\u001b[32m[12/15 09:33:16 d2.utils.events]: \u001b[0m eta: 3:20:50  iter: 1759  total_loss: 0.5669  loss_cls: 0.1211  loss_box_reg: 0.1098  loss_mask: 0.2705  loss_rpn_cls: 0.0123  loss_rpn_loc: 0.03863  time: 0.3108  data_time: 0.1139  lr: 0.00025  max_mem: 1926M\n",
      "\u001b[32m[12/15 09:33:23 d2.utils.events]: \u001b[0m eta: 3:20:47  iter: 1779  total_loss: 0.5197  loss_cls: 0.08457  loss_box_reg: 0.08963  loss_mask: 0.2781  loss_rpn_cls: 0.0123  loss_rpn_loc: 0.04141  time: 0.3108  data_time: 0.1134  lr: 0.00025  max_mem: 1926M\n",
      "\u001b[32m[12/15 09:33:29 d2.utils.events]: \u001b[0m eta: 3:20:44  iter: 1799  total_loss: 0.5388  loss_cls: 0.09654  loss_box_reg: 0.08323  loss_mask: 0.2788  loss_rpn_cls: 0.01646  loss_rpn_loc: 0.03899  time: 0.3109  data_time: 0.1136  lr: 0.00025  max_mem: 1926M\n",
      "\u001b[32m[12/15 09:33:36 d2.utils.events]: \u001b[0m eta: 3:20:41  iter: 1819  total_loss: 0.5101  loss_cls: 0.08837  loss_box_reg: 0.09169  loss_mask: 0.2484  loss_rpn_cls: 0.01344  loss_rpn_loc: 0.02927  time: 0.3110  data_time: 0.1138  lr: 0.00025  max_mem: 1926M\n",
      "\u001b[32m[12/15 09:33:42 d2.utils.events]: \u001b[0m eta: 3:20:39  iter: 1839  total_loss: 0.5004  loss_cls: 0.08499  loss_box_reg: 0.07163  loss_mask: 0.279  loss_rpn_cls: 0.01564  loss_rpn_loc: 0.04578  time: 0.3110  data_time: 0.1135  lr: 0.00025  max_mem: 1926M\n",
      "\u001b[32m[12/15 09:33:48 d2.utils.events]: \u001b[0m eta: 3:20:25  iter: 1859  total_loss: 0.5829  loss_cls: 0.12  loss_box_reg: 0.09532  loss_mask: 0.3011  loss_rpn_cls: 0.01332  loss_rpn_loc: 0.04638  time: 0.3111  data_time: 0.1157  lr: 0.00025  max_mem: 1926M\n",
      "\u001b[32m[12/15 09:33:54 d2.utils.events]: \u001b[0m eta: 3:20:12  iter: 1879  total_loss: 0.5402  loss_cls: 0.1035  loss_box_reg: 0.07278  loss_mask: 0.2776  loss_rpn_cls: 0.01469  loss_rpn_loc: 0.03884  time: 0.3110  data_time: 0.1151  lr: 0.00025  max_mem: 1926M\n",
      "\u001b[32m[12/15 09:34:01 d2.utils.events]: \u001b[0m eta: 3:20:07  iter: 1899  total_loss: 0.4755  loss_cls: 0.1086  loss_box_reg: 0.09956  loss_mask: 0.2394  loss_rpn_cls: 0.01598  loss_rpn_loc: 0.03981  time: 0.3111  data_time: 0.1141  lr: 0.00025  max_mem: 1926M\n",
      "\u001b[32m[12/15 09:34:07 d2.utils.events]: \u001b[0m eta: 3:19:52  iter: 1919  total_loss: 0.5547  loss_cls: 0.08405  loss_box_reg: 0.07403  loss_mask: 0.2862  loss_rpn_cls: 0.01622  loss_rpn_loc: 0.02741  time: 0.3111  data_time: 0.1133  lr: 0.00025  max_mem: 1926M\n",
      "\u001b[32m[12/15 09:34:13 d2.utils.events]: \u001b[0m eta: 3:19:40  iter: 1939  total_loss: 0.4957  loss_cls: 0.1036  loss_box_reg: 0.07485  loss_mask: 0.2718  loss_rpn_cls: 0.01753  loss_rpn_loc: 0.0418  time: 0.3111  data_time: 0.1137  lr: 0.00025  max_mem: 1926M\n",
      "\u001b[32m[12/15 09:34:19 d2.utils.events]: \u001b[0m eta: 3:19:27  iter: 1959  total_loss: 0.5745  loss_cls: 0.1077  loss_box_reg: 0.08892  loss_mask: 0.2956  loss_rpn_cls: 0.01976  loss_rpn_loc: 0.0462  time: 0.3111  data_time: 0.1134  lr: 0.00025  max_mem: 1926M\n",
      "\u001b[32m[12/15 09:34:26 d2.utils.events]: \u001b[0m eta: 3:19:24  iter: 1979  total_loss: 0.5713  loss_cls: 0.1071  loss_box_reg: 0.1081  loss_mask: 0.2426  loss_rpn_cls: 0.0138  loss_rpn_loc: 0.05173  time: 0.3111  data_time: 0.1130  lr: 0.00025  max_mem: 1952M\n",
      "\u001b[32m[12/15 09:34:32 d2.utils.events]: \u001b[0m eta: 3:19:14  iter: 1999  total_loss: 0.4783  loss_cls: 0.08066  loss_box_reg: 0.08795  loss_mask: 0.2347  loss_rpn_cls: 0.01761  loss_rpn_loc: 0.03211  time: 0.3111  data_time: 0.1140  lr: 0.00025  max_mem: 1952M\n",
      "\u001b[32m[12/15 09:34:38 d2.utils.events]: \u001b[0m eta: 3:19:11  iter: 2019  total_loss: 0.5476  loss_cls: 0.1038  loss_box_reg: 0.0879  loss_mask: 0.2849  loss_rpn_cls: 0.01249  loss_rpn_loc: 0.04037  time: 0.3111  data_time: 0.1142  lr: 0.00025  max_mem: 1952M\n",
      "\u001b[32m[12/15 09:34:45 d2.utils.events]: \u001b[0m eta: 3:19:09  iter: 2039  total_loss: 0.5104  loss_cls: 0.08083  loss_box_reg: 0.09011  loss_mask: 0.2739  loss_rpn_cls: 0.01372  loss_rpn_loc: 0.04107  time: 0.3112  data_time: 0.1151  lr: 0.00025  max_mem: 1952M\n",
      "\u001b[32m[12/15 09:34:51 d2.utils.events]: \u001b[0m eta: 3:18:58  iter: 2059  total_loss: 0.5601  loss_cls: 0.09191  loss_box_reg: 0.0821  loss_mask: 0.2988  loss_rpn_cls: 0.0142  loss_rpn_loc: 0.04718  time: 0.3112  data_time: 0.1150  lr: 0.00025  max_mem: 1952M\n",
      "\u001b[32m[12/15 09:34:57 d2.utils.events]: \u001b[0m eta: 3:18:41  iter: 2079  total_loss: 0.4946  loss_cls: 0.0896  loss_box_reg: 0.06838  loss_mask: 0.2813  loss_rpn_cls: 0.01376  loss_rpn_loc: 0.03613  time: 0.3111  data_time: 0.1143  lr: 0.00025  max_mem: 1952M\n",
      "\u001b[32m[12/15 09:35:03 d2.utils.events]: \u001b[0m eta: 3:18:35  iter: 2099  total_loss: 0.495  loss_cls: 0.1051  loss_box_reg: 0.08531  loss_mask: 0.2317  loss_rpn_cls: 0.01635  loss_rpn_loc: 0.02838  time: 0.3111  data_time: 0.1144  lr: 0.00025  max_mem: 1952M\n",
      "\u001b[32m[12/15 09:35:09 d2.utils.events]: \u001b[0m eta: 3:18:40  iter: 2119  total_loss: 0.5037  loss_cls: 0.1019  loss_box_reg: 0.1011  loss_mask: 0.2593  loss_rpn_cls: 0.01428  loss_rpn_loc: 0.02366  time: 0.3112  data_time: 0.1142  lr: 0.00025  max_mem: 1952M\n",
      "\u001b[32m[12/15 09:35:16 d2.utils.events]: \u001b[0m eta: 3:18:35  iter: 2139  total_loss: 0.5314  loss_cls: 0.082  loss_box_reg: 0.08107  loss_mask: 0.2547  loss_rpn_cls: 0.01733  loss_rpn_loc: 0.05355  time: 0.3112  data_time: 0.1152  lr: 0.00025  max_mem: 1952M\n",
      "\u001b[32m[12/15 09:35:22 d2.utils.events]: \u001b[0m eta: 3:18:36  iter: 2159  total_loss: 0.4699  loss_cls: 0.07726  loss_box_reg: 0.08156  loss_mask: 0.2717  loss_rpn_cls: 0.007685  loss_rpn_loc: 0.03515  time: 0.3112  data_time: 0.1148  lr: 0.00025  max_mem: 1952M\n",
      "\u001b[32m[12/15 09:35:28 d2.utils.events]: \u001b[0m eta: 3:18:36  iter: 2179  total_loss: 0.498  loss_cls: 0.07933  loss_box_reg: 0.07544  loss_mask: 0.2487  loss_rpn_cls: 0.01105  loss_rpn_loc: 0.03493  time: 0.3113  data_time: 0.1145  lr: 0.00025  max_mem: 1952M\n",
      "\u001b[32m[12/15 09:35:35 d2.utils.events]: \u001b[0m eta: 3:18:35  iter: 2199  total_loss: 0.58  loss_cls: 0.1011  loss_box_reg: 0.09852  loss_mask: 0.3185  loss_rpn_cls: 0.01485  loss_rpn_loc: 0.04649  time: 0.3113  data_time: 0.1147  lr: 0.00025  max_mem: 1952M\n",
      "\u001b[32m[12/15 09:35:41 d2.utils.events]: \u001b[0m eta: 3:18:44  iter: 2219  total_loss: 0.4649  loss_cls: 0.08171  loss_box_reg: 0.07195  loss_mask: 0.2622  loss_rpn_cls: 0.01203  loss_rpn_loc: 0.0439  time: 0.3114  data_time: 0.1135  lr: 0.00025  max_mem: 1952M\n",
      "\u001b[32m[12/15 09:35:47 d2.utils.events]: \u001b[0m eta: 3:18:52  iter: 2239  total_loss: 0.5136  loss_cls: 0.08846  loss_box_reg: 0.08594  loss_mask: 0.2817  loss_rpn_cls: 0.01107  loss_rpn_loc: 0.03976  time: 0.3114  data_time: 0.1155  lr: 0.00025  max_mem: 1952M\n",
      "\u001b[32m[12/15 09:35:54 d2.utils.events]: \u001b[0m eta: 3:18:41  iter: 2259  total_loss: 0.4784  loss_cls: 0.06866  loss_box_reg: 0.08808  loss_mask: 0.2481  loss_rpn_cls: 0.01135  loss_rpn_loc: 0.04897  time: 0.3114  data_time: 0.1145  lr: 0.00025  max_mem: 1952M\n",
      "\u001b[32m[12/15 09:36:00 d2.utils.events]: \u001b[0m eta: 3:18:35  iter: 2279  total_loss: 0.4507  loss_cls: 0.08342  loss_box_reg: 0.07874  loss_mask: 0.2639  loss_rpn_cls: 0.009148  loss_rpn_loc: 0.03985  time: 0.3115  data_time: 0.1140  lr: 0.00025  max_mem: 1952M\n",
      "\u001b[32m[12/15 09:36:06 d2.utils.events]: \u001b[0m eta: 3:18:28  iter: 2299  total_loss: 0.4972  loss_cls: 0.0894  loss_box_reg: 0.07149  loss_mask: 0.2649  loss_rpn_cls: 0.01611  loss_rpn_loc: 0.03191  time: 0.3114  data_time: 0.1141  lr: 0.00025  max_mem: 1952M\n",
      "\u001b[32m[12/15 09:36:12 d2.utils.events]: \u001b[0m eta: 3:18:22  iter: 2319  total_loss: 0.5339  loss_cls: 0.1031  loss_box_reg: 0.07505  loss_mask: 0.2499  loss_rpn_cls: 0.01531  loss_rpn_loc: 0.03715  time: 0.3114  data_time: 0.1145  lr: 0.00025  max_mem: 1952M\n",
      "\u001b[32m[12/15 09:36:19 d2.utils.events]: \u001b[0m eta: 3:18:10  iter: 2339  total_loss: 0.5198  loss_cls: 0.08898  loss_box_reg: 0.09217  loss_mask: 0.2544  loss_rpn_cls: 0.01142  loss_rpn_loc: 0.0318  time: 0.3114  data_time: 0.1150  lr: 0.00025  max_mem: 1952M\n",
      "\u001b[32m[12/15 09:36:25 d2.utils.events]: \u001b[0m eta: 3:18:16  iter: 2359  total_loss: 0.4972  loss_cls: 0.08915  loss_box_reg: 0.08619  loss_mask: 0.2665  loss_rpn_cls: 0.01917  loss_rpn_loc: 0.03868  time: 0.3115  data_time: 0.1142  lr: 0.00025  max_mem: 1952M\n",
      "\u001b[32m[12/15 09:36:31 d2.utils.events]: \u001b[0m eta: 3:18:08  iter: 2379  total_loss: 0.4874  loss_cls: 0.07983  loss_box_reg: 0.06763  loss_mask: 0.2819  loss_rpn_cls: 0.0124  loss_rpn_loc: 0.03006  time: 0.3115  data_time: 0.1148  lr: 0.00025  max_mem: 1952M\n",
      "\u001b[32m[12/15 09:36:38 d2.utils.events]: \u001b[0m eta: 3:18:02  iter: 2399  total_loss: 0.5243  loss_cls: 0.09286  loss_box_reg: 0.09786  loss_mask: 0.2616  loss_rpn_cls: 0.009337  loss_rpn_loc: 0.05667  time: 0.3115  data_time: 0.1147  lr: 0.00025  max_mem: 1952M\n",
      "\u001b[32m[12/15 09:36:44 d2.utils.events]: \u001b[0m eta: 3:17:55  iter: 2419  total_loss: 0.5705  loss_cls: 0.08093  loss_box_reg: 0.07232  loss_mask: 0.2611  loss_rpn_cls: 0.01409  loss_rpn_loc: 0.05728  time: 0.3115  data_time: 0.1142  lr: 0.00025  max_mem: 1952M\n",
      "\u001b[32m[12/15 09:36:50 d2.utils.events]: \u001b[0m eta: 3:17:47  iter: 2439  total_loss: 0.5127  loss_cls: 0.08711  loss_box_reg: 0.07236  loss_mask: 0.2792  loss_rpn_cls: 0.01553  loss_rpn_loc: 0.04977  time: 0.3115  data_time: 0.1145  lr: 0.00025  max_mem: 1952M\n",
      "\u001b[32m[12/15 09:36:56 d2.utils.events]: \u001b[0m eta: 3:17:32  iter: 2459  total_loss: 0.4895  loss_cls: 0.09585  loss_box_reg: 0.07679  loss_mask: 0.2538  loss_rpn_cls: 0.01348  loss_rpn_loc: 0.03967  time: 0.3115  data_time: 0.1144  lr: 0.00025  max_mem: 1952M\n",
      "\u001b[32m[12/15 09:37:02 d2.utils.events]: \u001b[0m eta: 3:17:24  iter: 2479  total_loss: 0.4458  loss_cls: 0.08777  loss_box_reg: 0.08212  loss_mask: 0.2439  loss_rpn_cls: 0.0137  loss_rpn_loc: 0.03412  time: 0.3115  data_time: 0.1142  lr: 0.00025  max_mem: 1952M\n",
      "\u001b[32m[12/15 09:37:09 d2.utils.events]: \u001b[0m eta: 3:17:18  iter: 2499  total_loss: 0.4685  loss_cls: 0.07886  loss_box_reg: 0.08186  loss_mask: 0.2586  loss_rpn_cls: 0.01206  loss_rpn_loc: 0.0397  time: 0.3115  data_time: 0.1138  lr: 0.00025  max_mem: 1952M\n",
      "\u001b[32m[12/15 09:37:15 d2.utils.events]: \u001b[0m eta: 3:17:19  iter: 2519  total_loss: 0.4787  loss_cls: 0.07781  loss_box_reg: 0.0777  loss_mask: 0.2508  loss_rpn_cls: 0.01235  loss_rpn_loc: 0.02788  time: 0.3116  data_time: 0.1153  lr: 0.00025  max_mem: 1952M\n",
      "\u001b[32m[12/15 09:37:22 d2.utils.events]: \u001b[0m eta: 3:17:07  iter: 2539  total_loss: 0.5305  loss_cls: 0.08721  loss_box_reg: 0.09521  loss_mask: 0.242  loss_rpn_cls: 0.01605  loss_rpn_loc: 0.04587  time: 0.3117  data_time: 0.1160  lr: 0.00025  max_mem: 1952M\n",
      "\u001b[32m[12/15 09:37:28 d2.utils.events]: \u001b[0m eta: 3:17:09  iter: 2559  total_loss: 0.5011  loss_cls: 0.1063  loss_box_reg: 0.1023  loss_mask: 0.248  loss_rpn_cls: 0.01171  loss_rpn_loc: 0.03478  time: 0.3118  data_time: 0.1153  lr: 0.00025  max_mem: 1952M\n",
      "\u001b[32m[12/15 09:37:35 d2.utils.events]: \u001b[0m eta: 3:17:07  iter: 2579  total_loss: 0.5119  loss_cls: 0.08897  loss_box_reg: 0.0876  loss_mask: 0.2699  loss_rpn_cls: 0.0123  loss_rpn_loc: 0.04482  time: 0.3118  data_time: 0.1141  lr: 0.00025  max_mem: 1952M\n",
      "\u001b[32m[12/15 09:37:41 d2.utils.events]: \u001b[0m eta: 3:17:10  iter: 2599  total_loss: 0.5138  loss_cls: 0.0898  loss_box_reg: 0.08641  loss_mask: 0.2388  loss_rpn_cls: 0.01711  loss_rpn_loc: 0.02908  time: 0.3119  data_time: 0.1153  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:37:47 d2.utils.events]: \u001b[0m eta: 3:16:56  iter: 2619  total_loss: 0.4599  loss_cls: 0.07654  loss_box_reg: 0.06415  loss_mask: 0.2502  loss_rpn_cls: 0.009907  loss_rpn_loc: 0.04008  time: 0.3119  data_time: 0.1153  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:37:54 d2.utils.events]: \u001b[0m eta: 3:17:13  iter: 2639  total_loss: 0.4582  loss_cls: 0.0697  loss_box_reg: 0.0851  loss_mask: 0.2481  loss_rpn_cls: 0.008545  loss_rpn_loc: 0.04013  time: 0.3122  data_time: 0.1170  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:38:01 d2.utils.events]: \u001b[0m eta: 3:17:11  iter: 2659  total_loss: 0.491  loss_cls: 0.07703  loss_box_reg: 0.06719  loss_mask: 0.2527  loss_rpn_cls: 0.01372  loss_rpn_loc: 0.04583  time: 0.3122  data_time: 0.1150  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:38:07 d2.utils.events]: \u001b[0m eta: 3:17:07  iter: 2679  total_loss: 0.4774  loss_cls: 0.08043  loss_box_reg: 0.07958  loss_mask: 0.2301  loss_rpn_cls: 0.01325  loss_rpn_loc: 0.04346  time: 0.3123  data_time: 0.1156  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:38:13 d2.utils.events]: \u001b[0m eta: 3:16:54  iter: 2699  total_loss: 0.4987  loss_cls: 0.08578  loss_box_reg: 0.07769  loss_mask: 0.2532  loss_rpn_cls: 0.01217  loss_rpn_loc: 0.03939  time: 0.3122  data_time: 0.1152  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:38:19 d2.utils.events]: \u001b[0m eta: 3:16:48  iter: 2719  total_loss: 0.412  loss_cls: 0.05961  loss_box_reg: 0.06252  loss_mask: 0.2528  loss_rpn_cls: 0.008185  loss_rpn_loc: 0.03471  time: 0.3123  data_time: 0.1144  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:38:26 d2.utils.events]: \u001b[0m eta: 3:16:30  iter: 2739  total_loss: 0.4897  loss_cls: 0.0766  loss_box_reg: 0.08462  loss_mask: 0.2372  loss_rpn_cls: 0.01281  loss_rpn_loc: 0.0428  time: 0.3122  data_time: 0.1146  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:38:32 d2.utils.events]: \u001b[0m eta: 3:16:19  iter: 2759  total_loss: 0.4895  loss_cls: 0.08809  loss_box_reg: 0.07665  loss_mask: 0.229  loss_rpn_cls: 0.0119  loss_rpn_loc: 0.04048  time: 0.3122  data_time: 0.1144  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:38:38 d2.utils.events]: \u001b[0m eta: 3:16:11  iter: 2779  total_loss: 0.4871  loss_cls: 0.08216  loss_box_reg: 0.07953  loss_mask: 0.2667  loss_rpn_cls: 0.01924  loss_rpn_loc: 0.03602  time: 0.3122  data_time: 0.1143  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:38:44 d2.utils.events]: \u001b[0m eta: 3:16:05  iter: 2799  total_loss: 0.4708  loss_cls: 0.06125  loss_box_reg: 0.05984  loss_mask: 0.2856  loss_rpn_cls: 0.00795  loss_rpn_loc: 0.03796  time: 0.3122  data_time: 0.1157  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:38:51 d2.utils.events]: \u001b[0m eta: 3:16:00  iter: 2819  total_loss: 0.5218  loss_cls: 0.09574  loss_box_reg: 0.09525  loss_mask: 0.253  loss_rpn_cls: 0.01415  loss_rpn_loc: 0.05079  time: 0.3123  data_time: 0.1154  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:38:57 d2.utils.events]: \u001b[0m eta: 3:15:52  iter: 2839  total_loss: 0.4905  loss_cls: 0.06566  loss_box_reg: 0.06648  loss_mask: 0.2472  loss_rpn_cls: 0.009263  loss_rpn_loc: 0.04328  time: 0.3122  data_time: 0.1156  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:39:03 d2.utils.events]: \u001b[0m eta: 3:15:48  iter: 2859  total_loss: 0.4358  loss_cls: 0.06396  loss_box_reg: 0.07024  loss_mask: 0.2267  loss_rpn_cls: 0.008806  loss_rpn_loc: 0.03845  time: 0.3123  data_time: 0.1146  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:39:10 d2.utils.events]: \u001b[0m eta: 3:15:46  iter: 2879  total_loss: 0.465  loss_cls: 0.09569  loss_box_reg: 0.0792  loss_mask: 0.2616  loss_rpn_cls: 0.01224  loss_rpn_loc: 0.04034  time: 0.3123  data_time: 0.1136  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:39:16 d2.utils.events]: \u001b[0m eta: 3:15:40  iter: 2899  total_loss: 0.4485  loss_cls: 0.08177  loss_box_reg: 0.07692  loss_mask: 0.2408  loss_rpn_cls: 0.01234  loss_rpn_loc: 0.0296  time: 0.3124  data_time: 0.1152  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:39:23 d2.utils.events]: \u001b[0m eta: 3:15:53  iter: 2919  total_loss: 0.4562  loss_cls: 0.07968  loss_box_reg: 0.07681  loss_mask: 0.2388  loss_rpn_cls: 0.01552  loss_rpn_loc: 0.0404  time: 0.3124  data_time: 0.1139  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:39:29 d2.utils.events]: \u001b[0m eta: 3:15:52  iter: 2939  total_loss: 0.4943  loss_cls: 0.05983  loss_box_reg: 0.0827  loss_mask: 0.2386  loss_rpn_cls: 0.01111  loss_rpn_loc: 0.03333  time: 0.3125  data_time: 0.1139  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:39:35 d2.utils.events]: \u001b[0m eta: 3:15:48  iter: 2959  total_loss: 0.447  loss_cls: 0.07947  loss_box_reg: 0.09073  loss_mask: 0.2265  loss_rpn_cls: 0.009235  loss_rpn_loc: 0.02417  time: 0.3125  data_time: 0.1137  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:39:41 d2.utils.events]: \u001b[0m eta: 3:15:42  iter: 2979  total_loss: 0.4898  loss_cls: 0.0623  loss_box_reg: 0.08035  loss_mask: 0.2438  loss_rpn_cls: 0.01311  loss_rpn_loc: 0.03663  time: 0.3125  data_time: 0.1143  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:39:48 d2.utils.events]: \u001b[0m eta: 3:15:39  iter: 2999  total_loss: 0.4917  loss_cls: 0.07562  loss_box_reg: 0.08022  loss_mask: 0.2564  loss_rpn_cls: 0.01292  loss_rpn_loc: 0.03244  time: 0.3125  data_time: 0.1131  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:39:54 d2.utils.events]: \u001b[0m eta: 3:15:29  iter: 3019  total_loss: 0.4765  loss_cls: 0.05568  loss_box_reg: 0.06521  loss_mask: 0.2712  loss_rpn_cls: 0.01748  loss_rpn_loc: 0.03955  time: 0.3125  data_time: 0.1142  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:40:00 d2.utils.events]: \u001b[0m eta: 3:15:22  iter: 3039  total_loss: 0.4388  loss_cls: 0.06787  loss_box_reg: 0.06576  loss_mask: 0.27  loss_rpn_cls: 0.01387  loss_rpn_loc: 0.04473  time: 0.3125  data_time: 0.1131  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:40:07 d2.utils.events]: \u001b[0m eta: 3:15:20  iter: 3059  total_loss: 0.4922  loss_cls: 0.09383  loss_box_reg: 0.07798  loss_mask: 0.2431  loss_rpn_cls: 0.0135  loss_rpn_loc: 0.02472  time: 0.3125  data_time: 0.1142  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:40:13 d2.utils.events]: \u001b[0m eta: 3:15:36  iter: 3079  total_loss: 0.4804  loss_cls: 0.06138  loss_box_reg: 0.08175  loss_mask: 0.2724  loss_rpn_cls: 0.009932  loss_rpn_loc: 0.04024  time: 0.3126  data_time: 0.1145  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:40:19 d2.utils.events]: \u001b[0m eta: 3:15:24  iter: 3099  total_loss: 0.4396  loss_cls: 0.06378  loss_box_reg: 0.06665  loss_mask: 0.2388  loss_rpn_cls: 0.01005  loss_rpn_loc: 0.03741  time: 0.3126  data_time: 0.1137  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:40:26 d2.utils.events]: \u001b[0m eta: 3:15:02  iter: 3119  total_loss: 0.5025  loss_cls: 0.09897  loss_box_reg: 0.09359  loss_mask: 0.2521  loss_rpn_cls: 0.01246  loss_rpn_loc: 0.03803  time: 0.3126  data_time: 0.1135  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:40:32 d2.utils.events]: \u001b[0m eta: 3:14:53  iter: 3139  total_loss: 0.482  loss_cls: 0.06455  loss_box_reg: 0.07594  loss_mask: 0.2472  loss_rpn_cls: 0.01167  loss_rpn_loc: 0.04223  time: 0.3126  data_time: 0.1156  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:40:38 d2.utils.events]: \u001b[0m eta: 3:14:51  iter: 3159  total_loss: 0.4221  loss_cls: 0.06031  loss_box_reg: 0.07315  loss_mask: 0.2465  loss_rpn_cls: 0.007035  loss_rpn_loc: 0.0261  time: 0.3127  data_time: 0.1149  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:40:45 d2.utils.events]: \u001b[0m eta: 3:14:43  iter: 3179  total_loss: 0.4218  loss_cls: 0.06693  loss_box_reg: 0.07547  loss_mask: 0.2488  loss_rpn_cls: 0.01012  loss_rpn_loc: 0.02437  time: 0.3127  data_time: 0.1150  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:40:51 d2.utils.events]: \u001b[0m eta: 3:14:30  iter: 3199  total_loss: 0.5055  loss_cls: 0.08182  loss_box_reg: 0.07368  loss_mask: 0.27  loss_rpn_cls: 0.01376  loss_rpn_loc: 0.04639  time: 0.3127  data_time: 0.1138  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:40:57 d2.utils.events]: \u001b[0m eta: 3:14:17  iter: 3219  total_loss: 0.5057  loss_cls: 0.07057  loss_box_reg: 0.07576  loss_mask: 0.2751  loss_rpn_cls: 0.01214  loss_rpn_loc: 0.03834  time: 0.3126  data_time: 0.1145  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:41:04 d2.utils.events]: \u001b[0m eta: 3:14:12  iter: 3239  total_loss: 0.4889  loss_cls: 0.06639  loss_box_reg: 0.07755  loss_mask: 0.2777  loss_rpn_cls: 0.01593  loss_rpn_loc: 0.04216  time: 0.3128  data_time: 0.1155  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:41:10 d2.utils.events]: \u001b[0m eta: 3:14:11  iter: 3259  total_loss: 0.5573  loss_cls: 0.08465  loss_box_reg: 0.1005  loss_mask: 0.2795  loss_rpn_cls: 0.01305  loss_rpn_loc: 0.05029  time: 0.3128  data_time: 0.1175  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:41:17 d2.utils.events]: \u001b[0m eta: 3:14:10  iter: 3279  total_loss: 0.4945  loss_cls: 0.06851  loss_box_reg: 0.08643  loss_mask: 0.2613  loss_rpn_cls: 0.01355  loss_rpn_loc: 0.05065  time: 0.3129  data_time: 0.1142  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:41:23 d2.utils.events]: \u001b[0m eta: 3:14:19  iter: 3299  total_loss: 0.433  loss_cls: 0.07392  loss_box_reg: 0.08438  loss_mask: 0.2286  loss_rpn_cls: 0.01072  loss_rpn_loc: 0.0402  time: 0.3130  data_time: 0.1152  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:41:30 d2.utils.events]: \u001b[0m eta: 3:14:27  iter: 3319  total_loss: 0.503  loss_cls: 0.07792  loss_box_reg: 0.07318  loss_mask: 0.258  loss_rpn_cls: 0.01146  loss_rpn_loc: 0.03998  time: 0.3130  data_time: 0.1160  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:41:36 d2.utils.events]: \u001b[0m eta: 3:14:20  iter: 3339  total_loss: 0.4694  loss_cls: 0.06791  loss_box_reg: 0.0706  loss_mask: 0.251  loss_rpn_cls: 0.009623  loss_rpn_loc: 0.04297  time: 0.3130  data_time: 0.1147  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:41:42 d2.utils.events]: \u001b[0m eta: 3:14:11  iter: 3359  total_loss: 0.4879  loss_cls: 0.07688  loss_box_reg: 0.07876  loss_mask: 0.2596  loss_rpn_cls: 0.01324  loss_rpn_loc: 0.04186  time: 0.3130  data_time: 0.1149  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:41:49 d2.utils.events]: \u001b[0m eta: 3:14:12  iter: 3379  total_loss: 0.4635  loss_cls: 0.07079  loss_box_reg: 0.06863  loss_mask: 0.2563  loss_rpn_cls: 0.01059  loss_rpn_loc: 0.0485  time: 0.3131  data_time: 0.1141  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:41:55 d2.utils.events]: \u001b[0m eta: 3:14:09  iter: 3399  total_loss: 0.475  loss_cls: 0.06369  loss_box_reg: 0.07782  loss_mask: 0.2275  loss_rpn_cls: 0.007817  loss_rpn_loc: 0.0387  time: 0.3131  data_time: 0.1160  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:42:02 d2.utils.events]: \u001b[0m eta: 3:14:14  iter: 3419  total_loss: 0.5101  loss_cls: 0.08076  loss_box_reg: 0.09657  loss_mask: 0.2438  loss_rpn_cls: 0.01225  loss_rpn_loc: 0.04884  time: 0.3131  data_time: 0.1150  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:42:08 d2.utils.events]: \u001b[0m eta: 3:14:12  iter: 3439  total_loss: 0.4921  loss_cls: 0.06292  loss_box_reg: 0.07127  loss_mask: 0.3152  loss_rpn_cls: 0.01257  loss_rpn_loc: 0.04451  time: 0.3131  data_time: 0.1154  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:42:14 d2.utils.events]: \u001b[0m eta: 3:14:07  iter: 3459  total_loss: 0.4232  loss_cls: 0.07345  loss_box_reg: 0.06018  loss_mask: 0.2395  loss_rpn_cls: 0.0189  loss_rpn_loc: 0.03408  time: 0.3131  data_time: 0.1149  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:42:20 d2.utils.events]: \u001b[0m eta: 3:14:08  iter: 3479  total_loss: 0.484  loss_cls: 0.0712  loss_box_reg: 0.06622  loss_mask: 0.2768  loss_rpn_cls: 0.01283  loss_rpn_loc: 0.05777  time: 0.3132  data_time: 0.1172  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:42:27 d2.utils.events]: \u001b[0m eta: 3:13:57  iter: 3499  total_loss: 0.4701  loss_cls: 0.06128  loss_box_reg: 0.06086  loss_mask: 0.2678  loss_rpn_cls: 0.0139  loss_rpn_loc: 0.03658  time: 0.3132  data_time: 0.1157  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:42:33 d2.utils.events]: \u001b[0m eta: 3:13:57  iter: 3519  total_loss: 0.469  loss_cls: 0.07647  loss_box_reg: 0.09484  loss_mask: 0.2326  loss_rpn_cls: 0.01525  loss_rpn_loc: 0.03041  time: 0.3132  data_time: 0.1156  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:42:40 d2.utils.events]: \u001b[0m eta: 3:13:48  iter: 3539  total_loss: 0.4926  loss_cls: 0.06028  loss_box_reg: 0.07675  loss_mask: 0.2232  loss_rpn_cls: 0.01076  loss_rpn_loc: 0.04268  time: 0.3133  data_time: 0.1167  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:42:46 d2.utils.events]: \u001b[0m eta: 3:13:34  iter: 3559  total_loss: 0.3826  loss_cls: 0.06754  loss_box_reg: 0.07281  loss_mask: 0.1911  loss_rpn_cls: 0.007799  loss_rpn_loc: 0.03173  time: 0.3133  data_time: 0.1163  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:42:53 d2.utils.events]: \u001b[0m eta: 3:13:29  iter: 3579  total_loss: 0.4269  loss_cls: 0.06482  loss_box_reg: 0.06866  loss_mask: 0.2319  loss_rpn_cls: 0.007337  loss_rpn_loc: 0.02417  time: 0.3134  data_time: 0.1154  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:42:59 d2.utils.events]: \u001b[0m eta: 3:13:22  iter: 3599  total_loss: 0.4096  loss_cls: 0.06494  loss_box_reg: 0.08053  loss_mask: 0.2412  loss_rpn_cls: 0.006932  loss_rpn_loc: 0.02404  time: 0.3134  data_time: 0.1148  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:43:05 d2.utils.events]: \u001b[0m eta: 3:13:16  iter: 3619  total_loss: 0.3981  loss_cls: 0.06854  loss_box_reg: 0.06014  loss_mask: 0.228  loss_rpn_cls: 0.009705  loss_rpn_loc: 0.02985  time: 0.3134  data_time: 0.1154  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:43:12 d2.utils.events]: \u001b[0m eta: 3:13:00  iter: 3639  total_loss: 0.5266  loss_cls: 0.08706  loss_box_reg: 0.08946  loss_mask: 0.2539  loss_rpn_cls: 0.01206  loss_rpn_loc: 0.04843  time: 0.3134  data_time: 0.1166  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:43:18 d2.utils.events]: \u001b[0m eta: 3:12:46  iter: 3659  total_loss: 0.447  loss_cls: 0.06909  loss_box_reg: 0.05833  loss_mask: 0.2543  loss_rpn_cls: 0.009413  loss_rpn_loc: 0.04058  time: 0.3134  data_time: 0.1161  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:43:24 d2.utils.events]: \u001b[0m eta: 3:12:37  iter: 3679  total_loss: 0.4355  loss_cls: 0.06688  loss_box_reg: 0.07765  loss_mask: 0.2171  loss_rpn_cls: 0.01118  loss_rpn_loc: 0.03231  time: 0.3134  data_time: 0.1143  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:43:31 d2.utils.events]: \u001b[0m eta: 3:12:33  iter: 3699  total_loss: 0.4494  loss_cls: 0.05783  loss_box_reg: 0.07109  loss_mask: 0.2223  loss_rpn_cls: 0.009302  loss_rpn_loc: 0.03867  time: 0.3135  data_time: 0.1155  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:43:37 d2.utils.events]: \u001b[0m eta: 3:12:27  iter: 3719  total_loss: 0.4282  loss_cls: 0.06581  loss_box_reg: 0.07322  loss_mask: 0.2315  loss_rpn_cls: 0.00793  loss_rpn_loc: 0.03117  time: 0.3135  data_time: 0.1157  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:43:43 d2.utils.events]: \u001b[0m eta: 3:12:28  iter: 3739  total_loss: 0.4575  loss_cls: 0.06417  loss_box_reg: 0.07694  loss_mask: 0.2498  loss_rpn_cls: 0.00804  loss_rpn_loc: 0.02884  time: 0.3135  data_time: 0.1156  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:43:50 d2.utils.events]: \u001b[0m eta: 3:12:26  iter: 3759  total_loss: 0.4112  loss_cls: 0.06062  loss_box_reg: 0.07825  loss_mask: 0.219  loss_rpn_cls: 0.01037  loss_rpn_loc: 0.02905  time: 0.3135  data_time: 0.1151  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:43:56 d2.utils.events]: \u001b[0m eta: 3:12:36  iter: 3779  total_loss: 0.4596  loss_cls: 0.06072  loss_box_reg: 0.07313  loss_mask: 0.2455  loss_rpn_cls: 0.01052  loss_rpn_loc: 0.03587  time: 0.3136  data_time: 0.1163  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:44:03 d2.utils.events]: \u001b[0m eta: 3:12:32  iter: 3799  total_loss: 0.4094  loss_cls: 0.06617  loss_box_reg: 0.06634  loss_mask: 0.2201  loss_rpn_cls: 0.01211  loss_rpn_loc: 0.03014  time: 0.3136  data_time: 0.1154  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:44:09 d2.utils.events]: \u001b[0m eta: 3:12:26  iter: 3819  total_loss: 0.4768  loss_cls: 0.06348  loss_box_reg: 0.07119  loss_mask: 0.2391  loss_rpn_cls: 0.009289  loss_rpn_loc: 0.04169  time: 0.3136  data_time: 0.1158  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:44:15 d2.utils.events]: \u001b[0m eta: 3:12:30  iter: 3839  total_loss: 0.4697  loss_cls: 0.06923  loss_box_reg: 0.08188  loss_mask: 0.2629  loss_rpn_cls: 0.01131  loss_rpn_loc: 0.03462  time: 0.3137  data_time: 0.1145  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:44:22 d2.utils.events]: \u001b[0m eta: 3:12:24  iter: 3859  total_loss: 0.5217  loss_cls: 0.07218  loss_box_reg: 0.08006  loss_mask: 0.2584  loss_rpn_cls: 0.009432  loss_rpn_loc: 0.05484  time: 0.3138  data_time: 0.1150  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:44:29 d2.utils.events]: \u001b[0m eta: 3:12:30  iter: 3879  total_loss: 0.4509  loss_cls: 0.0645  loss_box_reg: 0.07819  loss_mask: 0.2221  loss_rpn_cls: 0.01161  loss_rpn_loc: 0.03478  time: 0.3138  data_time: 0.1152  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:44:35 d2.utils.events]: \u001b[0m eta: 3:12:15  iter: 3899  total_loss: 0.4414  loss_cls: 0.06343  loss_box_reg: 0.07566  loss_mask: 0.2514  loss_rpn_cls: 0.01268  loss_rpn_loc: 0.03495  time: 0.3138  data_time: 0.1148  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:44:41 d2.utils.events]: \u001b[0m eta: 3:12:13  iter: 3919  total_loss: 0.4559  loss_cls: 0.07397  loss_box_reg: 0.07321  loss_mask: 0.2465  loss_rpn_cls: 0.01019  loss_rpn_loc: 0.04462  time: 0.3139  data_time: 0.1174  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:44:48 d2.utils.events]: \u001b[0m eta: 3:11:58  iter: 3939  total_loss: 0.4582  loss_cls: 0.06794  loss_box_reg: 0.06441  loss_mask: 0.2569  loss_rpn_cls: 0.004795  loss_rpn_loc: 0.03888  time: 0.3139  data_time: 0.1162  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:44:54 d2.utils.events]: \u001b[0m eta: 3:11:53  iter: 3959  total_loss: 0.3652  loss_cls: 0.04193  loss_box_reg: 0.06134  loss_mask: 0.2198  loss_rpn_cls: 0.008127  loss_rpn_loc: 0.01956  time: 0.3139  data_time: 0.1162  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:45:00 d2.utils.events]: \u001b[0m eta: 3:11:50  iter: 3979  total_loss: 0.4164  loss_cls: 0.06405  loss_box_reg: 0.07266  loss_mask: 0.242  loss_rpn_cls: 0.01339  loss_rpn_loc: 0.04094  time: 0.3139  data_time: 0.1164  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:45:07 d2.utils.events]: \u001b[0m eta: 3:11:47  iter: 3999  total_loss: 0.4334  loss_cls: 0.0862  loss_box_reg: 0.08148  loss_mask: 0.24  loss_rpn_cls: 0.01159  loss_rpn_loc: 0.04105  time: 0.3139  data_time: 0.1158  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:45:13 d2.utils.events]: \u001b[0m eta: 3:11:44  iter: 4019  total_loss: 0.3887  loss_cls: 0.06442  loss_box_reg: 0.05451  loss_mask: 0.2023  loss_rpn_cls: 0.008675  loss_rpn_loc: 0.03214  time: 0.3139  data_time: 0.1154  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:45:19 d2.utils.events]: \u001b[0m eta: 3:11:41  iter: 4039  total_loss: 0.48  loss_cls: 0.07089  loss_box_reg: 0.07237  loss_mask: 0.2368  loss_rpn_cls: 0.007408  loss_rpn_loc: 0.05316  time: 0.3140  data_time: 0.1154  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:45:26 d2.utils.events]: \u001b[0m eta: 3:11:34  iter: 4059  total_loss: 0.4513  loss_cls: 0.0786  loss_box_reg: 0.08151  loss_mask: 0.2398  loss_rpn_cls: 0.00813  loss_rpn_loc: 0.03896  time: 0.3140  data_time: 0.1165  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:45:32 d2.utils.events]: \u001b[0m eta: 3:11:18  iter: 4079  total_loss: 0.4177  loss_cls: 0.04504  loss_box_reg: 0.06507  loss_mask: 0.2317  loss_rpn_cls: 0.01007  loss_rpn_loc: 0.0301  time: 0.3140  data_time: 0.1151  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:45:38 d2.utils.events]: \u001b[0m eta: 3:11:18  iter: 4099  total_loss: 0.4308  loss_cls: 0.06717  loss_box_reg: 0.06742  loss_mask: 0.2343  loss_rpn_cls: 0.01292  loss_rpn_loc: 0.04818  time: 0.3140  data_time: 0.1162  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:45:45 d2.utils.events]: \u001b[0m eta: 3:11:19  iter: 4119  total_loss: 0.4116  loss_cls: 0.04392  loss_box_reg: 0.06676  loss_mask: 0.2401  loss_rpn_cls: 0.01068  loss_rpn_loc: 0.0294  time: 0.3140  data_time: 0.1147  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:45:51 d2.utils.events]: \u001b[0m eta: 3:11:23  iter: 4139  total_loss: 0.4375  loss_cls: 0.07151  loss_box_reg: 0.0841  loss_mask: 0.2297  loss_rpn_cls: 0.01122  loss_rpn_loc: 0.03065  time: 0.3141  data_time: 0.1149  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:45:58 d2.utils.events]: \u001b[0m eta: 3:11:14  iter: 4159  total_loss: 0.4541  loss_cls: 0.06798  loss_box_reg: 0.06964  loss_mask: 0.2432  loss_rpn_cls: 0.01072  loss_rpn_loc: 0.0345  time: 0.3141  data_time: 0.1157  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:46:04 d2.utils.events]: \u001b[0m eta: 3:11:11  iter: 4179  total_loss: 0.421  loss_cls: 0.04917  loss_box_reg: 0.05579  loss_mask: 0.2344  loss_rpn_cls: 0.01508  loss_rpn_loc: 0.04491  time: 0.3141  data_time: 0.1143  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:46:11 d2.utils.events]: \u001b[0m eta: 3:11:12  iter: 4199  total_loss: 0.4379  loss_cls: 0.07729  loss_box_reg: 0.07318  loss_mask: 0.2247  loss_rpn_cls: 0.01292  loss_rpn_loc: 0.03041  time: 0.3142  data_time: 0.1157  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:46:17 d2.utils.events]: \u001b[0m eta: 3:11:14  iter: 4219  total_loss: 0.3969  loss_cls: 0.05493  loss_box_reg: 0.06552  loss_mask: 0.2311  loss_rpn_cls: 0.004968  loss_rpn_loc: 0.02204  time: 0.3142  data_time: 0.1163  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:46:24 d2.utils.events]: \u001b[0m eta: 3:11:03  iter: 4239  total_loss: 0.4417  loss_cls: 0.07299  loss_box_reg: 0.07717  loss_mask: 0.2225  loss_rpn_cls: 0.009732  loss_rpn_loc: 0.04294  time: 0.3142  data_time: 0.1158  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:46:30 d2.utils.events]: \u001b[0m eta: 3:10:55  iter: 4259  total_loss: 0.4258  loss_cls: 0.07454  loss_box_reg: 0.08712  loss_mask: 0.229  loss_rpn_cls: 0.008726  loss_rpn_loc: 0.02056  time: 0.3142  data_time: 0.1147  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:46:36 d2.utils.events]: \u001b[0m eta: 3:10:44  iter: 4279  total_loss: 0.4572  loss_cls: 0.05184  loss_box_reg: 0.067  loss_mask: 0.2332  loss_rpn_cls: 0.005645  loss_rpn_loc: 0.03798  time: 0.3142  data_time: 0.1166  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:46:43 d2.utils.events]: \u001b[0m eta: 3:10:36  iter: 4299  total_loss: 0.4305  loss_cls: 0.06412  loss_box_reg: 0.07781  loss_mask: 0.2266  loss_rpn_cls: 0.008219  loss_rpn_loc: 0.03983  time: 0.3143  data_time: 0.1156  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:46:49 d2.utils.events]: \u001b[0m eta: 3:10:27  iter: 4319  total_loss: 0.4935  loss_cls: 0.06614  loss_box_reg: 0.1109  loss_mask: 0.2575  loss_rpn_cls: 0.009709  loss_rpn_loc: 0.04188  time: 0.3143  data_time: 0.1161  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:46:56 d2.utils.events]: \u001b[0m eta: 3:10:27  iter: 4339  total_loss: 0.4796  loss_cls: 0.07623  loss_box_reg: 0.08462  loss_mask: 0.2518  loss_rpn_cls: 0.01092  loss_rpn_loc: 0.04535  time: 0.3144  data_time: 0.1155  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:47:02 d2.utils.events]: \u001b[0m eta: 3:10:25  iter: 4359  total_loss: 0.4106  loss_cls: 0.05738  loss_box_reg: 0.06454  loss_mask: 0.2435  loss_rpn_cls: 0.008749  loss_rpn_loc: 0.0258  time: 0.3144  data_time: 0.1154  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:47:08 d2.utils.events]: \u001b[0m eta: 3:10:20  iter: 4379  total_loss: 0.4323  loss_cls: 0.05786  loss_box_reg: 0.06218  loss_mask: 0.2606  loss_rpn_cls: 0.005642  loss_rpn_loc: 0.03259  time: 0.3144  data_time: 0.1161  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:47:15 d2.utils.events]: \u001b[0m eta: 3:10:07  iter: 4399  total_loss: 0.445  loss_cls: 0.05339  loss_box_reg: 0.07015  loss_mask: 0.2462  loss_rpn_cls: 0.005755  loss_rpn_loc: 0.04911  time: 0.3145  data_time: 0.1150  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:47:21 d2.utils.events]: \u001b[0m eta: 3:10:00  iter: 4419  total_loss: 0.4194  loss_cls: 0.04861  loss_box_reg: 0.05969  loss_mask: 0.2263  loss_rpn_cls: 0.007282  loss_rpn_loc: 0.02375  time: 0.3144  data_time: 0.1158  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:47:28 d2.utils.events]: \u001b[0m eta: 3:10:04  iter: 4439  total_loss: 0.4178  loss_cls: 0.05234  loss_box_reg: 0.06282  loss_mask: 0.2241  loss_rpn_cls: 0.007682  loss_rpn_loc: 0.03323  time: 0.3145  data_time: 0.1160  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:47:34 d2.utils.events]: \u001b[0m eta: 3:09:59  iter: 4459  total_loss: 0.4314  loss_cls: 0.06541  loss_box_reg: 0.06722  loss_mask: 0.2252  loss_rpn_cls: 0.007919  loss_rpn_loc: 0.02678  time: 0.3145  data_time: 0.1152  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:47:40 d2.utils.events]: \u001b[0m eta: 3:09:49  iter: 4479  total_loss: 0.3473  loss_cls: 0.05626  loss_box_reg: 0.05822  loss_mask: 0.2054  loss_rpn_cls: 0.009178  loss_rpn_loc: 0.02956  time: 0.3145  data_time: 0.1154  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:47:46 d2.utils.events]: \u001b[0m eta: 3:09:43  iter: 4499  total_loss: 0.4294  loss_cls: 0.05159  loss_box_reg: 0.07339  loss_mask: 0.2496  loss_rpn_cls: 0.007267  loss_rpn_loc: 0.04086  time: 0.3145  data_time: 0.1177  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:47:53 d2.utils.events]: \u001b[0m eta: 3:09:35  iter: 4519  total_loss: 0.4379  loss_cls: 0.05069  loss_box_reg: 0.0739  loss_mask: 0.228  loss_rpn_cls: 0.008839  loss_rpn_loc: 0.03982  time: 0.3145  data_time: 0.1164  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:47:59 d2.utils.events]: \u001b[0m eta: 3:09:31  iter: 4539  total_loss: 0.4014  loss_cls: 0.05909  loss_box_reg: 0.06756  loss_mask: 0.2302  loss_rpn_cls: 0.008768  loss_rpn_loc: 0.03815  time: 0.3145  data_time: 0.1150  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:48:06 d2.utils.events]: \u001b[0m eta: 3:09:28  iter: 4559  total_loss: 0.4403  loss_cls: 0.06045  loss_box_reg: 0.08012  loss_mask: 0.2397  loss_rpn_cls: 0.009437  loss_rpn_loc: 0.03733  time: 0.3145  data_time: 0.1143  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:48:12 d2.utils.events]: \u001b[0m eta: 3:09:17  iter: 4579  total_loss: 0.3959  loss_cls: 0.04501  loss_box_reg: 0.05936  loss_mask: 0.243  loss_rpn_cls: 0.01184  loss_rpn_loc: 0.0294  time: 0.3145  data_time: 0.1157  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:48:18 d2.utils.events]: \u001b[0m eta: 3:09:04  iter: 4599  total_loss: 0.4445  loss_cls: 0.05727  loss_box_reg: 0.07464  loss_mask: 0.2364  loss_rpn_cls: 0.005324  loss_rpn_loc: 0.04533  time: 0.3146  data_time: 0.1170  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:48:25 d2.utils.events]: \u001b[0m eta: 3:09:06  iter: 4619  total_loss: 0.4453  loss_cls: 0.07387  loss_box_reg: 0.07844  loss_mask: 0.2226  loss_rpn_cls: 0.007975  loss_rpn_loc: 0.03501  time: 0.3146  data_time: 0.1154  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:48:31 d2.utils.events]: \u001b[0m eta: 3:09:00  iter: 4639  total_loss: 0.4855  loss_cls: 0.06325  loss_box_reg: 0.07625  loss_mask: 0.2435  loss_rpn_cls: 0.01131  loss_rpn_loc: 0.04587  time: 0.3146  data_time: 0.1172  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:48:38 d2.utils.events]: \u001b[0m eta: 3:08:53  iter: 4659  total_loss: 0.5273  loss_cls: 0.06421  loss_box_reg: 0.08332  loss_mask: 0.281  loss_rpn_cls: 0.0116  loss_rpn_loc: 0.04566  time: 0.3146  data_time: 0.1161  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:48:44 d2.utils.events]: \u001b[0m eta: 3:08:51  iter: 4679  total_loss: 0.4865  loss_cls: 0.05078  loss_box_reg: 0.07759  loss_mask: 0.2621  loss_rpn_cls: 0.008657  loss_rpn_loc: 0.03924  time: 0.3146  data_time: 0.1153  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:48:51 d2.utils.events]: \u001b[0m eta: 3:08:45  iter: 4699  total_loss: 0.4184  loss_cls: 0.06135  loss_box_reg: 0.08336  loss_mask: 0.2558  loss_rpn_cls: 0.009042  loss_rpn_loc: 0.03317  time: 0.3147  data_time: 0.1168  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:48:57 d2.utils.events]: \u001b[0m eta: 3:08:41  iter: 4719  total_loss: 0.4024  loss_cls: 0.05521  loss_box_reg: 0.06888  loss_mask: 0.2306  loss_rpn_cls: 0.006663  loss_rpn_loc: 0.03289  time: 0.3147  data_time: 0.1162  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:49:03 d2.utils.events]: \u001b[0m eta: 3:08:32  iter: 4739  total_loss: 0.4656  loss_cls: 0.0596  loss_box_reg: 0.07736  loss_mask: 0.2616  loss_rpn_cls: 0.008697  loss_rpn_loc: 0.03973  time: 0.3147  data_time: 0.1165  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:49:10 d2.utils.events]: \u001b[0m eta: 3:08:25  iter: 4759  total_loss: 0.3592  loss_cls: 0.04098  loss_box_reg: 0.05267  loss_mask: 0.2098  loss_rpn_cls: 0.008774  loss_rpn_loc: 0.02254  time: 0.3147  data_time: 0.1159  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:49:16 d2.utils.events]: \u001b[0m eta: 3:08:19  iter: 4779  total_loss: 0.474  loss_cls: 0.06771  loss_box_reg: 0.08275  loss_mask: 0.2676  loss_rpn_cls: 0.008045  loss_rpn_loc: 0.04921  time: 0.3148  data_time: 0.1156  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:49:23 d2.utils.events]: \u001b[0m eta: 3:08:08  iter: 4799  total_loss: 0.3603  loss_cls: 0.05149  loss_box_reg: 0.06509  loss_mask: 0.2025  loss_rpn_cls: 0.008798  loss_rpn_loc: 0.0319  time: 0.3148  data_time: 0.1156  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:49:29 d2.utils.events]: \u001b[0m eta: 3:08:11  iter: 4819  total_loss: 0.3786  loss_cls: 0.04631  loss_box_reg: 0.06315  loss_mask: 0.2132  loss_rpn_cls: 0.004507  loss_rpn_loc: 0.02469  time: 0.3149  data_time: 0.1158  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:49:35 d2.utils.events]: \u001b[0m eta: 3:07:47  iter: 4839  total_loss: 0.4323  loss_cls: 0.04515  loss_box_reg: 0.06481  loss_mask: 0.2406  loss_rpn_cls: 0.007302  loss_rpn_loc: 0.02649  time: 0.3149  data_time: 0.1153  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:49:42 d2.utils.events]: \u001b[0m eta: 3:07:35  iter: 4859  total_loss: 0.3884  loss_cls: 0.05492  loss_box_reg: 0.06994  loss_mask: 0.2121  loss_rpn_cls: 0.007147  loss_rpn_loc: 0.03859  time: 0.3149  data_time: 0.1158  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:49:48 d2.utils.events]: \u001b[0m eta: 3:07:26  iter: 4879  total_loss: 0.4072  loss_cls: 0.04956  loss_box_reg: 0.0675  loss_mask: 0.2356  loss_rpn_cls: 0.009228  loss_rpn_loc: 0.02631  time: 0.3149  data_time: 0.1147  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:49:54 d2.utils.events]: \u001b[0m eta: 3:07:22  iter: 4899  total_loss: 0.4158  loss_cls: 0.06224  loss_box_reg: 0.073  loss_mask: 0.2205  loss_rpn_cls: 0.0114  loss_rpn_loc: 0.03684  time: 0.3149  data_time: 0.1152  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:50:01 d2.utils.events]: \u001b[0m eta: 3:07:19  iter: 4919  total_loss: 0.4385  loss_cls: 0.07021  loss_box_reg: 0.0767  loss_mask: 0.2358  loss_rpn_cls: 0.009311  loss_rpn_loc: 0.03277  time: 0.3149  data_time: 0.1142  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:50:07 d2.utils.events]: \u001b[0m eta: 3:07:26  iter: 4939  total_loss: 0.3947  loss_cls: 0.05537  loss_box_reg: 0.08339  loss_mask: 0.2457  loss_rpn_cls: 0.01009  loss_rpn_loc: 0.03647  time: 0.3150  data_time: 0.1146  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:50:14 d2.utils.events]: \u001b[0m eta: 3:07:31  iter: 4959  total_loss: 0.4508  loss_cls: 0.05326  loss_box_reg: 0.06798  loss_mask: 0.2579  loss_rpn_cls: 0.01251  loss_rpn_loc: 0.04217  time: 0.3151  data_time: 0.1144  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:50:21 d2.utils.events]: \u001b[0m eta: 3:07:38  iter: 4979  total_loss: 0.4643  loss_cls: 0.05779  loss_box_reg: 0.07575  loss_mask: 0.241  loss_rpn_cls: 0.008418  loss_rpn_loc: 0.04838  time: 0.3152  data_time: 0.1160  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:50:28 d2.utils.events]: \u001b[0m eta: 3:07:24  iter: 4999  total_loss: 0.4352  loss_cls: 0.054  loss_box_reg: 0.08255  loss_mask: 0.2733  loss_rpn_cls: 0.008101  loss_rpn_loc: 0.04556  time: 0.3152  data_time: 0.1146  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:50:34 d2.utils.events]: \u001b[0m eta: 3:07:22  iter: 5019  total_loss: 0.4518  loss_cls: 0.05174  loss_box_reg: 0.07705  loss_mask: 0.2303  loss_rpn_cls: 0.005915  loss_rpn_loc: 0.04371  time: 0.3152  data_time: 0.1164  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:50:41 d2.utils.events]: \u001b[0m eta: 3:07:12  iter: 5039  total_loss: 0.4307  loss_cls: 0.05003  loss_box_reg: 0.07333  loss_mask: 0.2317  loss_rpn_cls: 0.006229  loss_rpn_loc: 0.03783  time: 0.3152  data_time: 0.1162  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:50:47 d2.utils.events]: \u001b[0m eta: 3:07:04  iter: 5059  total_loss: 0.3834  loss_cls: 0.05515  loss_box_reg: 0.07161  loss_mask: 0.2353  loss_rpn_cls: 0.009225  loss_rpn_loc: 0.02626  time: 0.3152  data_time: 0.1149  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:50:54 d2.utils.events]: \u001b[0m eta: 3:07:11  iter: 5079  total_loss: 0.4247  loss_cls: 0.05478  loss_box_reg: 0.05954  loss_mask: 0.2339  loss_rpn_cls: 0.009592  loss_rpn_loc: 0.04912  time: 0.3153  data_time: 0.1149  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:51:00 d2.utils.events]: \u001b[0m eta: 3:07:08  iter: 5099  total_loss: 0.4642  loss_cls: 0.06919  loss_box_reg: 0.08148  loss_mask: 0.2434  loss_rpn_cls: 0.01043  loss_rpn_loc: 0.03876  time: 0.3153  data_time: 0.1143  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:51:07 d2.utils.events]: \u001b[0m eta: 3:07:04  iter: 5119  total_loss: 0.3542  loss_cls: 0.04292  loss_box_reg: 0.06341  loss_mask: 0.1934  loss_rpn_cls: 0.006344  loss_rpn_loc: 0.02915  time: 0.3154  data_time: 0.1145  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:51:13 d2.utils.events]: \u001b[0m eta: 3:06:55  iter: 5139  total_loss: 0.4412  loss_cls: 0.06255  loss_box_reg: 0.06848  loss_mask: 0.2227  loss_rpn_cls: 0.008075  loss_rpn_loc: 0.03153  time: 0.3154  data_time: 0.1143  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:51:20 d2.utils.events]: \u001b[0m eta: 3:06:50  iter: 5159  total_loss: 0.4759  loss_cls: 0.06447  loss_box_reg: 0.08102  loss_mask: 0.2676  loss_rpn_cls: 0.01835  loss_rpn_loc: 0.05155  time: 0.3154  data_time: 0.1149  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:51:26 d2.utils.events]: \u001b[0m eta: 3:06:45  iter: 5179  total_loss: 0.4128  loss_cls: 0.06945  loss_box_reg: 0.07464  loss_mask: 0.229  loss_rpn_cls: 0.01077  loss_rpn_loc: 0.02639  time: 0.3155  data_time: 0.1142  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:51:33 d2.utils.events]: \u001b[0m eta: 3:06:36  iter: 5199  total_loss: 0.3907  loss_cls: 0.0539  loss_box_reg: 0.07311  loss_mask: 0.2218  loss_rpn_cls: 0.00783  loss_rpn_loc: 0.03816  time: 0.3155  data_time: 0.1150  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:51:39 d2.utils.events]: \u001b[0m eta: 3:06:26  iter: 5219  total_loss: 0.3536  loss_cls: 0.04532  loss_box_reg: 0.06554  loss_mask: 0.2149  loss_rpn_cls: 0.005008  loss_rpn_loc: 0.01729  time: 0.3155  data_time: 0.1145  lr: 0.00025  max_mem: 1971M\n",
      "\u001b[32m[12/15 09:51:45 d2.utils.events]: \u001b[0m eta: 3:06:22  iter: 5239  total_loss: 0.3646  loss_cls: 0.05047  loss_box_reg: 0.07102  loss_mask: 0.2158  loss_rpn_cls: 0.004578  loss_rpn_loc: 0.02385  time: 0.3155  data_time: 0.1150  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:51:52 d2.utils.events]: \u001b[0m eta: 3:06:20  iter: 5259  total_loss: 0.4505  loss_cls: 0.05345  loss_box_reg: 0.06698  loss_mask: 0.2939  loss_rpn_cls: 0.01109  loss_rpn_loc: 0.03817  time: 0.3156  data_time: 0.1161  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:51:59 d2.utils.events]: \u001b[0m eta: 3:06:23  iter: 5279  total_loss: 0.3581  loss_cls: 0.04237  loss_box_reg: 0.06038  loss_mask: 0.2135  loss_rpn_cls: 0.00631  loss_rpn_loc: 0.03795  time: 0.3157  data_time: 0.1189  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:52:06 d2.utils.events]: \u001b[0m eta: 3:06:25  iter: 5299  total_loss: 0.3591  loss_cls: 0.05002  loss_box_reg: 0.06049  loss_mask: 0.236  loss_rpn_cls: 0.008927  loss_rpn_loc: 0.03207  time: 0.3158  data_time: 0.1185  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:52:12 d2.utils.events]: \u001b[0m eta: 3:06:18  iter: 5319  total_loss: 0.4048  loss_cls: 0.05329  loss_box_reg: 0.06274  loss_mask: 0.2238  loss_rpn_cls: 0.009414  loss_rpn_loc: 0.03428  time: 0.3158  data_time: 0.1189  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:52:19 d2.utils.events]: \u001b[0m eta: 3:06:13  iter: 5339  total_loss: 0.4479  loss_cls: 0.06265  loss_box_reg: 0.07791  loss_mask: 0.2199  loss_rpn_cls: 0.009529  loss_rpn_loc: 0.03102  time: 0.3159  data_time: 0.1186  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:52:26 d2.utils.events]: \u001b[0m eta: 3:06:09  iter: 5359  total_loss: 0.4258  loss_cls: 0.04989  loss_box_reg: 0.07585  loss_mask: 0.2373  loss_rpn_cls: 0.006728  loss_rpn_loc: 0.03762  time: 0.3159  data_time: 0.1198  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:52:32 d2.utils.events]: \u001b[0m eta: 3:06:10  iter: 5379  total_loss: 0.3754  loss_cls: 0.04582  loss_box_reg: 0.05662  loss_mask: 0.212  loss_rpn_cls: 0.009073  loss_rpn_loc: 0.02255  time: 0.3159  data_time: 0.1179  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:52:39 d2.utils.events]: \u001b[0m eta: 3:06:09  iter: 5399  total_loss: 0.4329  loss_cls: 0.05331  loss_box_reg: 0.07124  loss_mask: 0.2287  loss_rpn_cls: 0.01016  loss_rpn_loc: 0.0323  time: 0.3160  data_time: 0.1187  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:52:45 d2.utils.events]: \u001b[0m eta: 3:06:06  iter: 5419  total_loss: 0.3511  loss_cls: 0.04598  loss_box_reg: 0.07112  loss_mask: 0.2159  loss_rpn_cls: 0.005836  loss_rpn_loc: 0.03674  time: 0.3160  data_time: 0.1189  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:52:52 d2.utils.events]: \u001b[0m eta: 3:05:58  iter: 5439  total_loss: 0.4357  loss_cls: 0.05763  loss_box_reg: 0.07755  loss_mask: 0.2499  loss_rpn_cls: 0.006427  loss_rpn_loc: 0.03673  time: 0.3160  data_time: 0.1168  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:52:58 d2.utils.events]: \u001b[0m eta: 3:06:06  iter: 5459  total_loss: 0.3763  loss_cls: 0.04985  loss_box_reg: 0.06883  loss_mask: 0.2441  loss_rpn_cls: 0.00733  loss_rpn_loc: 0.03177  time: 0.3161  data_time: 0.1175  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:53:04 d2.utils.events]: \u001b[0m eta: 3:06:01  iter: 5479  total_loss: 0.3545  loss_cls: 0.04515  loss_box_reg: 0.06634  loss_mask: 0.2162  loss_rpn_cls: 0.006863  loss_rpn_loc: 0.03783  time: 0.3161  data_time: 0.1170  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:53:11 d2.utils.events]: \u001b[0m eta: 3:05:56  iter: 5499  total_loss: 0.3953  loss_cls: 0.04859  loss_box_reg: 0.05703  loss_mask: 0.2092  loss_rpn_cls: 0.007097  loss_rpn_loc: 0.02396  time: 0.3161  data_time: 0.1185  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:53:17 d2.utils.events]: \u001b[0m eta: 3:05:48  iter: 5519  total_loss: 0.4167  loss_cls: 0.05739  loss_box_reg: 0.06512  loss_mask: 0.2241  loss_rpn_cls: 0.01165  loss_rpn_loc: 0.04066  time: 0.3161  data_time: 0.1172  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:53:24 d2.utils.events]: \u001b[0m eta: 3:05:42  iter: 5539  total_loss: 0.4175  loss_cls: 0.05443  loss_box_reg: 0.06352  loss_mask: 0.2343  loss_rpn_cls: 0.00964  loss_rpn_loc: 0.03821  time: 0.3161  data_time: 0.1185  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:53:30 d2.utils.events]: \u001b[0m eta: 3:05:39  iter: 5559  total_loss: 0.4274  loss_cls: 0.05484  loss_box_reg: 0.07379  loss_mask: 0.2544  loss_rpn_cls: 0.009638  loss_rpn_loc: 0.04986  time: 0.3162  data_time: 0.1188  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:53:37 d2.utils.events]: \u001b[0m eta: 3:05:35  iter: 5579  total_loss: 0.3471  loss_cls: 0.03574  loss_box_reg: 0.04723  loss_mask: 0.205  loss_rpn_cls: 0.004196  loss_rpn_loc: 0.02621  time: 0.3161  data_time: 0.1180  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:53:43 d2.utils.events]: \u001b[0m eta: 3:05:42  iter: 5599  total_loss: 0.4163  loss_cls: 0.05943  loss_box_reg: 0.07506  loss_mask: 0.2204  loss_rpn_cls: 0.006382  loss_rpn_loc: 0.03342  time: 0.3162  data_time: 0.1183  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:53:50 d2.utils.events]: \u001b[0m eta: 3:05:37  iter: 5619  total_loss: 0.4665  loss_cls: 0.05272  loss_box_reg: 0.0625  loss_mask: 0.2387  loss_rpn_cls: 0.01221  loss_rpn_loc: 0.0512  time: 0.3162  data_time: 0.1191  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:53:56 d2.utils.events]: \u001b[0m eta: 3:05:29  iter: 5639  total_loss: 0.3641  loss_cls: 0.05092  loss_box_reg: 0.06853  loss_mask: 0.2025  loss_rpn_cls: 0.005694  loss_rpn_loc: 0.02352  time: 0.3163  data_time: 0.1189  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:54:03 d2.utils.events]: \u001b[0m eta: 3:05:32  iter: 5659  total_loss: 0.363  loss_cls: 0.04349  loss_box_reg: 0.05615  loss_mask: 0.2095  loss_rpn_cls: 0.006785  loss_rpn_loc: 0.02809  time: 0.3164  data_time: 0.1180  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:54:10 d2.utils.events]: \u001b[0m eta: 3:05:35  iter: 5679  total_loss: 0.3508  loss_cls: 0.03802  loss_box_reg: 0.05741  loss_mask: 0.2176  loss_rpn_cls: 0.007984  loss_rpn_loc: 0.02242  time: 0.3164  data_time: 0.1177  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:54:16 d2.utils.events]: \u001b[0m eta: 3:05:28  iter: 5699  total_loss: 0.4193  loss_cls: 0.06222  loss_box_reg: 0.07743  loss_mask: 0.2096  loss_rpn_cls: 0.007118  loss_rpn_loc: 0.03795  time: 0.3165  data_time: 0.1181  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:54:23 d2.utils.events]: \u001b[0m eta: 3:05:26  iter: 5719  total_loss: 0.418  loss_cls: 0.05568  loss_box_reg: 0.06814  loss_mask: 0.2397  loss_rpn_cls: 0.009946  loss_rpn_loc: 0.03622  time: 0.3165  data_time: 0.1176  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:54:29 d2.utils.events]: \u001b[0m eta: 3:05:24  iter: 5739  total_loss: 0.4095  loss_cls: 0.05099  loss_box_reg: 0.06636  loss_mask: 0.2312  loss_rpn_cls: 0.007974  loss_rpn_loc: 0.04187  time: 0.3165  data_time: 0.1160  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:54:36 d2.utils.events]: \u001b[0m eta: 3:05:18  iter: 5759  total_loss: 0.4046  loss_cls: 0.0551  loss_box_reg: 0.08071  loss_mask: 0.2276  loss_rpn_cls: 0.00636  loss_rpn_loc: 0.02835  time: 0.3165  data_time: 0.1174  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:54:42 d2.utils.events]: \u001b[0m eta: 3:05:12  iter: 5779  total_loss: 0.3886  loss_cls: 0.05404  loss_box_reg: 0.07182  loss_mask: 0.2265  loss_rpn_cls: 0.005836  loss_rpn_loc: 0.02182  time: 0.3166  data_time: 0.1169  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:54:49 d2.utils.events]: \u001b[0m eta: 3:05:13  iter: 5799  total_loss: 0.4341  loss_cls: 0.05677  loss_box_reg: 0.08252  loss_mask: 0.2306  loss_rpn_cls: 0.01153  loss_rpn_loc: 0.03722  time: 0.3166  data_time: 0.1192  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:54:56 d2.utils.events]: \u001b[0m eta: 3:05:10  iter: 5819  total_loss: 0.3628  loss_cls: 0.04666  loss_box_reg: 0.07014  loss_mask: 0.2155  loss_rpn_cls: 0.008186  loss_rpn_loc: 0.02421  time: 0.3167  data_time: 0.1145  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:55:02 d2.utils.events]: \u001b[0m eta: 3:05:21  iter: 5839  total_loss: 0.4109  loss_cls: 0.0403  loss_box_reg: 0.066  loss_mask: 0.2439  loss_rpn_cls: 0.005925  loss_rpn_loc: 0.04652  time: 0.3167  data_time: 0.1154  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:55:09 d2.utils.events]: \u001b[0m eta: 3:05:22  iter: 5859  total_loss: 0.4623  loss_cls: 0.06614  loss_box_reg: 0.08515  loss_mask: 0.2597  loss_rpn_cls: 0.0102  loss_rpn_loc: 0.04103  time: 0.3168  data_time: 0.1162  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:55:15 d2.utils.events]: \u001b[0m eta: 3:05:30  iter: 5879  total_loss: 0.3826  loss_cls: 0.04901  loss_box_reg: 0.0551  loss_mask: 0.2241  loss_rpn_cls: 0.00722  loss_rpn_loc: 0.03059  time: 0.3168  data_time: 0.1153  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:55:22 d2.utils.events]: \u001b[0m eta: 3:05:29  iter: 5899  total_loss: 0.424  loss_cls: 0.04678  loss_box_reg: 0.06241  loss_mask: 0.2245  loss_rpn_cls: 0.006596  loss_rpn_loc: 0.03746  time: 0.3168  data_time: 0.1124  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:55:28 d2.utils.events]: \u001b[0m eta: 3:05:26  iter: 5919  total_loss: 0.43  loss_cls: 0.03992  loss_box_reg: 0.07139  loss_mask: 0.2147  loss_rpn_cls: 0.007566  loss_rpn_loc: 0.04358  time: 0.3169  data_time: 0.1150  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:55:35 d2.utils.events]: \u001b[0m eta: 3:05:10  iter: 5939  total_loss: 0.379  loss_cls: 0.05939  loss_box_reg: 0.06932  loss_mask: 0.2139  loss_rpn_cls: 0.004521  loss_rpn_loc: 0.03109  time: 0.3169  data_time: 0.1138  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:55:41 d2.utils.events]: \u001b[0m eta: 3:04:52  iter: 5959  total_loss: 0.368  loss_cls: 0.04609  loss_box_reg: 0.06721  loss_mask: 0.2066  loss_rpn_cls: 0.006773  loss_rpn_loc: 0.02836  time: 0.3169  data_time: 0.1145  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:55:47 d2.utils.events]: \u001b[0m eta: 3:04:15  iter: 5979  total_loss: 0.4115  loss_cls: 0.04491  loss_box_reg: 0.06595  loss_mask: 0.2389  loss_rpn_cls: 0.007732  loss_rpn_loc: 0.03167  time: 0.3168  data_time: 0.1145  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:55:54 d2.utils.events]: \u001b[0m eta: 3:04:16  iter: 5999  total_loss: 0.3807  loss_cls: 0.03524  loss_box_reg: 0.05419  loss_mask: 0.2236  loss_rpn_cls: 0.007255  loss_rpn_loc: 0.03148  time: 0.3168  data_time: 0.1136  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:56:00 d2.utils.events]: \u001b[0m eta: 3:04:01  iter: 6019  total_loss: 0.3923  loss_cls: 0.05337  loss_box_reg: 0.07603  loss_mask: 0.2237  loss_rpn_cls: 0.005809  loss_rpn_loc: 0.03283  time: 0.3169  data_time: 0.1146  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:56:07 d2.utils.events]: \u001b[0m eta: 3:04:03  iter: 6039  total_loss: 0.3942  loss_cls: 0.0552  loss_box_reg: 0.06476  loss_mask: 0.2074  loss_rpn_cls: 0.004265  loss_rpn_loc: 0.0385  time: 0.3169  data_time: 0.1142  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:56:13 d2.utils.events]: \u001b[0m eta: 3:04:05  iter: 6059  total_loss: 0.3904  loss_cls: 0.04135  loss_box_reg: 0.06031  loss_mask: 0.2419  loss_rpn_cls: 0.0052  loss_rpn_loc: 0.04213  time: 0.3169  data_time: 0.1132  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:56:19 d2.utils.events]: \u001b[0m eta: 3:03:52  iter: 6079  total_loss: 0.4082  loss_cls: 0.05132  loss_box_reg: 0.07309  loss_mask: 0.2166  loss_rpn_cls: 0.004828  loss_rpn_loc: 0.03858  time: 0.3169  data_time: 0.1146  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:56:26 d2.utils.events]: \u001b[0m eta: 3:03:39  iter: 6099  total_loss: 0.3932  loss_cls: 0.04338  loss_box_reg: 0.06225  loss_mask: 0.2272  loss_rpn_cls: 0.006772  loss_rpn_loc: 0.03066  time: 0.3169  data_time: 0.1142  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:56:32 d2.utils.events]: \u001b[0m eta: 3:03:21  iter: 6119  total_loss: 0.355  loss_cls: 0.04085  loss_box_reg: 0.0714  loss_mask: 0.2183  loss_rpn_cls: 0.003851  loss_rpn_loc: 0.02462  time: 0.3169  data_time: 0.1143  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:56:39 d2.utils.events]: \u001b[0m eta: 3:03:14  iter: 6139  total_loss: 0.4053  loss_cls: 0.0507  loss_box_reg: 0.07472  loss_mask: 0.2443  loss_rpn_cls: 0.005801  loss_rpn_loc: 0.03024  time: 0.3169  data_time: 0.1138  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:56:45 d2.utils.events]: \u001b[0m eta: 3:03:06  iter: 6159  total_loss: 0.4033  loss_cls: 0.05444  loss_box_reg: 0.06724  loss_mask: 0.2364  loss_rpn_cls: 0.003501  loss_rpn_loc: 0.03014  time: 0.3169  data_time: 0.1141  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:56:51 d2.utils.events]: \u001b[0m eta: 3:02:59  iter: 6179  total_loss: 0.4238  loss_cls: 0.05026  loss_box_reg: 0.07992  loss_mask: 0.2124  loss_rpn_cls: 0.006767  loss_rpn_loc: 0.02803  time: 0.3169  data_time: 0.1135  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:56:58 d2.utils.events]: \u001b[0m eta: 3:02:56  iter: 6199  total_loss: 0.4038  loss_cls: 0.03994  loss_box_reg: 0.06578  loss_mask: 0.2155  loss_rpn_cls: 0.007732  loss_rpn_loc: 0.03582  time: 0.3169  data_time: 0.1146  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:57:04 d2.utils.events]: \u001b[0m eta: 3:03:04  iter: 6219  total_loss: 0.3919  loss_cls: 0.05652  loss_box_reg: 0.08272  loss_mask: 0.2254  loss_rpn_cls: 0.008077  loss_rpn_loc: 0.03802  time: 0.3169  data_time: 0.1136  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:57:11 d2.utils.events]: \u001b[0m eta: 3:02:55  iter: 6239  total_loss: 0.4358  loss_cls: 0.05309  loss_box_reg: 0.07538  loss_mask: 0.2436  loss_rpn_cls: 0.005249  loss_rpn_loc: 0.02924  time: 0.3169  data_time: 0.1137  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:57:17 d2.utils.events]: \u001b[0m eta: 3:02:35  iter: 6259  total_loss: 0.3731  loss_cls: 0.04162  loss_box_reg: 0.06837  loss_mask: 0.2183  loss_rpn_cls: 0.004954  loss_rpn_loc: 0.02778  time: 0.3170  data_time: 0.1132  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:57:23 d2.utils.events]: \u001b[0m eta: 3:02:15  iter: 6279  total_loss: 0.3914  loss_cls: 0.04817  loss_box_reg: 0.06577  loss_mask: 0.216  loss_rpn_cls: 0.005552  loss_rpn_loc: 0.0381  time: 0.3170  data_time: 0.1148  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:57:30 d2.utils.events]: \u001b[0m eta: 3:02:04  iter: 6299  total_loss: 0.4021  loss_cls: 0.05457  loss_box_reg: 0.08112  loss_mask: 0.2196  loss_rpn_cls: 0.008168  loss_rpn_loc: 0.03128  time: 0.3170  data_time: 0.1141  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:57:36 d2.utils.events]: \u001b[0m eta: 3:01:39  iter: 6319  total_loss: 0.4093  loss_cls: 0.05193  loss_box_reg: 0.07617  loss_mask: 0.2382  loss_rpn_cls: 0.008788  loss_rpn_loc: 0.03367  time: 0.3170  data_time: 0.1122  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:57:42 d2.utils.events]: \u001b[0m eta: 3:01:17  iter: 6339  total_loss: 0.4253  loss_cls: 0.05169  loss_box_reg: 0.06447  loss_mask: 0.2309  loss_rpn_cls: 0.004003  loss_rpn_loc: 0.03014  time: 0.3170  data_time: 0.1144  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:57:49 d2.utils.events]: \u001b[0m eta: 3:01:10  iter: 6359  total_loss: 0.3752  loss_cls: 0.04264  loss_box_reg: 0.06434  loss_mask: 0.2376  loss_rpn_cls: 0.00522  loss_rpn_loc: 0.03344  time: 0.3170  data_time: 0.1145  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:57:55 d2.utils.events]: \u001b[0m eta: 3:01:04  iter: 6379  total_loss: 0.4171  loss_cls: 0.05226  loss_box_reg: 0.07704  loss_mask: 0.2538  loss_rpn_cls: 0.0072  loss_rpn_loc: 0.03463  time: 0.3170  data_time: 0.1121  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:58:02 d2.utils.events]: \u001b[0m eta: 3:00:54  iter: 6399  total_loss: 0.4348  loss_cls: 0.04465  loss_box_reg: 0.07539  loss_mask: 0.2443  loss_rpn_cls: 0.004985  loss_rpn_loc: 0.03314  time: 0.3170  data_time: 0.1131  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:58:08 d2.utils.events]: \u001b[0m eta: 3:00:44  iter: 6419  total_loss: 0.3687  loss_cls: 0.04257  loss_box_reg: 0.05536  loss_mask: 0.2064  loss_rpn_cls: 0.004931  loss_rpn_loc: 0.03395  time: 0.3170  data_time: 0.1139  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:58:15 d2.utils.events]: \u001b[0m eta: 3:00:38  iter: 6439  total_loss: 0.376  loss_cls: 0.07099  loss_box_reg: 0.06616  loss_mask: 0.1965  loss_rpn_cls: 0.006859  loss_rpn_loc: 0.02731  time: 0.3170  data_time: 0.1149  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:58:21 d2.utils.events]: \u001b[0m eta: 3:00:30  iter: 6459  total_loss: 0.4104  loss_cls: 0.05641  loss_box_reg: 0.07429  loss_mask: 0.22  loss_rpn_cls: 0.007397  loss_rpn_loc: 0.04271  time: 0.3171  data_time: 0.1142  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:58:28 d2.utils.events]: \u001b[0m eta: 3:00:24  iter: 6479  total_loss: 0.3406  loss_cls: 0.03573  loss_box_reg: 0.06912  loss_mask: 0.2028  loss_rpn_cls: 0.002906  loss_rpn_loc: 0.02322  time: 0.3171  data_time: 0.1153  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:58:34 d2.utils.events]: \u001b[0m eta: 3:00:20  iter: 6499  total_loss: 0.4404  loss_cls: 0.05153  loss_box_reg: 0.07461  loss_mask: 0.2126  loss_rpn_cls: 0.007901  loss_rpn_loc: 0.03535  time: 0.3171  data_time: 0.1145  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:58:41 d2.utils.events]: \u001b[0m eta: 3:00:22  iter: 6519  total_loss: 0.3492  loss_cls: 0.03804  loss_box_reg: 0.05544  loss_mask: 0.2008  loss_rpn_cls: 0.00319  loss_rpn_loc: 0.02629  time: 0.3172  data_time: 0.1150  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:58:47 d2.utils.events]: \u001b[0m eta: 3:00:12  iter: 6539  total_loss: 0.386  loss_cls: 0.0414  loss_box_reg: 0.05987  loss_mask: 0.2366  loss_rpn_cls: 0.005494  loss_rpn_loc: 0.03516  time: 0.3172  data_time: 0.1138  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:58:54 d2.utils.events]: \u001b[0m eta: 3:00:05  iter: 6559  total_loss: 0.362  loss_cls: 0.03922  loss_box_reg: 0.06624  loss_mask: 0.2033  loss_rpn_cls: 0.004365  loss_rpn_loc: 0.03412  time: 0.3172  data_time: 0.1137  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:59:00 d2.utils.events]: \u001b[0m eta: 3:00:04  iter: 6579  total_loss: 0.3281  loss_cls: 0.05235  loss_box_reg: 0.06287  loss_mask: 0.2182  loss_rpn_cls: 0.002491  loss_rpn_loc: 0.02551  time: 0.3172  data_time: 0.1138  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:59:06 d2.utils.events]: \u001b[0m eta: 2:59:52  iter: 6599  total_loss: 0.3503  loss_cls: 0.03828  loss_box_reg: 0.05414  loss_mask: 0.2026  loss_rpn_cls: 0.005962  loss_rpn_loc: 0.02216  time: 0.3172  data_time: 0.1131  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:59:13 d2.utils.events]: \u001b[0m eta: 2:59:41  iter: 6619  total_loss: 0.4377  loss_cls: 0.04312  loss_box_reg: 0.06171  loss_mask: 0.2562  loss_rpn_cls: 0.007409  loss_rpn_loc: 0.03334  time: 0.3172  data_time: 0.1131  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:59:19 d2.utils.events]: \u001b[0m eta: 2:59:17  iter: 6639  total_loss: 0.4288  loss_cls: 0.04595  loss_box_reg: 0.06818  loss_mask: 0.2238  loss_rpn_cls: 0.004475  loss_rpn_loc: 0.03696  time: 0.3172  data_time: 0.1131  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:59:26 d2.utils.events]: \u001b[0m eta: 2:59:08  iter: 6659  total_loss: 0.3753  loss_cls: 0.03545  loss_box_reg: 0.05677  loss_mask: 0.2339  loss_rpn_cls: 0.00712  loss_rpn_loc: 0.03717  time: 0.3172  data_time: 0.1145  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:59:32 d2.utils.events]: \u001b[0m eta: 2:58:58  iter: 6679  total_loss: 0.3789  loss_cls: 0.04429  loss_box_reg: 0.065  loss_mask: 0.2108  loss_rpn_cls: 0.006565  loss_rpn_loc: 0.02136  time: 0.3172  data_time: 0.1138  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:59:39 d2.utils.events]: \u001b[0m eta: 2:58:33  iter: 6699  total_loss: 0.3759  loss_cls: 0.04379  loss_box_reg: 0.07903  loss_mask: 0.2107  loss_rpn_cls: 0.00694  loss_rpn_loc: 0.02413  time: 0.3173  data_time: 0.1139  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:59:45 d2.utils.events]: \u001b[0m eta: 2:58:22  iter: 6719  total_loss: 0.4416  loss_cls: 0.05904  loss_box_reg: 0.07983  loss_mask: 0.2367  loss_rpn_cls: 0.004985  loss_rpn_loc: 0.02798  time: 0.3173  data_time: 0.1140  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:59:52 d2.utils.events]: \u001b[0m eta: 2:58:51  iter: 6739  total_loss: 0.3497  loss_cls: 0.03551  loss_box_reg: 0.05617  loss_mask: 0.2222  loss_rpn_cls: 0.007932  loss_rpn_loc: 0.03891  time: 0.3174  data_time: 0.1173  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 09:59:59 d2.utils.events]: \u001b[0m eta: 2:58:54  iter: 6759  total_loss: 0.3836  loss_cls: 0.04756  loss_box_reg: 0.06263  loss_mask: 0.2089  loss_rpn_cls: 0.003704  loss_rpn_loc: 0.02793  time: 0.3174  data_time: 0.1150  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 10:00:06 d2.utils.events]: \u001b[0m eta: 2:58:49  iter: 6779  total_loss: 0.4062  loss_cls: 0.05417  loss_box_reg: 0.07582  loss_mask: 0.2137  loss_rpn_cls: 0.006964  loss_rpn_loc: 0.02585  time: 0.3175  data_time: 0.1156  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 10:00:12 d2.utils.events]: \u001b[0m eta: 2:58:40  iter: 6799  total_loss: 0.3604  loss_cls: 0.04449  loss_box_reg: 0.06403  loss_mask: 0.213  loss_rpn_cls: 0.004334  loss_rpn_loc: 0.02789  time: 0.3175  data_time: 0.1139  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 10:00:19 d2.utils.events]: \u001b[0m eta: 2:58:19  iter: 6819  total_loss: 0.3755  loss_cls: 0.05447  loss_box_reg: 0.06973  loss_mask: 0.2372  loss_rpn_cls: 0.005966  loss_rpn_loc: 0.0289  time: 0.3176  data_time: 0.1136  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 10:00:25 d2.utils.events]: \u001b[0m eta: 2:58:19  iter: 6839  total_loss: 0.3956  loss_cls: 0.05429  loss_box_reg: 0.07857  loss_mask: 0.213  loss_rpn_cls: 0.005448  loss_rpn_loc: 0.03205  time: 0.3176  data_time: 0.1140  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 10:00:32 d2.utils.events]: \u001b[0m eta: 2:57:48  iter: 6859  total_loss: 0.4326  loss_cls: 0.05281  loss_box_reg: 0.06985  loss_mask: 0.2279  loss_rpn_cls: 0.007448  loss_rpn_loc: 0.02279  time: 0.3176  data_time: 0.1141  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 10:00:38 d2.utils.events]: \u001b[0m eta: 2:57:25  iter: 6879  total_loss: 0.5023  loss_cls: 0.06988  loss_box_reg: 0.09902  loss_mask: 0.2652  loss_rpn_cls: 0.01178  loss_rpn_loc: 0.06691  time: 0.3176  data_time: 0.1143  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 10:00:45 d2.utils.events]: \u001b[0m eta: 2:57:14  iter: 6899  total_loss: 0.3752  loss_cls: 0.03923  loss_box_reg: 0.05513  loss_mask: 0.2253  loss_rpn_cls: 0.006468  loss_rpn_loc: 0.02684  time: 0.3176  data_time: 0.1153  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 10:00:51 d2.utils.events]: \u001b[0m eta: 2:56:58  iter: 6919  total_loss: 0.3511  loss_cls: 0.04036  loss_box_reg: 0.05449  loss_mask: 0.2157  loss_rpn_cls: 0.003551  loss_rpn_loc: 0.02793  time: 0.3176  data_time: 0.1136  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 10:00:57 d2.utils.events]: \u001b[0m eta: 2:56:55  iter: 6939  total_loss: 0.3905  loss_cls: 0.04843  loss_box_reg: 0.06283  loss_mask: 0.219  loss_rpn_cls: 0.009049  loss_rpn_loc: 0.04195  time: 0.3176  data_time: 0.1141  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 10:01:04 d2.utils.events]: \u001b[0m eta: 2:56:43  iter: 6959  total_loss: 0.4721  loss_cls: 0.05661  loss_box_reg: 0.0896  loss_mask: 0.2704  loss_rpn_cls: 0.006402  loss_rpn_loc: 0.03741  time: 0.3176  data_time: 0.1143  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 10:01:10 d2.utils.events]: \u001b[0m eta: 2:56:49  iter: 6979  total_loss: 0.3796  loss_cls: 0.04112  loss_box_reg: 0.066  loss_mask: 0.223  loss_rpn_cls: 0.006031  loss_rpn_loc: 0.03077  time: 0.3176  data_time: 0.1144  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 10:01:16 d2.utils.events]: \u001b[0m eta: 2:56:44  iter: 6999  total_loss: 0.4343  loss_cls: 0.05984  loss_box_reg: 0.0796  loss_mask: 0.2293  loss_rpn_cls: 0.008314  loss_rpn_loc: 0.02792  time: 0.3176  data_time: 0.1136  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 10:01:23 d2.utils.events]: \u001b[0m eta: 2:56:30  iter: 7019  total_loss: 0.3388  loss_cls: 0.03728  loss_box_reg: 0.05497  loss_mask: 0.2024  loss_rpn_cls: 0.00476  loss_rpn_loc: 0.02719  time: 0.3176  data_time: 0.1143  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 10:01:29 d2.utils.events]: \u001b[0m eta: 2:56:24  iter: 7039  total_loss: 0.3928  loss_cls: 0.05294  loss_box_reg: 0.08002  loss_mask: 0.2244  loss_rpn_cls: 0.008487  loss_rpn_loc: 0.04414  time: 0.3175  data_time: 0.1136  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 10:01:35 d2.utils.events]: \u001b[0m eta: 2:56:13  iter: 7059  total_loss: 0.3951  loss_cls: 0.04366  loss_box_reg: 0.08593  loss_mask: 0.2098  loss_rpn_cls: 0.006138  loss_rpn_loc: 0.02535  time: 0.3175  data_time: 0.1140  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 10:01:41 d2.utils.events]: \u001b[0m eta: 2:56:04  iter: 7079  total_loss: 0.4001  loss_cls: 0.04131  loss_box_reg: 0.06039  loss_mask: 0.2399  loss_rpn_cls: 0.009148  loss_rpn_loc: 0.03291  time: 0.3175  data_time: 0.1154  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 10:01:48 d2.utils.events]: \u001b[0m eta: 2:56:00  iter: 7099  total_loss: 0.3181  loss_cls: 0.02641  loss_box_reg: 0.06561  loss_mask: 0.2076  loss_rpn_cls: 0.008632  loss_rpn_loc: 0.02493  time: 0.3175  data_time: 0.1153  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 10:01:54 d2.utils.events]: \u001b[0m eta: 2:56:00  iter: 7119  total_loss: 0.3616  loss_cls: 0.03807  loss_box_reg: 0.0573  loss_mask: 0.2233  loss_rpn_cls: 0.004244  loss_rpn_loc: 0.02306  time: 0.3175  data_time: 0.1144  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 10:02:01 d2.utils.events]: \u001b[0m eta: 2:55:58  iter: 7139  total_loss: 0.3985  loss_cls: 0.04259  loss_box_reg: 0.07193  loss_mask: 0.229  loss_rpn_cls: 0.008837  loss_rpn_loc: 0.03047  time: 0.3175  data_time: 0.1148  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 10:02:07 d2.utils.events]: \u001b[0m eta: 2:55:49  iter: 7159  total_loss: 0.39  loss_cls: 0.04611  loss_box_reg: 0.06156  loss_mask: 0.2243  loss_rpn_cls: 0.007615  loss_rpn_loc: 0.02679  time: 0.3175  data_time: 0.1130  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 10:02:13 d2.utils.events]: \u001b[0m eta: 2:55:41  iter: 7179  total_loss: 0.3657  loss_cls: 0.04538  loss_box_reg: 0.05832  loss_mask: 0.212  loss_rpn_cls: 0.006115  loss_rpn_loc: 0.03195  time: 0.3175  data_time: 0.1138  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 10:02:20 d2.utils.events]: \u001b[0m eta: 2:55:30  iter: 7199  total_loss: 0.4297  loss_cls: 0.04962  loss_box_reg: 0.07872  loss_mask: 0.2139  loss_rpn_cls: 0.004962  loss_rpn_loc: 0.04203  time: 0.3175  data_time: 0.1145  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 10:02:26 d2.utils.events]: \u001b[0m eta: 2:55:23  iter: 7219  total_loss: 0.4631  loss_cls: 0.05555  loss_box_reg: 0.09373  loss_mask: 0.2521  loss_rpn_cls: 0.006468  loss_rpn_loc: 0.04606  time: 0.3175  data_time: 0.1147  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 10:02:32 d2.utils.events]: \u001b[0m eta: 2:55:19  iter: 7239  total_loss: 0.3653  loss_cls: 0.04514  loss_box_reg: 0.06821  loss_mask: 0.2131  loss_rpn_cls: 0.005017  loss_rpn_loc: 0.03005  time: 0.3175  data_time: 0.1154  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 10:02:39 d2.utils.events]: \u001b[0m eta: 2:55:18  iter: 7259  total_loss: 0.3185  loss_cls: 0.03136  loss_box_reg: 0.05472  loss_mask: 0.1835  loss_rpn_cls: 0.009433  loss_rpn_loc: 0.0256  time: 0.3175  data_time: 0.1160  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 10:02:45 d2.utils.events]: \u001b[0m eta: 2:55:22  iter: 7279  total_loss: 0.3782  loss_cls: 0.0498  loss_box_reg: 0.06521  loss_mask: 0.1964  loss_rpn_cls: 0.005599  loss_rpn_loc: 0.02372  time: 0.3176  data_time: 0.1153  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 10:02:52 d2.utils.events]: \u001b[0m eta: 2:55:20  iter: 7299  total_loss: 0.3525  loss_cls: 0.03781  loss_box_reg: 0.06481  loss_mask: 0.2129  loss_rpn_cls: 0.002912  loss_rpn_loc: 0.03591  time: 0.3176  data_time: 0.1147  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 10:02:58 d2.utils.events]: \u001b[0m eta: 2:55:15  iter: 7319  total_loss: 0.4104  loss_cls: 0.04821  loss_box_reg: 0.08036  loss_mask: 0.2422  loss_rpn_cls: 0.005688  loss_rpn_loc: 0.0278  time: 0.3176  data_time: 0.1144  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 10:03:05 d2.utils.events]: \u001b[0m eta: 2:55:25  iter: 7339  total_loss: 0.3297  loss_cls: 0.04142  loss_box_reg: 0.05952  loss_mask: 0.1915  loss_rpn_cls: 0.00637  loss_rpn_loc: 0.0291  time: 0.3176  data_time: 0.1140  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 10:03:11 d2.utils.events]: \u001b[0m eta: 2:54:56  iter: 7359  total_loss: 0.3234  loss_cls: 0.03553  loss_box_reg: 0.05616  loss_mask: 0.2103  loss_rpn_cls: 0.004112  loss_rpn_loc: 0.02675  time: 0.3176  data_time: 0.1141  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 10:03:17 d2.utils.events]: \u001b[0m eta: 2:54:48  iter: 7379  total_loss: 0.4017  loss_cls: 0.03575  loss_box_reg: 0.06432  loss_mask: 0.2194  loss_rpn_cls: 0.007151  loss_rpn_loc: 0.03226  time: 0.3176  data_time: 0.1138  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 10:03:24 d2.utils.events]: \u001b[0m eta: 2:55:06  iter: 7399  total_loss: 0.4455  loss_cls: 0.06393  loss_box_reg: 0.1042  loss_mask: 0.2214  loss_rpn_cls: 0.007471  loss_rpn_loc: 0.03561  time: 0.3176  data_time: 0.1150  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 10:03:30 d2.utils.events]: \u001b[0m eta: 2:54:48  iter: 7419  total_loss: 0.314  loss_cls: 0.02543  loss_box_reg: 0.0503  loss_mask: 0.2053  loss_rpn_cls: 0.004412  loss_rpn_loc: 0.01858  time: 0.3176  data_time: 0.1139  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 10:03:37 d2.utils.events]: \u001b[0m eta: 2:54:31  iter: 7439  total_loss: 0.4353  loss_cls: 0.05213  loss_box_reg: 0.08195  loss_mask: 0.2302  loss_rpn_cls: 0.007906  loss_rpn_loc: 0.04013  time: 0.3176  data_time: 0.1138  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 10:03:43 d2.utils.events]: \u001b[0m eta: 2:54:23  iter: 7459  total_loss: 0.4011  loss_cls: 0.05408  loss_box_reg: 0.08559  loss_mask: 0.2204  loss_rpn_cls: 0.007456  loss_rpn_loc: 0.03474  time: 0.3176  data_time: 0.1145  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 10:03:49 d2.utils.events]: \u001b[0m eta: 2:54:11  iter: 7479  total_loss: 0.3342  loss_cls: 0.03311  loss_box_reg: 0.05341  loss_mask: 0.2135  loss_rpn_cls: 0.007971  loss_rpn_loc: 0.02545  time: 0.3176  data_time: 0.1137  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 10:03:56 d2.utils.events]: \u001b[0m eta: 2:54:06  iter: 7499  total_loss: 0.3807  loss_cls: 0.05039  loss_box_reg: 0.06475  loss_mask: 0.2221  loss_rpn_cls: 0.005305  loss_rpn_loc: 0.03262  time: 0.3176  data_time: 0.1148  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 10:04:02 d2.utils.events]: \u001b[0m eta: 2:53:52  iter: 7519  total_loss: 0.3474  loss_cls: 0.03708  loss_box_reg: 0.05484  loss_mask: 0.1977  loss_rpn_cls: 0.007093  loss_rpn_loc: 0.02701  time: 0.3176  data_time: 0.1139  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 10:04:09 d2.utils.events]: \u001b[0m eta: 2:53:53  iter: 7539  total_loss: 0.3377  loss_cls: 0.0418  loss_box_reg: 0.06231  loss_mask: 0.2103  loss_rpn_cls: 0.008233  loss_rpn_loc: 0.02569  time: 0.3176  data_time: 0.1147  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 10:04:15 d2.utils.events]: \u001b[0m eta: 2:53:45  iter: 7559  total_loss: 0.3534  loss_cls: 0.0459  loss_box_reg: 0.06209  loss_mask: 0.2029  loss_rpn_cls: 0.007287  loss_rpn_loc: 0.02571  time: 0.3176  data_time: 0.1143  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 10:04:22 d2.utils.events]: \u001b[0m eta: 2:53:39  iter: 7579  total_loss: 0.4465  loss_cls: 0.03814  loss_box_reg: 0.07  loss_mask: 0.2395  loss_rpn_cls: 0.006073  loss_rpn_loc: 0.03581  time: 0.3177  data_time: 0.1146  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 10:04:28 d2.utils.events]: \u001b[0m eta: 2:53:27  iter: 7599  total_loss: 0.3721  loss_cls: 0.03352  loss_box_reg: 0.06551  loss_mask: 0.2359  loss_rpn_cls: 0.003559  loss_rpn_loc: 0.02809  time: 0.3176  data_time: 0.1143  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 10:04:34 d2.utils.events]: \u001b[0m eta: 2:53:21  iter: 7619  total_loss: 0.3625  loss_cls: 0.0401  loss_box_reg: 0.06517  loss_mask: 0.2188  loss_rpn_cls: 0.006678  loss_rpn_loc: 0.02881  time: 0.3176  data_time: 0.1137  lr: 0.00025  max_mem: 2021M\n",
      "\u001b[32m[12/15 10:04:41 d2.utils.events]: \u001b[0m eta: 2:53:23  iter: 7639  total_loss: 0.4001  loss_cls: 0.05194  loss_box_reg: 0.07694  loss_mask: 0.2194  loss_rpn_cls: 0.008767  loss_rpn_loc: 0.0385  time: 0.3177  data_time: 0.1142  lr: 0.00025  max_mem: 2049M\n",
      "\u001b[32m[12/15 10:04:47 d2.utils.events]: \u001b[0m eta: 2:53:15  iter: 7659  total_loss: 0.4067  loss_cls: 0.05676  loss_box_reg: 0.08349  loss_mask: 0.2389  loss_rpn_cls: 0.004653  loss_rpn_loc: 0.03377  time: 0.3177  data_time: 0.1150  lr: 0.00025  max_mem: 2049M\n",
      "\u001b[32m[12/15 10:04:54 d2.utils.events]: \u001b[0m eta: 2:53:10  iter: 7679  total_loss: 0.3914  loss_cls: 0.06056  loss_box_reg: 0.07372  loss_mask: 0.2217  loss_rpn_cls: 0.007344  loss_rpn_loc: 0.02869  time: 0.3177  data_time: 0.1156  lr: 0.00025  max_mem: 2049M\n",
      "\u001b[32m[12/15 10:05:00 d2.utils.events]: \u001b[0m eta: 2:53:08  iter: 7699  total_loss: 0.3342  loss_cls: 0.03052  loss_box_reg: 0.04766  loss_mask: 0.1921  loss_rpn_cls: 0.004693  loss_rpn_loc: 0.02282  time: 0.3177  data_time: 0.1158  lr: 0.00025  max_mem: 2049M\n",
      "\u001b[32m[12/15 10:05:07 d2.utils.events]: \u001b[0m eta: 2:53:38  iter: 7719  total_loss: 0.4329  loss_cls: 0.04169  loss_box_reg: 0.06925  loss_mask: 0.2147  loss_rpn_cls: 0.008344  loss_rpn_loc: 0.03291  time: 0.3178  data_time: 0.1201  lr: 0.00025  max_mem: 2049M\n",
      "\u001b[32m[12/15 10:05:14 d2.utils.events]: \u001b[0m eta: 2:52:54  iter: 7739  total_loss: 0.3914  loss_cls: 0.04442  loss_box_reg: 0.072  loss_mask: 0.2115  loss_rpn_cls: 0.006301  loss_rpn_loc: 0.02783  time: 0.3178  data_time: 0.1162  lr: 0.00025  max_mem: 2049M\n",
      "\u001b[32m[12/15 10:05:20 d2.utils.events]: \u001b[0m eta: 2:52:46  iter: 7759  total_loss: 0.3566  loss_cls: 0.03429  loss_box_reg: 0.05713  loss_mask: 0.2328  loss_rpn_cls: 0.008444  loss_rpn_loc: 0.02814  time: 0.3178  data_time: 0.1176  lr: 0.00025  max_mem: 2049M\n",
      "\u001b[32m[12/15 10:05:27 d2.utils.events]: \u001b[0m eta: 2:52:42  iter: 7779  total_loss: 0.3634  loss_cls: 0.04556  loss_box_reg: 0.06694  loss_mask: 0.2169  loss_rpn_cls: 0.00461  loss_rpn_loc: 0.02523  time: 0.3179  data_time: 0.1218  lr: 0.00025  max_mem: 2049M\n",
      "\u001b[32m[12/15 10:05:34 d2.utils.events]: \u001b[0m eta: 2:53:02  iter: 7799  total_loss: 0.3336  loss_cls: 0.03172  loss_box_reg: 0.06245  loss_mask: 0.1944  loss_rpn_cls: 0.005751  loss_rpn_loc: 0.02467  time: 0.3180  data_time: 0.1184  lr: 0.00025  max_mem: 2049M\n",
      "\u001b[32m[12/15 10:05:41 d2.utils.events]: \u001b[0m eta: 2:53:06  iter: 7819  total_loss: 0.4198  loss_cls: 0.04514  loss_box_reg: 0.07272  loss_mask: 0.2296  loss_rpn_cls: 0.01042  loss_rpn_loc: 0.03929  time: 0.3180  data_time: 0.1154  lr: 0.00025  max_mem: 2049M\n",
      "\u001b[32m[12/15 10:05:47 d2.utils.events]: \u001b[0m eta: 2:52:46  iter: 7839  total_loss: 0.3825  loss_cls: 0.03008  loss_box_reg: 0.06208  loss_mask: 0.2336  loss_rpn_cls: 0.006105  loss_rpn_loc: 0.04225  time: 0.3181  data_time: 0.1136  lr: 0.00025  max_mem: 2049M\n",
      "\u001b[32m[12/15 10:05:54 d2.utils.events]: \u001b[0m eta: 2:52:57  iter: 7859  total_loss: 0.3761  loss_cls: 0.04706  loss_box_reg: 0.06386  loss_mask: 0.2186  loss_rpn_cls: 0.006908  loss_rpn_loc: 0.04013  time: 0.3181  data_time: 0.1152  lr: 0.00025  max_mem: 2049M\n",
      "\u001b[32m[12/15 10:06:01 d2.utils.events]: \u001b[0m eta: 2:52:52  iter: 7879  total_loss: 0.4549  loss_cls: 0.06088  loss_box_reg: 0.07835  loss_mask: 0.2543  loss_rpn_cls: 0.007801  loss_rpn_loc: 0.04979  time: 0.3181  data_time: 0.1153  lr: 0.00025  max_mem: 2049M\n",
      "\u001b[32m[12/15 10:06:07 d2.utils.events]: \u001b[0m eta: 2:52:59  iter: 7899  total_loss: 0.387  loss_cls: 0.0433  loss_box_reg: 0.07712  loss_mask: 0.2119  loss_rpn_cls: 0.004343  loss_rpn_loc: 0.0277  time: 0.3182  data_time: 0.1152  lr: 0.00025  max_mem: 2049M\n",
      "\u001b[32m[12/15 10:06:14 d2.utils.events]: \u001b[0m eta: 2:53:15  iter: 7919  total_loss: 0.3713  loss_cls: 0.0437  loss_box_reg: 0.06963  loss_mask: 0.2142  loss_rpn_cls: 0.006002  loss_rpn_loc: 0.03321  time: 0.3182  data_time: 0.1153  lr: 0.00025  max_mem: 2049M\n",
      "\u001b[32m[12/15 10:06:21 d2.utils.events]: \u001b[0m eta: 2:53:16  iter: 7939  total_loss: 0.3081  loss_cls: 0.0416  loss_box_reg: 0.05157  loss_mask: 0.1872  loss_rpn_cls: 0.003348  loss_rpn_loc: 0.02017  time: 0.3183  data_time: 0.1148  lr: 0.00025  max_mem: 2049M\n",
      "\u001b[32m[12/15 10:06:27 d2.utils.events]: \u001b[0m eta: 2:53:08  iter: 7959  total_loss: 0.3556  loss_cls: 0.04991  loss_box_reg: 0.05704  loss_mask: 0.2159  loss_rpn_cls: 0.004784  loss_rpn_loc: 0.02803  time: 0.3183  data_time: 0.1163  lr: 0.00025  max_mem: 2049M\n",
      "\u001b[32m[12/15 10:06:33 d2.utils.events]: \u001b[0m eta: 2:52:53  iter: 7979  total_loss: 0.3606  loss_cls: 0.03053  loss_box_reg: 0.05566  loss_mask: 0.2391  loss_rpn_cls: 0.005393  loss_rpn_loc: 0.02739  time: 0.3182  data_time: 0.1148  lr: 0.00025  max_mem: 2049M\n",
      "\u001b[32m[12/15 10:06:40 d2.utils.events]: \u001b[0m eta: 2:52:55  iter: 7999  total_loss: 0.3456  loss_cls: 0.05327  loss_box_reg: 0.07827  loss_mask: 0.1725  loss_rpn_cls: 0.002416  loss_rpn_loc: 0.02583  time: 0.3183  data_time: 0.1150  lr: 0.00025  max_mem: 2049M\n",
      "\u001b[32m[12/15 10:06:47 d2.utils.events]: \u001b[0m eta: 2:52:56  iter: 8019  total_loss: 0.4841  loss_cls: 0.04436  loss_box_reg: 0.09449  loss_mask: 0.2433  loss_rpn_cls: 0.002945  loss_rpn_loc: 0.03989  time: 0.3183  data_time: 0.1154  lr: 0.00025  max_mem: 2049M\n",
      "\u001b[32m[12/15 10:06:54 d2.utils.events]: \u001b[0m eta: 2:53:02  iter: 8039  total_loss: 0.4434  loss_cls: 0.04746  loss_box_reg: 0.06871  loss_mask: 0.2235  loss_rpn_cls: 0.005473  loss_rpn_loc: 0.03655  time: 0.3184  data_time: 0.1152  lr: 0.00025  max_mem: 2049M\n",
      "\u001b[32m[12/15 10:07:01 d2.utils.events]: \u001b[0m eta: 2:53:01  iter: 8059  total_loss: 0.312  loss_cls: 0.03241  loss_box_reg: 0.05894  loss_mask: 0.1773  loss_rpn_cls: 0.006385  loss_rpn_loc: 0.01738  time: 0.3184  data_time: 0.1148  lr: 0.00025  max_mem: 2049M\n",
      "\u001b[32m[12/15 10:07:07 d2.utils.events]: \u001b[0m eta: 2:52:57  iter: 8079  total_loss: 0.3641  loss_cls: 0.03202  loss_box_reg: 0.0468  loss_mask: 0.2124  loss_rpn_cls: 0.005308  loss_rpn_loc: 0.03493  time: 0.3185  data_time: 0.1156  lr: 0.00025  max_mem: 2049M\n",
      "\u001b[32m[12/15 10:07:14 d2.utils.events]: \u001b[0m eta: 2:52:53  iter: 8099  total_loss: 0.3658  loss_cls: 0.04683  loss_box_reg: 0.06599  loss_mask: 0.2238  loss_rpn_cls: 0.00916  loss_rpn_loc: 0.02845  time: 0.3185  data_time: 0.1144  lr: 0.00025  max_mem: 2049M\n",
      "\u001b[32m[12/15 10:07:20 d2.utils.events]: \u001b[0m eta: 2:52:53  iter: 8119  total_loss: 0.3967  loss_cls: 0.04363  loss_box_reg: 0.06408  loss_mask: 0.2062  loss_rpn_cls: 0.006564  loss_rpn_loc: 0.03302  time: 0.3185  data_time: 0.1176  lr: 0.00025  max_mem: 2049M\n",
      "\u001b[32m[12/15 10:07:27 d2.utils.events]: \u001b[0m eta: 2:52:48  iter: 8139  total_loss: 0.3873  loss_cls: 0.04009  loss_box_reg: 0.05969  loss_mask: 0.2139  loss_rpn_cls: 0.004019  loss_rpn_loc: 0.03297  time: 0.3186  data_time: 0.1165  lr: 0.00025  max_mem: 2049M\n",
      "\u001b[32m[12/15 10:07:34 d2.utils.events]: \u001b[0m eta: 2:52:56  iter: 8159  total_loss: 0.3732  loss_cls: 0.03951  loss_box_reg: 0.06736  loss_mask: 0.1995  loss_rpn_cls: 0.005826  loss_rpn_loc: 0.0293  time: 0.3186  data_time: 0.1138  lr: 0.00025  max_mem: 2049M\n",
      "\u001b[32m[12/15 10:07:41 d2.utils.events]: \u001b[0m eta: 2:52:52  iter: 8179  total_loss: 0.3974  loss_cls: 0.0456  loss_box_reg: 0.07336  loss_mask: 0.2255  loss_rpn_cls: 0.004035  loss_rpn_loc: 0.02623  time: 0.3187  data_time: 0.1152  lr: 0.00025  max_mem: 2049M\n",
      "\u001b[32m[12/15 10:07:47 d2.utils.events]: \u001b[0m eta: 2:52:57  iter: 8199  total_loss: 0.4118  loss_cls: 0.04827  loss_box_reg: 0.07317  loss_mask: 0.2248  loss_rpn_cls: 0.007046  loss_rpn_loc: 0.04211  time: 0.3187  data_time: 0.1145  lr: 0.00025  max_mem: 2049M\n",
      "\u001b[32m[12/15 10:07:54 d2.utils.events]: \u001b[0m eta: 2:52:54  iter: 8219  total_loss: 0.3353  loss_cls: 0.03079  loss_box_reg: 0.05492  loss_mask: 0.2158  loss_rpn_cls: 0.004552  loss_rpn_loc: 0.0222  time: 0.3188  data_time: 0.1154  lr: 0.00025  max_mem: 2049M\n",
      "\u001b[32m[12/15 10:08:01 d2.utils.events]: \u001b[0m eta: 2:52:48  iter: 8239  total_loss: 0.3626  loss_cls: 0.04665  loss_box_reg: 0.08411  loss_mask: 0.2139  loss_rpn_cls: 0.007895  loss_rpn_loc: 0.03863  time: 0.3188  data_time: 0.1131  lr: 0.00025  max_mem: 2049M\n",
      "\u001b[32m[12/15 10:08:08 d2.utils.events]: \u001b[0m eta: 2:52:41  iter: 8259  total_loss: 0.3783  loss_cls: 0.03812  loss_box_reg: 0.06948  loss_mask: 0.225  loss_rpn_cls: 0.006583  loss_rpn_loc: 0.03106  time: 0.3188  data_time: 0.1160  lr: 0.00025  max_mem: 2049M\n",
      "\u001b[32m[12/15 10:08:14 d2.utils.events]: \u001b[0m eta: 2:52:35  iter: 8279  total_loss: 0.3896  loss_cls: 0.04589  loss_box_reg: 0.06298  loss_mask: 0.2168  loss_rpn_cls: 0.006069  loss_rpn_loc: 0.03682  time: 0.3188  data_time: 0.1138  lr: 0.00025  max_mem: 2049M\n",
      "\u001b[32m[12/15 10:08:21 d2.utils.events]: \u001b[0m eta: 2:52:27  iter: 8299  total_loss: 0.3472  loss_cls: 0.05164  loss_box_reg: 0.06314  loss_mask: 0.1998  loss_rpn_cls: 0.006311  loss_rpn_loc: 0.02461  time: 0.3188  data_time: 0.1147  lr: 0.00025  max_mem: 2049M\n",
      "\u001b[32m[12/15 10:08:27 d2.utils.events]: \u001b[0m eta: 2:52:17  iter: 8319  total_loss: 0.4066  loss_cls: 0.03882  loss_box_reg: 0.06352  loss_mask: 0.2256  loss_rpn_cls: 0.007971  loss_rpn_loc: 0.03416  time: 0.3188  data_time: 0.1144  lr: 0.00025  max_mem: 2049M\n",
      "\u001b[32m[12/15 10:08:33 d2.utils.events]: \u001b[0m eta: 2:52:10  iter: 8339  total_loss: 0.3681  loss_cls: 0.03667  loss_box_reg: 0.05956  loss_mask: 0.2041  loss_rpn_cls: 0.003656  loss_rpn_loc: 0.04006  time: 0.3188  data_time: 0.1143  lr: 0.00025  max_mem: 2049M\n",
      "\u001b[32m[12/15 10:08:40 d2.utils.events]: \u001b[0m eta: 2:52:04  iter: 8359  total_loss: 0.3644  loss_cls: 0.03807  loss_box_reg: 0.06484  loss_mask: 0.219  loss_rpn_cls: 0.009621  loss_rpn_loc: 0.03633  time: 0.3188  data_time: 0.1149  lr: 0.00025  max_mem: 2049M\n",
      "\u001b[32m[12/15 10:08:46 d2.utils.events]: \u001b[0m eta: 2:52:01  iter: 8379  total_loss: 0.373  loss_cls: 0.04039  loss_box_reg: 0.0659  loss_mask: 0.2123  loss_rpn_cls: 0.00413  loss_rpn_loc: 0.03378  time: 0.3189  data_time: 0.1158  lr: 0.00025  max_mem: 2049M\n",
      "\u001b[32m[12/15 10:08:53 d2.utils.events]: \u001b[0m eta: 2:51:41  iter: 8399  total_loss: 0.3396  loss_cls: 0.03357  loss_box_reg: 0.05738  loss_mask: 0.2089  loss_rpn_cls: 0.00513  loss_rpn_loc: 0.0217  time: 0.3189  data_time: 0.1149  lr: 0.00025  max_mem: 2049M\n",
      "\u001b[32m[12/15 10:08:59 d2.utils.events]: \u001b[0m eta: 2:51:45  iter: 8419  total_loss: 0.3352  loss_cls: 0.03252  loss_box_reg: 0.06036  loss_mask: 0.2074  loss_rpn_cls: 0.004585  loss_rpn_loc: 0.02646  time: 0.3189  data_time: 0.1160  lr: 0.00025  max_mem: 2049M\n",
      "\u001b[32m[12/15 10:09:06 d2.utils.events]: \u001b[0m eta: 2:51:44  iter: 8439  total_loss: 0.3763  loss_cls: 0.03785  loss_box_reg: 0.06392  loss_mask: 0.2047  loss_rpn_cls: 0.005947  loss_rpn_loc: 0.03779  time: 0.3189  data_time: 0.1170  lr: 0.00025  max_mem: 2049M\n",
      "\u001b[32m[12/15 10:09:13 d2.utils.events]: \u001b[0m eta: 2:51:51  iter: 8459  total_loss: 0.3219  loss_cls: 0.03367  loss_box_reg: 0.06273  loss_mask: 0.1928  loss_rpn_cls: 0.003754  loss_rpn_loc: 0.02548  time: 0.3190  data_time: 0.1168  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:09:19 d2.utils.events]: \u001b[0m eta: 2:51:59  iter: 8479  total_loss: 0.3941  loss_cls: 0.04752  loss_box_reg: 0.06927  loss_mask: 0.2173  loss_rpn_cls: 0.008201  loss_rpn_loc: 0.04304  time: 0.3190  data_time: 0.1174  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:09:26 d2.utils.events]: \u001b[0m eta: 2:52:14  iter: 8499  total_loss: 0.3215  loss_cls: 0.04035  loss_box_reg: 0.06114  loss_mask: 0.198  loss_rpn_cls: 0.004099  loss_rpn_loc: 0.02655  time: 0.3191  data_time: 0.1171  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:09:33 d2.utils.events]: \u001b[0m eta: 2:52:10  iter: 8519  total_loss: 0.3536  loss_cls: 0.04004  loss_box_reg: 0.05918  loss_mask: 0.2145  loss_rpn_cls: 0.004562  loss_rpn_loc: 0.03237  time: 0.3191  data_time: 0.1166  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:09:39 d2.utils.events]: \u001b[0m eta: 2:51:58  iter: 8539  total_loss: 0.3807  loss_cls: 0.04726  loss_box_reg: 0.06849  loss_mask: 0.2236  loss_rpn_cls: 0.0049  loss_rpn_loc: 0.03012  time: 0.3191  data_time: 0.1147  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:09:45 d2.utils.events]: \u001b[0m eta: 2:51:52  iter: 8559  total_loss: 0.3651  loss_cls: 0.04309  loss_box_reg: 0.06466  loss_mask: 0.2062  loss_rpn_cls: 0.006082  loss_rpn_loc: 0.03617  time: 0.3191  data_time: 0.1141  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:09:52 d2.utils.events]: \u001b[0m eta: 2:51:49  iter: 8579  total_loss: 0.324  loss_cls: 0.03809  loss_box_reg: 0.06131  loss_mask: 0.1949  loss_rpn_cls: 0.004166  loss_rpn_loc: 0.01777  time: 0.3191  data_time: 0.1179  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:09:58 d2.utils.events]: \u001b[0m eta: 2:51:44  iter: 8599  total_loss: 0.3518  loss_cls: 0.03513  loss_box_reg: 0.0504  loss_mask: 0.2057  loss_rpn_cls: 0.004911  loss_rpn_loc: 0.02713  time: 0.3191  data_time: 0.1164  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:10:05 d2.utils.events]: \u001b[0m eta: 2:51:55  iter: 8619  total_loss: 0.3817  loss_cls: 0.03743  loss_box_reg: 0.06534  loss_mask: 0.2083  loss_rpn_cls: 0.009002  loss_rpn_loc: 0.02886  time: 0.3191  data_time: 0.1184  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:10:12 d2.utils.events]: \u001b[0m eta: 2:51:55  iter: 8639  total_loss: 0.3406  loss_cls: 0.03929  loss_box_reg: 0.06662  loss_mask: 0.2049  loss_rpn_cls: 0.00567  loss_rpn_loc: 0.02684  time: 0.3191  data_time: 0.1153  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:10:18 d2.utils.events]: \u001b[0m eta: 2:51:49  iter: 8659  total_loss: 0.3544  loss_cls: 0.03624  loss_box_reg: 0.0645  loss_mask: 0.2105  loss_rpn_cls: 0.004096  loss_rpn_loc: 0.02891  time: 0.3192  data_time: 0.1149  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:10:25 d2.utils.events]: \u001b[0m eta: 2:51:37  iter: 8679  total_loss: 0.3563  loss_cls: 0.04455  loss_box_reg: 0.06718  loss_mask: 0.2108  loss_rpn_cls: 0.005501  loss_rpn_loc: 0.03204  time: 0.3192  data_time: 0.1154  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:10:31 d2.utils.events]: \u001b[0m eta: 2:51:31  iter: 8699  total_loss: 0.3394  loss_cls: 0.03353  loss_box_reg: 0.05741  loss_mask: 0.2086  loss_rpn_cls: 0.004438  loss_rpn_loc: 0.0266  time: 0.3192  data_time: 0.1154  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:10:38 d2.utils.events]: \u001b[0m eta: 2:51:08  iter: 8719  total_loss: 0.3206  loss_cls: 0.03588  loss_box_reg: 0.05701  loss_mask: 0.1942  loss_rpn_cls: 0.002939  loss_rpn_loc: 0.02853  time: 0.3192  data_time: 0.1149  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:10:44 d2.utils.events]: \u001b[0m eta: 2:51:04  iter: 8739  total_loss: 0.3837  loss_cls: 0.04246  loss_box_reg: 0.06992  loss_mask: 0.2088  loss_rpn_cls: 0.004918  loss_rpn_loc: 0.03508  time: 0.3192  data_time: 0.1160  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:10:51 d2.utils.events]: \u001b[0m eta: 2:50:50  iter: 8759  total_loss: 0.3572  loss_cls: 0.03643  loss_box_reg: 0.06111  loss_mask: 0.22  loss_rpn_cls: 0.002835  loss_rpn_loc: 0.03182  time: 0.3192  data_time: 0.1174  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:10:57 d2.utils.events]: \u001b[0m eta: 2:50:39  iter: 8779  total_loss: 0.4136  loss_cls: 0.04674  loss_box_reg: 0.0647  loss_mask: 0.2339  loss_rpn_cls: 0.004759  loss_rpn_loc: 0.02977  time: 0.3192  data_time: 0.1142  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:11:04 d2.utils.events]: \u001b[0m eta: 2:50:21  iter: 8799  total_loss: 0.4127  loss_cls: 0.04488  loss_box_reg: 0.0757  loss_mask: 0.2205  loss_rpn_cls: 0.004857  loss_rpn_loc: 0.03461  time: 0.3193  data_time: 0.1158  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:11:10 d2.utils.events]: \u001b[0m eta: 2:50:13  iter: 8819  total_loss: 0.3472  loss_cls: 0.0469  loss_box_reg: 0.07168  loss_mask: 0.1786  loss_rpn_cls: 0.003855  loss_rpn_loc: 0.02404  time: 0.3193  data_time: 0.1149  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:11:17 d2.utils.events]: \u001b[0m eta: 2:49:59  iter: 8839  total_loss: 0.3642  loss_cls: 0.0356  loss_box_reg: 0.05707  loss_mask: 0.1922  loss_rpn_cls: 0.003418  loss_rpn_loc: 0.03539  time: 0.3193  data_time: 0.1158  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:11:23 d2.utils.events]: \u001b[0m eta: 2:49:43  iter: 8859  total_loss: 0.3802  loss_cls: 0.03114  loss_box_reg: 0.05553  loss_mask: 0.2211  loss_rpn_cls: 0.007787  loss_rpn_loc: 0.02998  time: 0.3193  data_time: 0.1163  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:11:29 d2.utils.events]: \u001b[0m eta: 2:49:38  iter: 8879  total_loss: 0.334  loss_cls: 0.03421  loss_box_reg: 0.05128  loss_mask: 0.2038  loss_rpn_cls: 0.00422  loss_rpn_loc: 0.0294  time: 0.3193  data_time: 0.1158  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:11:36 d2.utils.events]: \u001b[0m eta: 2:49:26  iter: 8899  total_loss: 0.3402  loss_cls: 0.0394  loss_box_reg: 0.07347  loss_mask: 0.1966  loss_rpn_cls: 0.003578  loss_rpn_loc: 0.02816  time: 0.3193  data_time: 0.1165  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:11:42 d2.utils.events]: \u001b[0m eta: 2:49:10  iter: 8919  total_loss: 0.3914  loss_cls: 0.03896  loss_box_reg: 0.05904  loss_mask: 0.1971  loss_rpn_cls: 0.008428  loss_rpn_loc: 0.0358  time: 0.3193  data_time: 0.1150  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:11:49 d2.utils.events]: \u001b[0m eta: 2:48:57  iter: 8939  total_loss: 0.3794  loss_cls: 0.03628  loss_box_reg: 0.07471  loss_mask: 0.2039  loss_rpn_cls: 0.003972  loss_rpn_loc: 0.02704  time: 0.3193  data_time: 0.1155  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:11:56 d2.utils.events]: \u001b[0m eta: 2:48:57  iter: 8959  total_loss: 0.4038  loss_cls: 0.05747  loss_box_reg: 0.08145  loss_mask: 0.2147  loss_rpn_cls: 0.003953  loss_rpn_loc: 0.05159  time: 0.3193  data_time: 0.1158  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:12:03 d2.utils.events]: \u001b[0m eta: 2:49:05  iter: 8979  total_loss: 0.4158  loss_cls: 0.04601  loss_box_reg: 0.07196  loss_mask: 0.2132  loss_rpn_cls: 0.004983  loss_rpn_loc: 0.03065  time: 0.3194  data_time: 0.1172  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:12:09 d2.utils.events]: \u001b[0m eta: 2:48:58  iter: 8999  total_loss: 0.352  loss_cls: 0.05138  loss_box_reg: 0.07173  loss_mask: 0.2029  loss_rpn_cls: 0.00833  loss_rpn_loc: 0.02636  time: 0.3194  data_time: 0.1172  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:12:16 d2.utils.events]: \u001b[0m eta: 2:48:56  iter: 9019  total_loss: 0.3653  loss_cls: 0.03966  loss_box_reg: 0.05415  loss_mask: 0.2048  loss_rpn_cls: 0.006184  loss_rpn_loc: 0.03825  time: 0.3195  data_time: 0.1170  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:12:23 d2.utils.events]: \u001b[0m eta: 2:48:42  iter: 9039  total_loss: 0.4089  loss_cls: 0.04346  loss_box_reg: 0.0612  loss_mask: 0.2371  loss_rpn_cls: 0.005914  loss_rpn_loc: 0.0529  time: 0.3195  data_time: 0.1169  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:12:29 d2.utils.events]: \u001b[0m eta: 2:48:34  iter: 9059  total_loss: 0.3006  loss_cls: 0.03615  loss_box_reg: 0.05252  loss_mask: 0.1842  loss_rpn_cls: 0.003168  loss_rpn_loc: 0.02405  time: 0.3195  data_time: 0.1161  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:12:36 d2.utils.events]: \u001b[0m eta: 2:48:29  iter: 9079  total_loss: 0.3516  loss_cls: 0.03258  loss_box_reg: 0.06101  loss_mask: 0.2139  loss_rpn_cls: 0.003893  loss_rpn_loc: 0.02454  time: 0.3195  data_time: 0.1163  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:12:42 d2.utils.events]: \u001b[0m eta: 2:48:23  iter: 9099  total_loss: 0.353  loss_cls: 0.03431  loss_box_reg: 0.06576  loss_mask: 0.2139  loss_rpn_cls: 0.004264  loss_rpn_loc: 0.02956  time: 0.3195  data_time: 0.1162  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:12:49 d2.utils.events]: \u001b[0m eta: 2:48:16  iter: 9119  total_loss: 0.3445  loss_cls: 0.05008  loss_box_reg: 0.06473  loss_mask: 0.2117  loss_rpn_cls: 0.006119  loss_rpn_loc: 0.02827  time: 0.3196  data_time: 0.1147  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:12:55 d2.utils.events]: \u001b[0m eta: 2:48:02  iter: 9139  total_loss: 0.3368  loss_cls: 0.03353  loss_box_reg: 0.05386  loss_mask: 0.1923  loss_rpn_cls: 0.006211  loss_rpn_loc: 0.02366  time: 0.3195  data_time: 0.1150  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:13:02 d2.utils.events]: \u001b[0m eta: 2:47:41  iter: 9159  total_loss: 0.3611  loss_cls: 0.04768  loss_box_reg: 0.07082  loss_mask: 0.2046  loss_rpn_cls: 0.003887  loss_rpn_loc: 0.03109  time: 0.3195  data_time: 0.1157  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:13:08 d2.utils.events]: \u001b[0m eta: 2:47:40  iter: 9179  total_loss: 0.4162  loss_cls: 0.04837  loss_box_reg: 0.07539  loss_mask: 0.2246  loss_rpn_cls: 0.006419  loss_rpn_loc: 0.03504  time: 0.3196  data_time: 0.1156  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:13:14 d2.utils.events]: \u001b[0m eta: 2:47:20  iter: 9199  total_loss: 0.3298  loss_cls: 0.03597  loss_box_reg: 0.06104  loss_mask: 0.2008  loss_rpn_cls: 0.005712  loss_rpn_loc: 0.03714  time: 0.3195  data_time: 0.1149  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:13:21 d2.utils.events]: \u001b[0m eta: 2:47:06  iter: 9219  total_loss: 0.3249  loss_cls: 0.02709  loss_box_reg: 0.04432  loss_mask: 0.187  loss_rpn_cls: 0.003411  loss_rpn_loc: 0.02004  time: 0.3196  data_time: 0.1156  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:13:28 d2.utils.events]: \u001b[0m eta: 2:46:59  iter: 9239  total_loss: 0.2949  loss_cls: 0.03723  loss_box_reg: 0.06803  loss_mask: 0.166  loss_rpn_cls: 0.003539  loss_rpn_loc: 0.02346  time: 0.3196  data_time: 0.1168  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:13:34 d2.utils.events]: \u001b[0m eta: 2:46:53  iter: 9259  total_loss: 0.3923  loss_cls: 0.0532  loss_box_reg: 0.07156  loss_mask: 0.2031  loss_rpn_cls: 0.008039  loss_rpn_loc: 0.03525  time: 0.3196  data_time: 0.1151  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:13:40 d2.utils.events]: \u001b[0m eta: 2:46:46  iter: 9279  total_loss: 0.3884  loss_cls: 0.04394  loss_box_reg: 0.06972  loss_mask: 0.2353  loss_rpn_cls: 0.002902  loss_rpn_loc: 0.03596  time: 0.3196  data_time: 0.1159  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:13:47 d2.utils.events]: \u001b[0m eta: 2:46:38  iter: 9299  total_loss: 0.4036  loss_cls: 0.04645  loss_box_reg: 0.06245  loss_mask: 0.2243  loss_rpn_cls: 0.00797  loss_rpn_loc: 0.03418  time: 0.3196  data_time: 0.1157  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:13:53 d2.utils.events]: \u001b[0m eta: 2:46:33  iter: 9319  total_loss: 0.3247  loss_cls: 0.02815  loss_box_reg: 0.06672  loss_mask: 0.2009  loss_rpn_cls: 0.005907  loss_rpn_loc: 0.02453  time: 0.3196  data_time: 0.1151  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:14:00 d2.utils.events]: \u001b[0m eta: 2:46:26  iter: 9339  total_loss: 0.3052  loss_cls: 0.02713  loss_box_reg: 0.04383  loss_mask: 0.1829  loss_rpn_cls: 0.00375  loss_rpn_loc: 0.02806  time: 0.3196  data_time: 0.1152  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:14:06 d2.utils.events]: \u001b[0m eta: 2:46:18  iter: 9359  total_loss: 0.3957  loss_cls: 0.03974  loss_box_reg: 0.06823  loss_mask: 0.2329  loss_rpn_cls: 0.004945  loss_rpn_loc: 0.03377  time: 0.3196  data_time: 0.1143  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:14:12 d2.utils.events]: \u001b[0m eta: 2:46:12  iter: 9379  total_loss: 0.3553  loss_cls: 0.03849  loss_box_reg: 0.05887  loss_mask: 0.1887  loss_rpn_cls: 0.00368  loss_rpn_loc: 0.03168  time: 0.3196  data_time: 0.1151  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:14:19 d2.utils.events]: \u001b[0m eta: 2:46:05  iter: 9399  total_loss: 0.3511  loss_cls: 0.03694  loss_box_reg: 0.05754  loss_mask: 0.1975  loss_rpn_cls: 0.009561  loss_rpn_loc: 0.03446  time: 0.3196  data_time: 0.1143  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:14:25 d2.utils.events]: \u001b[0m eta: 2:45:53  iter: 9419  total_loss: 0.3769  loss_cls: 0.02902  loss_box_reg: 0.07096  loss_mask: 0.2271  loss_rpn_cls: 0.005574  loss_rpn_loc: 0.03612  time: 0.3196  data_time: 0.1147  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:14:31 d2.utils.events]: \u001b[0m eta: 2:45:41  iter: 9439  total_loss: 0.3704  loss_cls: 0.04627  loss_box_reg: 0.0782  loss_mask: 0.2118  loss_rpn_cls: 0.004836  loss_rpn_loc: 0.03153  time: 0.3196  data_time: 0.1152  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:14:38 d2.utils.events]: \u001b[0m eta: 2:45:25  iter: 9459  total_loss: 0.3479  loss_cls: 0.04046  loss_box_reg: 0.06089  loss_mask: 0.2007  loss_rpn_cls: 0.004801  loss_rpn_loc: 0.02886  time: 0.3196  data_time: 0.1144  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:14:44 d2.utils.events]: \u001b[0m eta: 2:45:17  iter: 9479  total_loss: 0.3171  loss_cls: 0.03349  loss_box_reg: 0.06774  loss_mask: 0.1919  loss_rpn_cls: 0.004553  loss_rpn_loc: 0.02415  time: 0.3196  data_time: 0.1162  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:14:51 d2.utils.events]: \u001b[0m eta: 2:45:05  iter: 9499  total_loss: 0.394  loss_cls: 0.04222  loss_box_reg: 0.07185  loss_mask: 0.2384  loss_rpn_cls: 0.00495  loss_rpn_loc: 0.03307  time: 0.3196  data_time: 0.1167  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:14:57 d2.utils.events]: \u001b[0m eta: 2:45:08  iter: 9519  total_loss: 0.3457  loss_cls: 0.04733  loss_box_reg: 0.06018  loss_mask: 0.1818  loss_rpn_cls: 0.003359  loss_rpn_loc: 0.0305  time: 0.3196  data_time: 0.1163  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:15:04 d2.utils.events]: \u001b[0m eta: 2:45:09  iter: 9539  total_loss: 0.3093  loss_cls: 0.03421  loss_box_reg: 0.05441  loss_mask: 0.1892  loss_rpn_cls: 0.002655  loss_rpn_loc: 0.02086  time: 0.3196  data_time: 0.1162  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:15:10 d2.utils.events]: \u001b[0m eta: 2:45:04  iter: 9559  total_loss: 0.3825  loss_cls: 0.04238  loss_box_reg: 0.08533  loss_mask: 0.2205  loss_rpn_cls: 0.005333  loss_rpn_loc: 0.03381  time: 0.3196  data_time: 0.1161  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:15:17 d2.utils.events]: \u001b[0m eta: 2:44:48  iter: 9579  total_loss: 0.3252  loss_cls: 0.03658  loss_box_reg: 0.04481  loss_mask: 0.2235  loss_rpn_cls: 0.009231  loss_rpn_loc: 0.02515  time: 0.3196  data_time: 0.1161  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:15:23 d2.utils.events]: \u001b[0m eta: 2:44:50  iter: 9599  total_loss: 0.3529  loss_cls: 0.0278  loss_box_reg: 0.0625  loss_mask: 0.1913  loss_rpn_cls: 0.003716  loss_rpn_loc: 0.02837  time: 0.3196  data_time: 0.1168  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:15:29 d2.utils.events]: \u001b[0m eta: 2:44:20  iter: 9619  total_loss: 0.3506  loss_cls: 0.03802  loss_box_reg: 0.06422  loss_mask: 0.2156  loss_rpn_cls: 0.006962  loss_rpn_loc: 0.03209  time: 0.3196  data_time: 0.1140  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:15:36 d2.utils.events]: \u001b[0m eta: 2:44:09  iter: 9639  total_loss: 0.3811  loss_cls: 0.04034  loss_box_reg: 0.07611  loss_mask: 0.2066  loss_rpn_cls: 0.002688  loss_rpn_loc: 0.02853  time: 0.3196  data_time: 0.1153  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:15:42 d2.utils.events]: \u001b[0m eta: 2:44:05  iter: 9659  total_loss: 0.3111  loss_cls: 0.04506  loss_box_reg: 0.0549  loss_mask: 0.1773  loss_rpn_cls: 0.004147  loss_rpn_loc: 0.02504  time: 0.3196  data_time: 0.1154  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:15:48 d2.utils.events]: \u001b[0m eta: 2:43:38  iter: 9679  total_loss: 0.3636  loss_cls: 0.03755  loss_box_reg: 0.05367  loss_mask: 0.2168  loss_rpn_cls: 0.006833  loss_rpn_loc: 0.02896  time: 0.3196  data_time: 0.1151  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:15:55 d2.utils.events]: \u001b[0m eta: 2:43:31  iter: 9699  total_loss: 0.3623  loss_cls: 0.0291  loss_box_reg: 0.05472  loss_mask: 0.2151  loss_rpn_cls: 0.006175  loss_rpn_loc: 0.02458  time: 0.3196  data_time: 0.1161  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:16:01 d2.utils.events]: \u001b[0m eta: 2:43:18  iter: 9719  total_loss: 0.3334  loss_cls: 0.03115  loss_box_reg: 0.05891  loss_mask: 0.1902  loss_rpn_cls: 0.006809  loss_rpn_loc: 0.03112  time: 0.3196  data_time: 0.1139  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:16:07 d2.utils.events]: \u001b[0m eta: 2:43:13  iter: 9739  total_loss: 0.3021  loss_cls: 0.03301  loss_box_reg: 0.05898  loss_mask: 0.2059  loss_rpn_cls: 0.003636  loss_rpn_loc: 0.01721  time: 0.3196  data_time: 0.1157  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:16:14 d2.utils.events]: \u001b[0m eta: 2:43:02  iter: 9759  total_loss: 0.3433  loss_cls: 0.03352  loss_box_reg: 0.06022  loss_mask: 0.1923  loss_rpn_cls: 0.004024  loss_rpn_loc: 0.02548  time: 0.3195  data_time: 0.1158  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:16:20 d2.utils.events]: \u001b[0m eta: 2:42:50  iter: 9779  total_loss: 0.3355  loss_cls: 0.03453  loss_box_reg: 0.05569  loss_mask: 0.1984  loss_rpn_cls: 0.005016  loss_rpn_loc: 0.02943  time: 0.3195  data_time: 0.1142  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:16:27 d2.utils.events]: \u001b[0m eta: 2:42:44  iter: 9799  total_loss: 0.3248  loss_cls: 0.031  loss_box_reg: 0.06544  loss_mask: 0.1852  loss_rpn_cls: 0.004545  loss_rpn_loc: 0.02807  time: 0.3195  data_time: 0.1150  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:16:33 d2.utils.events]: \u001b[0m eta: 2:42:34  iter: 9819  total_loss: 0.4116  loss_cls: 0.04505  loss_box_reg: 0.06842  loss_mask: 0.2295  loss_rpn_cls: 0.006884  loss_rpn_loc: 0.03915  time: 0.3195  data_time: 0.1152  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:16:39 d2.utils.events]: \u001b[0m eta: 2:42:31  iter: 9839  total_loss: 0.3789  loss_cls: 0.03819  loss_box_reg: 0.07315  loss_mask: 0.2106  loss_rpn_cls: 0.003977  loss_rpn_loc: 0.02992  time: 0.3195  data_time: 0.1152  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:16:46 d2.utils.events]: \u001b[0m eta: 2:42:30  iter: 9859  total_loss: 0.2889  loss_cls: 0.03024  loss_box_reg: 0.05827  loss_mask: 0.1867  loss_rpn_cls: 0.005076  loss_rpn_loc: 0.02281  time: 0.3195  data_time: 0.1158  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:16:52 d2.utils.events]: \u001b[0m eta: 2:42:31  iter: 9879  total_loss: 0.3502  loss_cls: 0.04093  loss_box_reg: 0.06373  loss_mask: 0.1984  loss_rpn_cls: 0.002436  loss_rpn_loc: 0.02922  time: 0.3196  data_time: 0.1152  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:16:59 d2.utils.events]: \u001b[0m eta: 2:42:16  iter: 9899  total_loss: 0.3077  loss_cls: 0.02892  loss_box_reg: 0.0484  loss_mask: 0.19  loss_rpn_cls: 0.005222  loss_rpn_loc: 0.02912  time: 0.3196  data_time: 0.1154  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:17:05 d2.utils.events]: \u001b[0m eta: 2:42:10  iter: 9919  total_loss: 0.3644  loss_cls: 0.04879  loss_box_reg: 0.06896  loss_mask: 0.199  loss_rpn_cls: 0.008734  loss_rpn_loc: 0.02852  time: 0.3196  data_time: 0.1146  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:17:12 d2.utils.events]: \u001b[0m eta: 2:42:07  iter: 9939  total_loss: 0.2816  loss_cls: 0.03495  loss_box_reg: 0.04907  loss_mask: 0.1931  loss_rpn_cls: 0.003281  loss_rpn_loc: 0.02822  time: 0.3196  data_time: 0.1158  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:17:18 d2.utils.events]: \u001b[0m eta: 2:41:56  iter: 9959  total_loss: 0.4073  loss_cls: 0.04984  loss_box_reg: 0.0821  loss_mask: 0.2217  loss_rpn_cls: 0.004536  loss_rpn_loc: 0.03188  time: 0.3196  data_time: 0.1146  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:17:24 d2.utils.events]: \u001b[0m eta: 2:41:43  iter: 9979  total_loss: 0.3341  loss_cls: 0.04374  loss_box_reg: 0.07528  loss_mask: 0.1874  loss_rpn_cls: 0.007659  loss_rpn_loc: 0.02602  time: 0.3196  data_time: 0.1142  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:17:31 d2.utils.events]: \u001b[0m eta: 2:41:29  iter: 9999  total_loss: 0.3865  loss_cls: 0.03855  loss_box_reg: 0.05742  loss_mask: 0.221  loss_rpn_cls: 0.005857  loss_rpn_loc: 0.02606  time: 0.3196  data_time: 0.1157  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:17:38 d2.utils.events]: \u001b[0m eta: 2:41:20  iter: 10019  total_loss: 0.3508  loss_cls: 0.03431  loss_box_reg: 0.06705  loss_mask: 0.2038  loss_rpn_cls: 0.004601  loss_rpn_loc: 0.02957  time: 0.3196  data_time: 0.1151  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:17:44 d2.utils.events]: \u001b[0m eta: 2:41:11  iter: 10039  total_loss: 0.3657  loss_cls: 0.03752  loss_box_reg: 0.06304  loss_mask: 0.2  loss_rpn_cls: 0.003995  loss_rpn_loc: 0.03142  time: 0.3196  data_time: 0.1147  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:17:50 d2.utils.events]: \u001b[0m eta: 2:41:09  iter: 10059  total_loss: 0.3639  loss_cls: 0.03896  loss_box_reg: 0.06413  loss_mask: 0.218  loss_rpn_cls: 0.006714  loss_rpn_loc: 0.03623  time: 0.3196  data_time: 0.1145  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:17:57 d2.utils.events]: \u001b[0m eta: 2:41:04  iter: 10079  total_loss: 0.291  loss_cls: 0.0351  loss_box_reg: 0.05985  loss_mask: 0.181  loss_rpn_cls: 0.005539  loss_rpn_loc: 0.01905  time: 0.3196  data_time: 0.1159  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:18:03 d2.utils.events]: \u001b[0m eta: 2:40:56  iter: 10099  total_loss: 0.2906  loss_cls: 0.03558  loss_box_reg: 0.06087  loss_mask: 0.179  loss_rpn_cls: 0.001312  loss_rpn_loc: 0.01824  time: 0.3196  data_time: 0.1149  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:18:10 d2.utils.events]: \u001b[0m eta: 2:40:47  iter: 10119  total_loss: 0.3688  loss_cls: 0.03108  loss_box_reg: 0.06454  loss_mask: 0.1986  loss_rpn_cls: 0.008431  loss_rpn_loc: 0.03584  time: 0.3196  data_time: 0.1145  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:18:16 d2.utils.events]: \u001b[0m eta: 2:40:40  iter: 10139  total_loss: 0.3715  loss_cls: 0.04427  loss_box_reg: 0.06779  loss_mask: 0.2219  loss_rpn_cls: 0.006443  loss_rpn_loc: 0.03037  time: 0.3196  data_time: 0.1158  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:18:23 d2.utils.events]: \u001b[0m eta: 2:40:38  iter: 10159  total_loss: 0.3115  loss_cls: 0.02873  loss_box_reg: 0.05185  loss_mask: 0.1942  loss_rpn_cls: 0.001766  loss_rpn_loc: 0.02151  time: 0.3196  data_time: 0.1151  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:18:29 d2.utils.events]: \u001b[0m eta: 2:40:30  iter: 10179  total_loss: 0.4387  loss_cls: 0.04751  loss_box_reg: 0.08315  loss_mask: 0.2181  loss_rpn_cls: 0.00693  loss_rpn_loc: 0.05073  time: 0.3196  data_time: 0.1155  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:18:36 d2.utils.events]: \u001b[0m eta: 2:40:24  iter: 10199  total_loss: 0.3391  loss_cls: 0.03625  loss_box_reg: 0.06223  loss_mask: 0.1985  loss_rpn_cls: 0.00528  loss_rpn_loc: 0.03487  time: 0.3196  data_time: 0.1162  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:18:42 d2.utils.events]: \u001b[0m eta: 2:40:19  iter: 10219  total_loss: 0.306  loss_cls: 0.03624  loss_box_reg: 0.05951  loss_mask: 0.1965  loss_rpn_cls: 0.002659  loss_rpn_loc: 0.02678  time: 0.3196  data_time: 0.1140  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:18:48 d2.utils.events]: \u001b[0m eta: 2:40:08  iter: 10239  total_loss: 0.3224  loss_cls: 0.04149  loss_box_reg: 0.07855  loss_mask: 0.1956  loss_rpn_cls: 0.004232  loss_rpn_loc: 0.0223  time: 0.3196  data_time: 0.1157  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:18:55 d2.utils.events]: \u001b[0m eta: 2:40:00  iter: 10259  total_loss: 0.3557  loss_cls: 0.04386  loss_box_reg: 0.05585  loss_mask: 0.2169  loss_rpn_cls: 0.007911  loss_rpn_loc: 0.03193  time: 0.3196  data_time: 0.1152  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:19:01 d2.utils.events]: \u001b[0m eta: 2:39:52  iter: 10279  total_loss: 0.325  loss_cls: 0.03637  loss_box_reg: 0.05611  loss_mask: 0.2016  loss_rpn_cls: 0.008508  loss_rpn_loc: 0.02315  time: 0.3196  data_time: 0.1143  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:19:07 d2.utils.events]: \u001b[0m eta: 2:39:45  iter: 10299  total_loss: 0.3116  loss_cls: 0.03207  loss_box_reg: 0.05413  loss_mask: 0.1664  loss_rpn_cls: 0.006886  loss_rpn_loc: 0.0176  time: 0.3196  data_time: 0.1142  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:19:14 d2.utils.events]: \u001b[0m eta: 2:39:37  iter: 10319  total_loss: 0.3357  loss_cls: 0.03443  loss_box_reg: 0.0608  loss_mask: 0.2048  loss_rpn_cls: 0.004293  loss_rpn_loc: 0.01925  time: 0.3196  data_time: 0.1139  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:19:20 d2.utils.events]: \u001b[0m eta: 2:39:34  iter: 10339  total_loss: 0.313  loss_cls: 0.03164  loss_box_reg: 0.06357  loss_mask: 0.188  loss_rpn_cls: 0.003265  loss_rpn_loc: 0.02631  time: 0.3196  data_time: 0.1145  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:19:27 d2.utils.events]: \u001b[0m eta: 2:39:30  iter: 10359  total_loss: 0.3563  loss_cls: 0.04021  loss_box_reg: 0.06189  loss_mask: 0.203  loss_rpn_cls: 0.005008  loss_rpn_loc: 0.03288  time: 0.3196  data_time: 0.1139  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:19:33 d2.utils.events]: \u001b[0m eta: 2:39:24  iter: 10379  total_loss: 0.3437  loss_cls: 0.03548  loss_box_reg: 0.06411  loss_mask: 0.1912  loss_rpn_cls: 0.006281  loss_rpn_loc: 0.02375  time: 0.3196  data_time: 0.1149  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:19:40 d2.utils.events]: \u001b[0m eta: 2:39:23  iter: 10399  total_loss: 0.3127  loss_cls: 0.02948  loss_box_reg: 0.06192  loss_mask: 0.1942  loss_rpn_cls: 0.002197  loss_rpn_loc: 0.01836  time: 0.3196  data_time: 0.1156  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:19:46 d2.utils.events]: \u001b[0m eta: 2:39:16  iter: 10419  total_loss: 0.3326  loss_cls: 0.0278  loss_box_reg: 0.06256  loss_mask: 0.202  loss_rpn_cls: 0.004116  loss_rpn_loc: 0.03512  time: 0.3196  data_time: 0.1135  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:19:52 d2.utils.events]: \u001b[0m eta: 2:39:10  iter: 10439  total_loss: 0.3071  loss_cls: 0.02998  loss_box_reg: 0.05786  loss_mask: 0.191  loss_rpn_cls: 0.006374  loss_rpn_loc: 0.02306  time: 0.3196  data_time: 0.1145  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:19:59 d2.utils.events]: \u001b[0m eta: 2:39:04  iter: 10459  total_loss: 0.4221  loss_cls: 0.04808  loss_box_reg: 0.08237  loss_mask: 0.2099  loss_rpn_cls: 0.002637  loss_rpn_loc: 0.03024  time: 0.3196  data_time: 0.1135  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:20:05 d2.utils.events]: \u001b[0m eta: 2:38:59  iter: 10479  total_loss: 0.364  loss_cls: 0.04029  loss_box_reg: 0.08554  loss_mask: 0.21  loss_rpn_cls: 0.006445  loss_rpn_loc: 0.02861  time: 0.3196  data_time: 0.1141  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:20:12 d2.utils.events]: \u001b[0m eta: 2:38:51  iter: 10499  total_loss: 0.3518  loss_cls: 0.03948  loss_box_reg: 0.05849  loss_mask: 0.1929  loss_rpn_cls: 0.003286  loss_rpn_loc: 0.03495  time: 0.3196  data_time: 0.1142  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:20:18 d2.utils.events]: \u001b[0m eta: 2:38:37  iter: 10519  total_loss: 0.3607  loss_cls: 0.04782  loss_box_reg: 0.06755  loss_mask: 0.2189  loss_rpn_cls: 0.003867  loss_rpn_loc: 0.03212  time: 0.3196  data_time: 0.1135  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:20:24 d2.utils.events]: \u001b[0m eta: 2:38:29  iter: 10539  total_loss: 0.3411  loss_cls: 0.03913  loss_box_reg: 0.07318  loss_mask: 0.1973  loss_rpn_cls: 0.003317  loss_rpn_loc: 0.02426  time: 0.3196  data_time: 0.1149  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:20:31 d2.utils.events]: \u001b[0m eta: 2:38:23  iter: 10559  total_loss: 0.3016  loss_cls: 0.02659  loss_box_reg: 0.04335  loss_mask: 0.1913  loss_rpn_cls: 0.003265  loss_rpn_loc: 0.0242  time: 0.3196  data_time: 0.1151  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:20:37 d2.utils.events]: \u001b[0m eta: 2:38:18  iter: 10579  total_loss: 0.3479  loss_cls: 0.03982  loss_box_reg: 0.08239  loss_mask: 0.184  loss_rpn_cls: 0.004233  loss_rpn_loc: 0.0244  time: 0.3196  data_time: 0.1155  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:20:44 d2.utils.events]: \u001b[0m eta: 2:38:10  iter: 10599  total_loss: 0.3667  loss_cls: 0.03387  loss_box_reg: 0.07445  loss_mask: 0.2189  loss_rpn_cls: 0.003411  loss_rpn_loc: 0.03624  time: 0.3196  data_time: 0.1141  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:20:50 d2.utils.events]: \u001b[0m eta: 2:38:11  iter: 10619  total_loss: 0.3564  loss_cls: 0.04024  loss_box_reg: 0.0639  loss_mask: 0.2199  loss_rpn_cls: 0.003423  loss_rpn_loc: 0.02912  time: 0.3196  data_time: 0.1140  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:20:57 d2.utils.events]: \u001b[0m eta: 2:38:04  iter: 10639  total_loss: 0.3234  loss_cls: 0.03792  loss_box_reg: 0.06423  loss_mask: 0.1881  loss_rpn_cls: 0.003128  loss_rpn_loc: 0.02696  time: 0.3196  data_time: 0.1142  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:21:03 d2.utils.events]: \u001b[0m eta: 2:37:55  iter: 10659  total_loss: 0.3135  loss_cls: 0.03083  loss_box_reg: 0.05622  loss_mask: 0.195  loss_rpn_cls: 0.003781  loss_rpn_loc: 0.02848  time: 0.3196  data_time: 0.1149  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:21:09 d2.utils.events]: \u001b[0m eta: 2:37:49  iter: 10679  total_loss: 0.3257  loss_cls: 0.03497  loss_box_reg: 0.05981  loss_mask: 0.207  loss_rpn_cls: 0.004915  loss_rpn_loc: 0.03103  time: 0.3196  data_time: 0.1142  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:21:16 d2.utils.events]: \u001b[0m eta: 2:37:41  iter: 10699  total_loss: 0.3501  loss_cls: 0.03505  loss_box_reg: 0.06448  loss_mask: 0.2199  loss_rpn_cls: 0.005827  loss_rpn_loc: 0.03431  time: 0.3196  data_time: 0.1133  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:21:22 d2.utils.events]: \u001b[0m eta: 2:37:38  iter: 10719  total_loss: 0.3276  loss_cls: 0.03931  loss_box_reg: 0.06857  loss_mask: 0.1966  loss_rpn_cls: 0.004645  loss_rpn_loc: 0.02627  time: 0.3196  data_time: 0.1128  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:21:28 d2.utils.events]: \u001b[0m eta: 2:37:28  iter: 10739  total_loss: 0.2987  loss_cls: 0.03628  loss_box_reg: 0.05834  loss_mask: 0.1817  loss_rpn_cls: 0.003761  loss_rpn_loc: 0.02922  time: 0.3196  data_time: 0.1132  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:21:35 d2.utils.events]: \u001b[0m eta: 2:37:26  iter: 10759  total_loss: 0.4057  loss_cls: 0.05074  loss_box_reg: 0.08509  loss_mask: 0.2319  loss_rpn_cls: 0.007778  loss_rpn_loc: 0.03788  time: 0.3196  data_time: 0.1137  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:21:41 d2.utils.events]: \u001b[0m eta: 2:37:21  iter: 10779  total_loss: 0.319  loss_cls: 0.03836  loss_box_reg: 0.07217  loss_mask: 0.1828  loss_rpn_cls: 0.002559  loss_rpn_loc: 0.02577  time: 0.3196  data_time: 0.1136  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:21:47 d2.utils.events]: \u001b[0m eta: 2:37:11  iter: 10799  total_loss: 0.3097  loss_cls: 0.03058  loss_box_reg: 0.05027  loss_mask: 0.1886  loss_rpn_cls: 0.00331  loss_rpn_loc: 0.02797  time: 0.3196  data_time: 0.1143  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:21:54 d2.utils.events]: \u001b[0m eta: 2:37:01  iter: 10819  total_loss: 0.3115  loss_cls: 0.02973  loss_box_reg: 0.05082  loss_mask: 0.2039  loss_rpn_cls: 0.002336  loss_rpn_loc: 0.02239  time: 0.3195  data_time: 0.1144  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:22:00 d2.utils.events]: \u001b[0m eta: 2:36:55  iter: 10839  total_loss: 0.3416  loss_cls: 0.03577  loss_box_reg: 0.05832  loss_mask: 0.1948  loss_rpn_cls: 0.004631  loss_rpn_loc: 0.03095  time: 0.3195  data_time: 0.1142  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:22:06 d2.utils.events]: \u001b[0m eta: 2:36:44  iter: 10859  total_loss: 0.2914  loss_cls: 0.02379  loss_box_reg: 0.0439  loss_mask: 0.2004  loss_rpn_cls: 0.003326  loss_rpn_loc: 0.02101  time: 0.3195  data_time: 0.1130  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:22:13 d2.utils.events]: \u001b[0m eta: 2:36:35  iter: 10879  total_loss: 0.3421  loss_cls: 0.03943  loss_box_reg: 0.06652  loss_mask: 0.1826  loss_rpn_cls: 0.006602  loss_rpn_loc: 0.0336  time: 0.3195  data_time: 0.1143  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:22:19 d2.utils.events]: \u001b[0m eta: 2:36:23  iter: 10899  total_loss: 0.3546  loss_cls: 0.03976  loss_box_reg: 0.06326  loss_mask: 0.2279  loss_rpn_cls: 0.004583  loss_rpn_loc: 0.02928  time: 0.3195  data_time: 0.1135  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:22:26 d2.utils.events]: \u001b[0m eta: 2:36:11  iter: 10919  total_loss: 0.3496  loss_cls: 0.03577  loss_box_reg: 0.05798  loss_mask: 0.1866  loss_rpn_cls: 0.00545  loss_rpn_loc: 0.0379  time: 0.3195  data_time: 0.1140  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:22:32 d2.utils.events]: \u001b[0m eta: 2:36:02  iter: 10939  total_loss: 0.3306  loss_cls: 0.03767  loss_box_reg: 0.05579  loss_mask: 0.1955  loss_rpn_cls: 0.002365  loss_rpn_loc: 0.02181  time: 0.3195  data_time: 0.1136  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:22:39 d2.utils.events]: \u001b[0m eta: 2:35:58  iter: 10959  total_loss: 0.3903  loss_cls: 0.03732  loss_box_reg: 0.06246  loss_mask: 0.2024  loss_rpn_cls: 0.00724  loss_rpn_loc: 0.03867  time: 0.3196  data_time: 0.1145  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:22:45 d2.utils.events]: \u001b[0m eta: 2:36:00  iter: 10979  total_loss: 0.321  loss_cls: 0.02847  loss_box_reg: 0.06087  loss_mask: 0.1856  loss_rpn_cls: 0.003032  loss_rpn_loc: 0.02387  time: 0.3196  data_time: 0.1164  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:22:52 d2.utils.events]: \u001b[0m eta: 2:36:04  iter: 10999  total_loss: 0.3711  loss_cls: 0.03929  loss_box_reg: 0.0721  loss_mask: 0.2012  loss_rpn_cls: 0.004314  loss_rpn_loc: 0.0394  time: 0.3196  data_time: 0.1158  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:22:59 d2.utils.events]: \u001b[0m eta: 2:35:59  iter: 11019  total_loss: 0.3093  loss_cls: 0.03459  loss_box_reg: 0.05167  loss_mask: 0.1823  loss_rpn_cls: 0.003282  loss_rpn_loc: 0.02203  time: 0.3196  data_time: 0.1148  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:23:05 d2.utils.events]: \u001b[0m eta: 2:35:52  iter: 11039  total_loss: 0.3132  loss_cls: 0.03079  loss_box_reg: 0.06036  loss_mask: 0.1862  loss_rpn_cls: 0.004104  loss_rpn_loc: 0.02441  time: 0.3196  data_time: 0.1144  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:23:11 d2.utils.events]: \u001b[0m eta: 2:35:46  iter: 11059  total_loss: 0.3358  loss_cls: 0.04112  loss_box_reg: 0.05983  loss_mask: 0.1794  loss_rpn_cls: 0.003048  loss_rpn_loc: 0.02679  time: 0.3196  data_time: 0.1144  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:23:18 d2.utils.events]: \u001b[0m eta: 2:35:41  iter: 11079  total_loss: 0.3202  loss_cls: 0.02704  loss_box_reg: 0.06183  loss_mask: 0.1804  loss_rpn_cls: 0.003542  loss_rpn_loc: 0.02574  time: 0.3196  data_time: 0.1155  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:23:24 d2.utils.events]: \u001b[0m eta: 2:35:31  iter: 11099  total_loss: 0.2998  loss_cls: 0.02758  loss_box_reg: 0.04945  loss_mask: 0.1918  loss_rpn_cls: 0.002877  loss_rpn_loc: 0.02054  time: 0.3196  data_time: 0.1162  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:23:31 d2.utils.events]: \u001b[0m eta: 2:35:18  iter: 11119  total_loss: 0.431  loss_cls: 0.04518  loss_box_reg: 0.06716  loss_mask: 0.2243  loss_rpn_cls: 0.007641  loss_rpn_loc: 0.04753  time: 0.3196  data_time: 0.1155  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:23:37 d2.utils.events]: \u001b[0m eta: 2:35:11  iter: 11139  total_loss: 0.3346  loss_cls: 0.03635  loss_box_reg: 0.07613  loss_mask: 0.1943  loss_rpn_cls: 0.003682  loss_rpn_loc: 0.02173  time: 0.3196  data_time: 0.1144  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:23:44 d2.utils.events]: \u001b[0m eta: 2:35:05  iter: 11159  total_loss: 0.3046  loss_cls: 0.03101  loss_box_reg: 0.06112  loss_mask: 0.1739  loss_rpn_cls: 0.004879  loss_rpn_loc: 0.01946  time: 0.3196  data_time: 0.1155  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:23:50 d2.utils.events]: \u001b[0m eta: 2:34:59  iter: 11179  total_loss: 0.3132  loss_cls: 0.03425  loss_box_reg: 0.06214  loss_mask: 0.1901  loss_rpn_cls: 0.004844  loss_rpn_loc: 0.02066  time: 0.3196  data_time: 0.1155  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:23:56 d2.utils.events]: \u001b[0m eta: 2:34:53  iter: 11199  total_loss: 0.3242  loss_cls: 0.03308  loss_box_reg: 0.05701  loss_mask: 0.1978  loss_rpn_cls: 0.005548  loss_rpn_loc: 0.02979  time: 0.3196  data_time: 0.1153  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:24:03 d2.utils.events]: \u001b[0m eta: 2:34:45  iter: 11219  total_loss: 0.3433  loss_cls: 0.04533  loss_box_reg: 0.07473  loss_mask: 0.2145  loss_rpn_cls: 0.005725  loss_rpn_loc: 0.02753  time: 0.3197  data_time: 0.1144  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:24:09 d2.utils.events]: \u001b[0m eta: 2:34:37  iter: 11239  total_loss: 0.2866  loss_cls: 0.02593  loss_box_reg: 0.05807  loss_mask: 0.2006  loss_rpn_cls: 0.002286  loss_rpn_loc: 0.01699  time: 0.3197  data_time: 0.1149  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:24:16 d2.utils.events]: \u001b[0m eta: 2:34:33  iter: 11259  total_loss: 0.3991  loss_cls: 0.04302  loss_box_reg: 0.06847  loss_mask: 0.21  loss_rpn_cls: 0.004212  loss_rpn_loc: 0.04135  time: 0.3197  data_time: 0.1157  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:24:22 d2.utils.events]: \u001b[0m eta: 2:34:34  iter: 11279  total_loss: 0.2813  loss_cls: 0.03295  loss_box_reg: 0.05662  loss_mask: 0.1559  loss_rpn_cls: 0.002806  loss_rpn_loc: 0.01999  time: 0.3197  data_time: 0.1159  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:24:29 d2.utils.events]: \u001b[0m eta: 2:34:26  iter: 11299  total_loss: 0.3593  loss_cls: 0.03196  loss_box_reg: 0.06244  loss_mask: 0.2041  loss_rpn_cls: 0.007676  loss_rpn_loc: 0.03068  time: 0.3197  data_time: 0.1146  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:24:35 d2.utils.events]: \u001b[0m eta: 2:34:21  iter: 11319  total_loss: 0.2816  loss_cls: 0.02537  loss_box_reg: 0.04913  loss_mask: 0.174  loss_rpn_cls: 0.002706  loss_rpn_loc: 0.02263  time: 0.3197  data_time: 0.1143  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:24:41 d2.utils.events]: \u001b[0m eta: 2:34:18  iter: 11339  total_loss: 0.3608  loss_cls: 0.03708  loss_box_reg: 0.0629  loss_mask: 0.2103  loss_rpn_cls: 0.005177  loss_rpn_loc: 0.02956  time: 0.3197  data_time: 0.1147  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:24:49 d2.utils.events]: \u001b[0m eta: 2:34:29  iter: 11359  total_loss: 0.3327  loss_cls: 0.03683  loss_box_reg: 0.05108  loss_mask: 0.2068  loss_rpn_cls: 0.003292  loss_rpn_loc: 0.02289  time: 0.3197  data_time: 0.1187  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:24:56 d2.utils.events]: \u001b[0m eta: 2:34:35  iter: 11379  total_loss: 0.3258  loss_cls: 0.03633  loss_box_reg: 0.05597  loss_mask: 0.1968  loss_rpn_cls: 0.003642  loss_rpn_loc: 0.021  time: 0.3198  data_time: 0.1189  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:25:02 d2.utils.events]: \u001b[0m eta: 2:34:32  iter: 11399  total_loss: 0.3336  loss_cls: 0.04063  loss_box_reg: 0.06717  loss_mask: 0.1958  loss_rpn_cls: 0.005558  loss_rpn_loc: 0.02238  time: 0.3198  data_time: 0.1165  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:25:09 d2.utils.events]: \u001b[0m eta: 2:34:31  iter: 11419  total_loss: 0.4085  loss_cls: 0.04353  loss_box_reg: 0.08101  loss_mask: 0.2263  loss_rpn_cls: 0.007648  loss_rpn_loc: 0.03273  time: 0.3198  data_time: 0.1166  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:25:15 d2.utils.events]: \u001b[0m eta: 2:34:29  iter: 11439  total_loss: 0.3554  loss_cls: 0.03912  loss_box_reg: 0.07748  loss_mask: 0.1966  loss_rpn_cls: 0.004945  loss_rpn_loc: 0.02564  time: 0.3198  data_time: 0.1157  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:25:22 d2.utils.events]: \u001b[0m eta: 2:34:16  iter: 11459  total_loss: 0.2995  loss_cls: 0.03093  loss_box_reg: 0.05038  loss_mask: 0.1782  loss_rpn_cls: 0.004934  loss_rpn_loc: 0.02466  time: 0.3198  data_time: 0.1151  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:25:28 d2.utils.events]: \u001b[0m eta: 2:34:01  iter: 11479  total_loss: 0.3  loss_cls: 0.03138  loss_box_reg: 0.0537  loss_mask: 0.184  loss_rpn_cls: 0.004243  loss_rpn_loc: 0.02194  time: 0.3198  data_time: 0.1155  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:25:35 d2.utils.events]: \u001b[0m eta: 2:34:00  iter: 11499  total_loss: 0.3899  loss_cls: 0.04314  loss_box_reg: 0.06494  loss_mask: 0.2056  loss_rpn_cls: 0.005841  loss_rpn_loc: 0.03523  time: 0.3198  data_time: 0.1156  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:25:41 d2.utils.events]: \u001b[0m eta: 2:33:51  iter: 11519  total_loss: 0.2869  loss_cls: 0.0278  loss_box_reg: 0.05738  loss_mask: 0.1861  loss_rpn_cls: 0.003139  loss_rpn_loc: 0.02562  time: 0.3198  data_time: 0.1152  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:25:48 d2.utils.events]: \u001b[0m eta: 2:33:56  iter: 11539  total_loss: 0.3447  loss_cls: 0.02805  loss_box_reg: 0.05996  loss_mask: 0.1854  loss_rpn_cls: 0.002251  loss_rpn_loc: 0.0308  time: 0.3199  data_time: 0.1171  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:25:54 d2.utils.events]: \u001b[0m eta: 2:33:47  iter: 11559  total_loss: 0.3502  loss_cls: 0.03181  loss_box_reg: 0.05151  loss_mask: 0.217  loss_rpn_cls: 0.004942  loss_rpn_loc: 0.03569  time: 0.3198  data_time: 0.1147  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:26:00 d2.utils.events]: \u001b[0m eta: 2:33:34  iter: 11579  total_loss: 0.3152  loss_cls: 0.03206  loss_box_reg: 0.05869  loss_mask: 0.1775  loss_rpn_cls: 0.001317  loss_rpn_loc: 0.02692  time: 0.3198  data_time: 0.1153  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:26:07 d2.utils.events]: \u001b[0m eta: 2:33:26  iter: 11599  total_loss: 0.3042  loss_cls: 0.03175  loss_box_reg: 0.06125  loss_mask: 0.1778  loss_rpn_cls: 0.005276  loss_rpn_loc: 0.0245  time: 0.3199  data_time: 0.1151  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:26:14 d2.utils.events]: \u001b[0m eta: 2:33:19  iter: 11619  total_loss: 0.3452  loss_cls: 0.03099  loss_box_reg: 0.0614  loss_mask: 0.2022  loss_rpn_cls: 0.005917  loss_rpn_loc: 0.02918  time: 0.3199  data_time: 0.1157  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:26:20 d2.utils.events]: \u001b[0m eta: 2:33:15  iter: 11639  total_loss: 0.291  loss_cls: 0.0266  loss_box_reg: 0.05377  loss_mask: 0.1845  loss_rpn_cls: 0.002634  loss_rpn_loc: 0.01944  time: 0.3199  data_time: 0.1154  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:26:26 d2.utils.events]: \u001b[0m eta: 2:33:06  iter: 11659  total_loss: 0.3047  loss_cls: 0.03465  loss_box_reg: 0.05381  loss_mask: 0.1858  loss_rpn_cls: 0.00584  loss_rpn_loc: 0.02406  time: 0.3199  data_time: 0.1147  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:26:33 d2.utils.events]: \u001b[0m eta: 2:33:09  iter: 11679  total_loss: 0.3534  loss_cls: 0.03798  loss_box_reg: 0.08501  loss_mask: 0.1948  loss_rpn_cls: 0.003784  loss_rpn_loc: 0.02777  time: 0.3199  data_time: 0.1153  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:26:40 d2.utils.events]: \u001b[0m eta: 2:33:07  iter: 11699  total_loss: 0.3072  loss_cls: 0.03228  loss_box_reg: 0.06566  loss_mask: 0.1736  loss_rpn_cls: 0.002257  loss_rpn_loc: 0.02369  time: 0.3199  data_time: 0.1167  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:26:46 d2.utils.events]: \u001b[0m eta: 2:33:12  iter: 11719  total_loss: 0.3388  loss_cls: 0.03507  loss_box_reg: 0.0597  loss_mask: 0.1995  loss_rpn_cls: 0.004956  loss_rpn_loc: 0.02198  time: 0.3199  data_time: 0.1170  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:26:53 d2.utils.events]: \u001b[0m eta: 2:33:07  iter: 11739  total_loss: 0.3263  loss_cls: 0.03554  loss_box_reg: 0.05312  loss_mask: 0.1922  loss_rpn_cls: 0.002398  loss_rpn_loc: 0.02766  time: 0.3199  data_time: 0.1157  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:26:59 d2.utils.events]: \u001b[0m eta: 2:32:55  iter: 11759  total_loss: 0.2887  loss_cls: 0.02872  loss_box_reg: 0.05819  loss_mask: 0.1621  loss_rpn_cls: 0.003586  loss_rpn_loc: 0.02221  time: 0.3199  data_time: 0.1144  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:27:06 d2.utils.events]: \u001b[0m eta: 2:32:42  iter: 11779  total_loss: 0.3231  loss_cls: 0.03424  loss_box_reg: 0.0612  loss_mask: 0.2137  loss_rpn_cls: 0.003966  loss_rpn_loc: 0.02958  time: 0.3199  data_time: 0.1147  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:27:12 d2.utils.events]: \u001b[0m eta: 2:32:46  iter: 11799  total_loss: 0.3256  loss_cls: 0.03863  loss_box_reg: 0.06276  loss_mask: 0.2027  loss_rpn_cls: 0.003364  loss_rpn_loc: 0.02861  time: 0.3200  data_time: 0.1145  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:27:19 d2.utils.events]: \u001b[0m eta: 2:32:46  iter: 11819  total_loss: 0.34  loss_cls: 0.02795  loss_box_reg: 0.0555  loss_mask: 0.2064  loss_rpn_cls: 0.005448  loss_rpn_loc: 0.03309  time: 0.3200  data_time: 0.1155  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:27:25 d2.utils.events]: \u001b[0m eta: 2:32:41  iter: 11839  total_loss: 0.3004  loss_cls: 0.03122  loss_box_reg: 0.05214  loss_mask: 0.2004  loss_rpn_cls: 0.004996  loss_rpn_loc: 0.02285  time: 0.3200  data_time: 0.1138  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:27:32 d2.utils.events]: \u001b[0m eta: 2:32:34  iter: 11859  total_loss: 0.3596  loss_cls: 0.03666  loss_box_reg: 0.05936  loss_mask: 0.1972  loss_rpn_cls: 0.003285  loss_rpn_loc: 0.03019  time: 0.3200  data_time: 0.1143  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:27:38 d2.utils.events]: \u001b[0m eta: 2:32:31  iter: 11879  total_loss: 0.3615  loss_cls: 0.0392  loss_box_reg: 0.0716  loss_mask: 0.1969  loss_rpn_cls: 0.003147  loss_rpn_loc: 0.03557  time: 0.3200  data_time: 0.1147  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:27:45 d2.utils.events]: \u001b[0m eta: 2:32:29  iter: 11899  total_loss: 0.3454  loss_cls: 0.03691  loss_box_reg: 0.06701  loss_mask: 0.1914  loss_rpn_cls: 0.003059  loss_rpn_loc: 0.02824  time: 0.3200  data_time: 0.1163  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:27:52 d2.utils.events]: \u001b[0m eta: 2:32:36  iter: 11919  total_loss: 0.3597  loss_cls: 0.03718  loss_box_reg: 0.06239  loss_mask: 0.2129  loss_rpn_cls: 0.002779  loss_rpn_loc: 0.02954  time: 0.3201  data_time: 0.1155  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:28:00 d2.utils.events]: \u001b[0m eta: 2:32:41  iter: 11939  total_loss: 0.3439  loss_cls: 0.03987  loss_box_reg: 0.07019  loss_mask: 0.196  loss_rpn_cls: 0.003911  loss_rpn_loc: 0.03379  time: 0.3202  data_time: 0.1151  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:28:07 d2.utils.events]: \u001b[0m eta: 2:32:36  iter: 11959  total_loss: 0.3299  loss_cls: 0.03719  loss_box_reg: 0.06325  loss_mask: 0.1791  loss_rpn_cls: 0.002745  loss_rpn_loc: 0.02768  time: 0.3202  data_time: 0.1165  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:28:14 d2.utils.events]: \u001b[0m eta: 2:32:32  iter: 11979  total_loss: 0.2803  loss_cls: 0.02504  loss_box_reg: 0.05088  loss_mask: 0.1775  loss_rpn_cls: 0.002591  loss_rpn_loc: 0.02127  time: 0.3203  data_time: 0.1164  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:28:20 d2.utils.events]: \u001b[0m eta: 2:32:24  iter: 11999  total_loss: 0.2994  loss_cls: 0.0285  loss_box_reg: 0.06253  loss_mask: 0.1889  loss_rpn_cls: 0.004339  loss_rpn_loc: 0.02357  time: 0.3203  data_time: 0.1138  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:28:26 d2.utils.events]: \u001b[0m eta: 2:32:14  iter: 12019  total_loss: 0.3418  loss_cls: 0.03555  loss_box_reg: 0.06798  loss_mask: 0.1993  loss_rpn_cls: 0.005419  loss_rpn_loc: 0.03084  time: 0.3203  data_time: 0.1137  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:28:33 d2.utils.events]: \u001b[0m eta: 2:32:14  iter: 12039  total_loss: 0.3527  loss_cls: 0.04215  loss_box_reg: 0.06834  loss_mask: 0.1944  loss_rpn_cls: 0.005357  loss_rpn_loc: 0.02543  time: 0.3203  data_time: 0.1144  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:28:40 d2.utils.events]: \u001b[0m eta: 2:32:00  iter: 12059  total_loss: 0.3045  loss_cls: 0.03307  loss_box_reg: 0.06063  loss_mask: 0.1809  loss_rpn_cls: 0.003139  loss_rpn_loc: 0.02516  time: 0.3203  data_time: 0.1145  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:28:46 d2.utils.events]: \u001b[0m eta: 2:31:51  iter: 12079  total_loss: 0.2943  loss_cls: 0.03051  loss_box_reg: 0.05641  loss_mask: 0.1759  loss_rpn_cls: 0.004362  loss_rpn_loc: 0.02607  time: 0.3203  data_time: 0.1154  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:28:52 d2.utils.events]: \u001b[0m eta: 2:31:50  iter: 12099  total_loss: 0.3215  loss_cls: 0.03817  loss_box_reg: 0.06916  loss_mask: 0.1861  loss_rpn_cls: 0.002563  loss_rpn_loc: 0.02321  time: 0.3203  data_time: 0.1140  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:28:59 d2.utils.events]: \u001b[0m eta: 2:31:55  iter: 12119  total_loss: 0.3419  loss_cls: 0.03125  loss_box_reg: 0.05625  loss_mask: 0.2285  loss_rpn_cls: 0.002846  loss_rpn_loc: 0.03775  time: 0.3203  data_time: 0.1144  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:29:05 d2.utils.events]: \u001b[0m eta: 2:31:49  iter: 12139  total_loss: 0.2849  loss_cls: 0.03078  loss_box_reg: 0.04947  loss_mask: 0.1923  loss_rpn_cls: 0.001824  loss_rpn_loc: 0.01831  time: 0.3203  data_time: 0.1131  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:29:12 d2.utils.events]: \u001b[0m eta: 2:31:37  iter: 12159  total_loss: 0.3732  loss_cls: 0.04088  loss_box_reg: 0.05773  loss_mask: 0.2264  loss_rpn_cls: 0.00293  loss_rpn_loc: 0.03465  time: 0.3203  data_time: 0.1146  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:29:18 d2.utils.events]: \u001b[0m eta: 2:31:30  iter: 12179  total_loss: 0.3221  loss_cls: 0.03306  loss_box_reg: 0.06671  loss_mask: 0.1941  loss_rpn_cls: 0.002489  loss_rpn_loc: 0.03094  time: 0.3203  data_time: 0.1158  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:29:25 d2.utils.events]: \u001b[0m eta: 2:31:25  iter: 12199  total_loss: 0.2979  loss_cls: 0.03675  loss_box_reg: 0.06759  loss_mask: 0.1668  loss_rpn_cls: 0.007308  loss_rpn_loc: 0.02091  time: 0.3203  data_time: 0.1141  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:29:31 d2.utils.events]: \u001b[0m eta: 2:31:17  iter: 12219  total_loss: 0.3226  loss_cls: 0.03879  loss_box_reg: 0.06614  loss_mask: 0.194  loss_rpn_cls: 0.002635  loss_rpn_loc: 0.02527  time: 0.3203  data_time: 0.1131  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:29:38 d2.utils.events]: \u001b[0m eta: 2:31:17  iter: 12239  total_loss: 0.328  loss_cls: 0.03145  loss_box_reg: 0.06477  loss_mask: 0.1828  loss_rpn_cls: 0.002256  loss_rpn_loc: 0.03336  time: 0.3203  data_time: 0.1157  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:29:44 d2.utils.events]: \u001b[0m eta: 2:31:09  iter: 12259  total_loss: 0.3235  loss_cls: 0.03228  loss_box_reg: 0.06687  loss_mask: 0.2074  loss_rpn_cls: 0.001972  loss_rpn_loc: 0.02965  time: 0.3203  data_time: 0.1145  lr: 0.00025  max_mem: 2052M\n",
      "\u001b[32m[12/15 10:29:51 d2.utils.events]: \u001b[0m eta: 2:30:56  iter: 12279  total_loss: 0.3299  loss_cls: 0.03933  loss_box_reg: 0.06748  loss_mask: 0.1982  loss_rpn_cls: 0.005469  loss_rpn_loc: 0.02772  time: 0.3203  data_time: 0.1135  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:29:57 d2.utils.events]: \u001b[0m eta: 2:30:49  iter: 12299  total_loss: 0.3407  loss_cls: 0.03723  loss_box_reg: 0.05926  loss_mask: 0.1942  loss_rpn_cls: 0.003745  loss_rpn_loc: 0.02925  time: 0.3203  data_time: 0.1143  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:30:03 d2.utils.events]: \u001b[0m eta: 2:30:34  iter: 12319  total_loss: 0.3166  loss_cls: 0.03058  loss_box_reg: 0.05979  loss_mask: 0.1845  loss_rpn_cls: 0.01047  loss_rpn_loc: 0.03184  time: 0.3203  data_time: 0.1138  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:30:10 d2.utils.events]: \u001b[0m eta: 2:30:23  iter: 12339  total_loss: 0.321  loss_cls: 0.0346  loss_box_reg: 0.06186  loss_mask: 0.1846  loss_rpn_cls: 0.001305  loss_rpn_loc: 0.03488  time: 0.3203  data_time: 0.1145  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:30:16 d2.utils.events]: \u001b[0m eta: 2:30:00  iter: 12359  total_loss: 0.3171  loss_cls: 0.03584  loss_box_reg: 0.06359  loss_mask: 0.2016  loss_rpn_cls: 0.005837  loss_rpn_loc: 0.02673  time: 0.3203  data_time: 0.1144  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:30:22 d2.utils.events]: \u001b[0m eta: 2:29:50  iter: 12379  total_loss: 0.3807  loss_cls: 0.03982  loss_box_reg: 0.06422  loss_mask: 0.2172  loss_rpn_cls: 0.00384  loss_rpn_loc: 0.02055  time: 0.3203  data_time: 0.1149  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:30:29 d2.utils.events]: \u001b[0m eta: 2:29:39  iter: 12399  total_loss: 0.3618  loss_cls: 0.03492  loss_box_reg: 0.06799  loss_mask: 0.1793  loss_rpn_cls: 0.003361  loss_rpn_loc: 0.02354  time: 0.3203  data_time: 0.1150  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:30:35 d2.utils.events]: \u001b[0m eta: 2:29:33  iter: 12419  total_loss: 0.2886  loss_cls: 0.02959  loss_box_reg: 0.05206  loss_mask: 0.1593  loss_rpn_cls: 0.004223  loss_rpn_loc: 0.02276  time: 0.3203  data_time: 0.1138  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:30:42 d2.utils.events]: \u001b[0m eta: 2:29:15  iter: 12439  total_loss: 0.3339  loss_cls: 0.03745  loss_box_reg: 0.05754  loss_mask: 0.2073  loss_rpn_cls: 0.005039  loss_rpn_loc: 0.0308  time: 0.3203  data_time: 0.1139  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:30:48 d2.utils.events]: \u001b[0m eta: 2:29:20  iter: 12459  total_loss: 0.3143  loss_cls: 0.02794  loss_box_reg: 0.05293  loss_mask: 0.1942  loss_rpn_cls: 0.001394  loss_rpn_loc: 0.02188  time: 0.3203  data_time: 0.1151  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:30:55 d2.utils.events]: \u001b[0m eta: 2:29:13  iter: 12479  total_loss: 0.3263  loss_cls: 0.03184  loss_box_reg: 0.05062  loss_mask: 0.1955  loss_rpn_cls: 0.003277  loss_rpn_loc: 0.0283  time: 0.3203  data_time: 0.1146  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:31:01 d2.utils.events]: \u001b[0m eta: 2:28:56  iter: 12499  total_loss: 0.3677  loss_cls: 0.04223  loss_box_reg: 0.06687  loss_mask: 0.1922  loss_rpn_cls: 0.005037  loss_rpn_loc: 0.03748  time: 0.3203  data_time: 0.1150  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:31:07 d2.utils.events]: \u001b[0m eta: 2:28:50  iter: 12519  total_loss: 0.3229  loss_cls: 0.03378  loss_box_reg: 0.06496  loss_mask: 0.1845  loss_rpn_cls: 0.001861  loss_rpn_loc: 0.02962  time: 0.3203  data_time: 0.1154  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:31:14 d2.utils.events]: \u001b[0m eta: 2:28:32  iter: 12539  total_loss: 0.3052  loss_cls: 0.02998  loss_box_reg: 0.05948  loss_mask: 0.1734  loss_rpn_cls: 0.004042  loss_rpn_loc: 0.02664  time: 0.3203  data_time: 0.1155  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:31:20 d2.utils.events]: \u001b[0m eta: 2:28:31  iter: 12559  total_loss: 0.3268  loss_cls: 0.03607  loss_box_reg: 0.06259  loss_mask: 0.1659  loss_rpn_cls: 0.0022  loss_rpn_loc: 0.03396  time: 0.3203  data_time: 0.1142  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:31:27 d2.utils.events]: \u001b[0m eta: 2:28:29  iter: 12579  total_loss: 0.3119  loss_cls: 0.0321  loss_box_reg: 0.0601  loss_mask: 0.1859  loss_rpn_cls: 0.005016  loss_rpn_loc: 0.02801  time: 0.3203  data_time: 0.1147  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:31:33 d2.utils.events]: \u001b[0m eta: 2:28:23  iter: 12599  total_loss: 0.322  loss_cls: 0.03544  loss_box_reg: 0.05853  loss_mask: 0.1884  loss_rpn_cls: 0.002143  loss_rpn_loc: 0.02488  time: 0.3203  data_time: 0.1151  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:31:40 d2.utils.events]: \u001b[0m eta: 2:28:13  iter: 12619  total_loss: 0.3107  loss_cls: 0.03181  loss_box_reg: 0.05848  loss_mask: 0.1865  loss_rpn_cls: 0.004161  loss_rpn_loc: 0.0236  time: 0.3203  data_time: 0.1136  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:31:46 d2.utils.events]: \u001b[0m eta: 2:28:08  iter: 12639  total_loss: 0.3199  loss_cls: 0.02345  loss_box_reg: 0.04498  loss_mask: 0.19  loss_rpn_cls: 0.002678  loss_rpn_loc: 0.0265  time: 0.3203  data_time: 0.1163  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:31:53 d2.utils.events]: \u001b[0m eta: 2:28:14  iter: 12659  total_loss: 0.2884  loss_cls: 0.02998  loss_box_reg: 0.05479  loss_mask: 0.181  loss_rpn_cls: 0.002149  loss_rpn_loc: 0.01675  time: 0.3204  data_time: 0.1145  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:31:59 d2.utils.events]: \u001b[0m eta: 2:27:57  iter: 12679  total_loss: 0.3349  loss_cls: 0.03906  loss_box_reg: 0.07023  loss_mask: 0.1813  loss_rpn_cls: 0.005654  loss_rpn_loc: 0.02656  time: 0.3204  data_time: 0.1155  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:32:06 d2.utils.events]: \u001b[0m eta: 2:27:49  iter: 12699  total_loss: 0.3275  loss_cls: 0.02538  loss_box_reg: 0.05724  loss_mask: 0.2222  loss_rpn_cls: 0.002445  loss_rpn_loc: 0.02256  time: 0.3204  data_time: 0.1151  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:32:12 d2.utils.events]: \u001b[0m eta: 2:27:30  iter: 12719  total_loss: 0.2628  loss_cls: 0.03045  loss_box_reg: 0.05185  loss_mask: 0.1788  loss_rpn_cls: 0.002025  loss_rpn_loc: 0.01628  time: 0.3203  data_time: 0.1138  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:32:19 d2.utils.events]: \u001b[0m eta: 2:27:31  iter: 12739  total_loss: 0.3101  loss_cls: 0.03466  loss_box_reg: 0.05695  loss_mask: 0.1738  loss_rpn_cls: 0.003109  loss_rpn_loc: 0.02435  time: 0.3204  data_time: 0.1153  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:32:25 d2.utils.events]: \u001b[0m eta: 2:27:29  iter: 12759  total_loss: 0.308  loss_cls: 0.03116  loss_box_reg: 0.05697  loss_mask: 0.1811  loss_rpn_cls: 0.00339  loss_rpn_loc: 0.02616  time: 0.3204  data_time: 0.1153  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:32:32 d2.utils.events]: \u001b[0m eta: 2:27:22  iter: 12779  total_loss: 0.2862  loss_cls: 0.02244  loss_box_reg: 0.04983  loss_mask: 0.1792  loss_rpn_cls: 0.003483  loss_rpn_loc: 0.02187  time: 0.3204  data_time: 0.1135  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:32:39 d2.utils.events]: \u001b[0m eta: 2:27:19  iter: 12799  total_loss: 0.3286  loss_cls: 0.03299  loss_box_reg: 0.05888  loss_mask: 0.2027  loss_rpn_cls: 0.002941  loss_rpn_loc: 0.02689  time: 0.3204  data_time: 0.1159  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:32:45 d2.utils.events]: \u001b[0m eta: 2:27:20  iter: 12819  total_loss: 0.3216  loss_cls: 0.02953  loss_box_reg: 0.05396  loss_mask: 0.1961  loss_rpn_cls: 0.004749  loss_rpn_loc: 0.02494  time: 0.3204  data_time: 0.1159  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:32:52 d2.utils.events]: \u001b[0m eta: 2:27:13  iter: 12839  total_loss: 0.3262  loss_cls: 0.03553  loss_box_reg: 0.05974  loss_mask: 0.1885  loss_rpn_cls: 0.00459  loss_rpn_loc: 0.02447  time: 0.3205  data_time: 0.1159  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:32:59 d2.utils.events]: \u001b[0m eta: 2:27:26  iter: 12859  total_loss: 0.335  loss_cls: 0.03064  loss_box_reg: 0.06004  loss_mask: 0.196  loss_rpn_cls: 0.003541  loss_rpn_loc: 0.03417  time: 0.3205  data_time: 0.1168  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:33:06 d2.utils.events]: \u001b[0m eta: 2:27:22  iter: 12879  total_loss: 0.2552  loss_cls: 0.0344  loss_box_reg: 0.0528  loss_mask: 0.1579  loss_rpn_cls: 0.002233  loss_rpn_loc: 0.01826  time: 0.3205  data_time: 0.1152  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:33:13 d2.utils.events]: \u001b[0m eta: 2:27:19  iter: 12899  total_loss: 0.3085  loss_cls: 0.03634  loss_box_reg: 0.05599  loss_mask: 0.1776  loss_rpn_cls: 0.006299  loss_rpn_loc: 0.02988  time: 0.3206  data_time: 0.1150  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:33:19 d2.utils.events]: \u001b[0m eta: 2:27:05  iter: 12919  total_loss: 0.323  loss_cls: 0.02544  loss_box_reg: 0.05991  loss_mask: 0.1834  loss_rpn_cls: 0.002616  loss_rpn_loc: 0.02529  time: 0.3206  data_time: 0.1148  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:33:26 d2.utils.events]: \u001b[0m eta: 2:26:46  iter: 12939  total_loss: 0.2963  loss_cls: 0.03102  loss_box_reg: 0.04722  loss_mask: 0.1785  loss_rpn_cls: 0.003027  loss_rpn_loc: 0.03187  time: 0.3206  data_time: 0.1145  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:33:33 d2.utils.events]: \u001b[0m eta: 2:26:34  iter: 12959  total_loss: 0.2832  loss_cls: 0.02716  loss_box_reg: 0.06  loss_mask: 0.1643  loss_rpn_cls: 0.002193  loss_rpn_loc: 0.0207  time: 0.3206  data_time: 0.1143  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:33:39 d2.utils.events]: \u001b[0m eta: 2:26:14  iter: 12979  total_loss: 0.2768  loss_cls: 0.03457  loss_box_reg: 0.05511  loss_mask: 0.1722  loss_rpn_cls: 0.002087  loss_rpn_loc: 0.0288  time: 0.3206  data_time: 0.1142  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:33:46 d2.utils.events]: \u001b[0m eta: 2:26:11  iter: 12999  total_loss: 0.3567  loss_cls: 0.03371  loss_box_reg: 0.06792  loss_mask: 0.1919  loss_rpn_cls: 0.004128  loss_rpn_loc: 0.0325  time: 0.3206  data_time: 0.1153  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:33:52 d2.utils.events]: \u001b[0m eta: 2:26:10  iter: 13019  total_loss: 0.3865  loss_cls: 0.04159  loss_box_reg: 0.06123  loss_mask: 0.2067  loss_rpn_cls: 0.004674  loss_rpn_loc: 0.02974  time: 0.3206  data_time: 0.1149  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:33:59 d2.utils.events]: \u001b[0m eta: 2:26:02  iter: 13039  total_loss: 0.2523  loss_cls: 0.02224  loss_box_reg: 0.04805  loss_mask: 0.1658  loss_rpn_cls: 0.001228  loss_rpn_loc: 0.0147  time: 0.3207  data_time: 0.1142  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:34:06 d2.utils.events]: \u001b[0m eta: 2:26:11  iter: 13059  total_loss: 0.3646  loss_cls: 0.03199  loss_box_reg: 0.068  loss_mask: 0.209  loss_rpn_cls: 0.003075  loss_rpn_loc: 0.02292  time: 0.3207  data_time: 0.1139  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:34:12 d2.utils.events]: \u001b[0m eta: 2:26:04  iter: 13079  total_loss: 0.3275  loss_cls: 0.02747  loss_box_reg: 0.05745  loss_mask: 0.2043  loss_rpn_cls: 0.006048  loss_rpn_loc: 0.02828  time: 0.3207  data_time: 0.1143  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:34:19 d2.utils.events]: \u001b[0m eta: 2:25:54  iter: 13099  total_loss: 0.3094  loss_cls: 0.03561  loss_box_reg: 0.06117  loss_mask: 0.1861  loss_rpn_cls: 0.004433  loss_rpn_loc: 0.02765  time: 0.3207  data_time: 0.1153  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:34:25 d2.utils.events]: \u001b[0m eta: 2:25:32  iter: 13119  total_loss: 0.2797  loss_cls: 0.02463  loss_box_reg: 0.04439  loss_mask: 0.1819  loss_rpn_cls: 0.006652  loss_rpn_loc: 0.01936  time: 0.3207  data_time: 0.1149  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:34:31 d2.utils.events]: \u001b[0m eta: 2:25:28  iter: 13139  total_loss: 0.2567  loss_cls: 0.02998  loss_box_reg: 0.05112  loss_mask: 0.1619  loss_rpn_cls: 0.005071  loss_rpn_loc: 0.0268  time: 0.3207  data_time: 0.1166  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:34:38 d2.utils.events]: \u001b[0m eta: 2:25:29  iter: 13159  total_loss: 0.3069  loss_cls: 0.02907  loss_box_reg: 0.04403  loss_mask: 0.1925  loss_rpn_cls: 0.003561  loss_rpn_loc: 0.02101  time: 0.3207  data_time: 0.1148  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:34:45 d2.utils.events]: \u001b[0m eta: 2:25:17  iter: 13179  total_loss: 0.3511  loss_cls: 0.0388  loss_box_reg: 0.0674  loss_mask: 0.197  loss_rpn_cls: 0.008421  loss_rpn_loc: 0.02586  time: 0.3207  data_time: 0.1152  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:34:52 d2.utils.events]: \u001b[0m eta: 2:25:26  iter: 13199  total_loss: 0.3442  loss_cls: 0.0356  loss_box_reg: 0.06543  loss_mask: 0.1959  loss_rpn_cls: 0.003572  loss_rpn_loc: 0.02642  time: 0.3208  data_time: 0.1152  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:34:58 d2.utils.events]: \u001b[0m eta: 2:25:27  iter: 13219  total_loss: 0.2818  loss_cls: 0.02959  loss_box_reg: 0.06315  loss_mask: 0.1798  loss_rpn_cls: 0.00251  loss_rpn_loc: 0.01857  time: 0.3208  data_time: 0.1148  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:35:05 d2.utils.events]: \u001b[0m eta: 2:25:20  iter: 13239  total_loss: 0.3089  loss_cls: 0.03262  loss_box_reg: 0.05621  loss_mask: 0.1765  loss_rpn_cls: 0.003084  loss_rpn_loc: 0.02717  time: 0.3208  data_time: 0.1161  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:35:12 d2.utils.events]: \u001b[0m eta: 2:25:20  iter: 13259  total_loss: 0.3063  loss_cls: 0.04078  loss_box_reg: 0.07482  loss_mask: 0.1766  loss_rpn_cls: 0.002178  loss_rpn_loc: 0.02502  time: 0.3208  data_time: 0.1158  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:35:19 d2.utils.events]: \u001b[0m eta: 2:25:31  iter: 13279  total_loss: 0.3452  loss_cls: 0.02858  loss_box_reg: 0.06741  loss_mask: 0.1805  loss_rpn_cls: 0.002679  loss_rpn_loc: 0.03512  time: 0.3209  data_time: 0.1162  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:35:26 d2.utils.events]: \u001b[0m eta: 2:25:48  iter: 13299  total_loss: 0.3357  loss_cls: 0.03293  loss_box_reg: 0.06835  loss_mask: 0.1958  loss_rpn_cls: 0.003319  loss_rpn_loc: 0.02848  time: 0.3209  data_time: 0.1180  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:35:33 d2.utils.events]: \u001b[0m eta: 2:26:13  iter: 13319  total_loss: 0.2924  loss_cls: 0.0272  loss_box_reg: 0.05638  loss_mask: 0.1806  loss_rpn_cls: 0.006482  loss_rpn_loc: 0.02663  time: 0.3210  data_time: 0.1156  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:35:40 d2.utils.events]: \u001b[0m eta: 2:26:09  iter: 13339  total_loss: 0.2783  loss_cls: 0.02625  loss_box_reg: 0.05296  loss_mask: 0.1726  loss_rpn_cls: 0.004249  loss_rpn_loc: 0.01921  time: 0.3210  data_time: 0.1146  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:35:46 d2.utils.events]: \u001b[0m eta: 2:26:02  iter: 13359  total_loss: 0.371  loss_cls: 0.02955  loss_box_reg: 0.06608  loss_mask: 0.1862  loss_rpn_cls: 0.002605  loss_rpn_loc: 0.02634  time: 0.3210  data_time: 0.1149  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:35:53 d2.utils.events]: \u001b[0m eta: 2:25:54  iter: 13379  total_loss: 0.3034  loss_cls: 0.0358  loss_box_reg: 0.0601  loss_mask: 0.182  loss_rpn_cls: 0.002396  loss_rpn_loc: 0.02307  time: 0.3210  data_time: 0.1140  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:35:59 d2.utils.events]: \u001b[0m eta: 2:25:50  iter: 13399  total_loss: 0.307  loss_cls: 0.02887  loss_box_reg: 0.0544  loss_mask: 0.181  loss_rpn_cls: 0.005711  loss_rpn_loc: 0.02696  time: 0.3210  data_time: 0.1157  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:36:06 d2.utils.events]: \u001b[0m eta: 2:25:49  iter: 13419  total_loss: 0.2908  loss_cls: 0.03012  loss_box_reg: 0.05332  loss_mask: 0.1699  loss_rpn_cls: 0.002862  loss_rpn_loc: 0.02327  time: 0.3210  data_time: 0.1143  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:36:13 d2.utils.events]: \u001b[0m eta: 2:25:43  iter: 13439  total_loss: 0.3748  loss_cls: 0.03748  loss_box_reg: 0.07095  loss_mask: 0.2043  loss_rpn_cls: 0.00553  loss_rpn_loc: 0.0428  time: 0.3210  data_time: 0.1133  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:36:19 d2.utils.events]: \u001b[0m eta: 2:25:48  iter: 13459  total_loss: 0.3273  loss_cls: 0.03008  loss_box_reg: 0.05508  loss_mask: 0.2005  loss_rpn_cls: 0.003097  loss_rpn_loc: 0.02765  time: 0.3211  data_time: 0.1136  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:36:26 d2.utils.events]: \u001b[0m eta: 2:25:54  iter: 13479  total_loss: 0.3013  loss_cls: 0.02845  loss_box_reg: 0.06602  loss_mask: 0.1714  loss_rpn_cls: 0.003517  loss_rpn_loc: 0.02709  time: 0.3211  data_time: 0.1140  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:36:33 d2.utils.events]: \u001b[0m eta: 2:25:51  iter: 13499  total_loss: 0.2809  loss_cls: 0.0251  loss_box_reg: 0.04548  loss_mask: 0.1817  loss_rpn_cls: 0.001209  loss_rpn_loc: 0.01479  time: 0.3211  data_time: 0.1150  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:36:40 d2.utils.events]: \u001b[0m eta: 2:25:52  iter: 13519  total_loss: 0.3082  loss_cls: 0.03279  loss_box_reg: 0.06289  loss_mask: 0.1786  loss_rpn_cls: 0.00574  loss_rpn_loc: 0.02131  time: 0.3211  data_time: 0.1156  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:36:46 d2.utils.events]: \u001b[0m eta: 2:25:56  iter: 13539  total_loss: 0.3064  loss_cls: 0.0341  loss_box_reg: 0.06096  loss_mask: 0.1761  loss_rpn_cls: 0.005165  loss_rpn_loc: 0.02484  time: 0.3212  data_time: 0.1154  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:36:53 d2.utils.events]: \u001b[0m eta: 2:25:41  iter: 13559  total_loss: 0.2829  loss_cls: 0.03058  loss_box_reg: 0.06017  loss_mask: 0.1724  loss_rpn_cls: 0.002115  loss_rpn_loc: 0.02254  time: 0.3212  data_time: 0.1154  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:36:59 d2.utils.events]: \u001b[0m eta: 2:25:41  iter: 13579  total_loss: 0.343  loss_cls: 0.03943  loss_box_reg: 0.07598  loss_mask: 0.1953  loss_rpn_cls: 0.003555  loss_rpn_loc: 0.02929  time: 0.3212  data_time: 0.1149  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:37:06 d2.utils.events]: \u001b[0m eta: 2:25:36  iter: 13599  total_loss: 0.3294  loss_cls: 0.03298  loss_box_reg: 0.06141  loss_mask: 0.1776  loss_rpn_cls: 0.004305  loss_rpn_loc: 0.02591  time: 0.3212  data_time: 0.1144  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:37:12 d2.utils.events]: \u001b[0m eta: 2:25:32  iter: 13619  total_loss: 0.2813  loss_cls: 0.02218  loss_box_reg: 0.04071  loss_mask: 0.1813  loss_rpn_cls: 0.004798  loss_rpn_loc: 0.02526  time: 0.3212  data_time: 0.1139  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:37:19 d2.utils.events]: \u001b[0m eta: 2:25:20  iter: 13639  total_loss: 0.298  loss_cls: 0.03819  loss_box_reg: 0.05655  loss_mask: 0.1687  loss_rpn_cls: 0.004259  loss_rpn_loc: 0.02442  time: 0.3212  data_time: 0.1149  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:37:25 d2.utils.events]: \u001b[0m eta: 2:25:03  iter: 13659  total_loss: 0.3085  loss_cls: 0.03137  loss_box_reg: 0.06264  loss_mask: 0.185  loss_rpn_cls: 0.004187  loss_rpn_loc: 0.02857  time: 0.3212  data_time: 0.1156  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:37:31 d2.utils.events]: \u001b[0m eta: 2:24:50  iter: 13679  total_loss: 0.2932  loss_cls: 0.02446  loss_box_reg: 0.05192  loss_mask: 0.2029  loss_rpn_cls: 0.002204  loss_rpn_loc: 0.02948  time: 0.3212  data_time: 0.1143  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:37:38 d2.utils.events]: \u001b[0m eta: 2:24:44  iter: 13699  total_loss: 0.3434  loss_cls: 0.03987  loss_box_reg: 0.08184  loss_mask: 0.1963  loss_rpn_cls: 0.003202  loss_rpn_loc: 0.03286  time: 0.3212  data_time: 0.1137  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:37:44 d2.utils.events]: \u001b[0m eta: 2:24:43  iter: 13719  total_loss: 0.2743  loss_cls: 0.02268  loss_box_reg: 0.04956  loss_mask: 0.1561  loss_rpn_cls: 0.003281  loss_rpn_loc: 0.02264  time: 0.3212  data_time: 0.1146  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:37:51 d2.utils.events]: \u001b[0m eta: 2:24:40  iter: 13739  total_loss: 0.319  loss_cls: 0.03342  loss_box_reg: 0.05713  loss_mask: 0.1869  loss_rpn_cls: 0.003524  loss_rpn_loc: 0.02893  time: 0.3212  data_time: 0.1150  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:37:58 d2.utils.events]: \u001b[0m eta: 2:24:38  iter: 13759  total_loss: 0.3366  loss_cls: 0.0331  loss_box_reg: 0.06409  loss_mask: 0.1852  loss_rpn_cls: 0.002657  loss_rpn_loc: 0.02559  time: 0.3212  data_time: 0.1150  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:38:04 d2.utils.events]: \u001b[0m eta: 2:24:30  iter: 13779  total_loss: 0.2549  loss_cls: 0.02316  loss_box_reg: 0.04365  loss_mask: 0.1606  loss_rpn_cls: 0.00191  loss_rpn_loc: 0.01533  time: 0.3212  data_time: 0.1145  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:38:11 d2.utils.events]: \u001b[0m eta: 2:24:11  iter: 13799  total_loss: 0.3388  loss_cls: 0.03592  loss_box_reg: 0.06298  loss_mask: 0.1909  loss_rpn_cls: 0.002364  loss_rpn_loc: 0.03016  time: 0.3212  data_time: 0.1132  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:38:17 d2.utils.events]: \u001b[0m eta: 2:23:58  iter: 13819  total_loss: 0.3801  loss_cls: 0.03545  loss_box_reg: 0.0647  loss_mask: 0.1954  loss_rpn_cls: 0.004079  loss_rpn_loc: 0.04184  time: 0.3212  data_time: 0.1148  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:38:24 d2.utils.events]: \u001b[0m eta: 2:23:54  iter: 13839  total_loss: 0.3211  loss_cls: 0.03355  loss_box_reg: 0.05075  loss_mask: 0.187  loss_rpn_cls: 0.004671  loss_rpn_loc: 0.02785  time: 0.3213  data_time: 0.1155  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:38:31 d2.utils.events]: \u001b[0m eta: 2:23:45  iter: 13859  total_loss: 0.3381  loss_cls: 0.03787  loss_box_reg: 0.06508  loss_mask: 0.1716  loss_rpn_cls: 0.004219  loss_rpn_loc: 0.02283  time: 0.3213  data_time: 0.1145  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:38:38 d2.utils.events]: \u001b[0m eta: 2:23:30  iter: 13879  total_loss: 0.3012  loss_cls: 0.02677  loss_box_reg: 0.05978  loss_mask: 0.1777  loss_rpn_cls: 0.002811  loss_rpn_loc: 0.02656  time: 0.3213  data_time: 0.1145  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:38:45 d2.utils.events]: \u001b[0m eta: 2:23:23  iter: 13899  total_loss: 0.3118  loss_cls: 0.02834  loss_box_reg: 0.05241  loss_mask: 0.181  loss_rpn_cls: 0.001395  loss_rpn_loc: 0.02552  time: 0.3213  data_time: 0.1164  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:38:51 d2.utils.events]: \u001b[0m eta: 2:23:08  iter: 13919  total_loss: 0.3432  loss_cls: 0.03162  loss_box_reg: 0.05969  loss_mask: 0.1993  loss_rpn_cls: 0.002248  loss_rpn_loc: 0.04123  time: 0.3213  data_time: 0.1147  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:38:58 d2.utils.events]: \u001b[0m eta: 2:23:09  iter: 13939  total_loss: 0.2815  loss_cls: 0.02555  loss_box_reg: 0.05528  loss_mask: 0.1662  loss_rpn_cls: 0.003824  loss_rpn_loc: 0.02489  time: 0.3214  data_time: 0.1176  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:39:05 d2.utils.events]: \u001b[0m eta: 2:23:04  iter: 13959  total_loss: 0.2838  loss_cls: 0.03031  loss_box_reg: 0.05699  loss_mask: 0.1705  loss_rpn_cls: 0.002299  loss_rpn_loc: 0.01917  time: 0.3214  data_time: 0.1197  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:39:11 d2.utils.events]: \u001b[0m eta: 2:22:57  iter: 13979  total_loss: 0.3057  loss_cls: 0.03399  loss_box_reg: 0.06952  loss_mask: 0.2097  loss_rpn_cls: 0.006262  loss_rpn_loc: 0.02164  time: 0.3214  data_time: 0.1148  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:39:17 d2.utils.events]: \u001b[0m eta: 2:22:47  iter: 13999  total_loss: 0.3499  loss_cls: 0.03248  loss_box_reg: 0.05801  loss_mask: 0.2125  loss_rpn_cls: 0.002949  loss_rpn_loc: 0.03315  time: 0.3214  data_time: 0.1150  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:39:24 d2.utils.events]: \u001b[0m eta: 2:22:44  iter: 14019  total_loss: 0.2888  loss_cls: 0.03192  loss_box_reg: 0.06022  loss_mask: 0.1795  loss_rpn_cls: 0.003508  loss_rpn_loc: 0.02729  time: 0.3214  data_time: 0.1150  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:39:31 d2.utils.events]: \u001b[0m eta: 2:22:53  iter: 14039  total_loss: 0.2877  loss_cls: 0.02896  loss_box_reg: 0.04999  loss_mask: 0.1559  loss_rpn_cls: 0.00334  loss_rpn_loc: 0.02905  time: 0.3214  data_time: 0.1141  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:39:38 d2.utils.events]: \u001b[0m eta: 2:22:42  iter: 14059  total_loss: 0.3245  loss_cls: 0.03518  loss_box_reg: 0.07383  loss_mask: 0.1778  loss_rpn_cls: 0.00542  loss_rpn_loc: 0.03121  time: 0.3214  data_time: 0.1144  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:39:45 d2.utils.events]: \u001b[0m eta: 2:22:41  iter: 14079  total_loss: 0.3127  loss_cls: 0.03642  loss_box_reg: 0.06658  loss_mask: 0.1662  loss_rpn_cls: 0.001844  loss_rpn_loc: 0.0237  time: 0.3215  data_time: 0.1157  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:39:51 d2.utils.events]: \u001b[0m eta: 2:22:47  iter: 14099  total_loss: 0.3296  loss_cls: 0.03602  loss_box_reg: 0.06022  loss_mask: 0.2011  loss_rpn_cls: 0.004447  loss_rpn_loc: 0.02902  time: 0.3215  data_time: 0.1146  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:39:58 d2.utils.events]: \u001b[0m eta: 2:22:51  iter: 14119  total_loss: 0.3331  loss_cls: 0.03515  loss_box_reg: 0.06986  loss_mask: 0.1919  loss_rpn_cls: 0.005177  loss_rpn_loc: 0.02824  time: 0.3215  data_time: 0.1149  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:40:05 d2.utils.events]: \u001b[0m eta: 2:22:41  iter: 14139  total_loss: 0.2966  loss_cls: 0.02787  loss_box_reg: 0.05406  loss_mask: 0.1832  loss_rpn_cls: 0.007177  loss_rpn_loc: 0.02537  time: 0.3215  data_time: 0.1152  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:40:11 d2.utils.events]: \u001b[0m eta: 2:22:35  iter: 14159  total_loss: 0.328  loss_cls: 0.02929  loss_box_reg: 0.06262  loss_mask: 0.192  loss_rpn_cls: 0.001869  loss_rpn_loc: 0.02718  time: 0.3215  data_time: 0.1180  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:40:18 d2.utils.events]: \u001b[0m eta: 2:22:29  iter: 14179  total_loss: 0.2675  loss_cls: 0.0307  loss_box_reg: 0.05242  loss_mask: 0.1674  loss_rpn_cls: 0.001631  loss_rpn_loc: 0.02089  time: 0.3216  data_time: 0.1153  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:40:25 d2.utils.events]: \u001b[0m eta: 2:22:18  iter: 14199  total_loss: 0.2936  loss_cls: 0.02877  loss_box_reg: 0.06686  loss_mask: 0.1724  loss_rpn_cls: 0.003615  loss_rpn_loc: 0.02738  time: 0.3216  data_time: 0.1153  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:40:32 d2.utils.events]: \u001b[0m eta: 2:22:18  iter: 14219  total_loss: 0.3041  loss_cls: 0.02671  loss_box_reg: 0.06056  loss_mask: 0.1852  loss_rpn_cls: 0.004505  loss_rpn_loc: 0.02512  time: 0.3216  data_time: 0.1147  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:40:38 d2.utils.events]: \u001b[0m eta: 2:22:06  iter: 14239  total_loss: 0.3074  loss_cls: 0.02793  loss_box_reg: 0.06439  loss_mask: 0.1708  loss_rpn_cls: 0.003725  loss_rpn_loc: 0.02268  time: 0.3216  data_time: 0.1158  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:40:45 d2.utils.events]: \u001b[0m eta: 2:21:58  iter: 14259  total_loss: 0.3176  loss_cls: 0.02502  loss_box_reg: 0.0496  loss_mask: 0.1685  loss_rpn_cls: 0.002929  loss_rpn_loc: 0.02825  time: 0.3217  data_time: 0.1191  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:40:52 d2.utils.events]: \u001b[0m eta: 2:21:36  iter: 14279  total_loss: 0.3201  loss_cls: 0.02816  loss_box_reg: 0.0507  loss_mask: 0.2027  loss_rpn_cls: 0.001484  loss_rpn_loc: 0.02437  time: 0.3217  data_time: 0.1134  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:40:58 d2.utils.events]: \u001b[0m eta: 2:21:12  iter: 14299  total_loss: 0.274  loss_cls: 0.03695  loss_box_reg: 0.05599  loss_mask: 0.176  loss_rpn_cls: 0.001855  loss_rpn_loc: 0.01602  time: 0.3217  data_time: 0.1146  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:41:05 d2.utils.events]: \u001b[0m eta: 2:20:54  iter: 14319  total_loss: 0.2988  loss_cls: 0.02682  loss_box_reg: 0.05733  loss_mask: 0.1768  loss_rpn_cls: 0.006902  loss_rpn_loc: 0.02893  time: 0.3217  data_time: 0.1146  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:41:11 d2.utils.events]: \u001b[0m eta: 2:20:46  iter: 14339  total_loss: 0.3333  loss_cls: 0.03581  loss_box_reg: 0.06409  loss_mask: 0.1943  loss_rpn_cls: 0.004424  loss_rpn_loc: 0.02409  time: 0.3217  data_time: 0.1143  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:41:18 d2.utils.events]: \u001b[0m eta: 2:20:43  iter: 14359  total_loss: 0.2788  loss_cls: 0.02081  loss_box_reg: 0.0449  loss_mask: 0.1811  loss_rpn_cls: 0.002717  loss_rpn_loc: 0.02406  time: 0.3217  data_time: 0.1186  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:41:25 d2.utils.events]: \u001b[0m eta: 2:20:48  iter: 14379  total_loss: 0.3277  loss_cls: 0.03278  loss_box_reg: 0.06255  loss_mask: 0.1877  loss_rpn_cls: 0.002033  loss_rpn_loc: 0.03094  time: 0.3217  data_time: 0.1157  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:41:31 d2.utils.events]: \u001b[0m eta: 2:20:45  iter: 14399  total_loss: 0.3052  loss_cls: 0.03104  loss_box_reg: 0.06246  loss_mask: 0.1786  loss_rpn_cls: 0.002878  loss_rpn_loc: 0.02882  time: 0.3217  data_time: 0.1152  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:41:38 d2.utils.events]: \u001b[0m eta: 2:20:32  iter: 14419  total_loss: 0.333  loss_cls: 0.02984  loss_box_reg: 0.06338  loss_mask: 0.1887  loss_rpn_cls: 0.002666  loss_rpn_loc: 0.02802  time: 0.3217  data_time: 0.1145  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:41:45 d2.utils.events]: \u001b[0m eta: 2:20:25  iter: 14439  total_loss: 0.299  loss_cls: 0.03074  loss_box_reg: 0.07035  loss_mask: 0.1853  loss_rpn_cls: 0.003057  loss_rpn_loc: 0.02521  time: 0.3218  data_time: 0.1149  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:41:51 d2.utils.events]: \u001b[0m eta: 2:20:13  iter: 14459  total_loss: 0.3097  loss_cls: 0.04232  loss_box_reg: 0.05382  loss_mask: 0.203  loss_rpn_cls: 0.002782  loss_rpn_loc: 0.03162  time: 0.3218  data_time: 0.1157  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:41:58 d2.utils.events]: \u001b[0m eta: 2:19:56  iter: 14479  total_loss: 0.2964  loss_cls: 0.03218  loss_box_reg: 0.06862  loss_mask: 0.1763  loss_rpn_cls: 0.004186  loss_rpn_loc: 0.02546  time: 0.3218  data_time: 0.1157  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:42:04 d2.utils.events]: \u001b[0m eta: 2:19:44  iter: 14499  total_loss: 0.3436  loss_cls: 0.0285  loss_box_reg: 0.05792  loss_mask: 0.215  loss_rpn_cls: 0.003465  loss_rpn_loc: 0.02711  time: 0.3218  data_time: 0.1150  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:42:11 d2.utils.events]: \u001b[0m eta: 2:19:36  iter: 14519  total_loss: 0.3106  loss_cls: 0.03168  loss_box_reg: 0.05855  loss_mask: 0.1689  loss_rpn_cls: 0.002768  loss_rpn_loc: 0.02671  time: 0.3218  data_time: 0.1138  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:42:17 d2.utils.events]: \u001b[0m eta: 2:19:32  iter: 14539  total_loss: 0.3088  loss_cls: 0.03033  loss_box_reg: 0.05673  loss_mask: 0.1707  loss_rpn_cls: 0.001653  loss_rpn_loc: 0.02189  time: 0.3218  data_time: 0.1162  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:42:24 d2.utils.events]: \u001b[0m eta: 2:19:30  iter: 14559  total_loss: 0.345  loss_cls: 0.03202  loss_box_reg: 0.05319  loss_mask: 0.1998  loss_rpn_cls: 0.006286  loss_rpn_loc: 0.02483  time: 0.3218  data_time: 0.1164  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:42:31 d2.utils.events]: \u001b[0m eta: 2:19:24  iter: 14579  total_loss: 0.294  loss_cls: 0.02382  loss_box_reg: 0.05499  loss_mask: 0.1734  loss_rpn_cls: 0.003666  loss_rpn_loc: 0.02483  time: 0.3218  data_time: 0.1141  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:42:37 d2.utils.events]: \u001b[0m eta: 2:19:20  iter: 14599  total_loss: 0.2576  loss_cls: 0.02616  loss_box_reg: 0.04828  loss_mask: 0.167  loss_rpn_cls: 0.003079  loss_rpn_loc: 0.01887  time: 0.3218  data_time: 0.1151  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:42:44 d2.utils.events]: \u001b[0m eta: 2:19:22  iter: 14619  total_loss: 0.3249  loss_cls: 0.03491  loss_box_reg: 0.07034  loss_mask: 0.1932  loss_rpn_cls: 0.003117  loss_rpn_loc: 0.01812  time: 0.3218  data_time: 0.1163  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:42:50 d2.utils.events]: \u001b[0m eta: 2:19:17  iter: 14639  total_loss: 0.3157  loss_cls: 0.0289  loss_box_reg: 0.05036  loss_mask: 0.1755  loss_rpn_cls: 0.002739  loss_rpn_loc: 0.03151  time: 0.3218  data_time: 0.1152  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:42:57 d2.utils.events]: \u001b[0m eta: 2:19:07  iter: 14659  total_loss: 0.2821  loss_cls: 0.02885  loss_box_reg: 0.04545  loss_mask: 0.1771  loss_rpn_cls: 0.002479  loss_rpn_loc: 0.02385  time: 0.3218  data_time: 0.1149  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:43:03 d2.utils.events]: \u001b[0m eta: 2:19:09  iter: 14679  total_loss: 0.3102  loss_cls: 0.03589  loss_box_reg: 0.06463  loss_mask: 0.1888  loss_rpn_cls: 0.001538  loss_rpn_loc: 0.0264  time: 0.3219  data_time: 0.1143  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:43:10 d2.utils.events]: \u001b[0m eta: 2:19:01  iter: 14699  total_loss: 0.2514  loss_cls: 0.0218  loss_box_reg: 0.04792  loss_mask: 0.1658  loss_rpn_cls: 0.00236  loss_rpn_loc: 0.02259  time: 0.3219  data_time: 0.1146  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:43:16 d2.utils.events]: \u001b[0m eta: 2:18:54  iter: 14719  total_loss: 0.2831  loss_cls: 0.02791  loss_box_reg: 0.06069  loss_mask: 0.1658  loss_rpn_cls: 0.003854  loss_rpn_loc: 0.02253  time: 0.3219  data_time: 0.1148  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:43:23 d2.utils.events]: \u001b[0m eta: 2:18:48  iter: 14739  total_loss: 0.3138  loss_cls: 0.03522  loss_box_reg: 0.06544  loss_mask: 0.1768  loss_rpn_cls: 0.004296  loss_rpn_loc: 0.02631  time: 0.3219  data_time: 0.1145  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:43:30 d2.utils.events]: \u001b[0m eta: 2:18:41  iter: 14759  total_loss: 0.2948  loss_cls: 0.03234  loss_box_reg: 0.05268  loss_mask: 0.2045  loss_rpn_cls: 0.001855  loss_rpn_loc: 0.01997  time: 0.3219  data_time: 0.1145  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:43:36 d2.utils.events]: \u001b[0m eta: 2:18:36  iter: 14779  total_loss: 0.2915  loss_cls: 0.02448  loss_box_reg: 0.05541  loss_mask: 0.1753  loss_rpn_cls: 0.002579  loss_rpn_loc: 0.02741  time: 0.3219  data_time: 0.1136  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:43:43 d2.utils.events]: \u001b[0m eta: 2:18:27  iter: 14799  total_loss: 0.2743  loss_cls: 0.02377  loss_box_reg: 0.0416  loss_mask: 0.1805  loss_rpn_cls: 0.004199  loss_rpn_loc: 0.01932  time: 0.3219  data_time: 0.1139  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:43:49 d2.utils.events]: \u001b[0m eta: 2:18:18  iter: 14819  total_loss: 0.3205  loss_cls: 0.03211  loss_box_reg: 0.0664  loss_mask: 0.1805  loss_rpn_cls: 0.00475  loss_rpn_loc: 0.0236  time: 0.3219  data_time: 0.1138  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:43:56 d2.utils.events]: \u001b[0m eta: 2:17:59  iter: 14839  total_loss: 0.3299  loss_cls: 0.03322  loss_box_reg: 0.06302  loss_mask: 0.1964  loss_rpn_cls: 0.002115  loss_rpn_loc: 0.0204  time: 0.3219  data_time: 0.1128  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:44:02 d2.utils.events]: \u001b[0m eta: 2:17:51  iter: 14859  total_loss: 0.3018  loss_cls: 0.02276  loss_box_reg: 0.04791  loss_mask: 0.1666  loss_rpn_cls: 0.007198  loss_rpn_loc: 0.02099  time: 0.3219  data_time: 0.1157  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:44:09 d2.utils.events]: \u001b[0m eta: 2:17:46  iter: 14879  total_loss: 0.2735  loss_cls: 0.02712  loss_box_reg: 0.05406  loss_mask: 0.1577  loss_rpn_cls: 0.002433  loss_rpn_loc: 0.02886  time: 0.3219  data_time: 0.1145  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:44:16 d2.utils.events]: \u001b[0m eta: 2:17:41  iter: 14899  total_loss: 0.3362  loss_cls: 0.03188  loss_box_reg: 0.0636  loss_mask: 0.198  loss_rpn_cls: 0.002989  loss_rpn_loc: 0.03555  time: 0.3219  data_time: 0.1145  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:44:22 d2.utils.events]: \u001b[0m eta: 2:17:37  iter: 14919  total_loss: 0.3028  loss_cls: 0.03869  loss_box_reg: 0.05996  loss_mask: 0.1846  loss_rpn_cls: 0.001882  loss_rpn_loc: 0.0272  time: 0.3219  data_time: 0.1156  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:44:29 d2.utils.events]: \u001b[0m eta: 2:17:37  iter: 14939  total_loss: 0.2912  loss_cls: 0.03423  loss_box_reg: 0.06448  loss_mask: 0.1672  loss_rpn_cls: 0.001172  loss_rpn_loc: 0.01805  time: 0.3220  data_time: 0.1153  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:44:36 d2.utils.events]: \u001b[0m eta: 2:17:30  iter: 14959  total_loss: 0.3236  loss_cls: 0.03872  loss_box_reg: 0.06282  loss_mask: 0.1873  loss_rpn_cls: 0.0046  loss_rpn_loc: 0.03306  time: 0.3220  data_time: 0.1153  lr: 0.00025  max_mem: 2058M\n",
      "\u001b[32m[12/15 10:44:43 d2.utils.events]: \u001b[0m eta: 2:17:30  iter: 14979  total_loss: 0.3229  loss_cls: 0.03213  loss_box_reg: 0.05494  loss_mask: 0.1954  loss_rpn_cls: 0.002578  loss_rpn_loc: 0.02222  time: 0.3220  data_time: 0.1153  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:44:50 d2.utils.events]: \u001b[0m eta: 2:17:27  iter: 14999  total_loss: 0.2626  loss_cls: 0.02503  loss_box_reg: 0.05237  loss_mask: 0.1749  loss_rpn_cls: 0.001454  loss_rpn_loc: 0.02316  time: 0.3220  data_time: 0.1160  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:44:56 d2.utils.events]: \u001b[0m eta: 2:17:23  iter: 15019  total_loss: 0.2476  loss_cls: 0.02356  loss_box_reg: 0.04024  loss_mask: 0.1686  loss_rpn_cls: 0.003423  loss_rpn_loc: 0.02025  time: 0.3220  data_time: 0.1158  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:45:03 d2.utils.events]: \u001b[0m eta: 2:17:04  iter: 15039  total_loss: 0.3349  loss_cls: 0.02831  loss_box_reg: 0.06571  loss_mask: 0.1842  loss_rpn_cls: 0.005542  loss_rpn_loc: 0.03335  time: 0.3220  data_time: 0.1143  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:45:09 d2.utils.events]: \u001b[0m eta: 2:17:07  iter: 15059  total_loss: 0.3898  loss_cls: 0.03645  loss_box_reg: 0.06761  loss_mask: 0.2107  loss_rpn_cls: 0.003938  loss_rpn_loc: 0.03057  time: 0.3221  data_time: 0.1153  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:45:16 d2.utils.events]: \u001b[0m eta: 2:16:58  iter: 15079  total_loss: 0.3103  loss_cls: 0.03004  loss_box_reg: 0.05376  loss_mask: 0.1887  loss_rpn_cls: 0.004841  loss_rpn_loc: 0.03602  time: 0.3221  data_time: 0.1134  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:45:22 d2.utils.events]: \u001b[0m eta: 2:16:45  iter: 15099  total_loss: 0.2537  loss_cls: 0.02052  loss_box_reg: 0.04644  loss_mask: 0.159  loss_rpn_cls: 0.002187  loss_rpn_loc: 0.02051  time: 0.3221  data_time: 0.1149  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:45:29 d2.utils.events]: \u001b[0m eta: 2:16:37  iter: 15119  total_loss: 0.3001  loss_cls: 0.02928  loss_box_reg: 0.05509  loss_mask: 0.178  loss_rpn_cls: 0.002159  loss_rpn_loc: 0.0261  time: 0.3221  data_time: 0.1158  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:45:36 d2.utils.events]: \u001b[0m eta: 2:16:31  iter: 15139  total_loss: 0.3136  loss_cls: 0.03116  loss_box_reg: 0.06023  loss_mask: 0.1861  loss_rpn_cls: 0.002917  loss_rpn_loc: 0.02696  time: 0.3221  data_time: 0.1149  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:45:42 d2.utils.events]: \u001b[0m eta: 2:16:25  iter: 15159  total_loss: 0.3085  loss_cls: 0.0309  loss_box_reg: 0.06178  loss_mask: 0.179  loss_rpn_cls: 0.005236  loss_rpn_loc: 0.02592  time: 0.3221  data_time: 0.1150  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:45:49 d2.utils.events]: \u001b[0m eta: 2:16:16  iter: 15179  total_loss: 0.3198  loss_cls: 0.03288  loss_box_reg: 0.06848  loss_mask: 0.1848  loss_rpn_cls: 0.006194  loss_rpn_loc: 0.0259  time: 0.3221  data_time: 0.1151  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:45:55 d2.utils.events]: \u001b[0m eta: 2:16:02  iter: 15199  total_loss: 0.2917  loss_cls: 0.02221  loss_box_reg: 0.04978  loss_mask: 0.1926  loss_rpn_cls: 0.002028  loss_rpn_loc: 0.02175  time: 0.3221  data_time: 0.1157  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:46:02 d2.utils.events]: \u001b[0m eta: 2:15:55  iter: 15219  total_loss: 0.324  loss_cls: 0.0355  loss_box_reg: 0.05995  loss_mask: 0.19  loss_rpn_cls: 0.004643  loss_rpn_loc: 0.02348  time: 0.3221  data_time: 0.1175  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:46:09 d2.utils.events]: \u001b[0m eta: 2:15:58  iter: 15239  total_loss: 0.327  loss_cls: 0.03289  loss_box_reg: 0.06376  loss_mask: 0.184  loss_rpn_cls: 0.005745  loss_rpn_loc: 0.02491  time: 0.3221  data_time: 0.1179  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:46:16 d2.utils.events]: \u001b[0m eta: 2:15:52  iter: 15259  total_loss: 0.3022  loss_cls: 0.02618  loss_box_reg: 0.05306  loss_mask: 0.1953  loss_rpn_cls: 0.004613  loss_rpn_loc: 0.02036  time: 0.3222  data_time: 0.1147  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:46:22 d2.utils.events]: \u001b[0m eta: 2:15:47  iter: 15279  total_loss: 0.3005  loss_cls: 0.03779  loss_box_reg: 0.06182  loss_mask: 0.1856  loss_rpn_cls: 0.003299  loss_rpn_loc: 0.02655  time: 0.3222  data_time: 0.1151  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:46:29 d2.utils.events]: \u001b[0m eta: 2:15:40  iter: 15299  total_loss: 0.2915  loss_cls: 0.0291  loss_box_reg: 0.05879  loss_mask: 0.1672  loss_rpn_cls: 0.002966  loss_rpn_loc: 0.0318  time: 0.3222  data_time: 0.1160  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:46:35 d2.utils.events]: \u001b[0m eta: 2:15:32  iter: 15319  total_loss: 0.2717  loss_cls: 0.02616  loss_box_reg: 0.0491  loss_mask: 0.1674  loss_rpn_cls: 0.004334  loss_rpn_loc: 0.01655  time: 0.3222  data_time: 0.1168  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:46:42 d2.utils.events]: \u001b[0m eta: 2:15:26  iter: 15339  total_loss: 0.2875  loss_cls: 0.02482  loss_box_reg: 0.05996  loss_mask: 0.1729  loss_rpn_cls: 0.003602  loss_rpn_loc: 0.02458  time: 0.3222  data_time: 0.1164  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:46:48 d2.utils.events]: \u001b[0m eta: 2:15:18  iter: 15359  total_loss: 0.2817  loss_cls: 0.02368  loss_box_reg: 0.05174  loss_mask: 0.1805  loss_rpn_cls: 0.002712  loss_rpn_loc: 0.02252  time: 0.3222  data_time: 0.1168  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:46:55 d2.utils.events]: \u001b[0m eta: 2:15:14  iter: 15379  total_loss: 0.2988  loss_cls: 0.02888  loss_box_reg: 0.05805  loss_mask: 0.1778  loss_rpn_cls: 0.002423  loss_rpn_loc: 0.02663  time: 0.3222  data_time: 0.1163  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:47:02 d2.utils.events]: \u001b[0m eta: 2:15:07  iter: 15399  total_loss: 0.2467  loss_cls: 0.02146  loss_box_reg: 0.05266  loss_mask: 0.162  loss_rpn_cls: 0.0007526  loss_rpn_loc: 0.01415  time: 0.3222  data_time: 0.1167  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:47:09 d2.utils.events]: \u001b[0m eta: 2:15:02  iter: 15419  total_loss: 0.2353  loss_cls: 0.0226  loss_box_reg: 0.04509  loss_mask: 0.1411  loss_rpn_cls: 0.004553  loss_rpn_loc: 0.01842  time: 0.3223  data_time: 0.1173  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:47:15 d2.utils.events]: \u001b[0m eta: 2:14:56  iter: 15439  total_loss: 0.2897  loss_cls: 0.02366  loss_box_reg: 0.05296  loss_mask: 0.1894  loss_rpn_cls: 0.003558  loss_rpn_loc: 0.03173  time: 0.3223  data_time: 0.1161  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:47:22 d2.utils.events]: \u001b[0m eta: 2:14:49  iter: 15459  total_loss: 0.3235  loss_cls: 0.03169  loss_box_reg: 0.06138  loss_mask: 0.1874  loss_rpn_cls: 0.00445  loss_rpn_loc: 0.02671  time: 0.3223  data_time: 0.1155  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:47:29 d2.utils.events]: \u001b[0m eta: 2:14:47  iter: 15479  total_loss: 0.2868  loss_cls: 0.02811  loss_box_reg: 0.05381  loss_mask: 0.1866  loss_rpn_cls: 0.005338  loss_rpn_loc: 0.02645  time: 0.3223  data_time: 0.1156  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:47:36 d2.utils.events]: \u001b[0m eta: 2:14:48  iter: 15499  total_loss: 0.282  loss_cls: 0.03284  loss_box_reg: 0.06172  loss_mask: 0.1582  loss_rpn_cls: 0.002325  loss_rpn_loc: 0.02167  time: 0.3223  data_time: 0.1166  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:47:42 d2.utils.events]: \u001b[0m eta: 2:14:37  iter: 15519  total_loss: 0.3292  loss_cls: 0.02821  loss_box_reg: 0.05001  loss_mask: 0.2043  loss_rpn_cls: 0.00417  loss_rpn_loc: 0.02899  time: 0.3223  data_time: 0.1165  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:47:49 d2.utils.events]: \u001b[0m eta: 2:14:33  iter: 15539  total_loss: 0.3661  loss_cls: 0.04197  loss_box_reg: 0.07798  loss_mask: 0.2056  loss_rpn_cls: 0.00449  loss_rpn_loc: 0.04195  time: 0.3224  data_time: 0.1156  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:47:56 d2.utils.events]: \u001b[0m eta: 2:14:29  iter: 15559  total_loss: 0.2854  loss_cls: 0.02923  loss_box_reg: 0.06792  loss_mask: 0.154  loss_rpn_cls: 0.002343  loss_rpn_loc: 0.02202  time: 0.3224  data_time: 0.1165  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:48:03 d2.utils.events]: \u001b[0m eta: 2:14:23  iter: 15579  total_loss: 0.3021  loss_cls: 0.03112  loss_box_reg: 0.04894  loss_mask: 0.1806  loss_rpn_cls: 0.006267  loss_rpn_loc: 0.02788  time: 0.3224  data_time: 0.1150  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:48:09 d2.utils.events]: \u001b[0m eta: 2:14:18  iter: 15599  total_loss: 0.3418  loss_cls: 0.03483  loss_box_reg: 0.06316  loss_mask: 0.1883  loss_rpn_cls: 0.002703  loss_rpn_loc: 0.02773  time: 0.3224  data_time: 0.1157  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:48:16 d2.utils.events]: \u001b[0m eta: 2:14:21  iter: 15619  total_loss: 0.3332  loss_cls: 0.03192  loss_box_reg: 0.05395  loss_mask: 0.1959  loss_rpn_cls: 0.004045  loss_rpn_loc: 0.0276  time: 0.3225  data_time: 0.1189  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:48:23 d2.utils.events]: \u001b[0m eta: 2:14:25  iter: 15639  total_loss: 0.2952  loss_cls: 0.02781  loss_box_reg: 0.06082  loss_mask: 0.1878  loss_rpn_cls: 0.003013  loss_rpn_loc: 0.02373  time: 0.3225  data_time: 0.1146  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:48:30 d2.utils.events]: \u001b[0m eta: 2:14:22  iter: 15659  total_loss: 0.2685  loss_cls: 0.02309  loss_box_reg: 0.05488  loss_mask: 0.1534  loss_rpn_cls: 0.004218  loss_rpn_loc: 0.02224  time: 0.3225  data_time: 0.1151  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:48:36 d2.utils.events]: \u001b[0m eta: 2:14:18  iter: 15679  total_loss: 0.2955  loss_cls: 0.03353  loss_box_reg: 0.07281  loss_mask: 0.1765  loss_rpn_cls: 0.0023  loss_rpn_loc: 0.02763  time: 0.3225  data_time: 0.1153  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:48:43 d2.utils.events]: \u001b[0m eta: 2:14:18  iter: 15699  total_loss: 0.2758  loss_cls: 0.02887  loss_box_reg: 0.05348  loss_mask: 0.178  loss_rpn_cls: 0.00256  loss_rpn_loc: 0.02298  time: 0.3225  data_time: 0.1178  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:48:50 d2.utils.events]: \u001b[0m eta: 2:14:16  iter: 15719  total_loss: 0.2264  loss_cls: 0.01951  loss_box_reg: 0.03827  loss_mask: 0.1645  loss_rpn_cls: 0.002115  loss_rpn_loc: 0.01751  time: 0.3225  data_time: 0.1169  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:48:56 d2.utils.events]: \u001b[0m eta: 2:14:08  iter: 15739  total_loss: 0.2958  loss_cls: 0.02515  loss_box_reg: 0.05657  loss_mask: 0.1723  loss_rpn_cls: 0.002898  loss_rpn_loc: 0.01704  time: 0.3225  data_time: 0.1161  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:49:03 d2.utils.events]: \u001b[0m eta: 2:13:57  iter: 15759  total_loss: 0.2705  loss_cls: 0.02196  loss_box_reg: 0.05081  loss_mask: 0.1834  loss_rpn_cls: 0.002695  loss_rpn_loc: 0.02156  time: 0.3225  data_time: 0.1165  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:49:09 d2.utils.events]: \u001b[0m eta: 2:13:52  iter: 15779  total_loss: 0.2645  loss_cls: 0.02671  loss_box_reg: 0.05051  loss_mask: 0.1509  loss_rpn_cls: 0.002566  loss_rpn_loc: 0.01461  time: 0.3225  data_time: 0.1155  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:49:16 d2.utils.events]: \u001b[0m eta: 2:13:54  iter: 15799  total_loss: 0.2807  loss_cls: 0.02815  loss_box_reg: 0.04407  loss_mask: 0.1638  loss_rpn_cls: 0.001495  loss_rpn_loc: 0.02486  time: 0.3226  data_time: 0.1171  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:49:23 d2.utils.events]: \u001b[0m eta: 2:13:56  iter: 15819  total_loss: 0.2629  loss_cls: 0.02433  loss_box_reg: 0.04349  loss_mask: 0.1748  loss_rpn_cls: 0.002667  loss_rpn_loc: 0.02608  time: 0.3226  data_time: 0.1153  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:49:30 d2.utils.events]: \u001b[0m eta: 2:13:59  iter: 15839  total_loss: 0.2881  loss_cls: 0.03129  loss_box_reg: 0.05493  loss_mask: 0.1634  loss_rpn_cls: 0.004539  loss_rpn_loc: 0.02519  time: 0.3226  data_time: 0.1153  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:49:37 d2.utils.events]: \u001b[0m eta: 2:13:51  iter: 15859  total_loss: 0.2932  loss_cls: 0.02723  loss_box_reg: 0.06332  loss_mask: 0.1669  loss_rpn_cls: 0.001226  loss_rpn_loc: 0.02497  time: 0.3226  data_time: 0.1147  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:49:44 d2.utils.events]: \u001b[0m eta: 2:13:46  iter: 15879  total_loss: 0.2738  loss_cls: 0.02568  loss_box_reg: 0.05208  loss_mask: 0.172  loss_rpn_cls: 0.003094  loss_rpn_loc: 0.02017  time: 0.3227  data_time: 0.1146  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:49:50 d2.utils.events]: \u001b[0m eta: 2:13:43  iter: 15899  total_loss: 0.2802  loss_cls: 0.02664  loss_box_reg: 0.05165  loss_mask: 0.163  loss_rpn_cls: 0.003834  loss_rpn_loc: 0.02238  time: 0.3227  data_time: 0.1155  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:49:57 d2.utils.events]: \u001b[0m eta: 2:13:42  iter: 15919  total_loss: 0.2902  loss_cls: 0.02632  loss_box_reg: 0.04649  loss_mask: 0.1857  loss_rpn_cls: 0.001546  loss_rpn_loc: 0.02641  time: 0.3227  data_time: 0.1154  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:50:03 d2.utils.events]: \u001b[0m eta: 2:13:23  iter: 15939  total_loss: 0.3054  loss_cls: 0.03056  loss_box_reg: 0.04764  loss_mask: 0.1905  loss_rpn_cls: 0.005243  loss_rpn_loc: 0.02954  time: 0.3227  data_time: 0.1149  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:50:10 d2.utils.events]: \u001b[0m eta: 2:13:16  iter: 15959  total_loss: 0.3291  loss_cls: 0.02881  loss_box_reg: 0.05179  loss_mask: 0.186  loss_rpn_cls: 0.005776  loss_rpn_loc: 0.02542  time: 0.3227  data_time: 0.1175  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:50:17 d2.utils.events]: \u001b[0m eta: 2:13:11  iter: 15979  total_loss: 0.3444  loss_cls: 0.03673  loss_box_reg: 0.06393  loss_mask: 0.1832  loss_rpn_cls: 0.001224  loss_rpn_loc: 0.02999  time: 0.3227  data_time: 0.1163  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:50:24 d2.utils.events]: \u001b[0m eta: 2:13:10  iter: 15999  total_loss: 0.2911  loss_cls: 0.03259  loss_box_reg: 0.07129  loss_mask: 0.1636  loss_rpn_cls: 0.001813  loss_rpn_loc: 0.02366  time: 0.3227  data_time: 0.1167  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:50:30 d2.utils.events]: \u001b[0m eta: 2:13:08  iter: 16019  total_loss: 0.3224  loss_cls: 0.02937  loss_box_reg: 0.06148  loss_mask: 0.1954  loss_rpn_cls: 0.002752  loss_rpn_loc: 0.03333  time: 0.3228  data_time: 0.1173  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:50:37 d2.utils.events]: \u001b[0m eta: 2:13:08  iter: 16039  total_loss: 0.3043  loss_cls: 0.02493  loss_box_reg: 0.06084  loss_mask: 0.1563  loss_rpn_cls: 0.002501  loss_rpn_loc: 0.02411  time: 0.3228  data_time: 0.1157  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:50:44 d2.utils.events]: \u001b[0m eta: 2:12:50  iter: 16059  total_loss: 0.2981  loss_cls: 0.02559  loss_box_reg: 0.05604  loss_mask: 0.1827  loss_rpn_cls: 0.004136  loss_rpn_loc: 0.03161  time: 0.3228  data_time: 0.1159  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:50:50 d2.utils.events]: \u001b[0m eta: 2:12:48  iter: 16079  total_loss: 0.3542  loss_cls: 0.03757  loss_box_reg: 0.06874  loss_mask: 0.1879  loss_rpn_cls: 0.006029  loss_rpn_loc: 0.02995  time: 0.3228  data_time: 0.1159  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:50:57 d2.utils.events]: \u001b[0m eta: 2:12:53  iter: 16099  total_loss: 0.277  loss_cls: 0.02479  loss_box_reg: 0.05478  loss_mask: 0.1774  loss_rpn_cls: 0.002685  loss_rpn_loc: 0.02427  time: 0.3228  data_time: 0.1168  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:51:04 d2.utils.events]: \u001b[0m eta: 2:12:48  iter: 16119  total_loss: 0.2859  loss_cls: 0.02367  loss_box_reg: 0.04758  loss_mask: 0.1784  loss_rpn_cls: 0.005846  loss_rpn_loc: 0.02466  time: 0.3228  data_time: 0.1163  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:51:10 d2.utils.events]: \u001b[0m eta: 2:12:43  iter: 16139  total_loss: 0.2751  loss_cls: 0.029  loss_box_reg: 0.0597  loss_mask: 0.1763  loss_rpn_cls: 0.002982  loss_rpn_loc: 0.01786  time: 0.3228  data_time: 0.1151  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:51:17 d2.utils.events]: \u001b[0m eta: 2:12:40  iter: 16159  total_loss: 0.2552  loss_cls: 0.02585  loss_box_reg: 0.05327  loss_mask: 0.1557  loss_rpn_cls: 0.005061  loss_rpn_loc: 0.02116  time: 0.3228  data_time: 0.1156  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:51:24 d2.utils.events]: \u001b[0m eta: 2:12:39  iter: 16179  total_loss: 0.2941  loss_cls: 0.02704  loss_box_reg: 0.0518  loss_mask: 0.1701  loss_rpn_cls: 0.004613  loss_rpn_loc: 0.02381  time: 0.3228  data_time: 0.1165  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:51:30 d2.utils.events]: \u001b[0m eta: 2:12:34  iter: 16199  total_loss: 0.2822  loss_cls: 0.02503  loss_box_reg: 0.04568  loss_mask: 0.1811  loss_rpn_cls: 0.003593  loss_rpn_loc: 0.02325  time: 0.3229  data_time: 0.1150  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:51:37 d2.utils.events]: \u001b[0m eta: 2:12:27  iter: 16219  total_loss: 0.298  loss_cls: 0.0287  loss_box_reg: 0.05887  loss_mask: 0.1827  loss_rpn_cls: 0.003932  loss_rpn_loc: 0.03684  time: 0.3229  data_time: 0.1154  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:51:44 d2.utils.events]: \u001b[0m eta: 2:12:21  iter: 16239  total_loss: 0.3186  loss_cls: 0.03634  loss_box_reg: 0.06188  loss_mask: 0.1738  loss_rpn_cls: 0.003052  loss_rpn_loc: 0.02399  time: 0.3229  data_time: 0.1157  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:51:51 d2.utils.events]: \u001b[0m eta: 2:12:14  iter: 16259  total_loss: 0.2678  loss_cls: 0.02702  loss_box_reg: 0.04162  loss_mask: 0.1612  loss_rpn_cls: 0.00466  loss_rpn_loc: 0.01791  time: 0.3229  data_time: 0.1167  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:51:58 d2.utils.events]: \u001b[0m eta: 2:12:15  iter: 16279  total_loss: 0.3056  loss_cls: 0.03296  loss_box_reg: 0.05761  loss_mask: 0.1658  loss_rpn_cls: 0.003266  loss_rpn_loc: 0.02339  time: 0.3230  data_time: 0.1179  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:52:05 d2.utils.events]: \u001b[0m eta: 2:12:11  iter: 16299  total_loss: 0.2976  loss_cls: 0.0259  loss_box_reg: 0.05614  loss_mask: 0.1778  loss_rpn_cls: 0.00602  loss_rpn_loc: 0.02572  time: 0.3230  data_time: 0.1162  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:52:11 d2.utils.events]: \u001b[0m eta: 2:12:03  iter: 16319  total_loss: 0.2987  loss_cls: 0.03112  loss_box_reg: 0.05429  loss_mask: 0.1874  loss_rpn_cls: 0.005111  loss_rpn_loc: 0.02906  time: 0.3230  data_time: 0.1156  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:52:18 d2.utils.events]: \u001b[0m eta: 2:11:57  iter: 16339  total_loss: 0.3294  loss_cls: 0.03263  loss_box_reg: 0.07909  loss_mask: 0.1755  loss_rpn_cls: 0.003725  loss_rpn_loc: 0.03424  time: 0.3230  data_time: 0.1143  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:52:25 d2.utils.events]: \u001b[0m eta: 2:11:53  iter: 16359  total_loss: 0.2874  loss_cls: 0.0332  loss_box_reg: 0.05836  loss_mask: 0.16  loss_rpn_cls: 0.004958  loss_rpn_loc: 0.02633  time: 0.3230  data_time: 0.1149  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:52:32 d2.utils.events]: \u001b[0m eta: 2:11:46  iter: 16379  total_loss: 0.3206  loss_cls: 0.02922  loss_box_reg: 0.05439  loss_mask: 0.204  loss_rpn_cls: 0.003846  loss_rpn_loc: 0.02541  time: 0.3230  data_time: 0.1162  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:52:38 d2.utils.events]: \u001b[0m eta: 2:11:42  iter: 16399  total_loss: 0.3379  loss_cls: 0.03411  loss_box_reg: 0.07205  loss_mask: 0.1927  loss_rpn_cls: 0.005503  loss_rpn_loc: 0.02896  time: 0.3231  data_time: 0.1167  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:52:45 d2.utils.events]: \u001b[0m eta: 2:11:39  iter: 16419  total_loss: 0.308  loss_cls: 0.0293  loss_box_reg: 0.05146  loss_mask: 0.168  loss_rpn_cls: 0.005049  loss_rpn_loc: 0.02937  time: 0.3231  data_time: 0.1165  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:52:52 d2.utils.events]: \u001b[0m eta: 2:11:38  iter: 16439  total_loss: 0.2889  loss_cls: 0.02762  loss_box_reg: 0.0574  loss_mask: 0.1805  loss_rpn_cls: 0.002372  loss_rpn_loc: 0.02262  time: 0.3231  data_time: 0.1153  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:52:59 d2.utils.events]: \u001b[0m eta: 2:11:30  iter: 16459  total_loss: 0.2456  loss_cls: 0.02502  loss_box_reg: 0.04339  loss_mask: 0.1544  loss_rpn_cls: 0.007497  loss_rpn_loc: 0.02412  time: 0.3231  data_time: 0.1169  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:53:05 d2.utils.events]: \u001b[0m eta: 2:11:18  iter: 16479  total_loss: 0.3491  loss_cls: 0.03512  loss_box_reg: 0.07111  loss_mask: 0.1818  loss_rpn_cls: 0.003246  loss_rpn_loc: 0.02346  time: 0.3231  data_time: 0.1179  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:53:12 d2.utils.events]: \u001b[0m eta: 2:11:09  iter: 16499  total_loss: 0.255  loss_cls: 0.02422  loss_box_reg: 0.04964  loss_mask: 0.1569  loss_rpn_cls: 0.00274  loss_rpn_loc: 0.02513  time: 0.3232  data_time: 0.1155  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:53:19 d2.utils.events]: \u001b[0m eta: 2:11:03  iter: 16519  total_loss: 0.2604  loss_cls: 0.02192  loss_box_reg: 0.05655  loss_mask: 0.152  loss_rpn_cls: 0.002028  loss_rpn_loc: 0.02146  time: 0.3232  data_time: 0.1160  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:53:25 d2.utils.events]: \u001b[0m eta: 2:10:52  iter: 16539  total_loss: 0.2952  loss_cls: 0.03202  loss_box_reg: 0.05108  loss_mask: 0.158  loss_rpn_cls: 0.003363  loss_rpn_loc: 0.02063  time: 0.3232  data_time: 0.1150  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:53:32 d2.utils.events]: \u001b[0m eta: 2:10:46  iter: 16559  total_loss: 0.2713  loss_cls: 0.02363  loss_box_reg: 0.05062  loss_mask: 0.167  loss_rpn_cls: 0.001432  loss_rpn_loc: 0.02074  time: 0.3232  data_time: 0.1167  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:53:39 d2.utils.events]: \u001b[0m eta: 2:10:40  iter: 16579  total_loss: 0.2942  loss_cls: 0.03187  loss_box_reg: 0.06178  loss_mask: 0.174  loss_rpn_cls: 0.001971  loss_rpn_loc: 0.02925  time: 0.3232  data_time: 0.1172  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:53:45 d2.utils.events]: \u001b[0m eta: 2:10:33  iter: 16599  total_loss: 0.3028  loss_cls: 0.02264  loss_box_reg: 0.04189  loss_mask: 0.1775  loss_rpn_cls: 0.003042  loss_rpn_loc: 0.02458  time: 0.3232  data_time: 0.1169  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:53:52 d2.utils.events]: \u001b[0m eta: 2:10:14  iter: 16619  total_loss: 0.2411  loss_cls: 0.02328  loss_box_reg: 0.05134  loss_mask: 0.1509  loss_rpn_cls: 0.003453  loss_rpn_loc: 0.01739  time: 0.3232  data_time: 0.1159  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:53:59 d2.utils.events]: \u001b[0m eta: 2:10:00  iter: 16639  total_loss: 0.2757  loss_cls: 0.02739  loss_box_reg: 0.05004  loss_mask: 0.1574  loss_rpn_cls: 0.00361  loss_rpn_loc: 0.01755  time: 0.3232  data_time: 0.1136  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:54:05 d2.utils.events]: \u001b[0m eta: 2:10:01  iter: 16659  total_loss: 0.3124  loss_cls: 0.03255  loss_box_reg: 0.05929  loss_mask: 0.1759  loss_rpn_cls: 0.003207  loss_rpn_loc: 0.03191  time: 0.3232  data_time: 0.1177  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:54:12 d2.utils.events]: \u001b[0m eta: 2:09:50  iter: 16679  total_loss: 0.3185  loss_cls: 0.03133  loss_box_reg: 0.05407  loss_mask: 0.1851  loss_rpn_cls: 0.005279  loss_rpn_loc: 0.03432  time: 0.3232  data_time: 0.1154  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:54:19 d2.utils.events]: \u001b[0m eta: 2:09:47  iter: 16699  total_loss: 0.2728  loss_cls: 0.02704  loss_box_reg: 0.06054  loss_mask: 0.1543  loss_rpn_cls: 0.002828  loss_rpn_loc: 0.02899  time: 0.3233  data_time: 0.1165  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:54:26 d2.utils.events]: \u001b[0m eta: 2:09:39  iter: 16719  total_loss: 0.2789  loss_cls: 0.02856  loss_box_reg: 0.04951  loss_mask: 0.1697  loss_rpn_cls: 0.002898  loss_rpn_loc: 0.02302  time: 0.3233  data_time: 0.1151  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:54:32 d2.utils.events]: \u001b[0m eta: 2:09:32  iter: 16739  total_loss: 0.2553  loss_cls: 0.01998  loss_box_reg: 0.05106  loss_mask: 0.1741  loss_rpn_cls: 0.002505  loss_rpn_loc: 0.01723  time: 0.3233  data_time: 0.1148  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:54:39 d2.utils.events]: \u001b[0m eta: 2:09:31  iter: 16759  total_loss: 0.2959  loss_cls: 0.03195  loss_box_reg: 0.0578  loss_mask: 0.1722  loss_rpn_cls: 0.002496  loss_rpn_loc: 0.02714  time: 0.3233  data_time: 0.1158  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:54:45 d2.utils.events]: \u001b[0m eta: 2:09:21  iter: 16779  total_loss: 0.227  loss_cls: 0.01991  loss_box_reg: 0.03813  loss_mask: 0.1522  loss_rpn_cls: 0.002317  loss_rpn_loc: 0.01812  time: 0.3233  data_time: 0.1154  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:54:52 d2.utils.events]: \u001b[0m eta: 2:09:14  iter: 16799  total_loss: 0.2963  loss_cls: 0.0312  loss_box_reg: 0.053  loss_mask: 0.1525  loss_rpn_cls: 0.001409  loss_rpn_loc: 0.02112  time: 0.3233  data_time: 0.1156  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:54:59 d2.utils.events]: \u001b[0m eta: 2:08:57  iter: 16819  total_loss: 0.2797  loss_cls: 0.02835  loss_box_reg: 0.05628  loss_mask: 0.1707  loss_rpn_cls: 0.002327  loss_rpn_loc: 0.02525  time: 0.3233  data_time: 0.1144  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:55:06 d2.utils.events]: \u001b[0m eta: 2:08:50  iter: 16839  total_loss: 0.3367  loss_cls: 0.02873  loss_box_reg: 0.06692  loss_mask: 0.2018  loss_rpn_cls: 0.003899  loss_rpn_loc: 0.03406  time: 0.3233  data_time: 0.1157  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:55:12 d2.utils.events]: \u001b[0m eta: 2:08:49  iter: 16859  total_loss: 0.2889  loss_cls: 0.0279  loss_box_reg: 0.05748  loss_mask: 0.1692  loss_rpn_cls: 0.004254  loss_rpn_loc: 0.02612  time: 0.3234  data_time: 0.1156  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:55:19 d2.utils.events]: \u001b[0m eta: 2:08:36  iter: 16879  total_loss: 0.272  loss_cls: 0.02107  loss_box_reg: 0.04875  loss_mask: 0.1604  loss_rpn_cls: 0.002861  loss_rpn_loc: 0.02371  time: 0.3234  data_time: 0.1154  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:55:25 d2.utils.events]: \u001b[0m eta: 2:08:24  iter: 16899  total_loss: 0.2784  loss_cls: 0.0308  loss_box_reg: 0.05489  loss_mask: 0.1619  loss_rpn_cls: 0.002916  loss_rpn_loc: 0.02404  time: 0.3234  data_time: 0.1145  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:55:32 d2.utils.events]: \u001b[0m eta: 2:08:01  iter: 16919  total_loss: 0.2917  loss_cls: 0.02692  loss_box_reg: 0.04484  loss_mask: 0.1641  loss_rpn_cls: 0.006563  loss_rpn_loc: 0.02516  time: 0.3234  data_time: 0.1144  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:55:38 d2.utils.events]: \u001b[0m eta: 2:07:54  iter: 16939  total_loss: 0.2662  loss_cls: 0.02064  loss_box_reg: 0.0458  loss_mask: 0.1816  loss_rpn_cls: 0.003856  loss_rpn_loc: 0.01685  time: 0.3234  data_time: 0.1167  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:55:45 d2.utils.events]: \u001b[0m eta: 2:07:47  iter: 16959  total_loss: 0.2846  loss_cls: 0.02963  loss_box_reg: 0.05333  loss_mask: 0.1846  loss_rpn_cls: 0.004471  loss_rpn_loc: 0.02285  time: 0.3234  data_time: 0.1176  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:55:51 d2.utils.events]: \u001b[0m eta: 2:07:32  iter: 16979  total_loss: 0.2535  loss_cls: 0.02139  loss_box_reg: 0.04357  loss_mask: 0.1659  loss_rpn_cls: 0.002775  loss_rpn_loc: 0.02378  time: 0.3234  data_time: 0.1164  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:55:57 d2.utils.events]: \u001b[0m eta: 2:07:19  iter: 16999  total_loss: 0.2958  loss_cls: 0.03563  loss_box_reg: 0.06019  loss_mask: 0.1859  loss_rpn_cls: 0.001946  loss_rpn_loc: 0.02661  time: 0.3234  data_time: 0.1148  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:56:04 d2.utils.events]: \u001b[0m eta: 2:07:11  iter: 17019  total_loss: 0.2869  loss_cls: 0.02533  loss_box_reg: 0.06047  loss_mask: 0.1646  loss_rpn_cls: 0.00378  loss_rpn_loc: 0.02581  time: 0.3234  data_time: 0.1161  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:56:11 d2.utils.events]: \u001b[0m eta: 2:06:52  iter: 17039  total_loss: 0.2915  loss_cls: 0.03027  loss_box_reg: 0.06202  loss_mask: 0.1689  loss_rpn_cls: 0.002574  loss_rpn_loc: 0.02469  time: 0.3234  data_time: 0.1150  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:56:17 d2.utils.events]: \u001b[0m eta: 2:06:42  iter: 17059  total_loss: 0.3581  loss_cls: 0.03294  loss_box_reg: 0.06128  loss_mask: 0.1997  loss_rpn_cls: 0.003203  loss_rpn_loc: 0.04072  time: 0.3234  data_time: 0.1148  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:56:24 d2.utils.events]: \u001b[0m eta: 2:06:36  iter: 17079  total_loss: 0.2618  loss_cls: 0.02524  loss_box_reg: 0.04296  loss_mask: 0.16  loss_rpn_cls: 0.002019  loss_rpn_loc: 0.02283  time: 0.3234  data_time: 0.1145  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:56:31 d2.utils.events]: \u001b[0m eta: 2:06:29  iter: 17099  total_loss: 0.302  loss_cls: 0.02471  loss_box_reg: 0.04864  loss_mask: 0.1892  loss_rpn_cls: 0.001505  loss_rpn_loc: 0.02626  time: 0.3234  data_time: 0.1149  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:56:37 d2.utils.events]: \u001b[0m eta: 2:06:22  iter: 17119  total_loss: 0.2607  loss_cls: 0.03234  loss_box_reg: 0.05854  loss_mask: 0.1568  loss_rpn_cls: 0.001611  loss_rpn_loc: 0.01554  time: 0.3234  data_time: 0.1150  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:56:44 d2.utils.events]: \u001b[0m eta: 2:06:13  iter: 17139  total_loss: 0.3271  loss_cls: 0.03295  loss_box_reg: 0.07729  loss_mask: 0.1807  loss_rpn_cls: 0.005381  loss_rpn_loc: 0.02601  time: 0.3234  data_time: 0.1153  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:56:50 d2.utils.events]: \u001b[0m eta: 2:06:06  iter: 17159  total_loss: 0.2646  loss_cls: 0.02718  loss_box_reg: 0.05009  loss_mask: 0.1517  loss_rpn_cls: 0.003557  loss_rpn_loc: 0.02084  time: 0.3234  data_time: 0.1160  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:56:57 d2.utils.events]: \u001b[0m eta: 2:05:58  iter: 17179  total_loss: 0.2762  loss_cls: 0.02702  loss_box_reg: 0.0547  loss_mask: 0.1472  loss_rpn_cls: 0.0009883  loss_rpn_loc: 0.01607  time: 0.3234  data_time: 0.1146  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:57:03 d2.utils.events]: \u001b[0m eta: 2:05:42  iter: 17199  total_loss: 0.2668  loss_cls: 0.02208  loss_box_reg: 0.04587  loss_mask: 0.1639  loss_rpn_cls: 0.001569  loss_rpn_loc: 0.0147  time: 0.3234  data_time: 0.1144  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:57:10 d2.utils.events]: \u001b[0m eta: 2:05:30  iter: 17219  total_loss: 0.2601  loss_cls: 0.02155  loss_box_reg: 0.04702  loss_mask: 0.1733  loss_rpn_cls: 0.001683  loss_rpn_loc: 0.02595  time: 0.3234  data_time: 0.1146  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:57:16 d2.utils.events]: \u001b[0m eta: 2:05:12  iter: 17239  total_loss: 0.248  loss_cls: 0.02832  loss_box_reg: 0.05403  loss_mask: 0.1427  loss_rpn_cls: 0.001994  loss_rpn_loc: 0.01666  time: 0.3234  data_time: 0.1152  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:57:23 d2.utils.events]: \u001b[0m eta: 2:05:05  iter: 17259  total_loss: 0.31  loss_cls: 0.03017  loss_box_reg: 0.06027  loss_mask: 0.1867  loss_rpn_cls: 0.003659  loss_rpn_loc: 0.01704  time: 0.3234  data_time: 0.1164  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:57:30 d2.utils.events]: \u001b[0m eta: 2:04:52  iter: 17279  total_loss: 0.2659  loss_cls: 0.02831  loss_box_reg: 0.05659  loss_mask: 0.1708  loss_rpn_cls: 0.004027  loss_rpn_loc: 0.02514  time: 0.3234  data_time: 0.1141  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:57:36 d2.utils.events]: \u001b[0m eta: 2:04:43  iter: 17299  total_loss: 0.2489  loss_cls: 0.0266  loss_box_reg: 0.0529  loss_mask: 0.1551  loss_rpn_cls: 0.002948  loss_rpn_loc: 0.02196  time: 0.3234  data_time: 0.1149  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:57:43 d2.utils.events]: \u001b[0m eta: 2:04:39  iter: 17319  total_loss: 0.2839  loss_cls: 0.02962  loss_box_reg: 0.05722  loss_mask: 0.1815  loss_rpn_cls: 0.003512  loss_rpn_loc: 0.02108  time: 0.3235  data_time: 0.1160  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:57:50 d2.utils.events]: \u001b[0m eta: 2:04:38  iter: 17339  total_loss: 0.2958  loss_cls: 0.02865  loss_box_reg: 0.04939  loss_mask: 0.1794  loss_rpn_cls: 0.00293  loss_rpn_loc: 0.02924  time: 0.3235  data_time: 0.1154  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:57:56 d2.utils.events]: \u001b[0m eta: 2:04:30  iter: 17359  total_loss: 0.3419  loss_cls: 0.03014  loss_box_reg: 0.06522  loss_mask: 0.183  loss_rpn_cls: 0.005226  loss_rpn_loc: 0.03515  time: 0.3235  data_time: 0.1153  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:58:03 d2.utils.events]: \u001b[0m eta: 2:04:22  iter: 17379  total_loss: 0.2844  loss_cls: 0.02959  loss_box_reg: 0.06851  loss_mask: 0.174  loss_rpn_cls: 0.003016  loss_rpn_loc: 0.0304  time: 0.3235  data_time: 0.1157  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:58:10 d2.utils.events]: \u001b[0m eta: 2:04:17  iter: 17399  total_loss: 0.2491  loss_cls: 0.02445  loss_box_reg: 0.0463  loss_mask: 0.1613  loss_rpn_cls: 0.001428  loss_rpn_loc: 0.02059  time: 0.3235  data_time: 0.1152  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:58:16 d2.utils.events]: \u001b[0m eta: 2:04:04  iter: 17419  total_loss: 0.2922  loss_cls: 0.02852  loss_box_reg: 0.05574  loss_mask: 0.1743  loss_rpn_cls: 0.00214  loss_rpn_loc: 0.02541  time: 0.3235  data_time: 0.1163  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:58:23 d2.utils.events]: \u001b[0m eta: 2:03:56  iter: 17439  total_loss: 0.2468  loss_cls: 0.02218  loss_box_reg: 0.05453  loss_mask: 0.1532  loss_rpn_cls: 0.001971  loss_rpn_loc: 0.01795  time: 0.3235  data_time: 0.1204  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:58:29 d2.utils.events]: \u001b[0m eta: 2:03:46  iter: 17459  total_loss: 0.3204  loss_cls: 0.02573  loss_box_reg: 0.05407  loss_mask: 0.1891  loss_rpn_cls: 0.007293  loss_rpn_loc: 0.03129  time: 0.3235  data_time: 0.1157  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:58:36 d2.utils.events]: \u001b[0m eta: 2:03:41  iter: 17479  total_loss: 0.2698  loss_cls: 0.02704  loss_box_reg: 0.05283  loss_mask: 0.1707  loss_rpn_cls: 0.001087  loss_rpn_loc: 0.02229  time: 0.3236  data_time: 0.1158  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:58:43 d2.utils.events]: \u001b[0m eta: 2:03:37  iter: 17499  total_loss: 0.2644  loss_cls: 0.02855  loss_box_reg: 0.05201  loss_mask: 0.1584  loss_rpn_cls: 0.001531  loss_rpn_loc: 0.0262  time: 0.3236  data_time: 0.1160  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:58:50 d2.utils.events]: \u001b[0m eta: 2:03:36  iter: 17519  total_loss: 0.2806  loss_cls: 0.03028  loss_box_reg: 0.05111  loss_mask: 0.1659  loss_rpn_cls: 0.001333  loss_rpn_loc: 0.03542  time: 0.3236  data_time: 0.1144  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:58:57 d2.utils.events]: \u001b[0m eta: 2:03:32  iter: 17539  total_loss: 0.3269  loss_cls: 0.03166  loss_box_reg: 0.06556  loss_mask: 0.1861  loss_rpn_cls: 0.005419  loss_rpn_loc: 0.03048  time: 0.3236  data_time: 0.1156  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:59:03 d2.utils.events]: \u001b[0m eta: 2:03:20  iter: 17559  total_loss: 0.2706  loss_cls: 0.02794  loss_box_reg: 0.05506  loss_mask: 0.1726  loss_rpn_cls: 0.003022  loss_rpn_loc: 0.02068  time: 0.3236  data_time: 0.1142  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:59:10 d2.utils.events]: \u001b[0m eta: 2:03:11  iter: 17579  total_loss: 0.2723  loss_cls: 0.0211  loss_box_reg: 0.04629  loss_mask: 0.1633  loss_rpn_cls: 0.003344  loss_rpn_loc: 0.02509  time: 0.3236  data_time: 0.1143  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:59:16 d2.utils.events]: \u001b[0m eta: 2:03:01  iter: 17599  total_loss: 0.2592  loss_cls: 0.02721  loss_box_reg: 0.05437  loss_mask: 0.1395  loss_rpn_cls: 0.003636  loss_rpn_loc: 0.01973  time: 0.3236  data_time: 0.1151  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:59:23 d2.utils.events]: \u001b[0m eta: 2:02:52  iter: 17619  total_loss: 0.251  loss_cls: 0.02164  loss_box_reg: 0.05541  loss_mask: 0.1509  loss_rpn_cls: 0.003786  loss_rpn_loc: 0.02375  time: 0.3236  data_time: 0.1144  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:59:29 d2.utils.events]: \u001b[0m eta: 2:02:46  iter: 17639  total_loss: 0.3022  loss_cls: 0.02485  loss_box_reg: 0.0496  loss_mask: 0.1745  loss_rpn_cls: 0.003233  loss_rpn_loc: 0.02481  time: 0.3236  data_time: 0.1150  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:59:36 d2.utils.events]: \u001b[0m eta: 2:02:36  iter: 17659  total_loss: 0.3636  loss_cls: 0.03631  loss_box_reg: 0.06437  loss_mask: 0.2002  loss_rpn_cls: 0.001859  loss_rpn_loc: 0.02334  time: 0.3236  data_time: 0.1168  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:59:42 d2.utils.events]: \u001b[0m eta: 2:02:30  iter: 17679  total_loss: 0.2927  loss_cls: 0.0357  loss_box_reg: 0.05314  loss_mask: 0.1676  loss_rpn_cls: 0.001995  loss_rpn_loc: 0.02973  time: 0.3236  data_time: 0.1158  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:59:49 d2.utils.events]: \u001b[0m eta: 2:02:21  iter: 17699  total_loss: 0.2783  loss_cls: 0.02782  loss_box_reg: 0.06125  loss_mask: 0.1715  loss_rpn_cls: 0.00222  loss_rpn_loc: 0.02716  time: 0.3236  data_time: 0.1159  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 10:59:55 d2.utils.events]: \u001b[0m eta: 2:02:11  iter: 17719  total_loss: 0.265  loss_cls: 0.02728  loss_box_reg: 0.04574  loss_mask: 0.1621  loss_rpn_cls: 0.002768  loss_rpn_loc: 0.02218  time: 0.3236  data_time: 0.1137  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:00:02 d2.utils.events]: \u001b[0m eta: 2:02:01  iter: 17739  total_loss: 0.2669  loss_cls: 0.03025  loss_box_reg: 0.05569  loss_mask: 0.1557  loss_rpn_cls: 0.003332  loss_rpn_loc: 0.02402  time: 0.3236  data_time: 0.1139  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:00:08 d2.utils.events]: \u001b[0m eta: 2:01:50  iter: 17759  total_loss: 0.2466  loss_cls: 0.02255  loss_box_reg: 0.04802  loss_mask: 0.1538  loss_rpn_cls: 0.00197  loss_rpn_loc: 0.01679  time: 0.3236  data_time: 0.1144  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:00:15 d2.utils.events]: \u001b[0m eta: 2:01:45  iter: 17779  total_loss: 0.2605  loss_cls: 0.02931  loss_box_reg: 0.06268  loss_mask: 0.1478  loss_rpn_cls: 0.001998  loss_rpn_loc: 0.02196  time: 0.3236  data_time: 0.1143  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:00:21 d2.utils.events]: \u001b[0m eta: 2:01:38  iter: 17799  total_loss: 0.3167  loss_cls: 0.03376  loss_box_reg: 0.06949  loss_mask: 0.1717  loss_rpn_cls: 0.003668  loss_rpn_loc: 0.03117  time: 0.3236  data_time: 0.1154  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:00:28 d2.utils.events]: \u001b[0m eta: 2:01:32  iter: 17819  total_loss: 0.2213  loss_cls: 0.02  loss_box_reg: 0.04307  loss_mask: 0.1314  loss_rpn_cls: 0.001906  loss_rpn_loc: 0.0175  time: 0.3236  data_time: 0.1158  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:00:35 d2.utils.events]: \u001b[0m eta: 2:01:26  iter: 17839  total_loss: 0.2698  loss_cls: 0.02473  loss_box_reg: 0.04422  loss_mask: 0.1558  loss_rpn_cls: 0.001323  loss_rpn_loc: 0.02308  time: 0.3236  data_time: 0.1148  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:00:41 d2.utils.events]: \u001b[0m eta: 2:01:08  iter: 17859  total_loss: 0.2654  loss_cls: 0.02994  loss_box_reg: 0.05225  loss_mask: 0.1678  loss_rpn_cls: 0.001338  loss_rpn_loc: 0.02159  time: 0.3236  data_time: 0.1144  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:00:47 d2.utils.events]: \u001b[0m eta: 2:00:59  iter: 17879  total_loss: 0.2977  loss_cls: 0.03039  loss_box_reg: 0.0625  loss_mask: 0.1758  loss_rpn_cls: 0.003786  loss_rpn_loc: 0.0295  time: 0.3236  data_time: 0.1165  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:00:54 d2.utils.events]: \u001b[0m eta: 2:00:53  iter: 17899  total_loss: 0.3159  loss_cls: 0.0358  loss_box_reg: 0.07567  loss_mask: 0.1781  loss_rpn_cls: 0.006682  loss_rpn_loc: 0.03315  time: 0.3236  data_time: 0.1149  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:01:00 d2.utils.events]: \u001b[0m eta: 2:00:48  iter: 17919  total_loss: 0.3029  loss_cls: 0.02855  loss_box_reg: 0.06218  loss_mask: 0.1754  loss_rpn_cls: 0.004813  loss_rpn_loc: 0.02833  time: 0.3236  data_time: 0.1154  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:01:07 d2.utils.events]: \u001b[0m eta: 2:00:44  iter: 17939  total_loss: 0.2836  loss_cls: 0.02573  loss_box_reg: 0.04808  loss_mask: 0.1656  loss_rpn_cls: 0.001326  loss_rpn_loc: 0.01769  time: 0.3236  data_time: 0.1160  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:01:14 d2.utils.events]: \u001b[0m eta: 2:00:35  iter: 17959  total_loss: 0.2589  loss_cls: 0.02582  loss_box_reg: 0.04854  loss_mask: 0.1653  loss_rpn_cls: 0.002285  loss_rpn_loc: 0.02599  time: 0.3236  data_time: 0.1157  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:01:20 d2.utils.events]: \u001b[0m eta: 2:00:33  iter: 17979  total_loss: 0.2684  loss_cls: 0.0241  loss_box_reg: 0.04872  loss_mask: 0.1561  loss_rpn_cls: 0.001544  loss_rpn_loc: 0.02062  time: 0.3236  data_time: 0.1154  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:01:27 d2.utils.events]: \u001b[0m eta: 2:00:24  iter: 17999  total_loss: 0.2625  loss_cls: 0.02852  loss_box_reg: 0.04966  loss_mask: 0.1629  loss_rpn_cls: 0.003263  loss_rpn_loc: 0.01966  time: 0.3236  data_time: 0.1159  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:01:33 d2.utils.events]: \u001b[0m eta: 2:00:07  iter: 18019  total_loss: 0.2687  loss_cls: 0.02075  loss_box_reg: 0.04601  loss_mask: 0.1511  loss_rpn_cls: 0.004667  loss_rpn_loc: 0.01394  time: 0.3236  data_time: 0.1152  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:01:40 d2.utils.events]: \u001b[0m eta: 2:00:01  iter: 18039  total_loss: 0.3255  loss_cls: 0.03119  loss_box_reg: 0.0637  loss_mask: 0.1734  loss_rpn_cls: 0.004156  loss_rpn_loc: 0.0332  time: 0.3236  data_time: 0.1149  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:01:46 d2.utils.events]: \u001b[0m eta: 1:59:51  iter: 18059  total_loss: 0.2494  loss_cls: 0.01811  loss_box_reg: 0.03228  loss_mask: 0.1727  loss_rpn_cls: 0.002506  loss_rpn_loc: 0.02402  time: 0.3236  data_time: 0.1149  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:01:52 d2.utils.events]: \u001b[0m eta: 1:59:41  iter: 18079  total_loss: 0.2813  loss_cls: 0.0236  loss_box_reg: 0.05203  loss_mask: 0.1591  loss_rpn_cls: 0.001729  loss_rpn_loc: 0.02652  time: 0.3236  data_time: 0.1145  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:01:59 d2.utils.events]: \u001b[0m eta: 1:59:32  iter: 18099  total_loss: 0.2846  loss_cls: 0.02883  loss_box_reg: 0.06235  loss_mask: 0.1654  loss_rpn_cls: 0.004794  loss_rpn_loc: 0.02213  time: 0.3236  data_time: 0.1143  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:02:05 d2.utils.events]: \u001b[0m eta: 1:59:18  iter: 18119  total_loss: 0.2936  loss_cls: 0.0277  loss_box_reg: 0.06181  loss_mask: 0.179  loss_rpn_cls: 0.002948  loss_rpn_loc: 0.03039  time: 0.3236  data_time: 0.1142  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:02:12 d2.utils.events]: \u001b[0m eta: 1:59:13  iter: 18139  total_loss: 0.2904  loss_cls: 0.03026  loss_box_reg: 0.05749  loss_mask: 0.1612  loss_rpn_cls: 0.002503  loss_rpn_loc: 0.02731  time: 0.3236  data_time: 0.1152  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:02:18 d2.utils.events]: \u001b[0m eta: 1:59:07  iter: 18159  total_loss: 0.3519  loss_cls: 0.03496  loss_box_reg: 0.06411  loss_mask: 0.1691  loss_rpn_cls: 0.00422  loss_rpn_loc: 0.02746  time: 0.3236  data_time: 0.1160  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:02:25 d2.utils.events]: \u001b[0m eta: 1:58:55  iter: 18179  total_loss: 0.2915  loss_cls: 0.03018  loss_box_reg: 0.06213  loss_mask: 0.1735  loss_rpn_cls: 0.002778  loss_rpn_loc: 0.02362  time: 0.3236  data_time: 0.1160  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:02:31 d2.utils.events]: \u001b[0m eta: 1:58:53  iter: 18199  total_loss: 0.2672  loss_cls: 0.02078  loss_box_reg: 0.04659  loss_mask: 0.1551  loss_rpn_cls: 0.003804  loss_rpn_loc: 0.02232  time: 0.3236  data_time: 0.1147  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:02:38 d2.utils.events]: \u001b[0m eta: 1:58:44  iter: 18219  total_loss: 0.2513  loss_cls: 0.02912  loss_box_reg: 0.04829  loss_mask: 0.1576  loss_rpn_cls: 0.003122  loss_rpn_loc: 0.02037  time: 0.3236  data_time: 0.1152  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:02:44 d2.utils.events]: \u001b[0m eta: 1:58:36  iter: 18239  total_loss: 0.2506  loss_cls: 0.02491  loss_box_reg: 0.04765  loss_mask: 0.1504  loss_rpn_cls: 0.002554  loss_rpn_loc: 0.01703  time: 0.3236  data_time: 0.1171  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:02:51 d2.utils.events]: \u001b[0m eta: 1:58:31  iter: 18259  total_loss: 0.2856  loss_cls: 0.02314  loss_box_reg: 0.0616  loss_mask: 0.1564  loss_rpn_cls: 0.003304  loss_rpn_loc: 0.02988  time: 0.3236  data_time: 0.1165  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:02:58 d2.utils.events]: \u001b[0m eta: 1:58:27  iter: 18279  total_loss: 0.3165  loss_cls: 0.02778  loss_box_reg: 0.05126  loss_mask: 0.2006  loss_rpn_cls: 0.002363  loss_rpn_loc: 0.02349  time: 0.3236  data_time: 0.1153  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:03:04 d2.utils.events]: \u001b[0m eta: 1:58:16  iter: 18299  total_loss: 0.2766  loss_cls: 0.02804  loss_box_reg: 0.05388  loss_mask: 0.1667  loss_rpn_cls: 0.003664  loss_rpn_loc: 0.02284  time: 0.3236  data_time: 0.1164  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:03:11 d2.utils.events]: \u001b[0m eta: 1:58:10  iter: 18319  total_loss: 0.3252  loss_cls: 0.03714  loss_box_reg: 0.07041  loss_mask: 0.1827  loss_rpn_cls: 0.002517  loss_rpn_loc: 0.02633  time: 0.3237  data_time: 0.1155  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:03:17 d2.utils.events]: \u001b[0m eta: 1:58:00  iter: 18339  total_loss: 0.2812  loss_cls: 0.02938  loss_box_reg: 0.05607  loss_mask: 0.1513  loss_rpn_cls: 0.004282  loss_rpn_loc: 0.02784  time: 0.3237  data_time: 0.1157  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:03:24 d2.utils.events]: \u001b[0m eta: 1:57:53  iter: 18359  total_loss: 0.3001  loss_cls: 0.02411  loss_box_reg: 0.05956  loss_mask: 0.1746  loss_rpn_cls: 0.002152  loss_rpn_loc: 0.0327  time: 0.3237  data_time: 0.1161  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:03:30 d2.utils.events]: \u001b[0m eta: 1:57:46  iter: 18379  total_loss: 0.2627  loss_cls: 0.02361  loss_box_reg: 0.03888  loss_mask: 0.1575  loss_rpn_cls: 0.0009866  loss_rpn_loc: 0.02001  time: 0.3237  data_time: 0.1178  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:03:37 d2.utils.events]: \u001b[0m eta: 1:57:39  iter: 18399  total_loss: 0.2663  loss_cls: 0.02371  loss_box_reg: 0.04802  loss_mask: 0.1543  loss_rpn_cls: 0.001548  loss_rpn_loc: 0.02177  time: 0.3237  data_time: 0.1164  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:03:44 d2.utils.events]: \u001b[0m eta: 1:57:29  iter: 18419  total_loss: 0.3048  loss_cls: 0.02939  loss_box_reg: 0.05756  loss_mask: 0.1691  loss_rpn_cls: 0.003269  loss_rpn_loc: 0.02688  time: 0.3237  data_time: 0.1166  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:03:50 d2.utils.events]: \u001b[0m eta: 1:57:22  iter: 18439  total_loss: 0.2552  loss_cls: 0.02387  loss_box_reg: 0.04744  loss_mask: 0.1473  loss_rpn_cls: 0.001744  loss_rpn_loc: 0.01674  time: 0.3237  data_time: 0.1156  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:03:57 d2.utils.events]: \u001b[0m eta: 1:57:16  iter: 18459  total_loss: 0.2605  loss_cls: 0.02267  loss_box_reg: 0.04842  loss_mask: 0.1614  loss_rpn_cls: 0.001446  loss_rpn_loc: 0.02197  time: 0.3237  data_time: 0.1155  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:04:03 d2.utils.events]: \u001b[0m eta: 1:57:05  iter: 18479  total_loss: 0.2858  loss_cls: 0.0222  loss_box_reg: 0.04936  loss_mask: 0.1693  loss_rpn_cls: 0.0035  loss_rpn_loc: 0.01865  time: 0.3237  data_time: 0.1160  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:04:10 d2.utils.events]: \u001b[0m eta: 1:56:56  iter: 18499  total_loss: 0.2959  loss_cls: 0.02873  loss_box_reg: 0.05143  loss_mask: 0.1632  loss_rpn_cls: 0.003703  loss_rpn_loc: 0.02965  time: 0.3237  data_time: 0.1148  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:04:16 d2.utils.events]: \u001b[0m eta: 1:56:50  iter: 18519  total_loss: 0.2532  loss_cls: 0.02696  loss_box_reg: 0.05255  loss_mask: 0.1487  loss_rpn_cls: 0.003543  loss_rpn_loc: 0.01569  time: 0.3237  data_time: 0.1153  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:04:23 d2.utils.events]: \u001b[0m eta: 1:56:43  iter: 18539  total_loss: 0.3058  loss_cls: 0.02679  loss_box_reg: 0.06122  loss_mask: 0.1722  loss_rpn_cls: 0.004092  loss_rpn_loc: 0.03065  time: 0.3237  data_time: 0.1147  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:04:30 d2.utils.events]: \u001b[0m eta: 1:56:39  iter: 18559  total_loss: 0.302  loss_cls: 0.02602  loss_box_reg: 0.06258  loss_mask: 0.1689  loss_rpn_cls: 0.002438  loss_rpn_loc: 0.02714  time: 0.3237  data_time: 0.1153  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:04:37 d2.utils.events]: \u001b[0m eta: 1:56:34  iter: 18579  total_loss: 0.2642  loss_cls: 0.02375  loss_box_reg: 0.04244  loss_mask: 0.148  loss_rpn_cls: 0.001822  loss_rpn_loc: 0.02233  time: 0.3237  data_time: 0.1178  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:04:43 d2.utils.events]: \u001b[0m eta: 1:56:26  iter: 18599  total_loss: 0.2927  loss_cls: 0.03678  loss_box_reg: 0.05832  loss_mask: 0.1743  loss_rpn_cls: 0.004307  loss_rpn_loc: 0.03174  time: 0.3237  data_time: 0.1156  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:04:50 d2.utils.events]: \u001b[0m eta: 1:56:23  iter: 18619  total_loss: 0.272  loss_cls: 0.02041  loss_box_reg: 0.04527  loss_mask: 0.1603  loss_rpn_cls: 0.001975  loss_rpn_loc: 0.02341  time: 0.3238  data_time: 0.1169  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:04:56 d2.utils.events]: \u001b[0m eta: 1:56:17  iter: 18639  total_loss: 0.2901  loss_cls: 0.02824  loss_box_reg: 0.06047  loss_mask: 0.1635  loss_rpn_cls: 0.002063  loss_rpn_loc: 0.02174  time: 0.3238  data_time: 0.1149  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:05:03 d2.utils.events]: \u001b[0m eta: 1:56:11  iter: 18659  total_loss: 0.2761  loss_cls: 0.02659  loss_box_reg: 0.0502  loss_mask: 0.1544  loss_rpn_cls: 0.002486  loss_rpn_loc: 0.02415  time: 0.3238  data_time: 0.1156  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:05:09 d2.utils.events]: \u001b[0m eta: 1:56:08  iter: 18679  total_loss: 0.221  loss_cls: 0.0215  loss_box_reg: 0.04106  loss_mask: 0.1334  loss_rpn_cls: 0.002523  loss_rpn_loc: 0.02247  time: 0.3238  data_time: 0.1155  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:05:16 d2.utils.events]: \u001b[0m eta: 1:56:05  iter: 18699  total_loss: 0.2898  loss_cls: 0.02557  loss_box_reg: 0.04978  loss_mask: 0.1635  loss_rpn_cls: 0.003448  loss_rpn_loc: 0.02123  time: 0.3238  data_time: 0.1160  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:05:23 d2.utils.events]: \u001b[0m eta: 1:56:03  iter: 18719  total_loss: 0.2485  loss_cls: 0.02661  loss_box_reg: 0.04526  loss_mask: 0.1495  loss_rpn_cls: 0.001075  loss_rpn_loc: 0.01609  time: 0.3238  data_time: 0.1155  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:05:30 d2.utils.events]: \u001b[0m eta: 1:56:02  iter: 18739  total_loss: 0.3274  loss_cls: 0.02843  loss_box_reg: 0.05984  loss_mask: 0.1871  loss_rpn_cls: 0.001726  loss_rpn_loc: 0.02979  time: 0.3238  data_time: 0.1171  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:05:36 d2.utils.events]: \u001b[0m eta: 1:56:01  iter: 18759  total_loss: 0.3074  loss_cls: 0.02639  loss_box_reg: 0.05709  loss_mask: 0.163  loss_rpn_cls: 0.001447  loss_rpn_loc: 0.0232  time: 0.3238  data_time: 0.1178  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:05:43 d2.utils.events]: \u001b[0m eta: 1:56:02  iter: 18779  total_loss: 0.3189  loss_cls: 0.03108  loss_box_reg: 0.06111  loss_mask: 0.1774  loss_rpn_cls: 0.005373  loss_rpn_loc: 0.03216  time: 0.3238  data_time: 0.1152  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:05:50 d2.utils.events]: \u001b[0m eta: 1:55:55  iter: 18799  total_loss: 0.2943  loss_cls: 0.03659  loss_box_reg: 0.06047  loss_mask: 0.174  loss_rpn_cls: 0.004991  loss_rpn_loc: 0.02881  time: 0.3238  data_time: 0.1171  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:05:56 d2.utils.events]: \u001b[0m eta: 1:55:51  iter: 18819  total_loss: 0.276  loss_cls: 0.02681  loss_box_reg: 0.05443  loss_mask: 0.1691  loss_rpn_cls: 0.003075  loss_rpn_loc: 0.02292  time: 0.3239  data_time: 0.1160  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:06:03 d2.utils.events]: \u001b[0m eta: 1:55:46  iter: 18839  total_loss: 0.2722  loss_cls: 0.01854  loss_box_reg: 0.0461  loss_mask: 0.1642  loss_rpn_cls: 0.003484  loss_rpn_loc: 0.0217  time: 0.3239  data_time: 0.1161  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:06:10 d2.utils.events]: \u001b[0m eta: 1:55:48  iter: 18859  total_loss: 0.2972  loss_cls: 0.03276  loss_box_reg: 0.06296  loss_mask: 0.1799  loss_rpn_cls: 0.003011  loss_rpn_loc: 0.02666  time: 0.3239  data_time: 0.1160  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:06:17 d2.utils.events]: \u001b[0m eta: 1:55:43  iter: 18879  total_loss: 0.2918  loss_cls: 0.03265  loss_box_reg: 0.05275  loss_mask: 0.1661  loss_rpn_cls: 0.002996  loss_rpn_loc: 0.0207  time: 0.3239  data_time: 0.1190  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:06:23 d2.utils.events]: \u001b[0m eta: 1:55:43  iter: 18899  total_loss: 0.2558  loss_cls: 0.02405  loss_box_reg: 0.04198  loss_mask: 0.152  loss_rpn_cls: 0.002315  loss_rpn_loc: 0.02703  time: 0.3239  data_time: 0.1168  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:06:30 d2.utils.events]: \u001b[0m eta: 1:55:39  iter: 18919  total_loss: 0.2866  loss_cls: 0.02172  loss_box_reg: 0.05332  loss_mask: 0.1694  loss_rpn_cls: 0.003226  loss_rpn_loc: 0.02467  time: 0.3239  data_time: 0.1164  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:06:36 d2.utils.events]: \u001b[0m eta: 1:55:32  iter: 18939  total_loss: 0.31  loss_cls: 0.03254  loss_box_reg: 0.0609  loss_mask: 0.1559  loss_rpn_cls: 0.002398  loss_rpn_loc: 0.03045  time: 0.3239  data_time: 0.1169  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:06:43 d2.utils.events]: \u001b[0m eta: 1:55:26  iter: 18959  total_loss: 0.2774  loss_cls: 0.02513  loss_box_reg: 0.05721  loss_mask: 0.158  loss_rpn_cls: 0.002716  loss_rpn_loc: 0.02805  time: 0.3239  data_time: 0.1192  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:06:50 d2.utils.events]: \u001b[0m eta: 1:55:25  iter: 18979  total_loss: 0.2384  loss_cls: 0.02157  loss_box_reg: 0.04787  loss_mask: 0.1518  loss_rpn_cls: 0.002416  loss_rpn_loc: 0.02328  time: 0.3239  data_time: 0.1188  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:06:57 d2.utils.events]: \u001b[0m eta: 1:55:27  iter: 18999  total_loss: 0.3152  loss_cls: 0.02397  loss_box_reg: 0.06081  loss_mask: 0.1818  loss_rpn_cls: 0.003543  loss_rpn_loc: 0.02854  time: 0.3240  data_time: 0.1171  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:07:04 d2.utils.events]: \u001b[0m eta: 1:55:27  iter: 19019  total_loss: 0.3033  loss_cls: 0.03164  loss_box_reg: 0.07164  loss_mask: 0.1659  loss_rpn_cls: 0.002584  loss_rpn_loc: 0.0295  time: 0.3240  data_time: 0.1158  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:07:10 d2.utils.events]: \u001b[0m eta: 1:55:21  iter: 19039  total_loss: 0.2567  loss_cls: 0.02402  loss_box_reg: 0.0453  loss_mask: 0.1595  loss_rpn_cls: 0.001301  loss_rpn_loc: 0.01691  time: 0.3240  data_time: 0.1154  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:07:17 d2.utils.events]: \u001b[0m eta: 1:55:20  iter: 19059  total_loss: 0.2548  loss_cls: 0.02531  loss_box_reg: 0.05209  loss_mask: 0.1459  loss_rpn_cls: 0.00405  loss_rpn_loc: 0.02822  time: 0.3240  data_time: 0.1162  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:07:24 d2.utils.events]: \u001b[0m eta: 1:55:15  iter: 19079  total_loss: 0.2393  loss_cls: 0.02256  loss_box_reg: 0.04591  loss_mask: 0.1451  loss_rpn_cls: 0.001668  loss_rpn_loc: 0.02162  time: 0.3240  data_time: 0.1176  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:07:30 d2.utils.events]: \u001b[0m eta: 1:55:12  iter: 19099  total_loss: 0.2721  loss_cls: 0.02805  loss_box_reg: 0.05256  loss_mask: 0.1678  loss_rpn_cls: 0.003238  loss_rpn_loc: 0.0218  time: 0.3240  data_time: 0.1157  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:07:37 d2.utils.events]: \u001b[0m eta: 1:55:12  iter: 19119  total_loss: 0.2507  loss_cls: 0.01855  loss_box_reg: 0.03854  loss_mask: 0.1577  loss_rpn_cls: 0.00214  loss_rpn_loc: 0.02315  time: 0.3240  data_time: 0.1162  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:07:44 d2.utils.events]: \u001b[0m eta: 1:55:12  iter: 19139  total_loss: 0.2708  loss_cls: 0.02661  loss_box_reg: 0.05084  loss_mask: 0.1619  loss_rpn_cls: 0.002854  loss_rpn_loc: 0.02257  time: 0.3240  data_time: 0.1158  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:07:50 d2.utils.events]: \u001b[0m eta: 1:55:08  iter: 19159  total_loss: 0.255  loss_cls: 0.02345  loss_box_reg: 0.05823  loss_mask: 0.1642  loss_rpn_cls: 0.004783  loss_rpn_loc: 0.02331  time: 0.3240  data_time: 0.1169  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:07:57 d2.utils.events]: \u001b[0m eta: 1:55:01  iter: 19179  total_loss: 0.3007  loss_cls: 0.03021  loss_box_reg: 0.06432  loss_mask: 0.1665  loss_rpn_cls: 0.004302  loss_rpn_loc: 0.02887  time: 0.3240  data_time: 0.1190  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:08:04 d2.utils.events]: \u001b[0m eta: 1:54:56  iter: 19199  total_loss: 0.2578  loss_cls: 0.0296  loss_box_reg: 0.06271  loss_mask: 0.1455  loss_rpn_cls: 0.003185  loss_rpn_loc: 0.02318  time: 0.3241  data_time: 0.1173  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:08:10 d2.utils.events]: \u001b[0m eta: 1:54:51  iter: 19219  total_loss: 0.2602  loss_cls: 0.02607  loss_box_reg: 0.05709  loss_mask: 0.1739  loss_rpn_cls: 0.002118  loss_rpn_loc: 0.01846  time: 0.3241  data_time: 0.1147  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:08:17 d2.utils.events]: \u001b[0m eta: 1:54:44  iter: 19239  total_loss: 0.2527  loss_cls: 0.02685  loss_box_reg: 0.0425  loss_mask: 0.1644  loss_rpn_cls: 0.001425  loss_rpn_loc: 0.01825  time: 0.3241  data_time: 0.1153  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:08:24 d2.utils.events]: \u001b[0m eta: 1:54:37  iter: 19259  total_loss: 0.2869  loss_cls: 0.02367  loss_box_reg: 0.05446  loss_mask: 0.1693  loss_rpn_cls: 0.001942  loss_rpn_loc: 0.02701  time: 0.3241  data_time: 0.1170  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:08:30 d2.utils.events]: \u001b[0m eta: 1:54:29  iter: 19279  total_loss: 0.2397  loss_cls: 0.02063  loss_box_reg: 0.04562  loss_mask: 0.1684  loss_rpn_cls: 0.001728  loss_rpn_loc: 0.01744  time: 0.3241  data_time: 0.1156  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:08:37 d2.utils.events]: \u001b[0m eta: 1:54:23  iter: 19299  total_loss: 0.2608  loss_cls: 0.02892  loss_box_reg: 0.05339  loss_mask: 0.1449  loss_rpn_cls: 0.001744  loss_rpn_loc: 0.02702  time: 0.3241  data_time: 0.1164  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:08:43 d2.utils.events]: \u001b[0m eta: 1:54:17  iter: 19319  total_loss: 0.2919  loss_cls: 0.02771  loss_box_reg: 0.06212  loss_mask: 0.1625  loss_rpn_cls: 0.002328  loss_rpn_loc: 0.0344  time: 0.3241  data_time: 0.1140  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:08:50 d2.utils.events]: \u001b[0m eta: 1:54:10  iter: 19339  total_loss: 0.2818  loss_cls: 0.02495  loss_box_reg: 0.06071  loss_mask: 0.1603  loss_rpn_cls: 0.00301  loss_rpn_loc: 0.02834  time: 0.3241  data_time: 0.1154  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:08:56 d2.utils.events]: \u001b[0m eta: 1:54:03  iter: 19359  total_loss: 0.2712  loss_cls: 0.02305  loss_box_reg: 0.05383  loss_mask: 0.1712  loss_rpn_cls: 0.002294  loss_rpn_loc: 0.01687  time: 0.3241  data_time: 0.1174  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:09:03 d2.utils.events]: \u001b[0m eta: 1:53:54  iter: 19379  total_loss: 0.2784  loss_cls: 0.02774  loss_box_reg: 0.05168  loss_mask: 0.1684  loss_rpn_cls: 0.004247  loss_rpn_loc: 0.02158  time: 0.3241  data_time: 0.1155  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:09:09 d2.utils.events]: \u001b[0m eta: 1:53:49  iter: 19399  total_loss: 0.2773  loss_cls: 0.02266  loss_box_reg: 0.04749  loss_mask: 0.1797  loss_rpn_cls: 0.001047  loss_rpn_loc: 0.02482  time: 0.3241  data_time: 0.1149  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:09:16 d2.utils.events]: \u001b[0m eta: 1:53:44  iter: 19419  total_loss: 0.2543  loss_cls: 0.02162  loss_box_reg: 0.0444  loss_mask: 0.1566  loss_rpn_cls: 0.003059  loss_rpn_loc: 0.02117  time: 0.3241  data_time: 0.1150  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:09:22 d2.utils.events]: \u001b[0m eta: 1:53:38  iter: 19439  total_loss: 0.1962  loss_cls: 0.02263  loss_box_reg: 0.03744  loss_mask: 0.1334  loss_rpn_cls: 0.0008365  loss_rpn_loc: 0.01338  time: 0.3241  data_time: 0.1151  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:09:29 d2.utils.events]: \u001b[0m eta: 1:53:31  iter: 19459  total_loss: 0.3016  loss_cls: 0.02754  loss_box_reg: 0.05864  loss_mask: 0.1669  loss_rpn_cls: 0.002473  loss_rpn_loc: 0.02207  time: 0.3241  data_time: 0.1186  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:09:36 d2.utils.events]: \u001b[0m eta: 1:53:24  iter: 19479  total_loss: 0.3146  loss_cls: 0.03214  loss_box_reg: 0.06119  loss_mask: 0.1652  loss_rpn_cls: 0.00232  loss_rpn_loc: 0.03126  time: 0.3241  data_time: 0.1143  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:09:43 d2.utils.events]: \u001b[0m eta: 1:53:29  iter: 19499  total_loss: 0.2762  loss_cls: 0.02936  loss_box_reg: 0.06264  loss_mask: 0.1563  loss_rpn_cls: 0.001415  loss_rpn_loc: 0.02228  time: 0.3241  data_time: 0.1153  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:09:49 d2.utils.events]: \u001b[0m eta: 1:53:22  iter: 19519  total_loss: 0.2829  loss_cls: 0.02943  loss_box_reg: 0.0487  loss_mask: 0.1635  loss_rpn_cls: 0.003224  loss_rpn_loc: 0.02444  time: 0.3241  data_time: 0.1152  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:09:56 d2.utils.events]: \u001b[0m eta: 1:53:13  iter: 19539  total_loss: 0.2933  loss_cls: 0.02904  loss_box_reg: 0.05549  loss_mask: 0.1639  loss_rpn_cls: 0.00386  loss_rpn_loc: 0.02662  time: 0.3241  data_time: 0.1160  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:10:02 d2.utils.events]: \u001b[0m eta: 1:53:06  iter: 19559  total_loss: 0.2781  loss_cls: 0.02629  loss_box_reg: 0.05292  loss_mask: 0.1671  loss_rpn_cls: 0.003533  loss_rpn_loc: 0.02304  time: 0.3241  data_time: 0.1167  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:10:09 d2.utils.events]: \u001b[0m eta: 1:52:56  iter: 19579  total_loss: 0.2968  loss_cls: 0.03134  loss_box_reg: 0.05986  loss_mask: 0.1632  loss_rpn_cls: 0.00263  loss_rpn_loc: 0.03134  time: 0.3241  data_time: 0.1159  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:10:15 d2.utils.events]: \u001b[0m eta: 1:52:46  iter: 19599  total_loss: 0.2391  loss_cls: 0.02256  loss_box_reg: 0.04175  loss_mask: 0.1468  loss_rpn_cls: 0.00288  loss_rpn_loc: 0.01731  time: 0.3241  data_time: 0.1142  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:10:22 d2.utils.events]: \u001b[0m eta: 1:52:38  iter: 19619  total_loss: 0.2623  loss_cls: 0.02914  loss_box_reg: 0.04616  loss_mask: 0.1527  loss_rpn_cls: 0.0009946  loss_rpn_loc: 0.02441  time: 0.3241  data_time: 0.1141  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:10:28 d2.utils.events]: \u001b[0m eta: 1:52:30  iter: 19639  total_loss: 0.2418  loss_cls: 0.02256  loss_box_reg: 0.04296  loss_mask: 0.1524  loss_rpn_cls: 0.002081  loss_rpn_loc: 0.02094  time: 0.3241  data_time: 0.1148  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:10:35 d2.utils.events]: \u001b[0m eta: 1:52:21  iter: 19659  total_loss: 0.2871  loss_cls: 0.02187  loss_box_reg: 0.04345  loss_mask: 0.1781  loss_rpn_cls: 0.002739  loss_rpn_loc: 0.02081  time: 0.3241  data_time: 0.1136  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:10:41 d2.utils.events]: \u001b[0m eta: 1:52:07  iter: 19679  total_loss: 0.2582  loss_cls: 0.02105  loss_box_reg: 0.04641  loss_mask: 0.1554  loss_rpn_cls: 0.003441  loss_rpn_loc: 0.02139  time: 0.3241  data_time: 0.1153  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:10:47 d2.utils.events]: \u001b[0m eta: 1:51:51  iter: 19699  total_loss: 0.3047  loss_cls: 0.02675  loss_box_reg: 0.0599  loss_mask: 0.1677  loss_rpn_cls: 0.002972  loss_rpn_loc: 0.03116  time: 0.3241  data_time: 0.1163  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:10:54 d2.utils.events]: \u001b[0m eta: 1:51:43  iter: 19719  total_loss: 0.2807  loss_cls: 0.02692  loss_box_reg: 0.04984  loss_mask: 0.1579  loss_rpn_cls: 0.002105  loss_rpn_loc: 0.02489  time: 0.3241  data_time: 0.1144  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:11:01 d2.utils.events]: \u001b[0m eta: 1:51:36  iter: 19739  total_loss: 0.246  loss_cls: 0.01992  loss_box_reg: 0.04141  loss_mask: 0.165  loss_rpn_cls: 0.001686  loss_rpn_loc: 0.01983  time: 0.3241  data_time: 0.1153  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:11:07 d2.utils.events]: \u001b[0m eta: 1:51:27  iter: 19759  total_loss: 0.2311  loss_cls: 0.02238  loss_box_reg: 0.04267  loss_mask: 0.1503  loss_rpn_cls: 0.002077  loss_rpn_loc: 0.02307  time: 0.3241  data_time: 0.1158  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:11:14 d2.utils.events]: \u001b[0m eta: 1:51:16  iter: 19779  total_loss: 0.2546  loss_cls: 0.02012  loss_box_reg: 0.04237  loss_mask: 0.157  loss_rpn_cls: 0.002432  loss_rpn_loc: 0.01457  time: 0.3241  data_time: 0.1147  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:11:21 d2.utils.events]: \u001b[0m eta: 1:51:11  iter: 19799  total_loss: 0.2471  loss_cls: 0.02321  loss_box_reg: 0.04584  loss_mask: 0.147  loss_rpn_cls: 0.001529  loss_rpn_loc: 0.01941  time: 0.3242  data_time: 0.1147  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:11:27 d2.utils.events]: \u001b[0m eta: 1:51:04  iter: 19819  total_loss: 0.2828  loss_cls: 0.02201  loss_box_reg: 0.04829  loss_mask: 0.1526  loss_rpn_cls: 0.001592  loss_rpn_loc: 0.02368  time: 0.3242  data_time: 0.1148  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:11:34 d2.utils.events]: \u001b[0m eta: 1:50:57  iter: 19839  total_loss: 0.2717  loss_cls: 0.026  loss_box_reg: 0.05431  loss_mask: 0.1618  loss_rpn_cls: 0.003696  loss_rpn_loc: 0.02411  time: 0.3242  data_time: 0.1144  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:11:40 d2.utils.events]: \u001b[0m eta: 1:50:51  iter: 19859  total_loss: 0.2849  loss_cls: 0.02723  loss_box_reg: 0.05875  loss_mask: 0.1655  loss_rpn_cls: 0.002346  loss_rpn_loc: 0.0179  time: 0.3242  data_time: 0.1144  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:11:47 d2.utils.events]: \u001b[0m eta: 1:50:37  iter: 19879  total_loss: 0.2554  loss_cls: 0.02958  loss_box_reg: 0.05337  loss_mask: 0.1486  loss_rpn_cls: 0.002614  loss_rpn_loc: 0.02832  time: 0.3242  data_time: 0.1143  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:11:54 d2.utils.events]: \u001b[0m eta: 1:50:26  iter: 19899  total_loss: 0.3079  loss_cls: 0.02884  loss_box_reg: 0.06545  loss_mask: 0.1627  loss_rpn_cls: 0.006683  loss_rpn_loc: 0.02943  time: 0.3242  data_time: 0.1140  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:12:00 d2.utils.events]: \u001b[0m eta: 1:50:15  iter: 19919  total_loss: 0.2725  loss_cls: 0.02606  loss_box_reg: 0.05522  loss_mask: 0.1617  loss_rpn_cls: 0.002788  loss_rpn_loc: 0.0229  time: 0.3242  data_time: 0.1130  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:12:07 d2.utils.events]: \u001b[0m eta: 1:50:07  iter: 19939  total_loss: 0.2838  loss_cls: 0.02956  loss_box_reg: 0.05488  loss_mask: 0.1644  loss_rpn_cls: 0.001896  loss_rpn_loc: 0.03329  time: 0.3242  data_time: 0.1174  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:12:13 d2.utils.events]: \u001b[0m eta: 1:50:02  iter: 19959  total_loss: 0.2837  loss_cls: 0.02842  loss_box_reg: 0.0555  loss_mask: 0.1565  loss_rpn_cls: 0.002401  loss_rpn_loc: 0.02619  time: 0.3242  data_time: 0.1154  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:12:19 d2.utils.events]: \u001b[0m eta: 1:49:45  iter: 19979  total_loss: 0.2596  loss_cls: 0.02445  loss_box_reg: 0.05241  loss_mask: 0.1653  loss_rpn_cls: 0.00141  loss_rpn_loc: 0.02307  time: 0.3242  data_time: 0.1145  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:12:27 d2.utils.events]: \u001b[0m eta: 1:49:35  iter: 19999  total_loss: 0.2376  loss_cls: 0.02098  loss_box_reg: 0.04897  loss_mask: 0.1345  loss_rpn_cls: 0.001549  loss_rpn_loc: 0.01946  time: 0.3242  data_time: 0.1138  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:12:33 d2.utils.events]: \u001b[0m eta: 1:49:26  iter: 20019  total_loss: 0.2547  loss_cls: 0.02664  loss_box_reg: 0.04622  loss_mask: 0.1662  loss_rpn_cls: 0.003755  loss_rpn_loc: 0.02107  time: 0.3242  data_time: 0.1160  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:12:40 d2.utils.events]: \u001b[0m eta: 1:49:19  iter: 20039  total_loss: 0.2757  loss_cls: 0.02748  loss_box_reg: 0.04786  loss_mask: 0.1619  loss_rpn_cls: 0.001597  loss_rpn_loc: 0.01707  time: 0.3242  data_time: 0.1156  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:12:46 d2.utils.events]: \u001b[0m eta: 1:49:13  iter: 20059  total_loss: 0.272  loss_cls: 0.02407  loss_box_reg: 0.05188  loss_mask: 0.1471  loss_rpn_cls: 0.00173  loss_rpn_loc: 0.02129  time: 0.3242  data_time: 0.1167  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:12:53 d2.utils.events]: \u001b[0m eta: 1:49:04  iter: 20079  total_loss: 0.2285  loss_cls: 0.01849  loss_box_reg: 0.04275  loss_mask: 0.1395  loss_rpn_cls: 0.001287  loss_rpn_loc: 0.01862  time: 0.3242  data_time: 0.1151  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:12:59 d2.utils.events]: \u001b[0m eta: 1:48:56  iter: 20099  total_loss: 0.2741  loss_cls: 0.0251  loss_box_reg: 0.05285  loss_mask: 0.1689  loss_rpn_cls: 0.002444  loss_rpn_loc: 0.02367  time: 0.3242  data_time: 0.1156  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:13:06 d2.utils.events]: \u001b[0m eta: 1:48:39  iter: 20119  total_loss: 0.3023  loss_cls: 0.03035  loss_box_reg: 0.05487  loss_mask: 0.1502  loss_rpn_cls: 0.001783  loss_rpn_loc: 0.03073  time: 0.3242  data_time: 0.1132  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:13:12 d2.utils.events]: \u001b[0m eta: 1:48:32  iter: 20139  total_loss: 0.283  loss_cls: 0.02909  loss_box_reg: 0.05788  loss_mask: 0.1529  loss_rpn_cls: 0.001536  loss_rpn_loc: 0.03409  time: 0.3242  data_time: 0.1139  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:13:19 d2.utils.events]: \u001b[0m eta: 1:48:28  iter: 20159  total_loss: 0.2449  loss_cls: 0.01999  loss_box_reg: 0.04922  loss_mask: 0.1575  loss_rpn_cls: 0.001144  loss_rpn_loc: 0.01767  time: 0.3242  data_time: 0.1161  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:13:26 d2.utils.events]: \u001b[0m eta: 1:48:21  iter: 20179  total_loss: 0.2709  loss_cls: 0.01997  loss_box_reg: 0.04411  loss_mask: 0.1465  loss_rpn_cls: 0.001798  loss_rpn_loc: 0.02564  time: 0.3242  data_time: 0.1157  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:13:33 d2.utils.events]: \u001b[0m eta: 1:48:12  iter: 20199  total_loss: 0.2231  loss_cls: 0.01683  loss_box_reg: 0.04048  loss_mask: 0.1417  loss_rpn_cls: 0.0008757  loss_rpn_loc: 0.02034  time: 0.3242  data_time: 0.1144  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:13:39 d2.utils.events]: \u001b[0m eta: 1:48:04  iter: 20219  total_loss: 0.2902  loss_cls: 0.03027  loss_box_reg: 0.0642  loss_mask: 0.1614  loss_rpn_cls: 0.001954  loss_rpn_loc: 0.02833  time: 0.3243  data_time: 0.1173  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:13:46 d2.utils.events]: \u001b[0m eta: 1:48:02  iter: 20239  total_loss: 0.2574  loss_cls: 0.02912  loss_box_reg: 0.05227  loss_mask: 0.1511  loss_rpn_cls: 0.002962  loss_rpn_loc: 0.02342  time: 0.3243  data_time: 0.1176  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:13:53 d2.utils.events]: \u001b[0m eta: 1:47:54  iter: 20259  total_loss: 0.2636  loss_cls: 0.02094  loss_box_reg: 0.05095  loss_mask: 0.1588  loss_rpn_cls: 0.001661  loss_rpn_loc: 0.02599  time: 0.3243  data_time: 0.1159  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:13:59 d2.utils.events]: \u001b[0m eta: 1:47:45  iter: 20279  total_loss: 0.2413  loss_cls: 0.02213  loss_box_reg: 0.046  loss_mask: 0.1469  loss_rpn_cls: 0.001447  loss_rpn_loc: 0.02184  time: 0.3243  data_time: 0.1140  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:14:06 d2.utils.events]: \u001b[0m eta: 1:47:37  iter: 20299  total_loss: 0.2478  loss_cls: 0.02664  loss_box_reg: 0.05005  loss_mask: 0.1463  loss_rpn_cls: 0.001051  loss_rpn_loc: 0.02022  time: 0.3243  data_time: 0.1160  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:14:12 d2.utils.events]: \u001b[0m eta: 1:47:31  iter: 20319  total_loss: 0.2736  loss_cls: 0.02679  loss_box_reg: 0.05408  loss_mask: 0.1703  loss_rpn_cls: 0.004883  loss_rpn_loc: 0.02285  time: 0.3243  data_time: 0.1175  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:14:19 d2.utils.events]: \u001b[0m eta: 1:47:25  iter: 20339  total_loss: 0.2764  loss_cls: 0.02456  loss_box_reg: 0.04639  loss_mask: 0.1345  loss_rpn_cls: 0.003184  loss_rpn_loc: 0.03157  time: 0.3243  data_time: 0.1143  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:14:26 d2.utils.events]: \u001b[0m eta: 1:47:26  iter: 20359  total_loss: 0.3548  loss_cls: 0.03116  loss_box_reg: 0.06228  loss_mask: 0.1622  loss_rpn_cls: 0.005065  loss_rpn_loc: 0.03669  time: 0.3243  data_time: 0.1164  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:14:32 d2.utils.events]: \u001b[0m eta: 1:47:24  iter: 20379  total_loss: 0.2494  loss_cls: 0.022  loss_box_reg: 0.05739  loss_mask: 0.1593  loss_rpn_cls: 0.001104  loss_rpn_loc: 0.01732  time: 0.3243  data_time: 0.1149  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:14:39 d2.utils.events]: \u001b[0m eta: 1:47:17  iter: 20399  total_loss: 0.2485  loss_cls: 0.01984  loss_box_reg: 0.04029  loss_mask: 0.1344  loss_rpn_cls: 0.001669  loss_rpn_loc: 0.01976  time: 0.3243  data_time: 0.1154  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:14:46 d2.utils.events]: \u001b[0m eta: 1:47:12  iter: 20419  total_loss: 0.2395  loss_cls: 0.02757  loss_box_reg: 0.05062  loss_mask: 0.1374  loss_rpn_cls: 0.003488  loss_rpn_loc: 0.02249  time: 0.3243  data_time: 0.1148  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:14:52 d2.utils.events]: \u001b[0m eta: 1:47:04  iter: 20439  total_loss: 0.2652  loss_cls: 0.02601  loss_box_reg: 0.04586  loss_mask: 0.1582  loss_rpn_cls: 0.00424  loss_rpn_loc: 0.02373  time: 0.3243  data_time: 0.1152  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:14:59 d2.utils.events]: \u001b[0m eta: 1:46:57  iter: 20459  total_loss: 0.261  loss_cls: 0.02489  loss_box_reg: 0.05301  loss_mask: 0.1483  loss_rpn_cls: 0.002977  loss_rpn_loc: 0.02224  time: 0.3243  data_time: 0.1142  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:15:06 d2.utils.events]: \u001b[0m eta: 1:46:52  iter: 20479  total_loss: 0.2681  loss_cls: 0.02623  loss_box_reg: 0.05706  loss_mask: 0.1492  loss_rpn_cls: 0.001012  loss_rpn_loc: 0.02011  time: 0.3243  data_time: 0.1174  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:15:12 d2.utils.events]: \u001b[0m eta: 1:46:44  iter: 20499  total_loss: 0.2361  loss_cls: 0.02077  loss_box_reg: 0.0444  loss_mask: 0.144  loss_rpn_cls: 0.002043  loss_rpn_loc: 0.01669  time: 0.3243  data_time: 0.1152  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:15:19 d2.utils.events]: \u001b[0m eta: 1:46:27  iter: 20519  total_loss: 0.2944  loss_cls: 0.0293  loss_box_reg: 0.06172  loss_mask: 0.1656  loss_rpn_cls: 0.003883  loss_rpn_loc: 0.0233  time: 0.3243  data_time: 0.1137  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:15:25 d2.utils.events]: \u001b[0m eta: 1:46:20  iter: 20539  total_loss: 0.2649  loss_cls: 0.02045  loss_box_reg: 0.04942  loss_mask: 0.1513  loss_rpn_cls: 0.002846  loss_rpn_loc: 0.02563  time: 0.3243  data_time: 0.1151  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:15:32 d2.utils.events]: \u001b[0m eta: 1:46:24  iter: 20559  total_loss: 0.2492  loss_cls: 0.02717  loss_box_reg: 0.05019  loss_mask: 0.1598  loss_rpn_cls: 0.002398  loss_rpn_loc: 0.02256  time: 0.3244  data_time: 0.1160  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:15:38 d2.utils.events]: \u001b[0m eta: 1:46:09  iter: 20579  total_loss: 0.2461  loss_cls: 0.02117  loss_box_reg: 0.03838  loss_mask: 0.1383  loss_rpn_cls: 0.001914  loss_rpn_loc: 0.01928  time: 0.3244  data_time: 0.1156  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:15:45 d2.utils.events]: \u001b[0m eta: 1:46:13  iter: 20599  total_loss: 0.2743  loss_cls: 0.0293  loss_box_reg: 0.05357  loss_mask: 0.1577  loss_rpn_cls: 0.004819  loss_rpn_loc: 0.02014  time: 0.3244  data_time: 0.1153  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:15:52 d2.utils.events]: \u001b[0m eta: 1:45:58  iter: 20619  total_loss: 0.2484  loss_cls: 0.01985  loss_box_reg: 0.05142  loss_mask: 0.1431  loss_rpn_cls: 0.001627  loss_rpn_loc: 0.02499  time: 0.3244  data_time: 0.1135  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:15:58 d2.utils.events]: \u001b[0m eta: 1:45:48  iter: 20639  total_loss: 0.2252  loss_cls: 0.02067  loss_box_reg: 0.04661  loss_mask: 0.1357  loss_rpn_cls: 0.001045  loss_rpn_loc: 0.01604  time: 0.3244  data_time: 0.1152  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:16:05 d2.utils.events]: \u001b[0m eta: 1:45:42  iter: 20659  total_loss: 0.2819  loss_cls: 0.02179  loss_box_reg: 0.05038  loss_mask: 0.1593  loss_rpn_cls: 0.004455  loss_rpn_loc: 0.024  time: 0.3244  data_time: 0.1150  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:16:11 d2.utils.events]: \u001b[0m eta: 1:45:41  iter: 20679  total_loss: 0.2476  loss_cls: 0.02874  loss_box_reg: 0.04818  loss_mask: 0.1384  loss_rpn_cls: 0.0009448  loss_rpn_loc: 0.01655  time: 0.3244  data_time: 0.1147  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:16:18 d2.utils.events]: \u001b[0m eta: 1:45:40  iter: 20699  total_loss: 0.2997  loss_cls: 0.03333  loss_box_reg: 0.07422  loss_mask: 0.16  loss_rpn_cls: 0.006139  loss_rpn_loc: 0.02997  time: 0.3244  data_time: 0.1154  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:16:24 d2.utils.events]: \u001b[0m eta: 1:45:34  iter: 20719  total_loss: 0.2981  loss_cls: 0.02578  loss_box_reg: 0.04875  loss_mask: 0.1873  loss_rpn_cls: 0.002923  loss_rpn_loc: 0.02132  time: 0.3244  data_time: 0.1139  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:16:30 d2.utils.events]: \u001b[0m eta: 1:45:13  iter: 20739  total_loss: 0.2302  loss_cls: 0.023  loss_box_reg: 0.04111  loss_mask: 0.1566  loss_rpn_cls: 0.001712  loss_rpn_loc: 0.02522  time: 0.3243  data_time: 0.1143  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:16:37 d2.utils.events]: \u001b[0m eta: 1:45:06  iter: 20759  total_loss: 0.2674  loss_cls: 0.02531  loss_box_reg: 0.05492  loss_mask: 0.1583  loss_rpn_cls: 0.001994  loss_rpn_loc: 0.02217  time: 0.3243  data_time: 0.1141  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:16:43 d2.utils.events]: \u001b[0m eta: 1:45:04  iter: 20779  total_loss: 0.2728  loss_cls: 0.03222  loss_box_reg: 0.05525  loss_mask: 0.1529  loss_rpn_cls: 0.002411  loss_rpn_loc: 0.02034  time: 0.3244  data_time: 0.1149  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:16:50 d2.utils.events]: \u001b[0m eta: 1:44:47  iter: 20799  total_loss: 0.222  loss_cls: 0.01657  loss_box_reg: 0.0401  loss_mask: 0.124  loss_rpn_cls: 0.001733  loss_rpn_loc: 0.01469  time: 0.3243  data_time: 0.1141  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:16:56 d2.utils.events]: \u001b[0m eta: 1:44:42  iter: 20819  total_loss: 0.2821  loss_cls: 0.02471  loss_box_reg: 0.05929  loss_mask: 0.173  loss_rpn_cls: 0.001146  loss_rpn_loc: 0.02576  time: 0.3243  data_time: 0.1157  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:17:03 d2.utils.events]: \u001b[0m eta: 1:44:31  iter: 20839  total_loss: 0.3012  loss_cls: 0.02507  loss_box_reg: 0.05599  loss_mask: 0.1793  loss_rpn_cls: 0.003392  loss_rpn_loc: 0.03307  time: 0.3243  data_time: 0.1138  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:17:09 d2.utils.events]: \u001b[0m eta: 1:44:20  iter: 20859  total_loss: 0.2409  loss_cls: 0.0275  loss_box_reg: 0.04454  loss_mask: 0.142  loss_rpn_cls: 0.00174  loss_rpn_loc: 0.02047  time: 0.3243  data_time: 0.1137  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:17:16 d2.utils.events]: \u001b[0m eta: 1:44:17  iter: 20879  total_loss: 0.2524  loss_cls: 0.0284  loss_box_reg: 0.06049  loss_mask: 0.1586  loss_rpn_cls: 0.001171  loss_rpn_loc: 0.02415  time: 0.3243  data_time: 0.1139  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:17:22 d2.utils.events]: \u001b[0m eta: 1:44:11  iter: 20899  total_loss: 0.2587  loss_cls: 0.02856  loss_box_reg: 0.05901  loss_mask: 0.1469  loss_rpn_cls: 0.001621  loss_rpn_loc: 0.02381  time: 0.3243  data_time: 0.1145  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:17:28 d2.utils.events]: \u001b[0m eta: 1:44:00  iter: 20919  total_loss: 0.2602  loss_cls: 0.02591  loss_box_reg: 0.04797  loss_mask: 0.155  loss_rpn_cls: 0.002468  loss_rpn_loc: 0.02539  time: 0.3243  data_time: 0.1148  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:17:35 d2.utils.events]: \u001b[0m eta: 1:43:52  iter: 20939  total_loss: 0.2843  loss_cls: 0.02468  loss_box_reg: 0.05664  loss_mask: 0.1561  loss_rpn_cls: 0.003539  loss_rpn_loc: 0.02901  time: 0.3243  data_time: 0.1142  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:17:41 d2.utils.events]: \u001b[0m eta: 1:43:43  iter: 20959  total_loss: 0.2426  loss_cls: 0.02252  loss_box_reg: 0.04137  loss_mask: 0.1563  loss_rpn_cls: 0.00326  loss_rpn_loc: 0.0236  time: 0.3243  data_time: 0.1134  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:17:48 d2.utils.events]: \u001b[0m eta: 1:43:33  iter: 20979  total_loss: 0.2187  loss_cls: 0.02046  loss_box_reg: 0.04458  loss_mask: 0.1294  loss_rpn_cls: 0.001846  loss_rpn_loc: 0.01509  time: 0.3243  data_time: 0.1148  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:17:54 d2.utils.events]: \u001b[0m eta: 1:43:25  iter: 20999  total_loss: 0.2104  loss_cls: 0.0189  loss_box_reg: 0.04274  loss_mask: 0.131  loss_rpn_cls: 0.002275  loss_rpn_loc: 0.01416  time: 0.3243  data_time: 0.1142  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:18:01 d2.utils.events]: \u001b[0m eta: 1:43:14  iter: 21019  total_loss: 0.2661  loss_cls: 0.02617  loss_box_reg: 0.05378  loss_mask: 0.1763  loss_rpn_cls: 0.004447  loss_rpn_loc: 0.02946  time: 0.3243  data_time: 0.1142  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:18:07 d2.utils.events]: \u001b[0m eta: 1:43:05  iter: 21039  total_loss: 0.32  loss_cls: 0.02405  loss_box_reg: 0.06016  loss_mask: 0.174  loss_rpn_cls: 0.004455  loss_rpn_loc: 0.02748  time: 0.3243  data_time: 0.1143  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:18:13 d2.utils.events]: \u001b[0m eta: 1:42:58  iter: 21059  total_loss: 0.2912  loss_cls: 0.02052  loss_box_reg: 0.05428  loss_mask: 0.1762  loss_rpn_cls: 0.003008  loss_rpn_loc: 0.02038  time: 0.3243  data_time: 0.1144  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:18:20 d2.utils.events]: \u001b[0m eta: 1:42:53  iter: 21079  total_loss: 0.3213  loss_cls: 0.04272  loss_box_reg: 0.06452  loss_mask: 0.1717  loss_rpn_cls: 0.00226  loss_rpn_loc: 0.03363  time: 0.3243  data_time: 0.1138  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:18:26 d2.utils.events]: \u001b[0m eta: 1:42:50  iter: 21099  total_loss: 0.2315  loss_cls: 0.02121  loss_box_reg: 0.04473  loss_mask: 0.1334  loss_rpn_cls: 0.002065  loss_rpn_loc: 0.02155  time: 0.3243  data_time: 0.1139  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:18:33 d2.utils.events]: \u001b[0m eta: 1:42:48  iter: 21119  total_loss: 0.2525  loss_cls: 0.02344  loss_box_reg: 0.04519  loss_mask: 0.1583  loss_rpn_cls: 0.003417  loss_rpn_loc: 0.0242  time: 0.3243  data_time: 0.1147  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:18:40 d2.utils.events]: \u001b[0m eta: 1:42:34  iter: 21139  total_loss: 0.2609  loss_cls: 0.02381  loss_box_reg: 0.04509  loss_mask: 0.1499  loss_rpn_cls: 0.001263  loss_rpn_loc: 0.02041  time: 0.3243  data_time: 0.1156  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:18:46 d2.utils.events]: \u001b[0m eta: 1:42:25  iter: 21159  total_loss: 0.2735  loss_cls: 0.02265  loss_box_reg: 0.04949  loss_mask: 0.1529  loss_rpn_cls: 0.001995  loss_rpn_loc: 0.02894  time: 0.3243  data_time: 0.1154  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:18:53 d2.utils.events]: \u001b[0m eta: 1:42:19  iter: 21179  total_loss: 0.2248  loss_cls: 0.02104  loss_box_reg: 0.04673  loss_mask: 0.1333  loss_rpn_cls: 0.002659  loss_rpn_loc: 0.02186  time: 0.3243  data_time: 0.1152  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:19:00 d2.utils.events]: \u001b[0m eta: 1:42:18  iter: 21199  total_loss: 0.2682  loss_cls: 0.02243  loss_box_reg: 0.04733  loss_mask: 0.166  loss_rpn_cls: 0.002402  loss_rpn_loc: 0.01533  time: 0.3244  data_time: 0.1166  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:19:07 d2.utils.events]: \u001b[0m eta: 1:42:08  iter: 21219  total_loss: 0.2324  loss_cls: 0.02278  loss_box_reg: 0.05234  loss_mask: 0.1325  loss_rpn_cls: 0.0006858  loss_rpn_loc: 0.01674  time: 0.3244  data_time: 0.1148  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:19:14 d2.utils.events]: \u001b[0m eta: 1:41:59  iter: 21239  total_loss: 0.2461  loss_cls: 0.02196  loss_box_reg: 0.0513  loss_mask: 0.1433  loss_rpn_cls: 0.005837  loss_rpn_loc: 0.02621  time: 0.3244  data_time: 0.1134  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:19:20 d2.utils.events]: \u001b[0m eta: 1:41:51  iter: 21259  total_loss: 0.2982  loss_cls: 0.03073  loss_box_reg: 0.05828  loss_mask: 0.1698  loss_rpn_cls: 0.00228  loss_rpn_loc: 0.02673  time: 0.3244  data_time: 0.1141  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:19:27 d2.utils.events]: \u001b[0m eta: 1:41:54  iter: 21279  total_loss: 0.2308  loss_cls: 0.02451  loss_box_reg: 0.04839  loss_mask: 0.1376  loss_rpn_cls: 0.001588  loss_rpn_loc: 0.02027  time: 0.3244  data_time: 0.1141  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:19:34 d2.utils.events]: \u001b[0m eta: 1:41:49  iter: 21299  total_loss: 0.276  loss_cls: 0.03075  loss_box_reg: 0.05561  loss_mask: 0.1449  loss_rpn_cls: 0.003142  loss_rpn_loc: 0.03718  time: 0.3244  data_time: 0.1147  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:19:40 d2.utils.events]: \u001b[0m eta: 1:41:42  iter: 21319  total_loss: 0.253  loss_cls: 0.02325  loss_box_reg: 0.04835  loss_mask: 0.1507  loss_rpn_cls: 0.002538  loss_rpn_loc: 0.02602  time: 0.3244  data_time: 0.1163  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:19:47 d2.utils.events]: \u001b[0m eta: 1:41:39  iter: 21339  total_loss: 0.3043  loss_cls: 0.0261  loss_box_reg: 0.05809  loss_mask: 0.1683  loss_rpn_cls: 0.003812  loss_rpn_loc: 0.02423  time: 0.3244  data_time: 0.1157  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:19:54 d2.utils.events]: \u001b[0m eta: 1:41:36  iter: 21359  total_loss: 0.224  loss_cls: 0.02756  loss_box_reg: 0.05188  loss_mask: 0.13  loss_rpn_cls: 0.001801  loss_rpn_loc: 0.02069  time: 0.3245  data_time: 0.1146  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:20:00 d2.utils.events]: \u001b[0m eta: 1:41:26  iter: 21379  total_loss: 0.2319  loss_cls: 0.01734  loss_box_reg: 0.03991  loss_mask: 0.1451  loss_rpn_cls: 0.002141  loss_rpn_loc: 0.0187  time: 0.3244  data_time: 0.1154  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:20:07 d2.utils.events]: \u001b[0m eta: 1:41:19  iter: 21399  total_loss: 0.2331  loss_cls: 0.02303  loss_box_reg: 0.04083  loss_mask: 0.1354  loss_rpn_cls: 0.003662  loss_rpn_loc: 0.0142  time: 0.3244  data_time: 0.1155  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:20:13 d2.utils.events]: \u001b[0m eta: 1:41:05  iter: 21419  total_loss: 0.2486  loss_cls: 0.02207  loss_box_reg: 0.04131  loss_mask: 0.1507  loss_rpn_cls: 0.002055  loss_rpn_loc: 0.02236  time: 0.3244  data_time: 0.1150  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:20:20 d2.utils.events]: \u001b[0m eta: 1:41:04  iter: 21439  total_loss: 0.2918  loss_cls: 0.0352  loss_box_reg: 0.05816  loss_mask: 0.1638  loss_rpn_cls: 0.001718  loss_rpn_loc: 0.01995  time: 0.3245  data_time: 0.1151  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:20:27 d2.utils.events]: \u001b[0m eta: 1:40:57  iter: 21459  total_loss: 0.228  loss_cls: 0.0209  loss_box_reg: 0.04645  loss_mask: 0.136  loss_rpn_cls: 0.002488  loss_rpn_loc: 0.02617  time: 0.3245  data_time: 0.1158  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:20:34 d2.utils.events]: \u001b[0m eta: 1:40:56  iter: 21479  total_loss: 0.2589  loss_cls: 0.02723  loss_box_reg: 0.05768  loss_mask: 0.1753  loss_rpn_cls: 0.003103  loss_rpn_loc: 0.02462  time: 0.3245  data_time: 0.1157  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:20:40 d2.utils.events]: \u001b[0m eta: 1:40:49  iter: 21499  total_loss: 0.2705  loss_cls: 0.02606  loss_box_reg: 0.04678  loss_mask: 0.159  loss_rpn_cls: 0.007247  loss_rpn_loc: 0.02237  time: 0.3245  data_time: 0.1144  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:20:47 d2.utils.events]: \u001b[0m eta: 1:40:42  iter: 21519  total_loss: 0.2592  loss_cls: 0.02434  loss_box_reg: 0.04882  loss_mask: 0.1555  loss_rpn_cls: 0.003533  loss_rpn_loc: 0.02461  time: 0.3245  data_time: 0.1157  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:20:53 d2.utils.events]: \u001b[0m eta: 1:40:37  iter: 21539  total_loss: 0.2533  loss_cls: 0.0242  loss_box_reg: 0.05754  loss_mask: 0.142  loss_rpn_cls: 0.003733  loss_rpn_loc: 0.03209  time: 0.3245  data_time: 0.1160  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:21:00 d2.utils.events]: \u001b[0m eta: 1:40:25  iter: 21559  total_loss: 0.2503  loss_cls: 0.02597  loss_box_reg: 0.05222  loss_mask: 0.1456  loss_rpn_cls: 0.003761  loss_rpn_loc: 0.01772  time: 0.3245  data_time: 0.1179  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:21:06 d2.utils.events]: \u001b[0m eta: 1:40:17  iter: 21579  total_loss: 0.2694  loss_cls: 0.02807  loss_box_reg: 0.05451  loss_mask: 0.1523  loss_rpn_cls: 0.004247  loss_rpn_loc: 0.02895  time: 0.3245  data_time: 0.1148  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:21:13 d2.utils.events]: \u001b[0m eta: 1:40:08  iter: 21599  total_loss: 0.2746  loss_cls: 0.02716  loss_box_reg: 0.05114  loss_mask: 0.167  loss_rpn_cls: 0.002957  loss_rpn_loc: 0.02316  time: 0.3245  data_time: 0.1149  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:21:20 d2.utils.events]: \u001b[0m eta: 1:40:11  iter: 21619  total_loss: 0.2322  loss_cls: 0.02474  loss_box_reg: 0.04988  loss_mask: 0.1377  loss_rpn_cls: 0.004063  loss_rpn_loc: 0.0212  time: 0.3245  data_time: 0.1153  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:21:26 d2.utils.events]: \u001b[0m eta: 1:40:05  iter: 21639  total_loss: 0.217  loss_cls: 0.0209  loss_box_reg: 0.04288  loss_mask: 0.1229  loss_rpn_cls: 0.002752  loss_rpn_loc: 0.02295  time: 0.3245  data_time: 0.1149  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:21:33 d2.utils.events]: \u001b[0m eta: 1:40:02  iter: 21659  total_loss: 0.2661  loss_cls: 0.02447  loss_box_reg: 0.05263  loss_mask: 0.1508  loss_rpn_cls: 0.002264  loss_rpn_loc: 0.02936  time: 0.3245  data_time: 0.1165  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:21:39 d2.utils.events]: \u001b[0m eta: 1:40:02  iter: 21679  total_loss: 0.2552  loss_cls: 0.0257  loss_box_reg: 0.04588  loss_mask: 0.1557  loss_rpn_cls: 0.00272  loss_rpn_loc: 0.02038  time: 0.3245  data_time: 0.1157  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:21:46 d2.utils.events]: \u001b[0m eta: 1:40:00  iter: 21699  total_loss: 0.2859  loss_cls: 0.02328  loss_box_reg: 0.05672  loss_mask: 0.1777  loss_rpn_cls: 0.002339  loss_rpn_loc: 0.02724  time: 0.3245  data_time: 0.1159  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:21:52 d2.utils.events]: \u001b[0m eta: 1:39:50  iter: 21719  total_loss: 0.2399  loss_cls: 0.01971  loss_box_reg: 0.04527  loss_mask: 0.1325  loss_rpn_cls: 0.003251  loss_rpn_loc: 0.01681  time: 0.3245  data_time: 0.1145  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:21:59 d2.utils.events]: \u001b[0m eta: 1:39:55  iter: 21739  total_loss: 0.2664  loss_cls: 0.02265  loss_box_reg: 0.04659  loss_mask: 0.1579  loss_rpn_cls: 0.004228  loss_rpn_loc: 0.02346  time: 0.3245  data_time: 0.1145  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:22:06 d2.utils.events]: \u001b[0m eta: 1:39:54  iter: 21759  total_loss: 0.213  loss_cls: 0.0224  loss_box_reg: 0.04424  loss_mask: 0.1247  loss_rpn_cls: 0.001148  loss_rpn_loc: 0.01163  time: 0.3245  data_time: 0.1163  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:22:12 d2.utils.events]: \u001b[0m eta: 1:39:44  iter: 21779  total_loss: 0.264  loss_cls: 0.02112  loss_box_reg: 0.04825  loss_mask: 0.1558  loss_rpn_cls: 0.002694  loss_rpn_loc: 0.02403  time: 0.3245  data_time: 0.1167  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:22:19 d2.utils.events]: \u001b[0m eta: 1:39:42  iter: 21799  total_loss: 0.2252  loss_cls: 0.01913  loss_box_reg: 0.03901  loss_mask: 0.1324  loss_rpn_cls: 0.001667  loss_rpn_loc: 0.02577  time: 0.3245  data_time: 0.1161  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:22:26 d2.utils.events]: \u001b[0m eta: 1:39:34  iter: 21819  total_loss: 0.2732  loss_cls: 0.03172  loss_box_reg: 0.05514  loss_mask: 0.1698  loss_rpn_cls: 0.003005  loss_rpn_loc: 0.02678  time: 0.3245  data_time: 0.1160  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:22:32 d2.utils.events]: \u001b[0m eta: 1:39:33  iter: 21839  total_loss: 0.226  loss_cls: 0.02287  loss_box_reg: 0.05161  loss_mask: 0.1291  loss_rpn_cls: 0.00262  loss_rpn_loc: 0.01769  time: 0.3246  data_time: 0.1159  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:22:39 d2.utils.events]: \u001b[0m eta: 1:39:27  iter: 21859  total_loss: 0.3133  loss_cls: 0.03478  loss_box_reg: 0.07861  loss_mask: 0.1623  loss_rpn_cls: 0.004509  loss_rpn_loc: 0.02727  time: 0.3246  data_time: 0.1169  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:22:46 d2.utils.events]: \u001b[0m eta: 1:39:20  iter: 21879  total_loss: 0.2444  loss_cls: 0.02373  loss_box_reg: 0.05151  loss_mask: 0.1473  loss_rpn_cls: 0.001796  loss_rpn_loc: 0.02122  time: 0.3246  data_time: 0.1159  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:22:53 d2.utils.events]: \u001b[0m eta: 1:39:15  iter: 21899  total_loss: 0.2323  loss_cls: 0.01729  loss_box_reg: 0.03607  loss_mask: 0.132  loss_rpn_cls: 0.005261  loss_rpn_loc: 0.02285  time: 0.3246  data_time: 0.1169  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:22:59 d2.utils.events]: \u001b[0m eta: 1:39:23  iter: 21919  total_loss: 0.2324  loss_cls: 0.02294  loss_box_reg: 0.0418  loss_mask: 0.1337  loss_rpn_cls: 0.001221  loss_rpn_loc: 0.01738  time: 0.3246  data_time: 0.1159  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:23:06 d2.utils.events]: \u001b[0m eta: 1:39:22  iter: 21939  total_loss: 0.2857  loss_cls: 0.0263  loss_box_reg: 0.06029  loss_mask: 0.1472  loss_rpn_cls: 0.002244  loss_rpn_loc: 0.02162  time: 0.3246  data_time: 0.1162  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:23:13 d2.utils.events]: \u001b[0m eta: 1:39:17  iter: 21959  total_loss: 0.2282  loss_cls: 0.01879  loss_box_reg: 0.04153  loss_mask: 0.1433  loss_rpn_cls: 0.001151  loss_rpn_loc: 0.01886  time: 0.3246  data_time: 0.1157  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:23:19 d2.utils.events]: \u001b[0m eta: 1:39:19  iter: 21979  total_loss: 0.281  loss_cls: 0.0308  loss_box_reg: 0.06221  loss_mask: 0.1566  loss_rpn_cls: 0.003448  loss_rpn_loc: 0.02699  time: 0.3246  data_time: 0.1156  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:23:26 d2.utils.events]: \u001b[0m eta: 1:39:18  iter: 21999  total_loss: 0.3006  loss_cls: 0.02616  loss_box_reg: 0.04828  loss_mask: 0.154  loss_rpn_cls: 0.002354  loss_rpn_loc: 0.03051  time: 0.3246  data_time: 0.1161  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:23:32 d2.utils.events]: \u001b[0m eta: 1:39:12  iter: 22019  total_loss: 0.2743  loss_cls: 0.02706  loss_box_reg: 0.05548  loss_mask: 0.1666  loss_rpn_cls: 0.002449  loss_rpn_loc: 0.02797  time: 0.3246  data_time: 0.1145  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:23:39 d2.utils.events]: \u001b[0m eta: 1:39:16  iter: 22039  total_loss: 0.2289  loss_cls: 0.01949  loss_box_reg: 0.04545  loss_mask: 0.128  loss_rpn_cls: 0.00237  loss_rpn_loc: 0.02249  time: 0.3246  data_time: 0.1177  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:23:46 d2.utils.events]: \u001b[0m eta: 1:39:10  iter: 22059  total_loss: 0.2518  loss_cls: 0.02493  loss_box_reg: 0.05563  loss_mask: 0.1501  loss_rpn_cls: 0.001548  loss_rpn_loc: 0.01715  time: 0.3247  data_time: 0.1147  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:23:53 d2.utils.events]: \u001b[0m eta: 1:39:09  iter: 22079  total_loss: 0.2368  loss_cls: 0.02474  loss_box_reg: 0.04501  loss_mask: 0.1374  loss_rpn_cls: 0.001525  loss_rpn_loc: 0.02049  time: 0.3247  data_time: 0.1157  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:23:59 d2.utils.events]: \u001b[0m eta: 1:39:05  iter: 22099  total_loss: 0.2196  loss_cls: 0.02478  loss_box_reg: 0.04462  loss_mask: 0.1263  loss_rpn_cls: 0.002778  loss_rpn_loc: 0.01737  time: 0.3247  data_time: 0.1153  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:24:06 d2.utils.events]: \u001b[0m eta: 1:38:58  iter: 22119  total_loss: 0.2539  loss_cls: 0.02079  loss_box_reg: 0.04954  loss_mask: 0.1564  loss_rpn_cls: 0.002731  loss_rpn_loc: 0.01837  time: 0.3247  data_time: 0.1171  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:24:13 d2.utils.events]: \u001b[0m eta: 1:38:56  iter: 22139  total_loss: 0.2963  loss_cls: 0.02975  loss_box_reg: 0.05711  loss_mask: 0.1525  loss_rpn_cls: 0.006027  loss_rpn_loc: 0.03096  time: 0.3247  data_time: 0.1179  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:24:19 d2.utils.events]: \u001b[0m eta: 1:38:50  iter: 22159  total_loss: 0.2585  loss_cls: 0.0235  loss_box_reg: 0.04763  loss_mask: 0.1546  loss_rpn_cls: 0.002977  loss_rpn_loc: 0.02444  time: 0.3247  data_time: 0.1164  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:24:26 d2.utils.events]: \u001b[0m eta: 1:38:36  iter: 22179  total_loss: 0.2862  loss_cls: 0.02483  loss_box_reg: 0.05422  loss_mask: 0.1769  loss_rpn_cls: 0.003612  loss_rpn_loc: 0.02126  time: 0.3247  data_time: 0.1144  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:24:32 d2.utils.events]: \u001b[0m eta: 1:38:21  iter: 22199  total_loss: 0.2382  loss_cls: 0.02119  loss_box_reg: 0.04139  loss_mask: 0.1614  loss_rpn_cls: 0.002516  loss_rpn_loc: 0.02228  time: 0.3247  data_time: 0.1147  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:24:39 d2.utils.events]: \u001b[0m eta: 1:38:14  iter: 22219  total_loss: 0.219  loss_cls: 0.02161  loss_box_reg: 0.04506  loss_mask: 0.1358  loss_rpn_cls: 0.001267  loss_rpn_loc: 0.02034  time: 0.3247  data_time: 0.1151  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:24:46 d2.utils.events]: \u001b[0m eta: 1:38:12  iter: 22239  total_loss: 0.2984  loss_cls: 0.02496  loss_box_reg: 0.05451  loss_mask: 0.1627  loss_rpn_cls: 0.001755  loss_rpn_loc: 0.02594  time: 0.3247  data_time: 0.1162  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:24:52 d2.utils.events]: \u001b[0m eta: 1:38:05  iter: 22259  total_loss: 0.2408  loss_cls: 0.02758  loss_box_reg: 0.0528  loss_mask: 0.1612  loss_rpn_cls: 0.001753  loss_rpn_loc: 0.0204  time: 0.3247  data_time: 0.1155  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:24:59 d2.utils.events]: \u001b[0m eta: 1:37:55  iter: 22279  total_loss: 0.2285  loss_cls: 0.02569  loss_box_reg: 0.04974  loss_mask: 0.1291  loss_rpn_cls: 0.001535  loss_rpn_loc: 0.01657  time: 0.3247  data_time: 0.1151  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:25:06 d2.utils.events]: \u001b[0m eta: 1:37:50  iter: 22299  total_loss: 0.2239  loss_cls: 0.02054  loss_box_reg: 0.03899  loss_mask: 0.1421  loss_rpn_cls: 0.002239  loss_rpn_loc: 0.02171  time: 0.3247  data_time: 0.1145  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:25:12 d2.utils.events]: \u001b[0m eta: 1:37:40  iter: 22319  total_loss: 0.2701  loss_cls: 0.0249  loss_box_reg: 0.05272  loss_mask: 0.1639  loss_rpn_cls: 0.002832  loss_rpn_loc: 0.02181  time: 0.3247  data_time: 0.1149  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:25:19 d2.utils.events]: \u001b[0m eta: 1:37:33  iter: 22339  total_loss: 0.2552  loss_cls: 0.02534  loss_box_reg: 0.05737  loss_mask: 0.1403  loss_rpn_cls: 0.001469  loss_rpn_loc: 0.02476  time: 0.3248  data_time: 0.1166  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:25:26 d2.utils.events]: \u001b[0m eta: 1:37:20  iter: 22359  total_loss: 0.27  loss_cls: 0.02385  loss_box_reg: 0.04661  loss_mask: 0.1508  loss_rpn_cls: 0.004427  loss_rpn_loc: 0.03365  time: 0.3248  data_time: 0.1146  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:25:32 d2.utils.events]: \u001b[0m eta: 1:37:17  iter: 22379  total_loss: 0.2081  loss_cls: 0.02061  loss_box_reg: 0.04994  loss_mask: 0.1359  loss_rpn_cls: 0.001197  loss_rpn_loc: 0.01751  time: 0.3248  data_time: 0.1167  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:25:39 d2.utils.events]: \u001b[0m eta: 1:37:12  iter: 22399  total_loss: 0.266  loss_cls: 0.02117  loss_box_reg: 0.05966  loss_mask: 0.136  loss_rpn_cls: 0.0007075  loss_rpn_loc: 0.01485  time: 0.3248  data_time: 0.1160  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:25:46 d2.utils.events]: \u001b[0m eta: 1:37:06  iter: 22419  total_loss: 0.2939  loss_cls: 0.0262  loss_box_reg: 0.04807  loss_mask: 0.1692  loss_rpn_cls: 0.004378  loss_rpn_loc: 0.02411  time: 0.3248  data_time: 0.1156  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:25:52 d2.utils.events]: \u001b[0m eta: 1:36:58  iter: 22439  total_loss: 0.2306  loss_cls: 0.02555  loss_box_reg: 0.04179  loss_mask: 0.1296  loss_rpn_cls: 0.00114  loss_rpn_loc: 0.02093  time: 0.3248  data_time: 0.1165  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:25:59 d2.utils.events]: \u001b[0m eta: 1:36:51  iter: 22459  total_loss: 0.2764  loss_cls: 0.02628  loss_box_reg: 0.05466  loss_mask: 0.1555  loss_rpn_cls: 0.001736  loss_rpn_loc: 0.0226  time: 0.3248  data_time: 0.1166  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:26:06 d2.utils.events]: \u001b[0m eta: 1:36:45  iter: 22479  total_loss: 0.2392  loss_cls: 0.02463  loss_box_reg: 0.04506  loss_mask: 0.1481  loss_rpn_cls: 0.001504  loss_rpn_loc: 0.01947  time: 0.3248  data_time: 0.1153  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:26:12 d2.utils.events]: \u001b[0m eta: 1:36:33  iter: 22499  total_loss: 0.2207  loss_cls: 0.01795  loss_box_reg: 0.04087  loss_mask: 0.1336  loss_rpn_cls: 0.002007  loss_rpn_loc: 0.01968  time: 0.3248  data_time: 0.1154  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:26:19 d2.utils.events]: \u001b[0m eta: 1:36:31  iter: 22519  total_loss: 0.2465  loss_cls: 0.02471  loss_box_reg: 0.05133  loss_mask: 0.143  loss_rpn_cls: 0.0008725  loss_rpn_loc: 0.02073  time: 0.3248  data_time: 0.1174  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:26:26 d2.utils.events]: \u001b[0m eta: 1:36:25  iter: 22539  total_loss: 0.2683  loss_cls: 0.0273  loss_box_reg: 0.05613  loss_mask: 0.1603  loss_rpn_cls: 0.00355  loss_rpn_loc: 0.02146  time: 0.3248  data_time: 0.1146  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:26:33 d2.utils.events]: \u001b[0m eta: 1:36:20  iter: 22559  total_loss: 0.2606  loss_cls: 0.02283  loss_box_reg: 0.04768  loss_mask: 0.1655  loss_rpn_cls: 0.001366  loss_rpn_loc: 0.0266  time: 0.3248  data_time: 0.1156  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:26:39 d2.utils.events]: \u001b[0m eta: 1:36:15  iter: 22579  total_loss: 0.241  loss_cls: 0.02013  loss_box_reg: 0.04077  loss_mask: 0.1409  loss_rpn_cls: 0.002929  loss_rpn_loc: 0.02459  time: 0.3248  data_time: 0.1160  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:26:46 d2.utils.events]: \u001b[0m eta: 1:36:10  iter: 22599  total_loss: 0.237  loss_cls: 0.02019  loss_box_reg: 0.04632  loss_mask: 0.1432  loss_rpn_cls: 0.002456  loss_rpn_loc: 0.01733  time: 0.3248  data_time: 0.1161  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:26:53 d2.utils.events]: \u001b[0m eta: 1:36:09  iter: 22619  total_loss: 0.2498  loss_cls: 0.02081  loss_box_reg: 0.04503  loss_mask: 0.1562  loss_rpn_cls: 0.002199  loss_rpn_loc: 0.02216  time: 0.3249  data_time: 0.1181  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:27:00 d2.utils.events]: \u001b[0m eta: 1:36:10  iter: 22639  total_loss: 0.2606  loss_cls: 0.02746  loss_box_reg: 0.06271  loss_mask: 0.1475  loss_rpn_cls: 0.001954  loss_rpn_loc: 0.02051  time: 0.3249  data_time: 0.1170  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:27:07 d2.utils.events]: \u001b[0m eta: 1:36:03  iter: 22659  total_loss: 0.2257  loss_cls: 0.02364  loss_box_reg: 0.03543  loss_mask: 0.1533  loss_rpn_cls: 0.001193  loss_rpn_loc: 0.02249  time: 0.3249  data_time: 0.1159  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:27:14 d2.utils.events]: \u001b[0m eta: 1:35:59  iter: 22679  total_loss: 0.246  loss_cls: 0.02798  loss_box_reg: 0.05526  loss_mask: 0.1535  loss_rpn_cls: 0.004892  loss_rpn_loc: 0.02586  time: 0.3249  data_time: 0.1150  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:27:20 d2.utils.events]: \u001b[0m eta: 1:35:54  iter: 22699  total_loss: 0.2655  loss_cls: 0.02597  loss_box_reg: 0.05846  loss_mask: 0.149  loss_rpn_cls: 0.001435  loss_rpn_loc: 0.02077  time: 0.3249  data_time: 0.1138  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:27:27 d2.utils.events]: \u001b[0m eta: 1:35:54  iter: 22719  total_loss: 0.2372  loss_cls: 0.01965  loss_box_reg: 0.04254  loss_mask: 0.1395  loss_rpn_cls: 0.001026  loss_rpn_loc: 0.0172  time: 0.3249  data_time: 0.1149  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:27:34 d2.utils.events]: \u001b[0m eta: 1:35:50  iter: 22739  total_loss: 0.2565  loss_cls: 0.02871  loss_box_reg: 0.05549  loss_mask: 0.139  loss_rpn_cls: 0.002051  loss_rpn_loc: 0.02706  time: 0.3250  data_time: 0.1145  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:27:41 d2.utils.events]: \u001b[0m eta: 1:35:42  iter: 22759  total_loss: 0.255  loss_cls: 0.01819  loss_box_reg: 0.04099  loss_mask: 0.1331  loss_rpn_cls: 0.004954  loss_rpn_loc: 0.0159  time: 0.3250  data_time: 0.1142  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:27:47 d2.utils.events]: \u001b[0m eta: 1:35:36  iter: 22779  total_loss: 0.2565  loss_cls: 0.02928  loss_box_reg: 0.05079  loss_mask: 0.1521  loss_rpn_cls: 0.002031  loss_rpn_loc: 0.02279  time: 0.3250  data_time: 0.1145  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:27:54 d2.utils.events]: \u001b[0m eta: 1:35:27  iter: 22799  total_loss: 0.2328  loss_cls: 0.02505  loss_box_reg: 0.05008  loss_mask: 0.143  loss_rpn_cls: 0.002198  loss_rpn_loc: 0.01823  time: 0.3250  data_time: 0.1159  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:28:01 d2.utils.events]: \u001b[0m eta: 1:35:21  iter: 22819  total_loss: 0.2209  loss_cls: 0.01985  loss_box_reg: 0.04082  loss_mask: 0.1377  loss_rpn_cls: 0.0007128  loss_rpn_loc: 0.01564  time: 0.3250  data_time: 0.1189  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:28:08 d2.utils.events]: \u001b[0m eta: 1:35:10  iter: 22839  total_loss: 0.2627  loss_cls: 0.02487  loss_box_reg: 0.05275  loss_mask: 0.1534  loss_rpn_cls: 0.003051  loss_rpn_loc: 0.02206  time: 0.3250  data_time: 0.1159  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:28:14 d2.utils.events]: \u001b[0m eta: 1:34:58  iter: 22859  total_loss: 0.2388  loss_cls: 0.02681  loss_box_reg: 0.05087  loss_mask: 0.1396  loss_rpn_cls: 0.001194  loss_rpn_loc: 0.02489  time: 0.3250  data_time: 0.1151  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:28:21 d2.utils.events]: \u001b[0m eta: 1:34:51  iter: 22879  total_loss: 0.2605  loss_cls: 0.02111  loss_box_reg: 0.0481  loss_mask: 0.1521  loss_rpn_cls: 0.001779  loss_rpn_loc: 0.02381  time: 0.3250  data_time: 0.1138  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:28:27 d2.utils.events]: \u001b[0m eta: 1:34:44  iter: 22899  total_loss: 0.3075  loss_cls: 0.02503  loss_box_reg: 0.0517  loss_mask: 0.1693  loss_rpn_cls: 0.004506  loss_rpn_loc: 0.02114  time: 0.3250  data_time: 0.1159  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:28:34 d2.utils.events]: \u001b[0m eta: 1:34:31  iter: 22919  total_loss: 0.2683  loss_cls: 0.02488  loss_box_reg: 0.05221  loss_mask: 0.1384  loss_rpn_cls: 0.001922  loss_rpn_loc: 0.0192  time: 0.3250  data_time: 0.1188  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:28:41 d2.utils.events]: \u001b[0m eta: 1:34:19  iter: 22939  total_loss: 0.2777  loss_cls: 0.02452  loss_box_reg: 0.05194  loss_mask: 0.1568  loss_rpn_cls: 0.002382  loss_rpn_loc: 0.02867  time: 0.3250  data_time: 0.1140  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:28:47 d2.utils.events]: \u001b[0m eta: 1:34:17  iter: 22959  total_loss: 0.2797  loss_cls: 0.02218  loss_box_reg: 0.05476  loss_mask: 0.1719  loss_rpn_cls: 0.004284  loss_rpn_loc: 0.03282  time: 0.3250  data_time: 0.1162  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:28:54 d2.utils.events]: \u001b[0m eta: 1:34:11  iter: 22979  total_loss: 0.2806  loss_cls: 0.0255  loss_box_reg: 0.0538  loss_mask: 0.1605  loss_rpn_cls: 0.002155  loss_rpn_loc: 0.02576  time: 0.3250  data_time: 0.1155  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:29:01 d2.utils.events]: \u001b[0m eta: 1:34:03  iter: 22999  total_loss: 0.2335  loss_cls: 0.02242  loss_box_reg: 0.04093  loss_mask: 0.1427  loss_rpn_cls: 0.001614  loss_rpn_loc: 0.02258  time: 0.3250  data_time: 0.1154  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:29:07 d2.utils.events]: \u001b[0m eta: 1:33:57  iter: 23019  total_loss: 0.253  loss_cls: 0.02334  loss_box_reg: 0.05107  loss_mask: 0.145  loss_rpn_cls: 0.003508  loss_rpn_loc: 0.02915  time: 0.3250  data_time: 0.1136  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:29:14 d2.utils.events]: \u001b[0m eta: 1:33:50  iter: 23039  total_loss: 0.2531  loss_cls: 0.02117  loss_box_reg: 0.05145  loss_mask: 0.1522  loss_rpn_cls: 0.002957  loss_rpn_loc: 0.02262  time: 0.3250  data_time: 0.1142  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:29:21 d2.utils.events]: \u001b[0m eta: 1:33:44  iter: 23059  total_loss: 0.2323  loss_cls: 0.02195  loss_box_reg: 0.04516  loss_mask: 0.1358  loss_rpn_cls: 0.002285  loss_rpn_loc: 0.02454  time: 0.3251  data_time: 0.1143  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:29:27 d2.utils.events]: \u001b[0m eta: 1:33:37  iter: 23079  total_loss: 0.2187  loss_cls: 0.01842  loss_box_reg: 0.03457  loss_mask: 0.1414  loss_rpn_cls: 0.001334  loss_rpn_loc: 0.01514  time: 0.3251  data_time: 0.1145  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:29:34 d2.utils.events]: \u001b[0m eta: 1:33:30  iter: 23099  total_loss: 0.2739  loss_cls: 0.02995  loss_box_reg: 0.05164  loss_mask: 0.1685  loss_rpn_cls: 0.003441  loss_rpn_loc: 0.02481  time: 0.3251  data_time: 0.1147  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:29:41 d2.utils.events]: \u001b[0m eta: 1:33:23  iter: 23119  total_loss: 0.2396  loss_cls: 0.02095  loss_box_reg: 0.04129  loss_mask: 0.1456  loss_rpn_cls: 0.0007196  loss_rpn_loc: 0.0198  time: 0.3251  data_time: 0.1154  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:29:47 d2.utils.events]: \u001b[0m eta: 1:33:15  iter: 23139  total_loss: 0.2752  loss_cls: 0.02572  loss_box_reg: 0.06105  loss_mask: 0.1417  loss_rpn_cls: 0.004895  loss_rpn_loc: 0.02663  time: 0.3251  data_time: 0.1147  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:29:54 d2.utils.events]: \u001b[0m eta: 1:33:04  iter: 23159  total_loss: 0.2638  loss_cls: 0.01961  loss_box_reg: 0.04917  loss_mask: 0.1443  loss_rpn_cls: 0.002126  loss_rpn_loc: 0.02905  time: 0.3251  data_time: 0.1144  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:30:01 d2.utils.events]: \u001b[0m eta: 1:33:04  iter: 23179  total_loss: 0.2505  loss_cls: 0.02492  loss_box_reg: 0.05303  loss_mask: 0.1446  loss_rpn_cls: 0.003221  loss_rpn_loc: 0.02461  time: 0.3251  data_time: 0.1149  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:30:07 d2.utils.events]: \u001b[0m eta: 1:33:04  iter: 23199  total_loss: 0.2521  loss_cls: 0.02257  loss_box_reg: 0.04846  loss_mask: 0.1452  loss_rpn_cls: 0.00108  loss_rpn_loc: 0.01809  time: 0.3251  data_time: 0.1166  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:30:14 d2.utils.events]: \u001b[0m eta: 1:32:52  iter: 23219  total_loss: 0.2471  loss_cls: 0.02413  loss_box_reg: 0.05473  loss_mask: 0.1454  loss_rpn_cls: 0.003259  loss_rpn_loc: 0.02437  time: 0.3251  data_time: 0.1142  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:30:21 d2.utils.events]: \u001b[0m eta: 1:32:44  iter: 23239  total_loss: 0.2108  loss_cls: 0.01774  loss_box_reg: 0.03881  loss_mask: 0.1327  loss_rpn_cls: 0.002894  loss_rpn_loc: 0.01547  time: 0.3251  data_time: 0.1157  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:30:28 d2.utils.events]: \u001b[0m eta: 1:32:43  iter: 23259  total_loss: 0.309  loss_cls: 0.03351  loss_box_reg: 0.0656  loss_mask: 0.1638  loss_rpn_cls: 0.001891  loss_rpn_loc: 0.0249  time: 0.3251  data_time: 0.1153  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:30:34 d2.utils.events]: \u001b[0m eta: 1:32:42  iter: 23279  total_loss: 0.2711  loss_cls: 0.02956  loss_box_reg: 0.06278  loss_mask: 0.1575  loss_rpn_cls: 0.002646  loss_rpn_loc: 0.01974  time: 0.3252  data_time: 0.1181  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:30:41 d2.utils.events]: \u001b[0m eta: 1:32:34  iter: 23299  total_loss: 0.2902  loss_cls: 0.02589  loss_box_reg: 0.05388  loss_mask: 0.1715  loss_rpn_cls: 0.002269  loss_rpn_loc: 0.02806  time: 0.3252  data_time: 0.1160  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:30:48 d2.utils.events]: \u001b[0m eta: 1:32:32  iter: 23319  total_loss: 0.2338  loss_cls: 0.01872  loss_box_reg: 0.03983  loss_mask: 0.1304  loss_rpn_cls: 0.00292  loss_rpn_loc: 0.01722  time: 0.3252  data_time: 0.1166  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:30:54 d2.utils.events]: \u001b[0m eta: 1:32:20  iter: 23339  total_loss: 0.2128  loss_cls: 0.02433  loss_box_reg: 0.04132  loss_mask: 0.1329  loss_rpn_cls: 0.00239  loss_rpn_loc: 0.02224  time: 0.3252  data_time: 0.1161  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:31:01 d2.utils.events]: \u001b[0m eta: 1:32:16  iter: 23359  total_loss: 0.2652  loss_cls: 0.02914  loss_box_reg: 0.06393  loss_mask: 0.1497  loss_rpn_cls: 0.004069  loss_rpn_loc: 0.03196  time: 0.3252  data_time: 0.1136  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:31:08 d2.utils.events]: \u001b[0m eta: 1:32:08  iter: 23379  total_loss: 0.2229  loss_cls: 0.023  loss_box_reg: 0.04574  loss_mask: 0.1379  loss_rpn_cls: 0.001855  loss_rpn_loc: 0.01548  time: 0.3252  data_time: 0.1131  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:31:14 d2.utils.events]: \u001b[0m eta: 1:32:01  iter: 23399  total_loss: 0.2635  loss_cls: 0.02343  loss_box_reg: 0.04501  loss_mask: 0.1399  loss_rpn_cls: 0.00144  loss_rpn_loc: 0.01642  time: 0.3252  data_time: 0.1141  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:31:21 d2.utils.events]: \u001b[0m eta: 1:31:50  iter: 23419  total_loss: 0.219  loss_cls: 0.02086  loss_box_reg: 0.04607  loss_mask: 0.1389  loss_rpn_cls: 0.001785  loss_rpn_loc: 0.01241  time: 0.3252  data_time: 0.1144  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:31:27 d2.utils.events]: \u001b[0m eta: 1:31:36  iter: 23439  total_loss: 0.2656  loss_cls: 0.02456  loss_box_reg: 0.05205  loss_mask: 0.161  loss_rpn_cls: 0.002944  loss_rpn_loc: 0.02182  time: 0.3252  data_time: 0.1135  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:31:35 d2.utils.events]: \u001b[0m eta: 1:31:41  iter: 23459  total_loss: 0.2611  loss_cls: 0.02835  loss_box_reg: 0.05735  loss_mask: 0.1528  loss_rpn_cls: 0.0009779  loss_rpn_loc: 0.02451  time: 0.3252  data_time: 0.1168  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:31:41 d2.utils.events]: \u001b[0m eta: 1:31:36  iter: 23479  total_loss: 0.2448  loss_cls: 0.01924  loss_box_reg: 0.0415  loss_mask: 0.1601  loss_rpn_cls: 0.001211  loss_rpn_loc: 0.01578  time: 0.3252  data_time: 0.1149  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:31:48 d2.utils.events]: \u001b[0m eta: 1:31:29  iter: 23499  total_loss: 0.2411  loss_cls: 0.02119  loss_box_reg: 0.05481  loss_mask: 0.1348  loss_rpn_cls: 0.001587  loss_rpn_loc: 0.01855  time: 0.3252  data_time: 0.1141  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:31:54 d2.utils.events]: \u001b[0m eta: 1:31:16  iter: 23519  total_loss: 0.2193  loss_cls: 0.02354  loss_box_reg: 0.04634  loss_mask: 0.1337  loss_rpn_cls: 0.002662  loss_rpn_loc: 0.01975  time: 0.3252  data_time: 0.1141  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:32:01 d2.utils.events]: \u001b[0m eta: 1:31:09  iter: 23539  total_loss: 0.2674  loss_cls: 0.02383  loss_box_reg: 0.04624  loss_mask: 0.145  loss_rpn_cls: 0.002845  loss_rpn_loc: 0.02605  time: 0.3252  data_time: 0.1130  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:32:07 d2.utils.events]: \u001b[0m eta: 1:30:52  iter: 23559  total_loss: 0.2369  loss_cls: 0.02473  loss_box_reg: 0.05095  loss_mask: 0.1412  loss_rpn_cls: 0.001204  loss_rpn_loc: 0.02192  time: 0.3252  data_time: 0.1134  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:32:14 d2.utils.events]: \u001b[0m eta: 1:30:45  iter: 23579  total_loss: 0.2537  loss_cls: 0.02767  loss_box_reg: 0.05384  loss_mask: 0.1466  loss_rpn_cls: 0.003438  loss_rpn_loc: 0.01612  time: 0.3252  data_time: 0.1138  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:32:20 d2.utils.events]: \u001b[0m eta: 1:30:37  iter: 23599  total_loss: 0.2549  loss_cls: 0.02553  loss_box_reg: 0.05881  loss_mask: 0.1444  loss_rpn_cls: 0.001526  loss_rpn_loc: 0.01953  time: 0.3252  data_time: 0.1136  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:32:27 d2.utils.events]: \u001b[0m eta: 1:30:23  iter: 23619  total_loss: 0.2355  loss_cls: 0.02489  loss_box_reg: 0.04636  loss_mask: 0.1444  loss_rpn_cls: 0.0009341  loss_rpn_loc: 0.01584  time: 0.3252  data_time: 0.1144  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:32:34 d2.utils.events]: \u001b[0m eta: 1:30:12  iter: 23639  total_loss: 0.2654  loss_cls: 0.03272  loss_box_reg: 0.06328  loss_mask: 0.142  loss_rpn_cls: 0.003001  loss_rpn_loc: 0.02604  time: 0.3252  data_time: 0.1148  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:32:40 d2.utils.events]: \u001b[0m eta: 1:30:00  iter: 23659  total_loss: 0.273  loss_cls: 0.02018  loss_box_reg: 0.04953  loss_mask: 0.1512  loss_rpn_cls: 0.001165  loss_rpn_loc: 0.02264  time: 0.3252  data_time: 0.1134  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:32:47 d2.utils.events]: \u001b[0m eta: 1:29:53  iter: 23679  total_loss: 0.2301  loss_cls: 0.02022  loss_box_reg: 0.04053  loss_mask: 0.131  loss_rpn_cls: 0.002739  loss_rpn_loc: 0.01737  time: 0.3253  data_time: 0.1155  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:32:54 d2.utils.events]: \u001b[0m eta: 1:29:46  iter: 23699  total_loss: 0.2418  loss_cls: 0.0292  loss_box_reg: 0.05188  loss_mask: 0.1306  loss_rpn_cls: 0.003888  loss_rpn_loc: 0.02307  time: 0.3253  data_time: 0.1149  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:33:01 d2.utils.events]: \u001b[0m eta: 1:29:37  iter: 23719  total_loss: 0.2535  loss_cls: 0.02303  loss_box_reg: 0.04973  loss_mask: 0.1658  loss_rpn_cls: 0.003767  loss_rpn_loc: 0.02193  time: 0.3253  data_time: 0.1138  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:33:07 d2.utils.events]: \u001b[0m eta: 1:29:28  iter: 23739  total_loss: 0.2446  loss_cls: 0.02458  loss_box_reg: 0.0451  loss_mask: 0.1272  loss_rpn_cls: 0.001736  loss_rpn_loc: 0.02343  time: 0.3253  data_time: 0.1158  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:33:14 d2.utils.events]: \u001b[0m eta: 1:29:22  iter: 23759  total_loss: 0.2486  loss_cls: 0.01955  loss_box_reg: 0.04589  loss_mask: 0.1387  loss_rpn_cls: 0.002167  loss_rpn_loc: 0.02366  time: 0.3253  data_time: 0.1174  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:33:21 d2.utils.events]: \u001b[0m eta: 1:29:21  iter: 23779  total_loss: 0.2314  loss_cls: 0.02032  loss_box_reg: 0.04546  loss_mask: 0.147  loss_rpn_cls: 0.003043  loss_rpn_loc: 0.02978  time: 0.3253  data_time: 0.1162  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:33:28 d2.utils.events]: \u001b[0m eta: 1:29:18  iter: 23799  total_loss: 0.2134  loss_cls: 0.0195  loss_box_reg: 0.03277  loss_mask: 0.1391  loss_rpn_cls: 0.0009688  loss_rpn_loc: 0.01645  time: 0.3253  data_time: 0.1150  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:33:34 d2.utils.events]: \u001b[0m eta: 1:29:07  iter: 23819  total_loss: 0.2459  loss_cls: 0.02325  loss_box_reg: 0.04686  loss_mask: 0.145  loss_rpn_cls: 0.002785  loss_rpn_loc: 0.02531  time: 0.3253  data_time: 0.1143  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:33:41 d2.utils.events]: \u001b[0m eta: 1:28:53  iter: 23839  total_loss: 0.2437  loss_cls: 0.01676  loss_box_reg: 0.03788  loss_mask: 0.1618  loss_rpn_cls: 0.002003  loss_rpn_loc: 0.02215  time: 0.3253  data_time: 0.1134  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:33:48 d2.utils.events]: \u001b[0m eta: 1:28:54  iter: 23859  total_loss: 0.2489  loss_cls: 0.02741  loss_box_reg: 0.05142  loss_mask: 0.146  loss_rpn_cls: 0.002385  loss_rpn_loc: 0.02466  time: 0.3253  data_time: 0.1140  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:33:54 d2.utils.events]: \u001b[0m eta: 1:28:53  iter: 23879  total_loss: 0.2227  loss_cls: 0.02127  loss_box_reg: 0.03877  loss_mask: 0.1333  loss_rpn_cls: 0.001582  loss_rpn_loc: 0.01243  time: 0.3253  data_time: 0.1155  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:34:01 d2.utils.events]: \u001b[0m eta: 1:28:46  iter: 23899  total_loss: 0.2412  loss_cls: 0.02258  loss_box_reg: 0.04894  loss_mask: 0.1332  loss_rpn_cls: 0.004216  loss_rpn_loc: 0.01751  time: 0.3254  data_time: 0.1157  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:34:08 d2.utils.events]: \u001b[0m eta: 1:28:41  iter: 23919  total_loss: 0.2348  loss_cls: 0.02472  loss_box_reg: 0.0493  loss_mask: 0.1524  loss_rpn_cls: 0.0029  loss_rpn_loc: 0.02138  time: 0.3254  data_time: 0.1148  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:34:15 d2.utils.events]: \u001b[0m eta: 1:28:34  iter: 23939  total_loss: 0.2832  loss_cls: 0.02343  loss_box_reg: 0.04733  loss_mask: 0.1673  loss_rpn_cls: 0.004218  loss_rpn_loc: 0.02714  time: 0.3254  data_time: 0.1152  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:34:21 d2.utils.events]: \u001b[0m eta: 1:28:25  iter: 23959  total_loss: 0.2494  loss_cls: 0.02448  loss_box_reg: 0.04183  loss_mask: 0.1353  loss_rpn_cls: 0.001448  loss_rpn_loc: 0.01805  time: 0.3254  data_time: 0.1143  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:34:28 d2.utils.events]: \u001b[0m eta: 1:28:14  iter: 23979  total_loss: 0.2631  loss_cls: 0.0193  loss_box_reg: 0.04946  loss_mask: 0.1501  loss_rpn_cls: 0.002943  loss_rpn_loc: 0.0249  time: 0.3254  data_time: 0.1150  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:34:34 d2.utils.events]: \u001b[0m eta: 1:28:11  iter: 23999  total_loss: 0.2246  loss_cls: 0.02205  loss_box_reg: 0.04206  loss_mask: 0.1472  loss_rpn_cls: 0.001094  loss_rpn_loc: 0.01632  time: 0.3254  data_time: 0.1152  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:34:41 d2.utils.events]: \u001b[0m eta: 1:28:01  iter: 24019  total_loss: 0.2237  loss_cls: 0.0235  loss_box_reg: 0.03789  loss_mask: 0.1466  loss_rpn_cls: 0.001557  loss_rpn_loc: 0.01862  time: 0.3254  data_time: 0.1152  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:34:47 d2.utils.events]: \u001b[0m eta: 1:27:45  iter: 24039  total_loss: 0.258  loss_cls: 0.02703  loss_box_reg: 0.0555  loss_mask: 0.1458  loss_rpn_cls: 0.004727  loss_rpn_loc: 0.02204  time: 0.3254  data_time: 0.1143  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:34:54 d2.utils.events]: \u001b[0m eta: 1:27:34  iter: 24059  total_loss: 0.2192  loss_cls: 0.02299  loss_box_reg: 0.04356  loss_mask: 0.1317  loss_rpn_cls: 0.0006639  loss_rpn_loc: 0.02653  time: 0.3254  data_time: 0.1139  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:35:01 d2.utils.events]: \u001b[0m eta: 1:27:30  iter: 24079  total_loss: 0.2026  loss_cls: 0.01829  loss_box_reg: 0.03929  loss_mask: 0.1328  loss_rpn_cls: 0.001797  loss_rpn_loc: 0.01438  time: 0.3254  data_time: 0.1155  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:35:07 d2.utils.events]: \u001b[0m eta: 1:27:25  iter: 24099  total_loss: 0.2066  loss_cls: 0.01821  loss_box_reg: 0.0403  loss_mask: 0.1347  loss_rpn_cls: 0.0008427  loss_rpn_loc: 0.01706  time: 0.3254  data_time: 0.1146  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:35:14 d2.utils.events]: \u001b[0m eta: 1:27:13  iter: 24119  total_loss: 0.2302  loss_cls: 0.02093  loss_box_reg: 0.04591  loss_mask: 0.1373  loss_rpn_cls: 0.001497  loss_rpn_loc: 0.02015  time: 0.3254  data_time: 0.1151  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:35:20 d2.utils.events]: \u001b[0m eta: 1:27:05  iter: 24139  total_loss: 0.2185  loss_cls: 0.0209  loss_box_reg: 0.04241  loss_mask: 0.1216  loss_rpn_cls: 0.001854  loss_rpn_loc: 0.02198  time: 0.3254  data_time: 0.1160  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:35:27 d2.utils.events]: \u001b[0m eta: 1:27:04  iter: 24159  total_loss: 0.2442  loss_cls: 0.02908  loss_box_reg: 0.05078  loss_mask: 0.1408  loss_rpn_cls: 0.002917  loss_rpn_loc: 0.01967  time: 0.3254  data_time: 0.1154  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:35:34 d2.utils.events]: \u001b[0m eta: 1:26:57  iter: 24179  total_loss: 0.2366  loss_cls: 0.02475  loss_box_reg: 0.05319  loss_mask: 0.1364  loss_rpn_cls: 0.0009604  loss_rpn_loc: 0.01631  time: 0.3254  data_time: 0.1149  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:35:41 d2.utils.events]: \u001b[0m eta: 1:26:50  iter: 24199  total_loss: 0.2474  loss_cls: 0.01821  loss_box_reg: 0.04207  loss_mask: 0.1547  loss_rpn_cls: 0.005405  loss_rpn_loc: 0.01876  time: 0.3254  data_time: 0.1159  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:35:47 d2.utils.events]: \u001b[0m eta: 1:26:53  iter: 24219  total_loss: 0.23  loss_cls: 0.02174  loss_box_reg: 0.04665  loss_mask: 0.149  loss_rpn_cls: 0.0008612  loss_rpn_loc: 0.02142  time: 0.3254  data_time: 0.1159  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:35:54 d2.utils.events]: \u001b[0m eta: 1:26:45  iter: 24239  total_loss: 0.2923  loss_cls: 0.02706  loss_box_reg: 0.05851  loss_mask: 0.1442  loss_rpn_cls: 0.00652  loss_rpn_loc: 0.03078  time: 0.3254  data_time: 0.1156  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:36:00 d2.utils.events]: \u001b[0m eta: 1:26:32  iter: 24259  total_loss: 0.2934  loss_cls: 0.02655  loss_box_reg: 0.05853  loss_mask: 0.166  loss_rpn_cls: 0.001568  loss_rpn_loc: 0.02853  time: 0.3254  data_time: 0.1142  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:36:07 d2.utils.events]: \u001b[0m eta: 1:26:24  iter: 24279  total_loss: 0.2268  loss_cls: 0.02444  loss_box_reg: 0.05014  loss_mask: 0.1329  loss_rpn_cls: 0.002706  loss_rpn_loc: 0.01516  time: 0.3254  data_time: 0.1152  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:36:14 d2.utils.events]: \u001b[0m eta: 1:26:16  iter: 24299  total_loss: 0.2673  loss_cls: 0.02637  loss_box_reg: 0.05317  loss_mask: 0.1473  loss_rpn_cls: 0.00269  loss_rpn_loc: 0.02605  time: 0.3254  data_time: 0.1143  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:36:20 d2.utils.events]: \u001b[0m eta: 1:26:12  iter: 24319  total_loss: 0.233  loss_cls: 0.02623  loss_box_reg: 0.04457  loss_mask: 0.1301  loss_rpn_cls: 0.001162  loss_rpn_loc: 0.01945  time: 0.3254  data_time: 0.1145  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:36:27 d2.utils.events]: \u001b[0m eta: 1:26:16  iter: 24339  total_loss: 0.1813  loss_cls: 0.01814  loss_box_reg: 0.03467  loss_mask: 0.1064  loss_rpn_cls: 0.002164  loss_rpn_loc: 0.01794  time: 0.3255  data_time: 0.1156  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:36:34 d2.utils.events]: \u001b[0m eta: 1:26:14  iter: 24359  total_loss: 0.2221  loss_cls: 0.02025  loss_box_reg: 0.04528  loss_mask: 0.1379  loss_rpn_cls: 0.0008712  loss_rpn_loc: 0.02016  time: 0.3255  data_time: 0.1152  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:36:41 d2.utils.events]: \u001b[0m eta: 1:26:12  iter: 24379  total_loss: 0.2072  loss_cls: 0.01739  loss_box_reg: 0.03975  loss_mask: 0.1307  loss_rpn_cls: 0.001205  loss_rpn_loc: 0.01533  time: 0.3255  data_time: 0.1147  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:36:48 d2.utils.events]: \u001b[0m eta: 1:26:12  iter: 24399  total_loss: 0.1998  loss_cls: 0.01865  loss_box_reg: 0.0372  loss_mask: 0.1295  loss_rpn_cls: 0.001617  loss_rpn_loc: 0.01395  time: 0.3255  data_time: 0.1165  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:36:55 d2.utils.events]: \u001b[0m eta: 1:26:12  iter: 24419  total_loss: 0.2286  loss_cls: 0.01885  loss_box_reg: 0.04544  loss_mask: 0.1301  loss_rpn_cls: 0.002889  loss_rpn_loc: 0.01798  time: 0.3255  data_time: 0.1149  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:37:02 d2.utils.events]: \u001b[0m eta: 1:26:09  iter: 24439  total_loss: 0.2392  loss_cls: 0.0237  loss_box_reg: 0.04272  loss_mask: 0.1343  loss_rpn_cls: 0.002962  loss_rpn_loc: 0.02374  time: 0.3255  data_time: 0.1157  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:37:09 d2.utils.events]: \u001b[0m eta: 1:26:01  iter: 24459  total_loss: 0.2449  loss_cls: 0.02365  loss_box_reg: 0.04901  loss_mask: 0.1411  loss_rpn_cls: 0.003086  loss_rpn_loc: 0.01939  time: 0.3256  data_time: 0.1158  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:37:16 d2.utils.events]: \u001b[0m eta: 1:25:55  iter: 24479  total_loss: 0.2544  loss_cls: 0.02373  loss_box_reg: 0.05253  loss_mask: 0.1601  loss_rpn_cls: 0.001768  loss_rpn_loc: 0.021  time: 0.3256  data_time: 0.1150  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:37:22 d2.utils.events]: \u001b[0m eta: 1:25:49  iter: 24499  total_loss: 0.2581  loss_cls: 0.02023  loss_box_reg: 0.04448  loss_mask: 0.1529  loss_rpn_cls: 0.004047  loss_rpn_loc: 0.02496  time: 0.3256  data_time: 0.1142  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:37:29 d2.utils.events]: \u001b[0m eta: 1:25:45  iter: 24519  total_loss: 0.2674  loss_cls: 0.02197  loss_box_reg: 0.05346  loss_mask: 0.1371  loss_rpn_cls: 0.001642  loss_rpn_loc: 0.02119  time: 0.3256  data_time: 0.1152  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:37:36 d2.utils.events]: \u001b[0m eta: 1:25:38  iter: 24539  total_loss: 0.2381  loss_cls: 0.02142  loss_box_reg: 0.04648  loss_mask: 0.1379  loss_rpn_cls: 0.002905  loss_rpn_loc: 0.0202  time: 0.3256  data_time: 0.1149  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:37:42 d2.utils.events]: \u001b[0m eta: 1:25:33  iter: 24559  total_loss: 0.2776  loss_cls: 0.02646  loss_box_reg: 0.05335  loss_mask: 0.1566  loss_rpn_cls: 0.002325  loss_rpn_loc: 0.02525  time: 0.3256  data_time: 0.1137  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:37:49 d2.utils.events]: \u001b[0m eta: 1:25:32  iter: 24579  total_loss: 0.186  loss_cls: 0.0158  loss_box_reg: 0.03681  loss_mask: 0.1064  loss_rpn_cls: 0.001448  loss_rpn_loc: 0.01215  time: 0.3256  data_time: 0.1141  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:37:55 d2.utils.events]: \u001b[0m eta: 1:25:27  iter: 24599  total_loss: 0.2539  loss_cls: 0.02332  loss_box_reg: 0.03918  loss_mask: 0.1538  loss_rpn_cls: 0.001483  loss_rpn_loc: 0.02033  time: 0.3256  data_time: 0.1141  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:38:02 d2.utils.events]: \u001b[0m eta: 1:25:25  iter: 24619  total_loss: 0.2492  loss_cls: 0.02203  loss_box_reg: 0.05291  loss_mask: 0.1408  loss_rpn_cls: 0.002613  loss_rpn_loc: 0.03079  time: 0.3256  data_time: 0.1150  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:38:09 d2.utils.events]: \u001b[0m eta: 1:25:16  iter: 24639  total_loss: 0.2695  loss_cls: 0.02437  loss_box_reg: 0.05167  loss_mask: 0.1431  loss_rpn_cls: 0.001909  loss_rpn_loc: 0.0217  time: 0.3256  data_time: 0.1154  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:38:15 d2.utils.events]: \u001b[0m eta: 1:25:17  iter: 24659  total_loss: 0.2024  loss_cls: 0.01972  loss_box_reg: 0.04138  loss_mask: 0.119  loss_rpn_cls: 0.002281  loss_rpn_loc: 0.01541  time: 0.3256  data_time: 0.1146  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:38:22 d2.utils.events]: \u001b[0m eta: 1:25:08  iter: 24679  total_loss: 0.2523  loss_cls: 0.02153  loss_box_reg: 0.04388  loss_mask: 0.1327  loss_rpn_cls: 0.002787  loss_rpn_loc: 0.02252  time: 0.3256  data_time: 0.1131  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:38:29 d2.utils.events]: \u001b[0m eta: 1:25:04  iter: 24699  total_loss: 0.283  loss_cls: 0.02261  loss_box_reg: 0.05158  loss_mask: 0.162  loss_rpn_cls: 0.00168  loss_rpn_loc: 0.02684  time: 0.3256  data_time: 0.1136  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:38:35 d2.utils.events]: \u001b[0m eta: 1:25:00  iter: 24719  total_loss: 0.2329  loss_cls: 0.0242  loss_box_reg: 0.05065  loss_mask: 0.1323  loss_rpn_cls: 0.001585  loss_rpn_loc: 0.02773  time: 0.3256  data_time: 0.1147  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:38:42 d2.utils.events]: \u001b[0m eta: 1:24:53  iter: 24739  total_loss: 0.2444  loss_cls: 0.0263  loss_box_reg: 0.05235  loss_mask: 0.1257  loss_rpn_cls: 0.00129  loss_rpn_loc: 0.02567  time: 0.3256  data_time: 0.1137  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:38:49 d2.utils.events]: \u001b[0m eta: 1:24:48  iter: 24759  total_loss: 0.2308  loss_cls: 0.02066  loss_box_reg: 0.03575  loss_mask: 0.1244  loss_rpn_cls: 0.0009908  loss_rpn_loc: 0.01899  time: 0.3256  data_time: 0.1142  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:38:55 d2.utils.events]: \u001b[0m eta: 1:24:39  iter: 24779  total_loss: 0.2496  loss_cls: 0.02325  loss_box_reg: 0.04486  loss_mask: 0.1382  loss_rpn_cls: 0.002992  loss_rpn_loc: 0.01773  time: 0.3256  data_time: 0.1155  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:39:02 d2.utils.events]: \u001b[0m eta: 1:24:33  iter: 24799  total_loss: 0.2258  loss_cls: 0.02511  loss_box_reg: 0.04681  loss_mask: 0.1287  loss_rpn_cls: 0.001601  loss_rpn_loc: 0.02132  time: 0.3257  data_time: 0.1150  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:39:09 d2.utils.events]: \u001b[0m eta: 1:24:32  iter: 24819  total_loss: 0.2196  loss_cls: 0.02172  loss_box_reg: 0.04868  loss_mask: 0.1302  loss_rpn_cls: 0.001665  loss_rpn_loc: 0.01847  time: 0.3257  data_time: 0.1159  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:39:15 d2.utils.events]: \u001b[0m eta: 1:24:30  iter: 24839  total_loss: 0.2166  loss_cls: 0.02488  loss_box_reg: 0.05427  loss_mask: 0.1232  loss_rpn_cls: 0.001627  loss_rpn_loc: 0.01865  time: 0.3257  data_time: 0.1141  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:39:22 d2.utils.events]: \u001b[0m eta: 1:24:17  iter: 24859  total_loss: 0.2532  loss_cls: 0.02155  loss_box_reg: 0.04563  loss_mask: 0.1507  loss_rpn_cls: 0.00125  loss_rpn_loc: 0.02396  time: 0.3257  data_time: 0.1137  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:39:28 d2.utils.events]: \u001b[0m eta: 1:24:06  iter: 24879  total_loss: 0.1988  loss_cls: 0.01821  loss_box_reg: 0.03889  loss_mask: 0.1227  loss_rpn_cls: 0.0006652  loss_rpn_loc: 0.01639  time: 0.3257  data_time: 0.1141  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:39:35 d2.utils.events]: \u001b[0m eta: 1:24:00  iter: 24899  total_loss: 0.2683  loss_cls: 0.02589  loss_box_reg: 0.05563  loss_mask: 0.1558  loss_rpn_cls: 0.001652  loss_rpn_loc: 0.02644  time: 0.3257  data_time: 0.1140  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:39:42 d2.utils.events]: \u001b[0m eta: 1:23:51  iter: 24919  total_loss: 0.275  loss_cls: 0.02988  loss_box_reg: 0.06129  loss_mask: 0.1613  loss_rpn_cls: 0.001597  loss_rpn_loc: 0.02271  time: 0.3257  data_time: 0.1138  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:39:48 d2.utils.events]: \u001b[0m eta: 1:23:46  iter: 24939  total_loss: 0.2533  loss_cls: 0.02159  loss_box_reg: 0.04652  loss_mask: 0.1598  loss_rpn_cls: 0.00222  loss_rpn_loc: 0.02036  time: 0.3257  data_time: 0.1152  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:39:55 d2.utils.events]: \u001b[0m eta: 1:23:43  iter: 24959  total_loss: 0.2291  loss_cls: 0.01637  loss_box_reg: 0.04406  loss_mask: 0.1412  loss_rpn_cls: 0.002828  loss_rpn_loc: 0.02229  time: 0.3257  data_time: 0.1149  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:40:01 d2.utils.events]: \u001b[0m eta: 1:23:33  iter: 24979  total_loss: 0.2637  loss_cls: 0.02241  loss_box_reg: 0.04452  loss_mask: 0.1525  loss_rpn_cls: 0.004717  loss_rpn_loc: 0.02479  time: 0.3257  data_time: 0.1148  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:40:08 d2.utils.events]: \u001b[0m eta: 1:23:25  iter: 24999  total_loss: 0.1935  loss_cls: 0.02119  loss_box_reg: 0.03884  loss_mask: 0.1202  loss_rpn_cls: 0.001691  loss_rpn_loc: 0.01523  time: 0.3257  data_time: 0.1137  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:40:15 d2.utils.events]: \u001b[0m eta: 1:23:20  iter: 25019  total_loss: 0.2437  loss_cls: 0.02392  loss_box_reg: 0.0474  loss_mask: 0.1373  loss_rpn_cls: 0.004039  loss_rpn_loc: 0.0164  time: 0.3257  data_time: 0.1144  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:40:21 d2.utils.events]: \u001b[0m eta: 1:23:14  iter: 25039  total_loss: 0.2254  loss_cls: 0.0234  loss_box_reg: 0.05117  loss_mask: 0.1238  loss_rpn_cls: 0.002072  loss_rpn_loc: 0.01383  time: 0.3257  data_time: 0.1137  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:40:27 d2.utils.events]: \u001b[0m eta: 1:23:05  iter: 25059  total_loss: 0.2177  loss_cls: 0.02403  loss_box_reg: 0.04518  loss_mask: 0.1396  loss_rpn_cls: 0.0007254  loss_rpn_loc: 0.01804  time: 0.3257  data_time: 0.1134  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:40:34 d2.utils.events]: \u001b[0m eta: 1:22:51  iter: 25079  total_loss: 0.2291  loss_cls: 0.02249  loss_box_reg: 0.04619  loss_mask: 0.1379  loss_rpn_cls: 0.003163  loss_rpn_loc: 0.02596  time: 0.3257  data_time: 0.1139  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:40:40 d2.utils.events]: \u001b[0m eta: 1:22:42  iter: 25099  total_loss: 0.2303  loss_cls: 0.01909  loss_box_reg: 0.04049  loss_mask: 0.139  loss_rpn_cls: 0.001973  loss_rpn_loc: 0.02427  time: 0.3256  data_time: 0.1139  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:40:47 d2.utils.events]: \u001b[0m eta: 1:22:36  iter: 25119  total_loss: 0.242  loss_cls: 0.02219  loss_box_reg: 0.05042  loss_mask: 0.1367  loss_rpn_cls: 0.001985  loss_rpn_loc: 0.02231  time: 0.3256  data_time: 0.1145  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:40:53 d2.utils.events]: \u001b[0m eta: 1:22:29  iter: 25139  total_loss: 0.2517  loss_cls: 0.02354  loss_box_reg: 0.04888  loss_mask: 0.1405  loss_rpn_cls: 0.001488  loss_rpn_loc: 0.02448  time: 0.3256  data_time: 0.1145  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:41:00 d2.utils.events]: \u001b[0m eta: 1:22:18  iter: 25159  total_loss: 0.2081  loss_cls: 0.02261  loss_box_reg: 0.04983  loss_mask: 0.1365  loss_rpn_cls: 0.001838  loss_rpn_loc: 0.01648  time: 0.3256  data_time: 0.1133  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:41:06 d2.utils.events]: \u001b[0m eta: 1:22:09  iter: 25179  total_loss: 0.2394  loss_cls: 0.02761  loss_box_reg: 0.05262  loss_mask: 0.1389  loss_rpn_cls: 0.00193  loss_rpn_loc: 0.01985  time: 0.3256  data_time: 0.1138  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:41:13 d2.utils.events]: \u001b[0m eta: 1:22:00  iter: 25199  total_loss: 0.2167  loss_cls: 0.02512  loss_box_reg: 0.04358  loss_mask: 0.1373  loss_rpn_cls: 0.002181  loss_rpn_loc: 0.02298  time: 0.3256  data_time: 0.1141  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:41:19 d2.utils.events]: \u001b[0m eta: 1:21:47  iter: 25219  total_loss: 0.2469  loss_cls: 0.02174  loss_box_reg: 0.04471  loss_mask: 0.1419  loss_rpn_cls: 0.004056  loss_rpn_loc: 0.02296  time: 0.3256  data_time: 0.1143  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:41:26 d2.utils.events]: \u001b[0m eta: 1:21:37  iter: 25239  total_loss: 0.2597  loss_cls: 0.02493  loss_box_reg: 0.04938  loss_mask: 0.1363  loss_rpn_cls: 0.002305  loss_rpn_loc: 0.0242  time: 0.3256  data_time: 0.1142  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:41:32 d2.utils.events]: \u001b[0m eta: 1:21:28  iter: 25259  total_loss: 0.2083  loss_cls: 0.02078  loss_box_reg: 0.04674  loss_mask: 0.1207  loss_rpn_cls: 0.001163  loss_rpn_loc: 0.02429  time: 0.3256  data_time: 0.1144  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:41:38 d2.utils.events]: \u001b[0m eta: 1:21:20  iter: 25279  total_loss: 0.2851  loss_cls: 0.02511  loss_box_reg: 0.05153  loss_mask: 0.1549  loss_rpn_cls: 0.004027  loss_rpn_loc: 0.02611  time: 0.3256  data_time: 0.1131  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:41:45 d2.utils.events]: \u001b[0m eta: 1:21:13  iter: 25299  total_loss: 0.2845  loss_cls: 0.0227  loss_box_reg: 0.06156  loss_mask: 0.1493  loss_rpn_cls: 0.001475  loss_rpn_loc: 0.02467  time: 0.3256  data_time: 0.1142  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:41:51 d2.utils.events]: \u001b[0m eta: 1:21:01  iter: 25319  total_loss: 0.1922  loss_cls: 0.02011  loss_box_reg: 0.03706  loss_mask: 0.1255  loss_rpn_cls: 0.002399  loss_rpn_loc: 0.01963  time: 0.3256  data_time: 0.1146  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:41:58 d2.utils.events]: \u001b[0m eta: 1:20:44  iter: 25339  total_loss: 0.2294  loss_cls: 0.01922  loss_box_reg: 0.0458  loss_mask: 0.1341  loss_rpn_cls: 0.001837  loss_rpn_loc: 0.02482  time: 0.3256  data_time: 0.1130  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:42:04 d2.utils.events]: \u001b[0m eta: 1:20:30  iter: 25359  total_loss: 0.2448  loss_cls: 0.02108  loss_box_reg: 0.04027  loss_mask: 0.1479  loss_rpn_cls: 0.0009106  loss_rpn_loc: 0.01933  time: 0.3256  data_time: 0.1145  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:42:10 d2.utils.events]: \u001b[0m eta: 1:20:18  iter: 25379  total_loss: 0.1948  loss_cls: 0.01627  loss_box_reg: 0.03515  loss_mask: 0.1196  loss_rpn_cls: 0.003327  loss_rpn_loc: 0.01331  time: 0.3256  data_time: 0.1152  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:42:17 d2.utils.events]: \u001b[0m eta: 1:20:05  iter: 25399  total_loss: 0.2402  loss_cls: 0.0208  loss_box_reg: 0.04776  loss_mask: 0.1415  loss_rpn_cls: 0.002938  loss_rpn_loc: 0.02365  time: 0.3256  data_time: 0.1126  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:42:24 d2.utils.events]: \u001b[0m eta: 1:19:56  iter: 25419  total_loss: 0.2442  loss_cls: 0.02085  loss_box_reg: 0.03705  loss_mask: 0.1283  loss_rpn_cls: 0.001307  loss_rpn_loc: 0.01639  time: 0.3256  data_time: 0.1142  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:42:30 d2.utils.events]: \u001b[0m eta: 1:19:48  iter: 25439  total_loss: 0.2576  loss_cls: 0.0272  loss_box_reg: 0.05063  loss_mask: 0.1452  loss_rpn_cls: 0.002601  loss_rpn_loc: 0.01728  time: 0.3256  data_time: 0.1125  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:42:37 d2.utils.events]: \u001b[0m eta: 1:19:37  iter: 25459  total_loss: 0.2676  loss_cls: 0.02534  loss_box_reg: 0.05427  loss_mask: 0.1435  loss_rpn_cls: 0.001938  loss_rpn_loc: 0.02028  time: 0.3256  data_time: 0.1143  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:42:43 d2.utils.events]: \u001b[0m eta: 1:19:22  iter: 25479  total_loss: 0.2197  loss_cls: 0.02131  loss_box_reg: 0.04533  loss_mask: 0.1274  loss_rpn_cls: 0.003094  loss_rpn_loc: 0.02435  time: 0.3256  data_time: 0.1144  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:42:49 d2.utils.events]: \u001b[0m eta: 1:19:17  iter: 25499  total_loss: 0.2076  loss_cls: 0.02161  loss_box_reg: 0.03827  loss_mask: 0.1203  loss_rpn_cls: 0.001558  loss_rpn_loc: 0.01339  time: 0.3256  data_time: 0.1157  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:42:56 d2.utils.events]: \u001b[0m eta: 1:19:03  iter: 25519  total_loss: 0.2115  loss_cls: 0.02517  loss_box_reg: 0.04165  loss_mask: 0.1315  loss_rpn_cls: 0.001862  loss_rpn_loc: 0.02091  time: 0.3256  data_time: 0.1141  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:43:02 d2.utils.events]: \u001b[0m eta: 1:18:56  iter: 25539  total_loss: 0.2091  loss_cls: 0.01756  loss_box_reg: 0.04057  loss_mask: 0.1428  loss_rpn_cls: 0.002069  loss_rpn_loc: 0.02117  time: 0.3256  data_time: 0.1143  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:43:08 d2.utils.events]: \u001b[0m eta: 1:18:43  iter: 25559  total_loss: 0.2185  loss_cls: 0.02205  loss_box_reg: 0.04235  loss_mask: 0.1323  loss_rpn_cls: 0.001784  loss_rpn_loc: 0.02131  time: 0.3256  data_time: 0.1137  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:43:15 d2.utils.events]: \u001b[0m eta: 1:18:35  iter: 25579  total_loss: 0.2529  loss_cls: 0.02424  loss_box_reg: 0.05623  loss_mask: 0.1361  loss_rpn_cls: 0.003435  loss_rpn_loc: 0.02916  time: 0.3256  data_time: 0.1166  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:43:22 d2.utils.events]: \u001b[0m eta: 1:18:29  iter: 25599  total_loss: 0.2278  loss_cls: 0.02141  loss_box_reg: 0.04888  loss_mask: 0.1493  loss_rpn_cls: 0.001155  loss_rpn_loc: 0.01593  time: 0.3256  data_time: 0.1157  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:43:28 d2.utils.events]: \u001b[0m eta: 1:18:15  iter: 25619  total_loss: 0.2431  loss_cls: 0.0199  loss_box_reg: 0.04218  loss_mask: 0.17  loss_rpn_cls: 0.002108  loss_rpn_loc: 0.0207  time: 0.3256  data_time: 0.1155  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:43:34 d2.utils.events]: \u001b[0m eta: 1:18:03  iter: 25639  total_loss: 0.2481  loss_cls: 0.01973  loss_box_reg: 0.05449  loss_mask: 0.153  loss_rpn_cls: 0.001779  loss_rpn_loc: 0.02929  time: 0.3256  data_time: 0.1132  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:43:41 d2.utils.events]: \u001b[0m eta: 1:17:55  iter: 25659  total_loss: 0.2458  loss_cls: 0.02477  loss_box_reg: 0.04848  loss_mask: 0.141  loss_rpn_cls: 0.001475  loss_rpn_loc: 0.02163  time: 0.3256  data_time: 0.1142  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:43:47 d2.utils.events]: \u001b[0m eta: 1:17:49  iter: 25679  total_loss: 0.2352  loss_cls: 0.02209  loss_box_reg: 0.04913  loss_mask: 0.1224  loss_rpn_cls: 0.001411  loss_rpn_loc: 0.02125  time: 0.3256  data_time: 0.1134  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:43:54 d2.utils.events]: \u001b[0m eta: 1:17:40  iter: 25699  total_loss: 0.2662  loss_cls: 0.02657  loss_box_reg: 0.06009  loss_mask: 0.1452  loss_rpn_cls: 0.001034  loss_rpn_loc: 0.02592  time: 0.3256  data_time: 0.1145  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:44:00 d2.utils.events]: \u001b[0m eta: 1:17:27  iter: 25719  total_loss: 0.247  loss_cls: 0.01939  loss_box_reg: 0.04578  loss_mask: 0.1428  loss_rpn_cls: 0.001861  loss_rpn_loc: 0.01824  time: 0.3256  data_time: 0.1136  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:44:07 d2.utils.events]: \u001b[0m eta: 1:17:16  iter: 25739  total_loss: 0.2438  loss_cls: 0.02411  loss_box_reg: 0.04558  loss_mask: 0.1503  loss_rpn_cls: 0.001783  loss_rpn_loc: 0.01948  time: 0.3255  data_time: 0.1125  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:44:13 d2.utils.events]: \u001b[0m eta: 1:17:01  iter: 25759  total_loss: 0.2042  loss_cls: 0.02028  loss_box_reg: 0.03795  loss_mask: 0.1309  loss_rpn_cls: 0.00147  loss_rpn_loc: 0.01711  time: 0.3255  data_time: 0.1136  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:44:19 d2.utils.events]: \u001b[0m eta: 1:16:48  iter: 25779  total_loss: 0.2652  loss_cls: 0.02053  loss_box_reg: 0.04674  loss_mask: 0.1612  loss_rpn_cls: 0.002533  loss_rpn_loc: 0.02157  time: 0.3255  data_time: 0.1142  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:44:26 d2.utils.events]: \u001b[0m eta: 1:16:40  iter: 25799  total_loss: 0.2455  loss_cls: 0.02336  loss_box_reg: 0.05114  loss_mask: 0.1465  loss_rpn_cls: 0.001607  loss_rpn_loc: 0.02111  time: 0.3255  data_time: 0.1144  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:44:32 d2.utils.events]: \u001b[0m eta: 1:16:29  iter: 25819  total_loss: 0.2346  loss_cls: 0.01889  loss_box_reg: 0.04556  loss_mask: 0.1414  loss_rpn_cls: 0.00179  loss_rpn_loc: 0.01749  time: 0.3255  data_time: 0.1114  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:44:38 d2.utils.events]: \u001b[0m eta: 1:16:21  iter: 25839  total_loss: 0.2025  loss_cls: 0.01678  loss_box_reg: 0.04269  loss_mask: 0.1147  loss_rpn_cls: 0.002231  loss_rpn_loc: 0.01912  time: 0.3255  data_time: 0.1136  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:44:45 d2.utils.events]: \u001b[0m eta: 1:16:16  iter: 25859  total_loss: 0.221  loss_cls: 0.02641  loss_box_reg: 0.042  loss_mask: 0.138  loss_rpn_cls: 0.001884  loss_rpn_loc: 0.01787  time: 0.3255  data_time: 0.1140  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:44:51 d2.utils.events]: \u001b[0m eta: 1:16:09  iter: 25879  total_loss: 0.2863  loss_cls: 0.02745  loss_box_reg: 0.06354  loss_mask: 0.1478  loss_rpn_cls: 0.002351  loss_rpn_loc: 0.02876  time: 0.3255  data_time: 0.1149  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:44:58 d2.utils.events]: \u001b[0m eta: 1:16:01  iter: 25899  total_loss: 0.2079  loss_cls: 0.02234  loss_box_reg: 0.04084  loss_mask: 0.1261  loss_rpn_cls: 0.002544  loss_rpn_loc: 0.01385  time: 0.3255  data_time: 0.1149  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:45:04 d2.utils.events]: \u001b[0m eta: 1:15:55  iter: 25919  total_loss: 0.2762  loss_cls: 0.02573  loss_box_reg: 0.05258  loss_mask: 0.1574  loss_rpn_cls: 0.002447  loss_rpn_loc: 0.02576  time: 0.3255  data_time: 0.1142  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:45:11 d2.utils.events]: \u001b[0m eta: 1:15:48  iter: 25939  total_loss: 0.2197  loss_cls: 0.0202  loss_box_reg: 0.05135  loss_mask: 0.1328  loss_rpn_cls: 0.001439  loss_rpn_loc: 0.02272  time: 0.3255  data_time: 0.1139  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:45:17 d2.utils.events]: \u001b[0m eta: 1:15:42  iter: 25959  total_loss: 0.2511  loss_cls: 0.0236  loss_box_reg: 0.04714  loss_mask: 0.1438  loss_rpn_cls: 0.002832  loss_rpn_loc: 0.02119  time: 0.3255  data_time: 0.1141  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:45:24 d2.utils.events]: \u001b[0m eta: 1:15:32  iter: 25979  total_loss: 0.1723  loss_cls: 0.01553  loss_box_reg: 0.03361  loss_mask: 0.1113  loss_rpn_cls: 0.0006197  loss_rpn_loc: 0.01372  time: 0.3255  data_time: 0.1139  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:45:30 d2.utils.events]: \u001b[0m eta: 1:15:27  iter: 25999  total_loss: 0.2207  loss_cls: 0.02299  loss_box_reg: 0.04716  loss_mask: 0.1353  loss_rpn_cls: 0.00226  loss_rpn_loc: 0.02086  time: 0.3255  data_time: 0.1136  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:45:37 d2.utils.events]: \u001b[0m eta: 1:15:22  iter: 26019  total_loss: 0.2379  loss_cls: 0.02516  loss_box_reg: 0.05589  loss_mask: 0.1305  loss_rpn_cls: 0.003199  loss_rpn_loc: 0.02121  time: 0.3255  data_time: 0.1144  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:45:43 d2.utils.events]: \u001b[0m eta: 1:15:12  iter: 26039  total_loss: 0.235  loss_cls: 0.02104  loss_box_reg: 0.04674  loss_mask: 0.1419  loss_rpn_cls: 0.001516  loss_rpn_loc: 0.02259  time: 0.3255  data_time: 0.1147  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:45:50 d2.utils.events]: \u001b[0m eta: 1:15:06  iter: 26059  total_loss: 0.2  loss_cls: 0.01684  loss_box_reg: 0.04644  loss_mask: 0.1178  loss_rpn_cls: 0.001344  loss_rpn_loc: 0.02025  time: 0.3255  data_time: 0.1152  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:45:56 d2.utils.events]: \u001b[0m eta: 1:15:00  iter: 26079  total_loss: 0.2108  loss_cls: 0.02146  loss_box_reg: 0.0356  loss_mask: 0.1261  loss_rpn_cls: 0.001086  loss_rpn_loc: 0.01946  time: 0.3255  data_time: 0.1142  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:46:02 d2.utils.events]: \u001b[0m eta: 1:14:56  iter: 26099  total_loss: 0.2099  loss_cls: 0.01959  loss_box_reg: 0.04328  loss_mask: 0.1232  loss_rpn_cls: 0.0009701  loss_rpn_loc: 0.01846  time: 0.3255  data_time: 0.1134  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:46:09 d2.utils.events]: \u001b[0m eta: 1:14:49  iter: 26119  total_loss: 0.2363  loss_cls: 0.02185  loss_box_reg: 0.03905  loss_mask: 0.1383  loss_rpn_cls: 0.001906  loss_rpn_loc: 0.02068  time: 0.3255  data_time: 0.1130  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:46:15 d2.utils.events]: \u001b[0m eta: 1:14:40  iter: 26139  total_loss: 0.1964  loss_cls: 0.01682  loss_box_reg: 0.03779  loss_mask: 0.1143  loss_rpn_cls: 0.004576  loss_rpn_loc: 0.02193  time: 0.3255  data_time: 0.1144  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:46:22 d2.utils.events]: \u001b[0m eta: 1:14:35  iter: 26159  total_loss: 0.2241  loss_cls: 0.01784  loss_box_reg: 0.03841  loss_mask: 0.1379  loss_rpn_cls: 0.001708  loss_rpn_loc: 0.01722  time: 0.3255  data_time: 0.1148  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:46:28 d2.utils.events]: \u001b[0m eta: 1:14:28  iter: 26179  total_loss: 0.2211  loss_cls: 0.02188  loss_box_reg: 0.03917  loss_mask: 0.1324  loss_rpn_cls: 0.002632  loss_rpn_loc: 0.01971  time: 0.3255  data_time: 0.1140  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:46:34 d2.utils.events]: \u001b[0m eta: 1:14:18  iter: 26199  total_loss: 0.187  loss_cls: 0.0169  loss_box_reg: 0.034  loss_mask: 0.1212  loss_rpn_cls: 0.002494  loss_rpn_loc: 0.01511  time: 0.3255  data_time: 0.1144  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:46:41 d2.utils.events]: \u001b[0m eta: 1:14:11  iter: 26219  total_loss: 0.217  loss_cls: 0.02409  loss_box_reg: 0.04805  loss_mask: 0.1195  loss_rpn_cls: 0.002285  loss_rpn_loc: 0.0153  time: 0.3255  data_time: 0.1137  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:46:47 d2.utils.events]: \u001b[0m eta: 1:14:01  iter: 26239  total_loss: 0.2446  loss_cls: 0.02266  loss_box_reg: 0.04483  loss_mask: 0.1378  loss_rpn_cls: 0.002765  loss_rpn_loc: 0.02221  time: 0.3255  data_time: 0.1139  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:46:54 d2.utils.events]: \u001b[0m eta: 1:13:56  iter: 26259  total_loss: 0.2112  loss_cls: 0.02447  loss_box_reg: 0.04943  loss_mask: 0.1314  loss_rpn_cls: 0.00166  loss_rpn_loc: 0.01621  time: 0.3255  data_time: 0.1140  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:47:00 d2.utils.events]: \u001b[0m eta: 1:13:51  iter: 26279  total_loss: 0.233  loss_cls: 0.02714  loss_box_reg: 0.04987  loss_mask: 0.1366  loss_rpn_cls: 0.0021  loss_rpn_loc: 0.0273  time: 0.3254  data_time: 0.1134  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:47:07 d2.utils.events]: \u001b[0m eta: 1:13:46  iter: 26299  total_loss: 0.2666  loss_cls: 0.02219  loss_box_reg: 0.0509  loss_mask: 0.1357  loss_rpn_cls: 0.003585  loss_rpn_loc: 0.03226  time: 0.3254  data_time: 0.1130  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:47:13 d2.utils.events]: \u001b[0m eta: 1:13:40  iter: 26319  total_loss: 0.2553  loss_cls: 0.02095  loss_box_reg: 0.05146  loss_mask: 0.1541  loss_rpn_cls: 0.003172  loss_rpn_loc: 0.03193  time: 0.3254  data_time: 0.1141  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:47:20 d2.utils.events]: \u001b[0m eta: 1:13:36  iter: 26339  total_loss: 0.2215  loss_cls: 0.02471  loss_box_reg: 0.05319  loss_mask: 0.1193  loss_rpn_cls: 0.002961  loss_rpn_loc: 0.01693  time: 0.3254  data_time: 0.1138  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:47:26 d2.utils.events]: \u001b[0m eta: 1:13:29  iter: 26359  total_loss: 0.2469  loss_cls: 0.02044  loss_box_reg: 0.04057  loss_mask: 0.1504  loss_rpn_cls: 0.002152  loss_rpn_loc: 0.02826  time: 0.3254  data_time: 0.1138  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:47:32 d2.utils.events]: \u001b[0m eta: 1:13:24  iter: 26379  total_loss: 0.2444  loss_cls: 0.02772  loss_box_reg: 0.04264  loss_mask: 0.13  loss_rpn_cls: 0.001071  loss_rpn_loc: 0.02081  time: 0.3254  data_time: 0.1139  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:47:39 d2.utils.events]: \u001b[0m eta: 1:13:15  iter: 26399  total_loss: 0.2544  loss_cls: 0.02059  loss_box_reg: 0.04501  loss_mask: 0.148  loss_rpn_cls: 0.001962  loss_rpn_loc: 0.01571  time: 0.3254  data_time: 0.1132  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:47:45 d2.utils.events]: \u001b[0m eta: 1:13:03  iter: 26419  total_loss: 0.2202  loss_cls: 0.0188  loss_box_reg: 0.04265  loss_mask: 0.1409  loss_rpn_cls: 0.00178  loss_rpn_loc: 0.02265  time: 0.3254  data_time: 0.1138  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:47:52 d2.utils.events]: \u001b[0m eta: 1:12:54  iter: 26439  total_loss: 0.2254  loss_cls: 0.02067  loss_box_reg: 0.0492  loss_mask: 0.1333  loss_rpn_cls: 0.002802  loss_rpn_loc: 0.02552  time: 0.3254  data_time: 0.1128  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:47:58 d2.utils.events]: \u001b[0m eta: 1:12:49  iter: 26459  total_loss: 0.2943  loss_cls: 0.02821  loss_box_reg: 0.05561  loss_mask: 0.1515  loss_rpn_cls: 0.002906  loss_rpn_loc: 0.02351  time: 0.3254  data_time: 0.1142  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:48:05 d2.utils.events]: \u001b[0m eta: 1:12:46  iter: 26479  total_loss: 0.262  loss_cls: 0.02398  loss_box_reg: 0.05072  loss_mask: 0.1462  loss_rpn_cls: 0.001678  loss_rpn_loc: 0.02385  time: 0.3254  data_time: 0.1130  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:48:11 d2.utils.events]: \u001b[0m eta: 1:12:38  iter: 26499  total_loss: 0.2282  loss_cls: 0.01663  loss_box_reg: 0.03518  loss_mask: 0.1387  loss_rpn_cls: 0.001518  loss_rpn_loc: 0.02293  time: 0.3254  data_time: 0.1130  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:48:17 d2.utils.events]: \u001b[0m eta: 1:12:33  iter: 26519  total_loss: 0.2179  loss_cls: 0.0182  loss_box_reg: 0.04099  loss_mask: 0.1322  loss_rpn_cls: 0.003539  loss_rpn_loc: 0.02671  time: 0.3254  data_time: 0.1151  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:48:24 d2.utils.events]: \u001b[0m eta: 1:12:26  iter: 26539  total_loss: 0.1936  loss_cls: 0.02134  loss_box_reg: 0.0411  loss_mask: 0.1073  loss_rpn_cls: 0.001874  loss_rpn_loc: 0.0139  time: 0.3254  data_time: 0.1138  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:48:31 d2.utils.events]: \u001b[0m eta: 1:12:20  iter: 26559  total_loss: 0.2004  loss_cls: 0.01958  loss_box_reg: 0.0415  loss_mask: 0.1116  loss_rpn_cls: 0.003258  loss_rpn_loc: 0.01795  time: 0.3254  data_time: 0.1136  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:48:37 d2.utils.events]: \u001b[0m eta: 1:12:12  iter: 26579  total_loss: 0.2396  loss_cls: 0.02572  loss_box_reg: 0.04645  loss_mask: 0.1466  loss_rpn_cls: 0.004568  loss_rpn_loc: 0.0186  time: 0.3254  data_time: 0.1130  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:48:44 d2.utils.events]: \u001b[0m eta: 1:12:05  iter: 26599  total_loss: 0.2176  loss_cls: 0.0199  loss_box_reg: 0.04583  loss_mask: 0.1231  loss_rpn_cls: 0.004404  loss_rpn_loc: 0.01857  time: 0.3254  data_time: 0.1140  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:48:50 d2.utils.events]: \u001b[0m eta: 1:12:01  iter: 26619  total_loss: 0.2076  loss_cls: 0.01602  loss_box_reg: 0.03452  loss_mask: 0.1212  loss_rpn_cls: 0.003636  loss_rpn_loc: 0.0152  time: 0.3254  data_time: 0.1145  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:48:57 d2.utils.events]: \u001b[0m eta: 1:11:55  iter: 26639  total_loss: 0.2057  loss_cls: 0.019  loss_box_reg: 0.03756  loss_mask: 0.1271  loss_rpn_cls: 0.002799  loss_rpn_loc: 0.0164  time: 0.3254  data_time: 0.1144  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:49:03 d2.utils.events]: \u001b[0m eta: 1:11:45  iter: 26659  total_loss: 0.2138  loss_cls: 0.01929  loss_box_reg: 0.0462  loss_mask: 0.1319  loss_rpn_cls: 0.001077  loss_rpn_loc: 0.01603  time: 0.3254  data_time: 0.1127  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:49:10 d2.utils.events]: \u001b[0m eta: 1:11:38  iter: 26679  total_loss: 0.2493  loss_cls: 0.02395  loss_box_reg: 0.05077  loss_mask: 0.1558  loss_rpn_cls: 0.005734  loss_rpn_loc: 0.02501  time: 0.3254  data_time: 0.1134  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:49:16 d2.utils.events]: \u001b[0m eta: 1:11:34  iter: 26699  total_loss: 0.2477  loss_cls: 0.02471  loss_box_reg: 0.04581  loss_mask: 0.1344  loss_rpn_cls: 0.0009079  loss_rpn_loc: 0.01986  time: 0.3254  data_time: 0.1138  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:49:22 d2.utils.events]: \u001b[0m eta: 1:11:29  iter: 26719  total_loss: 0.2411  loss_cls: 0.02271  loss_box_reg: 0.04692  loss_mask: 0.133  loss_rpn_cls: 0.002167  loss_rpn_loc: 0.0286  time: 0.3254  data_time: 0.1138  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:49:29 d2.utils.events]: \u001b[0m eta: 1:11:22  iter: 26739  total_loss: 0.2612  loss_cls: 0.03034  loss_box_reg: 0.05338  loss_mask: 0.1251  loss_rpn_cls: 0.002652  loss_rpn_loc: 0.02289  time: 0.3254  data_time: 0.1127  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:49:35 d2.utils.events]: \u001b[0m eta: 1:11:16  iter: 26759  total_loss: 0.2574  loss_cls: 0.02429  loss_box_reg: 0.05865  loss_mask: 0.147  loss_rpn_cls: 0.00488  loss_rpn_loc: 0.02413  time: 0.3254  data_time: 0.1130  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:49:42 d2.utils.events]: \u001b[0m eta: 1:11:12  iter: 26779  total_loss: 0.2257  loss_cls: 0.02404  loss_box_reg: 0.04252  loss_mask: 0.1333  loss_rpn_cls: 0.002398  loss_rpn_loc: 0.01872  time: 0.3254  data_time: 0.1125  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:49:48 d2.utils.events]: \u001b[0m eta: 1:11:05  iter: 26799  total_loss: 0.2461  loss_cls: 0.01839  loss_box_reg: 0.04763  loss_mask: 0.1452  loss_rpn_cls: 0.001575  loss_rpn_loc: 0.0211  time: 0.3254  data_time: 0.1148  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:49:55 d2.utils.events]: \u001b[0m eta: 1:11:01  iter: 26819  total_loss: 0.266  loss_cls: 0.02488  loss_box_reg: 0.05328  loss_mask: 0.1378  loss_rpn_cls: 0.001408  loss_rpn_loc: 0.02377  time: 0.3254  data_time: 0.1141  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:50:01 d2.utils.events]: \u001b[0m eta: 1:10:53  iter: 26839  total_loss: 0.2106  loss_cls: 0.02245  loss_box_reg: 0.04844  loss_mask: 0.128  loss_rpn_cls: 0.00113  loss_rpn_loc: 0.0166  time: 0.3254  data_time: 0.1127  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:50:07 d2.utils.events]: \u001b[0m eta: 1:10:43  iter: 26859  total_loss: 0.1935  loss_cls: 0.01381  loss_box_reg: 0.04125  loss_mask: 0.1156  loss_rpn_cls: 0.00184  loss_rpn_loc: 0.01617  time: 0.3254  data_time: 0.1145  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:50:14 d2.utils.events]: \u001b[0m eta: 1:10:37  iter: 26879  total_loss: 0.2348  loss_cls: 0.02166  loss_box_reg: 0.03695  loss_mask: 0.1452  loss_rpn_cls: 0.003066  loss_rpn_loc: 0.01873  time: 0.3254  data_time: 0.1144  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:50:20 d2.utils.events]: \u001b[0m eta: 1:10:31  iter: 26899  total_loss: 0.1987  loss_cls: 0.01616  loss_box_reg: 0.03862  loss_mask: 0.1132  loss_rpn_cls: 0.001022  loss_rpn_loc: 0.01851  time: 0.3254  data_time: 0.1132  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:50:27 d2.utils.events]: \u001b[0m eta: 1:10:22  iter: 26919  total_loss: 0.2452  loss_cls: 0.01902  loss_box_reg: 0.0455  loss_mask: 0.1419  loss_rpn_cls: 0.001742  loss_rpn_loc: 0.01997  time: 0.3254  data_time: 0.1126  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:50:33 d2.utils.events]: \u001b[0m eta: 1:10:12  iter: 26939  total_loss: 0.2271  loss_cls: 0.02472  loss_box_reg: 0.0455  loss_mask: 0.1299  loss_rpn_cls: 0.004466  loss_rpn_loc: 0.02077  time: 0.3254  data_time: 0.1122  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:50:39 d2.utils.events]: \u001b[0m eta: 1:10:03  iter: 26959  total_loss: 0.2344  loss_cls: 0.01971  loss_box_reg: 0.04176  loss_mask: 0.1295  loss_rpn_cls: 0.001677  loss_rpn_loc: 0.02117  time: 0.3254  data_time: 0.1132  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:50:46 d2.utils.events]: \u001b[0m eta: 1:09:58  iter: 26979  total_loss: 0.2591  loss_cls: 0.02673  loss_box_reg: 0.04836  loss_mask: 0.1507  loss_rpn_cls: 0.001898  loss_rpn_loc: 0.02158  time: 0.3254  data_time: 0.1143  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:50:52 d2.utils.events]: \u001b[0m eta: 1:09:50  iter: 26999  total_loss: 0.2253  loss_cls: 0.02179  loss_box_reg: 0.04523  loss_mask: 0.1301  loss_rpn_cls: 0.001066  loss_rpn_loc: 0.02352  time: 0.3253  data_time: 0.1130  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:50:58 d2.utils.events]: \u001b[0m eta: 1:09:42  iter: 27019  total_loss: 0.2187  loss_cls: 0.01971  loss_box_reg: 0.04132  loss_mask: 0.1266  loss_rpn_cls: 0.001317  loss_rpn_loc: 0.01832  time: 0.3253  data_time: 0.1142  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:51:05 d2.utils.events]: \u001b[0m eta: 1:09:37  iter: 27039  total_loss: 0.2732  loss_cls: 0.02273  loss_box_reg: 0.05616  loss_mask: 0.1445  loss_rpn_cls: 0.002197  loss_rpn_loc: 0.02163  time: 0.3253  data_time: 0.1128  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:51:11 d2.utils.events]: \u001b[0m eta: 1:09:29  iter: 27059  total_loss: 0.228  loss_cls: 0.01986  loss_box_reg: 0.03684  loss_mask: 0.1316  loss_rpn_cls: 0.002215  loss_rpn_loc: 0.02807  time: 0.3253  data_time: 0.1136  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:51:18 d2.utils.events]: \u001b[0m eta: 1:09:23  iter: 27079  total_loss: 0.2465  loss_cls: 0.02624  loss_box_reg: 0.04278  loss_mask: 0.1277  loss_rpn_cls: 0.001782  loss_rpn_loc: 0.01904  time: 0.3253  data_time: 0.1138  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:51:24 d2.utils.events]: \u001b[0m eta: 1:09:16  iter: 27099  total_loss: 0.2383  loss_cls: 0.02358  loss_box_reg: 0.04568  loss_mask: 0.1387  loss_rpn_cls: 0.001605  loss_rpn_loc: 0.01988  time: 0.3253  data_time: 0.1142  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:51:31 d2.utils.events]: \u001b[0m eta: 1:09:10  iter: 27119  total_loss: 0.1708  loss_cls: 0.02087  loss_box_reg: 0.04083  loss_mask: 0.09973  loss_rpn_cls: 0.0006437  loss_rpn_loc: 0.01561  time: 0.3253  data_time: 0.1137  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:51:37 d2.utils.events]: \u001b[0m eta: 1:09:05  iter: 27139  total_loss: 0.2399  loss_cls: 0.02602  loss_box_reg: 0.05941  loss_mask: 0.1398  loss_rpn_cls: 0.001294  loss_rpn_loc: 0.02216  time: 0.3253  data_time: 0.1134  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:51:44 d2.utils.events]: \u001b[0m eta: 1:08:59  iter: 27159  total_loss: 0.2715  loss_cls: 0.02809  loss_box_reg: 0.06202  loss_mask: 0.1417  loss_rpn_cls: 0.003466  loss_rpn_loc: 0.02595  time: 0.3253  data_time: 0.1120  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:51:50 d2.utils.events]: \u001b[0m eta: 1:08:51  iter: 27179  total_loss: 0.2136  loss_cls: 0.01965  loss_box_reg: 0.04449  loss_mask: 0.1287  loss_rpn_cls: 0.001484  loss_rpn_loc: 0.01805  time: 0.3253  data_time: 0.1131  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:51:56 d2.utils.events]: \u001b[0m eta: 1:08:46  iter: 27199  total_loss: 0.1958  loss_cls: 0.02191  loss_box_reg: 0.0411  loss_mask: 0.1283  loss_rpn_cls: 0.002593  loss_rpn_loc: 0.01937  time: 0.3253  data_time: 0.1127  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:52:03 d2.utils.events]: \u001b[0m eta: 1:08:40  iter: 27219  total_loss: 0.2206  loss_cls: 0.01771  loss_box_reg: 0.03739  loss_mask: 0.1226  loss_rpn_cls: 0.00113  loss_rpn_loc: 0.01828  time: 0.3253  data_time: 0.1134  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:52:09 d2.utils.events]: \u001b[0m eta: 1:08:35  iter: 27239  total_loss: 0.2347  loss_cls: 0.02538  loss_box_reg: 0.05035  loss_mask: 0.1287  loss_rpn_cls: 0.001829  loss_rpn_loc: 0.02331  time: 0.3253  data_time: 0.1130  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:52:16 d2.utils.events]: \u001b[0m eta: 1:08:25  iter: 27259  total_loss: 0.2232  loss_cls: 0.02544  loss_box_reg: 0.05566  loss_mask: 0.1332  loss_rpn_cls: 0.004436  loss_rpn_loc: 0.01945  time: 0.3253  data_time: 0.1141  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:52:22 d2.utils.events]: \u001b[0m eta: 1:08:18  iter: 27279  total_loss: 0.2346  loss_cls: 0.02289  loss_box_reg: 0.04539  loss_mask: 0.1342  loss_rpn_cls: 0.003831  loss_rpn_loc: 0.02189  time: 0.3253  data_time: 0.1129  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:52:28 d2.utils.events]: \u001b[0m eta: 1:08:10  iter: 27299  total_loss: 0.2248  loss_cls: 0.0217  loss_box_reg: 0.04508  loss_mask: 0.1355  loss_rpn_cls: 0.001116  loss_rpn_loc: 0.02234  time: 0.3253  data_time: 0.1136  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:52:35 d2.utils.events]: \u001b[0m eta: 1:08:03  iter: 27319  total_loss: 0.2401  loss_cls: 0.02224  loss_box_reg: 0.05289  loss_mask: 0.1291  loss_rpn_cls: 0.002584  loss_rpn_loc: 0.02031  time: 0.3253  data_time: 0.1143  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:52:41 d2.utils.events]: \u001b[0m eta: 1:07:59  iter: 27339  total_loss: 0.2191  loss_cls: 0.02046  loss_box_reg: 0.03745  loss_mask: 0.1226  loss_rpn_cls: 0.001319  loss_rpn_loc: 0.01777  time: 0.3253  data_time: 0.1133  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:52:48 d2.utils.events]: \u001b[0m eta: 1:07:53  iter: 27359  total_loss: 0.2153  loss_cls: 0.01734  loss_box_reg: 0.04767  loss_mask: 0.1269  loss_rpn_cls: 0.001257  loss_rpn_loc: 0.01449  time: 0.3253  data_time: 0.1153  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:52:54 d2.utils.events]: \u001b[0m eta: 1:07:48  iter: 27379  total_loss: 0.2372  loss_cls: 0.02102  loss_box_reg: 0.04065  loss_mask: 0.1374  loss_rpn_cls: 0.003407  loss_rpn_loc: 0.02234  time: 0.3253  data_time: 0.1144  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:53:01 d2.utils.events]: \u001b[0m eta: 1:07:40  iter: 27399  total_loss: 0.2277  loss_cls: 0.0251  loss_box_reg: 0.04739  loss_mask: 0.1217  loss_rpn_cls: 0.002859  loss_rpn_loc: 0.01987  time: 0.3253  data_time: 0.1142  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:53:07 d2.utils.events]: \u001b[0m eta: 1:07:36  iter: 27419  total_loss: 0.2494  loss_cls: 0.02225  loss_box_reg: 0.04051  loss_mask: 0.1412  loss_rpn_cls: 0.00152  loss_rpn_loc: 0.02141  time: 0.3253  data_time: 0.1141  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:53:14 d2.utils.events]: \u001b[0m eta: 1:07:29  iter: 27439  total_loss: 0.2662  loss_cls: 0.01839  loss_box_reg: 0.04685  loss_mask: 0.145  loss_rpn_cls: 0.001892  loss_rpn_loc: 0.01949  time: 0.3253  data_time: 0.1159  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:53:20 d2.utils.events]: \u001b[0m eta: 1:07:20  iter: 27459  total_loss: 0.2219  loss_cls: 0.01955  loss_box_reg: 0.04578  loss_mask: 0.1172  loss_rpn_cls: 0.001365  loss_rpn_loc: 0.01892  time: 0.3253  data_time: 0.1135  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:53:26 d2.utils.events]: \u001b[0m eta: 1:07:13  iter: 27479  total_loss: 0.2121  loss_cls: 0.02018  loss_box_reg: 0.03821  loss_mask: 0.1347  loss_rpn_cls: 0.001823  loss_rpn_loc: 0.02186  time: 0.3253  data_time: 0.1143  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:53:33 d2.utils.events]: \u001b[0m eta: 1:07:05  iter: 27499  total_loss: 0.1968  loss_cls: 0.01504  loss_box_reg: 0.03746  loss_mask: 0.1224  loss_rpn_cls: 0.001052  loss_rpn_loc: 0.01722  time: 0.3253  data_time: 0.1130  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:53:39 d2.utils.events]: \u001b[0m eta: 1:07:00  iter: 27519  total_loss: 0.2118  loss_cls: 0.02404  loss_box_reg: 0.03719  loss_mask: 0.1198  loss_rpn_cls: 0.002267  loss_rpn_loc: 0.01951  time: 0.3253  data_time: 0.1138  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:53:46 d2.utils.events]: \u001b[0m eta: 1:06:53  iter: 27539  total_loss: 0.2272  loss_cls: 0.02451  loss_box_reg: 0.04875  loss_mask: 0.1212  loss_rpn_cls: 0.001777  loss_rpn_loc: 0.01753  time: 0.3253  data_time: 0.1139  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:53:52 d2.utils.events]: \u001b[0m eta: 1:06:48  iter: 27559  total_loss: 0.221  loss_cls: 0.01868  loss_box_reg: 0.04344  loss_mask: 0.1326  loss_rpn_cls: 0.002567  loss_rpn_loc: 0.01569  time: 0.3253  data_time: 0.1129  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:53:58 d2.utils.events]: \u001b[0m eta: 1:06:41  iter: 27579  total_loss: 0.2525  loss_cls: 0.02684  loss_box_reg: 0.05297  loss_mask: 0.1395  loss_rpn_cls: 0.002342  loss_rpn_loc: 0.02239  time: 0.3252  data_time: 0.1133  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:54:05 d2.utils.events]: \u001b[0m eta: 1:06:33  iter: 27599  total_loss: 0.2275  loss_cls: 0.01463  loss_box_reg: 0.03639  loss_mask: 0.1279  loss_rpn_cls: 0.00153  loss_rpn_loc: 0.02448  time: 0.3252  data_time: 0.1136  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:54:11 d2.utils.events]: \u001b[0m eta: 1:06:25  iter: 27619  total_loss: 0.2256  loss_cls: 0.0176  loss_box_reg: 0.03874  loss_mask: 0.1332  loss_rpn_cls: 0.002489  loss_rpn_loc: 0.02095  time: 0.3252  data_time: 0.1125  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:54:18 d2.utils.events]: \u001b[0m eta: 1:06:17  iter: 27639  total_loss: 0.2142  loss_cls: 0.02339  loss_box_reg: 0.04782  loss_mask: 0.1302  loss_rpn_cls: 0.001143  loss_rpn_loc: 0.01716  time: 0.3252  data_time: 0.1116  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:54:24 d2.utils.events]: \u001b[0m eta: 1:06:12  iter: 27659  total_loss: 0.1919  loss_cls: 0.01605  loss_box_reg: 0.04288  loss_mask: 0.1141  loss_rpn_cls: 0.0004248  loss_rpn_loc: 0.01393  time: 0.3252  data_time: 0.1143  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:54:30 d2.utils.events]: \u001b[0m eta: 1:06:05  iter: 27679  total_loss: 0.2072  loss_cls: 0.02016  loss_box_reg: 0.03877  loss_mask: 0.1309  loss_rpn_cls: 0.001958  loss_rpn_loc: 0.02467  time: 0.3252  data_time: 0.1145  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:54:37 d2.utils.events]: \u001b[0m eta: 1:05:59  iter: 27699  total_loss: 0.2098  loss_cls: 0.02247  loss_box_reg: 0.04467  loss_mask: 0.1177  loss_rpn_cls: 0.000922  loss_rpn_loc: 0.01836  time: 0.3252  data_time: 0.1137  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:54:43 d2.utils.events]: \u001b[0m eta: 1:05:52  iter: 27719  total_loss: 0.2091  loss_cls: 0.02138  loss_box_reg: 0.04128  loss_mask: 0.1244  loss_rpn_cls: 0.00117  loss_rpn_loc: 0.02119  time: 0.3252  data_time: 0.1128  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:54:50 d2.utils.events]: \u001b[0m eta: 1:05:46  iter: 27739  total_loss: 0.2112  loss_cls: 0.02266  loss_box_reg: 0.05097  loss_mask: 0.1132  loss_rpn_cls: 0.001506  loss_rpn_loc: 0.0231  time: 0.3252  data_time: 0.1131  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:54:56 d2.utils.events]: \u001b[0m eta: 1:05:40  iter: 27759  total_loss: 0.2646  loss_cls: 0.02823  loss_box_reg: 0.05849  loss_mask: 0.1338  loss_rpn_cls: 0.003077  loss_rpn_loc: 0.02608  time: 0.3252  data_time: 0.1139  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:55:02 d2.utils.events]: \u001b[0m eta: 1:05:31  iter: 27779  total_loss: 0.2073  loss_cls: 0.01957  loss_box_reg: 0.04241  loss_mask: 0.1248  loss_rpn_cls: 0.0009702  loss_rpn_loc: 0.01426  time: 0.3252  data_time: 0.1134  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:55:09 d2.utils.events]: \u001b[0m eta: 1:05:21  iter: 27799  total_loss: 0.2223  loss_cls: 0.02206  loss_box_reg: 0.05127  loss_mask: 0.1339  loss_rpn_cls: 0.00499  loss_rpn_loc: 0.01754  time: 0.3252  data_time: 0.1141  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:55:15 d2.utils.events]: \u001b[0m eta: 1:05:14  iter: 27819  total_loss: 0.235  loss_cls: 0.02271  loss_box_reg: 0.04379  loss_mask: 0.1381  loss_rpn_cls: 0.002694  loss_rpn_loc: 0.02481  time: 0.3252  data_time: 0.1125  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:55:21 d2.utils.events]: \u001b[0m eta: 1:05:09  iter: 27839  total_loss: 0.227  loss_cls: 0.0221  loss_box_reg: 0.04904  loss_mask: 0.1311  loss_rpn_cls: 0.002383  loss_rpn_loc: 0.01874  time: 0.3252  data_time: 0.1135  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:55:28 d2.utils.events]: \u001b[0m eta: 1:05:05  iter: 27859  total_loss: 0.2373  loss_cls: 0.0227  loss_box_reg: 0.04537  loss_mask: 0.1408  loss_rpn_cls: 0.001737  loss_rpn_loc: 0.01938  time: 0.3252  data_time: 0.1124  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:55:34 d2.utils.events]: \u001b[0m eta: 1:04:59  iter: 27879  total_loss: 0.2374  loss_cls: 0.01922  loss_box_reg: 0.04315  loss_mask: 0.1254  loss_rpn_cls: 0.003189  loss_rpn_loc: 0.02945  time: 0.3252  data_time: 0.1131  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:55:41 d2.utils.events]: \u001b[0m eta: 1:04:50  iter: 27899  total_loss: 0.2021  loss_cls: 0.02124  loss_box_reg: 0.04247  loss_mask: 0.1132  loss_rpn_cls: 0.0007219  loss_rpn_loc: 0.01435  time: 0.3252  data_time: 0.1121  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:55:47 d2.utils.events]: \u001b[0m eta: 1:04:43  iter: 27919  total_loss: 0.2501  loss_cls: 0.01809  loss_box_reg: 0.04588  loss_mask: 0.1504  loss_rpn_cls: 0.001779  loss_rpn_loc: 0.02754  time: 0.3252  data_time: 0.1130  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:55:53 d2.utils.events]: \u001b[0m eta: 1:04:44  iter: 27939  total_loss: 0.2091  loss_cls: 0.0198  loss_box_reg: 0.04319  loss_mask: 0.1182  loss_rpn_cls: 0.002239  loss_rpn_loc: 0.02081  time: 0.3252  data_time: 0.1140  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:56:00 d2.utils.events]: \u001b[0m eta: 1:04:35  iter: 27959  total_loss: 0.22  loss_cls: 0.01783  loss_box_reg: 0.04012  loss_mask: 0.1337  loss_rpn_cls: 0.002205  loss_rpn_loc: 0.02002  time: 0.3251  data_time: 0.1137  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:56:06 d2.utils.events]: \u001b[0m eta: 1:04:28  iter: 27979  total_loss: 0.2071  loss_cls: 0.01932  loss_box_reg: 0.04269  loss_mask: 0.1178  loss_rpn_cls: 0.0003557  loss_rpn_loc: 0.01698  time: 0.3251  data_time: 0.1134  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:56:12 d2.utils.events]: \u001b[0m eta: 1:04:20  iter: 27999  total_loss: 0.2431  loss_cls: 0.02359  loss_box_reg: 0.04722  loss_mask: 0.1394  loss_rpn_cls: 0.001453  loss_rpn_loc: 0.02281  time: 0.3251  data_time: 0.1133  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:56:19 d2.utils.events]: \u001b[0m eta: 1:04:15  iter: 28019  total_loss: 0.2446  loss_cls: 0.02516  loss_box_reg: 0.05094  loss_mask: 0.1483  loss_rpn_cls: 0.001794  loss_rpn_loc: 0.02536  time: 0.3251  data_time: 0.1133  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:56:25 d2.utils.events]: \u001b[0m eta: 1:04:07  iter: 28039  total_loss: 0.1871  loss_cls: 0.01626  loss_box_reg: 0.0366  loss_mask: 0.1109  loss_rpn_cls: 0.001452  loss_rpn_loc: 0.02018  time: 0.3251  data_time: 0.1134  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:56:31 d2.utils.events]: \u001b[0m eta: 1:03:55  iter: 28059  total_loss: 0.2129  loss_cls: 0.01805  loss_box_reg: 0.04104  loss_mask: 0.1314  loss_rpn_cls: 0.001494  loss_rpn_loc: 0.01853  time: 0.3251  data_time: 0.1133  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:56:38 d2.utils.events]: \u001b[0m eta: 1:03:50  iter: 28079  total_loss: 0.2164  loss_cls: 0.02053  loss_box_reg: 0.04627  loss_mask: 0.124  loss_rpn_cls: 0.00175  loss_rpn_loc: 0.02287  time: 0.3251  data_time: 0.1132  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:56:44 d2.utils.events]: \u001b[0m eta: 1:03:45  iter: 28099  total_loss: 0.2482  loss_cls: 0.02449  loss_box_reg: 0.05219  loss_mask: 0.1422  loss_rpn_cls: 0.001552  loss_rpn_loc: 0.02015  time: 0.3251  data_time: 0.1133  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:56:51 d2.utils.events]: \u001b[0m eta: 1:03:39  iter: 28119  total_loss: 0.2451  loss_cls: 0.02524  loss_box_reg: 0.04952  loss_mask: 0.135  loss_rpn_cls: 0.003563  loss_rpn_loc: 0.01583  time: 0.3251  data_time: 0.1141  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:56:57 d2.utils.events]: \u001b[0m eta: 1:03:32  iter: 28139  total_loss: 0.1976  loss_cls: 0.02163  loss_box_reg: 0.04522  loss_mask: 0.1114  loss_rpn_cls: 0.001189  loss_rpn_loc: 0.01612  time: 0.3251  data_time: 0.1142  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:57:04 d2.utils.events]: \u001b[0m eta: 1:03:27  iter: 28159  total_loss: 0.203  loss_cls: 0.02202  loss_box_reg: 0.0401  loss_mask: 0.1189  loss_rpn_cls: 0.001004  loss_rpn_loc: 0.01768  time: 0.3251  data_time: 0.1137  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:57:10 d2.utils.events]: \u001b[0m eta: 1:03:19  iter: 28179  total_loss: 0.1848  loss_cls: 0.01307  loss_box_reg: 0.02776  loss_mask: 0.1262  loss_rpn_cls: 0.0022  loss_rpn_loc: 0.01258  time: 0.3251  data_time: 0.1135  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:57:16 d2.utils.events]: \u001b[0m eta: 1:03:13  iter: 28199  total_loss: 0.2209  loss_cls: 0.02146  loss_box_reg: 0.04347  loss_mask: 0.1222  loss_rpn_cls: 0.001632  loss_rpn_loc: 0.0195  time: 0.3251  data_time: 0.1126  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:57:23 d2.utils.events]: \u001b[0m eta: 1:03:06  iter: 28219  total_loss: 0.2121  loss_cls: 0.01646  loss_box_reg: 0.03233  loss_mask: 0.1276  loss_rpn_cls: 0.001007  loss_rpn_loc: 0.01957  time: 0.3251  data_time: 0.1129  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:57:29 d2.utils.events]: \u001b[0m eta: 1:02:56  iter: 28239  total_loss: 0.2752  loss_cls: 0.01986  loss_box_reg: 0.0481  loss_mask: 0.1426  loss_rpn_cls: 0.00282  loss_rpn_loc: 0.02448  time: 0.3251  data_time: 0.1141  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:57:35 d2.utils.events]: \u001b[0m eta: 1:02:52  iter: 28259  total_loss: 0.212  loss_cls: 0.01901  loss_box_reg: 0.04135  loss_mask: 0.1152  loss_rpn_cls: 0.001698  loss_rpn_loc: 0.02243  time: 0.3251  data_time: 0.1131  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:57:42 d2.utils.events]: \u001b[0m eta: 1:02:47  iter: 28279  total_loss: 0.2089  loss_cls: 0.01857  loss_box_reg: 0.04287  loss_mask: 0.1206  loss_rpn_cls: 0.002079  loss_rpn_loc: 0.01639  time: 0.3251  data_time: 0.1135  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:57:48 d2.utils.events]: \u001b[0m eta: 1:02:41  iter: 28299  total_loss: 0.226  loss_cls: 0.02607  loss_box_reg: 0.05147  loss_mask: 0.1297  loss_rpn_cls: 0.002649  loss_rpn_loc: 0.02011  time: 0.3251  data_time: 0.1135  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:57:55 d2.utils.events]: \u001b[0m eta: 1:02:32  iter: 28319  total_loss: 0.2124  loss_cls: 0.02017  loss_box_reg: 0.03817  loss_mask: 0.1279  loss_rpn_cls: 0.002926  loss_rpn_loc: 0.02041  time: 0.3251  data_time: 0.1141  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:58:01 d2.utils.events]: \u001b[0m eta: 1:02:24  iter: 28339  total_loss: 0.1999  loss_cls: 0.01705  loss_box_reg: 0.03833  loss_mask: 0.116  loss_rpn_cls: 0.001769  loss_rpn_loc: 0.02064  time: 0.3251  data_time: 0.1134  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:58:08 d2.utils.events]: \u001b[0m eta: 1:02:21  iter: 28359  total_loss: 0.3005  loss_cls: 0.03107  loss_box_reg: 0.0687  loss_mask: 0.1447  loss_rpn_cls: 0.002091  loss_rpn_loc: 0.03201  time: 0.3251  data_time: 0.1129  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:58:14 d2.utils.events]: \u001b[0m eta: 1:02:13  iter: 28379  total_loss: 0.278  loss_cls: 0.02149  loss_box_reg: 0.05135  loss_mask: 0.1428  loss_rpn_cls: 0.001603  loss_rpn_loc: 0.02756  time: 0.3251  data_time: 0.1136  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:58:20 d2.utils.events]: \u001b[0m eta: 1:02:05  iter: 28399  total_loss: 0.2208  loss_cls: 0.02351  loss_box_reg: 0.04642  loss_mask: 0.123  loss_rpn_cls: 0.001714  loss_rpn_loc: 0.01969  time: 0.3251  data_time: 0.1146  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:58:27 d2.utils.events]: \u001b[0m eta: 1:01:59  iter: 28419  total_loss: 0.1952  loss_cls: 0.019  loss_box_reg: 0.04068  loss_mask: 0.1171  loss_rpn_cls: 0.003003  loss_rpn_loc: 0.01335  time: 0.3251  data_time: 0.1136  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:58:33 d2.utils.events]: \u001b[0m eta: 1:01:56  iter: 28439  total_loss: 0.2757  loss_cls: 0.0248  loss_box_reg: 0.05122  loss_mask: 0.1691  loss_rpn_cls: 0.002719  loss_rpn_loc: 0.02891  time: 0.3251  data_time: 0.1126  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:58:40 d2.utils.events]: \u001b[0m eta: 1:01:49  iter: 28459  total_loss: 0.2118  loss_cls: 0.02271  loss_box_reg: 0.04283  loss_mask: 0.1267  loss_rpn_cls: 0.001666  loss_rpn_loc: 0.01728  time: 0.3250  data_time: 0.1131  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:58:46 d2.utils.events]: \u001b[0m eta: 1:01:43  iter: 28479  total_loss: 0.2254  loss_cls: 0.02222  loss_box_reg: 0.04468  loss_mask: 0.1377  loss_rpn_cls: 0.001647  loss_rpn_loc: 0.02624  time: 0.3250  data_time: 0.1140  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:58:52 d2.utils.events]: \u001b[0m eta: 1:01:36  iter: 28499  total_loss: 0.1959  loss_cls: 0.01429  loss_box_reg: 0.03243  loss_mask: 0.1185  loss_rpn_cls: 0.0008727  loss_rpn_loc: 0.01341  time: 0.3250  data_time: 0.1128  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:58:59 d2.utils.events]: \u001b[0m eta: 1:01:30  iter: 28519  total_loss: 0.2421  loss_cls: 0.02223  loss_box_reg: 0.0493  loss_mask: 0.125  loss_rpn_cls: 0.003312  loss_rpn_loc: 0.02011  time: 0.3250  data_time: 0.1139  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:59:05 d2.utils.events]: \u001b[0m eta: 1:01:26  iter: 28539  total_loss: 0.2078  loss_cls: 0.01903  loss_box_reg: 0.03524  loss_mask: 0.1084  loss_rpn_cls: 0.004096  loss_rpn_loc: 0.02027  time: 0.3250  data_time: 0.1144  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:59:12 d2.utils.events]: \u001b[0m eta: 1:01:18  iter: 28559  total_loss: 0.2072  loss_cls: 0.01711  loss_box_reg: 0.03962  loss_mask: 0.1221  loss_rpn_cls: 0.001296  loss_rpn_loc: 0.02121  time: 0.3250  data_time: 0.1144  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:59:18 d2.utils.events]: \u001b[0m eta: 1:01:13  iter: 28579  total_loss: 0.2251  loss_cls: 0.02226  loss_box_reg: 0.04654  loss_mask: 0.1203  loss_rpn_cls: 0.001795  loss_rpn_loc: 0.01808  time: 0.3250  data_time: 0.1134  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:59:25 d2.utils.events]: \u001b[0m eta: 1:01:08  iter: 28599  total_loss: 0.2235  loss_cls: 0.01988  loss_box_reg: 0.0431  loss_mask: 0.1242  loss_rpn_cls: 0.001317  loss_rpn_loc: 0.02138  time: 0.3250  data_time: 0.1139  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:59:31 d2.utils.events]: \u001b[0m eta: 1:00:58  iter: 28619  total_loss: 0.2371  loss_cls: 0.01938  loss_box_reg: 0.03825  loss_mask: 0.1408  loss_rpn_cls: 0.002062  loss_rpn_loc: 0.01788  time: 0.3250  data_time: 0.1132  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:59:37 d2.utils.events]: \u001b[0m eta: 1:00:53  iter: 28639  total_loss: 0.2693  loss_cls: 0.025  loss_box_reg: 0.04997  loss_mask: 0.142  loss_rpn_cls: 0.002011  loss_rpn_loc: 0.02641  time: 0.3250  data_time: 0.1142  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:59:44 d2.utils.events]: \u001b[0m eta: 1:00:47  iter: 28659  total_loss: 0.2218  loss_cls: 0.01718  loss_box_reg: 0.04294  loss_mask: 0.1226  loss_rpn_cls: 0.001548  loss_rpn_loc: 0.01877  time: 0.3250  data_time: 0.1132  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:59:50 d2.utils.events]: \u001b[0m eta: 1:00:43  iter: 28679  total_loss: 0.2002  loss_cls: 0.01649  loss_box_reg: 0.04108  loss_mask: 0.125  loss_rpn_cls: 0.001401  loss_rpn_loc: 0.01536  time: 0.3250  data_time: 0.1126  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 11:59:57 d2.utils.events]: \u001b[0m eta: 1:00:39  iter: 28699  total_loss: 0.3038  loss_cls: 0.03196  loss_box_reg: 0.06235  loss_mask: 0.152  loss_rpn_cls: 0.005884  loss_rpn_loc: 0.03022  time: 0.3250  data_time: 0.1140  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:00:03 d2.utils.events]: \u001b[0m eta: 1:00:35  iter: 28719  total_loss: 0.2351  loss_cls: 0.02012  loss_box_reg: 0.04398  loss_mask: 0.1302  loss_rpn_cls: 0.001587  loss_rpn_loc: 0.02258  time: 0.3250  data_time: 0.1148  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:00:09 d2.utils.events]: \u001b[0m eta: 1:00:25  iter: 28739  total_loss: 0.207  loss_cls: 0.0172  loss_box_reg: 0.03559  loss_mask: 0.1208  loss_rpn_cls: 0.001523  loss_rpn_loc: 0.02059  time: 0.3250  data_time: 0.1134  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:00:16 d2.utils.events]: \u001b[0m eta: 1:00:19  iter: 28759  total_loss: 0.1874  loss_cls: 0.01761  loss_box_reg: 0.03985  loss_mask: 0.1162  loss_rpn_cls: 0.001594  loss_rpn_loc: 0.01374  time: 0.3250  data_time: 0.1138  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:00:22 d2.utils.events]: \u001b[0m eta: 1:00:17  iter: 28779  total_loss: 0.2481  loss_cls: 0.02216  loss_box_reg: 0.04594  loss_mask: 0.133  loss_rpn_cls: 0.0007912  loss_rpn_loc: 0.01579  time: 0.3250  data_time: 0.1139  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:00:29 d2.utils.events]: \u001b[0m eta: 1:00:14  iter: 28799  total_loss: 0.2455  loss_cls: 0.02477  loss_box_reg: 0.05924  loss_mask: 0.137  loss_rpn_cls: 0.004015  loss_rpn_loc: 0.02012  time: 0.3250  data_time: 0.1140  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:00:35 d2.utils.events]: \u001b[0m eta: 1:00:06  iter: 28819  total_loss: 0.2096  loss_cls: 0.02023  loss_box_reg: 0.03532  loss_mask: 0.1247  loss_rpn_cls: 0.003233  loss_rpn_loc: 0.02179  time: 0.3250  data_time: 0.1142  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:00:42 d2.utils.events]: \u001b[0m eta: 1:00:00  iter: 28839  total_loss: 0.2445  loss_cls: 0.02358  loss_box_reg: 0.04135  loss_mask: 0.1418  loss_rpn_cls: 0.002613  loss_rpn_loc: 0.02835  time: 0.3250  data_time: 0.1132  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:00:48 d2.utils.events]: \u001b[0m eta: 0:59:55  iter: 28859  total_loss: 0.2625  loss_cls: 0.02417  loss_box_reg: 0.05473  loss_mask: 0.1372  loss_rpn_cls: 0.001313  loss_rpn_loc: 0.01407  time: 0.3250  data_time: 0.1150  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:00:55 d2.utils.events]: \u001b[0m eta: 0:59:49  iter: 28879  total_loss: 0.196  loss_cls: 0.02055  loss_box_reg: 0.0464  loss_mask: 0.1053  loss_rpn_cls: 0.001127  loss_rpn_loc: 0.0109  time: 0.3250  data_time: 0.1135  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:01:01 d2.utils.events]: \u001b[0m eta: 0:59:41  iter: 28899  total_loss: 0.2288  loss_cls: 0.0247  loss_box_reg: 0.06142  loss_mask: 0.1294  loss_rpn_cls: 0.001529  loss_rpn_loc: 0.02036  time: 0.3250  data_time: 0.1140  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:01:08 d2.utils.events]: \u001b[0m eta: 0:59:36  iter: 28919  total_loss: 0.1801  loss_cls: 0.02158  loss_box_reg: 0.03788  loss_mask: 0.1147  loss_rpn_cls: 0.001385  loss_rpn_loc: 0.01723  time: 0.3250  data_time: 0.1142  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:01:14 d2.utils.events]: \u001b[0m eta: 0:59:28  iter: 28939  total_loss: 0.1853  loss_cls: 0.01496  loss_box_reg: 0.03671  loss_mask: 0.1161  loss_rpn_cls: 0.001817  loss_rpn_loc: 0.01708  time: 0.3250  data_time: 0.1136  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:01:20 d2.utils.events]: \u001b[0m eta: 0:59:23  iter: 28959  total_loss: 0.2495  loss_cls: 0.02032  loss_box_reg: 0.05019  loss_mask: 0.1411  loss_rpn_cls: 0.001925  loss_rpn_loc: 0.02376  time: 0.3250  data_time: 0.1145  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:01:27 d2.utils.events]: \u001b[0m eta: 0:59:16  iter: 28979  total_loss: 0.21  loss_cls: 0.01925  loss_box_reg: 0.04371  loss_mask: 0.1143  loss_rpn_cls: 0.001933  loss_rpn_loc: 0.01765  time: 0.3250  data_time: 0.1150  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:01:33 d2.utils.events]: \u001b[0m eta: 0:59:11  iter: 28999  total_loss: 0.2326  loss_cls: 0.01958  loss_box_reg: 0.04418  loss_mask: 0.1304  loss_rpn_cls: 0.001439  loss_rpn_loc: 0.02594  time: 0.3250  data_time: 0.1150  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:01:39 d2.utils.events]: \u001b[0m eta: 0:59:03  iter: 29019  total_loss: 0.2191  loss_cls: 0.01805  loss_box_reg: 0.0388  loss_mask: 0.1338  loss_rpn_cls: 0.001418  loss_rpn_loc: 0.02009  time: 0.3250  data_time: 0.1137  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:01:46 d2.utils.events]: \u001b[0m eta: 0:58:57  iter: 29039  total_loss: 0.2308  loss_cls: 0.02605  loss_box_reg: 0.04489  loss_mask: 0.128  loss_rpn_cls: 0.002659  loss_rpn_loc: 0.02327  time: 0.3250  data_time: 0.1131  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:01:52 d2.utils.events]: \u001b[0m eta: 0:58:51  iter: 29059  total_loss: 0.2063  loss_cls: 0.01798  loss_box_reg: 0.04116  loss_mask: 0.1223  loss_rpn_cls: 0.002252  loss_rpn_loc: 0.01544  time: 0.3250  data_time: 0.1130  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:01:59 d2.utils.events]: \u001b[0m eta: 0:58:43  iter: 29079  total_loss: 0.2333  loss_cls: 0.01843  loss_box_reg: 0.03759  loss_mask: 0.1331  loss_rpn_cls: 0.003902  loss_rpn_loc: 0.02359  time: 0.3249  data_time: 0.1137  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:02:05 d2.utils.events]: \u001b[0m eta: 0:58:38  iter: 29099  total_loss: 0.2295  loss_cls: 0.02046  loss_box_reg: 0.04768  loss_mask: 0.1219  loss_rpn_cls: 0.001271  loss_rpn_loc: 0.02083  time: 0.3249  data_time: 0.1146  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:02:12 d2.utils.events]: \u001b[0m eta: 0:58:32  iter: 29119  total_loss: 0.2273  loss_cls: 0.02209  loss_box_reg: 0.04456  loss_mask: 0.1242  loss_rpn_cls: 0.0009631  loss_rpn_loc: 0.01159  time: 0.3249  data_time: 0.1137  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:02:18 d2.utils.events]: \u001b[0m eta: 0:58:25  iter: 29139  total_loss: 0.2218  loss_cls: 0.02109  loss_box_reg: 0.04611  loss_mask: 0.1275  loss_rpn_cls: 0.001495  loss_rpn_loc: 0.02482  time: 0.3249  data_time: 0.1136  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:02:25 d2.utils.events]: \u001b[0m eta: 0:58:19  iter: 29159  total_loss: 0.2314  loss_cls: 0.01614  loss_box_reg: 0.04263  loss_mask: 0.1299  loss_rpn_cls: 0.001514  loss_rpn_loc: 0.01941  time: 0.3249  data_time: 0.1148  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:02:31 d2.utils.events]: \u001b[0m eta: 0:58:12  iter: 29179  total_loss: 0.2098  loss_cls: 0.01721  loss_box_reg: 0.04051  loss_mask: 0.1261  loss_rpn_cls: 0.001248  loss_rpn_loc: 0.02077  time: 0.3249  data_time: 0.1132  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:02:37 d2.utils.events]: \u001b[0m eta: 0:58:07  iter: 29199  total_loss: 0.2757  loss_cls: 0.02706  loss_box_reg: 0.05882  loss_mask: 0.1369  loss_rpn_cls: 0.002552  loss_rpn_loc: 0.02471  time: 0.3249  data_time: 0.1148  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:02:44 d2.utils.events]: \u001b[0m eta: 0:58:02  iter: 29219  total_loss: 0.2229  loss_cls: 0.01877  loss_box_reg: 0.03906  loss_mask: 0.134  loss_rpn_cls: 0.003101  loss_rpn_loc: 0.02098  time: 0.3249  data_time: 0.1157  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:02:50 d2.utils.events]: \u001b[0m eta: 0:57:56  iter: 29239  total_loss: 0.1777  loss_cls: 0.01838  loss_box_reg: 0.03301  loss_mask: 0.1097  loss_rpn_cls: 0.0009323  loss_rpn_loc: 0.01264  time: 0.3249  data_time: 0.1148  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:02:57 d2.utils.events]: \u001b[0m eta: 0:57:52  iter: 29259  total_loss: 0.2098  loss_cls: 0.01613  loss_box_reg: 0.03571  loss_mask: 0.1171  loss_rpn_cls: 0.001372  loss_rpn_loc: 0.01675  time: 0.3249  data_time: 0.1146  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:03:03 d2.utils.events]: \u001b[0m eta: 0:57:45  iter: 29279  total_loss: 0.2119  loss_cls: 0.01814  loss_box_reg: 0.0429  loss_mask: 0.1261  loss_rpn_cls: 0.001437  loss_rpn_loc: 0.01798  time: 0.3249  data_time: 0.1148  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:03:10 d2.utils.events]: \u001b[0m eta: 0:57:39  iter: 29299  total_loss: 0.2186  loss_cls: 0.02059  loss_box_reg: 0.04412  loss_mask: 0.1347  loss_rpn_cls: 0.00246  loss_rpn_loc: 0.02123  time: 0.3249  data_time: 0.1156  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:03:16 d2.utils.events]: \u001b[0m eta: 0:57:34  iter: 29319  total_loss: 0.2519  loss_cls: 0.02433  loss_box_reg: 0.04644  loss_mask: 0.1434  loss_rpn_cls: 0.001481  loss_rpn_loc: 0.0217  time: 0.3249  data_time: 0.1175  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:03:23 d2.utils.events]: \u001b[0m eta: 0:57:25  iter: 29339  total_loss: 0.2297  loss_cls: 0.01911  loss_box_reg: 0.04554  loss_mask: 0.1252  loss_rpn_cls: 0.001588  loss_rpn_loc: 0.02214  time: 0.3249  data_time: 0.1142  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:03:29 d2.utils.events]: \u001b[0m eta: 0:57:18  iter: 29359  total_loss: 0.2218  loss_cls: 0.02215  loss_box_reg: 0.05207  loss_mask: 0.1323  loss_rpn_cls: 0.001586  loss_rpn_loc: 0.01755  time: 0.3249  data_time: 0.1138  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:03:35 d2.utils.events]: \u001b[0m eta: 0:57:11  iter: 29379  total_loss: 0.2229  loss_cls: 0.0217  loss_box_reg: 0.04594  loss_mask: 0.1372  loss_rpn_cls: 0.001575  loss_rpn_loc: 0.02563  time: 0.3249  data_time: 0.1133  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:03:42 d2.utils.events]: \u001b[0m eta: 0:57:04  iter: 29399  total_loss: 0.2419  loss_cls: 0.02013  loss_box_reg: 0.04822  loss_mask: 0.1432  loss_rpn_cls: 0.002035  loss_rpn_loc: 0.02173  time: 0.3249  data_time: 0.1135  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:03:48 d2.utils.events]: \u001b[0m eta: 0:56:58  iter: 29419  total_loss: 0.168  loss_cls: 0.01394  loss_box_reg: 0.03757  loss_mask: 0.09216  loss_rpn_cls: 0.0008345  loss_rpn_loc: 0.0126  time: 0.3249  data_time: 0.1137  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:03:55 d2.utils.events]: \u001b[0m eta: 0:56:54  iter: 29439  total_loss: 0.24  loss_cls: 0.02104  loss_box_reg: 0.04736  loss_mask: 0.1432  loss_rpn_cls: 0.001478  loss_rpn_loc: 0.02475  time: 0.3249  data_time: 0.1133  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:04:01 d2.utils.events]: \u001b[0m eta: 0:56:51  iter: 29459  total_loss: 0.1896  loss_cls: 0.02102  loss_box_reg: 0.04087  loss_mask: 0.1091  loss_rpn_cls: 0.00139  loss_rpn_loc: 0.01335  time: 0.3249  data_time: 0.1142  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:04:08 d2.utils.events]: \u001b[0m eta: 0:56:41  iter: 29479  total_loss: 0.2019  loss_cls: 0.01618  loss_box_reg: 0.03802  loss_mask: 0.1255  loss_rpn_cls: 0.001399  loss_rpn_loc: 0.01901  time: 0.3249  data_time: 0.1133  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:04:14 d2.utils.events]: \u001b[0m eta: 0:56:36  iter: 29499  total_loss: 0.2571  loss_cls: 0.01991  loss_box_reg: 0.05255  loss_mask: 0.1356  loss_rpn_cls: 0.001936  loss_rpn_loc: 0.02192  time: 0.3249  data_time: 0.1144  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:04:20 d2.utils.events]: \u001b[0m eta: 0:56:26  iter: 29519  total_loss: 0.2391  loss_cls: 0.01523  loss_box_reg: 0.03946  loss_mask: 0.1335  loss_rpn_cls: 0.002453  loss_rpn_loc: 0.02217  time: 0.3249  data_time: 0.1138  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:04:27 d2.utils.events]: \u001b[0m eta: 0:56:19  iter: 29539  total_loss: 0.2031  loss_cls: 0.02057  loss_box_reg: 0.03935  loss_mask: 0.124  loss_rpn_cls: 0.004239  loss_rpn_loc: 0.01857  time: 0.3249  data_time: 0.1141  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:04:33 d2.utils.events]: \u001b[0m eta: 0:56:13  iter: 29559  total_loss: 0.2562  loss_cls: 0.02463  loss_box_reg: 0.05018  loss_mask: 0.133  loss_rpn_cls: 0.001753  loss_rpn_loc: 0.02079  time: 0.3249  data_time: 0.1147  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:04:40 d2.utils.events]: \u001b[0m eta: 0:56:08  iter: 29579  total_loss: 0.2355  loss_cls: 0.02004  loss_box_reg: 0.0394  loss_mask: 0.1393  loss_rpn_cls: 0.00221  loss_rpn_loc: 0.02368  time: 0.3249  data_time: 0.1141  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:04:46 d2.utils.events]: \u001b[0m eta: 0:56:02  iter: 29599  total_loss: 0.2255  loss_cls: 0.0195  loss_box_reg: 0.03788  loss_mask: 0.1308  loss_rpn_cls: 0.0007859  loss_rpn_loc: 0.01902  time: 0.3249  data_time: 0.1137  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:04:52 d2.utils.events]: \u001b[0m eta: 0:55:57  iter: 29619  total_loss: 0.2105  loss_cls: 0.02515  loss_box_reg: 0.05287  loss_mask: 0.1206  loss_rpn_cls: 0.0009349  loss_rpn_loc: 0.01554  time: 0.3249  data_time: 0.1147  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:04:59 d2.utils.events]: \u001b[0m eta: 0:55:51  iter: 29639  total_loss: 0.2134  loss_cls: 0.01588  loss_box_reg: 0.037  loss_mask: 0.1244  loss_rpn_cls: 0.001944  loss_rpn_loc: 0.02617  time: 0.3249  data_time: 0.1137  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:05:05 d2.utils.events]: \u001b[0m eta: 0:55:44  iter: 29659  total_loss: 0.2108  loss_cls: 0.02088  loss_box_reg: 0.04272  loss_mask: 0.1308  loss_rpn_cls: 0.002241  loss_rpn_loc: 0.01827  time: 0.3249  data_time: 0.1152  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:05:12 d2.utils.events]: \u001b[0m eta: 0:55:36  iter: 29679  total_loss: 0.2512  loss_cls: 0.02222  loss_box_reg: 0.04746  loss_mask: 0.1405  loss_rpn_cls: 0.002908  loss_rpn_loc: 0.02903  time: 0.3249  data_time: 0.1133  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:05:18 d2.utils.events]: \u001b[0m eta: 0:55:29  iter: 29699  total_loss: 0.2012  loss_cls: 0.01904  loss_box_reg: 0.04614  loss_mask: 0.1156  loss_rpn_cls: 0.002534  loss_rpn_loc: 0.01666  time: 0.3249  data_time: 0.1143  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:05:25 d2.utils.events]: \u001b[0m eta: 0:55:21  iter: 29719  total_loss: 0.2056  loss_cls: 0.02187  loss_box_reg: 0.04347  loss_mask: 0.1081  loss_rpn_cls: 0.001279  loss_rpn_loc: 0.01811  time: 0.3249  data_time: 0.1134  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:05:31 d2.utils.events]: \u001b[0m eta: 0:55:17  iter: 29739  total_loss: 0.2163  loss_cls: 0.01894  loss_box_reg: 0.04186  loss_mask: 0.1353  loss_rpn_cls: 0.001395  loss_rpn_loc: 0.0174  time: 0.3249  data_time: 0.1145  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:05:38 d2.utils.events]: \u001b[0m eta: 0:55:10  iter: 29759  total_loss: 0.2119  loss_cls: 0.0208  loss_box_reg: 0.04147  loss_mask: 0.1151  loss_rpn_cls: 0.001861  loss_rpn_loc: 0.01696  time: 0.3249  data_time: 0.1143  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:05:44 d2.utils.events]: \u001b[0m eta: 0:55:02  iter: 29779  total_loss: 0.2458  loss_cls: 0.01815  loss_box_reg: 0.04935  loss_mask: 0.1312  loss_rpn_cls: 0.001322  loss_rpn_loc: 0.01823  time: 0.3249  data_time: 0.1146  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:05:50 d2.utils.events]: \u001b[0m eta: 0:54:54  iter: 29799  total_loss: 0.2017  loss_cls: 0.01881  loss_box_reg: 0.03792  loss_mask: 0.1249  loss_rpn_cls: 0.003329  loss_rpn_loc: 0.01841  time: 0.3249  data_time: 0.1138  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:05:57 d2.utils.events]: \u001b[0m eta: 0:54:52  iter: 29819  total_loss: 0.2127  loss_cls: 0.02672  loss_box_reg: 0.05694  loss_mask: 0.1169  loss_rpn_cls: 0.003332  loss_rpn_loc: 0.02218  time: 0.3249  data_time: 0.1134  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:06:03 d2.utils.events]: \u001b[0m eta: 0:54:46  iter: 29839  total_loss: 0.2109  loss_cls: 0.01708  loss_box_reg: 0.04685  loss_mask: 0.1223  loss_rpn_cls: 0.003364  loss_rpn_loc: 0.02137  time: 0.3249  data_time: 0.1142  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:06:10 d2.utils.events]: \u001b[0m eta: 0:54:38  iter: 29859  total_loss: 0.2097  loss_cls: 0.01955  loss_box_reg: 0.0425  loss_mask: 0.1237  loss_rpn_cls: 0.0007462  loss_rpn_loc: 0.01966  time: 0.3249  data_time: 0.1139  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:06:16 d2.utils.events]: \u001b[0m eta: 0:54:31  iter: 29879  total_loss: 0.2086  loss_cls: 0.01897  loss_box_reg: 0.04229  loss_mask: 0.1347  loss_rpn_cls: 0.002399  loss_rpn_loc: 0.01981  time: 0.3249  data_time: 0.1148  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:06:23 d2.utils.events]: \u001b[0m eta: 0:54:25  iter: 29899  total_loss: 0.2291  loss_cls: 0.01905  loss_box_reg: 0.03943  loss_mask: 0.115  loss_rpn_cls: 0.001477  loss_rpn_loc: 0.02199  time: 0.3248  data_time: 0.1135  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:06:29 d2.utils.events]: \u001b[0m eta: 0:54:18  iter: 29919  total_loss: 0.2345  loss_cls: 0.02017  loss_box_reg: 0.05081  loss_mask: 0.1283  loss_rpn_cls: 0.001195  loss_rpn_loc: 0.01864  time: 0.3248  data_time: 0.1134  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:06:36 d2.utils.events]: \u001b[0m eta: 0:54:13  iter: 29939  total_loss: 0.2005  loss_cls: 0.02122  loss_box_reg: 0.03986  loss_mask: 0.1141  loss_rpn_cls: 0.001594  loss_rpn_loc: 0.01468  time: 0.3248  data_time: 0.1152  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:06:42 d2.utils.events]: \u001b[0m eta: 0:54:08  iter: 29959  total_loss: 0.195  loss_cls: 0.02029  loss_box_reg: 0.04513  loss_mask: 0.1171  loss_rpn_cls: 0.001891  loss_rpn_loc: 0.01993  time: 0.3248  data_time: 0.1145  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:06:48 d2.utils.events]: \u001b[0m eta: 0:54:06  iter: 29979  total_loss: 0.2012  loss_cls: 0.01718  loss_box_reg: 0.03931  loss_mask: 0.1173  loss_rpn_cls: 0.001312  loss_rpn_loc: 0.0192  time: 0.3248  data_time: 0.1146  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:06:55 d2.utils.events]: \u001b[0m eta: 0:53:59  iter: 29999  total_loss: 0.2137  loss_cls: 0.01953  loss_box_reg: 0.03475  loss_mask: 0.1167  loss_rpn_cls: 0.001882  loss_rpn_loc: 0.02241  time: 0.3248  data_time: 0.1127  lr: 0.00025  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:07:02 d2.utils.events]: \u001b[0m eta: 0:53:57  iter: 30019  total_loss: 0.2046  loss_cls: 0.02095  loss_box_reg: 0.04827  loss_mask: 0.117  loss_rpn_cls: 0.001617  loss_rpn_loc: 0.01451  time: 0.3248  data_time: 0.1152  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:07:09 d2.utils.events]: \u001b[0m eta: 0:53:50  iter: 30039  total_loss: 0.1962  loss_cls: 0.01726  loss_box_reg: 0.04077  loss_mask: 0.1048  loss_rpn_cls: 0.0005971  loss_rpn_loc: 0.01569  time: 0.3248  data_time: 0.1130  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:07:15 d2.utils.events]: \u001b[0m eta: 0:53:43  iter: 30059  total_loss: 0.1816  loss_cls: 0.01936  loss_box_reg: 0.03572  loss_mask: 0.1234  loss_rpn_cls: 0.001831  loss_rpn_loc: 0.02354  time: 0.3248  data_time: 0.1151  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:07:21 d2.utils.events]: \u001b[0m eta: 0:53:38  iter: 30079  total_loss: 0.1798  loss_cls: 0.02052  loss_box_reg: 0.04432  loss_mask: 0.1157  loss_rpn_cls: 0.002314  loss_rpn_loc: 0.01973  time: 0.3248  data_time: 0.1128  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:07:28 d2.utils.events]: \u001b[0m eta: 0:53:30  iter: 30099  total_loss: 0.1924  loss_cls: 0.01741  loss_box_reg: 0.04154  loss_mask: 0.1171  loss_rpn_cls: 0.001621  loss_rpn_loc: 0.01656  time: 0.3248  data_time: 0.1132  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:07:34 d2.utils.events]: \u001b[0m eta: 0:53:21  iter: 30119  total_loss: 0.1821  loss_cls: 0.01638  loss_box_reg: 0.03675  loss_mask: 0.1163  loss_rpn_cls: 0.001796  loss_rpn_loc: 0.01567  time: 0.3248  data_time: 0.1149  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:07:41 d2.utils.events]: \u001b[0m eta: 0:53:14  iter: 30139  total_loss: 0.205  loss_cls: 0.01885  loss_box_reg: 0.04101  loss_mask: 0.1179  loss_rpn_cls: 0.001811  loss_rpn_loc: 0.02074  time: 0.3248  data_time: 0.1142  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:07:47 d2.utils.events]: \u001b[0m eta: 0:53:07  iter: 30159  total_loss: 0.215  loss_cls: 0.02036  loss_box_reg: 0.04343  loss_mask: 0.1216  loss_rpn_cls: 0.001874  loss_rpn_loc: 0.01688  time: 0.3248  data_time: 0.1138  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:07:53 d2.utils.events]: \u001b[0m eta: 0:53:01  iter: 30179  total_loss: 0.2041  loss_cls: 0.0157  loss_box_reg: 0.03659  loss_mask: 0.1273  loss_rpn_cls: 0.001145  loss_rpn_loc: 0.01867  time: 0.3248  data_time: 0.1155  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:08:00 d2.utils.events]: \u001b[0m eta: 0:52:55  iter: 30199  total_loss: 0.2501  loss_cls: 0.03129  loss_box_reg: 0.05641  loss_mask: 0.1196  loss_rpn_cls: 0.002451  loss_rpn_loc: 0.0209  time: 0.3248  data_time: 0.1142  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:08:06 d2.utils.events]: \u001b[0m eta: 0:52:48  iter: 30219  total_loss: 0.1959  loss_cls: 0.02029  loss_box_reg: 0.03862  loss_mask: 0.1106  loss_rpn_cls: 0.001274  loss_rpn_loc: 0.02228  time: 0.3248  data_time: 0.1146  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:08:13 d2.utils.events]: \u001b[0m eta: 0:52:42  iter: 30239  total_loss: 0.1761  loss_cls: 0.01708  loss_box_reg: 0.03517  loss_mask: 0.1067  loss_rpn_cls: 0.001621  loss_rpn_loc: 0.01309  time: 0.3248  data_time: 0.1142  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:08:19 d2.utils.events]: \u001b[0m eta: 0:52:30  iter: 30259  total_loss: 0.172  loss_cls: 0.01843  loss_box_reg: 0.03808  loss_mask: 0.1044  loss_rpn_cls: 0.002093  loss_rpn_loc: 0.01607  time: 0.3248  data_time: 0.1147  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:08:26 d2.utils.events]: \u001b[0m eta: 0:52:21  iter: 30279  total_loss: 0.2077  loss_cls: 0.01762  loss_box_reg: 0.04199  loss_mask: 0.1262  loss_rpn_cls: 0.00137  loss_rpn_loc: 0.02052  time: 0.3248  data_time: 0.1148  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:08:32 d2.utils.events]: \u001b[0m eta: 0:52:17  iter: 30299  total_loss: 0.2246  loss_cls: 0.02088  loss_box_reg: 0.05023  loss_mask: 0.1327  loss_rpn_cls: 0.003203  loss_rpn_loc: 0.02018  time: 0.3248  data_time: 0.1147  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:08:39 d2.utils.events]: \u001b[0m eta: 0:52:09  iter: 30319  total_loss: 0.2212  loss_cls: 0.01933  loss_box_reg: 0.04447  loss_mask: 0.1235  loss_rpn_cls: 0.001175  loss_rpn_loc: 0.01893  time: 0.3248  data_time: 0.1149  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:08:45 d2.utils.events]: \u001b[0m eta: 0:52:03  iter: 30339  total_loss: 0.2052  loss_cls: 0.01768  loss_box_reg: 0.03578  loss_mask: 0.1253  loss_rpn_cls: 0.001376  loss_rpn_loc: 0.01933  time: 0.3248  data_time: 0.1147  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:08:51 d2.utils.events]: \u001b[0m eta: 0:51:53  iter: 30359  total_loss: 0.2224  loss_cls: 0.02556  loss_box_reg: 0.04996  loss_mask: 0.1213  loss_rpn_cls: 0.003334  loss_rpn_loc: 0.01787  time: 0.3248  data_time: 0.1158  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:08:58 d2.utils.events]: \u001b[0m eta: 0:51:47  iter: 30379  total_loss: 0.192  loss_cls: 0.01905  loss_box_reg: 0.0369  loss_mask: 0.1147  loss_rpn_cls: 0.001046  loss_rpn_loc: 0.0118  time: 0.3248  data_time: 0.1143  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:24:09 d2.utils.events]: \u001b[0m eta: 0:51:44  iter: 30399  total_loss: 0.2391  loss_cls: 0.0211  loss_box_reg: 0.03927  loss_mask: 0.1321  loss_rpn_cls: 0.002951  loss_rpn_loc: 0.0198  time: 0.3546  data_time: 0.1195  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:24:15 d2.utils.events]: \u001b[0m eta: 0:51:39  iter: 30419  total_loss: 0.2173  loss_cls: 0.01848  loss_box_reg: 0.04529  loss_mask: 0.1181  loss_rpn_cls: 0.001656  loss_rpn_loc: 0.02093  time: 0.3545  data_time: 0.1148  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:24:22 d2.utils.events]: \u001b[0m eta: 0:51:33  iter: 30439  total_loss: 0.2094  loss_cls: 0.0144  loss_box_reg: 0.02868  loss_mask: 0.1169  loss_rpn_cls: 0.001044  loss_rpn_loc: 0.01982  time: 0.3545  data_time: 0.1135  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:24:29 d2.utils.events]: \u001b[0m eta: 0:51:25  iter: 30459  total_loss: 0.1769  loss_cls: 0.01586  loss_box_reg: 0.02778  loss_mask: 0.1146  loss_rpn_cls: 0.006861  loss_rpn_loc: 0.01489  time: 0.3545  data_time: 0.1123  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:24:35 d2.utils.events]: \u001b[0m eta: 0:51:22  iter: 30479  total_loss: 0.23  loss_cls: 0.02084  loss_box_reg: 0.0491  loss_mask: 0.1337  loss_rpn_cls: 0.0008746  loss_rpn_loc: 0.02274  time: 0.3545  data_time: 0.1109  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:24:42 d2.utils.events]: \u001b[0m eta: 0:51:16  iter: 30499  total_loss: 0.1861  loss_cls: 0.0215  loss_box_reg: 0.03823  loss_mask: 0.1196  loss_rpn_cls: 0.0007522  loss_rpn_loc: 0.01674  time: 0.3545  data_time: 0.1131  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:24:48 d2.utils.events]: \u001b[0m eta: 0:51:08  iter: 30519  total_loss: 0.1777  loss_cls: 0.01288  loss_box_reg: 0.03249  loss_mask: 0.1126  loss_rpn_cls: 0.001135  loss_rpn_loc: 0.01513  time: 0.3544  data_time: 0.1109  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:24:54 d2.utils.events]: \u001b[0m eta: 0:51:02  iter: 30539  total_loss: 0.1682  loss_cls: 0.01888  loss_box_reg: 0.03555  loss_mask: 0.1119  loss_rpn_cls: 0.001711  loss_rpn_loc: 0.01261  time: 0.3544  data_time: 0.1116  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:25:01 d2.utils.events]: \u001b[0m eta: 0:50:54  iter: 30559  total_loss: 0.23  loss_cls: 0.02072  loss_box_reg: 0.04167  loss_mask: 0.14  loss_rpn_cls: 0.002056  loss_rpn_loc: 0.01629  time: 0.3544  data_time: 0.1107  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:25:07 d2.utils.events]: \u001b[0m eta: 0:50:46  iter: 30579  total_loss: 0.1868  loss_cls: 0.01686  loss_box_reg: 0.03393  loss_mask: 0.1206  loss_rpn_cls: 0.001353  loss_rpn_loc: 0.01742  time: 0.3544  data_time: 0.1119  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:25:13 d2.utils.events]: \u001b[0m eta: 0:50:38  iter: 30599  total_loss: 0.181  loss_cls: 0.01868  loss_box_reg: 0.04157  loss_mask: 0.1126  loss_rpn_cls: 0.003176  loss_rpn_loc: 0.01804  time: 0.3543  data_time: 0.1119  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:25:20 d2.utils.events]: \u001b[0m eta: 0:50:33  iter: 30619  total_loss: 0.2483  loss_cls: 0.02411  loss_box_reg: 0.05508  loss_mask: 0.1312  loss_rpn_cls: 0.002063  loss_rpn_loc: 0.02198  time: 0.3543  data_time: 0.1121  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:25:26 d2.utils.events]: \u001b[0m eta: 0:50:25  iter: 30639  total_loss: 0.1883  loss_cls: 0.01974  loss_box_reg: 0.03838  loss_mask: 0.1163  loss_rpn_cls: 0.002118  loss_rpn_loc: 0.01598  time: 0.3543  data_time: 0.1119  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:25:33 d2.utils.events]: \u001b[0m eta: 0:50:21  iter: 30659  total_loss: 0.1879  loss_cls: 0.01878  loss_box_reg: 0.03555  loss_mask: 0.1119  loss_rpn_cls: 0.001048  loss_rpn_loc: 0.01553  time: 0.3543  data_time: 0.1123  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:25:39 d2.utils.events]: \u001b[0m eta: 0:50:14  iter: 30679  total_loss: 0.233  loss_cls: 0.01719  loss_box_reg: 0.04021  loss_mask: 0.1398  loss_rpn_cls: 0.002109  loss_rpn_loc: 0.021  time: 0.3543  data_time: 0.1108  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:25:45 d2.utils.events]: \u001b[0m eta: 0:50:07  iter: 30699  total_loss: 0.1708  loss_cls: 0.01623  loss_box_reg: 0.0339  loss_mask: 0.105  loss_rpn_cls: 0.001776  loss_rpn_loc: 0.01999  time: 0.3542  data_time: 0.1123  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:25:52 d2.utils.events]: \u001b[0m eta: 0:50:01  iter: 30719  total_loss: 0.2281  loss_cls: 0.02148  loss_box_reg: 0.04049  loss_mask: 0.1218  loss_rpn_cls: 0.003507  loss_rpn_loc: 0.01673  time: 0.3542  data_time: 0.1140  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:25:58 d2.utils.events]: \u001b[0m eta: 0:49:55  iter: 30739  total_loss: 0.2073  loss_cls: 0.0175  loss_box_reg: 0.03369  loss_mask: 0.1203  loss_rpn_cls: 0.001784  loss_rpn_loc: 0.01688  time: 0.3542  data_time: 0.1123  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:26:05 d2.utils.events]: \u001b[0m eta: 0:49:47  iter: 30759  total_loss: 0.2437  loss_cls: 0.02513  loss_box_reg: 0.05423  loss_mask: 0.1305  loss_rpn_cls: 0.001979  loss_rpn_loc: 0.02325  time: 0.3542  data_time: 0.1119  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:26:11 d2.utils.events]: \u001b[0m eta: 0:49:40  iter: 30779  total_loss: 0.1824  loss_cls: 0.01589  loss_box_reg: 0.0356  loss_mask: 0.1089  loss_rpn_cls: 0.003102  loss_rpn_loc: 0.0178  time: 0.3541  data_time: 0.1126  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:26:18 d2.utils.events]: \u001b[0m eta: 0:49:35  iter: 30799  total_loss: 0.1723  loss_cls: 0.02142  loss_box_reg: 0.03684  loss_mask: 0.1055  loss_rpn_cls: 0.000533  loss_rpn_loc: 0.0133  time: 0.3541  data_time: 0.1122  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:26:24 d2.utils.events]: \u001b[0m eta: 0:49:26  iter: 30819  total_loss: 0.1677  loss_cls: 0.01485  loss_box_reg: 0.03569  loss_mask: 0.1045  loss_rpn_cls: 0.0008056  loss_rpn_loc: 0.01343  time: 0.3541  data_time: 0.1121  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:26:30 d2.utils.events]: \u001b[0m eta: 0:49:18  iter: 30839  total_loss: 0.1754  loss_cls: 0.01723  loss_box_reg: 0.0334  loss_mask: 0.1015  loss_rpn_cls: 0.001953  loss_rpn_loc: 0.008199  time: 0.3541  data_time: 0.1126  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:26:37 d2.utils.events]: \u001b[0m eta: 0:49:10  iter: 30859  total_loss: 0.2271  loss_cls: 0.02127  loss_box_reg: 0.04977  loss_mask: 0.1278  loss_rpn_cls: 0.001252  loss_rpn_loc: 0.02117  time: 0.3541  data_time: 0.1108  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:26:43 d2.utils.events]: \u001b[0m eta: 0:49:03  iter: 30879  total_loss: 0.2106  loss_cls: 0.02091  loss_box_reg: 0.04329  loss_mask: 0.1319  loss_rpn_cls: 0.001335  loss_rpn_loc: 0.02253  time: 0.3540  data_time: 0.1138  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:26:50 d2.utils.events]: \u001b[0m eta: 0:48:58  iter: 30899  total_loss: 0.2049  loss_cls: 0.02337  loss_box_reg: 0.04147  loss_mask: 0.1275  loss_rpn_cls: 0.001145  loss_rpn_loc: 0.01662  time: 0.3540  data_time: 0.1125  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:26:56 d2.utils.events]: \u001b[0m eta: 0:48:53  iter: 30919  total_loss: 0.1633  loss_cls: 0.01547  loss_box_reg: 0.02732  loss_mask: 0.1097  loss_rpn_cls: 0.000896  loss_rpn_loc: 0.0159  time: 0.3540  data_time: 0.1134  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:27:02 d2.utils.events]: \u001b[0m eta: 0:48:44  iter: 30939  total_loss: 0.1859  loss_cls: 0.01739  loss_box_reg: 0.03344  loss_mask: 0.11  loss_rpn_cls: 0.001812  loss_rpn_loc: 0.01927  time: 0.3540  data_time: 0.1121  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:27:09 d2.utils.events]: \u001b[0m eta: 0:48:36  iter: 30959  total_loss: 0.1919  loss_cls: 0.01872  loss_box_reg: 0.03246  loss_mask: 0.1161  loss_rpn_cls: 0.0008889  loss_rpn_loc: 0.01628  time: 0.3539  data_time: 0.1139  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:27:15 d2.utils.events]: \u001b[0m eta: 0:48:29  iter: 30979  total_loss: 0.1685  loss_cls: 0.01504  loss_box_reg: 0.03735  loss_mask: 0.09629  loss_rpn_cls: 0.001467  loss_rpn_loc: 0.01719  time: 0.3539  data_time: 0.1134  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:27:22 d2.utils.events]: \u001b[0m eta: 0:48:21  iter: 30999  total_loss: 0.2203  loss_cls: 0.0205  loss_box_reg: 0.04157  loss_mask: 0.1373  loss_rpn_cls: 0.003444  loss_rpn_loc: 0.02137  time: 0.3539  data_time: 0.1121  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:27:28 d2.utils.events]: \u001b[0m eta: 0:48:14  iter: 31019  total_loss: 0.1734  loss_cls: 0.01975  loss_box_reg: 0.04279  loss_mask: 0.1017  loss_rpn_cls: 0.000804  loss_rpn_loc: 0.01629  time: 0.3539  data_time: 0.1130  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:27:35 d2.utils.events]: \u001b[0m eta: 0:48:07  iter: 31039  total_loss: 0.1927  loss_cls: 0.01645  loss_box_reg: 0.03675  loss_mask: 0.118  loss_rpn_cls: 0.001622  loss_rpn_loc: 0.0173  time: 0.3539  data_time: 0.1139  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:27:41 d2.utils.events]: \u001b[0m eta: 0:48:01  iter: 31059  total_loss: 0.2162  loss_cls: 0.01968  loss_box_reg: 0.0423  loss_mask: 0.1317  loss_rpn_cls: 0.001836  loss_rpn_loc: 0.02339  time: 0.3538  data_time: 0.1138  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:27:47 d2.utils.events]: \u001b[0m eta: 0:47:54  iter: 31079  total_loss: 0.1749  loss_cls: 0.01659  loss_box_reg: 0.0294  loss_mask: 0.1115  loss_rpn_cls: 0.0009507  loss_rpn_loc: 0.01243  time: 0.3538  data_time: 0.1107  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:27:54 d2.utils.events]: \u001b[0m eta: 0:47:48  iter: 31099  total_loss: 0.2216  loss_cls: 0.02086  loss_box_reg: 0.0487  loss_mask: 0.1214  loss_rpn_cls: 0.001753  loss_rpn_loc: 0.02449  time: 0.3538  data_time: 0.1126  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:28:00 d2.utils.events]: \u001b[0m eta: 0:47:41  iter: 31119  total_loss: 0.169  loss_cls: 0.01598  loss_box_reg: 0.02699  loss_mask: 0.09982  loss_rpn_cls: 0.0007815  loss_rpn_loc: 0.01258  time: 0.3538  data_time: 0.1116  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:28:06 d2.utils.events]: \u001b[0m eta: 0:47:35  iter: 31139  total_loss: 0.2002  loss_cls: 0.0167  loss_box_reg: 0.03268  loss_mask: 0.1269  loss_rpn_cls: 0.00221  loss_rpn_loc: 0.0216  time: 0.3537  data_time: 0.1128  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:28:13 d2.utils.events]: \u001b[0m eta: 0:47:29  iter: 31159  total_loss: 0.2219  loss_cls: 0.02008  loss_box_reg: 0.04083  loss_mask: 0.1433  loss_rpn_cls: 0.002993  loss_rpn_loc: 0.01615  time: 0.3537  data_time: 0.1118  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:28:19 d2.utils.events]: \u001b[0m eta: 0:47:22  iter: 31179  total_loss: 0.1922  loss_cls: 0.01977  loss_box_reg: 0.03966  loss_mask: 0.1068  loss_rpn_cls: 0.001808  loss_rpn_loc: 0.01409  time: 0.3537  data_time: 0.1121  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:28:25 d2.utils.events]: \u001b[0m eta: 0:47:15  iter: 31199  total_loss: 0.1762  loss_cls: 0.01638  loss_box_reg: 0.03494  loss_mask: 0.1023  loss_rpn_cls: 0.001212  loss_rpn_loc: 0.01715  time: 0.3537  data_time: 0.1129  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:28:32 d2.utils.events]: \u001b[0m eta: 0:47:07  iter: 31219  total_loss: 0.1783  loss_cls: 0.01654  loss_box_reg: 0.03028  loss_mask: 0.1063  loss_rpn_cls: 0.001486  loss_rpn_loc: 0.0166  time: 0.3536  data_time: 0.1125  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:28:38 d2.utils.events]: \u001b[0m eta: 0:47:00  iter: 31239  total_loss: 0.2107  loss_cls: 0.01686  loss_box_reg: 0.04268  loss_mask: 0.117  loss_rpn_cls: 0.00103  loss_rpn_loc: 0.02123  time: 0.3536  data_time: 0.1124  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:28:45 d2.utils.events]: \u001b[0m eta: 0:46:55  iter: 31259  total_loss: 0.2492  loss_cls: 0.02139  loss_box_reg: 0.04241  loss_mask: 0.1398  loss_rpn_cls: 0.002576  loss_rpn_loc: 0.02205  time: 0.3536  data_time: 0.1137  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:28:51 d2.utils.events]: \u001b[0m eta: 0:46:49  iter: 31279  total_loss: 0.1988  loss_cls: 0.0214  loss_box_reg: 0.03968  loss_mask: 0.1171  loss_rpn_cls: 0.001397  loss_rpn_loc: 0.02069  time: 0.3536  data_time: 0.1129  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:28:58 d2.utils.events]: \u001b[0m eta: 0:46:43  iter: 31299  total_loss: 0.2495  loss_cls: 0.02817  loss_box_reg: 0.04543  loss_mask: 0.1379  loss_rpn_cls: 0.003485  loss_rpn_loc: 0.02008  time: 0.3536  data_time: 0.1122  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:29:05 d2.utils.events]: \u001b[0m eta: 0:46:37  iter: 31319  total_loss: 0.1592  loss_cls: 0.01278  loss_box_reg: 0.0265  loss_mask: 0.1037  loss_rpn_cls: 0.001314  loss_rpn_loc: 0.01555  time: 0.3536  data_time: 0.1145  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:29:11 d2.utils.events]: \u001b[0m eta: 0:46:32  iter: 31339  total_loss: 0.211  loss_cls: 0.02109  loss_box_reg: 0.04227  loss_mask: 0.1236  loss_rpn_cls: 0.002233  loss_rpn_loc: 0.01778  time: 0.3536  data_time: 0.1168  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:29:18 d2.utils.events]: \u001b[0m eta: 0:46:30  iter: 31359  total_loss: 0.2308  loss_cls: 0.02228  loss_box_reg: 0.05099  loss_mask: 0.1303  loss_rpn_cls: 0.001264  loss_rpn_loc: 0.01837  time: 0.3535  data_time: 0.1129  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:29:24 d2.utils.events]: \u001b[0m eta: 0:46:22  iter: 31379  total_loss: 0.174  loss_cls: 0.02254  loss_box_reg: 0.03534  loss_mask: 0.09994  loss_rpn_cls: 0.001318  loss_rpn_loc: 0.0127  time: 0.3535  data_time: 0.1130  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:29:31 d2.utils.events]: \u001b[0m eta: 0:46:14  iter: 31399  total_loss: 0.1897  loss_cls: 0.01568  loss_box_reg: 0.03169  loss_mask: 0.1122  loss_rpn_cls: 0.001261  loss_rpn_loc: 0.02055  time: 0.3535  data_time: 0.1136  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:29:37 d2.utils.events]: \u001b[0m eta: 0:46:06  iter: 31419  total_loss: 0.1606  loss_cls: 0.01605  loss_box_reg: 0.03388  loss_mask: 0.1072  loss_rpn_cls: 0.002169  loss_rpn_loc: 0.01239  time: 0.3535  data_time: 0.1128  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:29:43 d2.utils.events]: \u001b[0m eta: 0:45:58  iter: 31439  total_loss: 0.2138  loss_cls: 0.02041  loss_box_reg: 0.03952  loss_mask: 0.121  loss_rpn_cls: 0.001105  loss_rpn_loc: 0.02216  time: 0.3534  data_time: 0.1133  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:29:50 d2.utils.events]: \u001b[0m eta: 0:45:49  iter: 31459  total_loss: 0.2062  loss_cls: 0.0205  loss_box_reg: 0.03974  loss_mask: 0.1146  loss_rpn_cls: 0.003234  loss_rpn_loc: 0.01908  time: 0.3534  data_time: 0.1135  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:29:57 d2.utils.events]: \u001b[0m eta: 0:45:42  iter: 31479  total_loss: 0.2045  loss_cls: 0.02349  loss_box_reg: 0.04538  loss_mask: 0.118  loss_rpn_cls: 0.001472  loss_rpn_loc: 0.01554  time: 0.3534  data_time: 0.1132  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:30:04 d2.utils.events]: \u001b[0m eta: 0:45:39  iter: 31499  total_loss: 0.2162  loss_cls: 0.01809  loss_box_reg: 0.04635  loss_mask: 0.1212  loss_rpn_cls: 0.002457  loss_rpn_loc: 0.02122  time: 0.3534  data_time: 0.1144  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:30:10 d2.utils.events]: \u001b[0m eta: 0:45:34  iter: 31519  total_loss: 0.197  loss_cls: 0.01935  loss_box_reg: 0.03828  loss_mask: 0.1239  loss_rpn_cls: 0.001279  loss_rpn_loc: 0.01702  time: 0.3534  data_time: 0.1132  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:30:17 d2.utils.events]: \u001b[0m eta: 0:45:30  iter: 31539  total_loss: 0.1891  loss_cls: 0.01516  loss_box_reg: 0.03492  loss_mask: 0.1175  loss_rpn_cls: 0.002639  loss_rpn_loc: 0.01581  time: 0.3534  data_time: 0.1141  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:30:24 d2.utils.events]: \u001b[0m eta: 0:45:26  iter: 31559  total_loss: 0.1966  loss_cls: 0.01738  loss_box_reg: 0.03512  loss_mask: 0.1236  loss_rpn_cls: 0.00151  loss_rpn_loc: 0.0154  time: 0.3534  data_time: 0.1135  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:30:31 d2.utils.events]: \u001b[0m eta: 0:45:23  iter: 31579  total_loss: 0.2439  loss_cls: 0.01916  loss_box_reg: 0.04407  loss_mask: 0.1376  loss_rpn_cls: 0.002648  loss_rpn_loc: 0.01651  time: 0.3534  data_time: 0.1126  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:30:37 d2.utils.events]: \u001b[0m eta: 0:45:20  iter: 31599  total_loss: 0.2132  loss_cls: 0.02089  loss_box_reg: 0.04731  loss_mask: 0.1124  loss_rpn_cls: 0.002075  loss_rpn_loc: 0.01808  time: 0.3534  data_time: 0.1131  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:30:44 d2.utils.events]: \u001b[0m eta: 0:45:14  iter: 31619  total_loss: 0.1932  loss_cls: 0.01963  loss_box_reg: 0.03684  loss_mask: 0.1087  loss_rpn_cls: 0.001324  loss_rpn_loc: 0.01939  time: 0.3534  data_time: 0.1139  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:30:51 d2.utils.events]: \u001b[0m eta: 0:45:11  iter: 31639  total_loss: 0.1956  loss_cls: 0.01867  loss_box_reg: 0.03399  loss_mask: 0.1219  loss_rpn_cls: 0.001687  loss_rpn_loc: 0.01668  time: 0.3533  data_time: 0.1144  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:30:58 d2.utils.events]: \u001b[0m eta: 0:45:07  iter: 31659  total_loss: 0.1868  loss_cls: 0.01926  loss_box_reg: 0.03862  loss_mask: 0.1136  loss_rpn_cls: 0.001021  loss_rpn_loc: 0.02026  time: 0.3533  data_time: 0.1149  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:31:05 d2.utils.events]: \u001b[0m eta: 0:45:06  iter: 31679  total_loss: 0.2295  loss_cls: 0.02354  loss_box_reg: 0.04416  loss_mask: 0.1287  loss_rpn_cls: 0.001921  loss_rpn_loc: 0.02486  time: 0.3533  data_time: 0.1130  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:31:12 d2.utils.events]: \u001b[0m eta: 0:45:01  iter: 31699  total_loss: 0.1652  loss_cls: 0.01542  loss_box_reg: 0.02973  loss_mask: 0.1045  loss_rpn_cls: 0.001641  loss_rpn_loc: 0.01514  time: 0.3533  data_time: 0.1127  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:31:18 d2.utils.events]: \u001b[0m eta: 0:44:56  iter: 31719  total_loss: 0.2041  loss_cls: 0.01566  loss_box_reg: 0.03379  loss_mask: 0.1176  loss_rpn_cls: 0.002082  loss_rpn_loc: 0.01771  time: 0.3533  data_time: 0.1129  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:31:25 d2.utils.events]: \u001b[0m eta: 0:44:49  iter: 31739  total_loss: 0.1934  loss_cls: 0.02104  loss_box_reg: 0.0352  loss_mask: 0.1129  loss_rpn_cls: 0.001123  loss_rpn_loc: 0.01844  time: 0.3533  data_time: 0.1131  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:31:31 d2.utils.events]: \u001b[0m eta: 0:44:44  iter: 31759  total_loss: 0.1865  loss_cls: 0.01848  loss_box_reg: 0.03978  loss_mask: 0.1198  loss_rpn_cls: 0.0009765  loss_rpn_loc: 0.01625  time: 0.3533  data_time: 0.1121  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:31:38 d2.utils.events]: \u001b[0m eta: 0:44:37  iter: 31779  total_loss: 0.1816  loss_cls: 0.01598  loss_box_reg: 0.03812  loss_mask: 0.1059  loss_rpn_cls: 0.0004418  loss_rpn_loc: 0.0125  time: 0.3533  data_time: 0.1129  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:31:44 d2.utils.events]: \u001b[0m eta: 0:44:30  iter: 31799  total_loss: 0.2036  loss_cls: 0.01912  loss_box_reg: 0.04141  loss_mask: 0.1173  loss_rpn_cls: 0.001701  loss_rpn_loc: 0.02074  time: 0.3532  data_time: 0.1141  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:31:51 d2.utils.events]: \u001b[0m eta: 0:44:25  iter: 31819  total_loss: 0.2244  loss_cls: 0.02248  loss_box_reg: 0.04891  loss_mask: 0.1176  loss_rpn_cls: 0.001297  loss_rpn_loc: 0.02338  time: 0.3532  data_time: 0.1212  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:31:58 d2.utils.events]: \u001b[0m eta: 0:44:22  iter: 31839  total_loss: 0.1678  loss_cls: 0.01401  loss_box_reg: 0.03883  loss_mask: 0.1052  loss_rpn_cls: 0.0006035  loss_rpn_loc: 0.01263  time: 0.3532  data_time: 0.1139  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:32:05 d2.utils.events]: \u001b[0m eta: 0:44:21  iter: 31859  total_loss: 0.1915  loss_cls: 0.0158  loss_box_reg: 0.03537  loss_mask: 0.1109  loss_rpn_cls: 0.0007281  loss_rpn_loc: 0.01546  time: 0.3532  data_time: 0.1143  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:32:12 d2.utils.events]: \u001b[0m eta: 0:44:18  iter: 31879  total_loss: 0.2235  loss_cls: 0.01945  loss_box_reg: 0.04315  loss_mask: 0.1267  loss_rpn_cls: 0.001948  loss_rpn_loc: 0.0227  time: 0.3532  data_time: 0.1137  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:32:19 d2.utils.events]: \u001b[0m eta: 0:44:13  iter: 31899  total_loss: 0.1793  loss_cls: 0.01353  loss_box_reg: 0.0315  loss_mask: 0.1125  loss_rpn_cls: 0.002461  loss_rpn_loc: 0.01658  time: 0.3532  data_time: 0.1136  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:32:25 d2.utils.events]: \u001b[0m eta: 0:44:05  iter: 31919  total_loss: 0.2265  loss_cls: 0.02762  loss_box_reg: 0.04647  loss_mask: 0.1335  loss_rpn_cls: 0.003047  loss_rpn_loc: 0.02107  time: 0.3532  data_time: 0.1119  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:32:31 d2.utils.events]: \u001b[0m eta: 0:44:03  iter: 31939  total_loss: 0.1672  loss_cls: 0.01421  loss_box_reg: 0.02904  loss_mask: 0.09699  loss_rpn_cls: 0.001841  loss_rpn_loc: 0.008217  time: 0.3532  data_time: 0.1127  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:32:38 d2.utils.events]: \u001b[0m eta: 0:43:57  iter: 31959  total_loss: 0.2068  loss_cls: 0.01813  loss_box_reg: 0.03972  loss_mask: 0.1105  loss_rpn_cls: 0.001304  loss_rpn_loc: 0.01755  time: 0.3531  data_time: 0.1124  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:32:44 d2.utils.events]: \u001b[0m eta: 0:43:50  iter: 31979  total_loss: 0.1835  loss_cls: 0.01478  loss_box_reg: 0.03933  loss_mask: 0.09425  loss_rpn_cls: 0.0009269  loss_rpn_loc: 0.01556  time: 0.3531  data_time: 0.1130  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:32:51 d2.utils.events]: \u001b[0m eta: 0:43:44  iter: 31999  total_loss: 0.1747  loss_cls: 0.01356  loss_box_reg: 0.03064  loss_mask: 0.1144  loss_rpn_cls: 0.001043  loss_rpn_loc: 0.01226  time: 0.3531  data_time: 0.1166  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:32:57 d2.utils.events]: \u001b[0m eta: 0:43:37  iter: 32019  total_loss: 0.2174  loss_cls: 0.01935  loss_box_reg: 0.02815  loss_mask: 0.1403  loss_rpn_cls: 0.001387  loss_rpn_loc: 0.01241  time: 0.3531  data_time: 0.1141  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:33:04 d2.utils.events]: \u001b[0m eta: 0:43:32  iter: 32039  total_loss: 0.2476  loss_cls: 0.02915  loss_box_reg: 0.05418  loss_mask: 0.1284  loss_rpn_cls: 0.003328  loss_rpn_loc: 0.02731  time: 0.3531  data_time: 0.1131  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:33:10 d2.utils.events]: \u001b[0m eta: 0:43:26  iter: 32059  total_loss: 0.1655  loss_cls: 0.01487  loss_box_reg: 0.03059  loss_mask: 0.1012  loss_rpn_cls: 0.001538  loss_rpn_loc: 0.01416  time: 0.3531  data_time: 0.1131  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:33:17 d2.utils.events]: \u001b[0m eta: 0:43:19  iter: 32079  total_loss: 0.2189  loss_cls: 0.01944  loss_box_reg: 0.03856  loss_mask: 0.1229  loss_rpn_cls: 0.001706  loss_rpn_loc: 0.01919  time: 0.3530  data_time: 0.1125  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:33:23 d2.utils.events]: \u001b[0m eta: 0:43:11  iter: 32099  total_loss: 0.2013  loss_cls: 0.01621  loss_box_reg: 0.03623  loss_mask: 0.1271  loss_rpn_cls: 0.0008305  loss_rpn_loc: 0.0172  time: 0.3530  data_time: 0.1136  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:33:30 d2.utils.events]: \u001b[0m eta: 0:43:05  iter: 32119  total_loss: 0.1899  loss_cls: 0.01499  loss_box_reg: 0.03974  loss_mask: 0.115  loss_rpn_cls: 0.0009062  loss_rpn_loc: 0.01569  time: 0.3530  data_time: 0.1122  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:33:36 d2.utils.events]: \u001b[0m eta: 0:43:04  iter: 32139  total_loss: 0.2395  loss_cls: 0.01951  loss_box_reg: 0.04473  loss_mask: 0.1288  loss_rpn_cls: 0.00209  loss_rpn_loc: 0.02159  time: 0.3530  data_time: 0.1141  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:33:43 d2.utils.events]: \u001b[0m eta: 0:42:58  iter: 32159  total_loss: 0.1963  loss_cls: 0.01931  loss_box_reg: 0.03818  loss_mask: 0.1139  loss_rpn_cls: 0.002218  loss_rpn_loc: 0.02126  time: 0.3530  data_time: 0.1120  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:33:49 d2.utils.events]: \u001b[0m eta: 0:42:53  iter: 32179  total_loss: 0.201  loss_cls: 0.02444  loss_box_reg: 0.03811  loss_mask: 0.1214  loss_rpn_cls: 0.002015  loss_rpn_loc: 0.01493  time: 0.3529  data_time: 0.1125  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:33:56 d2.utils.events]: \u001b[0m eta: 0:42:46  iter: 32199  total_loss: 0.1874  loss_cls: 0.02018  loss_box_reg: 0.03563  loss_mask: 0.1109  loss_rpn_cls: 0.001557  loss_rpn_loc: 0.01978  time: 0.3529  data_time: 0.1130  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:34:02 d2.utils.events]: \u001b[0m eta: 0:42:41  iter: 32219  total_loss: 0.181  loss_cls: 0.01745  loss_box_reg: 0.03935  loss_mask: 0.1196  loss_rpn_cls: 0.002144  loss_rpn_loc: 0.01472  time: 0.3529  data_time: 0.1135  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:34:09 d2.utils.events]: \u001b[0m eta: 0:42:37  iter: 32239  total_loss: 0.1951  loss_cls: 0.01467  loss_box_reg: 0.03059  loss_mask: 0.1213  loss_rpn_cls: 0.001214  loss_rpn_loc: 0.01791  time: 0.3529  data_time: 0.1141  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:34:16 d2.utils.events]: \u001b[0m eta: 0:42:31  iter: 32259  total_loss: 0.1758  loss_cls: 0.0196  loss_box_reg: 0.03408  loss_mask: 0.1138  loss_rpn_cls: 0.001234  loss_rpn_loc: 0.01414  time: 0.3529  data_time: 0.1136  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:34:22 d2.utils.events]: \u001b[0m eta: 0:42:24  iter: 32279  total_loss: 0.2496  loss_cls: 0.01803  loss_box_reg: 0.04193  loss_mask: 0.1259  loss_rpn_cls: 0.00165  loss_rpn_loc: 0.02195  time: 0.3529  data_time: 0.1130  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:34:29 d2.utils.events]: \u001b[0m eta: 0:42:16  iter: 32299  total_loss: 0.2224  loss_cls: 0.02173  loss_box_reg: 0.04098  loss_mask: 0.1269  loss_rpn_cls: 0.001303  loss_rpn_loc: 0.01902  time: 0.3529  data_time: 0.1137  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:34:36 d2.utils.events]: \u001b[0m eta: 0:42:11  iter: 32319  total_loss: 0.216  loss_cls: 0.02435  loss_box_reg: 0.05268  loss_mask: 0.1246  loss_rpn_cls: 0.001312  loss_rpn_loc: 0.01945  time: 0.3528  data_time: 0.1131  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:34:42 d2.utils.events]: \u001b[0m eta: 0:42:04  iter: 32339  total_loss: 0.1658  loss_cls: 0.01726  loss_box_reg: 0.03189  loss_mask: 0.09694  loss_rpn_cls: 0.000743  loss_rpn_loc: 0.01553  time: 0.3528  data_time: 0.1146  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:34:49 d2.utils.events]: \u001b[0m eta: 0:41:58  iter: 32359  total_loss: 0.2017  loss_cls: 0.02135  loss_box_reg: 0.0504  loss_mask: 0.1118  loss_rpn_cls: 0.001443  loss_rpn_loc: 0.02116  time: 0.3528  data_time: 0.1145  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:34:56 d2.utils.events]: \u001b[0m eta: 0:41:54  iter: 32379  total_loss: 0.1798  loss_cls: 0.01657  loss_box_reg: 0.03857  loss_mask: 0.1107  loss_rpn_cls: 0.0009376  loss_rpn_loc: 0.02054  time: 0.3528  data_time: 0.1154  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:35:02 d2.utils.events]: \u001b[0m eta: 0:41:51  iter: 32399  total_loss: 0.222  loss_cls: 0.0182  loss_box_reg: 0.04184  loss_mask: 0.1274  loss_rpn_cls: 0.001499  loss_rpn_loc: 0.0199  time: 0.3528  data_time: 0.1169  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:35:09 d2.utils.events]: \u001b[0m eta: 0:41:45  iter: 32419  total_loss: 0.1814  loss_cls: 0.01411  loss_box_reg: 0.03167  loss_mask: 0.1115  loss_rpn_cls: 0.002627  loss_rpn_loc: 0.01497  time: 0.3528  data_time: 0.1145  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:35:15 d2.utils.events]: \u001b[0m eta: 0:41:38  iter: 32439  total_loss: 0.1776  loss_cls: 0.01327  loss_box_reg: 0.03181  loss_mask: 0.1185  loss_rpn_cls: 0.0009282  loss_rpn_loc: 0.01477  time: 0.3528  data_time: 0.1128  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:35:22 d2.utils.events]: \u001b[0m eta: 0:41:31  iter: 32459  total_loss: 0.2175  loss_cls: 0.02096  loss_box_reg: 0.04376  loss_mask: 0.1219  loss_rpn_cls: 0.002412  loss_rpn_loc: 0.02378  time: 0.3527  data_time: 0.1150  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:35:28 d2.utils.events]: \u001b[0m eta: 0:41:25  iter: 32479  total_loss: 0.1913  loss_cls: 0.01941  loss_box_reg: 0.03241  loss_mask: 0.117  loss_rpn_cls: 0.001904  loss_rpn_loc: 0.01703  time: 0.3527  data_time: 0.1143  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:35:35 d2.utils.events]: \u001b[0m eta: 0:41:15  iter: 32499  total_loss: 0.2235  loss_cls: 0.01754  loss_box_reg: 0.03683  loss_mask: 0.1238  loss_rpn_cls: 0.002559  loss_rpn_loc: 0.01865  time: 0.3527  data_time: 0.1152  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:35:41 d2.utils.events]: \u001b[0m eta: 0:41:07  iter: 32519  total_loss: 0.1931  loss_cls: 0.01853  loss_box_reg: 0.03657  loss_mask: 0.1183  loss_rpn_cls: 0.001436  loss_rpn_loc: 0.02226  time: 0.3527  data_time: 0.1139  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:35:48 d2.utils.events]: \u001b[0m eta: 0:40:58  iter: 32539  total_loss: 0.1951  loss_cls: 0.01526  loss_box_reg: 0.03254  loss_mask: 0.121  loss_rpn_cls: 0.002563  loss_rpn_loc: 0.01561  time: 0.3527  data_time: 0.1128  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:35:54 d2.utils.events]: \u001b[0m eta: 0:40:49  iter: 32559  total_loss: 0.1938  loss_cls: 0.02018  loss_box_reg: 0.03671  loss_mask: 0.1197  loss_rpn_cls: 0.002729  loss_rpn_loc: 0.01624  time: 0.3527  data_time: 0.1133  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:36:01 d2.utils.events]: \u001b[0m eta: 0:40:42  iter: 32579  total_loss: 0.2176  loss_cls: 0.02103  loss_box_reg: 0.04336  loss_mask: 0.1189  loss_rpn_cls: 0.001787  loss_rpn_loc: 0.01974  time: 0.3526  data_time: 0.1137  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:36:08 d2.utils.events]: \u001b[0m eta: 0:40:36  iter: 32599  total_loss: 0.1913  loss_cls: 0.01823  loss_box_reg: 0.03824  loss_mask: 0.1072  loss_rpn_cls: 0.00159  loss_rpn_loc: 0.01586  time: 0.3526  data_time: 0.1153  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:36:14 d2.utils.events]: \u001b[0m eta: 0:40:28  iter: 32619  total_loss: 0.2294  loss_cls: 0.0192  loss_box_reg: 0.0375  loss_mask: 0.1347  loss_rpn_cls: 0.003384  loss_rpn_loc: 0.02152  time: 0.3526  data_time: 0.1131  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:36:21 d2.utils.events]: \u001b[0m eta: 0:40:21  iter: 32639  total_loss: 0.1873  loss_cls: 0.01736  loss_box_reg: 0.03562  loss_mask: 0.1167  loss_rpn_cls: 0.00137  loss_rpn_loc: 0.01591  time: 0.3526  data_time: 0.1138  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:36:28 d2.utils.events]: \u001b[0m eta: 0:40:12  iter: 32659  total_loss: 0.1857  loss_cls: 0.01977  loss_box_reg: 0.03686  loss_mask: 0.1086  loss_rpn_cls: 0.0009824  loss_rpn_loc: 0.01856  time: 0.3526  data_time: 0.1141  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:36:34 d2.utils.events]: \u001b[0m eta: 0:40:05  iter: 32679  total_loss: 0.1876  loss_cls: 0.01989  loss_box_reg: 0.04261  loss_mask: 0.1182  loss_rpn_cls: 0.001323  loss_rpn_loc: 0.02033  time: 0.3526  data_time: 0.1128  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:36:41 d2.utils.events]: \u001b[0m eta: 0:39:59  iter: 32699  total_loss: 0.1867  loss_cls: 0.01556  loss_box_reg: 0.03568  loss_mask: 0.1099  loss_rpn_cls: 0.002055  loss_rpn_loc: 0.01419  time: 0.3526  data_time: 0.1171  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:36:48 d2.utils.events]: \u001b[0m eta: 0:39:51  iter: 32719  total_loss: 0.1715  loss_cls: 0.0158  loss_box_reg: 0.03052  loss_mask: 0.1062  loss_rpn_cls: 0.0004559  loss_rpn_loc: 0.01468  time: 0.3526  data_time: 0.1138  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:36:54 d2.utils.events]: \u001b[0m eta: 0:39:44  iter: 32739  total_loss: 0.1984  loss_cls: 0.0239  loss_box_reg: 0.03509  loss_mask: 0.1239  loss_rpn_cls: 0.001753  loss_rpn_loc: 0.01962  time: 0.3525  data_time: 0.1124  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:37:01 d2.utils.events]: \u001b[0m eta: 0:39:38  iter: 32759  total_loss: 0.2218  loss_cls: 0.02065  loss_box_reg: 0.04203  loss_mask: 0.1194  loss_rpn_cls: 0.002503  loss_rpn_loc: 0.01862  time: 0.3525  data_time: 0.1136  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:37:08 d2.utils.events]: \u001b[0m eta: 0:39:32  iter: 32779  total_loss: 0.1972  loss_cls: 0.01788  loss_box_reg: 0.03967  loss_mask: 0.1218  loss_rpn_cls: 0.001841  loss_rpn_loc: 0.01429  time: 0.3525  data_time: 0.1137  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:37:14 d2.utils.events]: \u001b[0m eta: 0:39:25  iter: 32799  total_loss: 0.1722  loss_cls: 0.01572  loss_box_reg: 0.03344  loss_mask: 0.0984  loss_rpn_cls: 0.001602  loss_rpn_loc: 0.01203  time: 0.3525  data_time: 0.1122  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:37:21 d2.utils.events]: \u001b[0m eta: 0:39:18  iter: 32819  total_loss: 0.1711  loss_cls: 0.01511  loss_box_reg: 0.03228  loss_mask: 0.1035  loss_rpn_cls: 0.001295  loss_rpn_loc: 0.01054  time: 0.3525  data_time: 0.1120  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:37:27 d2.utils.events]: \u001b[0m eta: 0:39:11  iter: 32839  total_loss: 0.1848  loss_cls: 0.01579  loss_box_reg: 0.03224  loss_mask: 0.1088  loss_rpn_cls: 0.001671  loss_rpn_loc: 0.01756  time: 0.3525  data_time: 0.1147  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:37:34 d2.utils.events]: \u001b[0m eta: 0:39:04  iter: 32859  total_loss: 0.2175  loss_cls: 0.02153  loss_box_reg: 0.05284  loss_mask: 0.1282  loss_rpn_cls: 0.001536  loss_rpn_loc: 0.02621  time: 0.3525  data_time: 0.1122  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:37:41 d2.utils.events]: \u001b[0m eta: 0:38:56  iter: 32879  total_loss: 0.1993  loss_cls: 0.01711  loss_box_reg: 0.03151  loss_mask: 0.1096  loss_rpn_cls: 0.001888  loss_rpn_loc: 0.02062  time: 0.3525  data_time: 0.1142  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:37:47 d2.utils.events]: \u001b[0m eta: 0:38:47  iter: 32899  total_loss: 0.1937  loss_cls: 0.01694  loss_box_reg: 0.03854  loss_mask: 0.1196  loss_rpn_cls: 0.001317  loss_rpn_loc: 0.02019  time: 0.3524  data_time: 0.1137  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:37:53 d2.utils.events]: \u001b[0m eta: 0:38:38  iter: 32919  total_loss: 0.2057  loss_cls: 0.01503  loss_box_reg: 0.03602  loss_mask: 0.1295  loss_rpn_cls: 0.001545  loss_rpn_loc: 0.01818  time: 0.3524  data_time: 0.1116  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:38:00 d2.utils.events]: \u001b[0m eta: 0:38:31  iter: 32939  total_loss: 0.2219  loss_cls: 0.0229  loss_box_reg: 0.04016  loss_mask: 0.1341  loss_rpn_cls: 0.001054  loss_rpn_loc: 0.01912  time: 0.3524  data_time: 0.1128  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:38:07 d2.utils.events]: \u001b[0m eta: 0:38:26  iter: 32959  total_loss: 0.1938  loss_cls: 0.02334  loss_box_reg: 0.04565  loss_mask: 0.1094  loss_rpn_cls: 0.001843  loss_rpn_loc: 0.01734  time: 0.3524  data_time: 0.1149  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:38:13 d2.utils.events]: \u001b[0m eta: 0:38:22  iter: 32979  total_loss: 0.1877  loss_cls: 0.01802  loss_box_reg: 0.03522  loss_mask: 0.1188  loss_rpn_cls: 0.001753  loss_rpn_loc: 0.02233  time: 0.3524  data_time: 0.1132  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:38:20 d2.utils.events]: \u001b[0m eta: 0:38:17  iter: 32999  total_loss: 0.2178  loss_cls: 0.01836  loss_box_reg: 0.03851  loss_mask: 0.132  loss_rpn_cls: 0.001781  loss_rpn_loc: 0.01805  time: 0.3524  data_time: 0.1141  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:38:27 d2.utils.events]: \u001b[0m eta: 0:38:12  iter: 33019  total_loss: 0.2362  loss_cls: 0.01941  loss_box_reg: 0.0453  loss_mask: 0.1281  loss_rpn_cls: 0.001348  loss_rpn_loc: 0.01691  time: 0.3523  data_time: 0.1127  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:38:33 d2.utils.events]: \u001b[0m eta: 0:38:05  iter: 33039  total_loss: 0.2023  loss_cls: 0.01727  loss_box_reg: 0.0388  loss_mask: 0.1171  loss_rpn_cls: 0.001571  loss_rpn_loc: 0.02426  time: 0.3523  data_time: 0.1131  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:38:40 d2.utils.events]: \u001b[0m eta: 0:37:59  iter: 33059  total_loss: 0.1604  loss_cls: 0.01309  loss_box_reg: 0.02689  loss_mask: 0.103  loss_rpn_cls: 0.001496  loss_rpn_loc: 0.01397  time: 0.3523  data_time: 0.1124  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:38:47 d2.utils.events]: \u001b[0m eta: 0:37:54  iter: 33079  total_loss: 0.2242  loss_cls: 0.02139  loss_box_reg: 0.04219  loss_mask: 0.1299  loss_rpn_cls: 0.002242  loss_rpn_loc: 0.01944  time: 0.3523  data_time: 0.1148  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:38:53 d2.utils.events]: \u001b[0m eta: 0:37:48  iter: 33099  total_loss: 0.1944  loss_cls: 0.02058  loss_box_reg: 0.04237  loss_mask: 0.1011  loss_rpn_cls: 0.001214  loss_rpn_loc: 0.01965  time: 0.3523  data_time: 0.1136  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:39:00 d2.utils.events]: \u001b[0m eta: 0:37:43  iter: 33119  total_loss: 0.2052  loss_cls: 0.01643  loss_box_reg: 0.03465  loss_mask: 0.1204  loss_rpn_cls: 0.001106  loss_rpn_loc: 0.01766  time: 0.3523  data_time: 0.1140  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:39:06 d2.utils.events]: \u001b[0m eta: 0:37:35  iter: 33139  total_loss: 0.2288  loss_cls: 0.02313  loss_box_reg: 0.04414  loss_mask: 0.1213  loss_rpn_cls: 0.002202  loss_rpn_loc: 0.01628  time: 0.3523  data_time: 0.1143  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:39:13 d2.utils.events]: \u001b[0m eta: 0:37:31  iter: 33159  total_loss: 0.1711  loss_cls: 0.01967  loss_box_reg: 0.02805  loss_mask: 0.1062  loss_rpn_cls: 0.0007137  loss_rpn_loc: 0.01219  time: 0.3523  data_time: 0.1139  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:39:20 d2.utils.events]: \u001b[0m eta: 0:37:25  iter: 33179  total_loss: 0.1929  loss_cls: 0.01486  loss_box_reg: 0.03102  loss_mask: 0.1137  loss_rpn_cls: 0.001347  loss_rpn_loc: 0.01854  time: 0.3522  data_time: 0.1145  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:39:26 d2.utils.events]: \u001b[0m eta: 0:37:21  iter: 33199  total_loss: 0.2128  loss_cls: 0.02039  loss_box_reg: 0.04423  loss_mask: 0.1161  loss_rpn_cls: 0.001861  loss_rpn_loc: 0.02219  time: 0.3522  data_time: 0.1134  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:39:33 d2.utils.events]: \u001b[0m eta: 0:37:14  iter: 33219  total_loss: 0.201  loss_cls: 0.0189  loss_box_reg: 0.03867  loss_mask: 0.1127  loss_rpn_cls: 0.002059  loss_rpn_loc: 0.02418  time: 0.3522  data_time: 0.1127  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:39:39 d2.utils.events]: \u001b[0m eta: 0:37:04  iter: 33239  total_loss: 0.2059  loss_cls: 0.01314  loss_box_reg: 0.03199  loss_mask: 0.1213  loss_rpn_cls: 0.003944  loss_rpn_loc: 0.02192  time: 0.3522  data_time: 0.1129  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:39:46 d2.utils.events]: \u001b[0m eta: 0:36:58  iter: 33259  total_loss: 0.1957  loss_cls: 0.02295  loss_box_reg: 0.04398  loss_mask: 0.1105  loss_rpn_cls: 0.001098  loss_rpn_loc: 0.01764  time: 0.3522  data_time: 0.1123  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:39:53 d2.utils.events]: \u001b[0m eta: 0:36:53  iter: 33279  total_loss: 0.1884  loss_cls: 0.01649  loss_box_reg: 0.03593  loss_mask: 0.1044  loss_rpn_cls: 0.001448  loss_rpn_loc: 0.01918  time: 0.3522  data_time: 0.1133  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:39:59 d2.utils.events]: \u001b[0m eta: 0:36:46  iter: 33299  total_loss: 0.1811  loss_cls: 0.01806  loss_box_reg: 0.03437  loss_mask: 0.1104  loss_rpn_cls: 0.0009487  loss_rpn_loc: 0.01933  time: 0.3522  data_time: 0.1131  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:40:06 d2.utils.events]: \u001b[0m eta: 0:36:41  iter: 33319  total_loss: 0.2427  loss_cls: 0.02101  loss_box_reg: 0.0482  loss_mask: 0.1139  loss_rpn_cls: 0.003421  loss_rpn_loc: 0.02517  time: 0.3522  data_time: 0.1137  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:40:13 d2.utils.events]: \u001b[0m eta: 0:36:34  iter: 33339  total_loss: 0.2358  loss_cls: 0.02011  loss_box_reg: 0.03944  loss_mask: 0.122  loss_rpn_cls: 0.001627  loss_rpn_loc: 0.02368  time: 0.3521  data_time: 0.1141  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:40:19 d2.utils.events]: \u001b[0m eta: 0:36:27  iter: 33359  total_loss: 0.1784  loss_cls: 0.01542  loss_box_reg: 0.03759  loss_mask: 0.1042  loss_rpn_cls: 0.002054  loss_rpn_loc: 0.01353  time: 0.3521  data_time: 0.1161  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:40:26 d2.utils.events]: \u001b[0m eta: 0:36:21  iter: 33379  total_loss: 0.1827  loss_cls: 0.01545  loss_box_reg: 0.02655  loss_mask: 0.1119  loss_rpn_cls: 0.0008048  loss_rpn_loc: 0.01081  time: 0.3521  data_time: 0.1141  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:40:33 d2.utils.events]: \u001b[0m eta: 0:36:13  iter: 33399  total_loss: 0.2075  loss_cls: 0.02442  loss_box_reg: 0.04799  loss_mask: 0.1254  loss_rpn_cls: 0.002207  loss_rpn_loc: 0.01865  time: 0.3521  data_time: 0.1124  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:40:39 d2.utils.events]: \u001b[0m eta: 0:36:06  iter: 33419  total_loss: 0.1602  loss_cls: 0.01561  loss_box_reg: 0.03094  loss_mask: 0.09306  loss_rpn_cls: 0.001209  loss_rpn_loc: 0.009199  time: 0.3521  data_time: 0.1128  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:40:45 d2.utils.events]: \u001b[0m eta: 0:36:00  iter: 33439  total_loss: 0.1841  loss_cls: 0.01674  loss_box_reg: 0.03608  loss_mask: 0.1129  loss_rpn_cls: 0.001166  loss_rpn_loc: 0.01771  time: 0.3521  data_time: 0.1142  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:40:52 d2.utils.events]: \u001b[0m eta: 0:35:54  iter: 33459  total_loss: 0.2195  loss_cls: 0.01765  loss_box_reg: 0.03672  loss_mask: 0.1141  loss_rpn_cls: 0.002031  loss_rpn_loc: 0.02339  time: 0.3521  data_time: 0.1151  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:40:58 d2.utils.events]: \u001b[0m eta: 0:35:47  iter: 33479  total_loss: 0.1993  loss_cls: 0.02002  loss_box_reg: 0.03223  loss_mask: 0.1322  loss_rpn_cls: 0.00137  loss_rpn_loc: 0.01804  time: 0.3520  data_time: 0.1136  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:41:05 d2.utils.events]: \u001b[0m eta: 0:35:40  iter: 33499  total_loss: 0.2209  loss_cls: 0.02229  loss_box_reg: 0.04661  loss_mask: 0.1164  loss_rpn_cls: 0.001136  loss_rpn_loc: 0.02118  time: 0.3520  data_time: 0.1121  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:41:11 d2.utils.events]: \u001b[0m eta: 0:35:33  iter: 33519  total_loss: 0.2211  loss_cls: 0.01733  loss_box_reg: 0.0402  loss_mask: 0.1219  loss_rpn_cls: 0.001709  loss_rpn_loc: 0.02161  time: 0.3520  data_time: 0.1131  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:41:18 d2.utils.events]: \u001b[0m eta: 0:35:26  iter: 33539  total_loss: 0.1636  loss_cls: 0.0128  loss_box_reg: 0.03505  loss_mask: 0.1028  loss_rpn_cls: 0.0007632  loss_rpn_loc: 0.01378  time: 0.3520  data_time: 0.1121  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:41:24 d2.utils.events]: \u001b[0m eta: 0:35:20  iter: 33559  total_loss: 0.2167  loss_cls: 0.02311  loss_box_reg: 0.04135  loss_mask: 0.1107  loss_rpn_cls: 0.0008765  loss_rpn_loc: 0.01815  time: 0.3520  data_time: 0.1129  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:41:31 d2.utils.events]: \u001b[0m eta: 0:35:11  iter: 33579  total_loss: 0.2033  loss_cls: 0.01455  loss_box_reg: 0.03582  loss_mask: 0.1154  loss_rpn_cls: 0.001097  loss_rpn_loc: 0.01547  time: 0.3519  data_time: 0.1120  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:41:37 d2.utils.events]: \u001b[0m eta: 0:35:03  iter: 33599  total_loss: 0.2186  loss_cls: 0.02016  loss_box_reg: 0.03994  loss_mask: 0.1374  loss_rpn_cls: 0.002622  loss_rpn_loc: 0.02418  time: 0.3519  data_time: 0.1133  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:41:43 d2.utils.events]: \u001b[0m eta: 0:34:55  iter: 33619  total_loss: 0.1775  loss_cls: 0.01501  loss_box_reg: 0.03209  loss_mask: 0.1156  loss_rpn_cls: 0.001408  loss_rpn_loc: 0.01797  time: 0.3519  data_time: 0.1132  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:41:50 d2.utils.events]: \u001b[0m eta: 0:34:44  iter: 33639  total_loss: 0.1801  loss_cls: 0.01735  loss_box_reg: 0.03435  loss_mask: 0.1223  loss_rpn_cls: 0.0007606  loss_rpn_loc: 0.01603  time: 0.3519  data_time: 0.1131  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:41:56 d2.utils.events]: \u001b[0m eta: 0:34:39  iter: 33659  total_loss: 0.1886  loss_cls: 0.01386  loss_box_reg: 0.03372  loss_mask: 0.1083  loss_rpn_cls: 0.001014  loss_rpn_loc: 0.01504  time: 0.3519  data_time: 0.1133  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:42:03 d2.utils.events]: \u001b[0m eta: 0:34:32  iter: 33679  total_loss: 0.2241  loss_cls: 0.01937  loss_box_reg: 0.04191  loss_mask: 0.1265  loss_rpn_cls: 0.001874  loss_rpn_loc: 0.02419  time: 0.3518  data_time: 0.1124  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:42:09 d2.utils.events]: \u001b[0m eta: 0:34:22  iter: 33699  total_loss: 0.1791  loss_cls: 0.01411  loss_box_reg: 0.03076  loss_mask: 0.1115  loss_rpn_cls: 0.001965  loss_rpn_loc: 0.01353  time: 0.3518  data_time: 0.1129  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:42:15 d2.utils.events]: \u001b[0m eta: 0:34:16  iter: 33719  total_loss: 0.1831  loss_cls: 0.01636  loss_box_reg: 0.03678  loss_mask: 0.09777  loss_rpn_cls: 0.0005139  loss_rpn_loc: 0.01426  time: 0.3518  data_time: 0.1134  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:42:22 d2.utils.events]: \u001b[0m eta: 0:34:08  iter: 33739  total_loss: 0.2227  loss_cls: 0.01896  loss_box_reg: 0.03723  loss_mask: 0.1176  loss_rpn_cls: 0.002851  loss_rpn_loc: 0.01911  time: 0.3518  data_time: 0.1125  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:42:28 d2.utils.events]: \u001b[0m eta: 0:34:00  iter: 33759  total_loss: 0.2013  loss_cls: 0.02283  loss_box_reg: 0.04445  loss_mask: 0.1176  loss_rpn_cls: 0.00152  loss_rpn_loc: 0.01706  time: 0.3518  data_time: 0.1129  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:42:35 d2.utils.events]: \u001b[0m eta: 0:33:54  iter: 33779  total_loss: 0.1959  loss_cls: 0.01769  loss_box_reg: 0.03917  loss_mask: 0.1125  loss_rpn_cls: 0.0009577  loss_rpn_loc: 0.01863  time: 0.3517  data_time: 0.1129  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:42:41 d2.utils.events]: \u001b[0m eta: 0:33:48  iter: 33799  total_loss: 0.1998  loss_cls: 0.01997  loss_box_reg: 0.04166  loss_mask: 0.1197  loss_rpn_cls: 0.001177  loss_rpn_loc: 0.01693  time: 0.3517  data_time: 0.1142  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:42:48 d2.utils.events]: \u001b[0m eta: 0:33:42  iter: 33819  total_loss: 0.2231  loss_cls: 0.01703  loss_box_reg: 0.03874  loss_mask: 0.1247  loss_rpn_cls: 0.001601  loss_rpn_loc: 0.0239  time: 0.3517  data_time: 0.1142  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:42:55 d2.utils.events]: \u001b[0m eta: 0:33:34  iter: 33839  total_loss: 0.1691  loss_cls: 0.01106  loss_box_reg: 0.03181  loss_mask: 0.11  loss_rpn_cls: 0.002098  loss_rpn_loc: 0.01748  time: 0.3517  data_time: 0.1135  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:43:01 d2.utils.events]: \u001b[0m eta: 0:33:27  iter: 33859  total_loss: 0.1748  loss_cls: 0.0191  loss_box_reg: 0.03705  loss_mask: 0.1107  loss_rpn_cls: 0.002518  loss_rpn_loc: 0.01737  time: 0.3517  data_time: 0.1134  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:43:08 d2.utils.events]: \u001b[0m eta: 0:33:22  iter: 33879  total_loss: 0.1648  loss_cls: 0.01231  loss_box_reg: 0.02966  loss_mask: 0.1034  loss_rpn_cls: 0.00222  loss_rpn_loc: 0.01544  time: 0.3517  data_time: 0.1130  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:43:15 d2.utils.events]: \u001b[0m eta: 0:33:17  iter: 33899  total_loss: 0.2005  loss_cls: 0.01848  loss_box_reg: 0.04481  loss_mask: 0.1199  loss_rpn_cls: 0.001034  loss_rpn_loc: 0.01912  time: 0.3517  data_time: 0.1134  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:43:21 d2.utils.events]: \u001b[0m eta: 0:33:12  iter: 33919  total_loss: 0.1793  loss_cls: 0.01384  loss_box_reg: 0.03506  loss_mask: 0.1085  loss_rpn_cls: 0.000936  loss_rpn_loc: 0.01611  time: 0.3517  data_time: 0.1127  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:43:28 d2.utils.events]: \u001b[0m eta: 0:33:06  iter: 33939  total_loss: 0.2016  loss_cls: 0.02003  loss_box_reg: 0.04063  loss_mask: 0.1215  loss_rpn_cls: 0.00132  loss_rpn_loc: 0.01819  time: 0.3517  data_time: 0.1133  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:43:34 d2.utils.events]: \u001b[0m eta: 0:32:58  iter: 33959  total_loss: 0.1564  loss_cls: 0.01378  loss_box_reg: 0.03138  loss_mask: 0.09719  loss_rpn_cls: 0.001673  loss_rpn_loc: 0.01374  time: 0.3516  data_time: 0.1142  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:43:41 d2.utils.events]: \u001b[0m eta: 0:32:50  iter: 33979  total_loss: 0.18  loss_cls: 0.01612  loss_box_reg: 0.02907  loss_mask: 0.1057  loss_rpn_cls: 0.001441  loss_rpn_loc: 0.01777  time: 0.3516  data_time: 0.1146  lr: 2.5e-05  max_mem: 2109M\n",
      "\u001b[32m[12/15 12:43:48 d2.utils.events]: \u001b[0m eta: 0:32:45  iter: 33999  total_loss: 0.194  loss_cls: 0.02065  loss_box_reg: 0.0456  loss_mask: 0.1089  loss_rpn_cls: 0.001654  loss_rpn_loc: 0.02244  time: 0.3516  data_time: 0.1122  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:43:54 d2.utils.events]: \u001b[0m eta: 0:32:38  iter: 34019  total_loss: 0.1548  loss_cls: 0.01307  loss_box_reg: 0.02911  loss_mask: 0.09174  loss_rpn_cls: 0.000685  loss_rpn_loc: 0.01449  time: 0.3516  data_time: 0.1132  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:44:01 d2.utils.events]: \u001b[0m eta: 0:32:31  iter: 34039  total_loss: 0.1979  loss_cls: 0.02328  loss_box_reg: 0.04052  loss_mask: 0.1217  loss_rpn_cls: 0.001107  loss_rpn_loc: 0.02035  time: 0.3516  data_time: 0.1140  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:44:07 d2.utils.events]: \u001b[0m eta: 0:32:26  iter: 34059  total_loss: 0.1766  loss_cls: 0.01563  loss_box_reg: 0.04113  loss_mask: 0.106  loss_rpn_cls: 0.002339  loss_rpn_loc: 0.01537  time: 0.3516  data_time: 0.1121  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:44:14 d2.utils.events]: \u001b[0m eta: 0:32:18  iter: 34079  total_loss: 0.1802  loss_cls: 0.01575  loss_box_reg: 0.03253  loss_mask: 0.1039  loss_rpn_cls: 0.001078  loss_rpn_loc: 0.01715  time: 0.3516  data_time: 0.1134  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:44:21 d2.utils.events]: \u001b[0m eta: 0:32:12  iter: 34099  total_loss: 0.217  loss_cls: 0.01501  loss_box_reg: 0.03485  loss_mask: 0.1289  loss_rpn_cls: 0.001525  loss_rpn_loc: 0.01596  time: 0.3515  data_time: 0.1122  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:44:27 d2.utils.events]: \u001b[0m eta: 0:32:07  iter: 34119  total_loss: 0.1972  loss_cls: 0.01744  loss_box_reg: 0.04126  loss_mask: 0.1228  loss_rpn_cls: 0.002777  loss_rpn_loc: 0.01677  time: 0.3515  data_time: 0.1131  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:44:34 d2.utils.events]: \u001b[0m eta: 0:32:01  iter: 34139  total_loss: 0.2127  loss_cls: 0.0209  loss_box_reg: 0.03982  loss_mask: 0.1117  loss_rpn_cls: 0.002273  loss_rpn_loc: 0.01929  time: 0.3515  data_time: 0.1139  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:44:41 d2.utils.events]: \u001b[0m eta: 0:31:54  iter: 34159  total_loss: 0.1824  loss_cls: 0.01928  loss_box_reg: 0.03509  loss_mask: 0.1066  loss_rpn_cls: 0.0009782  loss_rpn_loc: 0.0167  time: 0.3515  data_time: 0.1146  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:44:48 d2.utils.events]: \u001b[0m eta: 0:31:47  iter: 34179  total_loss: 0.2029  loss_cls: 0.01609  loss_box_reg: 0.03825  loss_mask: 0.126  loss_rpn_cls: 0.001189  loss_rpn_loc: 0.01293  time: 0.3515  data_time: 0.1143  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:44:55 d2.utils.events]: \u001b[0m eta: 0:31:41  iter: 34199  total_loss: 0.1933  loss_cls: 0.01838  loss_box_reg: 0.03784  loss_mask: 0.1232  loss_rpn_cls: 0.001023  loss_rpn_loc: 0.0168  time: 0.3515  data_time: 0.1152  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:45:02 d2.utils.events]: \u001b[0m eta: 0:31:36  iter: 34219  total_loss: 0.1746  loss_cls: 0.01502  loss_box_reg: 0.03279  loss_mask: 0.1026  loss_rpn_cls: 0.000669  loss_rpn_loc: 0.01621  time: 0.3515  data_time: 0.1143  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:45:08 d2.utils.events]: \u001b[0m eta: 0:31:29  iter: 34239  total_loss: 0.2107  loss_cls: 0.01934  loss_box_reg: 0.0411  loss_mask: 0.1216  loss_rpn_cls: 0.001728  loss_rpn_loc: 0.02599  time: 0.3515  data_time: 0.1129  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:45:15 d2.utils.events]: \u001b[0m eta: 0:31:24  iter: 34259  total_loss: 0.1904  loss_cls: 0.01649  loss_box_reg: 0.03154  loss_mask: 0.1133  loss_rpn_cls: 0.001307  loss_rpn_loc: 0.01871  time: 0.3515  data_time: 0.1135  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:45:21 d2.utils.events]: \u001b[0m eta: 0:31:16  iter: 34279  total_loss: 0.2023  loss_cls: 0.01901  loss_box_reg: 0.03562  loss_mask: 0.1202  loss_rpn_cls: 0.001209  loss_rpn_loc: 0.01895  time: 0.3515  data_time: 0.1144  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:45:28 d2.utils.events]: \u001b[0m eta: 0:31:10  iter: 34299  total_loss: 0.1823  loss_cls: 0.02362  loss_box_reg: 0.03954  loss_mask: 0.1144  loss_rpn_cls: 0.00117  loss_rpn_loc: 0.02273  time: 0.3515  data_time: 0.1135  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:45:35 d2.utils.events]: \u001b[0m eta: 0:31:04  iter: 34319  total_loss: 0.2181  loss_cls: 0.02311  loss_box_reg: 0.04538  loss_mask: 0.1127  loss_rpn_cls: 0.001797  loss_rpn_loc: 0.02173  time: 0.3515  data_time: 0.1142  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:45:42 d2.utils.events]: \u001b[0m eta: 0:30:56  iter: 34339  total_loss: 0.2085  loss_cls: 0.01686  loss_box_reg: 0.0403  loss_mask: 0.1166  loss_rpn_cls: 0.002024  loss_rpn_loc: 0.01745  time: 0.3514  data_time: 0.1133  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:45:48 d2.utils.events]: \u001b[0m eta: 0:30:50  iter: 34359  total_loss: 0.2085  loss_cls: 0.02119  loss_box_reg: 0.04263  loss_mask: 0.1254  loss_rpn_cls: 0.002012  loss_rpn_loc: 0.02051  time: 0.3514  data_time: 0.1131  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:45:55 d2.utils.events]: \u001b[0m eta: 0:30:42  iter: 34379  total_loss: 0.2189  loss_cls: 0.0173  loss_box_reg: 0.03585  loss_mask: 0.1293  loss_rpn_cls: 0.00168  loss_rpn_loc: 0.02033  time: 0.3514  data_time: 0.1134  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:46:01 d2.utils.events]: \u001b[0m eta: 0:30:36  iter: 34399  total_loss: 0.1778  loss_cls: 0.01632  loss_box_reg: 0.0353  loss_mask: 0.1038  loss_rpn_cls: 0.001371  loss_rpn_loc: 0.01913  time: 0.3514  data_time: 0.1134  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:46:08 d2.utils.events]: \u001b[0m eta: 0:30:30  iter: 34419  total_loss: 0.1998  loss_cls: 0.01973  loss_box_reg: 0.03808  loss_mask: 0.09906  loss_rpn_cls: 0.000833  loss_rpn_loc: 0.01634  time: 0.3514  data_time: 0.1149  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:46:15 d2.utils.events]: \u001b[0m eta: 0:30:24  iter: 34439  total_loss: 0.1705  loss_cls: 0.01336  loss_box_reg: 0.02848  loss_mask: 0.1046  loss_rpn_cls: 0.001091  loss_rpn_loc: 0.0163  time: 0.3514  data_time: 0.1138  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:46:21 d2.utils.events]: \u001b[0m eta: 0:30:19  iter: 34459  total_loss: 0.1606  loss_cls: 0.0131  loss_box_reg: 0.02872  loss_mask: 0.1014  loss_rpn_cls: 0.0009708  loss_rpn_loc: 0.01525  time: 0.3514  data_time: 0.1126  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:46:28 d2.utils.events]: \u001b[0m eta: 0:30:13  iter: 34479  total_loss: 0.1899  loss_cls: 0.02122  loss_box_reg: 0.03979  loss_mask: 0.1087  loss_rpn_cls: 0.001224  loss_rpn_loc: 0.02026  time: 0.3514  data_time: 0.1142  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:46:34 d2.utils.events]: \u001b[0m eta: 0:30:07  iter: 34499  total_loss: 0.1814  loss_cls: 0.01722  loss_box_reg: 0.03009  loss_mask: 0.1093  loss_rpn_cls: 0.001333  loss_rpn_loc: 0.0152  time: 0.3513  data_time: 0.1132  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:46:41 d2.utils.events]: \u001b[0m eta: 0:30:00  iter: 34519  total_loss: 0.2357  loss_cls: 0.01722  loss_box_reg: 0.03965  loss_mask: 0.1371  loss_rpn_cls: 0.001461  loss_rpn_loc: 0.01958  time: 0.3513  data_time: 0.1140  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:46:47 d2.utils.events]: \u001b[0m eta: 0:29:53  iter: 34539  total_loss: 0.1921  loss_cls: 0.02001  loss_box_reg: 0.04353  loss_mask: 0.1165  loss_rpn_cls: 0.003439  loss_rpn_loc: 0.01954  time: 0.3513  data_time: 0.1132  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:46:54 d2.utils.events]: \u001b[0m eta: 0:29:47  iter: 34559  total_loss: 0.1769  loss_cls: 0.01583  loss_box_reg: 0.03676  loss_mask: 0.1083  loss_rpn_cls: 0.006464  loss_rpn_loc: 0.01419  time: 0.3513  data_time: 0.1124  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:47:00 d2.utils.events]: \u001b[0m eta: 0:29:40  iter: 34579  total_loss: 0.2402  loss_cls: 0.02089  loss_box_reg: 0.05185  loss_mask: 0.134  loss_rpn_cls: 0.002861  loss_rpn_loc: 0.02238  time: 0.3513  data_time: 0.1139  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:47:07 d2.utils.events]: \u001b[0m eta: 0:29:34  iter: 34599  total_loss: 0.1939  loss_cls: 0.0178  loss_box_reg: 0.03875  loss_mask: 0.1221  loss_rpn_cls: 0.001319  loss_rpn_loc: 0.01605  time: 0.3513  data_time: 0.1136  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:47:13 d2.utils.events]: \u001b[0m eta: 0:29:28  iter: 34619  total_loss: 0.2022  loss_cls: 0.02024  loss_box_reg: 0.0327  loss_mask: 0.1131  loss_rpn_cls: 0.001666  loss_rpn_loc: 0.01967  time: 0.3512  data_time: 0.1132  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:47:20 d2.utils.events]: \u001b[0m eta: 0:29:24  iter: 34639  total_loss: 0.1666  loss_cls: 0.01627  loss_box_reg: 0.03952  loss_mask: 0.1057  loss_rpn_cls: 0.001221  loss_rpn_loc: 0.01693  time: 0.3512  data_time: 0.1132  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:47:26 d2.utils.events]: \u001b[0m eta: 0:29:16  iter: 34659  total_loss: 0.1638  loss_cls: 0.01606  loss_box_reg: 0.03122  loss_mask: 0.1029  loss_rpn_cls: 0.0007403  loss_rpn_loc: 0.01567  time: 0.3512  data_time: 0.1130  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:47:33 d2.utils.events]: \u001b[0m eta: 0:29:09  iter: 34679  total_loss: 0.1746  loss_cls: 0.01564  loss_box_reg: 0.03503  loss_mask: 0.1091  loss_rpn_cls: 0.0005408  loss_rpn_loc: 0.0151  time: 0.3512  data_time: 0.1131  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:47:39 d2.utils.events]: \u001b[0m eta: 0:29:03  iter: 34699  total_loss: 0.1896  loss_cls: 0.02209  loss_box_reg: 0.04017  loss_mask: 0.1116  loss_rpn_cls: 0.002355  loss_rpn_loc: 0.02101  time: 0.3512  data_time: 0.1143  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:47:46 d2.utils.events]: \u001b[0m eta: 0:28:56  iter: 34719  total_loss: 0.1971  loss_cls: 0.01811  loss_box_reg: 0.03762  loss_mask: 0.1091  loss_rpn_cls: 0.00168  loss_rpn_loc: 0.01853  time: 0.3512  data_time: 0.1141  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:47:52 d2.utils.events]: \u001b[0m eta: 0:28:50  iter: 34739  total_loss: 0.2196  loss_cls: 0.01823  loss_box_reg: 0.03486  loss_mask: 0.1208  loss_rpn_cls: 0.001438  loss_rpn_loc: 0.02152  time: 0.3512  data_time: 0.1146  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:47:59 d2.utils.events]: \u001b[0m eta: 0:28:44  iter: 34759  total_loss: 0.1569  loss_cls: 0.01945  loss_box_reg: 0.03106  loss_mask: 0.09449  loss_rpn_cls: 0.0003849  loss_rpn_loc: 0.01238  time: 0.3511  data_time: 0.1133  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:48:05 d2.utils.events]: \u001b[0m eta: 0:28:38  iter: 34779  total_loss: 0.1965  loss_cls: 0.02221  loss_box_reg: 0.04054  loss_mask: 0.1219  loss_rpn_cls: 0.000791  loss_rpn_loc: 0.02179  time: 0.3511  data_time: 0.1132  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:48:12 d2.utils.events]: \u001b[0m eta: 0:28:31  iter: 34799  total_loss: 0.2169  loss_cls: 0.02271  loss_box_reg: 0.04156  loss_mask: 0.1253  loss_rpn_cls: 0.001889  loss_rpn_loc: 0.01697  time: 0.3511  data_time: 0.1124  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:48:19 d2.utils.events]: \u001b[0m eta: 0:28:24  iter: 34819  total_loss: 0.2052  loss_cls: 0.01986  loss_box_reg: 0.0386  loss_mask: 0.1228  loss_rpn_cls: 0.001213  loss_rpn_loc: 0.01319  time: 0.3511  data_time: 0.1131  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:48:25 d2.utils.events]: \u001b[0m eta: 0:28:18  iter: 34839  total_loss: 0.2261  loss_cls: 0.02023  loss_box_reg: 0.03862  loss_mask: 0.1255  loss_rpn_cls: 0.002693  loss_rpn_loc: 0.02831  time: 0.3511  data_time: 0.1129  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:48:32 d2.utils.events]: \u001b[0m eta: 0:28:09  iter: 34859  total_loss: 0.2099  loss_cls: 0.01638  loss_box_reg: 0.03718  loss_mask: 0.1239  loss_rpn_cls: 0.001705  loss_rpn_loc: 0.02055  time: 0.3511  data_time: 0.1143  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:48:38 d2.utils.events]: \u001b[0m eta: 0:28:02  iter: 34879  total_loss: 0.1935  loss_cls: 0.01916  loss_box_reg: 0.03498  loss_mask: 0.1222  loss_rpn_cls: 0.001354  loss_rpn_loc: 0.01291  time: 0.3511  data_time: 0.1133  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:48:45 d2.utils.events]: \u001b[0m eta: 0:27:55  iter: 34899  total_loss: 0.173  loss_cls: 0.01808  loss_box_reg: 0.03561  loss_mask: 0.1044  loss_rpn_cls: 0.001574  loss_rpn_loc: 0.01802  time: 0.3510  data_time: 0.1119  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:48:51 d2.utils.events]: \u001b[0m eta: 0:27:49  iter: 34919  total_loss: 0.1884  loss_cls: 0.0173  loss_box_reg: 0.0383  loss_mask: 0.1168  loss_rpn_cls: 0.001511  loss_rpn_loc: 0.01954  time: 0.3510  data_time: 0.1128  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:48:57 d2.utils.events]: \u001b[0m eta: 0:27:42  iter: 34939  total_loss: 0.1618  loss_cls: 0.01468  loss_box_reg: 0.03194  loss_mask: 0.1073  loss_rpn_cls: 0.001838  loss_rpn_loc: 0.01555  time: 0.3510  data_time: 0.1135  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:49:04 d2.utils.events]: \u001b[0m eta: 0:27:35  iter: 34959  total_loss: 0.1948  loss_cls: 0.01908  loss_box_reg: 0.0399  loss_mask: 0.1228  loss_rpn_cls: 0.00128  loss_rpn_loc: 0.01901  time: 0.3510  data_time: 0.1125  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:49:10 d2.utils.events]: \u001b[0m eta: 0:27:28  iter: 34979  total_loss: 0.2149  loss_cls: 0.01728  loss_box_reg: 0.04185  loss_mask: 0.1187  loss_rpn_cls: 0.0009465  loss_rpn_loc: 0.01766  time: 0.3510  data_time: 0.1120  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:49:17 d2.utils.events]: \u001b[0m eta: 0:27:20  iter: 34999  total_loss: 0.1925  loss_cls: 0.01999  loss_box_reg: 0.03389  loss_mask: 0.1159  loss_rpn_cls: 0.002106  loss_rpn_loc: 0.0182  time: 0.3510  data_time: 0.1127  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:49:24 d2.utils.events]: \u001b[0m eta: 0:27:13  iter: 35019  total_loss: 0.1889  loss_cls: 0.01874  loss_box_reg: 0.04456  loss_mask: 0.1006  loss_rpn_cls: 0.001917  loss_rpn_loc: 0.02421  time: 0.3509  data_time: 0.1131  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:49:30 d2.utils.events]: \u001b[0m eta: 0:27:06  iter: 35039  total_loss: 0.1944  loss_cls: 0.02077  loss_box_reg: 0.04006  loss_mask: 0.1044  loss_rpn_cls: 0.001181  loss_rpn_loc: 0.01441  time: 0.3509  data_time: 0.1126  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:49:36 d2.utils.events]: \u001b[0m eta: 0:26:58  iter: 35059  total_loss: 0.1765  loss_cls: 0.01588  loss_box_reg: 0.03208  loss_mask: 0.1102  loss_rpn_cls: 0.0007664  loss_rpn_loc: 0.01348  time: 0.3509  data_time: 0.1128  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:49:43 d2.utils.events]: \u001b[0m eta: 0:26:51  iter: 35079  total_loss: 0.2009  loss_cls: 0.01895  loss_box_reg: 0.04441  loss_mask: 0.109  loss_rpn_cls: 0.002573  loss_rpn_loc: 0.0216  time: 0.3509  data_time: 0.1132  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:49:49 d2.utils.events]: \u001b[0m eta: 0:26:44  iter: 35099  total_loss: 0.1686  loss_cls: 0.01496  loss_box_reg: 0.03813  loss_mask: 0.1052  loss_rpn_cls: 0.001104  loss_rpn_loc: 0.01262  time: 0.3509  data_time: 0.1122  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:49:56 d2.utils.events]: \u001b[0m eta: 0:26:36  iter: 35119  total_loss: 0.1888  loss_cls: 0.01737  loss_box_reg: 0.04342  loss_mask: 0.1088  loss_rpn_cls: 0.001389  loss_rpn_loc: 0.01392  time: 0.3508  data_time: 0.1130  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:50:02 d2.utils.events]: \u001b[0m eta: 0:26:27  iter: 35139  total_loss: 0.2078  loss_cls: 0.02101  loss_box_reg: 0.04001  loss_mask: 0.1115  loss_rpn_cls: 0.001031  loss_rpn_loc: 0.01989  time: 0.3508  data_time: 0.1132  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:50:08 d2.utils.events]: \u001b[0m eta: 0:26:19  iter: 35159  total_loss: 0.1728  loss_cls: 0.0172  loss_box_reg: 0.03438  loss_mask: 0.1093  loss_rpn_cls: 0.001149  loss_rpn_loc: 0.01688  time: 0.3508  data_time: 0.1121  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:50:15 d2.utils.events]: \u001b[0m eta: 0:26:12  iter: 35179  total_loss: 0.2212  loss_cls: 0.01847  loss_box_reg: 0.03447  loss_mask: 0.1371  loss_rpn_cls: 0.003359  loss_rpn_loc: 0.02139  time: 0.3508  data_time: 0.1134  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:50:21 d2.utils.events]: \u001b[0m eta: 0:26:04  iter: 35199  total_loss: 0.1804  loss_cls: 0.01339  loss_box_reg: 0.03193  loss_mask: 0.103  loss_rpn_cls: 0.002264  loss_rpn_loc: 0.01664  time: 0.3508  data_time: 0.1126  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:50:28 d2.utils.events]: \u001b[0m eta: 0:25:57  iter: 35219  total_loss: 0.1845  loss_cls: 0.01562  loss_box_reg: 0.0307  loss_mask: 0.1031  loss_rpn_cls: 0.0007644  loss_rpn_loc: 0.01385  time: 0.3508  data_time: 0.1136  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:50:34 d2.utils.events]: \u001b[0m eta: 0:25:48  iter: 35239  total_loss: 0.1859  loss_cls: 0.01586  loss_box_reg: 0.03228  loss_mask: 0.1066  loss_rpn_cls: 0.001543  loss_rpn_loc: 0.01719  time: 0.3507  data_time: 0.1123  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:50:41 d2.utils.events]: \u001b[0m eta: 0:25:42  iter: 35259  total_loss: 0.2609  loss_cls: 0.02192  loss_box_reg: 0.0444  loss_mask: 0.1356  loss_rpn_cls: 0.001436  loss_rpn_loc: 0.03299  time: 0.3507  data_time: 0.1116  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:50:47 d2.utils.events]: \u001b[0m eta: 0:25:33  iter: 35279  total_loss: 0.2102  loss_cls: 0.01634  loss_box_reg: 0.03798  loss_mask: 0.1263  loss_rpn_cls: 0.001948  loss_rpn_loc: 0.02116  time: 0.3507  data_time: 0.1130  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:50:53 d2.utils.events]: \u001b[0m eta: 0:25:26  iter: 35299  total_loss: 0.174  loss_cls: 0.01546  loss_box_reg: 0.02873  loss_mask: 0.1093  loss_rpn_cls: 0.002069  loss_rpn_loc: 0.01388  time: 0.3507  data_time: 0.1156  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:51:00 d2.utils.events]: \u001b[0m eta: 0:25:20  iter: 35319  total_loss: 0.1807  loss_cls: 0.01382  loss_box_reg: 0.03182  loss_mask: 0.1176  loss_rpn_cls: 0.0004859  loss_rpn_loc: 0.01412  time: 0.3507  data_time: 0.1148  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:51:07 d2.utils.events]: \u001b[0m eta: 0:25:14  iter: 35339  total_loss: 0.1982  loss_cls: 0.02257  loss_box_reg: 0.03953  loss_mask: 0.1144  loss_rpn_cls: 0.001684  loss_rpn_loc: 0.01674  time: 0.3507  data_time: 0.1174  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:51:13 d2.utils.events]: \u001b[0m eta: 0:25:08  iter: 35359  total_loss: 0.2022  loss_cls: 0.01539  loss_box_reg: 0.03174  loss_mask: 0.1181  loss_rpn_cls: 0.001698  loss_rpn_loc: 0.01457  time: 0.3507  data_time: 0.1134  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:51:20 d2.utils.events]: \u001b[0m eta: 0:25:01  iter: 35379  total_loss: 0.1944  loss_cls: 0.01675  loss_box_reg: 0.03189  loss_mask: 0.1031  loss_rpn_cls: 0.002566  loss_rpn_loc: 0.01711  time: 0.3507  data_time: 0.1145  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:51:27 d2.utils.events]: \u001b[0m eta: 0:24:55  iter: 35399  total_loss: 0.1815  loss_cls: 0.01747  loss_box_reg: 0.02936  loss_mask: 0.1112  loss_rpn_cls: 0.0009454  loss_rpn_loc: 0.01577  time: 0.3506  data_time: 0.1138  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:51:33 d2.utils.events]: \u001b[0m eta: 0:24:50  iter: 35419  total_loss: 0.1802  loss_cls: 0.01643  loss_box_reg: 0.03567  loss_mask: 0.1031  loss_rpn_cls: 0.000969  loss_rpn_loc: 0.01835  time: 0.3506  data_time: 0.1151  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:51:40 d2.utils.events]: \u001b[0m eta: 0:24:42  iter: 35439  total_loss: 0.2558  loss_cls: 0.02498  loss_box_reg: 0.05018  loss_mask: 0.1421  loss_rpn_cls: 0.002917  loss_rpn_loc: 0.02679  time: 0.3506  data_time: 0.1129  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:51:46 d2.utils.events]: \u001b[0m eta: 0:24:35  iter: 35459  total_loss: 0.2007  loss_cls: 0.01614  loss_box_reg: 0.04076  loss_mask: 0.1142  loss_rpn_cls: 0.001738  loss_rpn_loc: 0.02378  time: 0.3506  data_time: 0.1138  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:51:53 d2.utils.events]: \u001b[0m eta: 0:24:28  iter: 35479  total_loss: 0.1709  loss_cls: 0.01412  loss_box_reg: 0.03453  loss_mask: 0.1076  loss_rpn_cls: 0.001588  loss_rpn_loc: 0.01718  time: 0.3506  data_time: 0.1133  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:51:59 d2.utils.events]: \u001b[0m eta: 0:24:21  iter: 35499  total_loss: 0.2041  loss_cls: 0.02034  loss_box_reg: 0.03801  loss_mask: 0.1278  loss_rpn_cls: 0.001946  loss_rpn_loc: 0.01901  time: 0.3506  data_time: 0.1135  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:52:06 d2.utils.events]: \u001b[0m eta: 0:24:15  iter: 35519  total_loss: 0.1627  loss_cls: 0.01621  loss_box_reg: 0.03262  loss_mask: 0.09976  loss_rpn_cls: 0.001779  loss_rpn_loc: 0.01347  time: 0.3506  data_time: 0.1113  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:52:12 d2.utils.events]: \u001b[0m eta: 0:24:08  iter: 35539  total_loss: 0.1774  loss_cls: 0.01608  loss_box_reg: 0.03371  loss_mask: 0.1052  loss_rpn_cls: 0.0007931  loss_rpn_loc: 0.01774  time: 0.3505  data_time: 0.1133  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:52:19 d2.utils.events]: \u001b[0m eta: 0:24:00  iter: 35559  total_loss: 0.2172  loss_cls: 0.01761  loss_box_reg: 0.04522  loss_mask: 0.1057  loss_rpn_cls: 0.00173  loss_rpn_loc: 0.02229  time: 0.3505  data_time: 0.1122  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:52:25 d2.utils.events]: \u001b[0m eta: 0:23:54  iter: 35579  total_loss: 0.1672  loss_cls: 0.01755  loss_box_reg: 0.03181  loss_mask: 0.1014  loss_rpn_cls: 0.001809  loss_rpn_loc: 0.01281  time: 0.3505  data_time: 0.1135  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:52:32 d2.utils.events]: \u001b[0m eta: 0:23:47  iter: 35599  total_loss: 0.2193  loss_cls: 0.01961  loss_box_reg: 0.04061  loss_mask: 0.1258  loss_rpn_cls: 0.002499  loss_rpn_loc: 0.02822  time: 0.3505  data_time: 0.1128  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:52:38 d2.utils.events]: \u001b[0m eta: 0:23:39  iter: 35619  total_loss: 0.195  loss_cls: 0.02158  loss_box_reg: 0.03668  loss_mask: 0.1103  loss_rpn_cls: 0.00115  loss_rpn_loc: 0.01793  time: 0.3505  data_time: 0.1124  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:52:44 d2.utils.events]: \u001b[0m eta: 0:23:32  iter: 35639  total_loss: 0.169  loss_cls: 0.01751  loss_box_reg: 0.03409  loss_mask: 0.1022  loss_rpn_cls: 0.000818  loss_rpn_loc: 0.01108  time: 0.3505  data_time: 0.1136  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:52:51 d2.utils.events]: \u001b[0m eta: 0:23:24  iter: 35659  total_loss: 0.2087  loss_cls: 0.02263  loss_box_reg: 0.04526  loss_mask: 0.1166  loss_rpn_cls: 0.001893  loss_rpn_loc: 0.02102  time: 0.3504  data_time: 0.1124  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:52:57 d2.utils.events]: \u001b[0m eta: 0:23:18  iter: 35679  total_loss: 0.1716  loss_cls: 0.01675  loss_box_reg: 0.02994  loss_mask: 0.1044  loss_rpn_cls: 0.001591  loss_rpn_loc: 0.01428  time: 0.3504  data_time: 0.1149  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:53:04 d2.utils.events]: \u001b[0m eta: 0:23:11  iter: 35699  total_loss: 0.202  loss_cls: 0.0223  loss_box_reg: 0.03953  loss_mask: 0.1165  loss_rpn_cls: 0.001853  loss_rpn_loc: 0.02413  time: 0.3504  data_time: 0.1116  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:53:10 d2.utils.events]: \u001b[0m eta: 0:23:04  iter: 35719  total_loss: 0.2073  loss_cls: 0.02131  loss_box_reg: 0.04261  loss_mask: 0.1208  loss_rpn_cls: 0.00301  loss_rpn_loc: 0.02063  time: 0.3504  data_time: 0.1124  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:53:16 d2.utils.events]: \u001b[0m eta: 0:22:56  iter: 35739  total_loss: 0.1969  loss_cls: 0.01778  loss_box_reg: 0.03361  loss_mask: 0.128  loss_rpn_cls: 0.002326  loss_rpn_loc: 0.01672  time: 0.3504  data_time: 0.1137  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:53:23 d2.utils.events]: \u001b[0m eta: 0:22:49  iter: 35759  total_loss: 0.2094  loss_cls: 0.02286  loss_box_reg: 0.04426  loss_mask: 0.1192  loss_rpn_cls: 0.003002  loss_rpn_loc: 0.02  time: 0.3503  data_time: 0.1128  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:53:29 d2.utils.events]: \u001b[0m eta: 0:22:42  iter: 35779  total_loss: 0.2023  loss_cls: 0.01551  loss_box_reg: 0.03753  loss_mask: 0.119  loss_rpn_cls: 0.001456  loss_rpn_loc: 0.01954  time: 0.3503  data_time: 0.1133  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:53:35 d2.utils.events]: \u001b[0m eta: 0:22:34  iter: 35799  total_loss: 0.21  loss_cls: 0.01927  loss_box_reg: 0.03842  loss_mask: 0.1232  loss_rpn_cls: 0.003711  loss_rpn_loc: 0.01889  time: 0.3503  data_time: 0.1131  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:53:42 d2.utils.events]: \u001b[0m eta: 0:22:28  iter: 35819  total_loss: 0.1702  loss_cls: 0.01651  loss_box_reg: 0.03321  loss_mask: 0.1065  loss_rpn_cls: 0.004195  loss_rpn_loc: 0.01337  time: 0.3503  data_time: 0.1129  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:53:48 d2.utils.events]: \u001b[0m eta: 0:22:22  iter: 35839  total_loss: 0.1829  loss_cls: 0.01935  loss_box_reg: 0.04287  loss_mask: 0.1056  loss_rpn_cls: 0.0006343  loss_rpn_loc: 0.01552  time: 0.3503  data_time: 0.1131  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:53:55 d2.utils.events]: \u001b[0m eta: 0:22:15  iter: 35859  total_loss: 0.1879  loss_cls: 0.01848  loss_box_reg: 0.03528  loss_mask: 0.1095  loss_rpn_cls: 0.001547  loss_rpn_loc: 0.01707  time: 0.3503  data_time: 0.1118  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:54:01 d2.utils.events]: \u001b[0m eta: 0:22:08  iter: 35879  total_loss: 0.1951  loss_cls: 0.02036  loss_box_reg: 0.04326  loss_mask: 0.1067  loss_rpn_cls: 0.002028  loss_rpn_loc: 0.01708  time: 0.3502  data_time: 0.1132  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:54:07 d2.utils.events]: \u001b[0m eta: 0:22:01  iter: 35899  total_loss: 0.1684  loss_cls: 0.01376  loss_box_reg: 0.02953  loss_mask: 0.1137  loss_rpn_cls: 0.0009569  loss_rpn_loc: 0.01597  time: 0.3502  data_time: 0.1130  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:54:14 d2.utils.events]: \u001b[0m eta: 0:21:55  iter: 35919  total_loss: 0.1862  loss_cls: 0.01839  loss_box_reg: 0.04116  loss_mask: 0.1168  loss_rpn_cls: 0.002273  loss_rpn_loc: 0.01988  time: 0.3502  data_time: 0.1122  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:54:20 d2.utils.events]: \u001b[0m eta: 0:21:49  iter: 35939  total_loss: 0.2247  loss_cls: 0.01721  loss_box_reg: 0.04047  loss_mask: 0.1215  loss_rpn_cls: 0.0004637  loss_rpn_loc: 0.01603  time: 0.3502  data_time: 0.1114  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:54:27 d2.utils.events]: \u001b[0m eta: 0:21:43  iter: 35959  total_loss: 0.1588  loss_cls: 0.01412  loss_box_reg: 0.03145  loss_mask: 0.1013  loss_rpn_cls: 0.002006  loss_rpn_loc: 0.01586  time: 0.3502  data_time: 0.1129  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:54:33 d2.utils.events]: \u001b[0m eta: 0:21:36  iter: 35979  total_loss: 0.1848  loss_cls: 0.01654  loss_box_reg: 0.0237  loss_mask: 0.1149  loss_rpn_cls: 0.002052  loss_rpn_loc: 0.01434  time: 0.3502  data_time: 0.1121  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:54:39 d2.utils.events]: \u001b[0m eta: 0:21:30  iter: 35999  total_loss: 0.1813  loss_cls: 0.01615  loss_box_reg: 0.03344  loss_mask: 0.1057  loss_rpn_cls: 0.003816  loss_rpn_loc: 0.01876  time: 0.3501  data_time: 0.1129  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:54:46 d2.utils.events]: \u001b[0m eta: 0:21:23  iter: 36019  total_loss: 0.18  loss_cls: 0.01821  loss_box_reg: 0.04128  loss_mask: 0.1135  loss_rpn_cls: 0.001357  loss_rpn_loc: 0.01274  time: 0.3501  data_time: 0.1124  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:54:52 d2.utils.events]: \u001b[0m eta: 0:21:17  iter: 36039  total_loss: 0.203  loss_cls: 0.02261  loss_box_reg: 0.04248  loss_mask: 0.1188  loss_rpn_cls: 0.001572  loss_rpn_loc: 0.01624  time: 0.3501  data_time: 0.1123  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:54:59 d2.utils.events]: \u001b[0m eta: 0:21:10  iter: 36059  total_loss: 0.1889  loss_cls: 0.01538  loss_box_reg: 0.03363  loss_mask: 0.1046  loss_rpn_cls: 0.002566  loss_rpn_loc: 0.01683  time: 0.3501  data_time: 0.1141  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:55:05 d2.utils.events]: \u001b[0m eta: 0:21:04  iter: 36079  total_loss: 0.1828  loss_cls: 0.01578  loss_box_reg: 0.02543  loss_mask: 0.1224  loss_rpn_cls: 0.001474  loss_rpn_loc: 0.01799  time: 0.3501  data_time: 0.1124  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:55:12 d2.utils.events]: \u001b[0m eta: 0:20:58  iter: 36099  total_loss: 0.1644  loss_cls: 0.01252  loss_box_reg: 0.02918  loss_mask: 0.1066  loss_rpn_cls: 0.001827  loss_rpn_loc: 0.01666  time: 0.3501  data_time: 0.1137  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:55:18 d2.utils.events]: \u001b[0m eta: 0:20:51  iter: 36119  total_loss: 0.1654  loss_cls: 0.01591  loss_box_reg: 0.0333  loss_mask: 0.09745  loss_rpn_cls: 0.001339  loss_rpn_loc: 0.01303  time: 0.3500  data_time: 0.1133  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:55:25 d2.utils.events]: \u001b[0m eta: 0:20:46  iter: 36139  total_loss: 0.2259  loss_cls: 0.01698  loss_box_reg: 0.03746  loss_mask: 0.1235  loss_rpn_cls: 0.001586  loss_rpn_loc: 0.02743  time: 0.3500  data_time: 0.1124  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:55:31 d2.utils.events]: \u001b[0m eta: 0:20:41  iter: 36159  total_loss: 0.2176  loss_cls: 0.01921  loss_box_reg: 0.04832  loss_mask: 0.1145  loss_rpn_cls: 0.002706  loss_rpn_loc: 0.01976  time: 0.3500  data_time: 0.1124  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:55:38 d2.utils.events]: \u001b[0m eta: 0:20:34  iter: 36179  total_loss: 0.1807  loss_cls: 0.0147  loss_box_reg: 0.03152  loss_mask: 0.1091  loss_rpn_cls: 0.001261  loss_rpn_loc: 0.01748  time: 0.3500  data_time: 0.1118  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:55:44 d2.utils.events]: \u001b[0m eta: 0:20:29  iter: 36199  total_loss: 0.2243  loss_cls: 0.02349  loss_box_reg: 0.04231  loss_mask: 0.1252  loss_rpn_cls: 0.001592  loss_rpn_loc: 0.02468  time: 0.3500  data_time: 0.1121  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:55:51 d2.utils.events]: \u001b[0m eta: 0:20:21  iter: 36219  total_loss: 0.1516  loss_cls: 0.01661  loss_box_reg: 0.03333  loss_mask: 0.09678  loss_rpn_cls: 0.001139  loss_rpn_loc: 0.01243  time: 0.3500  data_time: 0.1126  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:55:57 d2.utils.events]: \u001b[0m eta: 0:20:15  iter: 36239  total_loss: 0.1847  loss_cls: 0.01905  loss_box_reg: 0.03811  loss_mask: 0.1054  loss_rpn_cls: 0.001136  loss_rpn_loc: 0.01334  time: 0.3500  data_time: 0.1137  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:56:03 d2.utils.events]: \u001b[0m eta: 0:20:09  iter: 36259  total_loss: 0.1728  loss_cls: 0.01479  loss_box_reg: 0.03273  loss_mask: 0.09938  loss_rpn_cls: 0.003662  loss_rpn_loc: 0.01656  time: 0.3499  data_time: 0.1116  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:56:10 d2.utils.events]: \u001b[0m eta: 0:20:03  iter: 36279  total_loss: 0.2307  loss_cls: 0.01737  loss_box_reg: 0.04648  loss_mask: 0.1227  loss_rpn_cls: 0.003455  loss_rpn_loc: 0.017  time: 0.3499  data_time: 0.1122  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:56:16 d2.utils.events]: \u001b[0m eta: 0:19:56  iter: 36299  total_loss: 0.2228  loss_cls: 0.01728  loss_box_reg: 0.04082  loss_mask: 0.1119  loss_rpn_cls: 0.001807  loss_rpn_loc: 0.02201  time: 0.3499  data_time: 0.1116  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:56:23 d2.utils.events]: \u001b[0m eta: 0:19:49  iter: 36319  total_loss: 0.208  loss_cls: 0.02118  loss_box_reg: 0.04176  loss_mask: 0.1349  loss_rpn_cls: 0.001294  loss_rpn_loc: 0.01591  time: 0.3499  data_time: 0.1122  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:56:29 d2.utils.events]: \u001b[0m eta: 0:19:42  iter: 36339  total_loss: 0.2002  loss_cls: 0.01524  loss_box_reg: 0.03158  loss_mask: 0.1189  loss_rpn_cls: 0.000501  loss_rpn_loc: 0.01489  time: 0.3499  data_time: 0.1145  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:56:35 d2.utils.events]: \u001b[0m eta: 0:19:35  iter: 36359  total_loss: 0.2008  loss_cls: 0.01869  loss_box_reg: 0.04417  loss_mask: 0.1103  loss_rpn_cls: 0.001481  loss_rpn_loc: 0.01885  time: 0.3499  data_time: 0.1127  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:56:42 d2.utils.events]: \u001b[0m eta: 0:19:28  iter: 36379  total_loss: 0.205  loss_cls: 0.01865  loss_box_reg: 0.04471  loss_mask: 0.1041  loss_rpn_cls: 0.001476  loss_rpn_loc: 0.02097  time: 0.3498  data_time: 0.1124  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:56:49 d2.utils.events]: \u001b[0m eta: 0:19:22  iter: 36399  total_loss: 0.2074  loss_cls: 0.0183  loss_box_reg: 0.03606  loss_mask: 0.1158  loss_rpn_cls: 0.0009306  loss_rpn_loc: 0.02184  time: 0.3498  data_time: 0.1134  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:56:55 d2.utils.events]: \u001b[0m eta: 0:19:14  iter: 36419  total_loss: 0.1981  loss_cls: 0.01782  loss_box_reg: 0.0391  loss_mask: 0.1218  loss_rpn_cls: 0.001134  loss_rpn_loc: 0.01868  time: 0.3498  data_time: 0.1131  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:57:02 d2.utils.events]: \u001b[0m eta: 0:19:09  iter: 36439  total_loss: 0.1692  loss_cls: 0.01581  loss_box_reg: 0.03011  loss_mask: 0.1043  loss_rpn_cls: 0.000595  loss_rpn_loc: 0.01216  time: 0.3498  data_time: 0.1142  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:57:08 d2.utils.events]: \u001b[0m eta: 0:19:01  iter: 36459  total_loss: 0.2142  loss_cls: 0.0208  loss_box_reg: 0.04847  loss_mask: 0.1338  loss_rpn_cls: 0.001375  loss_rpn_loc: 0.02763  time: 0.3498  data_time: 0.1128  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:57:15 d2.utils.events]: \u001b[0m eta: 0:18:56  iter: 36479  total_loss: 0.1856  loss_cls: 0.01897  loss_box_reg: 0.03766  loss_mask: 0.1125  loss_rpn_cls: 0.0004608  loss_rpn_loc: 0.01661  time: 0.3498  data_time: 0.1148  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:57:21 d2.utils.events]: \u001b[0m eta: 0:18:49  iter: 36499  total_loss: 0.2126  loss_cls: 0.01939  loss_box_reg: 0.03906  loss_mask: 0.1203  loss_rpn_cls: 0.001807  loss_rpn_loc: 0.01856  time: 0.3498  data_time: 0.1129  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:57:28 d2.utils.events]: \u001b[0m eta: 0:18:42  iter: 36519  total_loss: 0.1898  loss_cls: 0.01634  loss_box_reg: 0.03037  loss_mask: 0.1071  loss_rpn_cls: 0.001035  loss_rpn_loc: 0.01747  time: 0.3498  data_time: 0.1140  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:57:34 d2.utils.events]: \u001b[0m eta: 0:18:35  iter: 36539  total_loss: 0.1633  loss_cls: 0.0154  loss_box_reg: 0.03268  loss_mask: 0.1004  loss_rpn_cls: 0.001406  loss_rpn_loc: 0.01558  time: 0.3497  data_time: 0.1132  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:57:41 d2.utils.events]: \u001b[0m eta: 0:18:29  iter: 36559  total_loss: 0.1899  loss_cls: 0.01994  loss_box_reg: 0.0437  loss_mask: 0.1218  loss_rpn_cls: 0.0009329  loss_rpn_loc: 0.0138  time: 0.3497  data_time: 0.1129  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:57:47 d2.utils.events]: \u001b[0m eta: 0:18:23  iter: 36579  total_loss: 0.2033  loss_cls: 0.01505  loss_box_reg: 0.03744  loss_mask: 0.1205  loss_rpn_cls: 0.001974  loss_rpn_loc: 0.02343  time: 0.3497  data_time: 0.1135  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:57:54 d2.utils.events]: \u001b[0m eta: 0:18:16  iter: 36599  total_loss: 0.1557  loss_cls: 0.01546  loss_box_reg: 0.03081  loss_mask: 0.09303  loss_rpn_cls: 0.002006  loss_rpn_loc: 0.01303  time: 0.3497  data_time: 0.1143  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:58:01 d2.utils.events]: \u001b[0m eta: 0:18:11  iter: 36619  total_loss: 0.1968  loss_cls: 0.01944  loss_box_reg: 0.04188  loss_mask: 0.1109  loss_rpn_cls: 0.001713  loss_rpn_loc: 0.01947  time: 0.3497  data_time: 0.1149  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:58:07 d2.utils.events]: \u001b[0m eta: 0:18:06  iter: 36639  total_loss: 0.183  loss_cls: 0.01327  loss_box_reg: 0.02889  loss_mask: 0.1107  loss_rpn_cls: 0.0007869  loss_rpn_loc: 0.01463  time: 0.3497  data_time: 0.1135  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:58:14 d2.utils.events]: \u001b[0m eta: 0:18:00  iter: 36659  total_loss: 0.1927  loss_cls: 0.02091  loss_box_reg: 0.03946  loss_mask: 0.1195  loss_rpn_cls: 0.0007942  loss_rpn_loc: 0.02017  time: 0.3497  data_time: 0.1147  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:58:20 d2.utils.events]: \u001b[0m eta: 0:17:54  iter: 36679  total_loss: 0.2303  loss_cls: 0.02185  loss_box_reg: 0.04827  loss_mask: 0.1188  loss_rpn_cls: 0.003604  loss_rpn_loc: 0.02834  time: 0.3497  data_time: 0.1141  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:58:27 d2.utils.events]: \u001b[0m eta: 0:17:49  iter: 36699  total_loss: 0.2087  loss_cls: 0.01992  loss_box_reg: 0.04191  loss_mask: 0.121  loss_rpn_cls: 0.001587  loss_rpn_loc: 0.02019  time: 0.3497  data_time: 0.1128  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:58:34 d2.utils.events]: \u001b[0m eta: 0:17:44  iter: 36719  total_loss: 0.1639  loss_cls: 0.01459  loss_box_reg: 0.02778  loss_mask: 0.0991  loss_rpn_cls: 0.0009569  loss_rpn_loc: 0.01435  time: 0.3496  data_time: 0.1138  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:58:40 d2.utils.events]: \u001b[0m eta: 0:17:38  iter: 36739  total_loss: 0.235  loss_cls: 0.02053  loss_box_reg: 0.04335  loss_mask: 0.11  loss_rpn_cls: 0.003517  loss_rpn_loc: 0.01956  time: 0.3496  data_time: 0.1145  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:58:47 d2.utils.events]: \u001b[0m eta: 0:17:32  iter: 36759  total_loss: 0.1731  loss_cls: 0.01511  loss_box_reg: 0.03617  loss_mask: 0.109  loss_rpn_cls: 0.0003458  loss_rpn_loc: 0.0129  time: 0.3496  data_time: 0.1138  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:58:54 d2.utils.events]: \u001b[0m eta: 0:17:27  iter: 36779  total_loss: 0.1645  loss_cls: 0.01483  loss_box_reg: 0.03733  loss_mask: 0.1062  loss_rpn_cls: 0.002227  loss_rpn_loc: 0.01708  time: 0.3496  data_time: 0.1134  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:59:00 d2.utils.events]: \u001b[0m eta: 0:17:21  iter: 36799  total_loss: 0.2064  loss_cls: 0.01555  loss_box_reg: 0.03409  loss_mask: 0.1182  loss_rpn_cls: 0.0008308  loss_rpn_loc: 0.01645  time: 0.3496  data_time: 0.1134  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:59:07 d2.utils.events]: \u001b[0m eta: 0:17:15  iter: 36819  total_loss: 0.1943  loss_cls: 0.01857  loss_box_reg: 0.03481  loss_mask: 0.1188  loss_rpn_cls: 0.00131  loss_rpn_loc: 0.01422  time: 0.3496  data_time: 0.1125  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:59:14 d2.utils.events]: \u001b[0m eta: 0:17:09  iter: 36839  total_loss: 0.2396  loss_cls: 0.02034  loss_box_reg: 0.04906  loss_mask: 0.1248  loss_rpn_cls: 0.002312  loss_rpn_loc: 0.02426  time: 0.3496  data_time: 0.1135  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:59:21 d2.utils.events]: \u001b[0m eta: 0:17:04  iter: 36859  total_loss: 0.1813  loss_cls: 0.01693  loss_box_reg: 0.03831  loss_mask: 0.1209  loss_rpn_cls: 0.0009171  loss_rpn_loc: 0.01543  time: 0.3496  data_time: 0.1136  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:59:28 d2.utils.events]: \u001b[0m eta: 0:16:58  iter: 36879  total_loss: 0.1753  loss_cls: 0.01988  loss_box_reg: 0.03505  loss_mask: 0.1103  loss_rpn_cls: 0.001124  loss_rpn_loc: 0.01657  time: 0.3496  data_time: 0.1130  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:59:34 d2.utils.events]: \u001b[0m eta: 0:16:52  iter: 36899  total_loss: 0.2027  loss_cls: 0.0224  loss_box_reg: 0.03669  loss_mask: 0.1203  loss_rpn_cls: 0.002487  loss_rpn_loc: 0.02078  time: 0.3496  data_time: 0.1121  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:59:41 d2.utils.events]: \u001b[0m eta: 0:16:46  iter: 36919  total_loss: 0.1858  loss_cls: 0.01401  loss_box_reg: 0.03146  loss_mask: 0.1191  loss_rpn_cls: 0.003443  loss_rpn_loc: 0.01681  time: 0.3496  data_time: 0.1124  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:59:47 d2.utils.events]: \u001b[0m eta: 0:16:40  iter: 36939  total_loss: 0.1639  loss_cls: 0.01426  loss_box_reg: 0.03025  loss_mask: 0.1068  loss_rpn_cls: 0.001115  loss_rpn_loc: 0.01405  time: 0.3495  data_time: 0.1133  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 12:59:54 d2.utils.events]: \u001b[0m eta: 0:16:35  iter: 36959  total_loss: 0.213  loss_cls: 0.02084  loss_box_reg: 0.04275  loss_mask: 0.1177  loss_rpn_cls: 0.001707  loss_rpn_loc: 0.02041  time: 0.3495  data_time: 0.1141  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:00:01 d2.utils.events]: \u001b[0m eta: 0:16:29  iter: 36979  total_loss: 0.1855  loss_cls: 0.01382  loss_box_reg: 0.03524  loss_mask: 0.1098  loss_rpn_cls: 0.001208  loss_rpn_loc: 0.01049  time: 0.3495  data_time: 0.1138  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:00:08 d2.utils.events]: \u001b[0m eta: 0:16:24  iter: 36999  total_loss: 0.2278  loss_cls: 0.02323  loss_box_reg: 0.04933  loss_mask: 0.1099  loss_rpn_cls: 0.0017  loss_rpn_loc: 0.02037  time: 0.3495  data_time: 0.1133  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:00:15 d2.utils.events]: \u001b[0m eta: 0:16:19  iter: 37019  total_loss: 0.1584  loss_cls: 0.01584  loss_box_reg: 0.03057  loss_mask: 0.1002  loss_rpn_cls: 0.0009192  loss_rpn_loc: 0.01051  time: 0.3495  data_time: 0.1133  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:00:21 d2.utils.events]: \u001b[0m eta: 0:16:13  iter: 37039  total_loss: 0.1812  loss_cls: 0.01609  loss_box_reg: 0.02885  loss_mask: 0.1011  loss_rpn_cls: 0.0007143  loss_rpn_loc: 0.01808  time: 0.3495  data_time: 0.1147  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:00:28 d2.utils.events]: \u001b[0m eta: 0:16:08  iter: 37059  total_loss: 0.18  loss_cls: 0.0163  loss_box_reg: 0.0337  loss_mask: 0.1027  loss_rpn_cls: 0.0006606  loss_rpn_loc: 0.01132  time: 0.3495  data_time: 0.1139  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:00:35 d2.utils.events]: \u001b[0m eta: 0:16:02  iter: 37079  total_loss: 0.1926  loss_cls: 0.01576  loss_box_reg: 0.03979  loss_mask: 0.1111  loss_rpn_cls: 0.002914  loss_rpn_loc: 0.01632  time: 0.3495  data_time: 0.1134  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:00:41 d2.utils.events]: \u001b[0m eta: 0:15:55  iter: 37099  total_loss: 0.1975  loss_cls: 0.01828  loss_box_reg: 0.04095  loss_mask: 0.1117  loss_rpn_cls: 0.00236  loss_rpn_loc: 0.02164  time: 0.3495  data_time: 0.1119  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:00:48 d2.utils.events]: \u001b[0m eta: 0:15:48  iter: 37119  total_loss: 0.2055  loss_cls: 0.0183  loss_box_reg: 0.03694  loss_mask: 0.123  loss_rpn_cls: 0.002055  loss_rpn_loc: 0.02085  time: 0.3495  data_time: 0.1141  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:00:54 d2.utils.events]: \u001b[0m eta: 0:15:41  iter: 37139  total_loss: 0.1943  loss_cls: 0.01864  loss_box_reg: 0.03268  loss_mask: 0.1148  loss_rpn_cls: 0.001086  loss_rpn_loc: 0.01824  time: 0.3495  data_time: 0.1152  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:01:00 d2.utils.events]: \u001b[0m eta: 0:15:33  iter: 37159  total_loss: 0.1947  loss_cls: 0.01736  loss_box_reg: 0.03477  loss_mask: 0.1111  loss_rpn_cls: 0.001665  loss_rpn_loc: 0.02094  time: 0.3494  data_time: 0.1147  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:01:07 d2.utils.events]: \u001b[0m eta: 0:15:26  iter: 37179  total_loss: 0.2041  loss_cls: 0.01772  loss_box_reg: 0.04183  loss_mask: 0.1166  loss_rpn_cls: 0.001135  loss_rpn_loc: 0.02242  time: 0.3494  data_time: 0.1123  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:01:13 d2.utils.events]: \u001b[0m eta: 0:15:18  iter: 37199  total_loss: 0.1949  loss_cls: 0.01515  loss_box_reg: 0.03905  loss_mask: 0.1137  loss_rpn_cls: 0.002203  loss_rpn_loc: 0.01454  time: 0.3494  data_time: 0.1133  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:01:20 d2.utils.events]: \u001b[0m eta: 0:15:12  iter: 37219  total_loss: 0.2177  loss_cls: 0.02113  loss_box_reg: 0.0423  loss_mask: 0.1355  loss_rpn_cls: 0.00279  loss_rpn_loc: 0.02313  time: 0.3494  data_time: 0.1122  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:01:26 d2.utils.events]: \u001b[0m eta: 0:15:05  iter: 37239  total_loss: 0.2014  loss_cls: 0.02102  loss_box_reg: 0.04053  loss_mask: 0.1178  loss_rpn_cls: 0.002153  loss_rpn_loc: 0.02064  time: 0.3494  data_time: 0.1124  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:01:32 d2.utils.events]: \u001b[0m eta: 0:14:59  iter: 37259  total_loss: 0.1793  loss_cls: 0.01745  loss_box_reg: 0.03553  loss_mask: 0.1141  loss_rpn_cls: 0.001338  loss_rpn_loc: 0.02387  time: 0.3494  data_time: 0.1122  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:01:39 d2.utils.events]: \u001b[0m eta: 0:14:52  iter: 37279  total_loss: 0.2011  loss_cls: 0.01825  loss_box_reg: 0.04516  loss_mask: 0.1094  loss_rpn_cls: 0.001204  loss_rpn_loc: 0.01531  time: 0.3493  data_time: 0.1120  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:01:45 d2.utils.events]: \u001b[0m eta: 0:14:46  iter: 37299  total_loss: 0.1943  loss_cls: 0.01754  loss_box_reg: 0.03407  loss_mask: 0.1011  loss_rpn_cls: 0.001021  loss_rpn_loc: 0.01251  time: 0.3493  data_time: 0.1136  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:01:52 d2.utils.events]: \u001b[0m eta: 0:14:39  iter: 37319  total_loss: 0.1746  loss_cls: 0.01707  loss_box_reg: 0.03654  loss_mask: 0.09515  loss_rpn_cls: 0.00152  loss_rpn_loc: 0.01371  time: 0.3493  data_time: 0.1119  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:01:58 d2.utils.events]: \u001b[0m eta: 0:14:33  iter: 37339  total_loss: 0.1828  loss_cls: 0.02042  loss_box_reg: 0.03959  loss_mask: 0.1052  loss_rpn_cls: 0.0005631  loss_rpn_loc: 0.01268  time: 0.3493  data_time: 0.1127  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:02:05 d2.utils.events]: \u001b[0m eta: 0:14:25  iter: 37359  total_loss: 0.2019  loss_cls: 0.01691  loss_box_reg: 0.03951  loss_mask: 0.1089  loss_rpn_cls: 0.0008951  loss_rpn_loc: 0.02307  time: 0.3493  data_time: 0.1123  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:02:11 d2.utils.events]: \u001b[0m eta: 0:14:19  iter: 37379  total_loss: 0.2002  loss_cls: 0.02029  loss_box_reg: 0.03956  loss_mask: 0.1161  loss_rpn_cls: 0.00212  loss_rpn_loc: 0.02004  time: 0.3493  data_time: 0.1135  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:02:17 d2.utils.events]: \u001b[0m eta: 0:14:12  iter: 37399  total_loss: 0.2019  loss_cls: 0.0173  loss_box_reg: 0.03746  loss_mask: 0.1194  loss_rpn_cls: 0.001223  loss_rpn_loc: 0.0177  time: 0.3493  data_time: 0.1132  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:02:24 d2.utils.events]: \u001b[0m eta: 0:14:05  iter: 37419  total_loss: 0.1744  loss_cls: 0.01773  loss_box_reg: 0.03834  loss_mask: 0.1077  loss_rpn_cls: 0.001574  loss_rpn_loc: 0.01992  time: 0.3492  data_time: 0.1125  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:02:31 d2.utils.events]: \u001b[0m eta: 0:13:58  iter: 37439  total_loss: 0.1916  loss_cls: 0.01997  loss_box_reg: 0.04089  loss_mask: 0.09774  loss_rpn_cls: 0.001188  loss_rpn_loc: 0.0151  time: 0.3492  data_time: 0.1130  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:02:37 d2.utils.events]: \u001b[0m eta: 0:13:51  iter: 37459  total_loss: 0.1892  loss_cls: 0.0201  loss_box_reg: 0.04317  loss_mask: 0.1202  loss_rpn_cls: 0.001956  loss_rpn_loc: 0.01842  time: 0.3492  data_time: 0.1131  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:02:43 d2.utils.events]: \u001b[0m eta: 0:13:45  iter: 37479  total_loss: 0.1889  loss_cls: 0.0149  loss_box_reg: 0.03371  loss_mask: 0.0919  loss_rpn_cls: 0.002237  loss_rpn_loc: 0.01493  time: 0.3492  data_time: 0.1132  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:02:50 d2.utils.events]: \u001b[0m eta: 0:13:38  iter: 37499  total_loss: 0.2269  loss_cls: 0.02336  loss_box_reg: 0.04389  loss_mask: 0.1255  loss_rpn_cls: 0.002254  loss_rpn_loc: 0.02015  time: 0.3492  data_time: 0.1125  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:02:56 d2.utils.events]: \u001b[0m eta: 0:13:31  iter: 37519  total_loss: 0.2209  loss_cls: 0.01951  loss_box_reg: 0.04118  loss_mask: 0.1189  loss_rpn_cls: 0.002449  loss_rpn_loc: 0.01775  time: 0.3492  data_time: 0.1137  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:03:03 d2.utils.events]: \u001b[0m eta: 0:13:26  iter: 37539  total_loss: 0.1824  loss_cls: 0.01415  loss_box_reg: 0.0302  loss_mask: 0.1092  loss_rpn_cls: 0.001198  loss_rpn_loc: 0.01579  time: 0.3492  data_time: 0.1140  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:03:10 d2.utils.events]: \u001b[0m eta: 0:13:20  iter: 37559  total_loss: 0.2052  loss_cls: 0.02033  loss_box_reg: 0.04259  loss_mask: 0.1121  loss_rpn_cls: 0.002051  loss_rpn_loc: 0.01659  time: 0.3492  data_time: 0.1128  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:03:17 d2.utils.events]: \u001b[0m eta: 0:13:14  iter: 37579  total_loss: 0.1982  loss_cls: 0.01445  loss_box_reg: 0.03873  loss_mask: 0.1191  loss_rpn_cls: 0.001089  loss_rpn_loc: 0.01872  time: 0.3492  data_time: 0.1124  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:03:24 d2.utils.events]: \u001b[0m eta: 0:13:09  iter: 37599  total_loss: 0.193  loss_cls: 0.01461  loss_box_reg: 0.03308  loss_mask: 0.1166  loss_rpn_cls: 0.002624  loss_rpn_loc: 0.02286  time: 0.3492  data_time: 0.1136  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:03:31 d2.utils.events]: \u001b[0m eta: 0:13:02  iter: 37619  total_loss: 0.201  loss_cls: 0.01662  loss_box_reg: 0.03418  loss_mask: 0.1175  loss_rpn_cls: 0.0009898  loss_rpn_loc: 0.01535  time: 0.3492  data_time: 0.1136  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:03:38 d2.utils.events]: \u001b[0m eta: 0:12:56  iter: 37639  total_loss: 0.184  loss_cls: 0.01741  loss_box_reg: 0.03525  loss_mask: 0.1058  loss_rpn_cls: 0.00198  loss_rpn_loc: 0.02193  time: 0.3492  data_time: 0.1138  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:03:44 d2.utils.events]: \u001b[0m eta: 0:12:49  iter: 37659  total_loss: 0.1794  loss_cls: 0.0174  loss_box_reg: 0.03213  loss_mask: 0.1119  loss_rpn_cls: 0.0008848  loss_rpn_loc: 0.01875  time: 0.3491  data_time: 0.1129  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:03:51 d2.utils.events]: \u001b[0m eta: 0:12:42  iter: 37679  total_loss: 0.1896  loss_cls: 0.01861  loss_box_reg: 0.04224  loss_mask: 0.1092  loss_rpn_cls: 0.001252  loss_rpn_loc: 0.0152  time: 0.3491  data_time: 0.1118  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:03:57 d2.utils.events]: \u001b[0m eta: 0:12:35  iter: 37699  total_loss: 0.1763  loss_cls: 0.01971  loss_box_reg: 0.03002  loss_mask: 0.1091  loss_rpn_cls: 0.001466  loss_rpn_loc: 0.01701  time: 0.3491  data_time: 0.1125  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:04:03 d2.utils.events]: \u001b[0m eta: 0:12:28  iter: 37719  total_loss: 0.1889  loss_cls: 0.01579  loss_box_reg: 0.03427  loss_mask: 0.1246  loss_rpn_cls: 0.00144  loss_rpn_loc: 0.01413  time: 0.3491  data_time: 0.1132  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:04:10 d2.utils.events]: \u001b[0m eta: 0:12:21  iter: 37739  total_loss: 0.1651  loss_cls: 0.01582  loss_box_reg: 0.029  loss_mask: 0.09275  loss_rpn_cls: 0.0008788  loss_rpn_loc: 0.01517  time: 0.3491  data_time: 0.1130  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:04:16 d2.utils.events]: \u001b[0m eta: 0:12:15  iter: 37759  total_loss: 0.1929  loss_cls: 0.0198  loss_box_reg: 0.04168  loss_mask: 0.1166  loss_rpn_cls: 0.000761  loss_rpn_loc: 0.01316  time: 0.3491  data_time: 0.1135  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:04:23 d2.utils.events]: \u001b[0m eta: 0:12:08  iter: 37779  total_loss: 0.2036  loss_cls: 0.01994  loss_box_reg: 0.03418  loss_mask: 0.123  loss_rpn_cls: 0.001421  loss_rpn_loc: 0.02032  time: 0.3491  data_time: 0.1133  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:04:30 d2.utils.events]: \u001b[0m eta: 0:12:02  iter: 37799  total_loss: 0.1866  loss_cls: 0.01345  loss_box_reg: 0.03904  loss_mask: 0.1145  loss_rpn_cls: 0.001182  loss_rpn_loc: 0.0252  time: 0.3491  data_time: 0.1139  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:04:37 d2.utils.events]: \u001b[0m eta: 0:11:56  iter: 37819  total_loss: 0.245  loss_cls: 0.01733  loss_box_reg: 0.04031  loss_mask: 0.1299  loss_rpn_cls: 0.001396  loss_rpn_loc: 0.02691  time: 0.3491  data_time: 0.1137  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:04:43 d2.utils.events]: \u001b[0m eta: 0:11:49  iter: 37839  total_loss: 0.176  loss_cls: 0.01522  loss_box_reg: 0.03425  loss_mask: 0.1055  loss_rpn_cls: 0.001146  loss_rpn_loc: 0.01576  time: 0.3490  data_time: 0.1139  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:04:50 d2.utils.events]: \u001b[0m eta: 0:11:42  iter: 37859  total_loss: 0.151  loss_cls: 0.01637  loss_box_reg: 0.03187  loss_mask: 0.09591  loss_rpn_cls: 0.0023  loss_rpn_loc: 0.009716  time: 0.3490  data_time: 0.1137  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:04:56 d2.utils.events]: \u001b[0m eta: 0:11:35  iter: 37879  total_loss: 0.2155  loss_cls: 0.02207  loss_box_reg: 0.04762  loss_mask: 0.1209  loss_rpn_cls: 0.002302  loss_rpn_loc: 0.02539  time: 0.3490  data_time: 0.1128  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:05:03 d2.utils.events]: \u001b[0m eta: 0:11:29  iter: 37899  total_loss: 0.195  loss_cls: 0.01673  loss_box_reg: 0.028  loss_mask: 0.1158  loss_rpn_cls: 0.0008143  loss_rpn_loc: 0.01771  time: 0.3490  data_time: 0.1122  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:05:09 d2.utils.events]: \u001b[0m eta: 0:11:22  iter: 37919  total_loss: 0.1788  loss_cls: 0.01703  loss_box_reg: 0.03076  loss_mask: 0.1086  loss_rpn_cls: 0.001193  loss_rpn_loc: 0.01686  time: 0.3490  data_time: 0.1120  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:05:16 d2.utils.events]: \u001b[0m eta: 0:11:15  iter: 37939  total_loss: 0.1979  loss_cls: 0.01546  loss_box_reg: 0.03492  loss_mask: 0.1161  loss_rpn_cls: 0.002002  loss_rpn_loc: 0.01723  time: 0.3490  data_time: 0.1117  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:05:22 d2.utils.events]: \u001b[0m eta: 0:11:08  iter: 37959  total_loss: 0.1777  loss_cls: 0.01898  loss_box_reg: 0.05028  loss_mask: 0.1003  loss_rpn_cls: 0.002343  loss_rpn_loc: 0.01382  time: 0.3490  data_time: 0.1151  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:05:29 d2.utils.events]: \u001b[0m eta: 0:11:02  iter: 37979  total_loss: 0.2005  loss_cls: 0.01955  loss_box_reg: 0.03774  loss_mask: 0.1147  loss_rpn_cls: 0.001146  loss_rpn_loc: 0.02015  time: 0.3490  data_time: 0.1136  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:05:36 d2.utils.events]: \u001b[0m eta: 0:10:55  iter: 37999  total_loss: 0.1817  loss_cls: 0.01991  loss_box_reg: 0.04034  loss_mask: 0.1061  loss_rpn_cls: 0.001036  loss_rpn_loc: 0.01707  time: 0.3489  data_time: 0.1138  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:05:42 d2.utils.events]: \u001b[0m eta: 0:10:47  iter: 38019  total_loss: 0.1839  loss_cls: 0.0167  loss_box_reg: 0.03215  loss_mask: 0.1243  loss_rpn_cls: 0.001373  loss_rpn_loc: 0.02684  time: 0.3489  data_time: 0.1132  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:05:48 d2.utils.events]: \u001b[0m eta: 0:10:41  iter: 38039  total_loss: 0.1914  loss_cls: 0.02012  loss_box_reg: 0.03716  loss_mask: 0.1187  loss_rpn_cls: 0.00113  loss_rpn_loc: 0.01716  time: 0.3489  data_time: 0.1120  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:05:55 d2.utils.events]: \u001b[0m eta: 0:10:33  iter: 38059  total_loss: 0.1847  loss_cls: 0.01336  loss_box_reg: 0.031  loss_mask: 0.1126  loss_rpn_cls: 0.001847  loss_rpn_loc: 0.02042  time: 0.3489  data_time: 0.1123  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:06:01 d2.utils.events]: \u001b[0m eta: 0:10:26  iter: 38079  total_loss: 0.1896  loss_cls: 0.0183  loss_box_reg: 0.03566  loss_mask: 0.1231  loss_rpn_cls: 0.001324  loss_rpn_loc: 0.01629  time: 0.3489  data_time: 0.1125  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:06:08 d2.utils.events]: \u001b[0m eta: 0:10:19  iter: 38099  total_loss: 0.2095  loss_cls: 0.01713  loss_box_reg: 0.03747  loss_mask: 0.1308  loss_rpn_cls: 0.001151  loss_rpn_loc: 0.0212  time: 0.3489  data_time: 0.1125  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:06:14 d2.utils.events]: \u001b[0m eta: 0:10:13  iter: 38119  total_loss: 0.189  loss_cls: 0.01828  loss_box_reg: 0.03738  loss_mask: 0.1115  loss_rpn_cls: 0.002186  loss_rpn_loc: 0.02169  time: 0.3489  data_time: 0.1127  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:06:21 d2.utils.events]: \u001b[0m eta: 0:10:07  iter: 38139  total_loss: 0.1822  loss_cls: 0.0174  loss_box_reg: 0.03968  loss_mask: 0.1167  loss_rpn_cls: 0.0006046  loss_rpn_loc: 0.01068  time: 0.3488  data_time: 0.1133  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:06:27 d2.utils.events]: \u001b[0m eta: 0:10:00  iter: 38159  total_loss: 0.1764  loss_cls: 0.01772  loss_box_reg: 0.0401  loss_mask: 0.12  loss_rpn_cls: 0.001069  loss_rpn_loc: 0.01863  time: 0.3488  data_time: 0.1123  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:06:33 d2.utils.events]: \u001b[0m eta: 0:09:54  iter: 38179  total_loss: 0.166  loss_cls: 0.01489  loss_box_reg: 0.03086  loss_mask: 0.1056  loss_rpn_cls: 0.0009902  loss_rpn_loc: 0.0171  time: 0.3488  data_time: 0.1118  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:06:40 d2.utils.events]: \u001b[0m eta: 0:09:47  iter: 38199  total_loss: 0.1593  loss_cls: 0.01405  loss_box_reg: 0.02699  loss_mask: 0.1001  loss_rpn_cls: 0.000803  loss_rpn_loc: 0.01565  time: 0.3488  data_time: 0.1122  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:06:46 d2.utils.events]: \u001b[0m eta: 0:09:41  iter: 38219  total_loss: 0.1928  loss_cls: 0.01311  loss_box_reg: 0.03904  loss_mask: 0.113  loss_rpn_cls: 0.002035  loss_rpn_loc: 0.02183  time: 0.3488  data_time: 0.1139  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:06:53 d2.utils.events]: \u001b[0m eta: 0:09:34  iter: 38239  total_loss: 0.1981  loss_cls: 0.01507  loss_box_reg: 0.0373  loss_mask: 0.1152  loss_rpn_cls: 0.001313  loss_rpn_loc: 0.0175  time: 0.3488  data_time: 0.1136  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:06:59 d2.utils.events]: \u001b[0m eta: 0:09:29  iter: 38259  total_loss: 0.232  loss_cls: 0.01918  loss_box_reg: 0.03895  loss_mask: 0.1221  loss_rpn_cls: 0.002041  loss_rpn_loc: 0.01884  time: 0.3488  data_time: 0.1146  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:07:06 d2.utils.events]: \u001b[0m eta: 0:09:22  iter: 38279  total_loss: 0.153  loss_cls: 0.01724  loss_box_reg: 0.02859  loss_mask: 0.09716  loss_rpn_cls: 0.001666  loss_rpn_loc: 0.0116  time: 0.3487  data_time: 0.1124  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:07:12 d2.utils.events]: \u001b[0m eta: 0:09:15  iter: 38299  total_loss: 0.2255  loss_cls: 0.01989  loss_box_reg: 0.05137  loss_mask: 0.131  loss_rpn_cls: 0.003211  loss_rpn_loc: 0.02273  time: 0.3487  data_time: 0.1115  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:07:19 d2.utils.events]: \u001b[0m eta: 0:09:09  iter: 38319  total_loss: 0.2018  loss_cls: 0.02015  loss_box_reg: 0.04861  loss_mask: 0.109  loss_rpn_cls: 0.001469  loss_rpn_loc: 0.01661  time: 0.3487  data_time: 0.1130  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:07:25 d2.utils.events]: \u001b[0m eta: 0:09:02  iter: 38339  total_loss: 0.2023  loss_cls: 0.01601  loss_box_reg: 0.0345  loss_mask: 0.1333  loss_rpn_cls: 0.001422  loss_rpn_loc: 0.01928  time: 0.3487  data_time: 0.1124  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:07:32 d2.utils.events]: \u001b[0m eta: 0:08:56  iter: 38359  total_loss: 0.185  loss_cls: 0.02106  loss_box_reg: 0.04101  loss_mask: 0.1076  loss_rpn_cls: 0.0006592  loss_rpn_loc: 0.01705  time: 0.3487  data_time: 0.1132  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:07:38 d2.utils.events]: \u001b[0m eta: 0:08:50  iter: 38379  total_loss: 0.1778  loss_cls: 0.02045  loss_box_reg: 0.03693  loss_mask: 0.1024  loss_rpn_cls: 0.001324  loss_rpn_loc: 0.01758  time: 0.3487  data_time: 0.1131  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:07:45 d2.utils.events]: \u001b[0m eta: 0:08:43  iter: 38399  total_loss: 0.1943  loss_cls: 0.02241  loss_box_reg: 0.03753  loss_mask: 0.1081  loss_rpn_cls: 0.001889  loss_rpn_loc: 0.01667  time: 0.3487  data_time: 0.1115  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:07:51 d2.utils.events]: \u001b[0m eta: 0:08:36  iter: 38419  total_loss: 0.1698  loss_cls: 0.01562  loss_box_reg: 0.03361  loss_mask: 0.1067  loss_rpn_cls: 0.001429  loss_rpn_loc: 0.01592  time: 0.3487  data_time: 0.1116  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:07:58 d2.utils.events]: \u001b[0m eta: 0:08:30  iter: 38439  total_loss: 0.2108  loss_cls: 0.02229  loss_box_reg: 0.04553  loss_mask: 0.1192  loss_rpn_cls: 0.001839  loss_rpn_loc: 0.02331  time: 0.3486  data_time: 0.1123  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:08:04 d2.utils.events]: \u001b[0m eta: 0:08:23  iter: 38459  total_loss: 0.2013  loss_cls: 0.01865  loss_box_reg: 0.03785  loss_mask: 0.1162  loss_rpn_cls: 0.00192  loss_rpn_loc: 0.01782  time: 0.3486  data_time: 0.1124  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:08:11 d2.utils.events]: \u001b[0m eta: 0:08:17  iter: 38479  total_loss: 0.1496  loss_cls: 0.01619  loss_box_reg: 0.03117  loss_mask: 0.09194  loss_rpn_cls: 0.001027  loss_rpn_loc: 0.01245  time: 0.3486  data_time: 0.1132  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:08:17 d2.utils.events]: \u001b[0m eta: 0:08:10  iter: 38499  total_loss: 0.1629  loss_cls: 0.01285  loss_box_reg: 0.03129  loss_mask: 0.09912  loss_rpn_cls: 0.000471  loss_rpn_loc: 0.01517  time: 0.3486  data_time: 0.1119  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:08:24 d2.utils.events]: \u001b[0m eta: 0:08:04  iter: 38519  total_loss: 0.1786  loss_cls: 0.01549  loss_box_reg: 0.02629  loss_mask: 0.1087  loss_rpn_cls: 0.0009093  loss_rpn_loc: 0.01423  time: 0.3486  data_time: 0.1141  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:08:31 d2.utils.events]: \u001b[0m eta: 0:07:57  iter: 38539  total_loss: 0.1582  loss_cls: 0.01352  loss_box_reg: 0.03361  loss_mask: 0.08798  loss_rpn_cls: 0.0004974  loss_rpn_loc: 0.008975  time: 0.3486  data_time: 0.1132  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:08:37 d2.utils.events]: \u001b[0m eta: 0:07:50  iter: 38559  total_loss: 0.2113  loss_cls: 0.01851  loss_box_reg: 0.03578  loss_mask: 0.1335  loss_rpn_cls: 0.003146  loss_rpn_loc: 0.01794  time: 0.3486  data_time: 0.1124  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:08:43 d2.utils.events]: \u001b[0m eta: 0:07:43  iter: 38579  total_loss: 0.2263  loss_cls: 0.01752  loss_box_reg: 0.04079  loss_mask: 0.1248  loss_rpn_cls: 0.002173  loss_rpn_loc: 0.01869  time: 0.3486  data_time: 0.1127  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:08:50 d2.utils.events]: \u001b[0m eta: 0:07:36  iter: 38599  total_loss: 0.2001  loss_cls: 0.02152  loss_box_reg: 0.03852  loss_mask: 0.1068  loss_rpn_cls: 0.00101  loss_rpn_loc: 0.01727  time: 0.3485  data_time: 0.1131  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:08:57 d2.utils.events]: \u001b[0m eta: 0:07:29  iter: 38619  total_loss: 0.2053  loss_cls: 0.02018  loss_box_reg: 0.04066  loss_mask: 0.1179  loss_rpn_cls: 0.002187  loss_rpn_loc: 0.0218  time: 0.3485  data_time: 0.1118  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:09:03 d2.utils.events]: \u001b[0m eta: 0:07:22  iter: 38639  total_loss: 0.2021  loss_cls: 0.01943  loss_box_reg: 0.03633  loss_mask: 0.1178  loss_rpn_cls: 0.001656  loss_rpn_loc: 0.01504  time: 0.3485  data_time: 0.1132  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:09:09 d2.utils.events]: \u001b[0m eta: 0:07:15  iter: 38659  total_loss: 0.2404  loss_cls: 0.02419  loss_box_reg: 0.05393  loss_mask: 0.1341  loss_rpn_cls: 0.00224  loss_rpn_loc: 0.02666  time: 0.3485  data_time: 0.1128  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:09:16 d2.utils.events]: \u001b[0m eta: 0:07:09  iter: 38679  total_loss: 0.2312  loss_cls: 0.02125  loss_box_reg: 0.03976  loss_mask: 0.1149  loss_rpn_cls: 0.001899  loss_rpn_loc: 0.02358  time: 0.3485  data_time: 0.1123  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:09:22 d2.utils.events]: \u001b[0m eta: 0:07:03  iter: 38699  total_loss: 0.1715  loss_cls: 0.01962  loss_box_reg: 0.03614  loss_mask: 0.1016  loss_rpn_cls: 0.002237  loss_rpn_loc: 0.01659  time: 0.3485  data_time: 0.1127  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:09:29 d2.utils.events]: \u001b[0m eta: 0:06:56  iter: 38719  total_loss: 0.1928  loss_cls: 0.01891  loss_box_reg: 0.04125  loss_mask: 0.1133  loss_rpn_cls: 0.001927  loss_rpn_loc: 0.01789  time: 0.3485  data_time: 0.1129  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:09:35 d2.utils.events]: \u001b[0m eta: 0:06:50  iter: 38739  total_loss: 0.1924  loss_cls: 0.01706  loss_box_reg: 0.04227  loss_mask: 0.1144  loss_rpn_cls: 0.0007128  loss_rpn_loc: 0.01309  time: 0.3485  data_time: 0.1136  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:09:42 d2.utils.events]: \u001b[0m eta: 0:06:43  iter: 38759  total_loss: 0.1928  loss_cls: 0.01703  loss_box_reg: 0.04189  loss_mask: 0.1075  loss_rpn_cls: 0.000682  loss_rpn_loc: 0.02121  time: 0.3484  data_time: 0.1145  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:09:48 d2.utils.events]: \u001b[0m eta: 0:06:36  iter: 38779  total_loss: 0.1949  loss_cls: 0.01453  loss_box_reg: 0.03151  loss_mask: 0.1196  loss_rpn_cls: 0.00191  loss_rpn_loc: 0.02449  time: 0.3484  data_time: 0.1115  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:09:54 d2.utils.events]: \u001b[0m eta: 0:06:29  iter: 38799  total_loss: 0.1978  loss_cls: 0.01514  loss_box_reg: 0.03795  loss_mask: 0.1174  loss_rpn_cls: 0.001616  loss_rpn_loc: 0.01673  time: 0.3484  data_time: 0.1132  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:10:01 d2.utils.events]: \u001b[0m eta: 0:06:23  iter: 38819  total_loss: 0.1831  loss_cls: 0.01983  loss_box_reg: 0.03047  loss_mask: 0.1186  loss_rpn_cls: 0.0009895  loss_rpn_loc: 0.01574  time: 0.3484  data_time: 0.1117  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:10:07 d2.utils.events]: \u001b[0m eta: 0:06:16  iter: 38839  total_loss: 0.1967  loss_cls: 0.01951  loss_box_reg: 0.04071  loss_mask: 0.1148  loss_rpn_cls: 0.0009764  loss_rpn_loc: 0.02218  time: 0.3484  data_time: 0.1117  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:10:14 d2.utils.events]: \u001b[0m eta: 0:06:10  iter: 38859  total_loss: 0.1679  loss_cls: 0.01358  loss_box_reg: 0.02701  loss_mask: 0.1045  loss_rpn_cls: 0.001465  loss_rpn_loc: 0.01611  time: 0.3484  data_time: 0.1120  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:10:20 d2.utils.events]: \u001b[0m eta: 0:06:03  iter: 38879  total_loss: 0.1918  loss_cls: 0.02207  loss_box_reg: 0.04875  loss_mask: 0.1038  loss_rpn_cls: 0.001848  loss_rpn_loc: 0.01427  time: 0.3484  data_time: 0.1124  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:10:27 d2.utils.events]: \u001b[0m eta: 0:05:56  iter: 38899  total_loss: 0.2334  loss_cls: 0.02162  loss_box_reg: 0.04589  loss_mask: 0.1217  loss_rpn_cls: 0.002326  loss_rpn_loc: 0.02278  time: 0.3483  data_time: 0.1131  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:10:33 d2.utils.events]: \u001b[0m eta: 0:05:50  iter: 38919  total_loss: 0.2156  loss_cls: 0.01834  loss_box_reg: 0.03906  loss_mask: 0.1247  loss_rpn_cls: 0.0009951  loss_rpn_loc: 0.02301  time: 0.3483  data_time: 0.1139  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:10:40 d2.utils.events]: \u001b[0m eta: 0:05:44  iter: 38939  total_loss: 0.1941  loss_cls: 0.01907  loss_box_reg: 0.03724  loss_mask: 0.1113  loss_rpn_cls: 0.003109  loss_rpn_loc: 0.02361  time: 0.3483  data_time: 0.1137  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:10:47 d2.utils.events]: \u001b[0m eta: 0:05:37  iter: 38959  total_loss: 0.1643  loss_cls: 0.01871  loss_box_reg: 0.0313  loss_mask: 0.1009  loss_rpn_cls: 0.003363  loss_rpn_loc: 0.01451  time: 0.3483  data_time: 0.1140  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:10:53 d2.utils.events]: \u001b[0m eta: 0:05:30  iter: 38979  total_loss: 0.1419  loss_cls: 0.0123  loss_box_reg: 0.03087  loss_mask: 0.09111  loss_rpn_cls: 0.0008207  loss_rpn_loc: 0.01285  time: 0.3483  data_time: 0.1159  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:11:00 d2.utils.events]: \u001b[0m eta: 0:05:24  iter: 38999  total_loss: 0.1866  loss_cls: 0.01944  loss_box_reg: 0.04378  loss_mask: 0.1182  loss_rpn_cls: 0.00111  loss_rpn_loc: 0.01444  time: 0.3483  data_time: 0.1127  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:11:06 d2.utils.events]: \u001b[0m eta: 0:05:18  iter: 39019  total_loss: 0.1614  loss_cls: 0.01518  loss_box_reg: 0.03088  loss_mask: 0.101  loss_rpn_cls: 0.001047  loss_rpn_loc: 0.01419  time: 0.3483  data_time: 0.1125  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:11:13 d2.utils.events]: \u001b[0m eta: 0:05:11  iter: 39039  total_loss: 0.2129  loss_cls: 0.0196  loss_box_reg: 0.04131  loss_mask: 0.1187  loss_rpn_cls: 0.0008453  loss_rpn_loc: 0.01811  time: 0.3483  data_time: 0.1135  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:11:19 d2.utils.events]: \u001b[0m eta: 0:05:05  iter: 39059  total_loss: 0.1815  loss_cls: 0.01794  loss_box_reg: 0.03454  loss_mask: 0.1065  loss_rpn_cls: 0.001079  loss_rpn_loc: 0.0164  time: 0.3483  data_time: 0.1122  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:11:26 d2.utils.events]: \u001b[0m eta: 0:04:58  iter: 39079  total_loss: 0.1985  loss_cls: 0.02118  loss_box_reg: 0.03653  loss_mask: 0.1157  loss_rpn_cls: 0.002519  loss_rpn_loc: 0.01751  time: 0.3482  data_time: 0.1125  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:11:32 d2.utils.events]: \u001b[0m eta: 0:04:52  iter: 39099  total_loss: 0.1847  loss_cls: 0.01927  loss_box_reg: 0.04081  loss_mask: 0.1002  loss_rpn_cls: 0.000941  loss_rpn_loc: 0.01836  time: 0.3482  data_time: 0.1124  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:11:39 d2.utils.events]: \u001b[0m eta: 0:04:45  iter: 39119  total_loss: 0.1711  loss_cls: 0.01795  loss_box_reg: 0.03633  loss_mask: 0.1056  loss_rpn_cls: 0.0006621  loss_rpn_loc: 0.01493  time: 0.3482  data_time: 0.1119  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:11:46 d2.utils.events]: \u001b[0m eta: 0:04:39  iter: 39139  total_loss: 0.1592  loss_cls: 0.01463  loss_box_reg: 0.03259  loss_mask: 0.09546  loss_rpn_cls: 0.0006081  loss_rpn_loc: 0.01398  time: 0.3482  data_time: 0.1137  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:11:52 d2.utils.events]: \u001b[0m eta: 0:04:32  iter: 39159  total_loss: 0.1893  loss_cls: 0.01688  loss_box_reg: 0.03647  loss_mask: 0.1205  loss_rpn_cls: 0.001042  loss_rpn_loc: 0.01298  time: 0.3482  data_time: 0.1132  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:11:59 d2.utils.events]: \u001b[0m eta: 0:04:26  iter: 39179  total_loss: 0.1782  loss_cls: 0.01587  loss_box_reg: 0.03315  loss_mask: 0.1055  loss_rpn_cls: 0.004481  loss_rpn_loc: 0.01484  time: 0.3482  data_time: 0.1138  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:12:05 d2.utils.events]: \u001b[0m eta: 0:04:20  iter: 39199  total_loss: 0.17  loss_cls: 0.01638  loss_box_reg: 0.02809  loss_mask: 0.1042  loss_rpn_cls: 0.001383  loss_rpn_loc: 0.01709  time: 0.3482  data_time: 0.1141  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:12:12 d2.utils.events]: \u001b[0m eta: 0:04:13  iter: 39219  total_loss: 0.207  loss_cls: 0.02036  loss_box_reg: 0.03341  loss_mask: 0.1273  loss_rpn_cls: 0.002061  loss_rpn_loc: 0.0215  time: 0.3482  data_time: 0.1137  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:12:19 d2.utils.events]: \u001b[0m eta: 0:04:07  iter: 39239  total_loss: 0.2256  loss_cls: 0.02685  loss_box_reg: 0.04434  loss_mask: 0.1174  loss_rpn_cls: 0.002762  loss_rpn_loc: 0.02239  time: 0.3482  data_time: 0.1125  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:12:25 d2.utils.events]: \u001b[0m eta: 0:04:00  iter: 39259  total_loss: 0.2027  loss_cls: 0.02037  loss_box_reg: 0.03581  loss_mask: 0.1099  loss_rpn_cls: 0.001325  loss_rpn_loc: 0.01567  time: 0.3482  data_time: 0.1112  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:12:31 d2.utils.events]: \u001b[0m eta: 0:03:54  iter: 39279  total_loss: 0.1574  loss_cls: 0.01503  loss_box_reg: 0.02904  loss_mask: 0.101  loss_rpn_cls: 0.001661  loss_rpn_loc: 0.0131  time: 0.3481  data_time: 0.1133  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:12:38 d2.utils.events]: \u001b[0m eta: 0:03:47  iter: 39299  total_loss: 0.2142  loss_cls: 0.01928  loss_box_reg: 0.03863  loss_mask: 0.1283  loss_rpn_cls: 0.002227  loss_rpn_loc: 0.02216  time: 0.3481  data_time: 0.1122  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:12:44 d2.utils.events]: \u001b[0m eta: 0:03:41  iter: 39319  total_loss: 0.1618  loss_cls: 0.01399  loss_box_reg: 0.03324  loss_mask: 0.1048  loss_rpn_cls: 0.001161  loss_rpn_loc: 0.01552  time: 0.3481  data_time: 0.1122  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:12:51 d2.utils.events]: \u001b[0m eta: 0:03:34  iter: 39339  total_loss: 0.183  loss_cls: 0.01896  loss_box_reg: 0.03593  loss_mask: 0.1105  loss_rpn_cls: 0.001638  loss_rpn_loc: 0.01277  time: 0.3481  data_time: 0.1118  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:12:57 d2.utils.events]: \u001b[0m eta: 0:03:27  iter: 39359  total_loss: 0.1907  loss_cls: 0.01942  loss_box_reg: 0.02998  loss_mask: 0.1193  loss_rpn_cls: 0.001566  loss_rpn_loc: 0.01921  time: 0.3481  data_time: 0.1129  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:13:04 d2.utils.events]: \u001b[0m eta: 0:03:21  iter: 39379  total_loss: 0.2014  loss_cls: 0.02033  loss_box_reg: 0.0499  loss_mask: 0.1074  loss_rpn_cls: 0.001425  loss_rpn_loc: 0.02072  time: 0.3481  data_time: 0.1119  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:13:10 d2.utils.events]: \u001b[0m eta: 0:03:14  iter: 39399  total_loss: 0.1882  loss_cls: 0.01815  loss_box_reg: 0.03234  loss_mask: 0.1201  loss_rpn_cls: 0.00234  loss_rpn_loc: 0.01638  time: 0.3481  data_time: 0.1104  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:13:17 d2.utils.events]: \u001b[0m eta: 0:03:08  iter: 39419  total_loss: 0.1892  loss_cls: 0.01569  loss_box_reg: 0.0322  loss_mask: 0.1071  loss_rpn_cls: 0.0008454  loss_rpn_loc: 0.01425  time: 0.3480  data_time: 0.1142  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:13:23 d2.utils.events]: \u001b[0m eta: 0:03:01  iter: 39439  total_loss: 0.1851  loss_cls: 0.01543  loss_box_reg: 0.03666  loss_mask: 0.1111  loss_rpn_cls: 0.001447  loss_rpn_loc: 0.01844  time: 0.3480  data_time: 0.1112  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:13:29 d2.utils.events]: \u001b[0m eta: 0:02:55  iter: 39459  total_loss: 0.1913  loss_cls: 0.01558  loss_box_reg: 0.03394  loss_mask: 0.1174  loss_rpn_cls: 0.001066  loss_rpn_loc: 0.01925  time: 0.3480  data_time: 0.1119  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:13:36 d2.utils.events]: \u001b[0m eta: 0:02:48  iter: 39479  total_loss: 0.1725  loss_cls: 0.01371  loss_box_reg: 0.03425  loss_mask: 0.1003  loss_rpn_cls: 0.001388  loss_rpn_loc: 0.01707  time: 0.3480  data_time: 0.1124  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:13:42 d2.utils.events]: \u001b[0m eta: 0:02:42  iter: 39499  total_loss: 0.2  loss_cls: 0.01486  loss_box_reg: 0.03479  loss_mask: 0.1248  loss_rpn_cls: 0.001087  loss_rpn_loc: 0.01677  time: 0.3480  data_time: 0.1123  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:13:49 d2.utils.events]: \u001b[0m eta: 0:02:35  iter: 39519  total_loss: 0.1773  loss_cls: 0.01681  loss_box_reg: 0.03351  loss_mask: 0.1008  loss_rpn_cls: 0.0008509  loss_rpn_loc: 0.01189  time: 0.3480  data_time: 0.1127  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:13:55 d2.utils.events]: \u001b[0m eta: 0:02:29  iter: 39539  total_loss: 0.2041  loss_cls: 0.01722  loss_box_reg: 0.04032  loss_mask: 0.1077  loss_rpn_cls: 0.001862  loss_rpn_loc: 0.01549  time: 0.3480  data_time: 0.1121  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:14:02 d2.utils.events]: \u001b[0m eta: 0:02:22  iter: 39559  total_loss: 0.152  loss_cls: 0.01268  loss_box_reg: 0.02857  loss_mask: 0.09008  loss_rpn_cls: 0.0005972  loss_rpn_loc: 0.01263  time: 0.3479  data_time: 0.1121  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:14:08 d2.utils.events]: \u001b[0m eta: 0:02:16  iter: 39579  total_loss: 0.2516  loss_cls: 0.02135  loss_box_reg: 0.0494  loss_mask: 0.1241  loss_rpn_cls: 0.001797  loss_rpn_loc: 0.02281  time: 0.3479  data_time: 0.1124  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:14:14 d2.utils.events]: \u001b[0m eta: 0:02:09  iter: 39599  total_loss: 0.1743  loss_cls: 0.01608  loss_box_reg: 0.03337  loss_mask: 0.09983  loss_rpn_cls: 0.005572  loss_rpn_loc: 0.0157  time: 0.3479  data_time: 0.1130  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:14:21 d2.utils.events]: \u001b[0m eta: 0:02:03  iter: 39619  total_loss: 0.1873  loss_cls: 0.01951  loss_box_reg: 0.03218  loss_mask: 0.1172  loss_rpn_cls: 0.0006673  loss_rpn_loc: 0.02083  time: 0.3479  data_time: 0.1125  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:14:27 d2.utils.events]: \u001b[0m eta: 0:01:56  iter: 39639  total_loss: 0.1694  loss_cls: 0.01526  loss_box_reg: 0.03124  loss_mask: 0.1013  loss_rpn_cls: 0.0008432  loss_rpn_loc: 0.01359  time: 0.3479  data_time: 0.1120  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:14:34 d2.utils.events]: \u001b[0m eta: 0:01:50  iter: 39659  total_loss: 0.1714  loss_cls: 0.0162  loss_box_reg: 0.02876  loss_mask: 0.1107  loss_rpn_cls: 0.000607  loss_rpn_loc: 0.01674  time: 0.3479  data_time: 0.1120  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:14:40 d2.utils.events]: \u001b[0m eta: 0:01:43  iter: 39679  total_loss: 0.1903  loss_cls: 0.01832  loss_box_reg: 0.04163  loss_mask: 0.1068  loss_rpn_cls: 0.00115  loss_rpn_loc: 0.01996  time: 0.3479  data_time: 0.1134  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:14:47 d2.utils.events]: \u001b[0m eta: 0:01:37  iter: 39699  total_loss: 0.1823  loss_cls: 0.01677  loss_box_reg: 0.03196  loss_mask: 0.1214  loss_rpn_cls: 0.001318  loss_rpn_loc: 0.01723  time: 0.3479  data_time: 0.1130  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:14:53 d2.utils.events]: \u001b[0m eta: 0:01:30  iter: 39719  total_loss: 0.1724  loss_cls: 0.0148  loss_box_reg: 0.03015  loss_mask: 0.09918  loss_rpn_cls: 0.0003796  loss_rpn_loc: 0.01065  time: 0.3478  data_time: 0.1124  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:15:00 d2.utils.events]: \u001b[0m eta: 0:01:24  iter: 39739  total_loss: 0.1994  loss_cls: 0.02118  loss_box_reg: 0.04173  loss_mask: 0.113  loss_rpn_cls: 0.002523  loss_rpn_loc: 0.01935  time: 0.3478  data_time: 0.1122  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:15:06 d2.utils.events]: \u001b[0m eta: 0:01:17  iter: 39759  total_loss: 0.1948  loss_cls: 0.02128  loss_box_reg: 0.04436  loss_mask: 0.1155  loss_rpn_cls: 0.002531  loss_rpn_loc: 0.0202  time: 0.3478  data_time: 0.1121  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:15:12 d2.utils.events]: \u001b[0m eta: 0:01:11  iter: 39779  total_loss: 0.1746  loss_cls: 0.01495  loss_box_reg: 0.02941  loss_mask: 0.1034  loss_rpn_cls: 0.001862  loss_rpn_loc: 0.01896  time: 0.3478  data_time: 0.1124  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:15:19 d2.utils.events]: \u001b[0m eta: 0:01:04  iter: 39799  total_loss: 0.1966  loss_cls: 0.01665  loss_box_reg: 0.03673  loss_mask: 0.125  loss_rpn_cls: 0.001065  loss_rpn_loc: 0.01858  time: 0.3478  data_time: 0.1130  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:15:25 d2.utils.events]: \u001b[0m eta: 0:00:58  iter: 39819  total_loss: 0.185  loss_cls: 0.01752  loss_box_reg: 0.03671  loss_mask: 0.1213  loss_rpn_cls: 0.001101  loss_rpn_loc: 0.01895  time: 0.3478  data_time: 0.1122  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:15:32 d2.utils.events]: \u001b[0m eta: 0:00:51  iter: 39839  total_loss: 0.2019  loss_cls: 0.01277  loss_box_reg: 0.03301  loss_mask: 0.1087  loss_rpn_cls: 0.001331  loss_rpn_loc: 0.01997  time: 0.3478  data_time: 0.1133  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:15:38 d2.utils.events]: \u001b[0m eta: 0:00:45  iter: 39859  total_loss: 0.2214  loss_cls: 0.02265  loss_box_reg: 0.04509  loss_mask: 0.1181  loss_rpn_cls: 0.002059  loss_rpn_loc: 0.01873  time: 0.3477  data_time: 0.1122  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:15:45 d2.utils.events]: \u001b[0m eta: 0:00:38  iter: 39879  total_loss: 0.1879  loss_cls: 0.01772  loss_box_reg: 0.03159  loss_mask: 0.117  loss_rpn_cls: 0.001744  loss_rpn_loc: 0.01483  time: 0.3477  data_time: 0.1123  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:15:51 d2.utils.events]: \u001b[0m eta: 0:00:32  iter: 39899  total_loss: 0.2286  loss_cls: 0.02357  loss_box_reg: 0.04332  loss_mask: 0.1325  loss_rpn_cls: 0.00263  loss_rpn_loc: 0.02549  time: 0.3477  data_time: 0.1125  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:15:57 d2.utils.events]: \u001b[0m eta: 0:00:25  iter: 39919  total_loss: 0.171  loss_cls: 0.01071  loss_box_reg: 0.02826  loss_mask: 0.1074  loss_rpn_cls: 0.002294  loss_rpn_loc: 0.01583  time: 0.3477  data_time: 0.1128  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:16:04 d2.utils.events]: \u001b[0m eta: 0:00:19  iter: 39939  total_loss: 0.1779  loss_cls: 0.01794  loss_box_reg: 0.03553  loss_mask: 0.1082  loss_rpn_cls: 0.00243  loss_rpn_loc: 0.01905  time: 0.3477  data_time: 0.1131  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:16:10 d2.utils.events]: \u001b[0m eta: 0:00:12  iter: 39959  total_loss: 0.1828  loss_cls: 0.0128  loss_box_reg: 0.03087  loss_mask: 0.1055  loss_rpn_cls: 0.0007014  loss_rpn_loc: 0.01857  time: 0.3477  data_time: 0.1130  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:16:17 d2.utils.events]: \u001b[0m eta: 0:00:06  iter: 39979  total_loss: 0.1702  loss_cls: 0.01568  loss_box_reg: 0.03152  loss_mask: 0.1048  loss_rpn_cls: 0.0005062  loss_rpn_loc: 0.01485  time: 0.3477  data_time: 0.1130  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:16:25 d2.utils.events]: \u001b[0m eta: 0:00:00  iter: 39999  total_loss: 0.2115  loss_cls: 0.02421  loss_box_reg: 0.04444  loss_mask: 0.12  loss_rpn_cls: 0.001763  loss_rpn_loc: 0.01585  time: 0.3477  data_time: 0.1143  lr: 2.5e-05  max_mem: 2138M\n",
      "\u001b[32m[12/15 13:16:25 d2.engine.hooks]: \u001b[0mOverall training speed: 39998 iterations in 3:51:46 (0.3477 s / it)\n",
      "\u001b[32m[12/15 13:16:25 d2.engine.hooks]: \u001b[0mTotal training time: 3:52:15 (0:00:29 on hooks)\n"
     ]
    }
   ],
   "source": [
    "from detectron2.engine import DefaultTrainer\n",
    "\n",
    "cfg = get_cfg()\n",
    "device = 'cuda'\n",
    "\n",
    "cfg.merge_from_file(model_zoo.get_config_file(\"COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_1x.yaml\"))\n",
    "\n",
    "cfg.DATASETS.TRAIN = (\"signs\",)\n",
    "cfg.DATASETS.TEST = ()\n",
    "cfg.DATALOADER.NUM_WORKERS = 0\n",
    "cfg.MODEL.WEIGHTS = model_zoo.get_checkpoint_url(\"COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_1x.yaml\")  # Let training initialize from model zoo\n",
    "cfg.SOLVER.IMS_PER_BATCH = 2\n",
    "cfg.SOLVER.BASE_LR = 0.00025  \n",
    "cfg.SOLVER.MAX_ITER = 40000    \n",
    "cfg.SOLVER.STEPS = [30000]        \n",
    "\n",
    "cfg.MODEL.ROI_HEADS.BATCH_SIZE_PER_IMAGE = 512   \n",
    "cfg.MODEL.ROI_HEADS.NUM_CLASSES = 15 \n",
    "\n",
    "os.makedirs(cfg.OUTPUT_DIR, exist_ok=True)\n",
    "trainer = DefaultTrainer(cfg) \n",
    "trainer.resume_or_load(resume=False)\n",
    "trainer.train()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "24a8ba8d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "      <iframe id=\"tensorboard-frame-80a22bf15affe08a\" width=\"100%\" height=\"800\" frameborder=\"0\">\n",
       "      </iframe>\n",
       "      <script>\n",
       "        (function() {\n",
       "          const frame = document.getElementById(\"tensorboard-frame-80a22bf15affe08a\");\n",
       "          const url = new URL(\"/\", window.location);\n",
       "          const port = 6006;\n",
       "          if (port) {\n",
       "            url.port = port;\n",
       "          }\n",
       "          frame.src = url;\n",
       "        })();\n",
       "      </script>\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Look at training curves in tensorboard:\n",
    "%load_ext tensorboard\n",
    "%tensorboard --logdir output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "e6beccc7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[32m[12/15 13:24:06 d2.data.datasets.coco]: \u001b[0mLoaded 384 images in COCO format from /Users/Rekha/Documents/road_signs/labels/valid/coco.json\n"
     ]
    }
   ],
   "source": [
    "signs_test_metadata = MetadataCatalog.get(\"signs_test\")\n",
    "dataset_dicts = DatasetCatalog.get(\"signs_test\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "6a028095",
   "metadata": {},
   "outputs": [],
   "source": [
    "cfg.MODEL.WEIGHTS = os.path.join(cfg.OUTPUT_DIR, \"model_final.pth\")\n",
    "cfg.MODEL.ROI_HEADS.SCORE_THRESH_TEST = 0.5   # set the testing threshold for this model\n",
    "cfg.DATASETS.TEST = (\"signs_test\", )\n",
    "predictor = DefaultPredictor(cfg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "5dd6b512",
   "metadata": {},
   "outputs": [],
   "source": [
    "#from detectron2.utils.visualizer import ColorMode\n",
    "#dataset_dicts = DatasetCatalog.get(\"signs_test\")\n",
    "#for d in random.sample(dataset_dicts, 20):    \n",
    "   # im = cv2.imread(d[\"file_name\"])\n",
    "    #outputs = predictor(im)  # format is documented at https://detectron2.readthedocs.io/tutorials/models.html#model-output-format\n",
    "    #v = Visualizer(im[:, :, ::-1],\n",
    "                  # metadata=signs_test_metadata, \n",
    "                  # scale=0.5, \n",
    "                 #  instance_mode=ColorMode.IMAGE  # remove the colors of unsegmented pixels. This option is only available for segmentation models\n",
    " #   )\n",
    "  #  out = v.draw_instance_predictions(outputs[\"instances\"].to(\"cpu\"))\n",
    "   # cv2_imshow(out.get_image()[:, :, ::-1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "4bdf3727",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[32m[12/15 13:26:44 d2.data.datasets.coco]: \u001b[0mLoaded 384 images in COCO format from /Users/Rekha/Documents/road_signs/labels/valid/coco.json\n",
      "\u001b[32m[12/15 13:26:44 d2.data.build]: \u001b[0mDistribution of instances among all 15 categories:\n",
      "\u001b[36m|   category    | #instances   |   category    | #instances   |   category    | #instances   |\n",
      "|:-------------:|:-------------|:-------------:|:-------------|:-------------:|:-------------|\n",
      "|  red_square   | 2            |  blue_square  | 12           | white_square  | 25           |\n",
      "| right_of_way  | 15           |   direction   | 68           |  blue_circle  | 31           |\n",
      "| yellow_blac.. | 18           |     yield     | 31           |  zone_start   | 4            |\n",
      "|  red_circle   | 57           | red_blue_ci.. | 4            | yield_bakside | 14           |\n",
      "| blue_white_.. | 22           |   zone_end    | 8            | red_triangle  | 3            |\n",
      "|               |              |               |              |               |              |\n",
      "|     total     | 314          |               |              |               |              |\u001b[0m\n",
      "\u001b[32m[12/15 13:26:44 d2.data.dataset_mapper]: \u001b[0m[DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')]\n",
      "\u001b[32m[12/15 13:26:44 d2.data.common]: \u001b[0mSerializing 384 elements to byte tensors and concatenating them all ...\n",
      "\u001b[32m[12/15 13:26:44 d2.data.common]: \u001b[0mSerialized dataset takes 0.11 MiB\n",
      "\u001b[32m[12/15 13:26:44 d2.evaluation.evaluator]: \u001b[0mStart inference on 384 batches\n",
      "\u001b[32m[12/15 13:26:46 d2.evaluation.evaluator]: \u001b[0mInference done 11/384. Dataloading: 0.0518 s/iter. Inference: 0.0486 s/iter. Eval: 0.0055 s/iter. Total: 0.1058 s/iter. ETA=0:00:39\n",
      "\u001b[32m[12/15 13:26:51 d2.evaluation.evaluator]: \u001b[0mInference done 54/384. Dataloading: 0.0614 s/iter. Inference: 0.0495 s/iter. Eval: 0.0044 s/iter. Total: 0.1153 s/iter. ETA=0:00:38\n",
      "\u001b[32m[12/15 13:26:56 d2.evaluation.evaluator]: \u001b[0mInference done 96/384. Dataloading: 0.0625 s/iter. Inference: 0.0496 s/iter. Eval: 0.0052 s/iter. Total: 0.1174 s/iter. ETA=0:00:33\n",
      "\u001b[32m[12/15 13:27:01 d2.evaluation.evaluator]: \u001b[0mInference done 139/384. Dataloading: 0.0627 s/iter. Inference: 0.0495 s/iter. Eval: 0.0056 s/iter. Total: 0.1180 s/iter. ETA=0:00:28\n",
      "\u001b[32m[12/15 13:27:06 d2.evaluation.evaluator]: \u001b[0mInference done 182/384. Dataloading: 0.0632 s/iter. Inference: 0.0496 s/iter. Eval: 0.0052 s/iter. Total: 0.1180 s/iter. ETA=0:00:23\n",
      "\u001b[32m[12/15 13:27:11 d2.evaluation.evaluator]: \u001b[0mInference done 226/384. Dataloading: 0.0630 s/iter. Inference: 0.0497 s/iter. Eval: 0.0048 s/iter. Total: 0.1175 s/iter. ETA=0:00:18\n",
      "\u001b[32m[12/15 13:27:16 d2.evaluation.evaluator]: \u001b[0mInference done 269/384. Dataloading: 0.0630 s/iter. Inference: 0.0499 s/iter. Eval: 0.0047 s/iter. Total: 0.1177 s/iter. ETA=0:00:13\n",
      "\u001b[32m[12/15 13:27:22 d2.evaluation.evaluator]: \u001b[0mInference done 312/384. Dataloading: 0.0629 s/iter. Inference: 0.0499 s/iter. Eval: 0.0048 s/iter. Total: 0.1176 s/iter. ETA=0:00:08\n",
      "\u001b[32m[12/15 13:27:27 d2.evaluation.evaluator]: \u001b[0mInference done 353/384. Dataloading: 0.0634 s/iter. Inference: 0.0500 s/iter. Eval: 0.0049 s/iter. Total: 0.1183 s/iter. ETA=0:00:03\n",
      "\u001b[32m[12/15 13:27:30 d2.evaluation.evaluator]: \u001b[0mTotal inference time: 0:00:44.829769 (0.118284 s / iter per device, on 1 devices)\n",
      "\u001b[32m[12/15 13:27:30 d2.evaluation.evaluator]: \u001b[0mTotal inference pure compute time: 0:00:18 (0.050077 s / iter per device, on 1 devices)\n",
      "\u001b[32m[12/15 13:27:30 d2.evaluation.coco_evaluation]: \u001b[0mPreparing results for COCO format ...\n",
      "\u001b[32m[12/15 13:27:30 d2.evaluation.coco_evaluation]: \u001b[0mSaving results to ./output\\coco_instances_results.json\n",
      "\u001b[32m[12/15 13:27:30 d2.evaluation.coco_evaluation]: \u001b[0mEvaluating predictions with unofficial COCO API...\n",
      "Loading and preparing results...\n",
      "DONE (t=0.00s)\n",
      "creating index...\n",
      "index created!\n",
      "\u001b[32m[12/15 13:27:30 d2.evaluation.fast_eval_api]: \u001b[0mEvaluate annotation type *bbox*\n",
      "\u001b[32m[12/15 13:27:30 d2.evaluation.fast_eval_api]: \u001b[0mCOCOeval_opt.evaluate() finished in 0.04 seconds.\n",
      "\u001b[32m[12/15 13:27:30 d2.evaluation.fast_eval_api]: \u001b[0mAccumulating evaluation results...\n",
      "\u001b[32m[12/15 13:27:30 d2.evaluation.fast_eval_api]: \u001b[0mCOCOeval_opt.accumulate() finished in 0.03 seconds.\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.435\n",
      " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.674\n",
      " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.498\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.365\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.572\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.611\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.427\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.507\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.507\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.433\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.615\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.692\n",
      "\u001b[32m[12/15 13:27:30 d2.evaluation.coco_evaluation]: \u001b[0mEvaluation results for bbox: \n",
      "|   AP   |  AP50  |  AP75  |  APs   |  APm   |  APl   |\n",
      "|:------:|:------:|:------:|:------:|:------:|:------:|\n",
      "| 43.484 | 67.427 | 49.764 | 36.504 | 57.181 | 61.075 |\n",
      "\u001b[32m[12/15 13:27:30 d2.evaluation.coco_evaluation]: \u001b[0mPer-category bbox AP: \n",
      "| category            | AP     | category        | AP     | category      | AP     |\n",
      "|:--------------------|:-------|:----------------|:-------|:--------------|:-------|\n",
      "| red_square          | 55.347 | blue_square     | 44.718 | white_square  | 32.235 |\n",
      "| right_of_way        | 54.669 | direction       | 33.547 | blue_circle   | 57.564 |\n",
      "| yellow_black_marker | 30.480 | yield           | 49.604 | zone_start    | 76.906 |\n",
      "| red_circle          | 58.749 | red_blue_circle | 51.839 | yield_bakside | 3.762  |\n",
      "| blue_white_square   | 60.457 | zone_end        | 42.376 | red_triangle  | 0.000  |\n",
      "Loading and preparing results...\n",
      "DONE (t=0.00s)\n",
      "creating index...\n",
      "index created!\n",
      "\u001b[32m[12/15 13:27:30 d2.evaluation.fast_eval_api]: \u001b[0mEvaluate annotation type *segm*\n",
      "\u001b[32m[12/15 13:27:30 d2.evaluation.fast_eval_api]: \u001b[0mCOCOeval_opt.evaluate() finished in 0.13 seconds.\n",
      "\u001b[32m[12/15 13:27:30 d2.evaluation.fast_eval_api]: \u001b[0mAccumulating evaluation results...\n",
      "\u001b[32m[12/15 13:27:30 d2.evaluation.fast_eval_api]: \u001b[0mCOCOeval_opt.accumulate() finished in 0.03 seconds.\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.434\n",
      " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.674\n",
      " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.489\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.356\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.591\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.630\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.423\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.506\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.506\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.428\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.620\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.708\n",
      "\u001b[32m[12/15 13:27:30 d2.evaluation.coco_evaluation]: \u001b[0mEvaluation results for segm: \n",
      "|   AP   |  AP50  |  AP75  |  APs   |  APm   |  APl   |\n",
      "|:------:|:------:|:------:|:------:|:------:|:------:|\n",
      "| 43.438 | 67.359 | 48.881 | 35.611 | 59.086 | 62.990 |\n",
      "\u001b[32m[12/15 13:27:30 d2.evaluation.coco_evaluation]: \u001b[0mPer-category segm AP: \n",
      "| category            | AP     | category        | AP     | category      | AP     |\n",
      "|:--------------------|:-------|:----------------|:-------|:--------------|:-------|\n",
      "| red_square          | 55.347 | blue_square     | 45.732 | white_square  | 32.309 |\n",
      "| right_of_way        | 56.878 | direction       | 39.599 | blue_circle   | 60.234 |\n",
      "| yellow_black_marker | 27.697 | yield           | 43.041 | zone_start    | 70.718 |\n",
      "| red_circle          | 59.297 | red_blue_circle | 51.485 | yield_bakside | 4.385  |\n",
      "| blue_white_square   | 60.954 | zone_end        | 43.901 | red_triangle  | 0.000  |\n",
      "OrderedDict([('bbox', {'AP': 43.48356081034962, 'AP50': 67.42729653834357, 'AP75': 49.76400825618734, 'APs': 36.50429898378276, 'APm': 57.181122453096556, 'APl': 61.07508250825082, 'AP-red_square': 55.346534653465355, 'AP-blue_square': 44.717900361464714, 'AP-white_square': 32.23493997751424, 'AP-right_of_way': 54.66887786063674, 'AP-direction': 33.54706710013496, 'AP-blue_circle': 57.564389062822045, 'AP-yellow_black_marker': 30.480230375978774, 'AP-yield': 49.603842527109855, 'AP-zone_start': 76.9059405940594, 'AP-red_circle': 58.74910689806959, 'AP-red_blue_circle': 51.83875530410184, 'AP-yield_bakside': 3.762376237623762, 'AP-blue_white_square': 60.4572135785007, 'AP-zone_end': 42.37623762376238, 'AP-red_triangle': 0.0}), ('segm', {'AP': 43.438486608494514, 'AP50': 67.35938366259371, 'AP75': 48.88053133675316, 'APs': 35.61071104893116, 'APm': 59.086451145461695, 'APl': 62.989686468646866, 'AP-red_square': 55.346534653465355, 'AP-blue_square': 45.73243038589573, 'AP-white_square': 32.309378740071814, 'AP-right_of_way': 56.87775435591394, 'AP-direction': 39.598795790830174, 'AP-blue_circle': 60.23399136842544, 'AP-yellow_black_marker': 27.697155429828697, 'AP-yield': 43.04082531717942, 'AP-zone_start': 70.71782178217822, 'AP-red_circle': 59.29748164780629, 'AP-red_blue_circle': 51.48514851485149, 'AP-yield_bakside': 4.384724186704385, 'AP-blue_white_square': 60.954266855256954, 'AP-zone_end': 43.9009900990099, 'AP-red_triangle': 0.0})])\n"
     ]
    }
   ],
   "source": [
    "from detectron2.evaluation import COCOEvaluator, inference_on_dataset\n",
    "from detectron2.data import build_detection_test_loader\n",
    "evaluator = COCOEvaluator(\"signs_test\", output_dir=\"./output\")\n",
    "val_loader = build_detection_test_loader(cfg, \"signs_test\")\n",
    "print(inference_on_dataset(predictor.model, val_loader, evaluator))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "05e51dd9",
   "metadata": {},
   "source": [
    "### training sets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "fb96be34",
   "metadata": {},
   "outputs": [],
   "source": [
    "cfg.MODEL.WEIGHTS = os.path.join(cfg.OUTPUT_DIR, \"model_final.pth\")\n",
    "cfg.MODEL.ROI_HEADS.SCORE_THRESH_TEST = 0.5   # set the testing threshold for this model\n",
    "cfg.DATASETS.TEST = (\"signs\", )\n",
    "predictor = DefaultPredictor(cfg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "c59c780c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[32m[12/15 13:38:41 d2.data.datasets.coco]: \u001b[0mLoaded 1484 images in COCO format from /Users/Rekha/Documents/road_signs/labels/train/coco.json\n",
      "\u001b[32m[12/15 13:38:41 d2.data.dataset_mapper]: \u001b[0m[DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')]\n",
      "\u001b[32m[12/15 13:38:41 d2.data.common]: \u001b[0mSerializing 1484 elements to byte tensors and concatenating them all ...\n",
      "\u001b[32m[12/15 13:38:41 d2.data.common]: \u001b[0mSerialized dataset takes 0.41 MiB\n",
      "\u001b[32m[12/15 13:38:41 d2.evaluation.evaluator]: \u001b[0mStart inference on 1484 batches\n",
      "\u001b[32m[12/15 13:38:42 d2.evaluation.evaluator]: \u001b[0mInference done 11/1484. Dataloading: 0.0520 s/iter. Inference: 0.0518 s/iter. Eval: 0.0043 s/iter. Total: 0.1081 s/iter. ETA=0:02:39\n",
      "\u001b[32m[12/15 13:38:47 d2.evaluation.evaluator]: \u001b[0mInference done 52/1484. Dataloading: 0.0620 s/iter. Inference: 0.0523 s/iter. Eval: 0.0081 s/iter. Total: 0.1225 s/iter. ETA=0:02:55\n",
      "\u001b[32m[12/15 13:38:53 d2.evaluation.evaluator]: \u001b[0mInference done 94/1484. Dataloading: 0.0633 s/iter. Inference: 0.0512 s/iter. Eval: 0.0073 s/iter. Total: 0.1218 s/iter. ETA=0:02:49\n",
      "\u001b[32m[12/15 13:38:58 d2.evaluation.evaluator]: \u001b[0mInference done 135/1484. Dataloading: 0.0636 s/iter. Inference: 0.0517 s/iter. Eval: 0.0071 s/iter. Total: 0.1225 s/iter. ETA=0:02:45\n",
      "\u001b[32m[12/15 13:39:03 d2.evaluation.evaluator]: \u001b[0mInference done 178/1484. Dataloading: 0.0636 s/iter. Inference: 0.0512 s/iter. Eval: 0.0065 s/iter. Total: 0.1213 s/iter. ETA=0:02:38\n",
      "\u001b[32m[12/15 13:39:08 d2.evaluation.evaluator]: \u001b[0mInference done 220/1484. Dataloading: 0.0639 s/iter. Inference: 0.0509 s/iter. Eval: 0.0063 s/iter. Total: 0.1212 s/iter. ETA=0:02:33\n",
      "\u001b[32m[12/15 13:39:13 d2.evaluation.evaluator]: \u001b[0mInference done 261/1484. Dataloading: 0.0641 s/iter. Inference: 0.0506 s/iter. Eval: 0.0067 s/iter. Total: 0.1215 s/iter. ETA=0:02:28\n",
      "\u001b[32m[12/15 13:39:18 d2.evaluation.evaluator]: \u001b[0mInference done 302/1484. Dataloading: 0.0641 s/iter. Inference: 0.0506 s/iter. Eval: 0.0068 s/iter. Total: 0.1216 s/iter. ETA=0:02:23\n",
      "\u001b[32m[12/15 13:39:23 d2.evaluation.evaluator]: \u001b[0mInference done 344/1484. Dataloading: 0.0643 s/iter. Inference: 0.0506 s/iter. Eval: 0.0066 s/iter. Total: 0.1215 s/iter. ETA=0:02:18\n",
      "\u001b[32m[12/15 13:39:28 d2.evaluation.evaluator]: \u001b[0mInference done 387/1484. Dataloading: 0.0643 s/iter. Inference: 0.0505 s/iter. Eval: 0.0063 s/iter. Total: 0.1211 s/iter. ETA=0:02:12\n",
      "\u001b[32m[12/15 13:39:33 d2.evaluation.evaluator]: \u001b[0mInference done 430/1484. Dataloading: 0.0645 s/iter. Inference: 0.0504 s/iter. Eval: 0.0059 s/iter. Total: 0.1208 s/iter. ETA=0:02:07\n",
      "\u001b[32m[12/15 13:39:38 d2.evaluation.evaluator]: \u001b[0mInference done 474/1484. Dataloading: 0.0644 s/iter. Inference: 0.0503 s/iter. Eval: 0.0056 s/iter. Total: 0.1204 s/iter. ETA=0:02:01\n",
      "\u001b[32m[12/15 13:39:43 d2.evaluation.evaluator]: \u001b[0mInference done 517/1484. Dataloading: 0.0644 s/iter. Inference: 0.0503 s/iter. Eval: 0.0055 s/iter. Total: 0.1202 s/iter. ETA=0:01:56\n",
      "\u001b[32m[12/15 13:39:48 d2.evaluation.evaluator]: \u001b[0mInference done 560/1484. Dataloading: 0.0645 s/iter. Inference: 0.0503 s/iter. Eval: 0.0052 s/iter. Total: 0.1200 s/iter. ETA=0:01:50\n",
      "\u001b[32m[12/15 13:39:53 d2.evaluation.evaluator]: \u001b[0mInference done 603/1484. Dataloading: 0.0645 s/iter. Inference: 0.0503 s/iter. Eval: 0.0050 s/iter. Total: 0.1198 s/iter. ETA=0:01:45\n",
      "\u001b[32m[12/15 13:39:58 d2.evaluation.evaluator]: \u001b[0mInference done 646/1484. Dataloading: 0.0645 s/iter. Inference: 0.0502 s/iter. Eval: 0.0048 s/iter. Total: 0.1197 s/iter. ETA=0:01:40\n",
      "\u001b[32m[12/15 13:40:03 d2.evaluation.evaluator]: \u001b[0mInference done 689/1484. Dataloading: 0.0645 s/iter. Inference: 0.0502 s/iter. Eval: 0.0048 s/iter. Total: 0.1195 s/iter. ETA=0:01:35\n",
      "\u001b[32m[12/15 13:40:09 d2.evaluation.evaluator]: \u001b[0mInference done 734/1484. Dataloading: 0.0643 s/iter. Inference: 0.0502 s/iter. Eval: 0.0046 s/iter. Total: 0.1191 s/iter. ETA=0:01:29\n",
      "\u001b[32m[12/15 13:40:14 d2.evaluation.evaluator]: \u001b[0mInference done 777/1484. Dataloading: 0.0642 s/iter. Inference: 0.0502 s/iter. Eval: 0.0046 s/iter. Total: 0.1190 s/iter. ETA=0:01:24\n",
      "\u001b[32m[12/15 13:40:19 d2.evaluation.evaluator]: \u001b[0mInference done 819/1484. Dataloading: 0.0643 s/iter. Inference: 0.0502 s/iter. Eval: 0.0047 s/iter. Total: 0.1192 s/iter. ETA=0:01:19\n",
      "\u001b[32m[12/15 13:40:24 d2.evaluation.evaluator]: \u001b[0mInference done 861/1484. Dataloading: 0.0643 s/iter. Inference: 0.0502 s/iter. Eval: 0.0047 s/iter. Total: 0.1192 s/iter. ETA=0:01:14\n",
      "\u001b[32m[12/15 13:40:29 d2.evaluation.evaluator]: \u001b[0mInference done 904/1484. Dataloading: 0.0643 s/iter. Inference: 0.0502 s/iter. Eval: 0.0046 s/iter. Total: 0.1191 s/iter. ETA=0:01:09\n",
      "\u001b[32m[12/15 13:40:34 d2.evaluation.evaluator]: \u001b[0mInference done 947/1484. Dataloading: 0.0642 s/iter. Inference: 0.0502 s/iter. Eval: 0.0046 s/iter. Total: 0.1190 s/iter. ETA=0:01:03\n",
      "\u001b[32m[12/15 13:40:39 d2.evaluation.evaluator]: \u001b[0mInference done 989/1484. Dataloading: 0.0642 s/iter. Inference: 0.0502 s/iter. Eval: 0.0047 s/iter. Total: 0.1191 s/iter. ETA=0:00:58\n",
      "\u001b[32m[12/15 13:40:44 d2.evaluation.evaluator]: \u001b[0mInference done 1030/1484. Dataloading: 0.0642 s/iter. Inference: 0.0502 s/iter. Eval: 0.0048 s/iter. Total: 0.1193 s/iter. ETA=0:00:54\n",
      "\u001b[32m[12/15 13:40:49 d2.evaluation.evaluator]: \u001b[0mInference done 1072/1484. Dataloading: 0.0642 s/iter. Inference: 0.0502 s/iter. Eval: 0.0049 s/iter. Total: 0.1193 s/iter. ETA=0:00:49\n",
      "\u001b[32m[12/15 13:40:54 d2.evaluation.evaluator]: \u001b[0mInference done 1113/1484. Dataloading: 0.0643 s/iter. Inference: 0.0502 s/iter. Eval: 0.0049 s/iter. Total: 0.1194 s/iter. ETA=0:00:44\n",
      "\u001b[32m[12/15 13:40:59 d2.evaluation.evaluator]: \u001b[0mInference done 1154/1484. Dataloading: 0.0644 s/iter. Inference: 0.0502 s/iter. Eval: 0.0049 s/iter. Total: 0.1196 s/iter. ETA=0:00:39\n",
      "\u001b[32m[12/15 13:41:04 d2.evaluation.evaluator]: \u001b[0mInference done 1195/1484. Dataloading: 0.0645 s/iter. Inference: 0.0503 s/iter. Eval: 0.0049 s/iter. Total: 0.1197 s/iter. ETA=0:00:34\n",
      "\u001b[32m[12/15 13:41:09 d2.evaluation.evaluator]: \u001b[0mInference done 1237/1484. Dataloading: 0.0646 s/iter. Inference: 0.0503 s/iter. Eval: 0.0048 s/iter. Total: 0.1197 s/iter. ETA=0:00:29\n",
      "\u001b[32m[12/15 13:41:14 d2.evaluation.evaluator]: \u001b[0mInference done 1278/1484. Dataloading: 0.0648 s/iter. Inference: 0.0503 s/iter. Eval: 0.0047 s/iter. Total: 0.1199 s/iter. ETA=0:00:24\n",
      "\u001b[32m[12/15 13:41:19 d2.evaluation.evaluator]: \u001b[0mInference done 1318/1484. Dataloading: 0.0650 s/iter. Inference: 0.0503 s/iter. Eval: 0.0047 s/iter. Total: 0.1201 s/iter. ETA=0:00:19\n",
      "\u001b[32m[12/15 13:41:24 d2.evaluation.evaluator]: \u001b[0mInference done 1359/1484. Dataloading: 0.0651 s/iter. Inference: 0.0504 s/iter. Eval: 0.0047 s/iter. Total: 0.1202 s/iter. ETA=0:00:15\n",
      "\u001b[32m[12/15 13:41:29 d2.evaluation.evaluator]: \u001b[0mInference done 1401/1484. Dataloading: 0.0652 s/iter. Inference: 0.0503 s/iter. Eval: 0.0046 s/iter. Total: 0.1202 s/iter. ETA=0:00:09\n",
      "\u001b[32m[12/15 13:41:35 d2.evaluation.evaluator]: \u001b[0mInference done 1443/1484. Dataloading: 0.0652 s/iter. Inference: 0.0503 s/iter. Eval: 0.0046 s/iter. Total: 0.1202 s/iter. ETA=0:00:04\n",
      "\u001b[32m[12/15 13:41:40 d2.evaluation.evaluator]: \u001b[0mInference done 1484/1484. Dataloading: 0.0653 s/iter. Inference: 0.0504 s/iter. Eval: 0.0045 s/iter. Total: 0.1202 s/iter. ETA=0:00:00\n",
      "\u001b[32m[12/15 13:41:40 d2.evaluation.evaluator]: \u001b[0mTotal inference time: 0:02:57.846781 (0.120248 s / iter per device, on 1 devices)\n",
      "\u001b[32m[12/15 13:41:40 d2.evaluation.evaluator]: \u001b[0mTotal inference pure compute time: 0:01:14 (0.050379 s / iter per device, on 1 devices)\n",
      "\u001b[32m[12/15 13:41:40 d2.evaluation.coco_evaluation]: \u001b[0mPreparing results for COCO format ...\n",
      "\u001b[32m[12/15 13:41:40 d2.evaluation.coco_evaluation]: \u001b[0mSaving results to ./output\\coco_instances_results.json\n",
      "\u001b[32m[12/15 13:41:40 d2.evaluation.coco_evaluation]: \u001b[0mEvaluating predictions with unofficial COCO API...\n",
      "Loading and preparing results...\n",
      "DONE (t=0.00s)\n",
      "creating index...\n",
      "index created!\n",
      "\u001b[32m[12/15 13:41:40 d2.evaluation.fast_eval_api]: \u001b[0mEvaluate annotation type *bbox*\n",
      "\u001b[32m[12/15 13:41:40 d2.evaluation.fast_eval_api]: \u001b[0mCOCOeval_opt.evaluate() finished in 0.34 seconds.\n",
      "\u001b[32m[12/15 13:41:40 d2.evaluation.fast_eval_api]: \u001b[0mAccumulating evaluation results...\n",
      "\u001b[32m[12/15 13:41:40 d2.evaluation.fast_eval_api]: \u001b[0mCOCOeval_opt.accumulate() finished in 0.05 seconds.\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.728\n",
      " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.970\n",
      " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.899\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.683\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.820\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.800\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.654\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.779\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.779\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.732\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.856\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.836\n",
      "\u001b[32m[12/15 13:41:40 d2.evaluation.coco_evaluation]: \u001b[0mEvaluation results for bbox: \n",
      "|   AP   |  AP50  |  AP75  |  APs   |  APm   |  APl   |\n",
      "|:------:|:------:|:------:|:------:|:------:|:------:|\n",
      "| 72.845 | 96.992 | 89.850 | 68.310 | 82.012 | 80.001 |\n",
      "\u001b[32m[12/15 13:41:40 d2.evaluation.coco_evaluation]: \u001b[0mPer-category bbox AP: \n",
      "| category            | AP     | category        | AP     | category      | AP     |\n",
      "|:--------------------|:-------|:----------------|:-------|:--------------|:-------|\n",
      "| red_square          | 73.289 | blue_square     | 76.066 | white_square  | 70.639 |\n",
      "| right_of_way        | 73.067 | direction       | 64.541 | blue_circle   | 71.728 |\n",
      "| yellow_black_marker | 63.231 | yield           | 73.490 | zone_start    | 77.152 |\n",
      "| red_circle          | 76.566 | red_blue_circle | 79.282 | yield_bakside | 69.799 |\n",
      "| blue_white_square   | 70.648 | zone_end        | 81.390 | red_triangle  | 71.785 |\n",
      "Loading and preparing results...\n",
      "DONE (t=0.01s)\n",
      "creating index...\n",
      "index created!\n",
      "\u001b[32m[12/15 13:41:40 d2.evaluation.fast_eval_api]: \u001b[0mEvaluate annotation type *segm*\n",
      "\u001b[32m[12/15 13:41:40 d2.evaluation.fast_eval_api]: \u001b[0mCOCOeval_opt.evaluate() finished in 0.28 seconds.\n",
      "\u001b[32m[12/15 13:41:40 d2.evaluation.fast_eval_api]: \u001b[0mAccumulating evaluation results...\n",
      "\u001b[32m[12/15 13:41:40 d2.evaluation.fast_eval_api]: \u001b[0mCOCOeval_opt.accumulate() finished in 0.04 seconds.\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.718\n",
      " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.977\n",
      " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.875\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.668\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.822\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.856\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.641\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.767\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.767\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.718\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.850\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.876\n",
      "\u001b[32m[12/15 13:41:40 d2.evaluation.coco_evaluation]: \u001b[0mEvaluation results for segm: \n",
      "|   AP   |  AP50  |  AP75  |  APs   |  APm   |  APl   |\n",
      "|:------:|:------:|:------:|:------:|:------:|:------:|\n",
      "| 71.811 | 97.696 | 87.538 | 66.811 | 82.184 | 85.618 |\n",
      "\u001b[32m[12/15 13:41:40 d2.evaluation.coco_evaluation]: \u001b[0mPer-category segm AP: \n",
      "| category            | AP     | category        | AP     | category      | AP     |\n",
      "|:--------------------|:-------|:----------------|:-------|:--------------|:-------|\n",
      "| red_square          | 72.932 | blue_square     | 76.835 | white_square  | 71.214 |\n",
      "| right_of_way        | 64.023 | direction       | 68.790 | blue_circle   | 77.139 |\n",
      "| yellow_black_marker | 66.184 | yield           | 64.053 | zone_start    | 78.143 |\n",
      "| red_circle          | 79.421 | red_blue_circle | 81.102 | yield_bakside | 62.299 |\n",
      "| blue_white_square   | 71.456 | zone_end        | 79.706 | red_triangle  | 63.865 |\n",
      "OrderedDict([('bbox', {'AP': 72.84489344621092, 'AP50': 96.99209913282752, 'AP75': 89.85031295264258, 'APs': 68.31003495450537, 'APm': 82.0119464748355, 'APl': 80.00060405089602, 'AP-red_square': 73.28915171942916, 'AP-blue_square': 76.06556101887155, 'AP-white_square': 70.63885975034233, 'AP-right_of_way': 73.0671362548482, 'AP-direction': 64.54141787743997, 'AP-blue_circle': 71.72823494214627, 'AP-yellow_black_marker': 63.23118811682315, 'AP-yield': 73.48968767105548, 'AP-zone_start': 77.15165280643744, 'AP-red_circle': 76.56608020118229, 'AP-red_blue_circle': 79.28204603712666, 'AP-yield_bakside': 69.79910067002317, 'AP-blue_white_square': 70.64843210352657, 'AP-zone_end': 81.39013559067962, 'AP-red_triangle': 71.78471693323179}), ('segm', {'AP': 71.81077696812869, 'AP50': 97.69620888146667, 'AP75': 87.53802260837014, 'APs': 66.81113306886104, 'APm': 82.18351407804015, 'APl': 85.61755575659205, 'AP-red_square': 72.93223221384838, 'AP-blue_square': 76.83464520273682, 'AP-white_square': 71.21446850869218, 'AP-right_of_way': 64.02319775461307, 'AP-direction': 68.79021909532094, 'AP-blue_circle': 77.13925487967333, 'AP-yellow_black_marker': 66.18361212396248, 'AP-yield': 64.05278489472495, 'AP-zone_start': 78.1428715663225, 'AP-red_circle': 79.42070545322923, 'AP-red_blue_circle': 81.101749841769, 'AP-yield_bakside': 62.298980822570336, 'AP-blue_white_square': 71.45573069081352, 'AP-zone_end': 79.70617650961873, 'AP-red_triangle': 63.865024964034866})])\n"
     ]
    }
   ],
   "source": [
    "from detectron2.evaluation import COCOEvaluator, inference_on_dataset\n",
    "from detectron2.data import build_detection_test_loader\n",
    "evaluator = COCOEvaluator(\"signs\", output_dir=\"./output\")\n",
    "val_loader = build_detection_test_loader(cfg, \"signs\")\n",
    "print(inference_on_dataset(predictor.model, val_loader, evaluator))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d33e65c8",
   "metadata": {},
   "outputs": [],
   "source": [
    "#from detectron2.utils.visualizer import ColorMode\n",
    "#dataset_dicts = DatasetCatalog.get(\"signs\")\n",
    "#for d in random.sample(dataset_dicts, 10):    \n",
    "  #  im = cv2.imread(d[\"file_name\"])\n",
    " #   outputs = predictor(im)  # format is documented at https://detectron2.readthedocs.io/tutorials/models.html#model-output-format\n",
    "  #  v = Visualizer(im[:, :, ::-1],\n",
    "                #  metadata=signs_metadata, \n",
    "                 #  scale=0.5, \n",
    "                  # instance_mode=ColorMode.IMAGE  # remove the colors of unsegmented pixels. This option is only available for segmentation models\n",
    "  #  )\n",
    "  #  out = v.draw_instance_predictions(outputs[\"instances\"].to(\"cpu\"))\n",
    "   # cv2_imshow(out.get_image()[:, :, ::-1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2a11ad5c",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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