DBPNSSD.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* The following code is modified based on the original torchcv project. \n",
    "* We are going to use PASACAL VOC12 as dataset.\n",
    "* You could donwload VOC2012 \n",
    "  train/validation: http://host.robots.ox.ac.uk/pascal/VOC/voc2012/#devkit\n",
    "* test data: https://pjreddie.com/projects/pascal-voc-dataset-mirror/\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import cv2\n",
    "import math\n",
    "import random\n",
    "import pickle\n",
    "import argparse\n",
    "import matplotlib.pyplot as plt\n",
    "from PIL import Image\n",
    "from time import time\n",
    "import numpy as np\n",
    "\n",
    "import torch\n",
    "import torch.nn as nn\n",
    "import torch.optim as optim\n",
    "from torch.autograd import Variable\n",
    "from torch.utils.data import DataLoader\n",
    "import torch.nn.functional as F\n",
    "import torch.backends.cudnn as cudnn\n",
    "\n",
    "import torchvision\n",
    "import torchvision.transforms as T\n",
    "\n",
    "from __future__ import print_function\n",
    "from dbpn import Net as DBPN\n",
    "from dbpn import get_pair_set\n",
    "from ssd import SSD\n",
    "from ssd import build_ssd\n",
    "from ssd.layers.modules import MultiBoxLoss\n",
    "from ssd.data.config import voc\n",
    "from ssd.data import detection_collate\n",
    "from ssd.data import VOCAnnotationTransform, VOCDetection, BaseTransform, SRDetection, DBPNLoader\n",
    "from ssd.eval import test_net\n",
    "from metric import *\n",
    "from vgg import Vgg16\n",
    "\n",
    "import sys; sys.argv=['']; del sys\n",
    "\n",
    "# clean up device\n",
    "torch.cuda.empty_cache()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Namespace(anno_path='Annotations', batch_size=2, checkpt='./checkpoint', gpu_mode=True, gpus=1, hr_dataset='VOC12-HR', imSetpath='ImageSets', input_dir='./dataset', lr=5e-05, nEpochs=16, seed=123, testBatchSize=1, threads=2, train_dataset='VOC12-LR-x4', upscale_factor=4)\n"
     ]
    }
   ],
   "source": [
    "# Global arguments & settings\n",
    "parser = argparse.ArgumentParser(description='PyTorch Super Resolution Detection Networks')\n",
    "parser.add_argument('--upscale_factor', type=int, default=4, help=\"super resolution upscale factor\")\n",
    "parser.add_argument('--testBatchSize', type=int, default=1, help='testing batch size')\n",
    "parser.add_argument('--batch_size', type=int, default=2, help='training batch size') # GPU: 9GB!\n",
    "parser.add_argument('--threads', type=int, default=2, help='number of threads for data loading')\n",
    "parser.add_argument('--seed', type=int, default=123, help='random seed to use. Default=123')\n",
    "parser.add_argument('--gpu_mode', type=bool, default=True)\n",
    "parser.add_argument('--gpus', default=1, type=float, help='number of gpu')\n",
    "#parser.add_argument('--test_dataset', type=str, default='VOC12-LR-X8-test')\n",
    "#parser.add_argument('--sr_dataset', type=str, default='VOC12-SR-X8')\n",
    "parser.add_argument('--train_dataset', type=str, default='VOC12-LR-x4')\n",
    "parser.add_argument('--hr_dataset', type=str, default='VOC12-HR')\n",
    "parser.add_argument('--anno_path', type=str, default='Annotations')\n",
    "parser.add_argument('--imSetpath', type=str, default='ImageSets')\n",
    "parser.add_argument('--input_dir', type=str, default='./dataset')\n",
    "#parser.add_argument('--output', default='./dataset/results', help='Location to save some outputs')\n",
    "parser.add_argument('--checkpt', default='./checkpoint', help='Location to save checkpoint models')\n",
    "parser.add_argument('--lr', type=float, default=5e-5, help='Learning Rate. Default=0.00005')\n",
    "parser.add_argument('--nEpochs', type=int, default=16, help='number of epochs to fine tune net S over target loss')\n",
    "parser.add_argument('--ploss', type=bool, default=False ,help='perceptual loss')\n",
    "\n",
    "opt = parser.parse_args()\n",
    "\n",
    "gpus_list=range(opt.gpus)\n",
    "print(opt)\n",
    "\n",
    "cuda = opt.gpu_mode\n",
    "if cuda and not torch.cuda.is_available():\n",
    "    raise Exception(\"No GPU found, please run without --cuda\")\n",
    "\n",
    "torch.manual_seed(opt.seed)\n",
    "if cuda:\n",
    "    torch.cuda.manual_seed(opt.seed)\n",
    "    torch.cuda.empty_cache()\n",
    "\n",
    "Epochs = opt.nEpochs\n",
    "tbz = opt.batch_size\n",
    "num_classes = 21           # 20 (VOC0712) +1 for background\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Finished loading SSD300 task evaluation network!\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/x/cs231n/super-resolution-detection/ssd/ssd.py:34: UserWarning: volatile was removed and now has no effect. Use `with torch.no_grad():` instead.\n",
      "  self.priors = Variable(self.priorbox.forward(), volatile=True)\n",
      "/home/x/cs231n/super-resolution-detection/ssd/layers/modules/l2norm.py:17: UserWarning: nn.init.constant is now deprecated in favor of nn.init.constant_.\n",
      "  init.constant(self.weight,self.gamma)\n"
     ]
    }
   ],
   "source": [
    "# Task validation Setup - We use VOC07 Detection validation for our SROD network\n",
    "\n",
    "HOME = os.path.expanduser(\"~\")\n",
    "voc_root = os.path.join(HOME, \"data/VOCdevkit/\")\n",
    "\n",
    "annopath = os.path.join(voc_root, 'VOC2007', 'Annotations', '%s.xml')\n",
    "imgpath = os.path.join(voc_root, 'VOC2007', 'JPEGImages', '%s.jpg')\n",
    "imgsetpath = os.path.join(voc_root, 'VOC2007', 'ImageSets', 'Main', '{:s}.txt')\n",
    "YEAR = '2007'\n",
    "devkit_path = voc_root + 'VOC' + YEAR\n",
    "# VOC0712 image channel MEANS\n",
    "dataset_mean = (104, 117, 123)\n",
    "\n",
    "# Random picked detection network end-task validation set,\n",
    "# N.B. it is not for SROD (DBPN+SSD) training target Loss.\n",
    "set_type = '07val32-5702'\n",
    "# set_typs is explained below:\n",
    "\"\"\"\n",
    "We have 5 validation sets to choose, size of 16, 32, 64, 128, 256 repectively,\n",
    "Due to the time & computation constraint, we have these 5 downsampled val set.\n",
    "They are randomly(no replacement) picked from  VOC2007/ImageSets/Main/val.txt.\n",
    "\n",
    "Baseline mAP on Pre-trained ssd300 is measured as well:       (mAP)\n",
    "These Detection baseline are measured on frozen SSD300 network using\n",
    "'weights/ssd300_mAP_77.43_v2.pth', for 75x75 LR images been SR-ed by\n",
    "VOC12 retrained DBPN baseline w. weight 'VOC12-LR-x4-DBPN-ep100.pth'.\n",
    "\n",
    "~/data/VOCdevkit/VOC2007/ImageSets/Main/07val16-5648.txt      56.48%\n",
    "~/data/VOCdevkit/VOC2007/ImageSets/Main/07val32-5702.txt      57.02%\n",
    "~/data/VOCdevkit/VOC2007/ImageSets/Main/07val64-5826.txt      58.26%\n",
    "~/data/VOCdevkit/VOC2007/ImageSets/Main/07val128-6019.txt     60.19%\n",
    "~/data/VOCdevkit/VOC2007/ImageSets/Main/07val256-6030.txt     60.30%\n",
    "\n",
    "These can be used to evaluate training in progress quantatively.\n",
    "Again we do not run through whole val set for periodical check out, too slow!\n",
    "\"\"\"\n",
    "\n",
    "# Utility functions\n",
    "def save_img(img, img_path):\n",
    "    save_img = img.squeeze().clamp(0, 1).numpy().transpose(1,2,0)\n",
    "    cv2.imwrite(img_path, cv2.cvtColor(save_img*255, cv2.COLOR_BGR2RGB),  [cv2.IMWRITE_PNG_COMPRESSION, 0])\n",
    "\n",
    "# Dataloader for SuperVision Subnetwork Evaluation\n",
    "eval_set = DBPNLoader(root='./dataset')\n",
    "eval_loader = DataLoader(dataset=eval_set, batch_size=1, num_workers=1, shuffle=False)\n",
    "\n",
    "\n",
    "# Network and Dataloader for Detection subnetwork to End Task Eval\n",
    "# Tried to reuse 2nd half of our SRD net for detection, not lucky!\n",
    "ssd300net = build_ssd('test', 300, num_classes)   # initialize SSD\n",
    "ssd300net.load_state_dict(torch.load('ssd/weights/ssd300_mAP_77.43_v2.pth'))\n",
    "ssd300net.eval()\n",
    "\n",
    "print('Finished loading SSD300 task evaluation network!')\n",
    "eval_det = VOCDetection(voc_root, [('2007', set_type)],\n",
    "                       BaseTransform(300, dataset_mean),\n",
    "                       VOCAnnotationTransform(), sr_path='./dataset/VOC07-SR-x4')\n",
    "if cuda:\n",
    "     ssd300net = ssd300net.cuda()\n",
    "     cudnn.benchmark = True\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> Loading SRD sub Net-S (DBPN) fine-tune training datasets (VOC12)\n"
     ]
    }
   ],
   "source": [
    "print('===> Loading SRD sub Net-S (DBPN) fine-tune training datasets (VOC12)')\n",
    "\n",
    "sd_dataset = SRDetection(root='./dataset', image_sets='trainval.txt', data_mean = dataset_mean,\n",
    "                         target_transform = VOCAnnotationTransform())\n",
    "\n",
    "sd_data_loader = DataLoader(dataset=sd_dataset, batch_size=opt.batch_size, num_workers=opt.threads,\n",
    "                            shuffle=False, collate_fn=detection_collate, pin_memory=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> Architecture Definition of SRD network model: Net-S (DBPN) + Net-D (SSD300)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/x/cs231n/super-resolution-detection/dbpn/dbpn.py:47: UserWarning: nn.init.kaiming_normal is now deprecated in favor of nn.init.kaiming_normal_.\n",
      "  torch.nn.init.kaiming_normal(m.weight)\n",
      "/home/x/cs231n/super-resolution-detection/dbpn/dbpn.py:51: UserWarning: nn.init.kaiming_normal is now deprecated in favor of nn.init.kaiming_normal_.\n",
      "  torch.nn.init.kaiming_normal(m.weight)\n",
      "/home/x/cs231n/super-resolution-detection/ssd/ssd.py:34: UserWarning: volatile was removed and now has no effect. Use `with torch.no_grad():` instead.\n",
      "  self.priors = Variable(self.priorbox.forward(), volatile=True)\n",
      "/home/x/cs231n/super-resolution-detection/ssd/layers/modules/l2norm.py:17: UserWarning: nn.init.constant is now deprecated in favor of nn.init.constant_.\n",
      "  init.constant(self.weight,self.gamma)\n"
     ]
    }
   ],
   "source": [
    "# TODO:\n",
    "# 1. come up with test/eval functions\n",
    "# 2. come up with visualization image\n",
    "\n",
    "print('===> Architecture Definition of SRD network model: Net-S (DBPN) + Net-D (SSD300)')\n",
    "\n",
    "\n",
    "class DBPN2SSD(nn.Module):\n",
    "    \n",
    "    def __init__(self, s_model_name, d_model_name, d_frozen):\n",
    "        super(DBPN2SSD, self).__init__()\n",
    "        self.supervis = DBPN(num_channels=3, base_filter=64, feat=256, num_stages=7, scale_factor=4)\n",
    "        if os.path.exists(s_model_name):\n",
    "            self.supervis = torch.nn.DataParallel(self.supervis, device_ids=gpus_list)\n",
    "            self.supervis.load_state_dict(torch.load(s_model_name, map_location=lambda storage, loc: storage))\n",
    "\n",
    "        # self.detector = SSD(), setup ssd as 'train' mode for gradient flow\n",
    "        # later at test/eval situation, we will overwrite it's mode to 'test'\n",
    "        self.detector = build_ssd('train', 300, num_classes)\n",
    "        if os.path.exists(d_model_name):\n",
    "            self.detector.load_state_dict(torch.load(d_model_name, map_location=lambda storage, loc: storage))\n",
    "        if d_frozen:\n",
    "            for param in self.detector.parameters():\n",
    "                param.requires_grad = False\n",
    "        \n",
    "    def forward(self, x):\n",
    "        superx = self.supervis(x)\n",
    "        # current detector: SSD300, so assume superx: 300x300!\n",
    "        detect = self.detector(superx)\n",
    "        return (superx, detect)\n",
    "\n",
    "\n",
    "#SDnet = DBPN2SSD('dbpn/models/DBPN_x4.pth', 'ssd/weights/ssd300_mAP_77.43_v2.pth', True)\n",
    "#SDnet = DBPN2SSD('checkpoint/SRx4_4000.pth', 'ssd/weights/ssd300_mAP_77.43_v2.pth', True)\n",
    "SRDnet = DBPN2SSD('dbpn/models/VOC12-LR-x4-DBPN-ep100.pth', 'ssd/weights/ssd300_mAP_77.43_v2.pth', True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Evaluating detections\n",
      "0.5384877025132182\n"
     ]
    }
   ],
   "source": [
    "def mAP_eval():\n",
    "    mAP = test_net('./eval', ssd300net, cuda, eval_det, BaseTransform(ssd300net.size, dataset_mean), \\\n",
    "                   5, 300, thresh=0.01, eval_set=set_type)\n",
    "    return mAP\n",
    "    \n",
    "print(mAP_eval())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Main SRD training Loop\n",
    "\n",
    "# Hyperparameters - balancing weights of net S loss vs. net D loss\n",
    "# alpha = 1.0\n",
    "# beta = 1.0\n",
    "\n",
    "# load vgg network\n",
    "dtype = torch.cuda.FloatTensor\n",
    "vgg = Vgg16().type(dtype)\n",
    "mse_loss = torch.nn.functional.mse_loss\n",
    "\n",
    "Epochs = 16\n",
    "# decay_steps = [5000, 10000, 20000, 40000, 80000] in iterations\n",
    "# decay_steps = [5, 10, 20, 40, 80]              # in epochs\n",
    "decay_steps = [17]                               # in epochs\n",
    "gamma = 0.5\n",
    "def adjust_learning_rate(optimizer, gamma=0.5, step=0):\n",
    "    \"\"\"Sets the learning rate to the initial LR decayed by 10 at every\n",
    "        specified step\n",
    "    # Adapted from PyTorch Imagenet example:\n",
    "    # https://github.com/pytorch/examples/blob/master/imagenet/main.py\n",
    "    \"\"\"\n",
    "    lr = opt.lr * (gamma ** (step))\n",
    "    for param_group in optimizer.param_groups:\n",
    "        param_group['lr'] = lr\n",
    "    return lr\n",
    "\n",
    "# discover 'best' dbpn model according to an eval set\n",
    "best_dbpn_model = None\n",
    "best_val = -1\n",
    "prev_file = None\n",
    "\n",
    "\n",
    "#################################################################\n",
    "#\n",
    "# Parameters:\n",
    "#   alpha  - Loss weight from SuperV Net-S\n",
    "#   beta   - Loss weight from Detect Net-D\n",
    "#   pickle - Pickle file name for all data records\n",
    "#\n",
    "#################################################################\n",
    "def train(SDnet, alpha = 1.0, beta = 1.0, pfname='a100b100.pkl'):\n",
    "    best_val = -1\n",
    "    prev_file = None\n",
    "    pfix = pfname.split('/')[-1].split('.')[0]\n",
    "    \n",
    "    net = SDnet\n",
    "    # current lr\n",
    "    lrt = opt.lr\n",
    "    \n",
    "    # Dictionary to pickle all training/validation data\n",
    "    trainval = {}\n",
    "    \n",
    "    # Following list are appended continously fr. Start2End\n",
    "    # In unit sampling period of each validating invocation.\n",
    "    # total running epochs\n",
    "    epos = []\n",
    "    # total running iterations vs. per epoch\n",
    "    itrs = []\n",
    "    # mean SROD training (compound) losses btw. validation\n",
    "    mlos = []\n",
    "    # mean APs,   sampled at each validation\n",
    "    maps = []\n",
    "    # mean PSNRs, sampled at each validation\n",
    "    mpsn = []\n",
    "    # mean SSIMs, sampled at each validation\n",
    "    msim = []\n",
    "    # current learning rate\n",
    "    clr  = []\n",
    "    \n",
    "\n",
    "    # Criterions:\n",
    "    #\n",
    "    # net SR loss function, change to L2 later\n",
    "    criterion_sr = nn.MSELoss()\n",
    "\n",
    "    # ssd loss function\n",
    "    criterion_ssd = MultiBoxLoss(voc['num_classes'], 0.5, True, 0, True, 3, 0.5, False, use_gpu=cuda)\n",
    "\n",
    "    if cuda:\n",
    "        torch.set_default_tensor_type('torch.cuda.FloatTensor')\n",
    "        #net.supervis = torch.nn.DataParallel(net.supervis)\n",
    "        cudnn.benchmark = True\n",
    "        net = net.cuda(gpus_list[0])\n",
    "        criterion_sr = criterion_sr.cuda(gpus_list[0])\n",
    "        criterion_ssd = criterion_ssd.cuda(gpus_list[0])\n",
    "\n",
    "\n",
    "    # optimizer = optim.SGD(net.supervis.parameters(), lr=opt.lr, \\\n",
    "    #                       momentum=opt.momentum, weight_decay=opt.weight_decay)\n",
    "    #\n",
    "    # Use universal Adam first :)\n",
    "    # we can be Specific to what part of network's parameters to optimize, here is SuperR Net\n",
    "    optimizer = optim.Adam(net.supervis.parameters(), lr=opt.lr, betas=(0.9, 0.999), eps=1e-8)\n",
    "    \n",
    "    # set model to training mode\n",
    "    net.train()\n",
    "    mAP_int = 0\n",
    "    \n",
    "    #max_iter = 20000\n",
    "    max_iter  =  5600    # Approx. within 1 Epoch 5600/5770\n",
    "    decay_step = 0\n",
    "    for epoch in range(1, Epochs + 1):\n",
    "        t_0 = time()\n",
    "        epoch_loss = 0\n",
    "        iters_loss = 0\n",
    "        for iteration, batch in enumerate(sd_data_loader, 1):\n",
    "\n",
    "            if iteration == max_iter + 1:\n",
    "                break\n",
    "            if epoch in decay_steps and iteration == 1:\n",
    "                decay_step += 1\n",
    "                lrt = adjust_learning_rate(optimizer, gamma, decay_step)\n",
    "\n",
    "            # input is LR image; sr_target is pseudo (300x300) original HR image, det_target is bboxes\n",
    "            input, sr_target, det_target = batch[0], batch[1], batch[2]\n",
    "            if cuda:\n",
    "                input = Variable(input.cuda(gpus_list[0]))\n",
    "                sr_target = Variable(sr_target.cuda(gpus_list[0]))\n",
    "                det_target = [Variable(ann.cuda(gpus_list[0]), volatile=True) for ann in det_target]\n",
    "            else:\n",
    "                input = Variable(input)\n",
    "                sr_target = Variable(sr_target)\n",
    "                det_target = [Variable(ann, volatile=True) for ann in det_target]\n",
    "\n",
    "            optimizer.zero_grad()\n",
    "            t0 = time()\n",
    "\n",
    "            sr_out,ssd_out = net(input)\n",
    "            \n",
    "            if opt.ploss == False:\n",
    "                loss_sr = criterion_sr(sr_out, sr_target)\n",
    "            else:\n",
    "                # Compute Perceptual Loss\n",
    "                sr_hair_feature = vgg(sr_out)\n",
    "                sr_feature = vgg(sr_target)\n",
    "                loss_sr = mse_loss(sr_feature[1],sr_hair_feature[1])\n",
    "\n",
    "            # Compound Loss from net-S: loss_sr and net-D: loss_l, loss_c\n",
    "            loss_l, loss_c = criterion_ssd(ssd_out, det_target)\n",
    "            loss = loss_sr * alpha + beta *(loss_l + loss_c)\n",
    "\n",
    "            epoch_loss += loss.data[0]\n",
    "            iters_loss += loss.data[0]\n",
    "            loss.backward()\n",
    "            optimizer.step()\n",
    "            t1 = time()\n",
    "\n",
    "            if iteration != 0 and iteration % 20 == 0:\n",
    "                print(\"===> Epoch[{}]({}/{}): Loss: {:.4f} || Time: {:.4f} sec.\".format(epoch, \\\n",
    "                            iteration, len(sd_data_loader), loss.data[0], (t1 - t0)))\n",
    "\n",
    "            # End Task (detection) & Imaging Quality Evaluation vs. Model Loss steps below:\n",
    "            if iteration != 0 and iteration % 200 == 0:\n",
    "                mItersLoss = iters_loss / 200\n",
    "                iters_loss = 0\n",
    "                net.eval()\n",
    "                t2 = time()\n",
    "                i, ssim, psnr  = 0, 0, 0\n",
    "                for iter, bat in enumerate(eval_loader, 1):\n",
    "                    # loader output:  lr,     hr,   fname\n",
    "                    lr, hr, fname = bat[0], bat[1], bat[2]\n",
    "                    # lr, hr, fname = eval_set.pull_item(i)\n",
    "                    if cuda:\n",
    "                        lr_v = Variable(lr.cuda(gpus_list[0]))\n",
    "                    else:\n",
    "                        lr_v = Variable(lr)\n",
    "                    sr, _ = net(lr_v)\n",
    "                    srimg = sr.cpu().data\n",
    "                    hrimg = hr.data\n",
    "\n",
    "                    # Struct Similarity Index & Peak Signal-Noise Ratio\n",
    "                    ssim += metric_ssim(hrimg.numpy(), srimg.numpy())\n",
    "                    psnr += metric_psnr(hrimg.numpy(), srimg.numpy())\n",
    "                    i += 1\n",
    "                    #print(\"ssim, psnr:\", ssim, psnr)\n",
    "\n",
    "                    image=srimg\n",
    "                    image = (image - image.min())/(image.max() - image.min())\n",
    "                    imagef = os.path.join('./dataset/VOC07-SR-x4/', '%s.jpg')\n",
    "                    save_img(image, imagef % fname)\n",
    "\n",
    "                mSSIM = ssim / i\n",
    "                mPSNR = psnr / i\n",
    "                mAP_acc = mAP_eval()\n",
    "                t3 = time()\n",
    "                print(\"Mean Loss = {:.4f}, Mean AP = {:.4f}, Mean SSIM = {:.4f}, Mean PSNR = {:.4f} || Time: {:.4f} sec.\"\\\n",
    "                      .format(mItersLoss, mAP_acc, mSSIM, mPSNR, (t3 - t2)))\n",
    "\n",
    "                # Updating lists to be pickled\n",
    "                epos.append(epoch)\n",
    "                itrs.append(iteration + max_iter*(epoch-1))\n",
    "                mlos.append(float(mItersLoss))\n",
    "                maps.append(mAP_acc)\n",
    "                mpsn.append(mPSNR)\n",
    "                msim.append(mSSIM)\n",
    "                clr.append(lrt)\n",
    "\n",
    "                mAP_int = int(mAP_acc * 10000)     #  2318 =>  23.18 %\n",
    "                mPSNR_i = int(mPSNR * 100)         #  2318 =>  23.18 dB\n",
    "                if math.isnan(mSSIM):\n",
    "                    mSSIM_i = 'NaN'\n",
    "                else:\n",
    "                    mSSIM_i = int(mSSIM * 10000)   #  2318 => 0.2318\n",
    "                if mAP_int > best_val:\n",
    "                    best_val = mAP_int\n",
    "                    if prev_file is not None:\n",
    "                        os.remove(prev_file)\n",
    "                    chkfile = opt.checkpt + '/' + 'SRx4_e' + repr(epoch) + '_i' + repr(iteration) + '_mAP' + \\\n",
    "                              repr(best_val) + '_' + pfix + '_mPSNR' + repr(mPSNR_i) + '_mSSIM' + repr(mSSIM_i) + '.pth'\n",
    "                    torch.save(net.supervis.state_dict(), chkfile)\n",
    "                    prev_file = chkfile\n",
    "\n",
    "                # back to training mode\n",
    "                net.train()\n",
    "\n",
    "            if iteration != 0 and iteration % 1000 == 0:\n",
    "                print('Saving state, iter:', iteration)\n",
    "                torch.save(net.supervis.state_dict(), opt.checkpt + '/' + 'SRx4_e' + repr(epoch) + \\\n",
    "                           '_i' + repr(iteration) + '_mAP' + repr(mAP_int) + '_' + pfix + '.pth')\n",
    "        t_1 = time()\n",
    "        print(\"===> Epoch {} Complete: Avg. Loss: {:.4f} || Time: {:.4f} sec.\"\\\n",
    "              .format(epoch, epoch_loss / (max_iter * tbz), (t_1 - t_0)))\n",
    "\n",
    "    # pickle all the data records\n",
    "    trainval['epochs'] = epos\n",
    "    trainval['iters'] = itrs\n",
    "    trainval['mloss'] = mlos\n",
    "    trainval['m_aps'] = maps\n",
    "    trainval['mpsnr'] = mpsn\n",
    "    trainval['mssim'] = msim\n",
    "    trainval['lrate'] = clr\n",
    "    with open(pfname, 'wb') as f:\n",
    "        pickle.dump(trainval, f)\n",
    "        \n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "__main__:115: UserWarning: volatile was removed and now has no effect. Use `with torch.no_grad():` instead.\n",
      "__main__:131: UserWarning: invalid index of a 0-dim tensor. This will be an error in PyTorch 0.5. Use tensor.item() to convert a 0-dim tensor to a Python number\n",
      "__main__:132: UserWarning: invalid index of a 0-dim tensor. This will be an error in PyTorch 0.5. Use tensor.item() to convert a 0-dim tensor to a Python number\n",
      "__main__:138: UserWarning: invalid index of a 0-dim tensor. This will be an error in PyTorch 0.5. Use tensor.item() to convert a 0-dim tensor to a Python number\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> Epoch[1](20/5770): Loss: 19962.4590 || Time: 0.3309 sec.\n",
      "===> Epoch[1](40/5770): Loss: 2152.7407 || Time: 0.3231 sec.\n",
      "===> Epoch[1](60/5770): Loss: 1744.4287 || Time: 0.3235 sec.\n",
      "===> Epoch[1](80/5770): Loss: 1572.7965 || Time: 0.3256 sec.\n",
      "===> Epoch[1](100/5770): Loss: 1161.6384 || Time: 0.3279 sec.\n",
      "===> Epoch[1](120/5770): Loss: 854.1193 || Time: 0.3262 sec.\n",
      "===> Epoch[1](140/5770): Loss: 1442.5859 || Time: 0.3271 sec.\n",
      "===> Epoch[1](160/5770): Loss: 1123.3821 || Time: 0.3267 sec.\n",
      "===> Epoch[1](180/5770): Loss: 1310.5184 || Time: 0.3265 sec.\n",
      "===> Epoch[1](200/5770): Loss: 486.3425 || Time: 0.3352 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 3842.9856, Mean AP = 0.0735, Mean SSIM = 0.8028, Mean PSNR = 19.1769 || Time: 10.5015 sec.\n",
      "===> Epoch[1](220/5770): Loss: 655.1283 || Time: 0.3279 sec.\n",
      "===> Epoch[1](240/5770): Loss: 883.7861 || Time: 0.3284 sec.\n",
      "===> Epoch[1](260/5770): Loss: 669.7334 || Time: 0.3284 sec.\n",
      "===> Epoch[1](280/5770): Loss: 477.6986 || Time: 0.3274 sec.\n",
      "===> Epoch[1](300/5770): Loss: 579.8670 || Time: 0.3485 sec.\n",
      "===> Epoch[1](320/5770): Loss: 492.4929 || Time: 0.3298 sec.\n",
      "===> Epoch[1](340/5770): Loss: 564.7527 || Time: 0.3311 sec.\n",
      "===> Epoch[1](360/5770): Loss: 702.1260 || Time: 0.3355 sec.\n",
      "===> Epoch[1](380/5770): Loss: 797.0160 || Time: 0.3285 sec.\n",
      "===> Epoch[1](400/5770): Loss: 741.2823 || Time: 0.3311 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 714.8915, Mean AP = 0.2276, Mean SSIM = 0.8888, Mean PSNR = 21.0967 || Time: 9.7849 sec.\n",
      "===> Epoch[1](420/5770): Loss: 324.7355 || Time: 0.3276 sec.\n",
      "===> Epoch[1](440/5770): Loss: 889.9927 || Time: 0.3312 sec.\n",
      "===> Epoch[1](460/5770): Loss: 321.7164 || Time: 0.3270 sec.\n",
      "===> Epoch[1](480/5770): Loss: 220.4678 || Time: 0.3294 sec.\n",
      "===> Epoch[1](500/5770): Loss: 797.5678 || Time: 0.3293 sec.\n",
      "===> Epoch[1](520/5770): Loss: 428.6272 || Time: 0.3294 sec.\n",
      "===> Epoch[1](540/5770): Loss: 534.4704 || Time: 0.3320 sec.\n",
      "===> Epoch[1](560/5770): Loss: 389.5035 || Time: 0.3391 sec.\n",
      "===> Epoch[1](580/5770): Loss: 616.5013 || Time: 0.3290 sec.\n",
      "===> Epoch[1](600/5770): Loss: 138.4104 || Time: 0.3427 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 467.4378, Mean AP = 0.3631, Mean SSIM = 0.9128, Mean PSNR = 22.1511 || Time: 9.8104 sec.\n",
      "===> Epoch[1](620/5770): Loss: 402.5259 || Time: 0.3310 sec.\n",
      "===> Epoch[1](640/5770): Loss: 363.9500 || Time: 0.3293 sec.\n",
      "===> Epoch[1](660/5770): Loss: 241.1500 || Time: 0.3283 sec.\n",
      "===> Epoch[1](680/5770): Loss: 369.6674 || Time: 0.3364 sec.\n",
      "===> Epoch[1](700/5770): Loss: 508.4168 || Time: 0.3365 sec.\n",
      "===> Epoch[1](720/5770): Loss: 208.8355 || Time: 0.3341 sec.\n",
      "===> Epoch[1](740/5770): Loss: 663.9515 || Time: 0.3542 sec.\n",
      "===> Epoch[1](760/5770): Loss: 444.1342 || Time: 0.3335 sec.\n",
      "===> Epoch[1](780/5770): Loss: 750.6775 || Time: 0.3331 sec.\n",
      "===> Epoch[1](800/5770): Loss: 392.7874 || Time: 0.3331 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 442.4305, Mean AP = 0.4149, Mean SSIM = 0.8907, Mean PSNR = 21.1736 || Time: 10.0337 sec.\n",
      "===> Epoch[1](820/5770): Loss: 509.1310 || Time: 0.3380 sec.\n",
      "===> Epoch[1](840/5770): Loss: 581.2968 || Time: 0.3348 sec.\n",
      "===> Epoch[1](860/5770): Loss: 429.1798 || Time: 0.3676 sec.\n",
      "===> Epoch[1](880/5770): Loss: 569.7458 || Time: 0.3404 sec.\n",
      "===> Epoch[1](900/5770): Loss: 560.3793 || Time: 0.3302 sec.\n",
      "===> Epoch[1](920/5770): Loss: 289.0607 || Time: 0.3329 sec.\n",
      "===> Epoch[1](940/5770): Loss: 516.0062 || Time: 0.3353 sec.\n",
      "===> Epoch[1](960/5770): Loss: 179.2435 || Time: 0.3543 sec.\n",
      "===> Epoch[1](980/5770): Loss: 589.0175 || Time: 0.3342 sec.\n",
      "===> Epoch[1](1000/5770): Loss: 179.2745 || Time: 0.3320 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 407.4937, Mean AP = 0.4354, Mean SSIM = 0.9111, Mean PSNR = 22.5927 || Time: 9.9484 sec.\n",
      "Saving state, iter: 1000\n",
      "===> Epoch[1](1020/5770): Loss: 343.0554 || Time: 0.3290 sec.\n",
      "===> Epoch[1](1040/5770): Loss: 748.0377 || Time: 0.3314 sec.\n",
      "===> Epoch[1](1060/5770): Loss: 241.8981 || Time: 0.3531 sec.\n",
      "===> Epoch[1](1080/5770): Loss: 723.4313 || Time: 0.3342 sec.\n",
      "===> Epoch[1](1100/5770): Loss: 591.3440 || Time: 0.3353 sec.\n",
      "===> Epoch[1](1120/5770): Loss: 392.7340 || Time: 0.3318 sec.\n",
      "===> Epoch[1](1140/5770): Loss: 297.7467 || Time: 0.3313 sec.\n",
      "===> Epoch[1](1160/5770): Loss: 317.8988 || Time: 0.3391 sec.\n",
      "===> Epoch[1](1180/5770): Loss: 274.4872 || Time: 0.3494 sec.\n",
      "===> Epoch[1](1200/5770): Loss: 268.2950 || Time: 0.3303 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 419.3596, Mean AP = 0.4162, Mean SSIM = 0.9217, Mean PSNR = 22.6592 || Time: 10.0491 sec.\n",
      "===> Epoch[1](1220/5770): Loss: 470.7269 || Time: 0.3300 sec.\n",
      "===> Epoch[1](1240/5770): Loss: 432.5131 || Time: 0.3291 sec.\n",
      "===> Epoch[1](1260/5770): Loss: 731.3036 || Time: 0.3353 sec.\n",
      "===> Epoch[1](1280/5770): Loss: 436.5161 || Time: 0.3405 sec.\n",
      "===> Epoch[1](1300/5770): Loss: 184.6133 || Time: 0.3422 sec.\n",
      "===> Epoch[1](1320/5770): Loss: 521.9168 || Time: 0.3561 sec.\n",
      "===> Epoch[1](1340/5770): Loss: 320.6027 || Time: 0.3345 sec.\n",
      "===> Epoch[1](1360/5770): Loss: 242.7783 || Time: 0.3344 sec.\n",
      "===> Epoch[1](1380/5770): Loss: 382.5108 || Time: 0.3427 sec.\n",
      "===> Epoch[1](1400/5770): Loss: 466.4448 || Time: 0.3884 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 405.7221, Mean AP = 0.4693, Mean SSIM = 0.8982, Mean PSNR = 22.0699 || Time: 10.2740 sec.\n",
      "===> Epoch[1](1420/5770): Loss: 446.5482 || Time: 0.3302 sec.\n",
      "===> Epoch[1](1440/5770): Loss: 384.4385 || Time: 0.3342 sec.\n",
      "===> Epoch[1](1460/5770): Loss: 455.8633 || Time: 0.3318 sec.\n",
      "===> Epoch[1](1480/5770): Loss: 281.5654 || Time: 0.3439 sec.\n",
      "===> Epoch[1](1500/5770): Loss: 472.3586 || Time: 0.3543 sec.\n",
      "===> Epoch[1](1520/5770): Loss: 328.2479 || Time: 0.3447 sec.\n",
      "===> Epoch[1](1540/5770): Loss: 324.1802 || Time: 0.3549 sec.\n",
      "===> Epoch[1](1560/5770): Loss: 522.6807 || Time: 0.3409 sec.\n",
      "===> Epoch[1](1580/5770): Loss: 196.8740 || Time: 0.3328 sec.\n",
      "===> Epoch[1](1600/5770): Loss: 154.4819 || Time: 0.3427 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 415.9966, Mean AP = 0.4233, Mean SSIM = 0.9329, Mean PSNR = 23.0506 || Time: 10.1346 sec.\n",
      "===> Epoch[1](1620/5770): Loss: 447.1541 || Time: 0.3282 sec.\n",
      "===> Epoch[1](1640/5770): Loss: 505.7042 || Time: 0.3667 sec.\n",
      "===> Epoch[1](1660/5770): Loss: 215.1850 || Time: 0.3361 sec.\n",
      "===> Epoch[1](1680/5770): Loss: 307.1812 || Time: 0.3311 sec.\n",
      "===> Epoch[1](1700/5770): Loss: 434.3980 || Time: 0.3455 sec.\n",
      "===> Epoch[1](1720/5770): Loss: 473.7581 || Time: 0.3382 sec.\n",
      "===> Epoch[1](1740/5770): Loss: 753.4255 || Time: 0.3364 sec.\n",
      "===> Epoch[1](1760/5770): Loss: 390.6453 || Time: 0.3553 sec.\n",
      "===> Epoch[1](1780/5770): Loss: 423.7807 || Time: 0.3392 sec.\n",
      "===> Epoch[1](1800/5770): Loss: 159.7290 || Time: 0.3393 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 384.9063, Mean AP = 0.4562, Mean SSIM = 0.9277, Mean PSNR = 23.0588 || Time: 10.1570 sec.\n",
      "===> Epoch[1](1820/5770): Loss: 169.1523 || Time: 0.3304 sec.\n",
      "===> Epoch[1](1840/5770): Loss: 542.2388 || Time: 0.3308 sec.\n",
      "===> Epoch[1](1860/5770): Loss: 379.6072 || Time: 0.3401 sec.\n",
      "===> Epoch[1](1880/5770): Loss: 298.7094 || Time: 0.3333 sec.\n",
      "===> Epoch[1](1900/5770): Loss: 227.5883 || Time: 0.3321 sec.\n",
      "===> Epoch[1](1920/5770): Loss: 368.9910 || Time: 0.3550 sec.\n",
      "===> Epoch[1](1940/5770): Loss: 197.4484 || Time: 0.3331 sec.\n",
      "===> Epoch[1](1960/5770): Loss: 290.6249 || Time: 0.3406 sec.\n",
      "===> Epoch[1](1980/5770): Loss: 329.1076 || Time: 0.3466 sec.\n",
      "===> Epoch[1](2000/5770): Loss: 391.7779 || Time: 0.3303 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 373.9319, Mean AP = 0.4693, Mean SSIM = 0.8512, Mean PSNR = 21.6382 || Time: 9.9699 sec.\n",
      "Saving state, iter: 2000\n",
      "===> Epoch[1](2020/5770): Loss: 238.0609 || Time: 0.3291 sec.\n",
      "===> Epoch[1](2040/5770): Loss: 772.4156 || Time: 0.3540 sec.\n",
      "===> Epoch[1](2060/5770): Loss: 333.0697 || Time: 0.3487 sec.\n",
      "===> Epoch[1](2080/5770): Loss: 254.4748 || Time: 0.3369 sec.\n",
      "===> Epoch[1](2100/5770): Loss: 267.4037 || Time: 0.3465 sec.\n",
      "===> Epoch[1](2120/5770): Loss: 205.6643 || Time: 0.3441 sec.\n",
      "===> Epoch[1](2140/5770): Loss: 358.6887 || Time: 0.3319 sec.\n",
      "===> Epoch[1](2160/5770): Loss: 372.3495 || Time: 0.3459 sec.\n",
      "===> Epoch[1](2180/5770): Loss: 374.0704 || Time: 0.3372 sec.\n",
      "===> Epoch[1](2200/5770): Loss: 525.6256 || Time: 0.3581 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 383.2058, Mean AP = 0.4759, Mean SSIM = 0.9356, Mean PSNR = 23.3499 || Time: 10.1967 sec.\n",
      "===> Epoch[1](2220/5770): Loss: 200.6993 || Time: 0.3305 sec.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> Epoch[1](2240/5770): Loss: 335.9167 || Time: 0.3285 sec.\n",
      "===> Epoch[1](2260/5770): Loss: 206.7149 || Time: 0.3325 sec.\n",
      "===> Epoch[1](2280/5770): Loss: 526.8494 || Time: 0.3562 sec.\n",
      "===> Epoch[1](2300/5770): Loss: 396.3829 || Time: 0.3499 sec.\n",
      "===> Epoch[1](2320/5770): Loss: 173.5297 || Time: 0.3741 sec.\n",
      "===> Epoch[1](2340/5770): Loss: 657.5825 || Time: 0.3393 sec.\n",
      "===> Epoch[1](2360/5770): Loss: 155.3345 || Time: 0.3434 sec.\n",
      "===> Epoch[1](2380/5770): Loss: 436.9774 || Time: 0.3307 sec.\n",
      "===> Epoch[1](2400/5770): Loss: 282.4861 || Time: 0.3487 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 369.8850, Mean AP = 0.4993, Mean SSIM = 0.9259, Mean PSNR = 23.3462 || Time: 9.9837 sec.\n",
      "===> Epoch[1](2420/5770): Loss: 190.7076 || Time: 0.3320 sec.\n",
      "===> Epoch[1](2440/5770): Loss: 623.2490 || Time: 0.3344 sec.\n",
      "===> Epoch[1](2460/5770): Loss: 155.6670 || Time: 0.3334 sec.\n",
      "===> Epoch[1](2480/5770): Loss: 517.0908 || Time: 0.3361 sec.\n",
      "===> Epoch[1](2500/5770): Loss: 196.7940 || Time: 0.3366 sec.\n",
      "===> Epoch[1](2520/5770): Loss: 404.2943 || Time: 0.3349 sec.\n",
      "===> Epoch[1](2540/5770): Loss: 498.6937 || Time: 0.3349 sec.\n",
      "===> Epoch[1](2560/5770): Loss: 670.9145 || Time: 0.3333 sec.\n",
      "===> Epoch[1](2580/5770): Loss: 743.0428 || Time: 0.3420 sec.\n",
      "===> Epoch[1](2600/5770): Loss: 259.9941 || Time: 0.3365 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 334.1167, Mean AP = 0.5137, Mean SSIM = 0.9347, Mean PSNR = 23.4136 || Time: 10.1516 sec.\n",
      "===> Epoch[1](2620/5770): Loss: 124.8743 || Time: 0.3291 sec.\n",
      "===> Epoch[1](2640/5770): Loss: 288.7497 || Time: 0.3312 sec.\n",
      "===> Epoch[1](2660/5770): Loss: 189.0144 || Time: 0.3412 sec.\n",
      "===> Epoch[1](2680/5770): Loss: 548.6327 || Time: 0.3401 sec.\n",
      "===> Epoch[1](2700/5770): Loss: 366.8656 || Time: 0.3445 sec.\n",
      "===> Epoch[1](2720/5770): Loss: 452.9695 || Time: 0.3569 sec.\n",
      "===> Epoch[1](2740/5770): Loss: 334.2084 || Time: 0.3388 sec.\n",
      "===> Epoch[1](2760/5770): Loss: 161.3727 || Time: 0.3438 sec.\n",
      "===> Epoch[1](2780/5770): Loss: 661.6209 || Time: 0.3514 sec.\n",
      "===> Epoch[1](2800/5770): Loss: 221.3517 || Time: 0.3358 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 348.4942, Mean AP = 0.4916, Mean SSIM = 0.9393, Mean PSNR = 23.5247 || Time: 10.2342 sec.\n",
      "===> Epoch[1](2820/5770): Loss: 276.0445 || Time: 0.3291 sec.\n",
      "===> Epoch[1](2840/5770): Loss: 154.7898 || Time: 0.3407 sec.\n",
      "===> Epoch[1](2860/5770): Loss: 235.9609 || Time: 0.3434 sec.\n",
      "===> Epoch[1](2880/5770): Loss: 409.4399 || Time: 0.3374 sec.\n",
      "===> Epoch[1](2900/5770): Loss: 972.5929 || Time: 0.3658 sec.\n",
      "===> Epoch[1](2920/5770): Loss: 483.7243 || Time: 0.3429 sec.\n",
      "===> Epoch[1](2940/5770): Loss: 773.4436 || Time: 0.3417 sec.\n",
      "===> Epoch[1](2960/5770): Loss: 373.9985 || Time: 0.3376 sec.\n",
      "===> Epoch[1](2980/5770): Loss: 320.3534 || Time: 0.3431 sec.\n",
      "===> Epoch[1](3000/5770): Loss: 277.5425 || Time: 0.3482 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 349.7512, Mean AP = 0.5171, Mean SSIM = 0.9406, Mean PSNR = 23.0453 || Time: 10.3598 sec.\n",
      "Saving state, iter: 3000\n",
      "===> Epoch[1](3020/5770): Loss: 418.8242 || Time: 0.3279 sec.\n",
      "===> Epoch[1](3040/5770): Loss: 362.2163 || Time: 0.3370 sec.\n",
      "===> Epoch[1](3060/5770): Loss: 511.0401 || Time: 0.3460 sec.\n",
      "===> Epoch[1](3080/5770): Loss: 350.8455 || Time: 0.3308 sec.\n",
      "===> Epoch[1](3100/5770): Loss: 577.4215 || Time: 0.3313 sec.\n",
      "===> Epoch[1](3120/5770): Loss: 110.4920 || Time: 0.3431 sec.\n",
      "===> Epoch[1](3140/5770): Loss: 214.7695 || Time: 0.3411 sec.\n",
      "===> Epoch[1](3160/5770): Loss: 217.8897 || Time: 0.3342 sec.\n",
      "===> Epoch[1](3180/5770): Loss: 431.8502 || Time: 0.3374 sec.\n",
      "===> Epoch[1](3200/5770): Loss: 375.2871 || Time: 0.3481 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 327.8546, Mean AP = 0.5292, Mean SSIM = 0.9372, Mean PSNR = 23.6750 || Time: 10.0435 sec.\n",
      "===> Epoch[1](3220/5770): Loss: 252.7970 || Time: 0.3346 sec.\n",
      "===> Epoch[1](3240/5770): Loss: 288.8588 || Time: 0.3349 sec.\n",
      "===> Epoch[1](3260/5770): Loss: 692.4763 || Time: 0.3412 sec.\n",
      "===> Epoch[1](3280/5770): Loss: 174.0841 || Time: 0.3335 sec.\n",
      "===> Epoch[1](3300/5770): Loss: 273.2977 || Time: 0.3426 sec.\n",
      "===> Epoch[1](3320/5770): Loss: 383.8454 || Time: 0.3361 sec.\n",
      "===> Epoch[1](3340/5770): Loss: 341.3466 || Time: 0.3427 sec.\n",
      "===> Epoch[1](3360/5770): Loss: 309.3706 || Time: 0.3391 sec.\n",
      "===> Epoch[1](3380/5770): Loss: 392.3757 || Time: 0.3388 sec.\n",
      "===> Epoch[1](3400/5770): Loss: 200.1457 || Time: 0.3311 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 320.3998, Mean AP = 0.5038, Mean SSIM = 0.9410, Mean PSNR = 23.6672 || Time: 10.1481 sec.\n",
      "===> Epoch[1](3420/5770): Loss: 325.0061 || Time: 0.3300 sec.\n",
      "===> Epoch[1](3440/5770): Loss: 363.9124 || Time: 0.3327 sec.\n",
      "===> Epoch[1](3460/5770): Loss: 134.2910 || Time: 0.3440 sec.\n",
      "===> Epoch[1](3480/5770): Loss: 81.2406 || Time: 0.3340 sec.\n",
      "===> Epoch[1](3500/5770): Loss: 314.7119 || Time: 0.3551 sec.\n",
      "===> Epoch[1](3520/5770): Loss: 354.2392 || Time: 0.3368 sec.\n",
      "===> Epoch[1](3540/5770): Loss: 144.5562 || Time: 0.3664 sec.\n",
      "===> Epoch[1](3560/5770): Loss: 188.9596 || Time: 0.3396 sec.\n",
      "===> Epoch[1](3580/5770): Loss: 295.6168 || Time: 0.3347 sec.\n",
      "===> Epoch[1](3600/5770): Loss: 239.4187 || Time: 0.3339 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 305.7079, Mean AP = 0.4836, Mean SSIM = 0.9297, Mean PSNR = 23.4412 || Time: 10.0257 sec.\n",
      "===> Epoch[1](3620/5770): Loss: 412.5027 || Time: 0.3359 sec.\n",
      "===> Epoch[1](3640/5770): Loss: 240.0911 || Time: 0.3327 sec.\n",
      "===> Epoch[1](3660/5770): Loss: 187.3740 || Time: 0.3456 sec.\n",
      "===> Epoch[1](3680/5770): Loss: 447.7843 || Time: 0.3468 sec.\n",
      "===> Epoch[1](3700/5770): Loss: 225.6095 || Time: 0.3383 sec.\n",
      "===> Epoch[1](3720/5770): Loss: 692.5060 || Time: 0.3384 sec.\n",
      "===> Epoch[1](3740/5770): Loss: 324.6382 || Time: 0.3516 sec.\n",
      "===> Epoch[1](3760/5770): Loss: 219.2664 || Time: 0.3319 sec.\n",
      "===> Epoch[1](3780/5770): Loss: 301.4258 || Time: 0.3457 sec.\n",
      "===> Epoch[1](3800/5770): Loss: 91.8799 || Time: 0.3456 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 291.0254, Mean AP = 0.4961, Mean SSIM = 0.9434, Mean PSNR = 23.8413 || Time: 10.0928 sec.\n",
      "===> Epoch[1](3820/5770): Loss: 173.1623 || Time: 0.3316 sec.\n",
      "===> Epoch[1](3840/5770): Loss: 214.7400 || Time: 0.3363 sec.\n",
      "===> Epoch[1](3860/5770): Loss: 230.5091 || Time: 0.3334 sec.\n",
      "===> Epoch[1](3880/5770): Loss: 232.4971 || Time: 0.3314 sec.\n",
      "===> Epoch[1](3900/5770): Loss: 290.3706 || Time: 0.3491 sec.\n",
      "===> Epoch[1](3920/5770): Loss: 242.3552 || Time: 0.3371 sec.\n",
      "===> Epoch[1](3940/5770): Loss: 99.2134 || Time: 0.3471 sec.\n",
      "===> Epoch[1](3960/5770): Loss: 484.0791 || Time: 0.3416 sec.\n",
      "===> Epoch[1](3980/5770): Loss: 375.0831 || Time: 0.3324 sec.\n",
      "===> Epoch[1](4000/5770): Loss: 277.9697 || Time: 0.3314 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 307.3022, Mean AP = 0.5031, Mean SSIM = 0.9354, Mean PSNR = 23.7155 || Time: 10.1014 sec.\n",
      "Saving state, iter: 4000\n",
      "===> Epoch[1](4020/5770): Loss: 109.1156 || Time: 0.3349 sec.\n",
      "===> Epoch[1](4040/5770): Loss: 388.7656 || Time: 0.3354 sec.\n",
      "===> Epoch[1](4060/5770): Loss: 177.8510 || Time: 0.3410 sec.\n",
      "===> Epoch[1](4080/5770): Loss: 297.4317 || Time: 0.3387 sec.\n",
      "===> Epoch[1](4100/5770): Loss: 115.9846 || Time: 0.3509 sec.\n",
      "===> Epoch[1](4120/5770): Loss: 296.9189 || Time: 0.3422 sec.\n",
      "===> Epoch[1](4140/5770): Loss: 204.1900 || Time: 0.3383 sec.\n",
      "===> Epoch[1](4160/5770): Loss: 163.2731 || Time: 0.3499 sec.\n",
      "===> Epoch[1](4180/5770): Loss: 270.6938 || Time: 0.3498 sec.\n",
      "===> Epoch[1](4200/5770): Loss: 410.3741 || Time: 0.3341 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 295.8796, Mean AP = 0.4975, Mean SSIM = 0.9354, Mean PSNR = 22.8293 || Time: 10.1461 sec.\n",
      "===> Epoch[1](4220/5770): Loss: 384.0117 || Time: 0.3270 sec.\n",
      "===> Epoch[1](4240/5770): Loss: 240.3301 || Time: 0.3281 sec.\n",
      "===> Epoch[1](4260/5770): Loss: 273.8521 || Time: 0.3384 sec.\n",
      "===> Epoch[1](4280/5770): Loss: 94.8458 || Time: 0.3448 sec.\n",
      "===> Epoch[1](4300/5770): Loss: 259.9025 || Time: 0.3384 sec.\n",
      "===> Epoch[1](4320/5770): Loss: 454.0562 || Time: 0.3316 sec.\n",
      "===> Epoch[1](4340/5770): Loss: 663.7573 || Time: 0.3432 sec.\n",
      "===> Epoch[1](4360/5770): Loss: 162.4833 || Time: 0.3381 sec.\n",
      "===> Epoch[1](4380/5770): Loss: 116.3877 || Time: 0.3511 sec.\n",
      "===> Epoch[1](4400/5770): Loss: 612.6769 || Time: 0.3329 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 304.7194, Mean AP = 0.5069, Mean SSIM = 0.9437, Mean PSNR = 23.9731 || Time: 10.0418 sec.\n",
      "===> Epoch[1](4420/5770): Loss: 114.3657 || Time: 0.3351 sec.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> Epoch[1](4440/5770): Loss: 153.7265 || Time: 0.3560 sec.\n",
      "===> Epoch[1](4460/5770): Loss: 97.0678 || Time: 0.3490 sec.\n",
      "===> Epoch[1](4480/5770): Loss: 380.6863 || Time: 0.3475 sec.\n",
      "===> Epoch[1](4500/5770): Loss: 275.9283 || Time: 0.3344 sec.\n",
      "===> Epoch[1](4520/5770): Loss: 330.7005 || Time: 0.3380 sec.\n",
      "===> Epoch[1](4540/5770): Loss: 605.9132 || Time: 0.3439 sec.\n",
      "===> Epoch[1](4560/5770): Loss: 328.2525 || Time: 0.3455 sec.\n",
      "===> Epoch[1](4580/5770): Loss: 301.2651 || Time: 0.3438 sec.\n",
      "===> Epoch[1](4600/5770): Loss: 381.5839 || Time: 0.3513 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 306.1140, Mean AP = 0.4902, Mean SSIM = 0.9448, Mean PSNR = 23.9749 || Time: 10.1693 sec.\n",
      "===> Epoch[1](4620/5770): Loss: 395.7127 || Time: 0.3345 sec.\n",
      "===> Epoch[1](4640/5770): Loss: 422.4920 || Time: 0.3327 sec.\n",
      "===> Epoch[1](4660/5770): Loss: 64.9264 || Time: 0.3425 sec.\n",
      "===> Epoch[1](4680/5770): Loss: 138.6691 || Time: 0.3478 sec.\n",
      "===> Epoch[1](4700/5770): Loss: 301.8798 || Time: 0.3405 sec.\n",
      "===> Epoch[1](4720/5770): Loss: 191.7370 || Time: 0.3420 sec.\n",
      "===> Epoch[1](4740/5770): Loss: 151.6119 || Time: 0.3419 sec.\n",
      "===> Epoch[1](4760/5770): Loss: 346.9226 || Time: 0.3607 sec.\n",
      "===> Epoch[1](4780/5770): Loss: 158.2272 || Time: 0.3460 sec.\n",
      "===> Epoch[1](4800/5770): Loss: 482.8272 || Time: 0.3514 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 293.8426, Mean AP = 0.4886, Mean SSIM = 0.9026, Mean PSNR = 21.3880 || Time: 10.0561 sec.\n",
      "===> Epoch[1](4820/5770): Loss: 145.7660 || Time: 0.3381 sec.\n",
      "===> Epoch[1](4840/5770): Loss: 457.0035 || Time: 0.3299 sec.\n",
      "===> Epoch[1](4860/5770): Loss: 536.5739 || Time: 0.3290 sec.\n",
      "===> Epoch[1](4880/5770): Loss: 593.5931 || Time: 0.3456 sec.\n",
      "===> Epoch[1](4900/5770): Loss: 337.2446 || Time: 0.3405 sec.\n",
      "===> Epoch[1](4920/5770): Loss: 225.7815 || Time: 0.3409 sec.\n",
      "===> Epoch[1](4940/5770): Loss: 282.4584 || Time: 0.3431 sec.\n",
      "===> Epoch[1](4960/5770): Loss: 278.6024 || Time: 0.3662 sec.\n",
      "===> Epoch[1](4980/5770): Loss: 309.5486 || Time: 0.3429 sec.\n",
      "===> Epoch[1](5000/5770): Loss: 166.1509 || Time: 0.3476 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 361.3733, Mean AP = 0.4966, Mean SSIM = 0.9442, Mean PSNR = 23.9425 || Time: 10.0884 sec.\n",
      "Saving state, iter: 5000\n",
      "===> Epoch[1](5020/5770): Loss: 496.2487 || Time: 0.3281 sec.\n",
      "===> Epoch[1](5040/5770): Loss: 107.1133 || Time: 0.3346 sec.\n",
      "===> Epoch[1](5060/5770): Loss: 240.4716 || Time: 0.3402 sec.\n",
      "===> Epoch[1](5080/5770): Loss: 305.2509 || Time: 0.3393 sec.\n",
      "===> Epoch[1](5100/5770): Loss: 743.4081 || Time: 0.3432 sec.\n",
      "===> Epoch[1](5120/5770): Loss: 124.1659 || Time: 0.3440 sec.\n",
      "===> Epoch[1](5140/5770): Loss: 437.7748 || Time: 0.3390 sec.\n",
      "===> Epoch[1](5160/5770): Loss: 106.5899 || Time: 0.3338 sec.\n",
      "===> Epoch[1](5180/5770): Loss: 452.9732 || Time: 0.3307 sec.\n",
      "===> Epoch[1](5200/5770): Loss: 137.6156 || Time: 0.3347 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 329.7629, Mean AP = 0.4925, Mean SSIM = 0.9453, Mean PSNR = 24.0291 || Time: 10.1321 sec.\n",
      "===> Epoch[1](5220/5770): Loss: 135.8927 || Time: 0.3282 sec.\n",
      "===> Epoch[1](5240/5770): Loss: 289.6451 || Time: 0.3317 sec.\n",
      "===> Epoch[1](5260/5770): Loss: 354.2883 || Time: 0.3317 sec.\n",
      "===> Epoch[1](5280/5770): Loss: 339.4433 || Time: 0.3404 sec.\n",
      "===> Epoch[1](5300/5770): Loss: 195.1615 || Time: 0.3351 sec.\n",
      "===> Epoch[1](5320/5770): Loss: 405.7328 || Time: 0.3374 sec.\n",
      "===> Epoch[1](5340/5770): Loss: 191.8056 || Time: 0.3344 sec.\n",
      "===> Epoch[1](5360/5770): Loss: 65.9241 || Time: 0.3355 sec.\n",
      "===> Epoch[1](5380/5770): Loss: 226.9828 || Time: 0.3341 sec.\n",
      "===> Epoch[1](5400/5770): Loss: 149.9071 || Time: 0.3345 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 319.2070, Mean AP = 0.4999, Mean SSIM = 0.9402, Mean PSNR = 23.8781 || Time: 10.1263 sec.\n",
      "===> Epoch[1](5420/5770): Loss: 252.2375 || Time: 0.3300 sec.\n",
      "===> Epoch[1](5440/5770): Loss: 419.5085 || Time: 0.3291 sec.\n",
      "===> Epoch[1](5460/5770): Loss: 64.0815 || Time: 0.3342 sec.\n",
      "===> Epoch[1](5480/5770): Loss: 304.1714 || Time: 0.3392 sec.\n",
      "===> Epoch[1](5500/5770): Loss: 539.1545 || Time: 0.3393 sec.\n",
      "===> Epoch[1](5520/5770): Loss: 311.2458 || Time: 0.3289 sec.\n",
      "===> Epoch[1](5540/5770): Loss: 437.1731 || Time: 0.3497 sec.\n",
      "===> Epoch[1](5560/5770): Loss: 222.2879 || Time: 0.3311 sec.\n",
      "===> Epoch[1](5580/5770): Loss: 181.5665 || Time: 0.3346 sec.\n",
      "===> Epoch[1](5600/5770): Loss: 436.9592 || Time: 0.3309 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 287.6055, Mean AP = 0.5124, Mean SSIM = 0.9459, Mean PSNR = 24.1108 || Time: 10.1703 sec.\n",
      "===> Epoch 1 Complete: Avg. Loss: 244.8466 || Time: 2186.7092 sec.\n",
      "===> Epoch[2](20/5770): Loss: 176.1518 || Time: 0.3370 sec.\n",
      "===> Epoch[2](40/5770): Loss: 174.2728 || Time: 0.3301 sec.\n",
      "===> Epoch[2](60/5770): Loss: 326.5543 || Time: 0.3351 sec.\n",
      "===> Epoch[2](80/5770): Loss: 297.9790 || Time: 0.3304 sec.\n",
      "===> Epoch[2](100/5770): Loss: 421.1965 || Time: 0.3442 sec.\n",
      "===> Epoch[2](120/5770): Loss: 172.8734 || Time: 0.3341 sec.\n",
      "===> Epoch[2](140/5770): Loss: 539.7712 || Time: 0.3359 sec.\n",
      "===> Epoch[2](160/5770): Loss: 352.1565 || Time: 0.3320 sec.\n",
      "===> Epoch[2](180/5770): Loss: 406.5397 || Time: 0.3317 sec.\n",
      "===> Epoch[2](200/5770): Loss: 282.2197 || Time: 0.3316 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 289.7231, Mean AP = 0.5047, Mean SSIM = 0.9455, Mean PSNR = 24.0841 || Time: 10.1905 sec.\n",
      "===> Epoch[2](220/5770): Loss: 138.7754 || Time: 0.3546 sec.\n",
      "===> Epoch[2](240/5770): Loss: 268.8734 || Time: 0.3320 sec.\n",
      "===> Epoch[2](260/5770): Loss: 314.7227 || Time: 0.3318 sec.\n",
      "===> Epoch[2](280/5770): Loss: 169.3071 || Time: 0.3325 sec.\n",
      "===> Epoch[2](300/5770): Loss: 196.3848 || Time: 0.3296 sec.\n",
      "===> Epoch[2](320/5770): Loss: 209.9480 || Time: 0.3303 sec.\n",
      "===> Epoch[2](340/5770): Loss: 254.9012 || Time: 0.3352 sec.\n",
      "===> Epoch[2](360/5770): Loss: 280.0123 || Time: 0.3339 sec.\n",
      "===> Epoch[2](380/5770): Loss: 253.6057 || Time: 0.3353 sec.\n",
      "===> Epoch[2](400/5770): Loss: 399.9424 || Time: 0.3342 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 281.1896, Mean AP = 0.5273, Mean SSIM = 0.9452, Mean PSNR = 24.0723 || Time: 10.1151 sec.\n",
      "===> Epoch[2](420/5770): Loss: 156.6608 || Time: 0.3278 sec.\n",
      "===> Epoch[2](440/5770): Loss: 518.1253 || Time: 0.3310 sec.\n",
      "===> Epoch[2](460/5770): Loss: 220.8837 || Time: 0.3320 sec.\n",
      "===> Epoch[2](480/5770): Loss: 86.8784 || Time: 0.3344 sec.\n",
      "===> Epoch[2](500/5770): Loss: 121.2366 || Time: 0.3341 sec.\n",
      "===> Epoch[2](520/5770): Loss: 277.8275 || Time: 0.3313 sec.\n",
      "===> Epoch[2](540/5770): Loss: 350.5206 || Time: 0.3333 sec.\n",
      "===> Epoch[2](560/5770): Loss: 247.5332 || Time: 0.3315 sec.\n",
      "===> Epoch[2](580/5770): Loss: 341.7354 || Time: 0.3332 sec.\n",
      "===> Epoch[2](600/5770): Loss: 73.5965 || Time: 0.3355 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 279.8497, Mean AP = 0.5319, Mean SSIM = 0.9464, Mean PSNR = 24.1089 || Time: 10.1226 sec.\n",
      "===> Epoch[2](620/5770): Loss: 196.5249 || Time: 0.3316 sec.\n",
      "===> Epoch[2](640/5770): Loss: 233.3175 || Time: 0.3303 sec.\n",
      "===> Epoch[2](660/5770): Loss: 164.6955 || Time: 0.3404 sec.\n",
      "===> Epoch[2](680/5770): Loss: 241.0783 || Time: 0.3293 sec.\n",
      "===> Epoch[2](700/5770): Loss: 330.1667 || Time: 0.3355 sec.\n",
      "===> Epoch[2](720/5770): Loss: 126.3606 || Time: 0.3356 sec.\n",
      "===> Epoch[2](740/5770): Loss: 447.6672 || Time: 0.3314 sec.\n",
      "===> Epoch[2](760/5770): Loss: 338.3112 || Time: 0.3334 sec.\n",
      "===> Epoch[2](780/5770): Loss: 493.3978 || Time: 0.3321 sec.\n",
      "===> Epoch[2](800/5770): Loss: 207.8576 || Time: 0.3349 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 287.2476, Mean AP = 0.5523, Mean SSIM = 0.9455, Mean PSNR = 24.0804 || Time: 10.1752 sec.\n",
      "===> Epoch[2](820/5770): Loss: 385.7769 || Time: 0.3302 sec.\n",
      "===> Epoch[2](840/5770): Loss: 381.0420 || Time: 0.3310 sec.\n",
      "===> Epoch[2](860/5770): Loss: 331.9805 || Time: 0.3347 sec.\n",
      "===> Epoch[2](880/5770): Loss: 241.6635 || Time: 0.3328 sec.\n",
      "===> Epoch[2](900/5770): Loss: 440.5015 || Time: 0.3551 sec.\n",
      "===> Epoch[2](920/5770): Loss: 229.5060 || Time: 0.3380 sec.\n",
      "===> Epoch[2](940/5770): Loss: 384.0827 || Time: 0.3429 sec.\n",
      "===> Epoch[2](960/5770): Loss: 126.1554 || Time: 0.3374 sec.\n",
      "===> Epoch[2](980/5770): Loss: 409.8383 || Time: 0.3339 sec.\n",
      "===> Epoch[2](1000/5770): Loss: 114.3699 || Time: 0.3331 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 280.0038, Mean AP = 0.5286, Mean SSIM = 0.9464, Mean PSNR = 24.1444 || Time: 10.0794 sec.\n",
      "Saving state, iter: 1000\n",
      "===> Epoch[2](1020/5770): Loss: 300.6945 || Time: 0.3307 sec.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> Epoch[2](1040/5770): Loss: 414.7585 || Time: 0.3384 sec.\n",
      "===> Epoch[2](1060/5770): Loss: 181.1143 || Time: 0.3434 sec.\n",
      "===> Epoch[2](1080/5770): Loss: 633.5015 || Time: 0.3327 sec.\n",
      "===> Epoch[2](1100/5770): Loss: 407.1091 || Time: 0.3353 sec.\n",
      "===> Epoch[2](1120/5770): Loss: 308.6705 || Time: 0.3407 sec.\n",
      "===> Epoch[2](1140/5770): Loss: 221.6057 || Time: 0.3340 sec.\n",
      "===> Epoch[2](1160/5770): Loss: 242.5862 || Time: 0.3310 sec.\n",
      "===> Epoch[2](1180/5770): Loss: 226.7316 || Time: 0.3297 sec.\n",
      "===> Epoch[2](1200/5770): Loss: 221.6826 || Time: 0.3360 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 315.0532, Mean AP = 0.5330, Mean SSIM = 0.9390, Mean PSNR = 23.5341 || Time: 10.0759 sec.\n",
      "===> Epoch[2](1220/5770): Loss: 386.7786 || Time: 0.3297 sec.\n",
      "===> Epoch[2](1240/5770): Loss: 362.7613 || Time: 0.3364 sec.\n",
      "===> Epoch[2](1260/5770): Loss: 618.7888 || Time: 0.3362 sec.\n",
      "===> Epoch[2](1280/5770): Loss: 379.2832 || Time: 0.3294 sec.\n",
      "===> Epoch[2](1300/5770): Loss: 154.5715 || Time: 0.3346 sec.\n",
      "===> Epoch[2](1320/5770): Loss: 505.0636 || Time: 0.3332 sec.\n",
      "===> Epoch[2](1340/5770): Loss: 284.3893 || Time: 0.3397 sec.\n",
      "===> Epoch[2](1360/5770): Loss: 180.5935 || Time: 0.3322 sec.\n",
      "===> Epoch[2](1380/5770): Loss: 207.1804 || Time: 0.3334 sec.\n",
      "===> Epoch[2](1400/5770): Loss: 291.3269 || Time: 0.3318 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 311.9449, Mean AP = 0.5591, Mean SSIM = 0.9437, Mean PSNR = 24.1163 || Time: 10.1333 sec.\n",
      "===> Epoch[2](1420/5770): Loss: 300.9639 || Time: 0.3366 sec.\n",
      "===> Epoch[2](1440/5770): Loss: 295.4512 || Time: 0.3356 sec.\n",
      "===> Epoch[2](1460/5770): Loss: 358.9706 || Time: 0.3405 sec.\n",
      "===> Epoch[2](1480/5770): Loss: 241.3548 || Time: 0.3270 sec.\n",
      "===> Epoch[2](1500/5770): Loss: 385.6318 || Time: 0.3476 sec.\n",
      "===> Epoch[2](1520/5770): Loss: 244.5949 || Time: 0.3430 sec.\n",
      "===> Epoch[2](1540/5770): Loss: 293.0226 || Time: 0.3410 sec.\n",
      "===> Epoch[2](1560/5770): Loss: 473.0316 || Time: 0.3460 sec.\n",
      "===> Epoch[2](1580/5770): Loss: 152.3377 || Time: 0.3341 sec.\n",
      "===> Epoch[2](1600/5770): Loss: 126.9001 || Time: 0.3350 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 310.2873, Mean AP = 0.5751, Mean SSIM = 0.9468, Mean PSNR = 24.1840 || Time: 10.0613 sec.\n",
      "===> Epoch[2](1620/5770): Loss: 409.7292 || Time: 0.3379 sec.\n",
      "===> Epoch[2](1640/5770): Loss: 424.9202 || Time: 0.3313 sec.\n",
      "===> Epoch[2](1660/5770): Loss: 133.0745 || Time: 0.3414 sec.\n",
      "===> Epoch[2](1680/5770): Loss: 183.3938 || Time: 0.3322 sec.\n",
      "===> Epoch[2](1700/5770): Loss: 385.2054 || Time: 0.3332 sec.\n",
      "===> Epoch[2](1720/5770): Loss: 330.4557 || Time: 0.3369 sec.\n",
      "===> Epoch[2](1740/5770): Loss: 683.6492 || Time: 0.3506 sec.\n",
      "===> Epoch[2](1760/5770): Loss: 335.5351 || Time: 0.3334 sec.\n",
      "===> Epoch[2](1780/5770): Loss: 385.1172 || Time: 0.3366 sec.\n",
      "===> Epoch[2](1800/5770): Loss: 112.4929 || Time: 0.3377 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 300.8769, Mean AP = 0.5289, Mean SSIM = 0.9451, Mean PSNR = 24.1121 || Time: 10.1747 sec.\n",
      "===> Epoch[2](1820/5770): Loss: 143.9355 || Time: 0.3306 sec.\n",
      "===> Epoch[2](1840/5770): Loss: 497.4217 || Time: 0.3388 sec.\n",
      "===> Epoch[2](1860/5770): Loss: 334.8445 || Time: 0.3358 sec.\n",
      "===> Epoch[2](1880/5770): Loss: 214.3031 || Time: 0.3373 sec.\n",
      "===> Epoch[2](1900/5770): Loss: 189.7996 || Time: 0.3391 sec.\n",
      "===> Epoch[2](1920/5770): Loss: 333.5225 || Time: 0.3323 sec.\n",
      "===> Epoch[2](1940/5770): Loss: 159.3221 || Time: 0.3342 sec.\n",
      "===> Epoch[2](1960/5770): Loss: 199.2673 || Time: 0.3529 sec.\n",
      "===> Epoch[2](1980/5770): Loss: 279.3005 || Time: 0.3436 sec.\n",
      "===> Epoch[2](2000/5770): Loss: 261.9178 || Time: 0.3348 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 285.5406, Mean AP = 0.5302, Mean SSIM = 0.9473, Mean PSNR = 24.2506 || Time: 9.9614 sec.\n",
      "Saving state, iter: 2000\n",
      "===> Epoch[2](2020/5770): Loss: 158.6927 || Time: 0.3323 sec.\n",
      "===> Epoch[2](2040/5770): Loss: 553.5695 || Time: 0.3298 sec.\n",
      "===> Epoch[2](2060/5770): Loss: 244.3913 || Time: 0.3397 sec.\n",
      "===> Epoch[2](2080/5770): Loss: 144.0524 || Time: 0.3398 sec.\n",
      "===> Epoch[2](2100/5770): Loss: 223.6222 || Time: 0.3481 sec.\n",
      "===> Epoch[2](2120/5770): Loss: 154.1216 || Time: 0.3337 sec.\n",
      "===> Epoch[2](2140/5770): Loss: 298.4764 || Time: 0.3299 sec.\n",
      "===> Epoch[2](2160/5770): Loss: 350.1995 || Time: 0.3291 sec.\n",
      "===> Epoch[2](2180/5770): Loss: 330.7104 || Time: 0.3337 sec.\n",
      "===> Epoch[2](2200/5770): Loss: 449.7440 || Time: 0.3345 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 296.4796, Mean AP = 0.5261, Mean SSIM = 0.9454, Mean PSNR = 24.1819 || Time: 10.0824 sec.\n",
      "===> Epoch[2](2220/5770): Loss: 157.9187 || Time: 0.3306 sec.\n",
      "===> Epoch[2](2240/5770): Loss: 264.4387 || Time: 0.3283 sec.\n",
      "===> Epoch[2](2260/5770): Loss: 164.6662 || Time: 0.3300 sec.\n",
      "===> Epoch[2](2280/5770): Loss: 488.2431 || Time: 0.3372 sec.\n",
      "===> Epoch[2](2300/5770): Loss: 351.6102 || Time: 0.3397 sec.\n",
      "===> Epoch[2](2320/5770): Loss: 142.1698 || Time: 0.3324 sec.\n",
      "===> Epoch[2](2340/5770): Loss: 600.3292 || Time: 0.3320 sec.\n",
      "===> Epoch[2](2360/5770): Loss: 144.9804 || Time: 0.3348 sec.\n",
      "===> Epoch[2](2380/5770): Loss: 395.1839 || Time: 0.3381 sec.\n",
      "===> Epoch[2](2400/5770): Loss: 210.7701 || Time: 0.3472 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 319.3742, Mean AP = 0.5378, Mean SSIM = 0.9479, Mean PSNR = 24.2809 || Time: 10.1732 sec.\n",
      "===> Epoch[2](2420/5770): Loss: 152.2961 || Time: 0.3331 sec.\n",
      "===> Epoch[2](2440/5770): Loss: 578.0814 || Time: 0.3425 sec.\n",
      "===> Epoch[2](2460/5770): Loss: 122.5872 || Time: 0.3332 sec.\n",
      "===> Epoch[2](2480/5770): Loss: 471.0462 || Time: 0.3413 sec.\n",
      "===> Epoch[2](2500/5770): Loss: 178.0901 || Time: 0.3297 sec.\n",
      "===> Epoch[2](2520/5770): Loss: 370.6902 || Time: 0.3341 sec.\n",
      "===> Epoch[2](2540/5770): Loss: 446.0402 || Time: 0.3351 sec.\n",
      "===> Epoch[2](2560/5770): Loss: 611.8902 || Time: 0.3557 sec.\n",
      "===> Epoch[2](2580/5770): Loss: 673.3925 || Time: 0.3305 sec.\n",
      "===> Epoch[2](2600/5770): Loss: 208.1780 || Time: 0.3420 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 288.1063, Mean AP = 0.5272, Mean SSIM = 0.9476, Mean PSNR = 24.2593 || Time: 10.0906 sec.\n",
      "===> Epoch[2](2620/5770): Loss: 94.0648 || Time: 0.3379 sec.\n",
      "===> Epoch[2](2640/5770): Loss: 254.9762 || Time: 0.3393 sec.\n",
      "===> Epoch[2](2660/5770): Loss: 161.1417 || Time: 0.3360 sec.\n",
      "===> Epoch[2](2680/5770): Loss: 478.8814 || Time: 0.3311 sec.\n",
      "===> Epoch[2](2700/5770): Loss: 305.1156 || Time: 0.3339 sec.\n",
      "===> Epoch[2](2720/5770): Loss: 393.7128 || Time: 0.3417 sec.\n",
      "===> Epoch[2](2740/5770): Loss: 303.3877 || Time: 0.3343 sec.\n",
      "===> Epoch[2](2760/5770): Loss: 128.4375 || Time: 0.3463 sec.\n",
      "===> Epoch[2](2780/5770): Loss: 543.5474 || Time: 0.3317 sec.\n",
      "===> Epoch[2](2800/5770): Loss: 223.9345 || Time: 0.3398 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 304.4265, Mean AP = 0.5714, Mean SSIM = 0.9413, Mean PSNR = 23.5166 || Time: 10.0749 sec.\n",
      "===> Epoch[2](2820/5770): Loss: 274.0420 || Time: 0.3310 sec.\n",
      "===> Epoch[2](2840/5770): Loss: 127.5672 || Time: 0.3313 sec.\n",
      "===> Epoch[2](2860/5770): Loss: 214.6043 || Time: 0.3329 sec.\n",
      "===> Epoch[2](2880/5770): Loss: 401.1901 || Time: 0.3360 sec.\n",
      "===> Epoch[2](2900/5770): Loss: 922.7068 || Time: 0.3297 sec.\n",
      "===> Epoch[2](2920/5770): Loss: 444.4210 || Time: 0.3525 sec.\n",
      "===> Epoch[2](2940/5770): Loss: 754.0490 || Time: 0.3316 sec.\n",
      "===> Epoch[2](2960/5770): Loss: 373.5948 || Time: 0.3381 sec.\n",
      "===> Epoch[2](2980/5770): Loss: 317.7463 || Time: 0.3461 sec.\n",
      "===> Epoch[2](3000/5770): Loss: 286.0056 || Time: 0.3361 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 348.2673, Mean AP = 0.5201, Mean SSIM = 0.9439, Mean PSNR = 23.9610 || Time: 9.9045 sec.\n",
      "Saving state, iter: 3000\n",
      "===> Epoch[2](3020/5770): Loss: 384.5140 || Time: 0.3291 sec.\n",
      "===> Epoch[2](3040/5770): Loss: 305.6608 || Time: 0.3316 sec.\n",
      "===> Epoch[2](3060/5770): Loss: 466.6606 || Time: 0.3312 sec.\n",
      "===> Epoch[2](3080/5770): Loss: 326.6895 || Time: 0.3469 sec.\n",
      "===> Epoch[2](3100/5770): Loss: 505.4780 || Time: 0.3392 sec.\n",
      "===> Epoch[2](3120/5770): Loss: 102.9845 || Time: 0.3344 sec.\n",
      "===> Epoch[2](3140/5770): Loss: 185.4624 || Time: 0.3352 sec.\n",
      "===> Epoch[2](3160/5770): Loss: 191.9577 || Time: 0.3322 sec.\n",
      "===> Epoch[2](3180/5770): Loss: 399.0884 || Time: 0.3357 sec.\n",
      "===> Epoch[2](3200/5770): Loss: 320.7235 || Time: 0.3421 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 293.1833, Mean AP = 0.5694, Mean SSIM = 0.9477, Mean PSNR = 24.2722 || Time: 10.0480 sec.\n",
      "===> Epoch[2](3220/5770): Loss: 193.8575 || Time: 0.3267 sec.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> Epoch[2](3240/5770): Loss: 271.9026 || Time: 0.3342 sec.\n",
      "===> Epoch[2](3260/5770): Loss: 646.8179 || Time: 0.3419 sec.\n",
      "===> Epoch[2](3280/5770): Loss: 153.4879 || Time: 0.3468 sec.\n",
      "===> Epoch[2](3300/5770): Loss: 248.3698 || Time: 0.3485 sec.\n",
      "===> Epoch[2](3320/5770): Loss: 338.1490 || Time: 0.3362 sec.\n",
      "===> Epoch[2](3340/5770): Loss: 305.3149 || Time: 0.3485 sec.\n",
      "===> Epoch[2](3360/5770): Loss: 246.4160 || Time: 0.3343 sec.\n",
      "===> Epoch[2](3380/5770): Loss: 346.1723 || Time: 0.3382 sec.\n",
      "===> Epoch[2](3400/5770): Loss: 185.2569 || Time: 0.3371 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 281.6378, Mean AP = 0.5451, Mean SSIM = 0.9481, Mean PSNR = 24.3594 || Time: 10.0846 sec.\n",
      "===> Epoch[2](3420/5770): Loss: 310.4825 || Time: 0.3299 sec.\n",
      "===> Epoch[2](3440/5770): Loss: 323.5673 || Time: 0.3314 sec.\n",
      "===> Epoch[2](3460/5770): Loss: 111.8106 || Time: 0.3340 sec.\n",
      "===> Epoch[2](3480/5770): Loss: 66.5483 || Time: 0.3314 sec.\n",
      "===> Epoch[2](3500/5770): Loss: 243.3845 || Time: 0.3329 sec.\n",
      "===> Epoch[2](3520/5770): Loss: 323.9969 || Time: 0.3426 sec.\n",
      "===> Epoch[2](3540/5770): Loss: 106.2138 || Time: 0.3336 sec.\n",
      "===> Epoch[2](3560/5770): Loss: 158.8056 || Time: 0.3573 sec.\n",
      "===> Epoch[2](3580/5770): Loss: 253.4277 || Time: 0.3432 sec.\n",
      "===> Epoch[2](3600/5770): Loss: 188.6747 || Time: 0.3317 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 269.2043, Mean AP = 0.5628, Mean SSIM = 0.9489, Mean PSNR = 24.3787 || Time: 10.0928 sec.\n",
      "===> Epoch[2](3620/5770): Loss: 364.0201 || Time: 0.3308 sec.\n",
      "===> Epoch[2](3640/5770): Loss: 208.1780 || Time: 0.3327 sec.\n",
      "===> Epoch[2](3660/5770): Loss: 175.0397 || Time: 0.3321 sec.\n",
      "===> Epoch[2](3680/5770): Loss: 414.5096 || Time: 0.3307 sec.\n",
      "===> Epoch[2](3700/5770): Loss: 187.1922 || Time: 0.3323 sec.\n",
      "===> Epoch[2](3720/5770): Loss: 644.4634 || Time: 0.3331 sec.\n",
      "===> Epoch[2](3740/5770): Loss: 301.2249 || Time: 0.3355 sec.\n",
      "===> Epoch[2](3760/5770): Loss: 171.3385 || Time: 0.3320 sec.\n",
      "===> Epoch[2](3780/5770): Loss: 269.7841 || Time: 0.3333 sec.\n",
      "===> Epoch[2](3800/5770): Loss: 71.8010 || Time: 0.3310 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 261.8076, Mean AP = 0.5190, Mean SSIM = 0.9484, Mean PSNR = 24.3745 || Time: 10.0782 sec.\n",
      "===> Epoch[2](3820/5770): Loss: 119.3927 || Time: 0.3302 sec.\n",
      "===> Epoch[2](3840/5770): Loss: 181.6208 || Time: 0.3304 sec.\n",
      "===> Epoch[2](3860/5770): Loss: 157.2978 || Time: 0.3378 sec.\n",
      "===> Epoch[2](3880/5770): Loss: 189.3221 || Time: 0.3317 sec.\n",
      "===> Epoch[2](3900/5770): Loss: 262.3611 || Time: 0.3351 sec.\n",
      "===> Epoch[2](3920/5770): Loss: 207.2755 || Time: 0.3333 sec.\n",
      "===> Epoch[2](3940/5770): Loss: 77.7518 || Time: 0.3382 sec.\n",
      "===> Epoch[2](3960/5770): Loss: 326.4593 || Time: 0.3508 sec.\n",
      "===> Epoch[2](3980/5770): Loss: 347.8987 || Time: 0.3335 sec.\n",
      "===> Epoch[2](4000/5770): Loss: 263.2640 || Time: 0.3336 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 269.1292, Mean AP = 0.5743, Mean SSIM = 0.9485, Mean PSNR = 24.3699 || Time: 10.1714 sec.\n",
      "Saving state, iter: 4000\n",
      "===> Epoch[2](4020/5770): Loss: 89.8449 || Time: 0.3309 sec.\n",
      "===> Epoch[2](4040/5770): Loss: 365.8848 || Time: 0.3307 sec.\n",
      "===> Epoch[2](4060/5770): Loss: 145.7406 || Time: 0.3323 sec.\n",
      "===> Epoch[2](4080/5770): Loss: 272.0117 || Time: 0.3368 sec.\n",
      "===> Epoch[2](4100/5770): Loss: 98.9638 || Time: 0.3317 sec.\n",
      "===> Epoch[2](4120/5770): Loss: 271.2753 || Time: 0.3345 sec.\n",
      "===> Epoch[2](4140/5770): Loss: 143.1664 || Time: 0.3384 sec.\n",
      "===> Epoch[2](4160/5770): Loss: 139.9924 || Time: 0.3309 sec.\n",
      "===> Epoch[2](4180/5770): Loss: 237.1023 || Time: 0.3353 sec.\n",
      "===> Epoch[2](4200/5770): Loss: 288.0855 || Time: 0.3299 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 254.0162, Mean AP = 0.5582, Mean SSIM = 0.9492, Mean PSNR = 24.4250 || Time: 10.0367 sec.\n",
      "===> Epoch[2](4220/5770): Loss: 307.7215 || Time: 0.3304 sec.\n",
      "===> Epoch[2](4240/5770): Loss: 184.5888 || Time: 0.3281 sec.\n",
      "===> Epoch[2](4260/5770): Loss: 249.3754 || Time: 0.3306 sec.\n",
      "===> Epoch[2](4280/5770): Loss: 76.7867 || Time: 0.3401 sec.\n",
      "===> Epoch[2](4300/5770): Loss: 234.9452 || Time: 0.3358 sec.\n",
      "===> Epoch[2](4320/5770): Loss: 421.7343 || Time: 0.3316 sec.\n",
      "===> Epoch[2](4340/5770): Loss: 654.8782 || Time: 0.3319 sec.\n",
      "===> Epoch[2](4360/5770): Loss: 161.3243 || Time: 0.3402 sec.\n",
      "===> Epoch[2](4380/5770): Loss: 109.4673 || Time: 0.3397 sec.\n",
      "===> Epoch[2](4400/5770): Loss: 602.1472 || Time: 0.3459 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 266.9737, Mean AP = 0.5315, Mean SSIM = 0.9480, Mean PSNR = 24.2761 || Time: 10.1108 sec.\n",
      "===> Epoch[2](4420/5770): Loss: 78.9111 || Time: 0.3316 sec.\n",
      "===> Epoch[2](4440/5770): Loss: 154.6565 || Time: 0.3307 sec.\n",
      "===> Epoch[2](4460/5770): Loss: 109.5089 || Time: 0.3295 sec.\n",
      "===> Epoch[2](4480/5770): Loss: 312.2787 || Time: 0.3333 sec.\n",
      "===> Epoch[2](4500/5770): Loss: 259.8525 || Time: 0.3344 sec.\n",
      "===> Epoch[2](4520/5770): Loss: 318.1254 || Time: 0.3357 sec.\n",
      "===> Epoch[2](4540/5770): Loss: 598.0038 || Time: 0.3321 sec.\n",
      "===> Epoch[2](4560/5770): Loss: 312.4450 || Time: 0.3414 sec.\n",
      "===> Epoch[2](4580/5770): Loss: 280.3896 || Time: 0.3328 sec.\n",
      "===> Epoch[2](4600/5770): Loss: 361.8850 || Time: 0.3353 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 287.8663, Mean AP = 0.5524, Mean SSIM = 0.9463, Mean PSNR = 24.2598 || Time: 10.0903 sec.\n",
      "===> Epoch[2](4620/5770): Loss: 354.1303 || Time: 0.3312 sec.\n",
      "===> Epoch[2](4640/5770): Loss: 393.2000 || Time: 0.3331 sec.\n",
      "===> Epoch[2](4660/5770): Loss: 55.2042 || Time: 0.3308 sec.\n",
      "===> Epoch[2](4680/5770): Loss: 131.5413 || Time: 0.3379 sec.\n",
      "===> Epoch[2](4700/5770): Loss: 285.9015 || Time: 0.3320 sec.\n",
      "===> Epoch[2](4720/5770): Loss: 181.4947 || Time: 0.3606 sec.\n",
      "===> Epoch[2](4740/5770): Loss: 139.7854 || Time: 0.3313 sec.\n",
      "===> Epoch[2](4760/5770): Loss: 278.1285 || Time: 0.3423 sec.\n",
      "===> Epoch[2](4780/5770): Loss: 146.5386 || Time: 0.3321 sec.\n",
      "===> Epoch[2](4800/5770): Loss: 375.3221 || Time: 0.3325 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 263.4852, Mean AP = 0.5757, Mean SSIM = 0.9257, Mean PSNR = 23.7037 || Time: 10.1326 sec.\n",
      "===> Epoch[2](4820/5770): Loss: 123.1268 || Time: 0.3344 sec.\n",
      "===> Epoch[2](4840/5770): Loss: 349.7968 || Time: 0.3318 sec.\n",
      "===> Epoch[2](4860/5770): Loss: 407.7488 || Time: 0.3354 sec.\n",
      "===> Epoch[2](4880/5770): Loss: 471.8021 || Time: 0.3396 sec.\n",
      "===> Epoch[2](4900/5770): Loss: 259.3793 || Time: 0.3303 sec.\n",
      "===> Epoch[2](4920/5770): Loss: 135.1349 || Time: 0.3314 sec.\n",
      "===> Epoch[2](4940/5770): Loss: 163.7761 || Time: 0.3350 sec.\n",
      "===> Epoch[2](4960/5770): Loss: 246.6325 || Time: 0.3517 sec.\n",
      "===> Epoch[2](4980/5770): Loss: 270.8816 || Time: 0.3411 sec.\n",
      "===> Epoch[2](5000/5770): Loss: 154.0314 || Time: 0.3351 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 295.4830, Mean AP = 0.5160, Mean SSIM = 0.9492, Mean PSNR = 24.4251 || Time: 10.0786 sec.\n",
      "Saving state, iter: 5000\n",
      "===> Epoch[2](5020/5770): Loss: 395.8358 || Time: 0.3315 sec.\n",
      "===> Epoch[2](5040/5770): Loss: 96.9947 || Time: 0.3303 sec.\n",
      "===> Epoch[2](5060/5770): Loss: 183.7705 || Time: 0.3338 sec.\n",
      "===> Epoch[2](5080/5770): Loss: 255.2919 || Time: 0.3384 sec.\n",
      "===> Epoch[2](5100/5770): Loss: 806.7399 || Time: 0.3332 sec.\n",
      "===> Epoch[2](5120/5770): Loss: 102.8329 || Time: 0.3335 sec.\n",
      "===> Epoch[2](5140/5770): Loss: 417.1476 || Time: 0.3326 sec.\n",
      "===> Epoch[2](5160/5770): Loss: 98.4915 || Time: 0.3306 sec.\n",
      "===> Epoch[2](5180/5770): Loss: 427.8707 || Time: 0.3379 sec.\n",
      "===> Epoch[2](5200/5770): Loss: 127.2695 || Time: 0.3340 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 297.5218, Mean AP = 0.5263, Mean SSIM = 0.9467, Mean PSNR = 24.1701 || Time: 10.0820 sec.\n",
      "===> Epoch[2](5220/5770): Loss: 130.5883 || Time: 0.3296 sec.\n",
      "===> Epoch[2](5240/5770): Loss: 252.3931 || Time: 0.3316 sec.\n",
      "===> Epoch[2](5260/5770): Loss: 291.3642 || Time: 0.3341 sec.\n",
      "===> Epoch[2](5280/5770): Loss: 287.9426 || Time: 0.3342 sec.\n",
      "===> Epoch[2](5300/5770): Loss: 170.6488 || Time: 0.3336 sec.\n",
      "===> Epoch[2](5320/5770): Loss: 365.9779 || Time: 0.3333 sec.\n",
      "===> Epoch[2](5340/5770): Loss: 178.5005 || Time: 0.3360 sec.\n",
      "===> Epoch[2](5360/5770): Loss: 58.4737 || Time: 0.3303 sec.\n",
      "===> Epoch[2](5380/5770): Loss: 217.1942 || Time: 0.3424 sec.\n",
      "===> Epoch[2](5400/5770): Loss: 141.3344 || Time: 0.3376 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 291.7368, Mean AP = 0.5757, Mean SSIM = 0.9457, Mean PSNR = 24.3091 || Time: 10.0771 sec.\n",
      "===> Epoch[2](5420/5770): Loss: 234.8105 || Time: 0.3346 sec.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> Epoch[2](5440/5770): Loss: 383.5069 || Time: 0.3288 sec.\n",
      "===> Epoch[2](5460/5770): Loss: 53.8962 || Time: 0.3337 sec.\n",
      "===> Epoch[2](5480/5770): Loss: 263.0839 || Time: 0.3325 sec.\n",
      "===> Epoch[2](5500/5770): Loss: 513.9958 || Time: 0.3573 sec.\n",
      "===> Epoch[2](5520/5770): Loss: 290.0321 || Time: 0.3296 sec.\n",
      "===> Epoch[2](5540/5770): Loss: 425.1916 || Time: 0.3445 sec.\n",
      "===> Epoch[2](5560/5770): Loss: 196.0274 || Time: 0.3480 sec.\n",
      "===> Epoch[2](5580/5770): Loss: 166.0627 || Time: 0.3353 sec.\n",
      "===> Epoch[2](5600/5770): Loss: 413.6320 || Time: 0.3316 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 267.2927, Mean AP = 0.5162, Mean SSIM = 0.9480, Mean PSNR = 24.3369 || Time: 9.9444 sec.\n",
      "===> Epoch 2 Complete: Avg. Loss: 144.6022 || Time: 2171.6023 sec.\n",
      "===> Epoch[3](20/5770): Loss: 186.5360 || Time: 0.3321 sec.\n",
      "===> Epoch[3](40/5770): Loss: 139.1551 || Time: 0.3281 sec.\n",
      "===> Epoch[3](60/5770): Loss: 299.1754 || Time: 0.3355 sec.\n",
      "===> Epoch[3](80/5770): Loss: 149.6332 || Time: 0.3362 sec.\n",
      "===> Epoch[3](100/5770): Loss: 366.5476 || Time: 0.3375 sec.\n",
      "===> Epoch[3](120/5770): Loss: 135.4632 || Time: 0.3365 sec.\n",
      "===> Epoch[3](140/5770): Loss: 473.3847 || Time: 0.3350 sec.\n",
      "===> Epoch[3](160/5770): Loss: 312.7929 || Time: 0.3331 sec.\n",
      "===> Epoch[3](180/5770): Loss: 388.9695 || Time: 0.3388 sec.\n",
      "===> Epoch[3](200/5770): Loss: 265.5587 || Time: 0.3547 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 254.1909, Mean AP = 0.4881, Mean SSIM = 0.9494, Mean PSNR = 24.4572 || Time: 10.1636 sec.\n",
      "===> Epoch[3](220/5770): Loss: 125.9513 || Time: 0.3297 sec.\n",
      "===> Epoch[3](240/5770): Loss: 260.4347 || Time: 0.3331 sec.\n",
      "===> Epoch[3](260/5770): Loss: 287.6468 || Time: 0.3362 sec.\n",
      "===> Epoch[3](280/5770): Loss: 167.1289 || Time: 0.3474 sec.\n",
      "===> Epoch[3](300/5770): Loss: 184.0071 || Time: 0.3336 sec.\n",
      "===> Epoch[3](320/5770): Loss: 196.6396 || Time: 0.3341 sec.\n",
      "===> Epoch[3](340/5770): Loss: 224.6425 || Time: 0.3333 sec.\n",
      "===> Epoch[3](360/5770): Loss: 258.4348 || Time: 0.3337 sec.\n",
      "===> Epoch[3](380/5770): Loss: 229.9636 || Time: 0.3342 sec.\n",
      "===> Epoch[3](400/5770): Loss: 367.8018 || Time: 0.3330 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 259.5177, Mean AP = 0.5301, Mean SSIM = 0.9490, Mean PSNR = 24.4723 || Time: 10.0918 sec.\n",
      "===> Epoch[3](420/5770): Loss: 136.7166 || Time: 0.3318 sec.\n",
      "===> Epoch[3](440/5770): Loss: 492.1762 || Time: 0.3355 sec.\n",
      "===> Epoch[3](460/5770): Loss: 209.0060 || Time: 0.3315 sec.\n",
      "===> Epoch[3](480/5770): Loss: 76.9003 || Time: 0.3595 sec.\n",
      "===> Epoch[3](500/5770): Loss: 107.7366 || Time: 0.3440 sec.\n",
      "===> Epoch[3](520/5770): Loss: 259.6750 || Time: 0.3347 sec.\n",
      "===> Epoch[3](540/5770): Loss: 320.6676 || Time: 0.3330 sec.\n",
      "===> Epoch[3](560/5770): Loss: 235.2872 || Time: 0.3357 sec.\n",
      "===> Epoch[3](580/5770): Loss: 310.1135 || Time: 0.3368 sec.\n",
      "===> Epoch[3](600/5770): Loss: 60.7824 || Time: 0.3320 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 259.5139, Mean AP = 0.4441, Mean SSIM = 0.9500, Mean PSNR = 24.5146 || Time: 10.1298 sec.\n",
      "===> Epoch[3](620/5770): Loss: 168.4629 || Time: 0.3289 sec.\n",
      "===> Epoch[3](640/5770): Loss: 225.9352 || Time: 0.3376 sec.\n",
      "===> Epoch[3](660/5770): Loss: 150.5673 || Time: 0.3303 sec.\n",
      "===> Epoch[3](680/5770): Loss: 222.1918 || Time: 0.3457 sec.\n",
      "===> Epoch[3](700/5770): Loss: 308.0799 || Time: 0.3329 sec.\n",
      "===> Epoch[3](720/5770): Loss: 113.3658 || Time: 0.3322 sec.\n",
      "===> Epoch[3](740/5770): Loss: 423.8614 || Time: 0.3368 sec.\n",
      "===> Epoch[3](760/5770): Loss: 325.6452 || Time: 0.3292 sec.\n",
      "===> Epoch[3](780/5770): Loss: 479.4718 || Time: 0.3329 sec.\n",
      "===> Epoch[3](800/5770): Loss: 203.8781 || Time: 0.3540 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 268.4112, Mean AP = 0.5480, Mean SSIM = 0.9419, Mean PSNR = 23.8931 || Time: 10.0748 sec.\n",
      "===> Epoch[3](820/5770): Loss: 363.0583 || Time: 0.3366 sec.\n",
      "===> Epoch[3](840/5770): Loss: 359.0191 || Time: 0.3289 sec.\n",
      "===> Epoch[3](860/5770): Loss: 312.1191 || Time: 0.3307 sec.\n",
      "===> Epoch[3](880/5770): Loss: 221.0885 || Time: 0.3407 sec.\n",
      "===> Epoch[3](900/5770): Loss: 422.3542 || Time: 0.3411 sec.\n",
      "===> Epoch[3](920/5770): Loss: 214.0958 || Time: 0.3415 sec.\n",
      "===> Epoch[3](940/5770): Loss: 362.7556 || Time: 0.3517 sec.\n",
      "===> Epoch[3](960/5770): Loss: 131.1728 || Time: 0.3304 sec.\n",
      "===> Epoch[3](980/5770): Loss: 381.8973 || Time: 0.3395 sec.\n",
      "===> Epoch[3](1000/5770): Loss: 110.0905 || Time: 0.3333 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 268.2520, Mean AP = 0.4935, Mean SSIM = 0.9493, Mean PSNR = 24.3229 || Time: 10.1353 sec.\n",
      "Saving state, iter: 1000\n",
      "===> Epoch[3](1020/5770): Loss: 285.6752 || Time: 0.3310 sec.\n",
      "===> Epoch[3](1040/5770): Loss: 359.6254 || Time: 0.3328 sec.\n",
      "===> Epoch[3](1060/5770): Loss: 165.0162 || Time: 0.3319 sec.\n",
      "===> Epoch[3](1080/5770): Loss: 628.7530 || Time: 0.3311 sec.\n",
      "===> Epoch[3](1100/5770): Loss: 363.9472 || Time: 0.3365 sec.\n",
      "===> Epoch[3](1120/5770): Loss: 307.0982 || Time: 0.3353 sec.\n",
      "===> Epoch[3](1140/5770): Loss: 187.8482 || Time: 0.3325 sec.\n",
      "===> Epoch[3](1160/5770): Loss: 235.8529 || Time: 0.3332 sec.\n",
      "===> Epoch[3](1180/5770): Loss: 162.7048 || Time: 0.3507 sec.\n",
      "===> Epoch[3](1200/5770): Loss: 177.8193 || Time: 0.3307 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 276.5095, Mean AP = 0.4347, Mean SSIM = 0.9489, Mean PSNR = 24.2276 || Time: 10.0823 sec.\n",
      "===> Epoch[3](1220/5770): Loss: 353.5354 || Time: 0.3307 sec.\n",
      "===> Epoch[3](1240/5770): Loss: 341.2482 || Time: 0.3298 sec.\n",
      "===> Epoch[3](1260/5770): Loss: 597.6642 || Time: 0.3318 sec.\n",
      "===> Epoch[3](1280/5770): Loss: 324.2571 || Time: 0.3521 sec.\n",
      "===> Epoch[3](1300/5770): Loss: 146.5558 || Time: 0.3321 sec.\n",
      "===> Epoch[3](1320/5770): Loss: 459.1473 || Time: 0.3337 sec.\n",
      "===> Epoch[3](1340/5770): Loss: 212.5224 || Time: 0.3327 sec.\n",
      "===> Epoch[3](1360/5770): Loss: 162.3727 || Time: 0.3367 sec.\n",
      "===> Epoch[3](1380/5770): Loss: 177.4088 || Time: 0.3349 sec.\n",
      "===> Epoch[3](1400/5770): Loss: 269.5887 || Time: 0.3327 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 278.9883, Mean AP = 0.5248, Mean SSIM = 0.9499, Mean PSNR = 24.5442 || Time: 10.1300 sec.\n",
      "===> Epoch[3](1420/5770): Loss: 272.7024 || Time: 0.3299 sec.\n",
      "===> Epoch[3](1440/5770): Loss: 270.4620 || Time: 0.3458 sec.\n",
      "===> Epoch[3](1460/5770): Loss: 313.6067 || Time: 0.3316 sec.\n",
      "===> Epoch[3](1480/5770): Loss: 223.6924 || Time: 0.3327 sec.\n",
      "===> Epoch[3](1500/5770): Loss: 355.8846 || Time: 0.3386 sec.\n",
      "===> Epoch[3](1520/5770): Loss: 208.4240 || Time: 0.3310 sec.\n",
      "===> Epoch[3](1540/5770): Loss: 266.7949 || Time: 0.3303 sec.\n",
      "===> Epoch[3](1560/5770): Loss: 388.8589 || Time: 0.3337 sec.\n",
      "===> Epoch[3](1580/5770): Loss: 134.9210 || Time: 0.3365 sec.\n",
      "===> Epoch[3](1600/5770): Loss: 96.9588 || Time: 0.3455 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 278.0869, Mean AP = 0.5349, Mean SSIM = 0.9473, Mean PSNR = 24.4000 || Time: 10.1250 sec.\n",
      "===> Epoch[3](1620/5770): Loss: 393.3730 || Time: 0.3298 sec.\n",
      "===> Epoch[3](1640/5770): Loss: 431.3728 || Time: 0.3361 sec.\n",
      "===> Epoch[3](1660/5770): Loss: 167.9865 || Time: 0.3289 sec.\n",
      "===> Epoch[3](1680/5770): Loss: 180.7658 || Time: 0.3370 sec.\n",
      "===> Epoch[3](1700/5770): Loss: 391.2488 || Time: 0.3572 sec.\n",
      "===> Epoch[3](1720/5770): Loss: 300.9832 || Time: 0.3308 sec.\n",
      "===> Epoch[3](1740/5770): Loss: 640.9224 || Time: 0.3360 sec.\n",
      "===> Epoch[3](1760/5770): Loss: 328.3253 || Time: 0.3367 sec.\n",
      "===> Epoch[3](1780/5770): Loss: 388.5252 || Time: 0.3399 sec.\n",
      "===> Epoch[3](1800/5770): Loss: 125.0869 || Time: 0.3400 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 300.0422, Mean AP = 0.5333, Mean SSIM = 0.9412, Mean PSNR = 24.0687 || Time: 10.1352 sec.\n",
      "===> Epoch[3](1820/5770): Loss: 148.7493 || Time: 0.3289 sec.\n",
      "===> Epoch[3](1840/5770): Loss: 488.4428 || Time: 0.3445 sec.\n",
      "===> Epoch[3](1860/5770): Loss: 330.7398 || Time: 0.3466 sec.\n",
      "===> Epoch[3](1880/5770): Loss: 199.6990 || Time: 0.3354 sec.\n",
      "===> Epoch[3](1900/5770): Loss: 185.8827 || Time: 0.3332 sec.\n",
      "===> Epoch[3](1920/5770): Loss: 328.8210 || Time: 0.3333 sec.\n",
      "===> Epoch[3](1940/5770): Loss: 150.0490 || Time: 0.3462 sec.\n",
      "===> Epoch[3](1960/5770): Loss: 188.2198 || Time: 0.3429 sec.\n",
      "===> Epoch[3](1980/5770): Loss: 271.4909 || Time: 0.3342 sec.\n",
      "===> Epoch[3](2000/5770): Loss: 264.1498 || Time: 0.3321 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 273.4038, Mean AP = 0.5682, Mean SSIM = 0.9443, Mean PSNR = 24.2027 || Time: 10.1321 sec.\n",
      "Saving state, iter: 2000\n",
      "===> Epoch[3](2020/5770): Loss: 154.7040 || Time: 0.3298 sec.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> Epoch[3](2040/5770): Loss: 536.6110 || Time: 0.3347 sec.\n",
      "===> Epoch[3](2060/5770): Loss: 220.6143 || Time: 0.3433 sec.\n",
      "===> Epoch[3](2080/5770): Loss: 133.5402 || Time: 0.3312 sec.\n",
      "===> Epoch[3](2100/5770): Loss: 209.9636 || Time: 0.3332 sec.\n",
      "===> Epoch[3](2120/5770): Loss: 144.4206 || Time: 0.3348 sec.\n",
      "===> Epoch[3](2140/5770): Loss: 259.3205 || Time: 0.3297 sec.\n",
      "===> Epoch[3](2160/5770): Loss: 318.5295 || Time: 0.3308 sec.\n",
      "===> Epoch[3](2180/5770): Loss: 310.7155 || Time: 0.3334 sec.\n",
      "===> Epoch[3](2200/5770): Loss: 417.9656 || Time: 0.3321 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 275.2651, Mean AP = 0.5398, Mean SSIM = 0.9504, Mean PSNR = 24.5820 || Time: 10.2632 sec.\n",
      "===> Epoch[3](2220/5770): Loss: 140.7420 || Time: 0.3385 sec.\n",
      "===> Epoch[3](2240/5770): Loss: 246.6741 || Time: 0.3309 sec.\n",
      "===> Epoch[3](2260/5770): Loss: 153.4841 || Time: 0.3325 sec.\n",
      "===> Epoch[3](2280/5770): Loss: 478.0509 || Time: 0.3322 sec.\n",
      "===> Epoch[3](2300/5770): Loss: 335.4745 || Time: 0.3343 sec.\n",
      "===> Epoch[3](2320/5770): Loss: 132.3192 || Time: 0.3424 sec.\n",
      "===> Epoch[3](2340/5770): Loss: 575.5333 || Time: 0.3464 sec.\n",
      "===> Epoch[3](2360/5770): Loss: 142.8649 || Time: 0.3315 sec.\n",
      "===> Epoch[3](2380/5770): Loss: 377.4159 || Time: 0.3325 sec.\n",
      "===> Epoch[3](2400/5770): Loss: 190.8118 || Time: 0.3355 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 301.4559, Mean AP = 0.5544, Mean SSIM = 0.9502, Mean PSNR = 24.5625 || Time: 10.0274 sec.\n",
      "===> Epoch[3](2420/5770): Loss: 137.8721 || Time: 0.3318 sec.\n",
      "===> Epoch[3](2440/5770): Loss: 552.5964 || Time: 0.3297 sec.\n",
      "===> Epoch[3](2460/5770): Loss: 110.3891 || Time: 0.3490 sec.\n",
      "===> Epoch[3](2480/5770): Loss: 467.1760 || Time: 0.3323 sec.\n",
      "===> Epoch[3](2500/5770): Loss: 173.6345 || Time: 0.3423 sec.\n",
      "===> Epoch[3](2520/5770): Loss: 357.7533 || Time: 0.3375 sec.\n",
      "===> Epoch[3](2540/5770): Loss: 426.6211 || Time: 0.3324 sec.\n",
      "===> Epoch[3](2560/5770): Loss: 583.6252 || Time: 0.3348 sec.\n",
      "===> Epoch[3](2580/5770): Loss: 659.2508 || Time: 0.3313 sec.\n",
      "===> Epoch[3](2600/5770): Loss: 190.1717 || Time: 0.3362 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 273.5485, Mean AP = 0.5870, Mean SSIM = 0.9499, Mean PSNR = 24.5506 || Time: 10.1190 sec.\n",
      "===> Epoch[3](2620/5770): Loss: 85.0256 || Time: 0.3313 sec.\n",
      "===> Epoch[3](2640/5770): Loss: 239.8568 || Time: 0.3320 sec.\n",
      "===> Epoch[3](2660/5770): Loss: 151.6138 || Time: 0.3299 sec.\n",
      "===> Epoch[3](2680/5770): Loss: 446.6537 || Time: 0.3319 sec.\n",
      "===> Epoch[3](2700/5770): Loss: 278.8562 || Time: 0.3468 sec.\n",
      "===> Epoch[3](2720/5770): Loss: 368.1988 || Time: 0.3347 sec.\n",
      "===> Epoch[3](2740/5770): Loss: 293.0330 || Time: 0.3393 sec.\n",
      "===> Epoch[3](2760/5770): Loss: 116.3710 || Time: 0.3406 sec.\n",
      "===> Epoch[3](2780/5770): Loss: 517.2311 || Time: 0.3490 sec.\n",
      "===> Epoch[3](2800/5770): Loss: 179.2325 || Time: 0.3314 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 286.0184, Mean AP = 0.6006, Mean SSIM = 0.9489, Mean PSNR = 24.3654 || Time: 10.1414 sec.\n",
      "===> Epoch[3](2820/5770): Loss: 245.4149 || Time: 0.3293 sec.\n",
      "===> Epoch[3](2840/5770): Loss: 110.8334 || Time: 0.3299 sec.\n",
      "===> Epoch[3](2860/5770): Loss: 187.1785 || Time: 0.3315 sec.\n",
      "===> Epoch[3](2880/5770): Loss: 395.8946 || Time: 0.3305 sec.\n",
      "===> Epoch[3](2900/5770): Loss: 897.1760 || Time: 0.3364 sec.\n",
      "===> Epoch[3](2920/5770): Loss: 385.5718 || Time: 0.3409 sec.\n",
      "===> Epoch[3](2940/5770): Loss: 662.8347 || Time: 0.3350 sec.\n",
      "===> Epoch[3](2960/5770): Loss: 313.2356 || Time: 0.3323 sec.\n",
      "===> Epoch[3](2980/5770): Loss: 282.8093 || Time: 0.3320 sec.\n",
      "===> Epoch[3](3000/5770): Loss: 233.3646 || Time: 0.3356 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 279.7068, Mean AP = 0.5498, Mean SSIM = 0.9483, Mean PSNR = 24.5492 || Time: 10.0833 sec.\n",
      "Saving state, iter: 3000\n",
      "===> Epoch[3](3020/5770): Loss: 358.2826 || Time: 0.3307 sec.\n",
      "===> Epoch[3](3040/5770): Loss: 266.2865 || Time: 0.3305 sec.\n",
      "===> Epoch[3](3060/5770): Loss: 441.6685 || Time: 0.3431 sec.\n",
      "===> Epoch[3](3080/5770): Loss: 310.6775 || Time: 0.3503 sec.\n",
      "===> Epoch[3](3100/5770): Loss: 459.5052 || Time: 0.3389 sec.\n",
      "===> Epoch[3](3120/5770): Loss: 90.2869 || Time: 0.3358 sec.\n",
      "===> Epoch[3](3140/5770): Loss: 170.1339 || Time: 0.3449 sec.\n",
      "===> Epoch[3](3160/5770): Loss: 173.7291 || Time: 0.3584 sec.\n",
      "===> Epoch[3](3180/5770): Loss: 378.9931 || Time: 0.3517 sec.\n",
      "===> Epoch[3](3200/5770): Loss: 294.7740 || Time: 0.3418 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 272.5151, Mean AP = 0.5445, Mean SSIM = 0.9504, Mean PSNR = 24.5971 || Time: 9.9369 sec.\n",
      "===> Epoch[3](3220/5770): Loss: 193.9715 || Time: 0.3313 sec.\n",
      "===> Epoch[3](3240/5770): Loss: 261.8368 || Time: 0.3296 sec.\n",
      "===> Epoch[3](3260/5770): Loss: 619.5586 || Time: 0.3329 sec.\n",
      "===> Epoch[3](3280/5770): Loss: 143.1143 || Time: 0.3316 sec.\n",
      "===> Epoch[3](3300/5770): Loss: 235.6751 || Time: 0.3371 sec.\n",
      "===> Epoch[3](3320/5770): Loss: 318.1257 || Time: 0.3339 sec.\n",
      "===> Epoch[3](3340/5770): Loss: 289.3785 || Time: 0.3407 sec.\n",
      "===> Epoch[3](3360/5770): Loss: 225.2842 || Time: 0.3335 sec.\n",
      "===> Epoch[3](3380/5770): Loss: 329.5172 || Time: 0.3375 sec.\n",
      "===> Epoch[3](3400/5770): Loss: 180.7938 || Time: 0.3527 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 267.3727, Mean AP = 0.5260, Mean SSIM = 0.9496, Mean PSNR = 24.5976 || Time: 10.1131 sec.\n",
      "===> Epoch[3](3420/5770): Loss: 308.2807 || Time: 0.3296 sec.\n",
      "===> Epoch[3](3440/5770): Loss: 299.2540 || Time: 0.3419 sec.\n",
      "===> Epoch[3](3460/5770): Loss: 98.5973 || Time: 0.3351 sec.\n",
      "===> Epoch[3](3480/5770): Loss: 61.4124 || Time: 0.3440 sec.\n",
      "===> Epoch[3](3500/5770): Loss: 220.3574 || Time: 0.3324 sec.\n",
      "===> Epoch[3](3520/5770): Loss: 305.3986 || Time: 0.3424 sec.\n",
      "===> Epoch[3](3540/5770): Loss: 92.8214 || Time: 0.3413 sec.\n",
      "===> Epoch[3](3560/5770): Loss: 150.8902 || Time: 0.3408 sec.\n",
      "===> Epoch[3](3580/5770): Loss: 236.3752 || Time: 0.3414 sec.\n",
      "===> Epoch[3](3600/5770): Loss: 175.4808 || Time: 0.3401 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 257.1765, Mean AP = 0.5326, Mean SSIM = 0.9510, Mean PSNR = 24.6215 || Time: 10.0780 sec.\n",
      "===> Epoch[3](3620/5770): Loss: 344.8522 || Time: 0.3310 sec.\n",
      "===> Epoch[3](3640/5770): Loss: 197.0246 || Time: 0.3334 sec.\n",
      "===> Epoch[3](3660/5770): Loss: 168.8254 || Time: 0.3416 sec.\n",
      "===> Epoch[3](3680/5770): Loss: 402.1149 || Time: 0.3494 sec.\n",
      "===> Epoch[3](3700/5770): Loss: 172.8257 || Time: 0.3382 sec.\n",
      "===> Epoch[3](3720/5770): Loss: 622.3225 || Time: 0.3342 sec.\n",
      "===> Epoch[3](3740/5770): Loss: 288.3344 || Time: 0.3371 sec.\n",
      "===> Epoch[3](3760/5770): Loss: 153.2490 || Time: 0.3367 sec.\n",
      "===> Epoch[3](3780/5770): Loss: 257.7363 || Time: 0.3361 sec.\n",
      "===> Epoch[3](3800/5770): Loss: 67.1060 || Time: 0.3368 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 251.1841, Mean AP = 0.5515, Mean SSIM = 0.9487, Mean PSNR = 24.4119 || Time: 10.0961 sec.\n",
      "===> Epoch[3](3820/5770): Loss: 122.3881 || Time: 0.3369 sec.\n",
      "===> Epoch[3](3840/5770): Loss: 172.1470 || Time: 0.3314 sec.\n",
      "===> Epoch[3](3860/5770): Loss: 164.0657 || Time: 0.3362 sec.\n",
      "===> Epoch[3](3880/5770): Loss: 184.5172 || Time: 0.3423 sec.\n",
      "===> Epoch[3](3900/5770): Loss: 253.2320 || Time: 0.3393 sec.\n",
      "===> Epoch[3](3920/5770): Loss: 195.9688 || Time: 0.3387 sec.\n",
      "===> Epoch[3](3940/5770): Loss: 73.3598 || Time: 0.3305 sec.\n",
      "===> Epoch[3](3960/5770): Loss: 328.5222 || Time: 0.3400 sec.\n",
      "===> Epoch[3](3980/5770): Loss: 356.7576 || Time: 0.3359 sec.\n",
      "===> Epoch[3](4000/5770): Loss: 269.3525 || Time: 0.3367 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 264.9698, Mean AP = 0.6037, Mean SSIM = 0.9503, Mean PSNR = 24.5305 || Time: 10.0902 sec.\n",
      "Saving state, iter: 4000\n",
      "===> Epoch[3](4020/5770): Loss: 88.3674 || Time: 0.3282 sec.\n",
      "===> Epoch[3](4040/5770): Loss: 355.1066 || Time: 0.3342 sec.\n",
      "===> Epoch[3](4060/5770): Loss: 137.7546 || Time: 0.3358 sec.\n",
      "===> Epoch[3](4080/5770): Loss: 261.3097 || Time: 0.3323 sec.\n",
      "===> Epoch[3](4100/5770): Loss: 99.6060 || Time: 0.3306 sec.\n",
      "===> Epoch[3](4120/5770): Loss: 266.9852 || Time: 0.3334 sec.\n",
      "===> Epoch[3](4140/5770): Loss: 137.7343 || Time: 0.3320 sec.\n",
      "===> Epoch[3](4160/5770): Loss: 140.3795 || Time: 0.3383 sec.\n",
      "===> Epoch[3](4180/5770): Loss: 244.3685 || Time: 0.3401 sec.\n",
      "===> Epoch[3](4200/5770): Loss: 286.1803 || Time: 0.3441 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 248.7912, Mean AP = 0.5818, Mean SSIM = 0.9506, Mean PSNR = 24.5046 || Time: 10.0015 sec.\n",
      "===> Epoch[3](4220/5770): Loss: 312.6459 || Time: 0.3381 sec.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> Epoch[3](4240/5770): Loss: 177.2044 || Time: 0.3389 sec.\n",
      "===> Epoch[3](4260/5770): Loss: 257.5540 || Time: 0.3331 sec.\n",
      "===> Epoch[3](4280/5770): Loss: 83.1896 || Time: 0.3356 sec.\n",
      "===> Epoch[3](4300/5770): Loss: 229.7549 || Time: 0.3381 sec.\n",
      "===> Epoch[3](4320/5770): Loss: 405.8963 || Time: 0.3306 sec.\n",
      "===> Epoch[3](4340/5770): Loss: 621.0214 || Time: 0.3321 sec.\n",
      "===> Epoch[3](4360/5770): Loss: 185.4173 || Time: 0.3314 sec.\n",
      "===> Epoch[3](4380/5770): Loss: 112.6520 || Time: 0.3330 sec.\n",
      "===> Epoch[3](4400/5770): Loss: 591.8030 || Time: 0.3315 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 261.5169, Mean AP = 0.5082, Mean SSIM = 0.9503, Mean PSNR = 24.5055 || Time: 10.1991 sec.\n",
      "===> Epoch[3](4420/5770): Loss: 77.1696 || Time: 0.3300 sec.\n",
      "===> Epoch[3](4440/5770): Loss: 128.6276 || Time: 0.3341 sec.\n",
      "===> Epoch[3](4460/5770): Loss: 85.0005 || Time: 0.3345 sec.\n",
      "===> Epoch[3](4480/5770): Loss: 318.8170 || Time: 0.3373 sec.\n",
      "===> Epoch[3](4500/5770): Loss: 261.0370 || Time: 0.3398 sec.\n",
      "===> Epoch[3](4520/5770): Loss: 315.4876 || Time: 0.3333 sec.\n",
      "===> Epoch[3](4540/5770): Loss: 594.2286 || Time: 0.3418 sec.\n",
      "===> Epoch[3](4560/5770): Loss: 294.5096 || Time: 0.3582 sec.\n",
      "===> Epoch[3](4580/5770): Loss: 268.1255 || Time: 0.3335 sec.\n",
      "===> Epoch[3](4600/5770): Loss: 339.5092 || Time: 0.3348 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 275.2125, Mean AP = 0.5862, Mean SSIM = 0.9495, Mean PSNR = 24.5751 || Time: 10.0289 sec.\n",
      "===> Epoch[3](4620/5770): Loss: 332.8046 || Time: 0.3317 sec.\n",
      "===> Epoch[3](4640/5770): Loss: 379.9917 || Time: 0.3358 sec.\n",
      "===> Epoch[3](4660/5770): Loss: 51.8593 || Time: 0.3311 sec.\n",
      "===> Epoch[3](4680/5770): Loss: 128.8076 || Time: 0.3350 sec.\n",
      "===> Epoch[3](4700/5770): Loss: 275.4177 || Time: 0.3369 sec.\n",
      "===> Epoch[3](4720/5770): Loss: 175.8702 || Time: 0.3638 sec.\n",
      "===> Epoch[3](4740/5770): Loss: 130.6620 || Time: 0.3306 sec.\n",
      "===> Epoch[3](4760/5770): Loss: 258.5130 || Time: 0.3340 sec.\n",
      "===> Epoch[3](4780/5770): Loss: 136.0097 || Time: 0.3379 sec.\n",
      "===> Epoch[3](4800/5770): Loss: 327.9291 || Time: 0.3333 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 253.0210, Mean AP = 0.6155, Mean SSIM = 0.9394, Mean PSNR = 23.0749 || Time: 10.0624 sec.\n",
      "===> Epoch[3](4820/5770): Loss: 143.3027 || Time: 0.3304 sec.\n",
      "===> Epoch[3](4840/5770): Loss: 337.1972 || Time: 0.3335 sec.\n",
      "===> Epoch[3](4860/5770): Loss: 385.0912 || Time: 0.3307 sec.\n",
      "===> Epoch[3](4880/5770): Loss: 459.1366 || Time: 0.3416 sec.\n",
      "===> Epoch[3](4900/5770): Loss: 276.7620 || Time: 0.3298 sec.\n",
      "===> Epoch[3](4920/5770): Loss: 126.8370 || Time: 0.3412 sec.\n",
      "===> Epoch[3](4940/5770): Loss: 154.3882 || Time: 0.3292 sec.\n",
      "===> Epoch[3](4960/5770): Loss: 234.0076 || Time: 0.3321 sec.\n",
      "===> Epoch[3](4980/5770): Loss: 256.3676 || Time: 0.3321 sec.\n",
      "===> Epoch[3](5000/5770): Loss: 150.5755 || Time: 0.3379 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 282.9723, Mean AP = 0.5437, Mean SSIM = 0.9512, Mean PSNR = 24.6480 || Time: 10.0661 sec.\n",
      "Saving state, iter: 5000\n",
      "===> Epoch[3](5020/5770): Loss: 369.9141 || Time: 0.3328 sec.\n",
      "===> Epoch[3](5040/5770): Loss: 92.9646 || Time: 0.3375 sec.\n",
      "===> Epoch[3](5060/5770): Loss: 176.1688 || Time: 0.3391 sec.\n",
      "===> Epoch[3](5080/5770): Loss: 240.1230 || Time: 0.3340 sec.\n",
      "===> Epoch[3](5100/5770): Loss: 676.2700 || Time: 0.3591 sec.\n",
      "===> Epoch[3](5120/5770): Loss: 87.7769 || Time: 0.3325 sec.\n",
      "===> Epoch[3](5140/5770): Loss: 365.1754 || Time: 0.3384 sec.\n",
      "===> Epoch[3](5160/5770): Loss: 81.3125 || Time: 0.3305 sec.\n",
      "===> Epoch[3](5180/5770): Loss: 390.4561 || Time: 0.3358 sec.\n",
      "===> Epoch[3](5200/5770): Loss: 119.0165 || Time: 0.3586 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 270.4611, Mean AP = 0.5462, Mean SSIM = 0.9513, Mean PSNR = 24.6125 || Time: 9.9901 sec.\n",
      "===> Epoch[3](5220/5770): Loss: 116.0508 || Time: 0.3311 sec.\n",
      "===> Epoch[3](5240/5770): Loss: 233.7836 || Time: 0.3327 sec.\n",
      "===> Epoch[3](5260/5770): Loss: 275.9398 || Time: 0.3386 sec.\n",
      "===> Epoch[3](5280/5770): Loss: 270.5006 || Time: 0.3338 sec.\n",
      "===> Epoch[3](5300/5770): Loss: 169.1820 || Time: 0.3330 sec.\n",
      "===> Epoch[3](5320/5770): Loss: 350.1972 || Time: 0.3441 sec.\n",
      "===> Epoch[3](5340/5770): Loss: 171.0149 || Time: 0.3349 sec.\n",
      "===> Epoch[3](5360/5770): Loss: 56.9527 || Time: 0.3488 sec.\n",
      "===> Epoch[3](5380/5770): Loss: 200.1626 || Time: 0.3324 sec.\n",
      "===> Epoch[3](5400/5770): Loss: 136.4996 || Time: 0.3473 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 276.6736, Mean AP = 0.5617, Mean SSIM = 0.9502, Mean PSNR = 24.4787 || Time: 9.9352 sec.\n",
      "===> Epoch[3](5420/5770): Loss: 222.0127 || Time: 0.3328 sec.\n",
      "===> Epoch[3](5440/5770): Loss: 366.3545 || Time: 0.3356 sec.\n",
      "===> Epoch[3](5460/5770): Loss: 48.7628 || Time: 0.3335 sec.\n",
      "===> Epoch[3](5480/5770): Loss: 242.3290 || Time: 0.3411 sec.\n",
      "===> Epoch[3](5500/5770): Loss: 497.3298 || Time: 0.3311 sec.\n",
      "===> Epoch[3](5520/5770): Loss: 277.2526 || Time: 0.3451 sec.\n",
      "===> Epoch[3](5540/5770): Loss: 413.7025 || Time: 0.3302 sec.\n",
      "===> Epoch[3](5560/5770): Loss: 180.6306 || Time: 0.3410 sec.\n",
      "===> Epoch[3](5580/5770): Loss: 157.1485 || Time: 0.3332 sec.\n",
      "===> Epoch[3](5600/5770): Loss: 392.7004 || Time: 0.3371 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 254.7876, Mean AP = 0.5257, Mean SSIM = 0.9517, Mean PSNR = 24.6951 || Time: 10.1413 sec.\n",
      "===> Epoch 3 Complete: Avg. Loss: 135.1712 || Time: 2172.0036 sec.\n",
      "===> Epoch[4](20/5770): Loss: 164.9729 || Time: 0.3274 sec.\n",
      "===> Epoch[4](40/5770): Loss: 145.0211 || Time: 0.3300 sec.\n",
      "===> Epoch[4](60/5770): Loss: 281.5283 || Time: 0.3347 sec.\n",
      "===> Epoch[4](80/5770): Loss: 137.9521 || Time: 0.3381 sec.\n",
      "===> Epoch[4](100/5770): Loss: 364.5320 || Time: 0.3487 sec.\n",
      "===> Epoch[4](120/5770): Loss: 130.1321 || Time: 0.3309 sec.\n",
      "===> Epoch[4](140/5770): Loss: 447.7139 || Time: 0.3299 sec.\n",
      "===> Epoch[4](160/5770): Loss: 297.0434 || Time: 0.3300 sec.\n",
      "===> Epoch[4](180/5770): Loss: 379.2890 || Time: 0.3384 sec.\n",
      "===> Epoch[4](200/5770): Loss: 256.4706 || Time: 0.3367 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 241.8812, Mean AP = 0.5270, Mean SSIM = 0.9514, Mean PSNR = 24.6718 || Time: 10.1921 sec.\n",
      "===> Epoch[4](220/5770): Loss: 113.6806 || Time: 0.3297 sec.\n",
      "===> Epoch[4](240/5770): Loss: 257.0089 || Time: 0.3320 sec.\n",
      "===> Epoch[4](260/5770): Loss: 275.1137 || Time: 0.3343 sec.\n",
      "===> Epoch[4](280/5770): Loss: 156.9328 || Time: 0.3308 sec.\n",
      "===> Epoch[4](300/5770): Loss: 177.4858 || Time: 0.3338 sec.\n",
      "===> Epoch[4](320/5770): Loss: 188.5400 || Time: 0.3396 sec.\n",
      "===> Epoch[4](340/5770): Loss: 210.4436 || Time: 0.3515 sec.\n",
      "===> Epoch[4](360/5770): Loss: 242.6880 || Time: 0.3333 sec.\n",
      "===> Epoch[4](380/5770): Loss: 220.4618 || Time: 0.3401 sec.\n",
      "===> Epoch[4](400/5770): Loss: 346.6663 || Time: 0.3313 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 247.6312, Mean AP = 0.5377, Mean SSIM = 0.9516, Mean PSNR = 24.6997 || Time: 10.1643 sec.\n",
      "===> Epoch[4](420/5770): Loss: 122.9576 || Time: 0.3292 sec.\n",
      "===> Epoch[4](440/5770): Loss: 477.0576 || Time: 0.3403 sec.\n",
      "===> Epoch[4](460/5770): Loss: 201.4094 || Time: 0.3424 sec.\n",
      "===> Epoch[4](480/5770): Loss: 71.2567 || Time: 0.3365 sec.\n",
      "===> Epoch[4](500/5770): Loss: 99.6507 || Time: 0.3357 sec.\n",
      "===> Epoch[4](520/5770): Loss: 248.6521 || Time: 0.3304 sec.\n",
      "===> Epoch[4](540/5770): Loss: 306.4574 || Time: 0.3362 sec.\n",
      "===> Epoch[4](560/5770): Loss: 228.9247 || Time: 0.3313 sec.\n",
      "===> Epoch[4](580/5770): Loss: 294.3081 || Time: 0.3319 sec.\n",
      "===> Epoch[4](600/5770): Loss: 56.0532 || Time: 0.3387 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 248.1256, Mean AP = 0.5557, Mean SSIM = 0.9516, Mean PSNR = 24.7310 || Time: 10.1953 sec.\n",
      "===> Epoch[4](620/5770): Loss: 157.0170 || Time: 0.3316 sec.\n",
      "===> Epoch[4](640/5770): Loss: 219.9955 || Time: 0.3344 sec.\n",
      "===> Epoch[4](660/5770): Loss: 143.9762 || Time: 0.3419 sec.\n",
      "===> Epoch[4](680/5770): Loss: 213.8502 || Time: 0.3300 sec.\n",
      "===> Epoch[4](700/5770): Loss: 296.3609 || Time: 0.3483 sec.\n",
      "===> Epoch[4](720/5770): Loss: 107.8737 || Time: 0.3304 sec.\n",
      "===> Epoch[4](740/5770): Loss: 407.2851 || Time: 0.3446 sec.\n",
      "===> Epoch[4](760/5770): Loss: 318.2162 || Time: 0.3322 sec.\n",
      "===> Epoch[4](780/5770): Loss: 461.1892 || Time: 0.3319 sec.\n",
      "===> Epoch[4](800/5770): Loss: 183.7039 || Time: 0.3351 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 257.0502, Mean AP = 0.5567, Mean SSIM = 0.9510, Mean PSNR = 24.6875 || Time: 10.0353 sec.\n",
      "===> Epoch[4](820/5770): Loss: 349.4161 || Time: 0.3285 sec.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> Epoch[4](840/5770): Loss: 339.5083 || Time: 0.3344 sec.\n",
      "===> Epoch[4](860/5770): Loss: 295.8097 || Time: 0.3298 sec.\n",
      "===> Epoch[4](880/5770): Loss: 203.7758 || Time: 0.3318 sec.\n",
      "===> Epoch[4](900/5770): Loss: 413.7896 || Time: 0.3327 sec.\n",
      "===> Epoch[4](920/5770): Loss: 204.1564 || Time: 0.3354 sec.\n",
      "===> Epoch[4](940/5770): Loss: 337.7246 || Time: 0.3329 sec.\n",
      "===> Epoch[4](960/5770): Loss: 111.0636 || Time: 0.3455 sec.\n",
      "===> Epoch[4](980/5770): Loss: 350.3280 || Time: 0.3358 sec.\n",
      "===> Epoch[4](1000/5770): Loss: 103.8869 || Time: 0.3378 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 249.9532, Mean AP = 0.5955, Mean SSIM = 0.9512, Mean PSNR = 24.6778 || Time: 10.1546 sec.\n",
      "Saving state, iter: 1000\n",
      "===> Epoch[4](1020/5770): Loss: 281.4868 || Time: 0.3292 sec.\n",
      "===> Epoch[4](1040/5770): Loss: 328.5679 || Time: 0.3277 sec.\n",
      "===> Epoch[4](1060/5770): Loss: 152.0229 || Time: 0.3357 sec.\n",
      "===> Epoch[4](1080/5770): Loss: 622.7220 || Time: 0.3369 sec.\n",
      "===> Epoch[4](1100/5770): Loss: 344.3232 || Time: 0.3319 sec.\n",
      "===> Epoch[4](1120/5770): Loss: 301.2736 || Time: 0.3595 sec.\n",
      "===> Epoch[4](1140/5770): Loss: 166.8327 || Time: 0.3424 sec.\n",
      "===> Epoch[4](1160/5770): Loss: 236.2670 || Time: 0.3318 sec.\n",
      "===> Epoch[4](1180/5770): Loss: 160.6242 || Time: 0.3348 sec.\n",
      "===> Epoch[4](1200/5770): Loss: 174.5176 || Time: 0.3422 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 269.5880, Mean AP = 0.5341, Mean SSIM = 0.9468, Mean PSNR = 24.3806 || Time: 10.2045 sec.\n",
      "===> Epoch[4](1220/5770): Loss: 351.9611 || Time: 0.3287 sec.\n",
      "===> Epoch[4](1240/5770): Loss: 332.9331 || Time: 0.3430 sec.\n",
      "===> Epoch[4](1260/5770): Loss: 589.2906 || Time: 0.3331 sec.\n",
      "===> Epoch[4](1280/5770): Loss: 309.0392 || Time: 0.3322 sec.\n",
      "===> Epoch[4](1300/5770): Loss: 127.2950 || Time: 0.3362 sec.\n",
      "===> Epoch[4](1320/5770): Loss: 448.8863 || Time: 0.3332 sec.\n",
      "===> Epoch[4](1340/5770): Loss: 198.8118 || Time: 0.3310 sec.\n",
      "===> Epoch[4](1360/5770): Loss: 153.5089 || Time: 0.3329 sec.\n",
      "===> Epoch[4](1380/5770): Loss: 168.4095 || Time: 0.3311 sec.\n",
      "===> Epoch[4](1400/5770): Loss: 258.9076 || Time: 0.3413 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 269.1309, Mean AP = 0.5501, Mean SSIM = 0.9515, Mean PSNR = 24.7472 || Time: 10.1110 sec.\n",
      "===> Epoch[4](1420/5770): Loss: 265.4883 || Time: 0.3330 sec.\n",
      "===> Epoch[4](1440/5770): Loss: 263.7357 || Time: 0.3324 sec.\n",
      "===> Epoch[4](1460/5770): Loss: 308.7938 || Time: 0.3307 sec.\n",
      "===> Epoch[4](1480/5770): Loss: 214.7375 || Time: 0.3455 sec.\n",
      "===> Epoch[4](1500/5770): Loss: 332.3997 || Time: 0.3367 sec.\n",
      "===> Epoch[4](1520/5770): Loss: 197.3647 || Time: 0.3325 sec.\n",
      "===> Epoch[4](1540/5770): Loss: 252.7681 || Time: 0.3324 sec.\n",
      "===> Epoch[4](1560/5770): Loss: 352.4265 || Time: 0.3359 sec.\n",
      "===> Epoch[4](1580/5770): Loss: 116.7863 || Time: 0.3314 sec.\n",
      "===> Epoch[4](1600/5770): Loss: 95.6762 || Time: 0.3317 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 264.6708, Mean AP = 0.5644, Mean SSIM = 0.9519, Mean PSNR = 24.7495 || Time: 10.0709 sec.\n",
      "===> Epoch[4](1620/5770): Loss: 380.6899 || Time: 0.3284 sec.\n",
      "===> Epoch[4](1640/5770): Loss: 393.3051 || Time: 0.3312 sec.\n",
      "===> Epoch[4](1660/5770): Loss: 127.1724 || Time: 0.3321 sec.\n",
      "===> Epoch[4](1680/5770): Loss: 159.8825 || Time: 0.3486 sec.\n",
      "===> Epoch[4](1700/5770): Loss: 356.9115 || Time: 0.3377 sec.\n",
      "===> Epoch[4](1720/5770): Loss: 206.9618 || Time: 0.3322 sec.\n",
      "===> Epoch[4](1740/5770): Loss: 631.9859 || Time: 0.3568 sec.\n",
      "===> Epoch[4](1760/5770): Loss: 310.8689 || Time: 0.3339 sec.\n",
      "===> Epoch[4](1780/5770): Loss: 330.8427 || Time: 0.3509 sec.\n",
      "===> Epoch[4](1800/5770): Loss: 102.4152 || Time: 0.3467 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 277.0753, Mean AP = 0.5523, Mean SSIM = 0.9516, Mean PSNR = 24.7400 || Time: 9.9786 sec.\n",
      "===> Epoch[4](1820/5770): Loss: 139.9402 || Time: 0.3382 sec.\n",
      "===> Epoch[4](1840/5770): Loss: 477.4640 || Time: 0.3318 sec.\n",
      "===> Epoch[4](1860/5770): Loss: 309.0880 || Time: 0.3361 sec.\n",
      "===> Epoch[4](1880/5770): Loss: 191.0239 || Time: 0.3341 sec.\n",
      "===> Epoch[4](1900/5770): Loss: 170.1178 || Time: 0.3421 sec.\n",
      "===> Epoch[4](1920/5770): Loss: 321.2355 || Time: 0.3372 sec.\n",
      "===> Epoch[4](1940/5770): Loss: 141.5596 || Time: 0.3322 sec.\n",
      "===> Epoch[4](1960/5770): Loss: 182.2775 || Time: 0.3380 sec.\n",
      "===> Epoch[4](1980/5770): Loss: 264.1337 || Time: 0.3354 sec.\n",
      "===> Epoch[4](2000/5770): Loss: 245.9923 || Time: 0.3388 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 259.4348, Mean AP = 0.5657, Mean SSIM = 0.9453, Mean PSNR = 24.5151 || Time: 10.1038 sec.\n",
      "Saving state, iter: 2000\n",
      "===> Epoch[4](2020/5770): Loss: 148.4162 || Time: 0.3312 sec.\n",
      "===> Epoch[4](2040/5770): Loss: 510.1445 || Time: 0.3327 sec.\n",
      "===> Epoch[4](2060/5770): Loss: 207.5919 || Time: 0.3364 sec.\n",
      "===> Epoch[4](2080/5770): Loss: 128.7550 || Time: 0.3363 sec.\n",
      "===> Epoch[4](2100/5770): Loss: 203.7601 || Time: 0.3533 sec.\n",
      "===> Epoch[4](2120/5770): Loss: 141.5191 || Time: 0.3570 sec.\n",
      "===> Epoch[4](2140/5770): Loss: 249.6468 || Time: 0.3345 sec.\n",
      "===> Epoch[4](2160/5770): Loss: 303.5711 || Time: 0.3302 sec.\n",
      "===> Epoch[4](2180/5770): Loss: 298.2169 || Time: 0.3414 sec.\n",
      "===> Epoch[4](2200/5770): Loss: 401.7872 || Time: 0.3479 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 263.2537, Mean AP = 0.5505, Mean SSIM = 0.9522, Mean PSNR = 24.7888 || Time: 10.0473 sec.\n",
      "===> Epoch[4](2220/5770): Loss: 130.5466 || Time: 0.3288 sec.\n",
      "===> Epoch[4](2240/5770): Loss: 229.1061 || Time: 0.3322 sec.\n",
      "===> Epoch[4](2260/5770): Loss: 144.3526 || Time: 0.3350 sec.\n",
      "===> Epoch[4](2280/5770): Loss: 469.8833 || Time: 0.3375 sec.\n",
      "===> Epoch[4](2300/5770): Loss: 325.2451 || Time: 0.3324 sec.\n",
      "===> Epoch[4](2320/5770): Loss: 126.9688 || Time: 0.3339 sec.\n",
      "===> Epoch[4](2340/5770): Loss: 556.9017 || Time: 0.3331 sec.\n",
      "===> Epoch[4](2360/5770): Loss: 140.0061 || Time: 0.3340 sec.\n",
      "===> Epoch[4](2380/5770): Loss: 364.8027 || Time: 0.3513 sec.\n",
      "===> Epoch[4](2400/5770): Loss: 178.3043 || Time: 0.3581 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 289.4933, Mean AP = 0.5677, Mean SSIM = 0.9518, Mean PSNR = 24.7735 || Time: 10.0624 sec.\n",
      "===> Epoch[4](2420/5770): Loss: 131.6981 || Time: 0.3324 sec.\n",
      "===> Epoch[4](2440/5770): Loss: 533.0320 || Time: 0.3381 sec.\n",
      "===> Epoch[4](2460/5770): Loss: 101.3077 || Time: 0.3388 sec.\n",
      "===> Epoch[4](2480/5770): Loss: 454.3792 || Time: 0.3299 sec.\n",
      "===> Epoch[4](2500/5770): Loss: 169.1279 || Time: 0.3294 sec.\n",
      "===> Epoch[4](2520/5770): Loss: 340.6432 || Time: 0.3333 sec.\n",
      "===> Epoch[4](2540/5770): Loss: 412.0601 || Time: 0.3351 sec.\n",
      "===> Epoch[4](2560/5770): Loss: 563.4366 || Time: 0.3312 sec.\n",
      "===> Epoch[4](2580/5770): Loss: 643.0198 || Time: 0.3456 sec.\n",
      "===> Epoch[4](2600/5770): Loss: 175.0799 || Time: 0.3333 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 260.1162, Mean AP = 0.5414, Mean SSIM = 0.9523, Mean PSNR = 24.7693 || Time: 10.1475 sec.\n",
      "===> Epoch[4](2620/5770): Loss: 78.7486 || Time: 0.3300 sec.\n",
      "===> Epoch[4](2640/5770): Loss: 225.9566 || Time: 0.3367 sec.\n",
      "===> Epoch[4](2660/5770): Loss: 143.2526 || Time: 0.3307 sec.\n",
      "===> Epoch[4](2680/5770): Loss: 418.4688 || Time: 0.3349 sec.\n",
      "===> Epoch[4](2700/5770): Loss: 261.2884 || Time: 0.3330 sec.\n",
      "===> Epoch[4](2720/5770): Loss: 351.7534 || Time: 0.3340 sec.\n",
      "===> Epoch[4](2740/5770): Loss: 287.6877 || Time: 0.3489 sec.\n",
      "===> Epoch[4](2760/5770): Loss: 110.4440 || Time: 0.3297 sec.\n",
      "===> Epoch[4](2780/5770): Loss: 484.7824 || Time: 0.3380 sec.\n",
      "===> Epoch[4](2800/5770): Loss: 165.5234 || Time: 0.3343 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 273.5723, Mean AP = 0.5264, Mean SSIM = 0.9519, Mean PSNR = 24.7870 || Time: 10.1147 sec.\n",
      "===> Epoch[4](2820/5770): Loss: 236.7789 || Time: 0.3315 sec.\n",
      "===> Epoch[4](2840/5770): Loss: 103.1663 || Time: 0.3477 sec.\n",
      "===> Epoch[4](2860/5770): Loss: 176.6575 || Time: 0.3573 sec.\n",
      "===> Epoch[4](2880/5770): Loss: 347.5441 || Time: 0.3315 sec.\n",
      "===> Epoch[4](2900/5770): Loss: 885.1588 || Time: 0.3323 sec.\n",
      "===> Epoch[4](2920/5770): Loss: 366.6606 || Time: 0.3332 sec.\n",
      "===> Epoch[4](2940/5770): Loss: 633.8857 || Time: 0.3474 sec.\n",
      "===> Epoch[4](2960/5770): Loss: 310.1548 || Time: 0.3456 sec.\n",
      "===> Epoch[4](2980/5770): Loss: 278.2812 || Time: 0.3371 sec.\n",
      "===> Epoch[4](3000/5770): Loss: 225.6264 || Time: 0.3317 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 264.8285, Mean AP = 0.5693, Mean SSIM = 0.9526, Mean PSNR = 24.7988 || Time: 10.1091 sec.\n",
      "Saving state, iter: 3000\n",
      "===> Epoch[4](3020/5770): Loss: 347.8979 || Time: 0.3293 sec.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> Epoch[4](3040/5770): Loss: 247.4878 || Time: 0.3412 sec.\n",
      "===> Epoch[4](3060/5770): Loss: 427.2619 || Time: 0.3330 sec.\n",
      "===> Epoch[4](3080/5770): Loss: 299.6335 || Time: 0.3362 sec.\n",
      "===> Epoch[4](3100/5770): Loss: 417.6372 || Time: 0.3341 sec.\n",
      "===> Epoch[4](3120/5770): Loss: 86.3311 || Time: 0.3373 sec.\n",
      "===> Epoch[4](3140/5770): Loss: 156.0644 || Time: 0.3316 sec.\n",
      "===> Epoch[4](3160/5770): Loss: 165.8918 || Time: 0.3427 sec.\n",
      "===> Epoch[4](3180/5770): Loss: 367.1500 || Time: 0.3371 sec.\n",
      "===> Epoch[4](3200/5770): Loss: 278.2109 || Time: 0.3383 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 260.9398, Mean AP = 0.5450, Mean SSIM = 0.9524, Mean PSNR = 24.7983 || Time: 9.9944 sec.\n",
      "===> Epoch[4](3220/5770): Loss: 170.4543 || Time: 0.3378 sec.\n",
      "===> Epoch[4](3240/5770): Loss: 257.8379 || Time: 0.3351 sec.\n",
      "===> Epoch[4](3260/5770): Loss: 598.7135 || Time: 0.3311 sec.\n",
      "===> Epoch[4](3280/5770): Loss: 137.2001 || Time: 0.3371 sec.\n",
      "===> Epoch[4](3300/5770): Loss: 228.4356 || Time: 0.3328 sec.\n",
      "===> Epoch[4](3320/5770): Loss: 302.8580 || Time: 0.3325 sec.\n",
      "===> Epoch[4](3340/5770): Loss: 278.1646 || Time: 0.3383 sec.\n",
      "===> Epoch[4](3360/5770): Loss: 216.9016 || Time: 0.3307 sec.\n",
      "===> Epoch[4](3380/5770): Loss: 317.2447 || Time: 0.3386 sec.\n",
      "===> Epoch[4](3400/5770): Loss: 175.8866 || Time: 0.3522 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 256.1653, Mean AP = 0.5402, Mean SSIM = 0.9524, Mean PSNR = 24.8278 || Time: 10.1163 sec.\n",
      "===> Epoch[4](3420/5770): Loss: 304.8426 || Time: 0.3404 sec.\n",
      "===> Epoch[4](3440/5770): Loss: 284.8478 || Time: 0.3388 sec.\n",
      "===> Epoch[4](3460/5770): Loss: 87.4506 || Time: 0.3451 sec.\n",
      "===> Epoch[4](3480/5770): Loss: 57.6483 || Time: 0.3427 sec.\n",
      "===> Epoch[4](3500/5770): Loss: 199.7343 || Time: 0.3451 sec.\n",
      "===> Epoch[4](3520/5770): Loss: 288.7151 || Time: 0.3318 sec.\n",
      "===> Epoch[4](3540/5770): Loss: 86.1032 || Time: 0.3389 sec.\n",
      "===> Epoch[4](3560/5770): Loss: 141.4089 || Time: 0.3350 sec.\n",
      "===> Epoch[4](3580/5770): Loss: 229.2446 || Time: 0.3422 sec.\n",
      "===> Epoch[4](3600/5770): Loss: 167.1419 || Time: 0.3332 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 247.7072, Mean AP = 0.5411, Mean SSIM = 0.9526, Mean PSNR = 24.8039 || Time: 10.0727 sec.\n",
      "===> Epoch[4](3620/5770): Loss: 328.7357 || Time: 0.3289 sec.\n",
      "===> Epoch[4](3640/5770): Loss: 187.8284 || Time: 0.3325 sec.\n",
      "===> Epoch[4](3660/5770): Loss: 162.1873 || Time: 0.3331 sec.\n",
      "===> Epoch[4](3680/5770): Loss: 395.4002 || Time: 0.3426 sec.\n",
      "===> Epoch[4](3700/5770): Loss: 161.0445 || Time: 0.3414 sec.\n",
      "===> Epoch[4](3720/5770): Loss: 606.4750 || Time: 0.3309 sec.\n",
      "===> Epoch[4](3740/5770): Loss: 281.4157 || Time: 0.3356 sec.\n",
      "===> Epoch[4](3760/5770): Loss: 143.1645 || Time: 0.3502 sec.\n",
      "===> Epoch[4](3780/5770): Loss: 247.3773 || Time: 0.3433 sec.\n",
      "===> Epoch[4](3800/5770): Loss: 58.8940 || Time: 0.3326 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 241.5858, Mean AP = 0.5501, Mean SSIM = 0.9526, Mean PSNR = 24.8048 || Time: 10.1051 sec.\n",
      "===> Epoch[4](3820/5770): Loss: 103.4506 || Time: 0.3289 sec.\n",
      "===> Epoch[4](3840/5770): Loss: 155.6192 || Time: 0.3304 sec.\n",
      "===> Epoch[4](3860/5770): Loss: 141.2695 || Time: 0.3376 sec.\n",
      "===> Epoch[4](3880/5770): Loss: 169.6023 || Time: 0.3313 sec.\n",
      "===> Epoch[4](3900/5770): Loss: 243.8200 || Time: 0.3415 sec.\n",
      "===> Epoch[4](3920/5770): Loss: 170.5045 || Time: 0.3306 sec.\n",
      "===> Epoch[4](3940/5770): Loss: 66.8911 || Time: 0.3385 sec.\n",
      "===> Epoch[4](3960/5770): Loss: 290.8643 || Time: 0.3321 sec.\n",
      "===> Epoch[4](3980/5770): Loss: 324.0529 || Time: 0.3340 sec.\n",
      "===> Epoch[4](4000/5770): Loss: 247.9521 || Time: 0.3311 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 246.5264, Mean AP = 0.5742, Mean SSIM = 0.9525, Mean PSNR = 24.7798 || Time: 10.0650 sec.\n",
      "Saving state, iter: 4000\n",
      "===> Epoch[4](4020/5770): Loss: 74.5150 || Time: 0.3300 sec.\n",
      "===> Epoch[4](4040/5770): Loss: 338.6882 || Time: 0.3471 sec.\n",
      "===> Epoch[4](4060/5770): Loss: 129.7652 || Time: 0.3339 sec.\n",
      "===> Epoch[4](4080/5770): Loss: 252.8983 || Time: 0.3338 sec.\n",
      "===> Epoch[4](4100/5770): Loss: 88.4953 || Time: 0.3432 sec.\n",
      "===> Epoch[4](4120/5770): Loss: 260.6815 || Time: 0.3319 sec.\n",
      "===> Epoch[4](4140/5770): Loss: 136.4257 || Time: 0.3313 sec.\n",
      "===> Epoch[4](4160/5770): Loss: 147.6679 || Time: 0.3307 sec.\n",
      "===> Epoch[4](4180/5770): Loss: 301.8713 || Time: 0.3347 sec.\n",
      "===> Epoch[4](4200/5770): Loss: 283.4862 || Time: 0.3443 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 246.5242, Mean AP = 0.5581, Mean SSIM = 0.9459, Mean PSNR = 24.4484 || Time: 10.0451 sec.\n",
      "===> Epoch[4](4220/5770): Loss: 305.0237 || Time: 0.3312 sec.\n",
      "===> Epoch[4](4240/5770): Loss: 176.4435 || Time: 0.3300 sec.\n",
      "===> Epoch[4](4260/5770): Loss: 237.9526 || Time: 0.3317 sec.\n",
      "===> Epoch[4](4280/5770): Loss: 73.0092 || Time: 0.3322 sec.\n",
      "===> Epoch[4](4300/5770): Loss: 224.6931 || Time: 0.3349 sec.\n",
      "===> Epoch[4](4320/5770): Loss: 391.3812 || Time: 0.3527 sec.\n",
      "===> Epoch[4](4340/5770): Loss: 562.3961 || Time: 0.3339 sec.\n",
      "===> Epoch[4](4360/5770): Loss: 176.0910 || Time: 0.3413 sec.\n",
      "===> Epoch[4](4380/5770): Loss: 93.9333 || Time: 0.3329 sec.\n",
      "===> Epoch[4](4400/5770): Loss: 582.6191 || Time: 0.3324 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 248.7822, Mean AP = 0.5555, Mean SSIM = 0.9522, Mean PSNR = 24.8297 || Time: 10.0320 sec.\n",
      "===> Epoch[4](4420/5770): Loss: 47.8672 || Time: 0.3290 sec.\n",
      "===> Epoch[4](4440/5770): Loss: 120.4381 || Time: 0.3423 sec.\n",
      "===> Epoch[4](4460/5770): Loss: 80.8144 || Time: 0.3369 sec.\n",
      "===> Epoch[4](4480/5770): Loss: 263.9493 || Time: 0.3318 sec.\n",
      "===> Epoch[4](4500/5770): Loss: 248.8449 || Time: 0.3435 sec.\n",
      "===> Epoch[4](4520/5770): Loss: 301.4682 || Time: 0.3488 sec.\n",
      "===> Epoch[4](4540/5770): Loss: 583.3219 || Time: 0.3310 sec.\n",
      "===> Epoch[4](4560/5770): Loss: 284.6028 || Time: 0.3300 sec.\n",
      "===> Epoch[4](4580/5770): Loss: 259.9760 || Time: 0.3313 sec.\n",
      "===> Epoch[4](4600/5770): Loss: 329.5439 || Time: 0.3322 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 259.8300, Mean AP = 0.5093, Mean SSIM = 0.9523, Mean PSNR = 24.8026 || Time: 10.0788 sec.\n",
      "===> Epoch[4](4620/5770): Loss: 314.2451 || Time: 0.3409 sec.\n",
      "===> Epoch[4](4640/5770): Loss: 371.1386 || Time: 0.3443 sec.\n",
      "===> Epoch[4](4660/5770): Loss: 50.7510 || Time: 0.3394 sec.\n",
      "===> Epoch[4](4680/5770): Loss: 127.0990 || Time: 0.3394 sec.\n",
      "===> Epoch[4](4700/5770): Loss: 268.9061 || Time: 0.3422 sec.\n",
      "===> Epoch[4](4720/5770): Loss: 168.1284 || Time: 0.3439 sec.\n",
      "===> Epoch[4](4740/5770): Loss: 124.9374 || Time: 0.3387 sec.\n",
      "===> Epoch[4](4760/5770): Loss: 247.4216 || Time: 0.3368 sec.\n",
      "===> Epoch[4](4780/5770): Loss: 130.0944 || Time: 0.3341 sec.\n",
      "===> Epoch[4](4800/5770): Loss: 296.3917 || Time: 0.3433 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 240.1711, Mean AP = 0.5659, Mean SSIM = 0.9389, Mean PSNR = 24.4300 || Time: 10.0684 sec.\n",
      "===> Epoch[4](4820/5770): Loss: 59.3737 || Time: 0.3284 sec.\n",
      "===> Epoch[4](4840/5770): Loss: 325.4981 || Time: 0.3356 sec.\n",
      "===> Epoch[4](4860/5770): Loss: 373.8622 || Time: 0.3366 sec.\n",
      "===> Epoch[4](4880/5770): Loss: 452.0369 || Time: 0.3309 sec.\n",
      "===> Epoch[4](4900/5770): Loss: 251.6052 || Time: 0.3509 sec.\n",
      "===> Epoch[4](4920/5770): Loss: 113.9122 || Time: 0.3327 sec.\n",
      "===> Epoch[4](4940/5770): Loss: 151.6774 || Time: 0.3323 sec.\n",
      "===> Epoch[4](4960/5770): Loss: 222.7658 || Time: 0.3319 sec.\n",
      "===> Epoch[4](4980/5770): Loss: 247.9338 || Time: 0.3373 sec.\n",
      "===> Epoch[4](5000/5770): Loss: 147.0013 || Time: 0.3338 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 262.6912, Mean AP = 0.5721, Mean SSIM = 0.9529, Mean PSNR = 24.8607 || Time: 10.2711 sec.\n",
      "Saving state, iter: 5000\n",
      "===> Epoch[4](5020/5770): Loss: 354.6595 || Time: 0.3298 sec.\n",
      "===> Epoch[4](5040/5770): Loss: 89.1533 || Time: 0.3344 sec.\n",
      "===> Epoch[4](5060/5770): Loss: 169.4474 || Time: 0.3324 sec.\n",
      "===> Epoch[4](5080/5770): Loss: 236.3438 || Time: 0.3345 sec.\n",
      "===> Epoch[4](5100/5770): Loss: 668.9755 || Time: 0.3360 sec.\n",
      "===> Epoch[4](5120/5770): Loss: 79.0665 || Time: 0.3416 sec.\n",
      "===> Epoch[4](5140/5770): Loss: 344.7112 || Time: 0.3327 sec.\n",
      "===> Epoch[4](5160/5770): Loss: 75.8784 || Time: 0.3348 sec.\n",
      "===> Epoch[4](5180/5770): Loss: 363.5598 || Time: 0.3336 sec.\n",
      "===> Epoch[4](5200/5770): Loss: 115.0832 || Time: 0.3422 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 259.5370, Mean AP = 0.5501, Mean SSIM = 0.9529, Mean PSNR = 24.8775 || Time: 10.0704 sec.\n",
      "===> Epoch[4](5220/5770): Loss: 107.9649 || Time: 0.3305 sec.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> Epoch[4](5240/5770): Loss: 221.2067 || Time: 0.3296 sec.\n",
      "===> Epoch[4](5260/5770): Loss: 286.8557 || Time: 0.3346 sec.\n",
      "===> Epoch[4](5280/5770): Loss: 259.6017 || Time: 0.3414 sec.\n",
      "===> Epoch[4](5300/5770): Loss: 158.5243 || Time: 0.3344 sec.\n",
      "===> Epoch[4](5320/5770): Loss: 335.4872 || Time: 0.3282 sec.\n",
      "===> Epoch[4](5340/5770): Loss: 161.1602 || Time: 0.3332 sec.\n",
      "===> Epoch[4](5360/5770): Loss: 54.3064 || Time: 0.3364 sec.\n",
      "===> Epoch[4](5380/5770): Loss: 193.3412 || Time: 0.3348 sec.\n",
      "===> Epoch[4](5400/5770): Loss: 127.9927 || Time: 0.3316 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 263.8444, Mean AP = 0.5265, Mean SSIM = 0.9529, Mean PSNR = 24.7068 || Time: 10.0278 sec.\n",
      "===> Epoch[4](5420/5770): Loss: 213.0078 || Time: 0.3314 sec.\n",
      "===> Epoch[4](5440/5770): Loss: 346.6653 || Time: 0.3337 sec.\n",
      "===> Epoch[4](5460/5770): Loss: 45.2970 || Time: 0.3312 sec.\n",
      "===> Epoch[4](5480/5770): Loss: 219.9874 || Time: 0.3351 sec.\n",
      "===> Epoch[4](5500/5770): Loss: 480.9858 || Time: 0.3386 sec.\n",
      "===> Epoch[4](5520/5770): Loss: 265.9446 || Time: 0.3325 sec.\n",
      "===> Epoch[4](5540/5770): Loss: 405.0243 || Time: 0.3583 sec.\n",
      "===> Epoch[4](5560/5770): Loss: 166.1769 || Time: 0.3375 sec.\n",
      "===> Epoch[4](5580/5770): Loss: 146.1255 || Time: 0.3348 sec.\n",
      "===> Epoch[4](5600/5770): Loss: 372.7195 || Time: 0.3310 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 241.9299, Mean AP = 0.5516, Mean SSIM = 0.9533, Mean PSNR = 24.9159 || Time: 10.0672 sec.\n",
      "===> Epoch 4 Complete: Avg. Loss: 128.7862 || Time: 2175.0774 sec.\n",
      "===> Epoch[5](20/5770): Loss: 158.3177 || Time: 0.3314 sec.\n",
      "===> Epoch[5](40/5770): Loss: 114.2165 || Time: 0.3534 sec.\n",
      "===> Epoch[5](60/5770): Loss: 266.4249 || Time: 0.3398 sec.\n",
      "===> Epoch[5](80/5770): Loss: 131.8225 || Time: 0.3574 sec.\n",
      "===> Epoch[5](100/5770): Loss: 343.2816 || Time: 0.3384 sec.\n",
      "===> Epoch[5](120/5770): Loss: 123.2662 || Time: 0.3405 sec.\n",
      "===> Epoch[5](140/5770): Loss: 423.5415 || Time: 0.3390 sec.\n",
      "===> Epoch[5](160/5770): Loss: 278.7795 || Time: 0.3687 sec.\n",
      "===> Epoch[5](180/5770): Loss: 375.8755 || Time: 0.3379 sec.\n",
      "===> Epoch[5](200/5770): Loss: 246.8991 || Time: 0.3630 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 226.1989, Mean AP = 0.5631, Mean SSIM = 0.9534, Mean PSNR = 24.9234 || Time: 10.1627 sec.\n",
      "===> Epoch[5](220/5770): Loss: 104.4380 || Time: 0.3352 sec.\n",
      "===> Epoch[5](240/5770): Loss: 253.5980 || Time: 0.3314 sec.\n",
      "===> Epoch[5](260/5770): Loss: 260.6543 || Time: 0.3341 sec.\n",
      "===> Epoch[5](280/5770): Loss: 149.8963 || Time: 0.3373 sec.\n",
      "===> Epoch[5](300/5770): Loss: 168.8105 || Time: 0.3320 sec.\n",
      "===> Epoch[5](320/5770): Loss: 176.3446 || Time: 0.3304 sec.\n",
      "===> Epoch[5](340/5770): Loss: 191.8621 || Time: 0.3323 sec.\n",
      "===> Epoch[5](360/5770): Loss: 235.5312 || Time: 0.3379 sec.\n",
      "===> Epoch[5](380/5770): Loss: 210.9622 || Time: 0.3346 sec.\n",
      "===> Epoch[5](400/5770): Loss: 330.0698 || Time: 0.3363 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 236.0229, Mean AP = 0.5604, Mean SSIM = 0.9532, Mean PSNR = 24.8733 || Time: 10.0390 sec.\n",
      "===> Epoch[5](420/5770): Loss: 112.6084 || Time: 0.3327 sec.\n",
      "===> Epoch[5](440/5770): Loss: 459.4378 || Time: 0.3354 sec.\n",
      "===> Epoch[5](460/5770): Loss: 192.5120 || Time: 0.3327 sec.\n",
      "===> Epoch[5](480/5770): Loss: 67.0080 || Time: 0.3344 sec.\n",
      "===> Epoch[5](500/5770): Loss: 98.5362 || Time: 0.3565 sec.\n",
      "===> Epoch[5](520/5770): Loss: 239.1514 || Time: 0.3318 sec.\n",
      "===> Epoch[5](540/5770): Loss: 294.2779 || Time: 0.3338 sec.\n",
      "===> Epoch[5](560/5770): Loss: 223.5758 || Time: 0.3304 sec.\n",
      "===> Epoch[5](580/5770): Loss: 279.5627 || Time: 0.3362 sec.\n",
      "===> Epoch[5](600/5770): Loss: 54.1011 || Time: 0.3323 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 237.4800, Mean AP = 0.5683, Mean SSIM = 0.9535, Mean PSNR = 24.9054 || Time: 10.1011 sec.\n",
      "===> Epoch[5](620/5770): Loss: 146.4580 || Time: 0.3293 sec.\n",
      "===> Epoch[5](640/5770): Loss: 216.4725 || Time: 0.3341 sec.\n",
      "===> Epoch[5](660/5770): Loss: 132.4283 || Time: 0.3399 sec.\n",
      "===> Epoch[5](680/5770): Loss: 205.1921 || Time: 0.3328 sec.\n",
      "===> Epoch[5](700/5770): Loss: 287.3148 || Time: 0.3360 sec.\n",
      "===> Epoch[5](720/5770): Loss: 104.1875 || Time: 0.3314 sec.\n",
      "===> Epoch[5](740/5770): Loss: 392.9265 || Time: 0.3350 sec.\n",
      "===> Epoch[5](760/5770): Loss: 310.5774 || Time: 0.3384 sec.\n",
      "===> Epoch[5](780/5770): Loss: 451.4212 || Time: 0.3323 sec.\n",
      "===> Epoch[5](800/5770): Loss: 174.1005 || Time: 0.3387 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 246.0475, Mean AP = 0.5631, Mean SSIM = 0.9534, Mean PSNR = 24.9289 || Time: 10.1776 sec.\n",
      "===> Epoch[5](820/5770): Loss: 335.2135 || Time: 0.3370 sec.\n",
      "===> Epoch[5](840/5770): Loss: 323.7685 || Time: 0.3393 sec.\n",
      "===> Epoch[5](860/5770): Loss: 284.3319 || Time: 0.3430 sec.\n",
      "===> Epoch[5](880/5770): Loss: 184.2093 || Time: 0.3349 sec.\n",
      "===> Epoch[5](900/5770): Loss: 415.6910 || Time: 0.3297 sec.\n",
      "===> Epoch[5](920/5770): Loss: 184.6010 || Time: 0.3304 sec.\n",
      "===> Epoch[5](940/5770): Loss: 325.9485 || Time: 0.3322 sec.\n",
      "===> Epoch[5](960/5770): Loss: 101.6928 || Time: 0.3364 sec.\n",
      "===> Epoch[5](980/5770): Loss: 331.8297 || Time: 0.3304 sec.\n",
      "===> Epoch[5](1000/5770): Loss: 96.8011 || Time: 0.3306 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 238.7245, Mean AP = 0.5573, Mean SSIM = 0.9536, Mean PSNR = 24.9671 || Time: 10.0539 sec.\n",
      "Saving state, iter: 1000\n",
      "===> Epoch[5](1020/5770): Loss: 267.0880 || Time: 0.3344 sec.\n",
      "===> Epoch[5](1040/5770): Loss: 301.0097 || Time: 0.3343 sec.\n",
      "===> Epoch[5](1060/5770): Loss: 140.6533 || Time: 0.3313 sec.\n",
      "===> Epoch[5](1080/5770): Loss: 610.9110 || Time: 0.3441 sec.\n",
      "===> Epoch[5](1100/5770): Loss: 339.8378 || Time: 0.3326 sec.\n",
      "===> Epoch[5](1120/5770): Loss: 298.8719 || Time: 0.3365 sec.\n",
      "===> Epoch[5](1140/5770): Loss: 143.6712 || Time: 0.3461 sec.\n",
      "===> Epoch[5](1160/5770): Loss: 232.6603 || Time: 0.3360 sec.\n",
      "===> Epoch[5](1180/5770): Loss: 136.2664 || Time: 0.3358 sec.\n",
      "===> Epoch[5](1200/5770): Loss: 159.1822 || Time: 0.3397 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 248.7313, Mean AP = 0.5620, Mean SSIM = 0.9530, Mean PSNR = 24.9078 || Time: 10.0518 sec.\n",
      "===> Epoch[5](1220/5770): Loss: 332.6975 || Time: 0.3393 sec.\n",
      "===> Epoch[5](1240/5770): Loss: 320.0530 || Time: 0.3408 sec.\n",
      "===> Epoch[5](1260/5770): Loss: 577.1696 || Time: 0.3436 sec.\n",
      "===> Epoch[5](1280/5770): Loss: 290.7374 || Time: 0.3414 sec.\n",
      "===> Epoch[5](1300/5770): Loss: 128.8370 || Time: 0.3395 sec.\n",
      "===> Epoch[5](1320/5770): Loss: 439.9942 || Time: 0.3407 sec.\n",
      "===> Epoch[5](1340/5770): Loss: 186.1781 || Time: 0.3367 sec.\n",
      "===> Epoch[5](1360/5770): Loss: 159.5390 || Time: 0.3418 sec.\n",
      "===> Epoch[5](1380/5770): Loss: 157.9092 || Time: 0.3505 sec.\n",
      "===> Epoch[5](1400/5770): Loss: 247.4632 || Time: 0.3431 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 257.4691, Mean AP = 0.5160, Mean SSIM = 0.9534, Mean PSNR = 24.9648 || Time: 10.1575 sec.\n",
      "===> Epoch[5](1420/5770): Loss: 255.7284 || Time: 0.3298 sec.\n",
      "===> Epoch[5](1440/5770): Loss: 259.4807 || Time: 0.3449 sec.\n",
      "===> Epoch[5](1460/5770): Loss: 306.0416 || Time: 0.3336 sec.\n",
      "===> Epoch[5](1480/5770): Loss: 210.2400 || Time: 0.3329 sec.\n",
      "===> Epoch[5](1500/5770): Loss: 356.1514 || Time: 0.3328 sec.\n",
      "===> Epoch[5](1520/5770): Loss: 187.0272 || Time: 0.3420 sec.\n",
      "===> Epoch[5](1540/5770): Loss: 247.9119 || Time: 0.3466 sec.\n",
      "===> Epoch[5](1560/5770): Loss: 373.2053 || Time: 0.3341 sec.\n",
      "===> Epoch[5](1580/5770): Loss: 116.6169 || Time: 0.3294 sec.\n",
      "===> Epoch[5](1600/5770): Loss: 89.1669 || Time: 0.3338 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 266.7430, Mean AP = 0.5214, Mean SSIM = 0.9532, Mean PSNR = 24.9290 || Time: 10.0092 sec.\n",
      "===> Epoch[5](1620/5770): Loss: 370.5947 || Time: 0.3313 sec.\n",
      "===> Epoch[5](1640/5770): Loss: 377.3045 || Time: 0.3400 sec.\n",
      "===> Epoch[5](1660/5770): Loss: 122.8699 || Time: 0.3311 sec.\n",
      "===> Epoch[5](1680/5770): Loss: 152.2348 || Time: 0.3304 sec.\n",
      "===> Epoch[5](1700/5770): Loss: 339.5246 || Time: 0.3359 sec.\n",
      "===> Epoch[5](1720/5770): Loss: 166.5170 || Time: 0.3342 sec.\n",
      "===> Epoch[5](1740/5770): Loss: 563.8436 || Time: 0.3342 sec.\n",
      "===> Epoch[5](1760/5770): Loss: 278.5703 || Time: 0.3316 sec.\n",
      "===> Epoch[5](1780/5770): Loss: 300.5474 || Time: 0.3311 sec.\n",
      "===> Epoch[5](1800/5770): Loss: 97.9076 || Time: 0.3300 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 243.8058, Mean AP = 0.5705, Mean SSIM = 0.9536, Mean PSNR = 25.0147 || Time: 10.1159 sec.\n",
      "===> Epoch[5](1820/5770): Loss: 137.8584 || Time: 0.3340 sec.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> Epoch[5](1840/5770): Loss: 467.0559 || Time: 0.3391 sec.\n",
      "===> Epoch[5](1860/5770): Loss: 297.2745 || Time: 0.3307 sec.\n",
      "===> Epoch[5](1880/5770): Loss: 184.8913 || Time: 0.3476 sec.\n",
      "===> Epoch[5](1900/5770): Loss: 158.1605 || Time: 0.3392 sec.\n",
      "===> Epoch[5](1920/5770): Loss: 313.8077 || Time: 0.3283 sec.\n",
      "===> Epoch[5](1940/5770): Loss: 133.1774 || Time: 0.3337 sec.\n",
      "===> Epoch[5](1960/5770): Loss: 172.2478 || Time: 0.3306 sec.\n",
      "===> Epoch[5](1980/5770): Loss: 256.3331 || Time: 0.3319 sec.\n",
      "===> Epoch[5](2000/5770): Loss: 239.2841 || Time: 0.3484 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 245.3483, Mean AP = 0.5664, Mean SSIM = 0.9531, Mean PSNR = 24.9258 || Time: 10.0060 sec.\n",
      "Saving state, iter: 2000\n",
      "===> Epoch[5](2020/5770): Loss: 140.5065 || Time: 0.3310 sec.\n",
      "===> Epoch[5](2040/5770): Loss: 470.7446 || Time: 0.3294 sec.\n",
      "===> Epoch[5](2060/5770): Loss: 193.8199 || Time: 0.3301 sec.\n",
      "===> Epoch[5](2080/5770): Loss: 121.5954 || Time: 0.3339 sec.\n",
      "===> Epoch[5](2100/5770): Loss: 197.5574 || Time: 0.3328 sec.\n",
      "===> Epoch[5](2120/5770): Loss: 131.9471 || Time: 0.3303 sec.\n",
      "===> Epoch[5](2140/5770): Loss: 247.3845 || Time: 0.3305 sec.\n",
      "===> Epoch[5](2160/5770): Loss: 291.7446 || Time: 0.3326 sec.\n",
      "===> Epoch[5](2180/5770): Loss: 294.9373 || Time: 0.3314 sec.\n",
      "===> Epoch[5](2200/5770): Loss: 385.9731 || Time: 0.3352 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 251.6304, Mean AP = 0.5192, Mean SSIM = 0.9537, Mean PSNR = 25.0295 || Time: 10.0816 sec.\n",
      "===> Epoch[5](2220/5770): Loss: 120.0419 || Time: 0.3293 sec.\n",
      "===> Epoch[5](2240/5770): Loss: 206.6856 || Time: 0.3309 sec.\n",
      "===> Epoch[5](2260/5770): Loss: 136.6091 || Time: 0.3362 sec.\n",
      "===> Epoch[5](2280/5770): Loss: 465.4039 || Time: 0.3425 sec.\n",
      "===> Epoch[5](2300/5770): Loss: 314.7231 || Time: 0.3421 sec.\n",
      "===> Epoch[5](2320/5770): Loss: 120.5607 || Time: 0.3303 sec.\n",
      "===> Epoch[5](2340/5770): Loss: 533.2083 || Time: 0.3500 sec.\n",
      "===> Epoch[5](2360/5770): Loss: 138.8303 || Time: 0.3638 sec.\n",
      "===> Epoch[5](2380/5770): Loss: 352.9995 || Time: 0.3341 sec.\n",
      "===> Epoch[5](2400/5770): Loss: 167.8121 || Time: 0.3333 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 275.5851, Mean AP = 0.5187, Mean SSIM = 0.9539, Mean PSNR = 25.0415 || Time: 10.0809 sec.\n",
      "===> Epoch[5](2420/5770): Loss: 124.7604 || Time: 0.3318 sec.\n",
      "===> Epoch[5](2440/5770): Loss: 509.3298 || Time: 0.3290 sec.\n",
      "===> Epoch[5](2460/5770): Loss: 95.5603 || Time: 0.3344 sec.\n",
      "===> Epoch[5](2480/5770): Loss: 444.3004 || Time: 0.3339 sec.\n",
      "===> Epoch[5](2500/5770): Loss: 162.5029 || Time: 0.3310 sec.\n",
      "===> Epoch[5](2520/5770): Loss: 324.8883 || Time: 0.3472 sec.\n",
      "===> Epoch[5](2540/5770): Loss: 397.1331 || Time: 0.3325 sec.\n",
      "===> Epoch[5](2560/5770): Loss: 532.7236 || Time: 0.3319 sec.\n",
      "===> Epoch[5](2580/5770): Loss: 623.3558 || Time: 0.3348 sec.\n",
      "===> Epoch[5](2600/5770): Loss: 165.3704 || Time: 0.3324 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 247.2556, Mean AP = 0.5270, Mean SSIM = 0.9540, Mean PSNR = 25.0288 || Time: 10.1725 sec.\n",
      "===> Epoch[5](2620/5770): Loss: 69.8800 || Time: 0.3287 sec.\n",
      "===> Epoch[5](2640/5770): Loss: 207.1372 || Time: 0.3321 sec.\n",
      "===> Epoch[5](2660/5770): Loss: 135.8919 || Time: 0.3330 sec.\n",
      "===> Epoch[5](2680/5770): Loss: 387.1906 || Time: 0.3308 sec.\n",
      "===> Epoch[5](2700/5770): Loss: 238.6436 || Time: 0.3384 sec.\n",
      "===> Epoch[5](2720/5770): Loss: 336.0460 || Time: 0.3384 sec.\n",
      "===> Epoch[5](2740/5770): Loss: 281.9038 || Time: 0.3422 sec.\n",
      "===> Epoch[5](2760/5770): Loss: 104.2035 || Time: 0.3299 sec.\n",
      "===> Epoch[5](2780/5770): Loss: 473.2955 || Time: 0.3320 sec.\n",
      "===> Epoch[5](2800/5770): Loss: 160.5802 || Time: 0.3385 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 260.9810, Mean AP = 0.5201, Mean SSIM = 0.9531, Mean PSNR = 24.9876 || Time: 10.0538 sec.\n",
      "===> Epoch[5](2820/5770): Loss: 230.6628 || Time: 0.3293 sec.\n",
      "===> Epoch[5](2840/5770): Loss: 96.3180 || Time: 0.3302 sec.\n",
      "===> Epoch[5](2860/5770): Loss: 178.4262 || Time: 0.3352 sec.\n",
      "===> Epoch[5](2880/5770): Loss: 334.7543 || Time: 0.3327 sec.\n",
      "===> Epoch[5](2900/5770): Loss: 867.2817 || Time: 0.3339 sec.\n",
      "===> Epoch[5](2920/5770): Loss: 352.2132 || Time: 0.3326 sec.\n",
      "===> Epoch[5](2940/5770): Loss: 685.7813 || Time: 0.3394 sec.\n",
      "===> Epoch[5](2960/5770): Loss: 298.6192 || Time: 0.3369 sec.\n",
      "===> Epoch[5](2980/5770): Loss: 271.3550 || Time: 0.3430 sec.\n",
      "===> Epoch[5](3000/5770): Loss: 219.9295 || Time: 0.3370 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 263.6992, Mean AP = 0.5699, Mean SSIM = 0.9518, Mean PSNR = 24.8327 || Time: 10.0781 sec.\n",
      "Saving state, iter: 3000\n",
      "===> Epoch[5](3020/5770): Loss: 333.1350 || Time: 0.3309 sec.\n",
      "===> Epoch[5](3040/5770): Loss: 246.8719 || Time: 0.3410 sec.\n",
      "===> Epoch[5](3060/5770): Loss: 415.1759 || Time: 0.3376 sec.\n",
      "===> Epoch[5](3080/5770): Loss: 283.8239 || Time: 0.3370 sec.\n",
      "===> Epoch[5](3100/5770): Loss: 375.5348 || Time: 0.3347 sec.\n",
      "===> Epoch[5](3120/5770): Loss: 82.4407 || Time: 0.3317 sec.\n",
      "===> Epoch[5](3140/5770): Loss: 144.9567 || Time: 0.3364 sec.\n",
      "===> Epoch[5](3160/5770): Loss: 155.3895 || Time: 0.3372 sec.\n",
      "===> Epoch[5](3180/5770): Loss: 352.6119 || Time: 0.3321 sec.\n",
      "===> Epoch[5](3200/5770): Loss: 265.8740 || Time: 0.3346 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 250.5350, Mean AP = 0.5281, Mean SSIM = 0.9543, Mean PSNR = 25.0798 || Time: 9.9842 sec.\n",
      "===> Epoch[5](3220/5770): Loss: 153.0577 || Time: 0.3366 sec.\n",
      "===> Epoch[5](3240/5770): Loss: 251.0780 || Time: 0.3318 sec.\n",
      "===> Epoch[5](3260/5770): Loss: 577.7676 || Time: 0.3348 sec.\n",
      "===> Epoch[5](3280/5770): Loss: 130.8752 || Time: 0.3386 sec.\n",
      "===> Epoch[5](3300/5770): Loss: 219.1192 || Time: 0.3358 sec.\n",
      "===> Epoch[5](3320/5770): Loss: 276.8329 || Time: 0.3404 sec.\n",
      "===> Epoch[5](3340/5770): Loss: 260.1734 || Time: 0.3291 sec.\n",
      "===> Epoch[5](3360/5770): Loss: 203.7496 || Time: 0.3527 sec.\n",
      "===> Epoch[5](3380/5770): Loss: 302.4037 || Time: 0.3330 sec.\n",
      "===> Epoch[5](3400/5770): Loss: 175.8927 || Time: 0.3402 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 241.7825, Mean AP = 0.5217, Mean SSIM = 0.9545, Mean PSNR = 25.1026 || Time: 10.2297 sec.\n",
      "===> Epoch[5](3420/5770): Loss: 300.7299 || Time: 0.3295 sec.\n",
      "===> Epoch[5](3440/5770): Loss: 265.5834 || Time: 0.3330 sec.\n",
      "===> Epoch[5](3460/5770): Loss: 77.9481 || Time: 0.3329 sec.\n",
      "===> Epoch[5](3480/5770): Loss: 54.1472 || Time: 0.3310 sec.\n",
      "===> Epoch[5](3500/5770): Loss: 182.7495 || Time: 0.3294 sec.\n",
      "===> Epoch[5](3520/5770): Loss: 272.2662 || Time: 0.3327 sec.\n",
      "===> Epoch[5](3540/5770): Loss: 71.9106 || Time: 0.3360 sec.\n",
      "===> Epoch[5](3560/5770): Loss: 133.5371 || Time: 0.3372 sec.\n",
      "===> Epoch[5](3580/5770): Loss: 217.4996 || Time: 0.3397 sec.\n",
      "===> Epoch[5](3600/5770): Loss: 162.6070 || Time: 0.3350 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 234.7374, Mean AP = 0.5246, Mean SSIM = 0.9540, Mean PSNR = 24.9940 || Time: 10.1112 sec.\n",
      "===> Epoch[5](3620/5770): Loss: 304.0618 || Time: 0.3298 sec.\n",
      "===> Epoch[5](3640/5770): Loss: 176.0792 || Time: 0.3338 sec.\n",
      "===> Epoch[5](3660/5770): Loss: 155.5170 || Time: 0.3316 sec.\n",
      "===> Epoch[5](3680/5770): Loss: 384.9478 || Time: 0.3501 sec.\n",
      "===> Epoch[5](3700/5770): Loss: 149.1035 || Time: 0.3307 sec.\n",
      "===> Epoch[5](3720/5770): Loss: 586.8569 || Time: 0.3379 sec.\n",
      "===> Epoch[5](3740/5770): Loss: 278.0297 || Time: 0.3342 sec.\n",
      "===> Epoch[5](3760/5770): Loss: 130.3579 || Time: 0.3429 sec.\n",
      "===> Epoch[5](3780/5770): Loss: 239.3660 || Time: 0.3306 sec.\n",
      "===> Epoch[5](3800/5770): Loss: 55.8876 || Time: 0.3324 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 230.7691, Mean AP = 0.5233, Mean SSIM = 0.9522, Mean PSNR = 25.0430 || Time: 10.0876 sec.\n",
      "===> Epoch[5](3820/5770): Loss: 96.1208 || Time: 0.3391 sec.\n",
      "===> Epoch[5](3840/5770): Loss: 145.4456 || Time: 0.3446 sec.\n",
      "===> Epoch[5](3860/5770): Loss: 123.2803 || Time: 0.3422 sec.\n",
      "===> Epoch[5](3880/5770): Loss: 157.4422 || Time: 0.3349 sec.\n",
      "===> Epoch[5](3900/5770): Loss: 238.0130 || Time: 0.3317 sec.\n",
      "===> Epoch[5](3920/5770): Loss: 152.9370 || Time: 0.3360 sec.\n",
      "===> Epoch[5](3940/5770): Loss: 63.3777 || Time: 0.3357 sec.\n",
      "===> Epoch[5](3960/5770): Loss: 265.7615 || Time: 0.3383 sec.\n",
      "===> Epoch[5](3980/5770): Loss: 311.9163 || Time: 0.3350 sec.\n",
      "===> Epoch[5](4000/5770): Loss: 234.5653 || Time: 0.3311 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 234.1453, Mean AP = 0.5261, Mean SSIM = 0.9541, Mean PSNR = 25.0731 || Time: 10.0851 sec.\n",
      "Saving state, iter: 4000\n",
      "===> Epoch[5](4020/5770): Loss: 68.4448 || Time: 0.3392 sec.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> Epoch[5](4040/5770): Loss: 319.1960 || Time: 0.3360 sec.\n",
      "===> Epoch[5](4060/5770): Loss: 121.9254 || Time: 0.3402 sec.\n",
      "===> Epoch[5](4080/5770): Loss: 242.1771 || Time: 0.3425 sec.\n",
      "===> Epoch[5](4100/5770): Loss: 81.0648 || Time: 0.3376 sec.\n",
      "===> Epoch[5](4120/5770): Loss: 248.5783 || Time: 0.3393 sec.\n",
      "===> Epoch[5](4140/5770): Loss: 124.0389 || Time: 0.3414 sec.\n",
      "===> Epoch[5](4160/5770): Loss: 115.5263 || Time: 0.3387 sec.\n",
      "===> Epoch[5](4180/5770): Loss: 227.0082 || Time: 0.3557 sec.\n",
      "===> Epoch[5](4200/5770): Loss: 269.7976 || Time: 0.3411 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 223.3314, Mean AP = 0.5798, Mean SSIM = 0.9542, Mean PSNR = 25.0814 || Time: 10.0920 sec.\n",
      "===> Epoch[5](4220/5770): Loss: 296.2937 || Time: 0.3277 sec.\n",
      "===> Epoch[5](4240/5770): Loss: 163.1933 || Time: 0.3527 sec.\n",
      "===> Epoch[5](4260/5770): Loss: 230.8649 || Time: 0.3370 sec.\n",
      "===> Epoch[5](4280/5770): Loss: 71.4730 || Time: 0.3547 sec.\n",
      "===> Epoch[5](4300/5770): Loss: 217.2019 || Time: 0.3330 sec.\n",
      "===> Epoch[5](4320/5770): Loss: 369.4743 || Time: 0.3523 sec.\n",
      "===> Epoch[5](4340/5770): Loss: 514.3687 || Time: 0.3475 sec.\n",
      "===> Epoch[5](4360/5770): Loss: 149.6383 || Time: 0.3299 sec.\n",
      "===> Epoch[5](4380/5770): Loss: 93.7708 || Time: 0.3350 sec.\n",
      "===> Epoch[5](4400/5770): Loss: 568.8231 || Time: 0.3368 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 232.3468, Mean AP = 0.5786, Mean SSIM = 0.9543, Mean PSNR = 25.0824 || Time: 10.0282 sec.\n",
      "===> Epoch[5](4420/5770): Loss: 51.5164 || Time: 0.3264 sec.\n",
      "===> Epoch[5](4440/5770): Loss: 115.5520 || Time: 0.3350 sec.\n",
      "===> Epoch[5](4460/5770): Loss: 91.7089 || Time: 0.3457 sec.\n",
      "===> Epoch[5](4480/5770): Loss: 257.7944 || Time: 0.3295 sec.\n",
      "===> Epoch[5](4500/5770): Loss: 290.3614 || Time: 0.3348 sec.\n",
      "===> Epoch[5](4520/5770): Loss: 302.0934 || Time: 0.3438 sec.\n",
      "===> Epoch[5](4540/5770): Loss: 582.7156 || Time: 0.3355 sec.\n",
      "===> Epoch[5](4560/5770): Loss: 278.4608 || Time: 0.3381 sec.\n",
      "===> Epoch[5](4580/5770): Loss: 258.1785 || Time: 0.3392 sec.\n",
      "===> Epoch[5](4600/5770): Loss: 321.6592 || Time: 0.3335 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 257.0686, Mean AP = 0.5220, Mean SSIM = 0.9537, Mean PSNR = 24.9654 || Time: 10.0450 sec.\n",
      "===> Epoch[5](4620/5770): Loss: 295.3762 || Time: 0.3301 sec.\n",
      "===> Epoch[5](4640/5770): Loss: 359.2598 || Time: 0.3308 sec.\n",
      "===> Epoch[5](4660/5770): Loss: 49.8772 || Time: 0.3326 sec.\n",
      "===> Epoch[5](4680/5770): Loss: 124.8200 || Time: 0.3421 sec.\n",
      "===> Epoch[5](4700/5770): Loss: 263.5501 || Time: 0.3361 sec.\n",
      "===> Epoch[5](4720/5770): Loss: 157.5125 || Time: 0.3578 sec.\n",
      "===> Epoch[5](4740/5770): Loss: 120.9130 || Time: 0.3309 sec.\n",
      "===> Epoch[5](4760/5770): Loss: 234.0343 || Time: 0.3326 sec.\n",
      "===> Epoch[5](4780/5770): Loss: 125.9062 || Time: 0.3331 sec.\n",
      "===> Epoch[5](4800/5770): Loss: 282.2588 || Time: 0.3534 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 231.7294, Mean AP = 0.5576, Mean SSIM = 0.9458, Mean PSNR = 24.4575 || Time: 10.0427 sec.\n",
      "===> Epoch[5](4820/5770): Loss: 57.0775 || Time: 0.3289 sec.\n",
      "===> Epoch[5](4840/5770): Loss: 316.2763 || Time: 0.3411 sec.\n",
      "===> Epoch[5](4860/5770): Loss: 368.8003 || Time: 0.3463 sec.\n",
      "===> Epoch[5](4880/5770): Loss: 448.9614 || Time: 0.3505 sec.\n",
      "===> Epoch[5](4900/5770): Loss: 244.9929 || Time: 0.3413 sec.\n",
      "===> Epoch[5](4920/5770): Loss: 110.1235 || Time: 0.3413 sec.\n",
      "===> Epoch[5](4940/5770): Loss: 141.7757 || Time: 0.3433 sec.\n",
      "===> Epoch[5](4960/5770): Loss: 211.6955 || Time: 0.3462 sec.\n",
      "===> Epoch[5](4980/5770): Loss: 238.3336 || Time: 0.3393 sec.\n",
      "===> Epoch[5](5000/5770): Loss: 144.6341 || Time: 0.3561 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 253.3249, Mean AP = 0.5813, Mean SSIM = 0.9545, Mean PSNR = 25.0829 || Time: 10.0755 sec.\n",
      "Saving state, iter: 5000\n",
      "===> Epoch[5](5020/5770): Loss: 329.8036 || Time: 0.3283 sec.\n",
      "===> Epoch[5](5040/5770): Loss: 84.4684 || Time: 0.3300 sec.\n",
      "===> Epoch[5](5060/5770): Loss: 158.3639 || Time: 0.3313 sec.\n",
      "===> Epoch[5](5080/5770): Loss: 230.0101 || Time: 0.3327 sec.\n",
      "===> Epoch[5](5100/5770): Loss: 656.6794 || Time: 0.3329 sec.\n",
      "===> Epoch[5](5120/5770): Loss: 72.9664 || Time: 0.3321 sec.\n",
      "===> Epoch[5](5140/5770): Loss: 322.9836 || Time: 0.3327 sec.\n",
      "===> Epoch[5](5160/5770): Loss: 70.6662 || Time: 0.3481 sec.\n",
      "===> Epoch[5](5180/5770): Loss: 344.0606 || Time: 0.3606 sec.\n",
      "===> Epoch[5](5200/5770): Loss: 108.4467 || Time: 0.3428 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 248.1287, Mean AP = 0.5195, Mean SSIM = 0.9547, Mean PSNR = 25.1025 || Time: 10.2792 sec.\n",
      "===> Epoch[5](5220/5770): Loss: 102.5422 || Time: 0.3624 sec.\n",
      "===> Epoch[5](5240/5770): Loss: 211.0937 || Time: 0.3301 sec.\n",
      "===> Epoch[5](5260/5770): Loss: 247.5581 || Time: 0.3560 sec.\n",
      "===> Epoch[5](5280/5770): Loss: 249.2556 || Time: 0.3466 sec.\n",
      "===> Epoch[5](5300/5770): Loss: 138.9759 || Time: 0.3455 sec.\n",
      "===> Epoch[5](5320/5770): Loss: 328.3554 || Time: 0.3351 sec.\n",
      "===> Epoch[5](5340/5770): Loss: 154.5014 || Time: 0.3351 sec.\n",
      "===> Epoch[5](5360/5770): Loss: 48.8822 || Time: 0.3346 sec.\n",
      "===> Epoch[5](5380/5770): Loss: 182.6853 || Time: 0.3348 sec.\n",
      "===> Epoch[5](5400/5770): Loss: 120.4162 || Time: 0.3348 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 251.5738, Mean AP = 0.5778, Mean SSIM = 0.9531, Mean PSNR = 25.0384 || Time: 9.9440 sec.\n",
      "===> Epoch[5](5420/5770): Loss: 206.5196 || Time: 0.3341 sec.\n",
      "===> Epoch[5](5440/5770): Loss: 330.3116 || Time: 0.3468 sec.\n",
      "===> Epoch[5](5460/5770): Loss: 42.5416 || Time: 0.3338 sec.\n",
      "===> Epoch[5](5480/5770): Loss: 204.2869 || Time: 0.3332 sec.\n",
      "===> Epoch[5](5500/5770): Loss: 463.3807 || Time: 0.3450 sec.\n",
      "===> Epoch[5](5520/5770): Loss: 253.0889 || Time: 0.3358 sec.\n",
      "===> Epoch[5](5540/5770): Loss: 399.1603 || Time: 0.3354 sec.\n",
      "===> Epoch[5](5560/5770): Loss: 152.0401 || Time: 0.3333 sec.\n",
      "===> Epoch[5](5580/5770): Loss: 137.6592 || Time: 0.3382 sec.\n",
      "===> Epoch[5](5600/5770): Loss: 357.1333 || Time: 0.3314 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 230.9581, Mean AP = 0.5782, Mean SSIM = 0.9548, Mean PSNR = 25.1234 || Time: 10.1653 sec.\n",
      "===> Epoch 5 Complete: Avg. Loss: 122.6098 || Time: 2175.9552 sec.\n",
      "===> Epoch[6](20/5770): Loss: 146.2416 || Time: 0.3372 sec.\n",
      "===> Epoch[6](40/5770): Loss: 101.0906 || Time: 0.3315 sec.\n",
      "===> Epoch[6](60/5770): Loss: 261.8521 || Time: 0.3335 sec.\n",
      "===> Epoch[6](80/5770): Loss: 129.3836 || Time: 0.3374 sec.\n",
      "===> Epoch[6](100/5770): Loss: 354.9881 || Time: 0.3403 sec.\n",
      "===> Epoch[6](120/5770): Loss: 158.4427 || Time: 0.3339 sec.\n",
      "===> Epoch[6](140/5770): Loss: 395.8645 || Time: 0.3315 sec.\n",
      "===> Epoch[6](160/5770): Loss: 269.2263 || Time: 0.3318 sec.\n",
      "===> Epoch[6](180/5770): Loss: 368.4280 || Time: 0.3348 sec.\n",
      "===> Epoch[6](200/5770): Loss: 241.7708 || Time: 0.3324 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 223.8637, Mean AP = 0.5282, Mean SSIM = 0.9546, Mean PSNR = 25.1263 || Time: 10.1021 sec.\n",
      "===> Epoch[6](220/5770): Loss: 96.4588 || Time: 0.3296 sec.\n",
      "===> Epoch[6](240/5770): Loss: 249.7302 || Time: 0.3349 sec.\n",
      "===> Epoch[6](260/5770): Loss: 251.6295 || Time: 0.3292 sec.\n",
      "===> Epoch[6](280/5770): Loss: 141.6484 || Time: 0.3347 sec.\n",
      "===> Epoch[6](300/5770): Loss: 157.8667 || Time: 0.3558 sec.\n",
      "===> Epoch[6](320/5770): Loss: 165.0045 || Time: 0.3331 sec.\n",
      "===> Epoch[6](340/5770): Loss: 180.0981 || Time: 0.3374 sec.\n",
      "===> Epoch[6](360/5770): Loss: 225.2295 || Time: 0.3316 sec.\n",
      "===> Epoch[6](380/5770): Loss: 191.1623 || Time: 0.3397 sec.\n",
      "===> Epoch[6](400/5770): Loss: 308.9860 || Time: 0.3364 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 223.7315, Mean AP = 0.5727, Mean SSIM = 0.9549, Mean PSNR = 25.1627 || Time: 10.1069 sec.\n",
      "===> Epoch[6](420/5770): Loss: 99.6720 || Time: 0.3301 sec.\n",
      "===> Epoch[6](440/5770): Loss: 448.2387 || Time: 0.3345 sec.\n",
      "===> Epoch[6](460/5770): Loss: 185.8150 || Time: 0.3348 sec.\n",
      "===> Epoch[6](480/5770): Loss: 62.9506 || Time: 0.3322 sec.\n",
      "===> Epoch[6](500/5770): Loss: 82.0765 || Time: 0.3317 sec.\n",
      "===> Epoch[6](520/5770): Loss: 231.6124 || Time: 0.3311 sec.\n",
      "===> Epoch[6](540/5770): Loss: 287.2990 || Time: 0.3370 sec.\n",
      "===> Epoch[6](560/5770): Loss: 221.9527 || Time: 0.3344 sec.\n",
      "===> Epoch[6](580/5770): Loss: 266.2375 || Time: 0.3334 sec.\n",
      "===> Epoch[6](600/5770): Loss: 50.9779 || Time: 0.3386 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 227.2352, Mean AP = 0.5739, Mean SSIM = 0.9549, Mean PSNR = 25.1588 || Time: 10.1367 sec.\n",
      "===> Epoch[6](620/5770): Loss: 134.3700 || Time: 0.3303 sec.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> Epoch[6](640/5770): Loss: 211.4224 || Time: 0.3364 sec.\n",
      "===> Epoch[6](660/5770): Loss: 124.7222 || Time: 0.3360 sec.\n",
      "===> Epoch[6](680/5770): Loss: 199.1050 || Time: 0.3338 sec.\n",
      "===> Epoch[6](700/5770): Loss: 276.8609 || Time: 0.3340 sec.\n",
      "===> Epoch[6](720/5770): Loss: 100.4866 || Time: 0.3345 sec.\n",
      "===> Epoch[6](740/5770): Loss: 383.3215 || Time: 0.3342 sec.\n",
      "===> Epoch[6](760/5770): Loss: 307.7273 || Time: 0.3321 sec.\n",
      "===> Epoch[6](780/5770): Loss: 442.1942 || Time: 0.3581 sec.\n",
      "===> Epoch[6](800/5770): Loss: 166.8047 || Time: 0.3377 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 236.3532, Mean AP = 0.5224, Mean SSIM = 0.9548, Mean PSNR = 25.1653 || Time: 10.0041 sec.\n",
      "===> Epoch[6](820/5770): Loss: 320.1958 || Time: 0.3297 sec.\n",
      "===> Epoch[6](840/5770): Loss: 310.0570 || Time: 0.3309 sec.\n",
      "===> Epoch[6](860/5770): Loss: 271.2990 || Time: 0.3362 sec.\n",
      "===> Epoch[6](880/5770): Loss: 169.8382 || Time: 0.3346 sec.\n",
      "===> Epoch[6](900/5770): Loss: 409.4760 || Time: 0.3347 sec.\n",
      "===> Epoch[6](920/5770): Loss: 175.2109 || Time: 0.3365 sec.\n",
      "===> Epoch[6](940/5770): Loss: 318.2750 || Time: 0.3320 sec.\n",
      "===> Epoch[6](960/5770): Loss: 94.9128 || Time: 0.3368 sec.\n",
      "===> Epoch[6](980/5770): Loss: 307.7464 || Time: 0.3305 sec.\n",
      "===> Epoch[6](1000/5770): Loss: 92.2890 || Time: 0.3336 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 229.5426, Mean AP = 0.5739, Mean SSIM = 0.9550, Mean PSNR = 25.1658 || Time: 10.2089 sec.\n",
      "Saving state, iter: 1000\n",
      "===> Epoch[6](1020/5770): Loss: 261.9607 || Time: 0.3318 sec.\n",
      "===> Epoch[6](1040/5770): Loss: 280.9930 || Time: 0.3344 sec.\n",
      "===> Epoch[6](1060/5770): Loss: 133.9024 || Time: 0.3421 sec.\n",
      "===> Epoch[6](1080/5770): Loss: 606.3370 || Time: 0.3335 sec.\n",
      "===> Epoch[6](1100/5770): Loss: 332.0806 || Time: 0.3476 sec.\n",
      "===> Epoch[6](1120/5770): Loss: 293.1000 || Time: 0.3344 sec.\n",
      "===> Epoch[6](1140/5770): Loss: 129.0314 || Time: 0.3577 sec.\n",
      "===> Epoch[6](1160/5770): Loss: 231.4115 || Time: 0.3388 sec.\n",
      "===> Epoch[6](1180/5770): Loss: 129.2457 || Time: 0.3366 sec.\n",
      "===> Epoch[6](1200/5770): Loss: 153.7354 || Time: 0.3394 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 239.8183, Mean AP = 0.5728, Mean SSIM = 0.9547, Mean PSNR = 25.0094 || Time: 10.0210 sec.\n",
      "===> Epoch[6](1220/5770): Loss: 325.5059 || Time: 0.3358 sec.\n",
      "===> Epoch[6](1240/5770): Loss: 311.5630 || Time: 0.3316 sec.\n",
      "===> Epoch[6](1260/5770): Loss: 568.3634 || Time: 0.3356 sec.\n",
      "===> Epoch[6](1280/5770): Loss: 278.0498 || Time: 0.3333 sec.\n",
      "===> Epoch[6](1300/5770): Loss: 122.0728 || Time: 0.3594 sec.\n",
      "===> Epoch[6](1320/5770): Loss: 430.8486 || Time: 0.3330 sec.\n",
      "===> Epoch[6](1340/5770): Loss: 175.1836 || Time: 0.3336 sec.\n",
      "===> Epoch[6](1360/5770): Loss: 137.7570 || Time: 0.3321 sec.\n",
      "===> Epoch[6](1380/5770): Loss: 151.7331 || Time: 0.3385 sec.\n",
      "===> Epoch[6](1400/5770): Loss: 239.0202 || Time: 0.3346 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 247.9711, Mean AP = 0.5768, Mean SSIM = 0.9551, Mean PSNR = 25.1904 || Time: 10.0938 sec.\n",
      "===> Epoch[6](1420/5770): Loss: 249.4623 || Time: 0.3351 sec.\n",
      "===> Epoch[6](1440/5770): Loss: 247.0549 || Time: 0.3279 sec.\n",
      "===> Epoch[6](1460/5770): Loss: 278.3781 || Time: 0.3327 sec.\n",
      "===> Epoch[6](1480/5770): Loss: 195.5462 || Time: 0.3603 sec.\n",
      "===> Epoch[6](1500/5770): Loss: 295.6258 || Time: 0.3350 sec.\n",
      "===> Epoch[6](1520/5770): Loss: 175.2546 || Time: 0.3324 sec.\n",
      "===> Epoch[6](1540/5770): Loss: 233.3622 || Time: 0.3319 sec.\n",
      "===> Epoch[6](1560/5770): Loss: 327.9817 || Time: 0.3357 sec.\n",
      "===> Epoch[6](1580/5770): Loss: 101.1970 || Time: 0.3324 sec.\n",
      "===> Epoch[6](1600/5770): Loss: 79.4331 || Time: 0.3384 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 243.3272, Mean AP = 0.5188, Mean SSIM = 0.9550, Mean PSNR = 25.1382 || Time: 9.9902 sec.\n",
      "===> Epoch[6](1620/5770): Loss: 359.5786 || Time: 0.3293 sec.\n",
      "===> Epoch[6](1640/5770): Loss: 368.7737 || Time: 0.3337 sec.\n",
      "===> Epoch[6](1660/5770): Loss: 121.3723 || Time: 0.3371 sec.\n",
      "===> Epoch[6](1680/5770): Loss: 153.6000 || Time: 0.3328 sec.\n",
      "===> Epoch[6](1700/5770): Loss: 332.3146 || Time: 0.3315 sec.\n",
      "===> Epoch[6](1720/5770): Loss: 158.2092 || Time: 0.3326 sec.\n",
      "===> Epoch[6](1740/5770): Loss: 552.7681 || Time: 0.3366 sec.\n",
      "===> Epoch[6](1760/5770): Loss: 272.6093 || Time: 0.3349 sec.\n",
      "===> Epoch[6](1780/5770): Loss: 336.2188 || Time: 0.3348 sec.\n",
      "===> Epoch[6](1800/5770): Loss: 103.2190 || Time: 0.3317 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 242.2448, Mean AP = 0.5221, Mean SSIM = 0.9549, Mean PSNR = 24.8432 || Time: 10.0719 sec.\n",
      "===> Epoch[6](1820/5770): Loss: 142.1687 || Time: 0.3308 sec.\n",
      "===> Epoch[6](1840/5770): Loss: 463.6978 || Time: 0.3294 sec.\n",
      "===> Epoch[6](1860/5770): Loss: 292.7597 || Time: 0.3365 sec.\n",
      "===> Epoch[6](1880/5770): Loss: 180.4039 || Time: 0.3454 sec.\n",
      "===> Epoch[6](1900/5770): Loss: 157.3196 || Time: 0.3319 sec.\n",
      "===> Epoch[6](1920/5770): Loss: 310.6924 || Time: 0.3399 sec.\n",
      "===> Epoch[6](1940/5770): Loss: 127.4243 || Time: 0.3347 sec.\n",
      "===> Epoch[6](1960/5770): Loss: 166.4309 || Time: 0.3341 sec.\n",
      "===> Epoch[6](1980/5770): Loss: 250.5195 || Time: 0.3333 sec.\n",
      "===> Epoch[6](2000/5770): Loss: 232.6524 || Time: 0.3311 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 238.9029, Mean AP = 0.5709, Mean SSIM = 0.9496, Mean PSNR = 25.0505 || Time: 10.0069 sec.\n",
      "Saving state, iter: 2000\n",
      "===> Epoch[6](2020/5770): Loss: 137.8965 || Time: 0.3287 sec.\n",
      "===> Epoch[6](2040/5770): Loss: 454.9673 || Time: 0.3318 sec.\n",
      "===> Epoch[6](2060/5770): Loss: 179.3340 || Time: 0.3318 sec.\n",
      "===> Epoch[6](2080/5770): Loss: 116.9558 || Time: 0.3387 sec.\n",
      "===> Epoch[6](2100/5770): Loss: 192.6446 || Time: 0.3314 sec.\n",
      "===> Epoch[6](2120/5770): Loss: 126.6303 || Time: 0.3345 sec.\n",
      "===> Epoch[6](2140/5770): Loss: 239.9621 || Time: 0.3382 sec.\n",
      "===> Epoch[6](2160/5770): Loss: 281.0538 || Time: 0.3327 sec.\n",
      "===> Epoch[6](2180/5770): Loss: 277.6984 || Time: 0.3361 sec.\n",
      "===> Epoch[6](2200/5770): Loss: 376.7346 || Time: 0.3406 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 241.7499, Mean AP = 0.5185, Mean SSIM = 0.9551, Mean PSNR = 25.2060 || Time: 10.0668 sec.\n",
      "===> Epoch[6](2220/5770): Loss: 114.0019 || Time: 0.3290 sec.\n",
      "===> Epoch[6](2240/5770): Loss: 195.9570 || Time: 0.3318 sec.\n",
      "===> Epoch[6](2260/5770): Loss: 130.5506 || Time: 0.3463 sec.\n",
      "===> Epoch[6](2280/5770): Loss: 459.6695 || Time: 0.3308 sec.\n",
      "===> Epoch[6](2300/5770): Loss: 310.5321 || Time: 0.3358 sec.\n",
      "===> Epoch[6](2320/5770): Loss: 114.9526 || Time: 0.3347 sec.\n",
      "===> Epoch[6](2340/5770): Loss: 522.9937 || Time: 0.3328 sec.\n",
      "===> Epoch[6](2360/5770): Loss: 138.5849 || Time: 0.3398 sec.\n",
      "===> Epoch[6](2380/5770): Loss: 345.7990 || Time: 0.3349 sec.\n",
      "===> Epoch[6](2400/5770): Loss: 159.9167 || Time: 0.3310 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 267.2577, Mean AP = 0.5257, Mean SSIM = 0.9552, Mean PSNR = 25.2027 || Time: 10.0441 sec.\n",
      "===> Epoch[6](2420/5770): Loss: 121.8305 || Time: 0.3295 sec.\n",
      "===> Epoch[6](2440/5770): Loss: 499.1324 || Time: 0.3338 sec.\n",
      "===> Epoch[6](2460/5770): Loss: 90.5412 || Time: 0.3546 sec.\n",
      "===> Epoch[6](2480/5770): Loss: 440.4821 || Time: 0.3330 sec.\n",
      "===> Epoch[6](2500/5770): Loss: 159.4355 || Time: 0.3339 sec.\n",
      "===> Epoch[6](2520/5770): Loss: 313.8366 || Time: 0.3326 sec.\n",
      "===> Epoch[6](2540/5770): Loss: 387.5351 || Time: 0.3347 sec.\n",
      "===> Epoch[6](2560/5770): Loss: 511.4139 || Time: 0.3330 sec.\n",
      "===> Epoch[6](2580/5770): Loss: 608.9019 || Time: 0.3332 sec.\n",
      "===> Epoch[6](2600/5770): Loss: 158.3881 || Time: 0.3368 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 239.6195, Mean AP = 0.5660, Mean SSIM = 0.9551, Mean PSNR = 25.1825 || Time: 10.1205 sec.\n",
      "===> Epoch[6](2620/5770): Loss: 66.4184 || Time: 0.3304 sec.\n",
      "===> Epoch[6](2640/5770): Loss: 199.4246 || Time: 0.3323 sec.\n",
      "===> Epoch[6](2660/5770): Loss: 124.6787 || Time: 0.3450 sec.\n",
      "===> Epoch[6](2680/5770): Loss: 370.3214 || Time: 0.3340 sec.\n",
      "===> Epoch[6](2700/5770): Loss: 226.9132 || Time: 0.3475 sec.\n",
      "===> Epoch[6](2720/5770): Loss: 325.9331 || Time: 0.3429 sec.\n",
      "===> Epoch[6](2740/5770): Loss: 277.2068 || Time: 0.3529 sec.\n",
      "===> Epoch[6](2760/5770): Loss: 100.8052 || Time: 0.3485 sec.\n",
      "===> Epoch[6](2780/5770): Loss: 461.4109 || Time: 0.3428 sec.\n",
      "===> Epoch[6](2800/5770): Loss: 150.4209 || Time: 0.3557 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 252.7803, Mean AP = 0.5216, Mean SSIM = 0.9550, Mean PSNR = 25.1632 || Time: 10.2096 sec.\n",
      "===> Epoch[6](2820/5770): Loss: 225.3713 || Time: 0.3289 sec.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> Epoch[6](2840/5770): Loss: 89.2064 || Time: 0.3386 sec.\n",
      "===> Epoch[6](2860/5770): Loss: 160.4481 || Time: 0.3298 sec.\n",
      "===> Epoch[6](2880/5770): Loss: 308.3008 || Time: 0.3541 sec.\n",
      "===> Epoch[6](2900/5770): Loss: 845.9653 || Time: 0.3330 sec.\n",
      "===> Epoch[6](2920/5770): Loss: 338.6906 || Time: 0.3324 sec.\n",
      "===> Epoch[6](2940/5770): Loss: 618.3397 || Time: 0.3611 sec.\n",
      "===> Epoch[6](2960/5770): Loss: 346.8916 || Time: 0.3454 sec.\n",
      "===> Epoch[6](2980/5770): Loss: 283.5188 || Time: 0.3634 sec.\n",
      "===> Epoch[6](3000/5770): Loss: 224.0294 || Time: 0.3321 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 261.3377, Mean AP = 0.5710, Mean SSIM = 0.9528, Mean PSNR = 25.0239 || Time: 10.0477 sec.\n",
      "Saving state, iter: 3000\n",
      "===> Epoch[6](3020/5770): Loss: 328.8339 || Time: 0.3296 sec.\n",
      "===> Epoch[6](3040/5770): Loss: 222.3371 || Time: 0.3327 sec.\n",
      "===> Epoch[6](3060/5770): Loss: 402.8649 || Time: 0.3525 sec.\n",
      "===> Epoch[6](3080/5770): Loss: 273.3484 || Time: 0.3346 sec.\n",
      "===> Epoch[6](3100/5770): Loss: 351.9599 || Time: 0.3334 sec.\n",
      "===> Epoch[6](3120/5770): Loss: 80.6048 || Time: 0.3374 sec.\n",
      "===> Epoch[6](3140/5770): Loss: 139.6977 || Time: 0.3382 sec.\n",
      "===> Epoch[6](3160/5770): Loss: 152.4511 || Time: 0.3346 sec.\n",
      "===> Epoch[6](3180/5770): Loss: 344.5332 || Time: 0.3339 sec.\n",
      "===> Epoch[6](3200/5770): Loss: 261.7191 || Time: 0.3331 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 241.1862, Mean AP = 0.5723, Mean SSIM = 0.9547, Mean PSNR = 25.1524 || Time: 10.0485 sec.\n",
      "===> Epoch[6](3220/5770): Loss: 145.3383 || Time: 0.3292 sec.\n",
      "===> Epoch[6](3240/5770): Loss: 247.7136 || Time: 0.3294 sec.\n",
      "===> Epoch[6](3260/5770): Loss: 569.3613 || Time: 0.3299 sec.\n",
      "===> Epoch[6](3280/5770): Loss: 128.2776 || Time: 0.3412 sec.\n",
      "===> Epoch[6](3300/5770): Loss: 213.5091 || Time: 0.3334 sec.\n",
      "===> Epoch[6](3320/5770): Loss: 264.1358 || Time: 0.3292 sec.\n",
      "===> Epoch[6](3340/5770): Loss: 252.3492 || Time: 0.3330 sec.\n",
      "===> Epoch[6](3360/5770): Loss: 197.7375 || Time: 0.3444 sec.\n",
      "===> Epoch[6](3380/5770): Loss: 296.2495 || Time: 0.3358 sec.\n",
      "===> Epoch[6](3400/5770): Loss: 173.0966 || Time: 0.3520 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 234.7009, Mean AP = 0.5753, Mean SSIM = 0.9554, Mean PSNR = 25.2287 || Time: 10.0284 sec.\n",
      "===> Epoch[6](3420/5770): Loss: 298.8245 || Time: 0.3295 sec.\n",
      "===> Epoch[6](3440/5770): Loss: 256.8617 || Time: 0.3307 sec.\n",
      "===> Epoch[6](3460/5770): Loss: 72.5974 || Time: 0.3324 sec.\n",
      "===> Epoch[6](3480/5770): Loss: 52.1628 || Time: 0.3374 sec.\n",
      "===> Epoch[6](3500/5770): Loss: 173.5519 || Time: 0.3392 sec.\n",
      "===> Epoch[6](3520/5770): Loss: 264.8915 || Time: 0.3327 sec.\n",
      "===> Epoch[6](3540/5770): Loss: 64.6156 || Time: 0.3348 sec.\n",
      "===> Epoch[6](3560/5770): Loss: 129.6752 || Time: 0.3316 sec.\n",
      "===> Epoch[6](3580/5770): Loss: 207.0542 || Time: 0.3333 sec.\n",
      "===> Epoch[6](3600/5770): Loss: 151.1087 || Time: 0.3309 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 226.4895, Mean AP = 0.5740, Mean SSIM = 0.9551, Mean PSNR = 25.1799 || Time: 10.1130 sec.\n",
      "===> Epoch[6](3620/5770): Loss: 286.6671 || Time: 0.3291 sec.\n",
      "===> Epoch[6](3640/5770): Loss: 171.1399 || Time: 0.3377 sec.\n",
      "===> Epoch[6](3660/5770): Loss: 150.4285 || Time: 0.3368 sec.\n",
      "===> Epoch[6](3680/5770): Loss: 379.6052 || Time: 0.3427 sec.\n",
      "===> Epoch[6](3700/5770): Loss: 142.3636 || Time: 0.3311 sec.\n",
      "===> Epoch[6](3720/5770): Loss: 576.0447 || Time: 0.3333 sec.\n",
      "===> Epoch[6](3740/5770): Loss: 271.4443 || Time: 0.3491 sec.\n",
      "===> Epoch[6](3760/5770): Loss: 123.5070 || Time: 0.3290 sec.\n",
      "===> Epoch[6](3780/5770): Loss: 233.3786 || Time: 0.3348 sec.\n",
      "===> Epoch[6](3800/5770): Loss: 54.1326 || Time: 0.3665 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 224.6894, Mean AP = 0.5735, Mean SSIM = 0.9547, Mean PSNR = 25.2114 || Time: 10.1129 sec.\n",
      "===> Epoch[6](3820/5770): Loss: 92.1795 || Time: 0.3307 sec.\n",
      "===> Epoch[6](3840/5770): Loss: 139.9440 || Time: 0.3358 sec.\n",
      "===> Epoch[6](3860/5770): Loss: 119.6273 || Time: 0.3344 sec.\n",
      "===> Epoch[6](3880/5770): Loss: 148.1808 || Time: 0.3342 sec.\n",
      "===> Epoch[6](3900/5770): Loss: 236.7129 || Time: 0.3375 sec.\n",
      "===> Epoch[6](3920/5770): Loss: 144.9382 || Time: 0.3306 sec.\n",
      "===> Epoch[6](3940/5770): Loss: 62.0140 || Time: 0.3350 sec.\n",
      "===> Epoch[6](3960/5770): Loss: 263.4981 || Time: 0.3319 sec.\n",
      "===> Epoch[6](3980/5770): Loss: 302.9312 || Time: 0.3347 sec.\n",
      "===> Epoch[6](4000/5770): Loss: 228.9294 || Time: 0.3401 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 228.3689, Mean AP = 0.5721, Mean SSIM = 0.9550, Mean PSNR = 25.1989 || Time: 10.1742 sec.\n",
      "Saving state, iter: 4000\n",
      "===> Epoch[6](4020/5770): Loss: 64.4474 || Time: 0.3314 sec.\n",
      "===> Epoch[6](4040/5770): Loss: 310.2825 || Time: 0.3328 sec.\n",
      "===> Epoch[6](4060/5770): Loss: 118.0466 || Time: 0.3492 sec.\n",
      "===> Epoch[6](4080/5770): Loss: 237.2398 || Time: 0.3338 sec.\n",
      "===> Epoch[6](4100/5770): Loss: 78.6173 || Time: 0.3317 sec.\n",
      "===> Epoch[6](4120/5770): Loss: 244.9031 || Time: 0.3351 sec.\n",
      "===> Epoch[6](4140/5770): Loss: 121.0421 || Time: 0.3338 sec.\n",
      "===> Epoch[6](4160/5770): Loss: 111.0871 || Time: 0.3307 sec.\n",
      "===> Epoch[6](4180/5770): Loss: 224.1075 || Time: 0.3290 sec.\n",
      "===> Epoch[6](4200/5770): Loss: 263.5694 || Time: 0.3297 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 217.9724, Mean AP = 0.5297, Mean SSIM = 0.9555, Mean PSNR = 25.2236 || Time: 9.9898 sec.\n",
      "===> Epoch[6](4220/5770): Loss: 291.7278 || Time: 0.3292 sec.\n",
      "===> Epoch[6](4240/5770): Loss: 161.0744 || Time: 0.3539 sec.\n",
      "===> Epoch[6](4260/5770): Loss: 223.6170 || Time: 0.3443 sec.\n",
      "===> Epoch[6](4280/5770): Loss: 69.3941 || Time: 0.3331 sec.\n",
      "===> Epoch[6](4300/5770): Loss: 215.5030 || Time: 0.3349 sec.\n",
      "===> Epoch[6](4320/5770): Loss: 358.3880 || Time: 0.3360 sec.\n",
      "===> Epoch[6](4340/5770): Loss: 490.8769 || Time: 0.3321 sec.\n",
      "===> Epoch[6](4360/5770): Loss: 140.4028 || Time: 0.3339 sec.\n",
      "===> Epoch[6](4380/5770): Loss: 81.3124 || Time: 0.3360 sec.\n",
      "===> Epoch[6](4400/5770): Loss: 562.2130 || Time: 0.3507 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 223.9326, Mean AP = 0.5232, Mean SSIM = 0.9554, Mean PSNR = 25.2309 || Time: 10.0293 sec.\n",
      "===> Epoch[6](4420/5770): Loss: 38.5743 || Time: 0.3298 sec.\n",
      "===> Epoch[6](4440/5770): Loss: 113.7224 || Time: 0.3354 sec.\n",
      "===> Epoch[6](4460/5770): Loss: 78.6368 || Time: 0.3314 sec.\n",
      "===> Epoch[6](4480/5770): Loss: 223.3584 || Time: 0.3304 sec.\n",
      "===> Epoch[6](4500/5770): Loss: 240.7103 || Time: 0.3372 sec.\n",
      "===> Epoch[6](4520/5770): Loss: 285.9772 || Time: 0.3307 sec.\n",
      "===> Epoch[6](4540/5770): Loss: 575.5009 || Time: 0.3327 sec.\n",
      "===> Epoch[6](4560/5770): Loss: 276.2943 || Time: 0.3362 sec.\n",
      "===> Epoch[6](4580/5770): Loss: 251.1826 || Time: 0.3378 sec.\n",
      "===> Epoch[6](4600/5770): Loss: 308.2011 || Time: 0.3349 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 241.7381, Mean AP = 0.5727, Mean SSIM = 0.9552, Mean PSNR = 25.1971 || Time: 10.0091 sec.\n",
      "===> Epoch[6](4620/5770): Loss: 285.3318 || Time: 0.3318 sec.\n",
      "===> Epoch[6](4640/5770): Loss: 352.5599 || Time: 0.3341 sec.\n",
      "===> Epoch[6](4660/5770): Loss: 44.2235 || Time: 0.3285 sec.\n",
      "===> Epoch[6](4680/5770): Loss: 122.8652 || Time: 0.3404 sec.\n",
      "===> Epoch[6](4700/5770): Loss: 259.6086 || Time: 0.3343 sec.\n",
      "===> Epoch[6](4720/5770): Loss: 152.1966 || Time: 0.3378 sec.\n",
      "===> Epoch[6](4740/5770): Loss: 117.8766 || Time: 0.3322 sec.\n",
      "===> Epoch[6](4760/5770): Loss: 228.3477 || Time: 0.3435 sec.\n",
      "===> Epoch[6](4780/5770): Loss: 124.3348 || Time: 0.3352 sec.\n",
      "===> Epoch[6](4800/5770): Loss: 270.5192 || Time: 0.3319 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 225.0427, Mean AP = 0.5756, Mean SSIM = 0.9543, Mean PSNR = 24.9801 || Time: 10.0008 sec.\n",
      "===> Epoch[6](4820/5770): Loss: 51.5320 || Time: 0.3300 sec.\n",
      "===> Epoch[6](4840/5770): Loss: 304.3272 || Time: 0.3337 sec.\n",
      "===> Epoch[6](4860/5770): Loss: 359.7794 || Time: 0.3366 sec.\n",
      "===> Epoch[6](4880/5770): Loss: 446.7796 || Time: 0.3297 sec.\n",
      "===> Epoch[6](4900/5770): Loss: 240.4067 || Time: 0.3504 sec.\n",
      "===> Epoch[6](4920/5770): Loss: 114.2459 || Time: 0.3460 sec.\n",
      "===> Epoch[6](4940/5770): Loss: 142.8343 || Time: 0.3327 sec.\n",
      "===> Epoch[6](4960/5770): Loss: 206.0474 || Time: 0.3440 sec.\n",
      "===> Epoch[6](4980/5770): Loss: 232.5800 || Time: 0.3306 sec.\n",
      "===> Epoch[6](5000/5770): Loss: 143.4100 || Time: 0.3329 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 245.5939, Mean AP = 0.5753, Mean SSIM = 0.9550, Mean PSNR = 25.1787 || Time: 10.0937 sec.\n",
      "Saving state, iter: 5000\n",
      "===> Epoch[6](5020/5770): Loss: 321.3996 || Time: 0.3398 sec.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> Epoch[6](5040/5770): Loss: 81.7408 || Time: 0.3347 sec.\n",
      "===> Epoch[6](5060/5770): Loss: 148.9663 || Time: 0.3432 sec.\n",
      "===> Epoch[6](5080/5770): Loss: 228.3431 || Time: 0.3343 sec.\n",
      "===> Epoch[6](5100/5770): Loss: 667.7366 || Time: 0.3331 sec.\n",
      "===> Epoch[6](5120/5770): Loss: 71.9803 || Time: 0.3344 sec.\n",
      "===> Epoch[6](5140/5770): Loss: 314.7630 || Time: 0.3356 sec.\n",
      "===> Epoch[6](5160/5770): Loss: 71.0610 || Time: 0.3395 sec.\n",
      "===> Epoch[6](5180/5770): Loss: 338.7342 || Time: 0.3349 sec.\n",
      "===> Epoch[6](5200/5770): Loss: 106.5739 || Time: 0.3430 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 244.5383, Mean AP = 0.5666, Mean SSIM = 0.9555, Mean PSNR = 25.1688 || Time: 9.9553 sec.\n",
      "===> Epoch[6](5220/5770): Loss: 100.8577 || Time: 0.3297 sec.\n",
      "===> Epoch[6](5240/5770): Loss: 204.5639 || Time: 0.3358 sec.\n",
      "===> Epoch[6](5260/5770): Loss: 242.3564 || Time: 0.3340 sec.\n",
      "===> Epoch[6](5280/5770): Loss: 243.2402 || Time: 0.3448 sec.\n",
      "===> Epoch[6](5300/5770): Loss: 134.7444 || Time: 0.3405 sec.\n",
      "===> Epoch[6](5320/5770): Loss: 310.8533 || Time: 0.3384 sec.\n",
      "===> Epoch[6](5340/5770): Loss: 149.8936 || Time: 0.3352 sec.\n",
      "===> Epoch[6](5360/5770): Loss: 47.4002 || Time: 0.3379 sec.\n",
      "===> Epoch[6](5380/5770): Loss: 178.1147 || Time: 0.3372 sec.\n",
      "===> Epoch[6](5400/5770): Loss: 117.3203 || Time: 0.3314 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 244.3810, Mean AP = 0.5719, Mean SSIM = 0.9555, Mean PSNR = 25.1889 || Time: 9.9946 sec.\n",
      "===> Epoch[6](5420/5770): Loss: 202.2013 || Time: 0.3306 sec.\n",
      "===> Epoch[6](5440/5770): Loss: 320.6389 || Time: 0.3285 sec.\n",
      "===> Epoch[6](5460/5770): Loss: 41.7442 || Time: 0.3314 sec.\n",
      "===> Epoch[6](5480/5770): Loss: 197.4899 || Time: 0.3328 sec.\n",
      "===> Epoch[6](5500/5770): Loss: 457.3116 || Time: 0.3396 sec.\n",
      "===> Epoch[6](5520/5770): Loss: 246.8741 || Time: 0.3422 sec.\n",
      "===> Epoch[6](5540/5770): Loss: 396.8501 || Time: 0.3390 sec.\n",
      "===> Epoch[6](5560/5770): Loss: 146.1764 || Time: 0.3296 sec.\n",
      "===> Epoch[6](5580/5770): Loss: 135.8571 || Time: 0.3454 sec.\n",
      "===> Epoch[6](5600/5770): Loss: 350.1793 || Time: 0.3588 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 225.9523, Mean AP = 0.5744, Mean SSIM = 0.9556, Mean PSNR = 25.2327 || Time: 10.1829 sec.\n",
      "===> Epoch 6 Complete: Avg. Loss: 118.5769 || Time: 2170.5435 sec.\n",
      "===> Epoch[7](20/5770): Loss: 143.8775 || Time: 0.3306 sec.\n",
      "===> Epoch[7](40/5770): Loss: 94.2884 || Time: 0.3257 sec.\n",
      "===> Epoch[7](60/5770): Loss: 253.4204 || Time: 0.3316 sec.\n",
      "===> Epoch[7](80/5770): Loss: 115.7897 || Time: 0.3339 sec.\n",
      "===> Epoch[7](100/5770): Loss: 338.4588 || Time: 0.3326 sec.\n",
      "===> Epoch[7](120/5770): Loss: 118.7095 || Time: 0.3314 sec.\n",
      "===> Epoch[7](140/5770): Loss: 382.5736 || Time: 0.3428 sec.\n",
      "===> Epoch[7](160/5770): Loss: 260.2181 || Time: 0.3337 sec.\n",
      "===> Epoch[7](180/5770): Loss: 362.8713 || Time: 0.3322 sec.\n",
      "===> Epoch[7](200/5770): Loss: 237.4868 || Time: 0.3405 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 207.5620, Mean AP = 0.5741, Mean SSIM = 0.9555, Mean PSNR = 25.2575 || Time: 10.1155 sec.\n",
      "===> Epoch[7](220/5770): Loss: 93.1289 || Time: 0.3286 sec.\n",
      "===> Epoch[7](240/5770): Loss: 248.3731 || Time: 0.3391 sec.\n",
      "===> Epoch[7](260/5770): Loss: 225.7410 || Time: 0.3322 sec.\n",
      "===> Epoch[7](280/5770): Loss: 138.9521 || Time: 0.3316 sec.\n",
      "===> Epoch[7](300/5770): Loss: 153.2144 || Time: 0.3308 sec.\n",
      "===> Epoch[7](320/5770): Loss: 160.8963 || Time: 0.3388 sec.\n",
      "===> Epoch[7](340/5770): Loss: 173.9221 || Time: 0.3514 sec.\n",
      "===> Epoch[7](360/5770): Loss: 224.4825 || Time: 0.3424 sec.\n",
      "===> Epoch[7](380/5770): Loss: 187.2471 || Time: 0.3337 sec.\n",
      "===> Epoch[7](400/5770): Loss: 303.2693 || Time: 0.3380 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 219.8067, Mean AP = 0.5729, Mean SSIM = 0.9554, Mean PSNR = 25.2314 || Time: 10.0289 sec.\n",
      "===> Epoch[7](420/5770): Loss: 96.3040 || Time: 0.3352 sec.\n",
      "===> Epoch[7](440/5770): Loss: 443.7488 || Time: 0.3317 sec.\n",
      "===> Epoch[7](460/5770): Loss: 183.3056 || Time: 0.3325 sec.\n",
      "===> Epoch[7](480/5770): Loss: 61.0674 || Time: 0.3317 sec.\n",
      "===> Epoch[7](500/5770): Loss: 77.7984 || Time: 0.3320 sec.\n",
      "===> Epoch[7](520/5770): Loss: 227.0645 || Time: 0.3307 sec.\n",
      "===> Epoch[7](540/5770): Loss: 281.3672 || Time: 0.3334 sec.\n",
      "===> Epoch[7](560/5770): Loss: 219.1430 || Time: 0.3434 sec.\n",
      "===> Epoch[7](580/5770): Loss: 258.3175 || Time: 0.3380 sec.\n",
      "===> Epoch[7](600/5770): Loss: 50.7552 || Time: 0.3522 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 223.1734, Mean AP = 0.5749, Mean SSIM = 0.9558, Mean PSNR = 25.2551 || Time: 10.0353 sec.\n",
      "===> Epoch[7](620/5770): Loss: 128.3493 || Time: 0.3364 sec.\n",
      "===> Epoch[7](640/5770): Loss: 209.6090 || Time: 0.3328 sec.\n",
      "===> Epoch[7](660/5770): Loss: 122.5526 || Time: 0.3312 sec.\n",
      "===> Epoch[7](680/5770): Loss: 196.9010 || Time: 0.3347 sec.\n",
      "===> Epoch[7](700/5770): Loss: 272.5129 || Time: 0.3336 sec.\n",
      "===> Epoch[7](720/5770): Loss: 98.3334 || Time: 0.3459 sec.\n",
      "===> Epoch[7](740/5770): Loss: 377.1263 || Time: 0.3315 sec.\n",
      "===> Epoch[7](760/5770): Loss: 306.0194 || Time: 0.3327 sec.\n",
      "===> Epoch[7](780/5770): Loss: 440.9287 || Time: 0.3406 sec.\n",
      "===> Epoch[7](800/5770): Loss: 164.3576 || Time: 0.3316 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 231.9974, Mean AP = 0.5205, Mean SSIM = 0.9556, Mean PSNR = 25.2180 || Time: 10.0096 sec.\n",
      "===> Epoch[7](820/5770): Loss: 316.2997 || Time: 0.3303 sec.\n",
      "===> Epoch[7](840/5770): Loss: 303.5647 || Time: 0.3388 sec.\n",
      "===> Epoch[7](860/5770): Loss: 263.1286 || Time: 0.3339 sec.\n",
      "===> Epoch[7](880/5770): Loss: 161.6024 || Time: 0.3531 sec.\n",
      "===> Epoch[7](900/5770): Loss: 376.8792 || Time: 0.3320 sec.\n",
      "===> Epoch[7](920/5770): Loss: 168.6772 || Time: 0.3293 sec.\n",
      "===> Epoch[7](940/5770): Loss: 313.7790 || Time: 0.3347 sec.\n",
      "===> Epoch[7](960/5770): Loss: 92.5302 || Time: 0.3403 sec.\n",
      "===> Epoch[7](980/5770): Loss: 299.7063 || Time: 0.3316 sec.\n",
      "===> Epoch[7](1000/5770): Loss: 91.2656 || Time: 0.3340 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 224.4904, Mean AP = 0.5714, Mean SSIM = 0.9556, Mean PSNR = 25.2565 || Time: 10.0989 sec.\n",
      "Saving state, iter: 1000\n",
      "===> Epoch[7](1020/5770): Loss: 258.8538 || Time: 0.3315 sec.\n",
      "===> Epoch[7](1040/5770): Loss: 272.6785 || Time: 0.3295 sec.\n",
      "===> Epoch[7](1060/5770): Loss: 135.9584 || Time: 0.3313 sec.\n",
      "===> Epoch[7](1080/5770): Loss: 607.8468 || Time: 0.3364 sec.\n",
      "===> Epoch[7](1100/5770): Loss: 331.4384 || Time: 0.3327 sec.\n",
      "===> Epoch[7](1120/5770): Loss: 291.2214 || Time: 0.3317 sec.\n",
      "===> Epoch[7](1140/5770): Loss: 124.1911 || Time: 0.3341 sec.\n",
      "===> Epoch[7](1160/5770): Loss: 231.0917 || Time: 0.3472 sec.\n",
      "===> Epoch[7](1180/5770): Loss: 136.6855 || Time: 0.3379 sec.\n",
      "===> Epoch[7](1200/5770): Loss: 160.8906 || Time: 0.3324 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 240.5954, Mean AP = 0.5674, Mean SSIM = 0.9536, Mean PSNR = 25.1205 || Time: 10.0086 sec.\n",
      "===> Epoch[7](1220/5770): Loss: 328.3687 || Time: 0.3329 sec.\n",
      "===> Epoch[7](1240/5770): Loss: 313.0308 || Time: 0.3375 sec.\n",
      "===> Epoch[7](1260/5770): Loss: 564.6160 || Time: 0.3330 sec.\n",
      "===> Epoch[7](1280/5770): Loss: 271.3606 || Time: 0.3397 sec.\n",
      "===> Epoch[7](1300/5770): Loss: 121.0437 || Time: 0.3446 sec.\n",
      "===> Epoch[7](1320/5770): Loss: 422.8137 || Time: 0.3320 sec.\n",
      "===> Epoch[7](1340/5770): Loss: 170.8616 || Time: 0.3324 sec.\n",
      "===> Epoch[7](1360/5770): Loss: 134.4040 || Time: 0.3321 sec.\n",
      "===> Epoch[7](1380/5770): Loss: 148.6474 || Time: 0.3388 sec.\n",
      "===> Epoch[7](1400/5770): Loss: 234.7665 || Time: 0.3366 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 244.7642, Mean AP = 0.5776, Mean SSIM = 0.9558, Mean PSNR = 25.2786 || Time: 10.1245 sec.\n",
      "===> Epoch[7](1420/5770): Loss: 246.8669 || Time: 0.3305 sec.\n",
      "===> Epoch[7](1440/5770): Loss: 243.7173 || Time: 0.3288 sec.\n",
      "===> Epoch[7](1460/5770): Loss: 266.0905 || Time: 0.3307 sec.\n",
      "===> Epoch[7](1480/5770): Loss: 190.7445 || Time: 0.3481 sec.\n",
      "===> Epoch[7](1500/5770): Loss: 289.5214 || Time: 0.3291 sec.\n",
      "===> Epoch[7](1520/5770): Loss: 170.3487 || Time: 0.3296 sec.\n",
      "===> Epoch[7](1540/5770): Loss: 231.9299 || Time: 0.3320 sec.\n",
      "===> Epoch[7](1560/5770): Loss: 322.2952 || Time: 0.3546 sec.\n",
      "===> Epoch[7](1580/5770): Loss: 97.5767 || Time: 0.3300 sec.\n",
      "===> Epoch[7](1600/5770): Loss: 76.4399 || Time: 0.3395 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 238.1893, Mean AP = 0.5218, Mean SSIM = 0.9558, Mean PSNR = 25.2561 || Time: 10.0480 sec.\n",
      "===> Epoch[7](1620/5770): Loss: 353.6556 || Time: 0.3297 sec.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> Epoch[7](1640/5770): Loss: 365.8712 || Time: 0.3317 sec.\n",
      "===> Epoch[7](1660/5770): Loss: 113.9735 || Time: 0.3376 sec.\n",
      "===> Epoch[7](1680/5770): Loss: 148.0800 || Time: 0.3459 sec.\n",
      "===> Epoch[7](1700/5770): Loss: 327.7034 || Time: 0.3883 sec.\n",
      "===> Epoch[7](1720/5770): Loss: 150.6478 || Time: 0.3564 sec.\n",
      "===> Epoch[7](1740/5770): Loss: 529.8216 || Time: 0.3375 sec.\n",
      "===> Epoch[7](1760/5770): Loss: 262.4258 || Time: 0.3305 sec.\n",
      "===> Epoch[7](1780/5770): Loss: 273.3211 || Time: 0.3284 sec.\n",
      "===> Epoch[7](1800/5770): Loss: 95.1227 || Time: 0.3337 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 230.5596, Mean AP = 0.5194, Mean SSIM = 0.9556, Mean PSNR = 25.2701 || Time: 10.0448 sec.\n",
      "===> Epoch[7](1820/5770): Loss: 135.0602 || Time: 0.3279 sec.\n",
      "===> Epoch[7](1840/5770): Loss: 460.1233 || Time: 0.3310 sec.\n",
      "===> Epoch[7](1860/5770): Loss: 287.5385 || Time: 0.3331 sec.\n",
      "===> Epoch[7](1880/5770): Loss: 175.6081 || Time: 0.3335 sec.\n",
      "===> Epoch[7](1900/5770): Loss: 148.9124 || Time: 0.3366 sec.\n",
      "===> Epoch[7](1920/5770): Loss: 308.2760 || Time: 0.3305 sec.\n",
      "===> Epoch[7](1940/5770): Loss: 124.3336 || Time: 0.3287 sec.\n",
      "===> Epoch[7](1960/5770): Loss: 163.9447 || Time: 0.3311 sec.\n",
      "===> Epoch[7](1980/5770): Loss: 248.2136 || Time: 0.3401 sec.\n",
      "===> Epoch[7](2000/5770): Loss: 230.5546 || Time: 0.3326 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 233.3564, Mean AP = 0.5258, Mean SSIM = 0.9515, Mean PSNR = 25.1018 || Time: 10.1707 sec.\n",
      "Saving state, iter: 2000\n",
      "===> Epoch[7](2020/5770): Loss: 135.6325 || Time: 0.3281 sec.\n",
      "===> Epoch[7](2040/5770): Loss: 447.7226 || Time: 0.3343 sec.\n",
      "===> Epoch[7](2060/5770): Loss: 184.2435 || Time: 0.3416 sec.\n",
      "===> Epoch[7](2080/5770): Loss: 128.4617 || Time: 0.3406 sec.\n",
      "===> Epoch[7](2100/5770): Loss: 203.9896 || Time: 0.3325 sec.\n",
      "===> Epoch[7](2120/5770): Loss: 131.4502 || Time: 0.3302 sec.\n",
      "===> Epoch[7](2140/5770): Loss: 241.9214 || Time: 0.3350 sec.\n",
      "===> Epoch[7](2160/5770): Loss: 280.3302 || Time: 0.3382 sec.\n",
      "===> Epoch[7](2180/5770): Loss: 275.4563 || Time: 0.3318 sec.\n",
      "===> Epoch[7](2200/5770): Loss: 371.5548 || Time: 0.3307 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 242.3898, Mean AP = 0.5164, Mean SSIM = 0.9556, Mean PSNR = 25.2644 || Time: 10.0810 sec.\n",
      "===> Epoch[7](2220/5770): Loss: 109.6625 || Time: 0.3341 sec.\n",
      "===> Epoch[7](2240/5770): Loss: 191.9675 || Time: 0.3309 sec.\n",
      "===> Epoch[7](2260/5770): Loss: 127.5364 || Time: 0.3365 sec.\n",
      "===> Epoch[7](2280/5770): Loss: 457.7365 || Time: 0.3445 sec.\n",
      "===> Epoch[7](2300/5770): Loss: 309.2555 || Time: 0.3354 sec.\n",
      "===> Epoch[7](2320/5770): Loss: 112.9209 || Time: 0.3301 sec.\n",
      "===> Epoch[7](2340/5770): Loss: 518.1817 || Time: 0.3309 sec.\n",
      "===> Epoch[7](2360/5770): Loss: 138.0442 || Time: 0.3359 sec.\n",
      "===> Epoch[7](2380/5770): Loss: 341.2852 || Time: 0.3332 sec.\n",
      "===> Epoch[7](2400/5770): Loss: 156.8823 || Time: 0.3390 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 262.9429, Mean AP = 0.5183, Mean SSIM = 0.9557, Mean PSNR = 25.2900 || Time: 10.0875 sec.\n",
      "===> Epoch[7](2420/5770): Loss: 120.7579 || Time: 0.3289 sec.\n",
      "===> Epoch[7](2440/5770): Loss: 491.4397 || Time: 0.3413 sec.\n",
      "===> Epoch[7](2460/5770): Loss: 87.6764 || Time: 0.3311 sec.\n",
      "===> Epoch[7](2480/5770): Loss: 438.6451 || Time: 0.3390 sec.\n",
      "===> Epoch[7](2500/5770): Loss: 157.6680 || Time: 0.3335 sec.\n",
      "===> Epoch[7](2520/5770): Loss: 309.8814 || Time: 0.3354 sec.\n",
      "===> Epoch[7](2540/5770): Loss: 381.8181 || Time: 0.3331 sec.\n",
      "===> Epoch[7](2560/5770): Loss: 499.4012 || Time: 0.3538 sec.\n",
      "===> Epoch[7](2580/5770): Loss: 601.7605 || Time: 0.3319 sec.\n",
      "===> Epoch[7](2600/5770): Loss: 152.5474 || Time: 0.3604 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 234.8968, Mean AP = 0.5192, Mean SSIM = 0.9557, Mean PSNR = 25.2574 || Time: 10.0628 sec.\n",
      "===> Epoch[7](2620/5770): Loss: 64.4648 || Time: 0.3310 sec.\n",
      "===> Epoch[7](2640/5770): Loss: 194.0792 || Time: 0.3468 sec.\n",
      "===> Epoch[7](2660/5770): Loss: 121.0498 || Time: 0.3411 sec.\n",
      "===> Epoch[7](2680/5770): Loss: 361.0267 || Time: 0.3323 sec.\n",
      "===> Epoch[7](2700/5770): Loss: 219.3092 || Time: 0.3327 sec.\n",
      "===> Epoch[7](2720/5770): Loss: 318.6574 || Time: 0.3389 sec.\n",
      "===> Epoch[7](2740/5770): Loss: 274.2481 || Time: 0.3413 sec.\n",
      "===> Epoch[7](2760/5770): Loss: 98.6477 || Time: 0.3375 sec.\n",
      "===> Epoch[7](2780/5770): Loss: 451.5632 || Time: 0.3417 sec.\n",
      "===> Epoch[7](2800/5770): Loss: 144.7614 || Time: 0.3430 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 248.0842, Mean AP = 0.5229, Mean SSIM = 0.9557, Mean PSNR = 25.2732 || Time: 10.0451 sec.\n",
      "===> Epoch[7](2820/5770): Loss: 222.7107 || Time: 0.3317 sec.\n",
      "===> Epoch[7](2840/5770): Loss: 86.7703 || Time: 0.3340 sec.\n",
      "===> Epoch[7](2860/5770): Loss: 157.3508 || Time: 0.3379 sec.\n",
      "===> Epoch[7](2880/5770): Loss: 302.5816 || Time: 0.3360 sec.\n",
      "===> Epoch[7](2900/5770): Loss: 836.4040 || Time: 0.3354 sec.\n",
      "===> Epoch[7](2920/5770): Loss: 331.7857 || Time: 0.3587 sec.\n",
      "===> Epoch[7](2940/5770): Loss: 614.4694 || Time: 0.3352 sec.\n",
      "===> Epoch[7](2960/5770): Loss: 273.9762 || Time: 0.3367 sec.\n",
      "===> Epoch[7](2980/5770): Loss: 257.8583 || Time: 0.3340 sec.\n",
      "===> Epoch[7](3000/5770): Loss: 211.3861 || Time: 0.3367 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 245.1686, Mean AP = 0.5169, Mean SSIM = 0.9557, Mean PSNR = 25.2425 || Time: 10.1161 sec.\n",
      "Saving state, iter: 3000\n",
      "===> Epoch[7](3020/5770): Loss: 319.0163 || Time: 0.3297 sec.\n",
      "===> Epoch[7](3040/5770): Loss: 215.7863 || Time: 0.3291 sec.\n",
      "===> Epoch[7](3060/5770): Loss: 399.2049 || Time: 0.3356 sec.\n",
      "===> Epoch[7](3080/5770): Loss: 267.5381 || Time: 0.3309 sec.\n",
      "===> Epoch[7](3100/5770): Loss: 334.8112 || Time: 0.3348 sec.\n",
      "===> Epoch[7](3120/5770): Loss: 78.2137 || Time: 0.3311 sec.\n",
      "===> Epoch[7](3140/5770): Loss: 133.8212 || Time: 0.3372 sec.\n",
      "===> Epoch[7](3160/5770): Loss: 149.4155 || Time: 0.3386 sec.\n",
      "===> Epoch[7](3180/5770): Loss: 339.5716 || Time: 0.3374 sec.\n",
      "===> Epoch[7](3200/5770): Loss: 255.7276 || Time: 0.3322 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 236.4661, Mean AP = 0.5206, Mean SSIM = 0.9560, Mean PSNR = 25.2731 || Time: 10.0340 sec.\n",
      "===> Epoch[7](3220/5770): Loss: 139.6740 || Time: 0.3393 sec.\n",
      "===> Epoch[7](3240/5770): Loss: 246.0242 || Time: 0.3377 sec.\n",
      "===> Epoch[7](3260/5770): Loss: 559.4277 || Time: 0.3290 sec.\n",
      "===> Epoch[7](3280/5770): Loss: 126.7576 || Time: 0.3379 sec.\n",
      "===> Epoch[7](3300/5770): Loss: 210.9110 || Time: 0.3311 sec.\n",
      "===> Epoch[7](3320/5770): Loss: 256.8732 || Time: 0.3326 sec.\n",
      "===> Epoch[7](3340/5770): Loss: 248.7376 || Time: 0.3361 sec.\n",
      "===> Epoch[7](3360/5770): Loss: 192.9533 || Time: 0.3409 sec.\n",
      "===> Epoch[7](3380/5770): Loss: 292.5449 || Time: 0.3307 sec.\n",
      "===> Epoch[7](3400/5770): Loss: 163.9031 || Time: 0.3505 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 230.2068, Mean AP = 0.5201, Mean SSIM = 0.9559, Mean PSNR = 25.3016 || Time: 10.1144 sec.\n",
      "===> Epoch[7](3420/5770): Loss: 297.9286 || Time: 0.3278 sec.\n",
      "===> Epoch[7](3440/5770): Loss: 253.1070 || Time: 0.3320 sec.\n",
      "===> Epoch[7](3460/5770): Loss: 69.1159 || Time: 0.3404 sec.\n",
      "===> Epoch[7](3480/5770): Loss: 51.0228 || Time: 0.3286 sec.\n",
      "===> Epoch[7](3500/5770): Loss: 166.5648 || Time: 0.3587 sec.\n",
      "===> Epoch[7](3520/5770): Loss: 260.9335 || Time: 0.3482 sec.\n",
      "===> Epoch[7](3540/5770): Loss: 60.6411 || Time: 0.3461 sec.\n",
      "===> Epoch[7](3560/5770): Loss: 128.4415 || Time: 0.3336 sec.\n",
      "===> Epoch[7](3580/5770): Loss: 204.8460 || Time: 0.3620 sec.\n",
      "===> Epoch[7](3600/5770): Loss: 148.7875 || Time: 0.3328 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 221.7527, Mean AP = 0.5693, Mean SSIM = 0.9556, Mean PSNR = 25.2257 || Time: 10.0412 sec.\n",
      "===> Epoch[7](3620/5770): Loss: 280.5847 || Time: 0.3378 sec.\n",
      "===> Epoch[7](3640/5770): Loss: 169.3656 || Time: 0.3340 sec.\n",
      "===> Epoch[7](3660/5770): Loss: 148.2872 || Time: 0.3537 sec.\n",
      "===> Epoch[7](3680/5770): Loss: 376.4233 || Time: 0.3345 sec.\n",
      "===> Epoch[7](3700/5770): Loss: 138.5118 || Time: 0.3519 sec.\n",
      "===> Epoch[7](3720/5770): Loss: 562.5734 || Time: 0.3350 sec.\n",
      "===> Epoch[7](3740/5770): Loss: 268.7282 || Time: 0.3341 sec.\n",
      "===> Epoch[7](3760/5770): Loss: 118.5652 || Time: 0.3398 sec.\n",
      "===> Epoch[7](3780/5770): Loss: 230.3452 || Time: 0.3306 sec.\n",
      "===> Epoch[7](3800/5770): Loss: 53.4714 || Time: 0.3327 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 221.5739, Mean AP = 0.5214, Mean SSIM = 0.9551, Mean PSNR = 25.2828 || Time: 10.1926 sec.\n",
      "===> Epoch[7](3820/5770): Loss: 92.4257 || Time: 0.3587 sec.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> Epoch[7](3840/5770): Loss: 136.0464 || Time: 0.3321 sec.\n",
      "===> Epoch[7](3860/5770): Loss: 117.1771 || Time: 0.3335 sec.\n",
      "===> Epoch[7](3880/5770): Loss: 140.2004 || Time: 0.3436 sec.\n",
      "===> Epoch[7](3900/5770): Loss: 233.9100 || Time: 0.3339 sec.\n",
      "===> Epoch[7](3920/5770): Loss: 138.8504 || Time: 0.3855 sec.\n",
      "===> Epoch[7](3940/5770): Loss: 61.5961 || Time: 0.3473 sec.\n",
      "===> Epoch[7](3960/5770): Loss: 256.4381 || Time: 0.3348 sec.\n",
      "===> Epoch[7](3980/5770): Loss: 300.8892 || Time: 0.3321 sec.\n",
      "===> Epoch[7](4000/5770): Loss: 227.8776 || Time: 0.3335 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 224.7644, Mean AP = 0.5292, Mean SSIM = 0.9559, Mean PSNR = 25.2950 || Time: 10.0442 sec.\n",
      "Saving state, iter: 4000\n",
      "===> Epoch[7](4020/5770): Loss: 62.7840 || Time: 0.3278 sec.\n",
      "===> Epoch[7](4040/5770): Loss: 303.9391 || Time: 0.3311 sec.\n",
      "===> Epoch[7](4060/5770): Loss: 115.4783 || Time: 0.3305 sec.\n",
      "===> Epoch[7](4080/5770): Loss: 233.6117 || Time: 0.3424 sec.\n",
      "===> Epoch[7](4100/5770): Loss: 75.5695 || Time: 0.3318 sec.\n",
      "===> Epoch[7](4120/5770): Loss: 240.7469 || Time: 0.3351 sec.\n",
      "===> Epoch[7](4140/5770): Loss: 117.9046 || Time: 0.3445 sec.\n",
      "===> Epoch[7](4160/5770): Loss: 110.9549 || Time: 0.3437 sec.\n",
      "===> Epoch[7](4180/5770): Loss: 225.4369 || Time: 0.3390 sec.\n",
      "===> Epoch[7](4200/5770): Loss: 262.7942 || Time: 0.3457 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 214.1112, Mean AP = 0.5237, Mean SSIM = 0.9561, Mean PSNR = 25.3016 || Time: 10.1194 sec.\n",
      "===> Epoch[7](4220/5770): Loss: 290.0554 || Time: 0.3314 sec.\n",
      "===> Epoch[7](4240/5770): Loss: 158.5957 || Time: 0.3401 sec.\n",
      "===> Epoch[7](4260/5770): Loss: 222.6393 || Time: 0.3361 sec.\n",
      "===> Epoch[7](4280/5770): Loss: 68.9734 || Time: 0.3306 sec.\n",
      "===> Epoch[7](4300/5770): Loss: 211.5092 || Time: 0.3307 sec.\n",
      "===> Epoch[7](4320/5770): Loss: 353.0411 || Time: 0.3321 sec.\n",
      "===> Epoch[7](4340/5770): Loss: 485.7787 || Time: 0.3307 sec.\n",
      "===> Epoch[7](4360/5770): Loss: 138.1872 || Time: 0.3326 sec.\n",
      "===> Epoch[7](4380/5770): Loss: 80.1355 || Time: 0.3369 sec.\n",
      "===> Epoch[7](4400/5770): Loss: 557.7534 || Time: 0.3343 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 220.7307, Mean AP = 0.5252, Mean SSIM = 0.9560, Mean PSNR = 25.2972 || Time: 10.0750 sec.\n",
      "===> Epoch[7](4420/5770): Loss: 39.6536 || Time: 0.3300 sec.\n",
      "===> Epoch[7](4440/5770): Loss: 112.4679 || Time: 0.3398 sec.\n",
      "===> Epoch[7](4460/5770): Loss: 77.3437 || Time: 0.3514 sec.\n",
      "===> Epoch[7](4480/5770): Loss: 215.2738 || Time: 0.3393 sec.\n",
      "===> Epoch[7](4500/5770): Loss: 271.3986 || Time: 0.3367 sec.\n",
      "===> Epoch[7](4520/5770): Loss: 286.8538 || Time: 0.3397 sec.\n",
      "===> Epoch[7](4540/5770): Loss: 573.6877 || Time: 0.3363 sec.\n",
      "===> Epoch[7](4560/5770): Loss: 270.8567 || Time: 0.3384 sec.\n",
      "===> Epoch[7](4580/5770): Loss: 249.8526 || Time: 0.3324 sec.\n",
      "===> Epoch[7](4600/5770): Loss: 304.9138 || Time: 0.3406 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 238.1362, Mean AP = 0.5255, Mean SSIM = 0.9557, Mean PSNR = 25.2633 || Time: 10.0450 sec.\n",
      "===> Epoch[7](4620/5770): Loss: 279.5147 || Time: 0.3372 sec.\n",
      "===> Epoch[7](4640/5770): Loss: 345.6570 || Time: 0.3369 sec.\n",
      "===> Epoch[7](4660/5770): Loss: 43.7512 || Time: 0.3352 sec.\n",
      "===> Epoch[7](4680/5770): Loss: 121.6361 || Time: 0.3334 sec.\n",
      "===> Epoch[7](4700/5770): Loss: 257.2271 || Time: 0.3313 sec.\n",
      "===> Epoch[7](4720/5770): Loss: 150.3755 || Time: 0.3310 sec.\n",
      "===> Epoch[7](4740/5770): Loss: 116.1252 || Time: 0.3531 sec.\n",
      "===> Epoch[7](4760/5770): Loss: 223.1797 || Time: 0.3352 sec.\n",
      "===> Epoch[7](4780/5770): Loss: 122.8115 || Time: 0.3500 sec.\n",
      "===> Epoch[7](4800/5770): Loss: 260.0373 || Time: 0.3548 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 221.2949, Mean AP = 0.5230, Mean SSIM = 0.9525, Mean PSNR = 25.1968 || Time: 10.0405 sec.\n",
      "===> Epoch[7](4820/5770): Loss: 49.0437 || Time: 0.3345 sec.\n",
      "===> Epoch[7](4840/5770): Loss: 299.7668 || Time: 0.3301 sec.\n",
      "===> Epoch[7](4860/5770): Loss: 355.7534 || Time: 0.3362 sec.\n",
      "===> Epoch[7](4880/5770): Loss: 446.4688 || Time: 0.3322 sec.\n",
      "===> Epoch[7](4900/5770): Loss: 231.3760 || Time: 0.3339 sec.\n",
      "===> Epoch[7](4920/5770): Loss: 103.1796 || Time: 0.3287 sec.\n",
      "===> Epoch[7](4940/5770): Loss: 136.2906 || Time: 0.3300 sec.\n",
      "===> Epoch[7](4960/5770): Loss: 203.5673 || Time: 0.3326 sec.\n",
      "===> Epoch[7](4980/5770): Loss: 227.8841 || Time: 0.3344 sec.\n",
      "===> Epoch[7](5000/5770): Loss: 141.2783 || Time: 0.3439 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 240.5786, Mean AP = 0.5207, Mean SSIM = 0.9557, Mean PSNR = 25.2582 || Time: 10.0285 sec.\n",
      "Saving state, iter: 5000\n",
      "===> Epoch[7](5020/5770): Loss: 313.9180 || Time: 0.3283 sec.\n",
      "===> Epoch[7](5040/5770): Loss: 80.4828 || Time: 0.3340 sec.\n",
      "===> Epoch[7](5060/5770): Loss: 141.7503 || Time: 0.3316 sec.\n",
      "===> Epoch[7](5080/5770): Loss: 225.1764 || Time: 0.3359 sec.\n",
      "===> Epoch[7](5100/5770): Loss: 649.3677 || Time: 0.3324 sec.\n",
      "===> Epoch[7](5120/5770): Loss: 68.6133 || Time: 0.3300 sec.\n",
      "===> Epoch[7](5140/5770): Loss: 307.2213 || Time: 0.3355 sec.\n",
      "===> Epoch[7](5160/5770): Loss: 67.5753 || Time: 0.3350 sec.\n",
      "===> Epoch[7](5180/5770): Loss: 331.6742 || Time: 0.3333 sec.\n",
      "===> Epoch[7](5200/5770): Loss: 103.4201 || Time: 0.3361 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 239.0147, Mean AP = 0.5702, Mean SSIM = 0.9559, Mean PSNR = 25.2907 || Time: 10.0417 sec.\n",
      "===> Epoch[7](5220/5770): Loss: 100.0733 || Time: 0.3357 sec.\n",
      "===> Epoch[7](5240/5770): Loss: 200.8358 || Time: 0.3301 sec.\n",
      "===> Epoch[7](5260/5770): Loss: 237.9987 || Time: 0.3343 sec.\n",
      "===> Epoch[7](5280/5770): Loss: 238.1312 || Time: 0.3439 sec.\n",
      "===> Epoch[7](5300/5770): Loss: 134.8933 || Time: 0.3427 sec.\n",
      "===> Epoch[7](5320/5770): Loss: 307.0566 || Time: 0.3331 sec.\n",
      "===> Epoch[7](5340/5770): Loss: 151.4262 || Time: 0.3348 sec.\n",
      "===> Epoch[7](5360/5770): Loss: 54.1611 || Time: 0.3356 sec.\n",
      "===> Epoch[7](5380/5770): Loss: 255.9490 || Time: 0.3313 sec.\n",
      "===> Epoch[7](5400/5770): Loss: 127.5626 || Time: 0.3372 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 246.1996, Mean AP = 0.5750, Mean SSIM = 0.9545, Mean PSNR = 24.6558 || Time: 10.0533 sec.\n",
      "===> Epoch[7](5420/5770): Loss: 202.0511 || Time: 0.3403 sec.\n",
      "===> Epoch[7](5440/5770): Loss: 323.0446 || Time: 0.3390 sec.\n",
      "===> Epoch[7](5460/5770): Loss: 43.9341 || Time: 0.3381 sec.\n",
      "===> Epoch[7](5480/5770): Loss: 195.8023 || Time: 0.3414 sec.\n",
      "===> Epoch[7](5500/5770): Loss: 453.8794 || Time: 0.3296 sec.\n",
      "===> Epoch[7](5520/5770): Loss: 243.7465 || Time: 0.3312 sec.\n",
      "===> Epoch[7](5540/5770): Loss: 394.6989 || Time: 0.3372 sec.\n",
      "===> Epoch[7](5560/5770): Loss: 142.7520 || Time: 0.3366 sec.\n",
      "===> Epoch[7](5580/5770): Loss: 131.7163 || Time: 0.3492 sec.\n",
      "===> Epoch[7](5600/5770): Loss: 345.0526 || Time: 0.3330 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 226.4294, Mean AP = 0.5217, Mean SSIM = 0.9561, Mean PSNR = 25.3018 || Time: 10.0599 sec.\n",
      "===> Epoch 7 Complete: Avg. Loss: 116.2363 || Time: 2171.1457 sec.\n",
      "===> Epoch[8](20/5770): Loss: 141.5695 || Time: 0.3319 sec.\n",
      "===> Epoch[8](40/5770): Loss: 88.6948 || Time: 0.3315 sec.\n",
      "===> Epoch[8](60/5770): Loss: 249.8797 || Time: 0.3298 sec.\n",
      "===> Epoch[8](80/5770): Loss: 113.7874 || Time: 0.3365 sec.\n",
      "===> Epoch[8](100/5770): Loss: 336.3445 || Time: 0.3355 sec.\n",
      "===> Epoch[8](120/5770): Loss: 116.4583 || Time: 0.3376 sec.\n",
      "===> Epoch[8](140/5770): Loss: 372.9400 || Time: 0.3374 sec.\n",
      "===> Epoch[8](160/5770): Loss: 255.1983 || Time: 0.3421 sec.\n",
      "===> Epoch[8](180/5770): Loss: 360.1960 || Time: 0.3325 sec.\n",
      "===> Epoch[8](200/5770): Loss: 234.6239 || Time: 0.3348 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 203.5625, Mean AP = 0.5241, Mean SSIM = 0.9562, Mean PSNR = 25.3169 || Time: 10.0953 sec.\n",
      "===> Epoch[8](220/5770): Loss: 90.3191 || Time: 0.3318 sec.\n",
      "===> Epoch[8](240/5770): Loss: 246.9865 || Time: 0.3322 sec.\n",
      "===> Epoch[8](260/5770): Loss: 201.9929 || Time: 0.3431 sec.\n",
      "===> Epoch[8](280/5770): Loss: 135.9596 || Time: 0.3328 sec.\n",
      "===> Epoch[8](300/5770): Loss: 150.0174 || Time: 0.3339 sec.\n",
      "===> Epoch[8](320/5770): Loss: 157.3846 || Time: 0.3698 sec.\n",
      "===> Epoch[8](340/5770): Loss: 169.4752 || Time: 0.3374 sec.\n",
      "===> Epoch[8](360/5770): Loss: 216.7764 || Time: 0.3395 sec.\n",
      "===> Epoch[8](380/5770): Loss: 181.9315 || Time: 0.3405 sec.\n",
      "===> Epoch[8](400/5770): Loss: 295.5092 || Time: 0.3339 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 214.6559, Mean AP = 0.5196, Mean SSIM = 0.9563, Mean PSNR = 25.3231 || Time: 10.0631 sec.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> Epoch[8](420/5770): Loss: 90.8816 || Time: 0.3485 sec.\n",
      "===> Epoch[8](440/5770): Loss: 439.2117 || Time: 0.3483 sec.\n",
      "===> Epoch[8](460/5770): Loss: 182.3954 || Time: 0.3310 sec.\n",
      "===> Epoch[8](480/5770): Loss: 59.9462 || Time: 0.3535 sec.\n",
      "===> Epoch[8](500/5770): Loss: 77.8217 || Time: 0.3406 sec.\n",
      "===> Epoch[8](520/5770): Loss: 225.8030 || Time: 0.3314 sec.\n",
      "===> Epoch[8](540/5770): Loss: 277.1718 || Time: 0.3745 sec.\n",
      "===> Epoch[8](560/5770): Loss: 217.7631 || Time: 0.3349 sec.\n",
      "===> Epoch[8](580/5770): Loss: 252.9265 || Time: 0.3448 sec.\n",
      "===> Epoch[8](600/5770): Loss: 48.7399 || Time: 0.3417 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 219.4286, Mean AP = 0.5733, Mean SSIM = 0.9563, Mean PSNR = 25.3194 || Time: 10.3155 sec.\n",
      "===> Epoch[8](620/5770): Loss: 125.1671 || Time: 0.3707 sec.\n",
      "===> Epoch[8](640/5770): Loss: 207.0665 || Time: 0.3640 sec.\n",
      "===> Epoch[8](660/5770): Loss: 120.9432 || Time: 0.3343 sec.\n",
      "===> Epoch[8](680/5770): Loss: 194.8841 || Time: 0.3344 sec.\n",
      "===> Epoch[8](700/5770): Loss: 271.5879 || Time: 0.3448 sec.\n",
      "===> Epoch[8](720/5770): Loss: 97.2213 || Time: 0.3342 sec.\n",
      "===> Epoch[8](740/5770): Loss: 372.1875 || Time: 0.3483 sec.\n",
      "===> Epoch[8](760/5770): Loss: 303.9776 || Time: 0.3353 sec.\n",
      "===> Epoch[8](780/5770): Loss: 437.7697 || Time: 0.3413 sec.\n",
      "===> Epoch[8](800/5770): Loss: 160.1722 || Time: 0.3484 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 228.4613, Mean AP = 0.5209, Mean SSIM = 0.9562, Mean PSNR = 25.2613 || Time: 10.1300 sec.\n",
      "===> Epoch[8](820/5770): Loss: 312.3628 || Time: 0.3280 sec.\n",
      "===> Epoch[8](840/5770): Loss: 302.7744 || Time: 0.3510 sec.\n",
      "===> Epoch[8](860/5770): Loss: 262.3326 || Time: 0.3376 sec.\n",
      "===> Epoch[8](880/5770): Loss: 156.3355 || Time: 0.3645 sec.\n",
      "===> Epoch[8](900/5770): Loss: 350.1183 || Time: 0.3366 sec.\n",
      "===> Epoch[8](920/5770): Loss: 163.7444 || Time: 0.3307 sec.\n",
      "===> Epoch[8](940/5770): Loss: 311.2165 || Time: 0.3309 sec.\n",
      "===> Epoch[8](960/5770): Loss: 91.0682 || Time: 0.3350 sec.\n",
      "===> Epoch[8](980/5770): Loss: 289.2339 || Time: 0.3582 sec.\n",
      "===> Epoch[8](1000/5770): Loss: 90.7466 || Time: 0.3333 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 221.1702, Mean AP = 0.5655, Mean SSIM = 0.9561, Mean PSNR = 25.3191 || Time: 10.0698 sec.\n",
      "Saving state, iter: 1000\n",
      "===> Epoch[8](1020/5770): Loss: 257.4617 || Time: 0.3372 sec.\n",
      "===> Epoch[8](1040/5770): Loss: 262.9668 || Time: 0.3378 sec.\n",
      "===> Epoch[8](1060/5770): Loss: 128.0780 || Time: 0.3349 sec.\n",
      "===> Epoch[8](1080/5770): Loss: 602.9304 || Time: 0.3318 sec.\n",
      "===> Epoch[8](1100/5770): Loss: 327.7817 || Time: 0.3330 sec.\n",
      "===> Epoch[8](1120/5770): Loss: 289.4709 || Time: 0.3396 sec.\n",
      "===> Epoch[8](1140/5770): Loss: 114.7561 || Time: 0.3370 sec.\n",
      "===> Epoch[8](1160/5770): Loss: 229.9075 || Time: 0.3318 sec.\n",
      "===> Epoch[8](1180/5770): Loss: 122.4366 || Time: 0.3343 sec.\n",
      "===> Epoch[8](1200/5770): Loss: 149.6535 || Time: 0.3342 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 231.2994, Mean AP = 0.5717, Mean SSIM = 0.9561, Mean PSNR = 25.1952 || Time: 10.1032 sec.\n",
      "===> Epoch[8](1220/5770): Loss: 319.1278 || Time: 0.3274 sec.\n",
      "===> Epoch[8](1240/5770): Loss: 305.0964 || Time: 0.3385 sec.\n",
      "===> Epoch[8](1260/5770): Loss: 560.7203 || Time: 0.3382 sec.\n",
      "===> Epoch[8](1280/5770): Loss: 266.7547 || Time: 0.3322 sec.\n",
      "===> Epoch[8](1300/5770): Loss: 117.4618 || Time: 0.3316 sec.\n",
      "===> Epoch[8](1320/5770): Loss: 420.1058 || Time: 0.3352 sec.\n",
      "===> Epoch[8](1340/5770): Loss: 165.4149 || Time: 0.3394 sec.\n",
      "===> Epoch[8](1360/5770): Loss: 133.4089 || Time: 0.3352 sec.\n",
      "===> Epoch[8](1380/5770): Loss: 146.8157 || Time: 0.3573 sec.\n",
      "===> Epoch[8](1400/5770): Loss: 232.1273 || Time: 0.3312 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 240.1524, Mean AP = 0.5739, Mean SSIM = 0.9563, Mean PSNR = 25.3334 || Time: 10.0950 sec.\n",
      "===> Epoch[8](1420/5770): Loss: 244.9351 || Time: 0.3305 sec.\n",
      "===> Epoch[8](1440/5770): Loss: 240.9297 || Time: 0.3311 sec.\n",
      "===> Epoch[8](1460/5770): Loss: 258.8364 || Time: 0.3447 sec.\n",
      "===> Epoch[8](1480/5770): Loss: 188.5311 || Time: 0.3393 sec.\n",
      "===> Epoch[8](1500/5770): Loss: 285.5844 || Time: 0.3373 sec.\n",
      "===> Epoch[8](1520/5770): Loss: 167.6697 || Time: 0.3347 sec.\n",
      "===> Epoch[8](1540/5770): Loss: 230.4900 || Time: 0.3314 sec.\n",
      "===> Epoch[8](1560/5770): Loss: 321.9063 || Time: 0.3321 sec.\n",
      "===> Epoch[8](1580/5770): Loss: 95.7600 || Time: 0.3314 sec.\n",
      "===> Epoch[8](1600/5770): Loss: 74.1652 || Time: 0.3306 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 235.9816, Mean AP = 0.5240, Mean SSIM = 0.9559, Mean PSNR = 25.1931 || Time: 10.0410 sec.\n",
      "===> Epoch[8](1620/5770): Loss: 355.7414 || Time: 0.3294 sec.\n",
      "===> Epoch[8](1640/5770): Loss: 380.8911 || Time: 0.3490 sec.\n",
      "===> Epoch[8](1660/5770): Loss: 255.3130 || Time: 0.3338 sec.\n",
      "===> Epoch[8](1680/5770): Loss: 174.5979 || Time: 0.3301 sec.\n",
      "===> Epoch[8](1700/5770): Loss: 336.6446 || Time: 0.3554 sec.\n",
      "===> Epoch[8](1720/5770): Loss: 152.4443 || Time: 0.3479 sec.\n",
      "===> Epoch[8](1740/5770): Loss: 526.6702 || Time: 0.3340 sec.\n",
      "===> Epoch[8](1760/5770): Loss: 259.0187 || Time: 0.3315 sec.\n",
      "===> Epoch[8](1780/5770): Loss: 270.5473 || Time: 0.3325 sec.\n",
      "===> Epoch[8](1800/5770): Loss: 94.9444 || Time: 0.3436 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 249.0703, Mean AP = 0.5278, Mean SSIM = 0.9560, Mean PSNR = 25.3206 || Time: 10.1723 sec.\n",
      "===> Epoch[8](1820/5770): Loss: 135.1909 || Time: 0.3308 sec.\n",
      "===> Epoch[8](1840/5770): Loss: 458.7435 || Time: 0.3405 sec.\n",
      "===> Epoch[8](1860/5770): Loss: 285.8367 || Time: 0.3414 sec.\n",
      "===> Epoch[8](1880/5770): Loss: 172.2858 || Time: 0.3323 sec.\n",
      "===> Epoch[8](1900/5770): Loss: 147.8435 || Time: 0.3315 sec.\n",
      "===> Epoch[8](1920/5770): Loss: 306.6682 || Time: 0.3437 sec.\n",
      "===> Epoch[8](1940/5770): Loss: 121.5604 || Time: 0.3429 sec.\n",
      "===> Epoch[8](1960/5770): Loss: 160.4931 || Time: 0.3399 sec.\n",
      "===> Epoch[8](1980/5770): Loss: 246.0039 || Time: 0.3327 sec.\n",
      "===> Epoch[8](2000/5770): Loss: 228.3065 || Time: 0.3486 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 230.1066, Mean AP = 0.5227, Mean SSIM = 0.9536, Mean PSNR = 25.2078 || Time: 10.0689 sec.\n",
      "Saving state, iter: 2000\n",
      "===> Epoch[8](2020/5770): Loss: 134.2857 || Time: 0.3283 sec.\n",
      "===> Epoch[8](2040/5770): Loss: 435.3875 || Time: 0.3345 sec.\n",
      "===> Epoch[8](2060/5770): Loss: 172.3984 || Time: 0.3394 sec.\n",
      "===> Epoch[8](2080/5770): Loss: 113.4572 || Time: 0.3313 sec.\n",
      "===> Epoch[8](2100/5770): Loss: 189.7793 || Time: 0.3319 sec.\n",
      "===> Epoch[8](2120/5770): Loss: 121.0219 || Time: 0.3331 sec.\n",
      "===> Epoch[8](2140/5770): Loss: 237.7825 || Time: 0.3385 sec.\n",
      "===> Epoch[8](2160/5770): Loss: 275.9912 || Time: 0.3363 sec.\n",
      "===> Epoch[8](2180/5770): Loss: 272.0466 || Time: 0.3372 sec.\n",
      "===> Epoch[8](2200/5770): Loss: 366.4592 || Time: 0.3391 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 234.2019, Mean AP = 0.5257, Mean SSIM = 0.9563, Mean PSNR = 25.3448 || Time: 10.0180 sec.\n",
      "===> Epoch[8](2220/5770): Loss: 107.3814 || Time: 0.3389 sec.\n",
      "===> Epoch[8](2240/5770): Loss: 188.2019 || Time: 0.3318 sec.\n",
      "===> Epoch[8](2260/5770): Loss: 125.4475 || Time: 0.3369 sec.\n",
      "===> Epoch[8](2280/5770): Loss: 456.4249 || Time: 0.3311 sec.\n",
      "===> Epoch[8](2300/5770): Loss: 306.1545 || Time: 0.3318 sec.\n",
      "===> Epoch[8](2320/5770): Loss: 109.6072 || Time: 0.3665 sec.\n",
      "===> Epoch[8](2340/5770): Loss: 515.9243 || Time: 0.3362 sec.\n",
      "===> Epoch[8](2360/5770): Loss: 137.5193 || Time: 0.3448 sec.\n",
      "===> Epoch[8](2380/5770): Loss: 339.3412 || Time: 0.3360 sec.\n",
      "===> Epoch[8](2400/5770): Loss: 154.0275 || Time: 0.3323 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 259.2163, Mean AP = 0.5159, Mean SSIM = 0.9563, Mean PSNR = 25.3493 || Time: 10.0708 sec.\n",
      "===> Epoch[8](2420/5770): Loss: 119.5898 || Time: 0.3336 sec.\n",
      "===> Epoch[8](2440/5770): Loss: 487.4945 || Time: 0.3321 sec.\n",
      "===> Epoch[8](2460/5770): Loss: 83.4669 || Time: 0.3349 sec.\n",
      "===> Epoch[8](2480/5770): Loss: 434.5421 || Time: 0.3325 sec.\n",
      "===> Epoch[8](2500/5770): Loss: 156.5046 || Time: 0.3328 sec.\n",
      "===> Epoch[8](2520/5770): Loss: 308.0381 || Time: 0.3321 sec.\n",
      "===> Epoch[8](2540/5770): Loss: 377.5396 || Time: 0.3342 sec.\n",
      "===> Epoch[8](2560/5770): Loss: 489.4594 || Time: 0.3433 sec.\n",
      "===> Epoch[8](2580/5770): Loss: 595.8677 || Time: 0.3484 sec.\n",
      "===> Epoch[8](2600/5770): Loss: 148.8229 || Time: 0.3310 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 230.9377, Mean AP = 0.5241, Mean SSIM = 0.9562, Mean PSNR = 25.3215 || Time: 9.9907 sec.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> Epoch[8](2620/5770): Loss: 62.2811 || Time: 0.3310 sec.\n",
      "===> Epoch[8](2640/5770): Loss: 190.8068 || Time: 0.3311 sec.\n",
      "===> Epoch[8](2660/5770): Loss: 119.1223 || Time: 0.3325 sec.\n",
      "===> Epoch[8](2680/5770): Loss: 355.5656 || Time: 0.3354 sec.\n",
      "===> Epoch[8](2700/5770): Loss: 214.6726 || Time: 0.3440 sec.\n",
      "===> Epoch[8](2720/5770): Loss: 312.7612 || Time: 0.3320 sec.\n",
      "===> Epoch[8](2740/5770): Loss: 270.4204 || Time: 0.3403 sec.\n",
      "===> Epoch[8](2760/5770): Loss: 97.6423 || Time: 0.3391 sec.\n",
      "===> Epoch[8](2780/5770): Loss: 448.1375 || Time: 0.3372 sec.\n",
      "===> Epoch[8](2800/5770): Loss: 142.2421 || Time: 0.3317 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 244.7418, Mean AP = 0.5302, Mean SSIM = 0.9561, Mean PSNR = 25.3203 || Time: 10.0489 sec.\n",
      "===> Epoch[8](2820/5770): Loss: 221.0471 || Time: 0.3309 sec.\n",
      "===> Epoch[8](2840/5770): Loss: 84.5869 || Time: 0.3379 sec.\n",
      "===> Epoch[8](2860/5770): Loss: 154.0756 || Time: 0.3318 sec.\n",
      "===> Epoch[8](2880/5770): Loss: 298.7334 || Time: 0.3318 sec.\n",
      "===> Epoch[8](2900/5770): Loss: 828.4248 || Time: 0.3450 sec.\n",
      "===> Epoch[8](2920/5770): Loss: 316.6015 || Time: 0.3323 sec.\n",
      "===> Epoch[8](2940/5770): Loss: 544.1233 || Time: 0.3321 sec.\n",
      "===> Epoch[8](2960/5770): Loss: 265.8456 || Time: 0.3371 sec.\n",
      "===> Epoch[8](2980/5770): Loss: 255.4727 || Time: 0.3336 sec.\n",
      "===> Epoch[8](3000/5770): Loss: 204.0099 || Time: 0.3353 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 229.4926, Mean AP = 0.5224, Mean SSIM = 0.9564, Mean PSNR = 25.3340 || Time: 10.0952 sec.\n",
      "Saving state, iter: 3000\n",
      "===> Epoch[8](3020/5770): Loss: 315.3104 || Time: 0.3367 sec.\n",
      "===> Epoch[8](3040/5770): Loss: 208.5428 || Time: 0.3337 sec.\n",
      "===> Epoch[8](3060/5770): Loss: 391.8228 || Time: 0.3424 sec.\n",
      "===> Epoch[8](3080/5770): Loss: 264.5153 || Time: 0.3351 sec.\n",
      "===> Epoch[8](3100/5770): Loss: 317.8285 || Time: 0.3437 sec.\n",
      "===> Epoch[8](3120/5770): Loss: 77.1195 || Time: 0.3315 sec.\n",
      "===> Epoch[8](3140/5770): Loss: 133.2038 || Time: 0.3375 sec.\n",
      "===> Epoch[8](3160/5770): Loss: 147.5125 || Time: 0.3383 sec.\n",
      "===> Epoch[8](3180/5770): Loss: 335.4742 || Time: 0.3401 sec.\n",
      "===> Epoch[8](3200/5770): Loss: 245.3338 || Time: 0.3315 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 232.0593, Mean AP = 0.5246, Mean SSIM = 0.9555, Mean PSNR = 25.2988 || Time: 10.0161 sec.\n",
      "===> Epoch[8](3220/5770): Loss: 137.9500 || Time: 0.3298 sec.\n",
      "===> Epoch[8](3240/5770): Loss: 244.5653 || Time: 0.3349 sec.\n",
      "===> Epoch[8](3260/5770): Loss: 555.0218 || Time: 0.3314 sec.\n",
      "===> Epoch[8](3280/5770): Loss: 126.0639 || Time: 0.3308 sec.\n",
      "===> Epoch[8](3300/5770): Loss: 208.9448 || Time: 0.3353 sec.\n",
      "===> Epoch[8](3320/5770): Loss: 251.5665 || Time: 0.3316 sec.\n",
      "===> Epoch[8](3340/5770): Loss: 245.7747 || Time: 0.3365 sec.\n",
      "===> Epoch[8](3360/5770): Loss: 190.3684 || Time: 0.3359 sec.\n",
      "===> Epoch[8](3380/5770): Loss: 290.5450 || Time: 0.3587 sec.\n",
      "===> Epoch[8](3400/5770): Loss: 159.9970 || Time: 0.3356 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 227.3695, Mean AP = 0.5252, Mean SSIM = 0.9563, Mean PSNR = 25.3412 || Time: 10.0254 sec.\n",
      "===> Epoch[8](3420/5770): Loss: 297.5626 || Time: 0.3290 sec.\n",
      "===> Epoch[8](3440/5770): Loss: 249.6795 || Time: 0.3308 sec.\n",
      "===> Epoch[8](3460/5770): Loss: 67.2982 || Time: 0.3312 sec.\n",
      "===> Epoch[8](3480/5770): Loss: 50.5386 || Time: 0.3378 sec.\n",
      "===> Epoch[8](3500/5770): Loss: 161.8518 || Time: 0.3349 sec.\n",
      "===> Epoch[8](3520/5770): Loss: 257.0490 || Time: 0.3365 sec.\n",
      "===> Epoch[8](3540/5770): Loss: 57.7067 || Time: 0.3426 sec.\n",
      "===> Epoch[8](3560/5770): Loss: 125.3650 || Time: 0.3349 sec.\n",
      "===> Epoch[8](3580/5770): Loss: 196.0637 || Time: 0.3414 sec.\n",
      "===> Epoch[8](3600/5770): Loss: 144.8906 || Time: 0.3353 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 217.8925, Mean AP = 0.5756, Mean SSIM = 0.9563, Mean PSNR = 25.3337 || Time: 10.0353 sec.\n",
      "===> Epoch[8](3620/5770): Loss: 271.5876 || Time: 0.3450 sec.\n",
      "===> Epoch[8](3640/5770): Loss: 164.2118 || Time: 0.3471 sec.\n",
      "===> Epoch[8](3660/5770): Loss: 146.8211 || Time: 0.3292 sec.\n",
      "===> Epoch[8](3680/5770): Loss: 374.3569 || Time: 0.3326 sec.\n",
      "===> Epoch[8](3700/5770): Loss: 135.4530 || Time: 0.3355 sec.\n",
      "===> Epoch[8](3720/5770): Loss: 553.3201 || Time: 0.3314 sec.\n",
      "===> Epoch[8](3740/5770): Loss: 266.8369 || Time: 0.3437 sec.\n",
      "===> Epoch[8](3760/5770): Loss: 120.2069 || Time: 0.3453 sec.\n",
      "===> Epoch[8](3780/5770): Loss: 228.9218 || Time: 0.3346 sec.\n",
      "===> Epoch[8](3800/5770): Loss: 63.8785 || Time: 0.3370 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 219.7154, Mean AP = 0.5179, Mean SSIM = 0.9561, Mean PSNR = 25.2239 || Time: 10.0204 sec.\n",
      "===> Epoch[8](3820/5770): Loss: 94.7482 || Time: 0.3299 sec.\n",
      "===> Epoch[8](3840/5770): Loss: 139.7886 || Time: 0.3384 sec.\n",
      "===> Epoch[8](3860/5770): Loss: 117.7165 || Time: 0.3419 sec.\n",
      "===> Epoch[8](3880/5770): Loss: 137.1912 || Time: 0.3399 sec.\n",
      "===> Epoch[8](3900/5770): Loss: 239.2990 || Time: 0.3571 sec.\n",
      "===> Epoch[8](3920/5770): Loss: 139.7243 || Time: 0.3475 sec.\n",
      "===> Epoch[8](3940/5770): Loss: 61.3970 || Time: 0.3328 sec.\n",
      "===> Epoch[8](3960/5770): Loss: 255.6880 || Time: 0.3440 sec.\n",
      "===> Epoch[8](3980/5770): Loss: 297.8364 || Time: 0.3365 sec.\n",
      "===> Epoch[8](4000/5770): Loss: 224.6291 || Time: 0.3301 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 225.1041, Mean AP = 0.5240, Mean SSIM = 0.9562, Mean PSNR = 25.3390 || Time: 10.0386 sec.\n",
      "Saving state, iter: 4000\n",
      "===> Epoch[8](4020/5770): Loss: 62.4078 || Time: 0.3310 sec.\n",
      "===> Epoch[8](4040/5770): Loss: 300.6776 || Time: 0.3359 sec.\n",
      "===> Epoch[8](4060/5770): Loss: 114.2037 || Time: 0.3512 sec.\n",
      "===> Epoch[8](4080/5770): Loss: 231.9773 || Time: 0.3368 sec.\n",
      "===> Epoch[8](4100/5770): Loss: 74.4816 || Time: 0.3342 sec.\n",
      "===> Epoch[8](4120/5770): Loss: 237.9164 || Time: 0.3306 sec.\n",
      "===> Epoch[8](4140/5770): Loss: 115.7766 || Time: 0.3431 sec.\n",
      "===> Epoch[8](4160/5770): Loss: 104.1279 || Time: 0.3345 sec.\n",
      "===> Epoch[8](4180/5770): Loss: 221.0680 || Time: 0.3374 sec.\n",
      "===> Epoch[8](4200/5770): Loss: 261.6599 || Time: 0.3408 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 210.5542, Mean AP = 0.5245, Mean SSIM = 0.9566, Mean PSNR = 25.3443 || Time: 10.0124 sec.\n",
      "===> Epoch[8](4220/5770): Loss: 289.4955 || Time: 0.3292 sec.\n",
      "===> Epoch[8](4240/5770): Loss: 156.7200 || Time: 0.3340 sec.\n",
      "===> Epoch[8](4260/5770): Loss: 220.6053 || Time: 0.3425 sec.\n",
      "===> Epoch[8](4280/5770): Loss: 68.4194 || Time: 0.3354 sec.\n",
      "===> Epoch[8](4300/5770): Loss: 210.0724 || Time: 0.3466 sec.\n",
      "===> Epoch[8](4320/5770): Loss: 349.4742 || Time: 0.3431 sec.\n",
      "===> Epoch[8](4340/5770): Loss: 480.6627 || Time: 0.3292 sec.\n",
      "===> Epoch[8](4360/5770): Loss: 138.6907 || Time: 0.3386 sec.\n",
      "===> Epoch[8](4380/5770): Loss: 80.4513 || Time: 0.3409 sec.\n",
      "===> Epoch[8](4400/5770): Loss: 553.2773 || Time: 0.3365 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 218.6021, Mean AP = 0.5270, Mean SSIM = 0.9563, Mean PSNR = 25.3334 || Time: 10.1319 sec.\n",
      "===> Epoch[8](4420/5770): Loss: 39.1120 || Time: 0.3344 sec.\n",
      "===> Epoch[8](4440/5770): Loss: 110.1134 || Time: 0.3320 sec.\n",
      "===> Epoch[8](4460/5770): Loss: 78.3115 || Time: 0.3326 sec.\n",
      "===> Epoch[8](4480/5770): Loss: 209.8884 || Time: 0.3387 sec.\n",
      "===> Epoch[8](4500/5770): Loss: 237.9281 || Time: 0.3520 sec.\n",
      "===> Epoch[8](4520/5770): Loss: 281.5323 || Time: 0.3309 sec.\n",
      "===> Epoch[8](4540/5770): Loss: 573.3148 || Time: 0.3340 sec.\n",
      "===> Epoch[8](4560/5770): Loss: 268.6330 || Time: 0.3325 sec.\n",
      "===> Epoch[8](4580/5770): Loss: 245.8409 || Time: 0.3317 sec.\n",
      "===> Epoch[8](4600/5770): Loss: 303.3330 || Time: 0.3322 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 234.8380, Mean AP = 0.5256, Mean SSIM = 0.9563, Mean PSNR = 25.3175 || Time: 9.9712 sec.\n",
      "===> Epoch[8](4620/5770): Loss: 280.8708 || Time: 0.3338 sec.\n",
      "===> Epoch[8](4640/5770): Loss: 343.4794 || Time: 0.3352 sec.\n",
      "===> Epoch[8](4660/5770): Loss: 42.8165 || Time: 0.3326 sec.\n",
      "===> Epoch[8](4680/5770): Loss: 122.3938 || Time: 0.3305 sec.\n",
      "===> Epoch[8](4700/5770): Loss: 255.5092 || Time: 0.3413 sec.\n",
      "===> Epoch[8](4720/5770): Loss: 148.1267 || Time: 0.3456 sec.\n",
      "===> Epoch[8](4740/5770): Loss: 113.9603 || Time: 0.3312 sec.\n",
      "===> Epoch[8](4760/5770): Loss: 220.3554 || Time: 0.3365 sec.\n",
      "===> Epoch[8](4780/5770): Loss: 121.5247 || Time: 0.3322 sec.\n",
      "===> Epoch[8](4800/5770): Loss: 257.3607 || Time: 0.3325 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 220.0207, Mean AP = 0.5254, Mean SSIM = 0.9526, Mean PSNR = 24.9316 || Time: 10.0936 sec.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> Epoch[8](4820/5770): Loss: 53.3886 || Time: 0.3366 sec.\n",
      "===> Epoch[8](4840/5770): Loss: 298.4493 || Time: 0.3331 sec.\n",
      "===> Epoch[8](4860/5770): Loss: 354.6738 || Time: 0.3429 sec.\n",
      "===> Epoch[8](4880/5770): Loss: 445.3842 || Time: 0.3471 sec.\n",
      "===> Epoch[8](4900/5770): Loss: 244.1002 || Time: 0.3322 sec.\n",
      "===> Epoch[8](4920/5770): Loss: 103.0098 || Time: 0.3321 sec.\n",
      "===> Epoch[8](4940/5770): Loss: 136.7861 || Time: 0.3343 sec.\n",
      "===> Epoch[8](4960/5770): Loss: 201.7181 || Time: 0.3335 sec.\n",
      "===> Epoch[8](4980/5770): Loss: 224.7823 || Time: 0.3375 sec.\n",
      "===> Epoch[8](5000/5770): Loss: 140.2535 || Time: 0.3343 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 239.7048, Mean AP = 0.5762, Mean SSIM = 0.9561, Mean PSNR = 25.2915 || Time: 10.0222 sec.\n",
      "Saving state, iter: 5000\n",
      "===> Epoch[8](5020/5770): Loss: 308.9082 || Time: 0.3311 sec.\n",
      "===> Epoch[8](5040/5770): Loss: 79.5434 || Time: 0.3339 sec.\n",
      "===> Epoch[8](5060/5770): Loss: 136.3982 || Time: 0.3405 sec.\n",
      "===> Epoch[8](5080/5770): Loss: 222.5702 || Time: 0.3429 sec.\n",
      "===> Epoch[8](5100/5770): Loss: 634.3505 || Time: 0.3360 sec.\n",
      "===> Epoch[8](5120/5770): Loss: 67.8216 || Time: 0.3348 sec.\n",
      "===> Epoch[8](5140/5770): Loss: 302.6659 || Time: 0.3318 sec.\n",
      "===> Epoch[8](5160/5770): Loss: 66.8002 || Time: 0.3637 sec.\n",
      "===> Epoch[8](5180/5770): Loss: 328.6445 || Time: 0.3311 sec.\n",
      "===> Epoch[8](5200/5770): Loss: 102.3161 || Time: 0.3302 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 236.3214, Mean AP = 0.5753, Mean SSIM = 0.9564, Mean PSNR = 25.3313 || Time: 10.1671 sec.\n",
      "===> Epoch[8](5220/5770): Loss: 99.3224 || Time: 0.3399 sec.\n",
      "===> Epoch[8](5240/5770): Loss: 198.1349 || Time: 0.3647 sec.\n",
      "===> Epoch[8](5260/5770): Loss: 230.6553 || Time: 0.3428 sec.\n",
      "===> Epoch[8](5280/5770): Loss: 234.8764 || Time: 0.3304 sec.\n",
      "===> Epoch[8](5300/5770): Loss: 132.1511 || Time: 0.3484 sec.\n",
      "===> Epoch[8](5320/5770): Loss: 302.6315 || Time: 0.3374 sec.\n",
      "===> Epoch[8](5340/5770): Loss: 146.9070 || Time: 0.3386 sec.\n",
      "===> Epoch[8](5360/5770): Loss: 46.5542 || Time: 0.3522 sec.\n",
      "===> Epoch[8](5380/5770): Loss: 183.8133 || Time: 0.3551 sec.\n",
      "===> Epoch[8](5400/5770): Loss: 119.6147 || Time: 0.3658 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 237.7285, Mean AP = 0.5763, Mean SSIM = 0.9562, Mean PSNR = 24.8254 || Time: 10.1121 sec.\n",
      "===> Epoch[8](5420/5770): Loss: 198.5968 || Time: 0.3331 sec.\n",
      "===> Epoch[8](5440/5770): Loss: 312.3978 || Time: 0.3287 sec.\n",
      "===> Epoch[8](5460/5770): Loss: 40.8292 || Time: 0.3300 sec.\n",
      "===> Epoch[8](5480/5770): Loss: 190.0940 || Time: 0.3398 sec.\n",
      "===> Epoch[8](5500/5770): Loss: 450.7488 || Time: 0.3298 sec.\n",
      "===> Epoch[8](5520/5770): Loss: 242.5243 || Time: 0.3355 sec.\n",
      "===> Epoch[8](5540/5770): Loss: 396.7995 || Time: 0.3403 sec.\n",
      "===> Epoch[8](5560/5770): Loss: 131.4529 || Time: 0.3420 sec.\n",
      "===> Epoch[8](5580/5770): Loss: 129.9908 || Time: 0.3428 sec.\n",
      "===> Epoch[8](5600/5770): Loss: 340.9237 || Time: 0.3358 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 221.4955, Mean AP = 0.5264, Mean SSIM = 0.9566, Mean PSNR = 25.3453 || Time: 10.0688 sec.\n",
      "===> Epoch 8 Complete: Avg. Loss: 114.5336 || Time: 2179.1227 sec.\n",
      "===> Epoch[9](20/5770): Loss: 147.4943 || Time: 0.3306 sec.\n",
      "===> Epoch[9](40/5770): Loss: 93.5075 || Time: 0.3319 sec.\n",
      "===> Epoch[9](60/5770): Loss: 252.9950 || Time: 0.3384 sec.\n",
      "===> Epoch[9](80/5770): Loss: 120.3011 || Time: 0.3320 sec.\n",
      "===> Epoch[9](100/5770): Loss: 345.5705 || Time: 0.3309 sec.\n",
      "===> Epoch[9](120/5770): Loss: 116.5410 || Time: 0.3362 sec.\n",
      "===> Epoch[9](140/5770): Loss: 370.0645 || Time: 0.3561 sec.\n",
      "===> Epoch[9](160/5770): Loss: 254.1321 || Time: 0.3317 sec.\n",
      "===> Epoch[9](180/5770): Loss: 359.0064 || Time: 0.3351 sec.\n",
      "===> Epoch[9](200/5770): Loss: 231.3860 || Time: 0.3473 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 207.1929, Mean AP = 0.5293, Mean SSIM = 0.9565, Mean PSNR = 25.3386 || Time: 10.0920 sec.\n",
      "===> Epoch[9](220/5770): Loss: 89.1249 || Time: 0.3297 sec.\n",
      "===> Epoch[9](240/5770): Loss: 246.2986 || Time: 0.3326 sec.\n",
      "===> Epoch[9](260/5770): Loss: 190.3415 || Time: 0.3448 sec.\n",
      "===> Epoch[9](280/5770): Loss: 133.9636 || Time: 0.3367 sec.\n",
      "===> Epoch[9](300/5770): Loss: 148.9140 || Time: 0.3319 sec.\n",
      "===> Epoch[9](320/5770): Loss: 155.5874 || Time: 0.3352 sec.\n",
      "===> Epoch[9](340/5770): Loss: 166.4782 || Time: 0.3320 sec.\n",
      "===> Epoch[9](360/5770): Loss: 214.7906 || Time: 0.3583 sec.\n",
      "===> Epoch[9](380/5770): Loss: 179.8223 || Time: 0.3414 sec.\n",
      "===> Epoch[9](400/5770): Loss: 293.1798 || Time: 0.3365 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 212.5998, Mean AP = 0.5256, Mean SSIM = 0.9567, Mean PSNR = 25.3569 || Time: 9.9957 sec.\n",
      "===> Epoch[9](420/5770): Loss: 88.9630 || Time: 0.3308 sec.\n",
      "===> Epoch[9](440/5770): Loss: 436.3402 || Time: 0.3392 sec.\n",
      "===> Epoch[9](460/5770): Loss: 181.5104 || Time: 0.3343 sec.\n",
      "===> Epoch[9](480/5770): Loss: 59.6237 || Time: 0.3368 sec.\n",
      "===> Epoch[9](500/5770): Loss: 74.2434 || Time: 0.3612 sec.\n",
      "===> Epoch[9](520/5770): Loss: 222.8749 || Time: 0.3306 sec.\n",
      "===> Epoch[9](540/5770): Loss: 274.6401 || Time: 0.3407 sec.\n",
      "===> Epoch[9](560/5770): Loss: 216.0045 || Time: 0.3347 sec.\n",
      "===> Epoch[9](580/5770): Loss: 249.4778 || Time: 0.3389 sec.\n",
      "===> Epoch[9](600/5770): Loss: 48.5742 || Time: 0.3373 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 217.2603, Mean AP = 0.5728, Mean SSIM = 0.9568, Mean PSNR = 25.3496 || Time: 10.0860 sec.\n",
      "===> Epoch[9](620/5770): Loss: 123.3597 || Time: 0.3333 sec.\n",
      "===> Epoch[9](640/5770): Loss: 205.8980 || Time: 0.3306 sec.\n",
      "===> Epoch[9](660/5770): Loss: 120.1920 || Time: 0.3397 sec.\n",
      "===> Epoch[9](680/5770): Loss: 193.5120 || Time: 0.3350 sec.\n",
      "===> Epoch[9](700/5770): Loss: 270.0544 || Time: 0.3351 sec.\n",
      "===> Epoch[9](720/5770): Loss: 96.3265 || Time: 0.3443 sec.\n",
      "===> Epoch[9](740/5770): Loss: 368.8479 || Time: 0.3408 sec.\n",
      "===> Epoch[9](760/5770): Loss: 303.8353 || Time: 0.3353 sec.\n",
      "===> Epoch[9](780/5770): Loss: 436.2355 || Time: 0.3633 sec.\n",
      "===> Epoch[9](800/5770): Loss: 158.3768 || Time: 0.3629 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 225.9143, Mean AP = 0.5268, Mean SSIM = 0.9565, Mean PSNR = 25.2872 || Time: 10.0023 sec.\n",
      "===> Epoch[9](820/5770): Loss: 310.3321 || Time: 0.3301 sec.\n",
      "===> Epoch[9](840/5770): Loss: 302.7471 || Time: 0.3450 sec.\n",
      "===> Epoch[9](860/5770): Loss: 264.0594 || Time: 0.3364 sec.\n",
      "===> Epoch[9](880/5770): Loss: 153.1812 || Time: 0.3448 sec.\n",
      "===> Epoch[9](900/5770): Loss: 340.3845 || Time: 0.3332 sec.\n",
      "===> Epoch[9](920/5770): Loss: 162.5721 || Time: 0.3368 sec.\n",
      "===> Epoch[9](940/5770): Loss: 309.5125 || Time: 0.3375 sec.\n",
      "===> Epoch[9](960/5770): Loss: 89.8086 || Time: 0.3320 sec.\n",
      "===> Epoch[9](980/5770): Loss: 282.5964 || Time: 0.3390 sec.\n",
      "===> Epoch[9](1000/5770): Loss: 90.1774 || Time: 0.3534 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 219.0020, Mean AP = 0.5721, Mean SSIM = 0.9566, Mean PSNR = 25.3582 || Time: 10.0877 sec.\n",
      "Saving state, iter: 1000\n",
      "===> Epoch[9](1020/5770): Loss: 256.1825 || Time: 0.3302 sec.\n",
      "===> Epoch[9](1040/5770): Loss: 256.8668 || Time: 0.3335 sec.\n",
      "===> Epoch[9](1060/5770): Loss: 126.7854 || Time: 0.3467 sec.\n",
      "===> Epoch[9](1080/5770): Loss: 601.1364 || Time: 0.3549 sec.\n",
      "===> Epoch[9](1100/5770): Loss: 325.5938 || Time: 0.3369 sec.\n",
      "===> Epoch[9](1120/5770): Loss: 287.9867 || Time: 0.3321 sec.\n",
      "===> Epoch[9](1140/5770): Loss: 111.0233 || Time: 0.3397 sec.\n",
      "===> Epoch[9](1160/5770): Loss: 229.4718 || Time: 0.3394 sec.\n",
      "===> Epoch[9](1180/5770): Loss: 122.3207 || Time: 0.3501 sec.\n",
      "===> Epoch[9](1200/5770): Loss: 148.5456 || Time: 0.3447 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 228.2969, Mean AP = 0.5719, Mean SSIM = 0.9565, Mean PSNR = 25.3381 || Time: 10.0366 sec.\n",
      "===> Epoch[9](1220/5770): Loss: 318.9781 || Time: 0.3316 sec.\n",
      "===> Epoch[9](1240/5770): Loss: 303.0768 || Time: 0.3365 sec.\n",
      "===> Epoch[9](1260/5770): Loss: 559.2545 || Time: 0.3317 sec.\n",
      "===> Epoch[9](1280/5770): Loss: 263.6818 || Time: 0.3321 sec.\n",
      "===> Epoch[9](1300/5770): Loss: 117.3527 || Time: 0.3520 sec.\n",
      "===> Epoch[9](1320/5770): Loss: 416.7118 || Time: 0.3341 sec.\n",
      "===> Epoch[9](1340/5770): Loss: 163.5139 || Time: 0.3362 sec.\n",
      "===> Epoch[9](1360/5770): Loss: 130.3331 || Time: 0.3324 sec.\n",
      "===> Epoch[9](1380/5770): Loss: 146.8201 || Time: 0.3351 sec.\n",
      "===> Epoch[9](1400/5770): Loss: 230.5253 || Time: 0.3356 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 237.7915, Mean AP = 0.5744, Mean SSIM = 0.9565, Mean PSNR = 25.3626 || Time: 10.0717 sec.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> Epoch[9](1420/5770): Loss: 244.3275 || Time: 0.3298 sec.\n",
      "===> Epoch[9](1440/5770): Loss: 236.2635 || Time: 0.3331 sec.\n",
      "===> Epoch[9](1460/5770): Loss: 254.6613 || Time: 0.3456 sec.\n",
      "===> Epoch[9](1480/5770): Loss: 192.6400 || Time: 0.3325 sec.\n",
      "===> Epoch[9](1500/5770): Loss: 308.6697 || Time: 0.3373 sec.\n",
      "===> Epoch[9](1520/5770): Loss: 168.5012 || Time: 0.3430 sec.\n",
      "===> Epoch[9](1540/5770): Loss: 231.1829 || Time: 0.3571 sec.\n",
      "===> Epoch[9](1560/5770): Loss: 323.8703 || Time: 0.3358 sec.\n",
      "===> Epoch[9](1580/5770): Loss: 93.7662 || Time: 0.3470 sec.\n",
      "===> Epoch[9](1600/5770): Loss: 72.6502 || Time: 0.3318 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 239.2802, Mean AP = 0.5252, Mean SSIM = 0.9564, Mean PSNR = 25.3322 || Time: 10.0504 sec.\n",
      "===> Epoch[9](1620/5770): Loss: 349.5121 || Time: 0.3305 sec.\n",
      "===> Epoch[9](1640/5770): Loss: 360.0672 || Time: 0.3327 sec.\n",
      "===> Epoch[9](1660/5770): Loss: 113.8724 || Time: 0.3355 sec.\n",
      "===> Epoch[9](1680/5770): Loss: 145.7212 || Time: 0.3397 sec.\n",
      "===> Epoch[9](1700/5770): Loss: 322.5218 || Time: 0.3352 sec.\n",
      "===> Epoch[9](1720/5770): Loss: 145.3216 || Time: 0.3351 sec.\n",
      "===> Epoch[9](1740/5770): Loss: 516.2336 || Time: 0.3319 sec.\n",
      "===> Epoch[9](1760/5770): Loss: 255.6818 || Time: 0.3327 sec.\n",
      "===> Epoch[9](1780/5770): Loss: 264.5344 || Time: 0.3380 sec.\n",
      "===> Epoch[9](1800/5770): Loss: 95.4453 || Time: 0.3343 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 225.0154, Mean AP = 0.5257, Mean SSIM = 0.9563, Mean PSNR = 25.3528 || Time: 10.1284 sec.\n",
      "===> Epoch[9](1820/5770): Loss: 135.2556 || Time: 0.3300 sec.\n",
      "===> Epoch[9](1840/5770): Loss: 457.8694 || Time: 0.3306 sec.\n",
      "===> Epoch[9](1860/5770): Loss: 285.2654 || Time: 0.3328 sec.\n",
      "===> Epoch[9](1880/5770): Loss: 170.7263 || Time: 0.3420 sec.\n",
      "===> Epoch[9](1900/5770): Loss: 148.0304 || Time: 0.3419 sec.\n",
      "===> Epoch[9](1920/5770): Loss: 305.1814 || Time: 0.3302 sec.\n",
      "===> Epoch[9](1940/5770): Loss: 119.7750 || Time: 0.3376 sec.\n",
      "===> Epoch[9](1960/5770): Loss: 157.1085 || Time: 0.3606 sec.\n",
      "===> Epoch[9](1980/5770): Loss: 244.3100 || Time: 0.3391 sec.\n",
      "===> Epoch[9](2000/5770): Loss: 226.4066 || Time: 0.3422 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 227.7145, Mean AP = 0.5274, Mean SSIM = 0.9563, Mean PSNR = 25.2744 || Time: 10.1501 sec.\n",
      "Saving state, iter: 2000\n",
      "===> Epoch[9](2020/5770): Loss: 133.2581 || Time: 0.3323 sec.\n",
      "===> Epoch[9](2040/5770): Loss: 429.0287 || Time: 0.3327 sec.\n",
      "===> Epoch[9](2060/5770): Loss: 172.4686 || Time: 0.3307 sec.\n",
      "===> Epoch[9](2080/5770): Loss: 111.0570 || Time: 0.3345 sec.\n",
      "===> Epoch[9](2100/5770): Loss: 188.0670 || Time: 0.3491 sec.\n",
      "===> Epoch[9](2120/5770): Loss: 120.9527 || Time: 0.3343 sec.\n",
      "===> Epoch[9](2140/5770): Loss: 241.5370 || Time: 0.3365 sec.\n",
      "===> Epoch[9](2160/5770): Loss: 278.6923 || Time: 0.3325 sec.\n",
      "===> Epoch[9](2180/5770): Loss: 275.1360 || Time: 0.3433 sec.\n",
      "===> Epoch[9](2200/5770): Loss: 362.9278 || Time: 0.3324 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 233.2019, Mean AP = 0.5208, Mean SSIM = 0.9566, Mean PSNR = 25.3658 || Time: 9.9992 sec.\n",
      "===> Epoch[9](2220/5770): Loss: 105.1905 || Time: 0.3320 sec.\n",
      "===> Epoch[9](2240/5770): Loss: 186.8701 || Time: 0.3340 sec.\n",
      "===> Epoch[9](2260/5770): Loss: 124.2784 || Time: 0.3392 sec.\n",
      "===> Epoch[9](2280/5770): Loss: 455.3194 || Time: 0.3341 sec.\n",
      "===> Epoch[9](2300/5770): Loss: 304.0345 || Time: 0.3365 sec.\n",
      "===> Epoch[9](2320/5770): Loss: 108.3341 || Time: 0.3346 sec.\n",
      "===> Epoch[9](2340/5770): Loss: 513.1606 || Time: 0.3587 sec.\n",
      "===> Epoch[9](2360/5770): Loss: 137.3493 || Time: 0.3339 sec.\n",
      "===> Epoch[9](2380/5770): Loss: 336.1397 || Time: 0.3331 sec.\n",
      "===> Epoch[9](2400/5770): Loss: 152.8237 || Time: 0.3413 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 256.8409, Mean AP = 0.5227, Mean SSIM = 0.9568, Mean PSNR = 25.3824 || Time: 10.0464 sec.\n",
      "===> Epoch[9](2420/5770): Loss: 118.7225 || Time: 0.3288 sec.\n",
      "===> Epoch[9](2440/5770): Loss: 485.2465 || Time: 0.3324 sec.\n",
      "===> Epoch[9](2460/5770): Loss: 81.8799 || Time: 0.3422 sec.\n",
      "===> Epoch[9](2480/5770): Loss: 437.0529 || Time: 0.3523 sec.\n",
      "===> Epoch[9](2500/5770): Loss: 157.7559 || Time: 0.3324 sec.\n",
      "===> Epoch[9](2520/5770): Loss: 307.3530 || Time: 0.3369 sec.\n",
      "===> Epoch[9](2540/5770): Loss: 375.1596 || Time: 0.3374 sec.\n",
      "===> Epoch[9](2560/5770): Loss: 483.2367 || Time: 0.3405 sec.\n",
      "===> Epoch[9](2580/5770): Loss: 593.1632 || Time: 0.3449 sec.\n",
      "===> Epoch[9](2600/5770): Loss: 145.9610 || Time: 0.3440 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 229.9660, Mean AP = 0.5220, Mean SSIM = 0.9565, Mean PSNR = 25.3351 || Time: 10.0327 sec.\n",
      "===> Epoch[9](2620/5770): Loss: 62.3908 || Time: 0.3316 sec.\n",
      "===> Epoch[9](2640/5770): Loss: 190.0418 || Time: 0.3288 sec.\n",
      "===> Epoch[9](2660/5770): Loss: 118.9792 || Time: 0.3356 sec.\n",
      "===> Epoch[9](2680/5770): Loss: 356.7308 || Time: 0.3325 sec.\n",
      "===> Epoch[9](2700/5770): Loss: 212.6840 || Time: 0.3320 sec.\n",
      "===> Epoch[9](2720/5770): Loss: 310.4877 || Time: 0.3321 sec.\n",
      "===> Epoch[9](2740/5770): Loss: 268.3204 || Time: 0.3502 sec.\n",
      "===> Epoch[9](2760/5770): Loss: 99.4666 || Time: 0.3391 sec.\n",
      "===> Epoch[9](2780/5770): Loss: 447.0621 || Time: 0.3353 sec.\n",
      "===> Epoch[9](2800/5770): Loss: 140.6773 || Time: 0.3291 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 243.7326, Mean AP = 0.5353, Mean SSIM = 0.9565, Mean PSNR = 25.3482 || Time: 10.0787 sec.\n",
      "===> Epoch[9](2820/5770): Loss: 221.3589 || Time: 0.3328 sec.\n",
      "===> Epoch[9](2840/5770): Loss: 83.6128 || Time: 0.3401 sec.\n",
      "===> Epoch[9](2860/5770): Loss: 152.0765 || Time: 0.3337 sec.\n",
      "===> Epoch[9](2880/5770): Loss: 299.6581 || Time: 0.3352 sec.\n",
      "===> Epoch[9](2900/5770): Loss: 823.7310 || Time: 0.3322 sec.\n",
      "===> Epoch[9](2920/5770): Loss: 316.6187 || Time: 0.3328 sec.\n",
      "===> Epoch[9](2940/5770): Loss: 522.1879 || Time: 0.3354 sec.\n",
      "===> Epoch[9](2960/5770): Loss: 262.1884 || Time: 0.3545 sec.\n",
      "===> Epoch[9](2980/5770): Loss: 252.2953 || Time: 0.3415 sec.\n",
      "===> Epoch[9](3000/5770): Loss: 201.7309 || Time: 0.3375 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 227.1885, Mean AP = 0.5256, Mean SSIM = 0.9565, Mean PSNR = 25.3460 || Time: 10.0790 sec.\n",
      "Saving state, iter: 3000\n",
      "===> Epoch[9](3020/5770): Loss: 312.7718 || Time: 0.3310 sec.\n",
      "===> Epoch[9](3040/5770): Loss: 205.4068 || Time: 0.3335 sec.\n",
      "===> Epoch[9](3060/5770): Loss: 388.3558 || Time: 0.3373 sec.\n",
      "===> Epoch[9](3080/5770): Loss: 263.2058 || Time: 0.3361 sec.\n",
      "===> Epoch[9](3100/5770): Loss: 305.9369 || Time: 0.3307 sec.\n",
      "===> Epoch[9](3120/5770): Loss: 76.4049 || Time: 0.3504 sec.\n",
      "===> Epoch[9](3140/5770): Loss: 131.7963 || Time: 0.3432 sec.\n",
      "===> Epoch[9](3160/5770): Loss: 146.6497 || Time: 0.3344 sec.\n",
      "===> Epoch[9](3180/5770): Loss: 332.9870 || Time: 0.3412 sec.\n",
      "===> Epoch[9](3200/5770): Loss: 241.0338 || Time: 0.3353 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 229.6297, Mean AP = 0.5268, Mean SSIM = 0.9567, Mean PSNR = 25.3652 || Time: 10.0100 sec.\n",
      "===> Epoch[9](3220/5770): Loss: 136.3827 || Time: 0.3295 sec.\n",
      "===> Epoch[9](3240/5770): Loss: 244.4251 || Time: 0.3300 sec.\n",
      "===> Epoch[9](3260/5770): Loss: 550.9572 || Time: 0.3361 sec.\n",
      "===> Epoch[9](3280/5770): Loss: 125.2978 || Time: 0.3310 sec.\n",
      "===> Epoch[9](3300/5770): Loss: 208.6366 || Time: 0.3417 sec.\n",
      "===> Epoch[9](3320/5770): Loss: 247.7260 || Time: 0.3416 sec.\n",
      "===> Epoch[9](3340/5770): Loss: 243.5069 || Time: 0.3379 sec.\n",
      "===> Epoch[9](3360/5770): Loss: 188.0618 || Time: 0.3412 sec.\n",
      "===> Epoch[9](3380/5770): Loss: 288.0409 || Time: 0.3424 sec.\n",
      "===> Epoch[9](3400/5770): Loss: 153.8496 || Time: 0.3455 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 225.2488, Mean AP = 0.5289, Mean SSIM = 0.9565, Mean PSNR = 25.3557 || Time: 10.0389 sec.\n",
      "===> Epoch[9](3420/5770): Loss: 297.0217 || Time: 0.3317 sec.\n",
      "===> Epoch[9](3440/5770): Loss: 247.5472 || Time: 0.3325 sec.\n",
      "===> Epoch[9](3460/5770): Loss: 66.7185 || Time: 0.3381 sec.\n",
      "===> Epoch[9](3480/5770): Loss: 50.6375 || Time: 0.3329 sec.\n",
      "===> Epoch[9](3500/5770): Loss: 159.0014 || Time: 0.3338 sec.\n",
      "===> Epoch[9](3520/5770): Loss: 253.9051 || Time: 0.3336 sec.\n",
      "===> Epoch[9](3540/5770): Loss: 56.9070 || Time: 0.3310 sec.\n",
      "===> Epoch[9](3560/5770): Loss: 125.0682 || Time: 0.3382 sec.\n",
      "===> Epoch[9](3580/5770): Loss: 193.3227 || Time: 0.3307 sec.\n",
      "===> Epoch[9](3600/5770): Loss: 145.0706 || Time: 0.3379 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 215.7453, Mean AP = 0.5741, Mean SSIM = 0.9566, Mean PSNR = 25.3613 || Time: 10.0395 sec.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> Epoch[9](3620/5770): Loss: 265.9482 || Time: 0.3316 sec.\n",
      "===> Epoch[9](3640/5770): Loss: 161.4397 || Time: 0.3385 sec.\n",
      "===> Epoch[9](3660/5770): Loss: 146.1237 || Time: 0.3413 sec.\n",
      "===> Epoch[9](3680/5770): Loss: 373.4827 || Time: 0.3330 sec.\n",
      "===> Epoch[9](3700/5770): Loss: 133.3962 || Time: 0.3537 sec.\n",
      "===> Epoch[9](3720/5770): Loss: 544.2864 || Time: 0.3366 sec.\n",
      "===> Epoch[9](3740/5770): Loss: 264.4088 || Time: 0.3351 sec.\n",
      "===> Epoch[9](3760/5770): Loss: 120.4757 || Time: 0.3362 sec.\n",
      "===> Epoch[9](3780/5770): Loss: 227.4681 || Time: 0.3537 sec.\n",
      "===> Epoch[9](3800/5770): Loss: 79.8830 || Time: 0.3566 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 218.5436, Mean AP = 0.5787, Mean SSIM = 0.9566, Mean PSNR = 25.2771 || Time: 9.8931 sec.\n",
      "===> Epoch[9](3820/5770): Loss: 90.6410 || Time: 0.3285 sec.\n",
      "===> Epoch[9](3840/5770): Loss: 135.1626 || Time: 0.3316 sec.\n",
      "===> Epoch[9](3860/5770): Loss: 114.8005 || Time: 0.3366 sec.\n",
      "===> Epoch[9](3880/5770): Loss: 133.6569 || Time: 0.3306 sec.\n",
      "===> Epoch[9](3900/5770): Loss: 232.5491 || Time: 0.3333 sec.\n",
      "===> Epoch[9](3920/5770): Loss: 133.2647 || Time: 0.3511 sec.\n",
      "===> Epoch[9](3940/5770): Loss: 60.6377 || Time: 0.3312 sec.\n",
      "===> Epoch[9](3960/5770): Loss: 246.9043 || Time: 0.3428 sec.\n",
      "===> Epoch[9](3980/5770): Loss: 294.6550 || Time: 0.3330 sec.\n",
      "===> Epoch[9](4000/5770): Loss: 223.1312 || Time: 0.3510 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 221.1091, Mean AP = 0.5282, Mean SSIM = 0.9564, Mean PSNR = 25.3695 || Time: 10.0523 sec.\n",
      "Saving state, iter: 4000\n",
      "===> Epoch[9](4020/5770): Loss: 60.6784 || Time: 0.3305 sec.\n",
      "===> Epoch[9](4040/5770): Loss: 295.4624 || Time: 0.3303 sec.\n",
      "===> Epoch[9](4060/5770): Loss: 112.8913 || Time: 0.3319 sec.\n",
      "===> Epoch[9](4080/5770): Loss: 230.4726 || Time: 0.3409 sec.\n",
      "===> Epoch[9](4100/5770): Loss: 73.5079 || Time: 0.3304 sec.\n",
      "===> Epoch[9](4120/5770): Loss: 236.1804 || Time: 0.3323 sec.\n",
      "===> Epoch[9](4140/5770): Loss: 114.8008 || Time: 0.3338 sec.\n",
      "===> Epoch[9](4160/5770): Loss: 104.2330 || Time: 0.3567 sec.\n",
      "===> Epoch[9](4180/5770): Loss: 220.1373 || Time: 0.3397 sec.\n",
      "===> Epoch[9](4200/5770): Loss: 260.4975 || Time: 0.3315 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 208.6608, Mean AP = 0.5257, Mean SSIM = 0.9569, Mean PSNR = 25.3742 || Time: 10.0394 sec.\n",
      "===> Epoch[9](4220/5770): Loss: 291.2638 || Time: 0.3298 sec.\n",
      "===> Epoch[9](4240/5770): Loss: 153.7416 || Time: 0.3404 sec.\n",
      "===> Epoch[9](4260/5770): Loss: 219.3931 || Time: 0.3295 sec.\n",
      "===> Epoch[9](4280/5770): Loss: 68.3354 || Time: 0.3305 sec.\n",
      "===> Epoch[9](4300/5770): Loss: 209.0132 || Time: 0.3345 sec.\n",
      "===> Epoch[9](4320/5770): Loss: 345.0424 || Time: 0.3310 sec.\n",
      "===> Epoch[9](4340/5770): Loss: 474.6131 || Time: 0.3364 sec.\n",
      "===> Epoch[9](4360/5770): Loss: 137.1235 || Time: 0.3359 sec.\n",
      "===> Epoch[9](4380/5770): Loss: 78.7266 || Time: 0.3432 sec.\n",
      "===> Epoch[9](4400/5770): Loss: 550.2266 || Time: 0.3303 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 216.4344, Mean AP = 0.5217, Mean SSIM = 0.9567, Mean PSNR = 25.3644 || Time: 9.9733 sec.\n",
      "===> Epoch[9](4420/5770): Loss: 37.4070 || Time: 0.3356 sec.\n",
      "===> Epoch[9](4440/5770): Loss: 110.2394 || Time: 0.3321 sec.\n",
      "===> Epoch[9](4460/5770): Loss: 76.4013 || Time: 0.3312 sec.\n",
      "===> Epoch[9](4480/5770): Loss: 204.2627 || Time: 0.3417 sec.\n",
      "===> Epoch[9](4500/5770): Loss: 282.8315 || Time: 0.3307 sec.\n",
      "===> Epoch[9](4520/5770): Loss: 286.1065 || Time: 0.3313 sec.\n",
      "===> Epoch[9](4540/5770): Loss: 574.2139 || Time: 0.3344 sec.\n",
      "===> Epoch[9](4560/5770): Loss: 264.8643 || Time: 0.3323 sec.\n",
      "===> Epoch[9](4580/5770): Loss: 246.6597 || Time: 0.3327 sec.\n",
      "===> Epoch[9](4600/5770): Loss: 302.2187 || Time: 0.3478 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 235.3425, Mean AP = 0.5765, Mean SSIM = 0.9564, Mean PSNR = 25.3488 || Time: 10.0299 sec.\n",
      "===> Epoch[9](4620/5770): Loss: 278.3478 || Time: 0.3383 sec.\n",
      "===> Epoch[9](4640/5770): Loss: 339.8021 || Time: 0.3401 sec.\n",
      "===> Epoch[9](4660/5770): Loss: 42.8230 || Time: 0.3328 sec.\n",
      "===> Epoch[9](4680/5770): Loss: 122.1198 || Time: 0.3294 sec.\n",
      "===> Epoch[9](4700/5770): Loss: 254.2340 || Time: 0.3344 sec.\n",
      "===> Epoch[9](4720/5770): Loss: 146.1016 || Time: 0.3329 sec.\n",
      "===> Epoch[9](4740/5770): Loss: 112.5438 || Time: 0.3387 sec.\n",
      "===> Epoch[9](4760/5770): Loss: 218.7256 || Time: 0.3341 sec.\n",
      "===> Epoch[9](4780/5770): Loss: 121.1762 || Time: 0.3378 sec.\n",
      "===> Epoch[9](4800/5770): Loss: 255.1902 || Time: 0.3398 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 217.6851, Mean AP = 0.5221, Mean SSIM = 0.9522, Mean PSNR = 25.2830 || Time: 10.0717 sec.\n",
      "===> Epoch[9](4820/5770): Loss: 47.2315 || Time: 0.3335 sec.\n",
      "===> Epoch[9](4840/5770): Loss: 296.6182 || Time: 0.3369 sec.\n",
      "===> Epoch[9](4860/5770): Loss: 353.3885 || Time: 0.3309 sec.\n",
      "===> Epoch[9](4880/5770): Loss: 444.8452 || Time: 0.3347 sec.\n",
      "===> Epoch[9](4900/5770): Loss: 225.2866 || Time: 0.3362 sec.\n",
      "===> Epoch[9](4920/5770): Loss: 100.6873 || Time: 0.3384 sec.\n",
      "===> Epoch[9](4940/5770): Loss: 134.3258 || Time: 0.3319 sec.\n",
      "===> Epoch[9](4960/5770): Loss: 199.9100 || Time: 0.3482 sec.\n",
      "===> Epoch[9](4980/5770): Loss: 220.9378 || Time: 0.3581 sec.\n",
      "===> Epoch[9](5000/5770): Loss: 138.9561 || Time: 0.3317 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 236.0765, Mean AP = 0.5711, Mean SSIM = 0.9565, Mean PSNR = 25.3503 || Time: 10.0704 sec.\n",
      "Saving state, iter: 5000\n",
      "===> Epoch[9](5020/5770): Loss: 303.6276 || Time: 0.3329 sec.\n",
      "===> Epoch[9](5040/5770): Loss: 78.4621 || Time: 0.3338 sec.\n",
      "===> Epoch[9](5060/5770): Loss: 134.1603 || Time: 0.3409 sec.\n",
      "===> Epoch[9](5080/5770): Loss: 221.7249 || Time: 0.3340 sec.\n",
      "===> Epoch[9](5100/5770): Loss: 626.8615 || Time: 0.3332 sec.\n",
      "===> Epoch[9](5120/5770): Loss: 66.7566 || Time: 0.3468 sec.\n",
      "===> Epoch[9](5140/5770): Loss: 298.9777 || Time: 0.3362 sec.\n",
      "===> Epoch[9](5160/5770): Loss: 66.6236 || Time: 0.3363 sec.\n",
      "===> Epoch[9](5180/5770): Loss: 323.9832 || Time: 0.3322 sec.\n",
      "===> Epoch[9](5200/5770): Loss: 101.4212 || Time: 0.3427 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 233.8570, Mean AP = 0.5758, Mean SSIM = 0.9566, Mean PSNR = 25.3687 || Time: 10.1394 sec.\n",
      "===> Epoch[9](5220/5770): Loss: 98.8625 || Time: 0.3366 sec.\n",
      "===> Epoch[9](5240/5770): Loss: 197.3958 || Time: 0.3359 sec.\n",
      "===> Epoch[9](5260/5770): Loss: 229.2745 || Time: 0.3518 sec.\n",
      "===> Epoch[9](5280/5770): Loss: 233.0685 || Time: 0.3368 sec.\n",
      "===> Epoch[9](5300/5770): Loss: 131.4302 || Time: 0.3335 sec.\n",
      "===> Epoch[9](5320/5770): Loss: 303.3150 || Time: 0.3317 sec.\n",
      "===> Epoch[9](5340/5770): Loss: 147.3677 || Time: 0.3351 sec.\n",
      "===> Epoch[9](5360/5770): Loss: 51.1423 || Time: 0.3318 sec.\n",
      "===> Epoch[9](5380/5770): Loss: 249.6211 || Time: 0.3451 sec.\n",
      "===> Epoch[9](5400/5770): Loss: 117.6067 || Time: 0.3372 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 240.0863, Mean AP = 0.5781, Mean SSIM = 0.9535, Mean PSNR = 25.0046 || Time: 9.9969 sec.\n",
      "===> Epoch[9](5420/5770): Loss: 200.1500 || Time: 0.3369 sec.\n",
      "===> Epoch[9](5440/5770): Loss: 313.0870 || Time: 0.3386 sec.\n",
      "===> Epoch[9](5460/5770): Loss: 42.0607 || Time: 0.3325 sec.\n",
      "===> Epoch[9](5480/5770): Loss: 186.2276 || Time: 0.3432 sec.\n",
      "===> Epoch[9](5500/5770): Loss: 449.0610 || Time: 0.3287 sec.\n",
      "===> Epoch[9](5520/5770): Loss: 239.5047 || Time: 0.3357 sec.\n",
      "===> Epoch[9](5540/5770): Loss: 392.2828 || Time: 0.3312 sec.\n",
      "===> Epoch[9](5560/5770): Loss: 130.1258 || Time: 0.3665 sec.\n",
      "===> Epoch[9](5580/5770): Loss: 128.5826 || Time: 0.3308 sec.\n",
      "===> Epoch[9](5600/5770): Loss: 338.4949 || Time: 0.3403 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 220.3213, Mean AP = 0.5264, Mean SSIM = 0.9569, Mean PSNR = 25.3829 || Time: 10.0179 sec.\n",
      "===> Epoch 9 Complete: Avg. Loss: 113.3882 || Time: 2175.8979 sec.\n",
      "===> Epoch[10](20/5770): Loss: 141.0608 || Time: 0.3277 sec.\n",
      "===> Epoch[10](40/5770): Loss: 89.1398 || Time: 0.3396 sec.\n",
      "===> Epoch[10](60/5770): Loss: 249.3147 || Time: 0.3321 sec.\n",
      "===> Epoch[10](80/5770): Loss: 128.8714 || Time: 0.3347 sec.\n",
      "===> Epoch[10](100/5770): Loss: 350.8428 || Time: 0.3335 sec.\n",
      "===> Epoch[10](120/5770): Loss: 117.9674 || Time: 0.3412 sec.\n",
      "===> Epoch[10](140/5770): Loss: 367.8245 || Time: 0.3308 sec.\n",
      "===> Epoch[10](160/5770): Loss: 248.8232 || Time: 0.3589 sec.\n",
      "===> Epoch[10](180/5770): Loss: 356.8611 || Time: 0.3387 sec.\n",
      "===> Epoch[10](200/5770): Loss: 229.2003 || Time: 0.3373 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 202.5384, Mean AP = 0.5286, Mean SSIM = 0.9568, Mean PSNR = 25.3818 || Time: 10.0803 sec.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> Epoch[10](220/5770): Loss: 88.7370 || Time: 0.3302 sec.\n",
      "===> Epoch[10](240/5770): Loss: 245.5345 || Time: 0.3380 sec.\n",
      "===> Epoch[10](260/5770): Loss: 184.8583 || Time: 0.3354 sec.\n",
      "===> Epoch[10](280/5770): Loss: 130.8129 || Time: 0.3370 sec.\n",
      "===> Epoch[10](300/5770): Loss: 146.6973 || Time: 0.3407 sec.\n",
      "===> Epoch[10](320/5770): Loss: 153.1543 || Time: 0.3388 sec.\n",
      "===> Epoch[10](340/5770): Loss: 163.1753 || Time: 0.3655 sec.\n",
      "===> Epoch[10](360/5770): Loss: 214.2189 || Time: 0.3306 sec.\n",
      "===> Epoch[10](380/5770): Loss: 178.0288 || Time: 0.3350 sec.\n",
      "===> Epoch[10](400/5770): Loss: 289.7285 || Time: 0.3313 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 210.2526, Mean AP = 0.5180, Mean SSIM = 0.9568, Mean PSNR = 25.3866 || Time: 10.0352 sec.\n",
      "===> Epoch[10](420/5770): Loss: 86.5974 || Time: 0.3386 sec.\n",
      "===> Epoch[10](440/5770): Loss: 433.6803 || Time: 0.3374 sec.\n",
      "===> Epoch[10](460/5770): Loss: 179.8628 || Time: 0.3433 sec.\n",
      "===> Epoch[10](480/5770): Loss: 58.9264 || Time: 0.3403 sec.\n",
      "===> Epoch[10](500/5770): Loss: 73.0529 || Time: 0.3386 sec.\n",
      "===> Epoch[10](520/5770): Loss: 222.2209 || Time: 0.3687 sec.\n",
      "===> Epoch[10](540/5770): Loss: 272.2525 || Time: 0.3380 sec.\n",
      "===> Epoch[10](560/5770): Loss: 215.3315 || Time: 0.3403 sec.\n",
      "===> Epoch[10](580/5770): Loss: 245.4776 || Time: 0.3402 sec.\n",
      "===> Epoch[10](600/5770): Loss: 48.4732 || Time: 0.3390 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 215.2227, Mean AP = 0.5757, Mean SSIM = 0.9571, Mean PSNR = 25.3868 || Time: 10.1654 sec.\n",
      "===> Epoch[10](620/5770): Loss: 120.5054 || Time: 0.3313 sec.\n",
      "===> Epoch[10](640/5770): Loss: 204.5556 || Time: 0.3330 sec.\n",
      "===> Epoch[10](660/5770): Loss: 118.9026 || Time: 0.3298 sec.\n",
      "===> Epoch[10](680/5770): Loss: 192.2557 || Time: 0.3601 sec.\n",
      "===> Epoch[10](700/5770): Loss: 267.2345 || Time: 0.3327 sec.\n",
      "===> Epoch[10](720/5770): Loss: 95.6701 || Time: 0.3359 sec.\n",
      "===> Epoch[10](740/5770): Loss: 366.3799 || Time: 0.3311 sec.\n",
      "===> Epoch[10](760/5770): Loss: 303.6125 || Time: 0.3347 sec.\n",
      "===> Epoch[10](780/5770): Loss: 434.0153 || Time: 0.3381 sec.\n",
      "===> Epoch[10](800/5770): Loss: 156.9721 || Time: 0.3341 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 223.4279, Mean AP = 0.5736, Mean SSIM = 0.9569, Mean PSNR = 25.3856 || Time: 10.0240 sec.\n",
      "===> Epoch[10](820/5770): Loss: 306.4988 || Time: 0.3281 sec.\n",
      "===> Epoch[10](840/5770): Loss: 290.3698 || Time: 0.3330 sec.\n",
      "===> Epoch[10](860/5770): Loss: 250.5441 || Time: 0.3395 sec.\n",
      "===> Epoch[10](880/5770): Loss: 148.6530 || Time: 0.3320 sec.\n",
      "===> Epoch[10](900/5770): Loss: 314.9687 || Time: 0.3293 sec.\n",
      "===> Epoch[10](920/5770): Loss: 160.3284 || Time: 0.3409 sec.\n",
      "===> Epoch[10](940/5770): Loss: 308.5150 || Time: 0.3405 sec.\n",
      "===> Epoch[10](960/5770): Loss: 89.0638 || Time: 0.3366 sec.\n",
      "===> Epoch[10](980/5770): Loss: 278.4800 || Time: 0.3434 sec.\n",
      "===> Epoch[10](1000/5770): Loss: 89.6335 || Time: 0.3378 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 215.4972, Mean AP = 0.5709, Mean SSIM = 0.9568, Mean PSNR = 25.3830 || Time: 10.0141 sec.\n",
      "Saving state, iter: 1000\n",
      "===> Epoch[10](1020/5770): Loss: 257.4932 || Time: 0.3334 sec.\n",
      "===> Epoch[10](1040/5770): Loss: 251.2276 || Time: 0.3325 sec.\n",
      "===> Epoch[10](1060/5770): Loss: 126.4935 || Time: 0.3335 sec.\n",
      "===> Epoch[10](1080/5770): Loss: 600.3869 || Time: 0.3328 sec.\n",
      "===> Epoch[10](1100/5770): Loss: 324.9587 || Time: 0.3308 sec.\n",
      "===> Epoch[10](1120/5770): Loss: 287.1765 || Time: 0.3383 sec.\n",
      "===> Epoch[10](1140/5770): Loss: 107.7529 || Time: 0.3326 sec.\n",
      "===> Epoch[10](1160/5770): Loss: 229.0997 || Time: 0.3408 sec.\n",
      "===> Epoch[10](1180/5770): Loss: 119.4179 || Time: 0.3408 sec.\n",
      "===> Epoch[10](1200/5770): Loss: 148.1131 || Time: 0.3444 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 225.9766, Mean AP = 0.5758, Mean SSIM = 0.9567, Mean PSNR = 25.3708 || Time: 10.0296 sec.\n",
      "===> Epoch[10](1220/5770): Loss: 317.1127 || Time: 0.3331 sec.\n",
      "===> Epoch[10](1240/5770): Loss: 301.5276 || Time: 0.3385 sec.\n",
      "===> Epoch[10](1260/5770): Loss: 558.7551 || Time: 0.3350 sec.\n",
      "===> Epoch[10](1280/5770): Loss: 261.4678 || Time: 0.3345 sec.\n",
      "===> Epoch[10](1300/5770): Loss: 116.6904 || Time: 0.3331 sec.\n",
      "===> Epoch[10](1320/5770): Loss: 415.2582 || Time: 0.3437 sec.\n",
      "===> Epoch[10](1340/5770): Loss: 161.9593 || Time: 0.3503 sec.\n",
      "===> Epoch[10](1360/5770): Loss: 129.3297 || Time: 0.3338 sec.\n",
      "===> Epoch[10](1380/5770): Loss: 144.6004 || Time: 0.3329 sec.\n",
      "===> Epoch[10](1400/5770): Loss: 229.4421 || Time: 0.3346 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 235.9070, Mean AP = 0.5218, Mean SSIM = 0.9568, Mean PSNR = 25.3946 || Time: 10.1128 sec.\n",
      "===> Epoch[10](1420/5770): Loss: 242.6061 || Time: 0.3317 sec.\n",
      "===> Epoch[10](1440/5770): Loss: 233.6337 || Time: 0.3298 sec.\n",
      "===> Epoch[10](1460/5770): Loss: 248.0045 || Time: 0.3318 sec.\n",
      "===> Epoch[10](1480/5770): Loss: 186.7922 || Time: 0.3331 sec.\n",
      "===> Epoch[10](1500/5770): Loss: 283.7915 || Time: 0.3390 sec.\n",
      "===> Epoch[10](1520/5770): Loss: 165.2783 || Time: 0.3345 sec.\n",
      "===> Epoch[10](1540/5770): Loss: 228.5747 || Time: 0.3302 sec.\n",
      "===> Epoch[10](1560/5770): Loss: 317.9431 || Time: 0.3403 sec.\n",
      "===> Epoch[10](1580/5770): Loss: 93.1116 || Time: 0.3344 sec.\n",
      "===> Epoch[10](1600/5770): Loss: 70.0733 || Time: 0.3418 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 232.4988, Mean AP = 0.5218, Mean SSIM = 0.9564, Mean PSNR = 25.3538 || Time: 10.0420 sec.\n",
      "===> Epoch[10](1620/5770): Loss: 347.0885 || Time: 0.3402 sec.\n",
      "===> Epoch[10](1640/5770): Loss: 358.5367 || Time: 0.3575 sec.\n",
      "===> Epoch[10](1660/5770): Loss: 113.8899 || Time: 0.3298 sec.\n",
      "===> Epoch[10](1680/5770): Loss: 144.9852 || Time: 0.3398 sec.\n",
      "===> Epoch[10](1700/5770): Loss: 320.8650 || Time: 0.3310 sec.\n",
      "===> Epoch[10](1720/5770): Loss: 143.3578 || Time: 0.3347 sec.\n",
      "===> Epoch[10](1740/5770): Loss: 521.5433 || Time: 0.3586 sec.\n",
      "===> Epoch[10](1760/5770): Loss: 255.1823 || Time: 0.3389 sec.\n",
      "===> Epoch[10](1780/5770): Loss: 274.9335 || Time: 0.3349 sec.\n",
      "===> Epoch[10](1800/5770): Loss: 101.2454 || Time: 0.3325 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 227.7469, Mean AP = 0.5256, Mean SSIM = 0.9566, Mean PSNR = 25.3287 || Time: 10.0738 sec.\n",
      "===> Epoch[10](1820/5770): Loss: 134.5619 || Time: 0.3309 sec.\n",
      "===> Epoch[10](1840/5770): Loss: 456.9573 || Time: 0.3315 sec.\n",
      "===> Epoch[10](1860/5770): Loss: 287.8516 || Time: 0.3356 sec.\n",
      "===> Epoch[10](1880/5770): Loss: 169.2994 || Time: 0.3393 sec.\n",
      "===> Epoch[10](1900/5770): Loss: 150.1644 || Time: 0.3341 sec.\n",
      "===> Epoch[10](1920/5770): Loss: 304.7531 || Time: 0.3417 sec.\n",
      "===> Epoch[10](1940/5770): Loss: 119.0523 || Time: 0.3330 sec.\n",
      "===> Epoch[10](1960/5770): Loss: 156.7461 || Time: 0.3353 sec.\n",
      "===> Epoch[10](1980/5770): Loss: 242.5445 || Time: 0.3330 sec.\n",
      "===> Epoch[10](2000/5770): Loss: 225.9158 || Time: 0.3329 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 227.2157, Mean AP = 0.5255, Mean SSIM = 0.9558, Mean PSNR = 25.1624 || Time: 10.0522 sec.\n",
      "Saving state, iter: 2000\n",
      "===> Epoch[10](2020/5770): Loss: 133.7978 || Time: 0.3339 sec.\n",
      "===> Epoch[10](2040/5770): Loss: 423.7927 || Time: 0.3340 sec.\n",
      "===> Epoch[10](2060/5770): Loss: 168.3782 || Time: 0.3331 sec.\n",
      "===> Epoch[10](2080/5770): Loss: 112.4585 || Time: 0.3428 sec.\n",
      "===> Epoch[10](2100/5770): Loss: 187.7251 || Time: 0.3375 sec.\n",
      "===> Epoch[10](2120/5770): Loss: 118.6380 || Time: 0.3567 sec.\n",
      "===> Epoch[10](2140/5770): Loss: 237.4708 || Time: 0.3364 sec.\n",
      "===> Epoch[10](2160/5770): Loss: 273.3390 || Time: 0.3367 sec.\n",
      "===> Epoch[10](2180/5770): Loss: 268.6216 || Time: 0.3326 sec.\n",
      "===> Epoch[10](2200/5770): Loss: 358.6183 || Time: 0.3351 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 230.4375, Mean AP = 0.5213, Mean SSIM = 0.9569, Mean PSNR = 25.4013 || Time: 10.0682 sec.\n",
      "===> Epoch[10](2220/5770): Loss: 103.5060 || Time: 0.3389 sec.\n",
      "===> Epoch[10](2240/5770): Loss: 184.4215 || Time: 0.3381 sec.\n",
      "===> Epoch[10](2260/5770): Loss: 123.4753 || Time: 0.3359 sec.\n",
      "===> Epoch[10](2280/5770): Loss: 454.6249 || Time: 0.3310 sec.\n",
      "===> Epoch[10](2300/5770): Loss: 302.5118 || Time: 0.3473 sec.\n",
      "===> Epoch[10](2320/5770): Loss: 107.0054 || Time: 0.3285 sec.\n",
      "===> Epoch[10](2340/5770): Loss: 511.2963 || Time: 0.3447 sec.\n",
      "===> Epoch[10](2360/5770): Loss: 137.1722 || Time: 0.3442 sec.\n",
      "===> Epoch[10](2380/5770): Loss: 333.6108 || Time: 0.3332 sec.\n",
      "===> Epoch[10](2400/5770): Loss: 153.8518 || Time: 0.3331 sec.\n",
      "Evaluating detections\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean Loss = 254.6601, Mean AP = 0.5235, Mean SSIM = 0.9570, Mean PSNR = 25.4072 || Time: 10.0533 sec.\n",
      "===> Epoch[10](2420/5770): Loss: 117.9365 || Time: 0.3315 sec.\n",
      "===> Epoch[10](2440/5770): Loss: 481.5061 || Time: 0.3368 sec.\n",
      "===> Epoch[10](2460/5770): Loss: 79.5855 || Time: 0.3348 sec.\n",
      "===> Epoch[10](2480/5770): Loss: 432.6360 || Time: 0.3356 sec.\n",
      "===> Epoch[10](2500/5770): Loss: 155.7765 || Time: 0.3349 sec.\n",
      "===> Epoch[10](2520/5770): Loss: 303.5159 || Time: 0.3361 sec.\n",
      "===> Epoch[10](2540/5770): Loss: 372.6230 || Time: 0.3352 sec.\n",
      "===> Epoch[10](2560/5770): Loss: 476.4832 || Time: 0.3335 sec.\n",
      "===> Epoch[10](2580/5770): Loss: 587.1025 || Time: 0.3607 sec.\n",
      "===> Epoch[10](2600/5770): Loss: 145.7690 || Time: 0.3308 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 226.4095, Mean AP = 0.5309, Mean SSIM = 0.9560, Mean PSNR = 25.3621 || Time: 10.0448 sec.\n",
      "===> Epoch[10](2620/5770): Loss: 61.2566 || Time: 0.3303 sec.\n",
      "===> Epoch[10](2640/5770): Loss: 187.3580 || Time: 0.3309 sec.\n",
      "===> Epoch[10](2660/5770): Loss: 115.9463 || Time: 0.3401 sec.\n",
      "===> Epoch[10](2680/5770): Loss: 350.2544 || Time: 0.3334 sec.\n",
      "===> Epoch[10](2700/5770): Loss: 209.0399 || Time: 0.3389 sec.\n",
      "===> Epoch[10](2720/5770): Loss: 305.5896 || Time: 0.3330 sec.\n",
      "===> Epoch[10](2740/5770): Loss: 267.7709 || Time: 0.3328 sec.\n",
      "===> Epoch[10](2760/5770): Loss: 96.1063 || Time: 0.3594 sec.\n",
      "===> Epoch[10](2780/5770): Loss: 443.2103 || Time: 0.3382 sec.\n",
      "===> Epoch[10](2800/5770): Loss: 139.9933 || Time: 0.3420 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 240.7286, Mean AP = 0.5271, Mean SSIM = 0.9566, Mean PSNR = 25.3659 || Time: 10.2344 sec.\n",
      "===> Epoch[10](2820/5770): Loss: 220.4748 || Time: 0.3289 sec.\n",
      "===> Epoch[10](2840/5770): Loss: 82.4656 || Time: 0.3316 sec.\n",
      "===> Epoch[10](2860/5770): Loss: 151.1469 || Time: 0.3321 sec.\n",
      "===> Epoch[10](2880/5770): Loss: 294.8953 || Time: 0.3322 sec.\n",
      "===> Epoch[10](2900/5770): Loss: 821.4894 || Time: 0.3328 sec.\n",
      "===> Epoch[10](2920/5770): Loss: 314.6554 || Time: 0.3379 sec.\n",
      "===> Epoch[10](2940/5770): Loss: 495.9859 || Time: 0.3523 sec.\n",
      "===> Epoch[10](2960/5770): Loss: 263.2264 || Time: 0.3425 sec.\n",
      "===> Epoch[10](2980/5770): Loss: 263.3656 || Time: 0.3549 sec.\n",
      "===> Epoch[10](3000/5770): Loss: 209.5457 || Time: 0.3290 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 232.7743, Mean AP = 0.5763, Mean SSIM = 0.9560, Mean PSNR = 25.2691 || Time: 10.0173 sec.\n",
      "Saving state, iter: 3000\n",
      "===> Epoch[10](3020/5770): Loss: 311.3600 || Time: 0.3392 sec.\n",
      "===> Epoch[10](3040/5770): Loss: 202.0471 || Time: 0.3377 sec.\n",
      "===> Epoch[10](3060/5770): Loss: 386.2882 || Time: 0.3396 sec.\n",
      "===> Epoch[10](3080/5770): Loss: 260.8641 || Time: 0.3359 sec.\n",
      "===> Epoch[10](3100/5770): Loss: 298.1024 || Time: 0.3414 sec.\n",
      "===> Epoch[10](3120/5770): Loss: 75.3145 || Time: 0.3395 sec.\n",
      "===> Epoch[10](3140/5770): Loss: 130.8521 || Time: 0.3449 sec.\n",
      "===> Epoch[10](3160/5770): Loss: 145.9153 || Time: 0.3410 sec.\n",
      "===> Epoch[10](3180/5770): Loss: 331.3763 || Time: 0.3395 sec.\n",
      "===> Epoch[10](3200/5770): Loss: 233.3493 || Time: 0.3541 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 227.9930, Mean AP = 0.5240, Mean SSIM = 0.9565, Mean PSNR = 25.3696 || Time: 10.0855 sec.\n",
      "===> Epoch[10](3220/5770): Loss: 133.8991 || Time: 0.3326 sec.\n",
      "===> Epoch[10](3240/5770): Loss: 242.1161 || Time: 0.3313 sec.\n",
      "===> Epoch[10](3260/5770): Loss: 547.4897 || Time: 0.3341 sec.\n",
      "===> Epoch[10](3280/5770): Loss: 124.5837 || Time: 0.3338 sec.\n",
      "===> Epoch[10](3300/5770): Loss: 206.4618 || Time: 0.3317 sec.\n",
      "===> Epoch[10](3320/5770): Loss: 242.9768 || Time: 0.3323 sec.\n",
      "===> Epoch[10](3340/5770): Loss: 241.4807 || Time: 0.3363 sec.\n",
      "===> Epoch[10](3360/5770): Loss: 185.4188 || Time: 0.3362 sec.\n",
      "===> Epoch[10](3380/5770): Loss: 286.5605 || Time: 0.3318 sec.\n",
      "===> Epoch[10](3400/5770): Loss: 150.4714 || Time: 0.3475 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 223.1478, Mean AP = 0.5197, Mean SSIM = 0.9567, Mean PSNR = 25.3891 || Time: 10.0728 sec.\n",
      "===> Epoch[10](3420/5770): Loss: 296.5375 || Time: 0.3294 sec.\n",
      "===> Epoch[10](3440/5770): Loss: 245.2595 || Time: 0.3345 sec.\n",
      "===> Epoch[10](3460/5770): Loss: 62.1380 || Time: 0.3456 sec.\n",
      "===> Epoch[10](3480/5770): Loss: 49.0837 || Time: 0.3506 sec.\n",
      "===> Epoch[10](3500/5770): Loss: 157.1868 || Time: 0.3348 sec.\n",
      "===> Epoch[10](3520/5770): Loss: 251.8966 || Time: 0.3312 sec.\n",
      "===> Epoch[10](3540/5770): Loss: 55.5889 || Time: 0.3391 sec.\n",
      "===> Epoch[10](3560/5770): Loss: 124.5047 || Time: 0.3323 sec.\n",
      "===> Epoch[10](3580/5770): Loss: 191.6186 || Time: 0.3347 sec.\n",
      "===> Epoch[10](3600/5770): Loss: 142.8321 || Time: 0.3325 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 213.3176, Mean AP = 0.5746, Mean SSIM = 0.9568, Mean PSNR = 25.3779 || Time: 10.0569 sec.\n",
      "===> Epoch[10](3620/5770): Loss: 261.8136 || Time: 0.3390 sec.\n",
      "===> Epoch[10](3640/5770): Loss: 159.3025 || Time: 0.3434 sec.\n",
      "===> Epoch[10](3660/5770): Loss: 146.6015 || Time: 0.3329 sec.\n",
      "===> Epoch[10](3680/5770): Loss: 371.9176 || Time: 0.3395 sec.\n",
      "===> Epoch[10](3700/5770): Loss: 132.1662 || Time: 0.3327 sec.\n",
      "===> Epoch[10](3720/5770): Loss: 535.9985 || Time: 0.3371 sec.\n",
      "===> Epoch[10](3740/5770): Loss: 261.0744 || Time: 0.3381 sec.\n",
      "===> Epoch[10](3760/5770): Loss: 113.2634 || Time: 0.3526 sec.\n",
      "===> Epoch[10](3780/5770): Loss: 226.1538 || Time: 0.3366 sec.\n",
      "===> Epoch[10](3800/5770): Loss: 51.7727 || Time: 0.3342 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 215.1841, Mean AP = 0.5275, Mean SSIM = 0.9568, Mean PSNR = 25.3801 || Time: 10.1430 sec.\n",
      "===> Epoch[10](3820/5770): Loss: 87.5039 || Time: 0.3387 sec.\n",
      "===> Epoch[10](3840/5770): Loss: 132.2602 || Time: 0.3328 sec.\n",
      "===> Epoch[10](3860/5770): Loss: 113.8251 || Time: 0.3395 sec.\n",
      "===> Epoch[10](3880/5770): Loss: 130.3920 || Time: 0.3391 sec.\n",
      "===> Epoch[10](3900/5770): Loss: 230.8133 || Time: 0.3331 sec.\n",
      "===> Epoch[10](3920/5770): Loss: 130.9079 || Time: 0.3323 sec.\n",
      "===> Epoch[10](3940/5770): Loss: 60.5832 || Time: 0.3371 sec.\n",
      "===> Epoch[10](3960/5770): Loss: 244.4786 || Time: 0.3316 sec.\n",
      "===> Epoch[10](3980/5770): Loss: 289.9262 || Time: 0.3429 sec.\n",
      "===> Epoch[10](4000/5770): Loss: 221.9629 || Time: 0.3545 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 218.2940, Mean AP = 0.5293, Mean SSIM = 0.9567, Mean PSNR = 25.3989 || Time: 9.9743 sec.\n",
      "Saving state, iter: 4000\n",
      "===> Epoch[10](4020/5770): Loss: 60.2535 || Time: 0.3296 sec.\n",
      "===> Epoch[10](4040/5770): Loss: 292.6263 || Time: 0.3356 sec.\n",
      "===> Epoch[10](4060/5770): Loss: 111.6604 || Time: 0.3321 sec.\n",
      "===> Epoch[10](4080/5770): Loss: 229.4275 || Time: 0.3316 sec.\n",
      "===> Epoch[10](4100/5770): Loss: 73.0941 || Time: 0.3344 sec.\n",
      "===> Epoch[10](4120/5770): Loss: 234.5811 || Time: 0.3314 sec.\n",
      "===> Epoch[10](4140/5770): Loss: 114.8010 || Time: 0.3665 sec.\n",
      "===> Epoch[10](4160/5770): Loss: 103.4368 || Time: 0.3583 sec.\n",
      "===> Epoch[10](4180/5770): Loss: 220.1507 || Time: 0.3309 sec.\n",
      "===> Epoch[10](4200/5770): Loss: 259.5825 || Time: 0.3314 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 207.4361, Mean AP = 0.5775, Mean SSIM = 0.9569, Mean PSNR = 25.3868 || Time: 10.0278 sec.\n",
      "===> Epoch[10](4220/5770): Loss: 287.9560 || Time: 0.3342 sec.\n",
      "===> Epoch[10](4240/5770): Loss: 151.0185 || Time: 0.3317 sec.\n",
      "===> Epoch[10](4260/5770): Loss: 218.6291 || Time: 0.3304 sec.\n",
      "===> Epoch[10](4280/5770): Loss: 67.8701 || Time: 0.3599 sec.\n",
      "===> Epoch[10](4300/5770): Loss: 208.6225 || Time: 0.3489 sec.\n",
      "===> Epoch[10](4320/5770): Loss: 341.6721 || Time: 0.3306 sec.\n",
      "===> Epoch[10](4340/5770): Loss: 481.3143 || Time: 0.3402 sec.\n",
      "===> Epoch[10](4360/5770): Loss: 141.4417 || Time: 0.3438 sec.\n",
      "===> Epoch[10](4380/5770): Loss: 83.2874 || Time: 0.3371 sec.\n",
      "===> Epoch[10](4400/5770): Loss: 547.0569 || Time: 0.3425 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 216.6938, Mean AP = 0.5230, Mean SSIM = 0.9566, Mean PSNR = 25.3746 || Time: 10.0342 sec.\n",
      "===> Epoch[10](4420/5770): Loss: 41.1324 || Time: 0.3349 sec.\n",
      "===> Epoch[10](4440/5770): Loss: 114.8545 || Time: 0.3346 sec.\n",
      "===> Epoch[10](4460/5770): Loss: 79.1618 || Time: 0.3337 sec.\n",
      "===> Epoch[10](4480/5770): Loss: 225.6638 || Time: 0.3312 sec.\n",
      "===> Epoch[10](4500/5770): Loss: 231.4510 || Time: 0.3476 sec.\n",
      "===> Epoch[10](4520/5770): Loss: 285.8228 || Time: 0.3300 sec.\n",
      "===> Epoch[10](4540/5770): Loss: 575.5684 || Time: 0.3370 sec.\n",
      "===> Epoch[10](4560/5770): Loss: 269.3492 || Time: 0.3324 sec.\n",
      "===> Epoch[10](4580/5770): Loss: 246.6221 || Time: 0.3340 sec.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> Epoch[10](4600/5770): Loss: 303.1144 || Time: 0.3398 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 238.6010, Mean AP = 0.5232, Mean SSIM = 0.9564, Mean PSNR = 25.3323 || Time: 10.0903 sec.\n",
      "===> Epoch[10](4620/5770): Loss: 276.0179 || Time: 0.3385 sec.\n",
      "===> Epoch[10](4640/5770): Loss: 338.0462 || Time: 0.3388 sec.\n",
      "===> Epoch[10](4660/5770): Loss: 42.2652 || Time: 0.3322 sec.\n",
      "===> Epoch[10](4680/5770): Loss: 121.1109 || Time: 0.3327 sec.\n",
      "===> Epoch[10](4700/5770): Loss: 254.4184 || Time: 0.3309 sec.\n",
      "===> Epoch[10](4720/5770): Loss: 145.3119 || Time: 0.3383 sec.\n",
      "===> Epoch[10](4740/5770): Loss: 112.6346 || Time: 0.3352 sec.\n",
      "===> Epoch[10](4760/5770): Loss: 217.8190 || Time: 0.3298 sec.\n",
      "===> Epoch[10](4780/5770): Loss: 120.3988 || Time: 0.3363 sec.\n",
      "===> Epoch[10](4800/5770): Loss: 253.6449 || Time: 0.3339 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 217.1009, Mean AP = 0.5259, Mean SSIM = 0.9555, Mean PSNR = 25.0465 || Time: 10.0470 sec.\n",
      "===> Epoch[10](4820/5770): Loss: 45.4127 || Time: 0.3318 sec.\n",
      "===> Epoch[10](4840/5770): Loss: 295.3221 || Time: 0.3340 sec.\n",
      "===> Epoch[10](4860/5770): Loss: 351.6997 || Time: 0.3314 sec.\n",
      "===> Epoch[10](4880/5770): Loss: 444.1222 || Time: 0.3552 sec.\n",
      "===> Epoch[10](4900/5770): Loss: 227.7991 || Time: 0.3298 sec.\n",
      "===> Epoch[10](4920/5770): Loss: 99.7449 || Time: 0.3330 sec.\n",
      "===> Epoch[10](4940/5770): Loss: 132.8357 || Time: 0.3335 sec.\n",
      "===> Epoch[10](4960/5770): Loss: 197.8329 || Time: 0.3433 sec.\n",
      "===> Epoch[10](4980/5770): Loss: 219.4615 || Time: 0.3341 sec.\n",
      "===> Epoch[10](5000/5770): Loss: 138.7064 || Time: 0.3354 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 235.1072, Mean AP = 0.5241, Mean SSIM = 0.9568, Mean PSNR = 25.3854 || Time: 10.0410 sec.\n",
      "Saving state, iter: 5000\n",
      "===> Epoch[10](5020/5770): Loss: 298.3905 || Time: 0.3322 sec.\n",
      "===> Epoch[10](5040/5770): Loss: 78.7799 || Time: 0.3332 sec.\n",
      "===> Epoch[10](5060/5770): Loss: 132.2964 || Time: 0.3313 sec.\n",
      "===> Epoch[10](5080/5770): Loss: 221.1044 || Time: 0.3320 sec.\n",
      "===> Epoch[10](5100/5770): Loss: 623.4983 || Time: 0.3317 sec.\n",
      "===> Epoch[10](5120/5770): Loss: 66.4906 || Time: 0.3363 sec.\n",
      "===> Epoch[10](5140/5770): Loss: 296.9264 || Time: 0.3358 sec.\n",
      "===> Epoch[10](5160/5770): Loss: 65.7409 || Time: 0.3501 sec.\n",
      "===> Epoch[10](5180/5770): Loss: 321.1547 || Time: 0.3419 sec.\n",
      "===> Epoch[10](5200/5770): Loss: 99.8562 || Time: 0.3393 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 232.9290, Mean AP = 0.5832, Mean SSIM = 0.9569, Mean PSNR = 25.3971 || Time: 10.0066 sec.\n",
      "===> Epoch[10](5220/5770): Loss: 97.6817 || Time: 0.3308 sec.\n",
      "===> Epoch[10](5240/5770): Loss: 195.2113 || Time: 0.3316 sec.\n",
      "===> Epoch[10](5260/5770): Loss: 225.9452 || Time: 0.3308 sec.\n",
      "===> Epoch[10](5280/5770): Loss: 230.1625 || Time: 0.3465 sec.\n",
      "===> Epoch[10](5300/5770): Loss: 131.8465 || Time: 0.3337 sec.\n",
      "===> Epoch[10](5320/5770): Loss: 298.1665 || Time: 0.3341 sec.\n",
      "===> Epoch[10](5340/5770): Loss: 145.1881 || Time: 0.3343 sec.\n",
      "===> Epoch[10](5360/5770): Loss: 44.8252 || Time: 0.3290 sec.\n",
      "===> Epoch[10](5380/5770): Loss: 172.5945 || Time: 0.3329 sec.\n",
      "===> Epoch[10](5400/5770): Loss: 114.1367 || Time: 0.3581 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 233.2057, Mean AP = 0.5281, Mean SSIM = 0.9567, Mean PSNR = 25.3804 || Time: 10.0835 sec.\n",
      "===> Epoch[10](5420/5770): Loss: 196.7552 || Time: 0.3427 sec.\n",
      "===> Epoch[10](5440/5770): Loss: 305.6429 || Time: 0.3547 sec.\n",
      "===> Epoch[10](5460/5770): Loss: 40.0109 || Time: 0.3324 sec.\n",
      "===> Epoch[10](5480/5770): Loss: 180.1419 || Time: 0.3378 sec.\n",
      "===> Epoch[10](5500/5770): Loss: 447.5539 || Time: 0.3314 sec.\n",
      "===> Epoch[10](5520/5770): Loss: 237.1446 || Time: 0.3564 sec.\n",
      "===> Epoch[10](5540/5770): Loss: 391.4407 || Time: 0.3309 sec.\n",
      "===> Epoch[10](5560/5770): Loss: 127.0341 || Time: 0.3389 sec.\n",
      "===> Epoch[10](5580/5770): Loss: 127.0094 || Time: 0.3407 sec.\n",
      "===> Epoch[10](5600/5770): Loss: 335.9995 || Time: 0.3537 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 216.5017, Mean AP = 0.5247, Mean SSIM = 0.9569, Mean PSNR = 25.3983 || Time: 10.4772 sec.\n",
      "===> Epoch 10 Complete: Avg. Loss: 112.4430 || Time: 2180.8478 sec.\n",
      "===> Epoch[11](20/5770): Loss: 140.1852 || Time: 0.3334 sec.\n",
      "===> Epoch[11](40/5770): Loss: 84.5505 || Time: 0.3763 sec.\n",
      "===> Epoch[11](60/5770): Loss: 247.6587 || Time: 0.4091 sec.\n",
      "===> Epoch[11](80/5770): Loss: 121.9254 || Time: 0.3512 sec.\n",
      "===> Epoch[11](100/5770): Loss: 333.6641 || Time: 0.3510 sec.\n",
      "===> Epoch[11](120/5770): Loss: 114.5703 || Time: 0.3427 sec.\n",
      "===> Epoch[11](140/5770): Loss: 362.8369 || Time: 0.3763 sec.\n",
      "===> Epoch[11](160/5770): Loss: 249.2334 || Time: 0.3289 sec.\n",
      "===> Epoch[11](180/5770): Loss: 355.6728 || Time: 0.3354 sec.\n",
      "===> Epoch[11](200/5770): Loss: 225.8126 || Time: 0.3322 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 200.8463, Mean AP = 0.5234, Mean SSIM = 0.9569, Mean PSNR = 25.4003 || Time: 10.1262 sec.\n",
      "===> Epoch[11](220/5770): Loss: 88.1919 || Time: 0.3293 sec.\n",
      "===> Epoch[11](240/5770): Loss: 245.2117 || Time: 0.3335 sec.\n",
      "===> Epoch[11](260/5770): Loss: 182.0520 || Time: 0.3364 sec.\n",
      "===> Epoch[11](280/5770): Loss: 130.0712 || Time: 0.3339 sec.\n",
      "===> Epoch[11](300/5770): Loss: 147.0117 || Time: 0.3330 sec.\n",
      "===> Epoch[11](320/5770): Loss: 153.4115 || Time: 0.3343 sec.\n",
      "===> Epoch[11](340/5770): Loss: 161.9240 || Time: 0.3330 sec.\n",
      "===> Epoch[11](360/5770): Loss: 213.6951 || Time: 0.3341 sec.\n",
      "===> Epoch[11](380/5770): Loss: 177.2131 || Time: 0.3318 sec.\n",
      "===> Epoch[11](400/5770): Loss: 287.0907 || Time: 0.3352 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 209.4513, Mean AP = 0.5222, Mean SSIM = 0.9570, Mean PSNR = 25.3952 || Time: 10.0995 sec.\n",
      "===> Epoch[11](420/5770): Loss: 85.3906 || Time: 0.3285 sec.\n",
      "===> Epoch[11](440/5770): Loss: 432.1107 || Time: 0.3303 sec.\n",
      "===> Epoch[11](460/5770): Loss: 178.3261 || Time: 0.3378 sec.\n",
      "===> Epoch[11](480/5770): Loss: 58.2196 || Time: 0.3287 sec.\n",
      "===> Epoch[11](500/5770): Loss: 71.5599 || Time: 0.3399 sec.\n",
      "===> Epoch[11](520/5770): Loss: 220.9800 || Time: 0.3304 sec.\n",
      "===> Epoch[11](540/5770): Loss: 270.7206 || Time: 0.3300 sec.\n",
      "===> Epoch[11](560/5770): Loss: 214.4548 || Time: 0.3399 sec.\n",
      "===> Epoch[11](580/5770): Loss: 242.4274 || Time: 0.3316 sec.\n",
      "===> Epoch[11](600/5770): Loss: 48.4994 || Time: 0.3456 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 213.8393, Mean AP = 0.5210, Mean SSIM = 0.9572, Mean PSNR = 25.4056 || Time: 10.1025 sec.\n",
      "===> Epoch[11](620/5770): Loss: 119.3064 || Time: 0.3296 sec.\n",
      "===> Epoch[11](640/5770): Loss: 203.9437 || Time: 0.3334 sec.\n",
      "===> Epoch[11](660/5770): Loss: 117.8124 || Time: 0.3335 sec.\n",
      "===> Epoch[11](680/5770): Loss: 190.8310 || Time: 0.3332 sec.\n",
      "===> Epoch[11](700/5770): Loss: 266.8126 || Time: 0.3374 sec.\n",
      "===> Epoch[11](720/5770): Loss: 94.9177 || Time: 0.3345 sec.\n",
      "===> Epoch[11](740/5770): Loss: 364.0957 || Time: 0.3350 sec.\n",
      "===> Epoch[11](760/5770): Loss: 302.2977 || Time: 0.3295 sec.\n",
      "===> Epoch[11](780/5770): Loss: 433.6769 || Time: 0.3370 sec.\n",
      "===> Epoch[11](800/5770): Loss: 156.8698 || Time: 0.3325 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 221.5019, Mean AP = 0.5726, Mean SSIM = 0.9569, Mean PSNR = 25.3276 || Time: 10.0980 sec.\n",
      "===> Epoch[11](820/5770): Loss: 302.8925 || Time: 0.3362 sec.\n",
      "===> Epoch[11](840/5770): Loss: 287.6875 || Time: 0.3414 sec.\n",
      "===> Epoch[11](860/5770): Loss: 247.8824 || Time: 0.3427 sec.\n",
      "===> Epoch[11](880/5770): Loss: 146.1019 || Time: 0.3371 sec.\n",
      "===> Epoch[11](900/5770): Loss: 291.4764 || Time: 0.3368 sec.\n",
      "===> Epoch[11](920/5770): Loss: 157.0409 || Time: 0.3390 sec.\n",
      "===> Epoch[11](940/5770): Loss: 307.1133 || Time: 0.3382 sec.\n",
      "===> Epoch[11](960/5770): Loss: 88.6228 || Time: 0.3403 sec.\n",
      "===> Epoch[11](980/5770): Loss: 273.7177 || Time: 0.3520 sec.\n",
      "===> Epoch[11](1000/5770): Loss: 88.0235 || Time: 0.3393 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 213.5151, Mean AP = 0.5714, Mean SSIM = 0.9568, Mean PSNR = 25.3982 || Time: 10.2888 sec.\n",
      "Saving state, iter: 1000\n",
      "===> Epoch[11](1020/5770): Loss: 254.5984 || Time: 0.3424 sec.\n",
      "===> Epoch[11](1040/5770): Loss: 248.2326 || Time: 0.3290 sec.\n",
      "===> Epoch[11](1060/5770): Loss: 125.6960 || Time: 0.3344 sec.\n",
      "===> Epoch[11](1080/5770): Loss: 599.2109 || Time: 0.3336 sec.\n",
      "===> Epoch[11](1100/5770): Loss: 325.4505 || Time: 0.3317 sec.\n",
      "===> Epoch[11](1120/5770): Loss: 286.5503 || Time: 0.3325 sec.\n",
      "===> Epoch[11](1140/5770): Loss: 107.2932 || Time: 0.3311 sec.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> Epoch[11](1160/5770): Loss: 229.1767 || Time: 0.3399 sec.\n",
      "===> Epoch[11](1180/5770): Loss: 116.9847 || Time: 0.3539 sec.\n",
      "===> Epoch[11](1200/5770): Loss: 146.5566 || Time: 0.3343 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 224.1572, Mean AP = 0.5747, Mean SSIM = 0.9568, Mean PSNR = 25.3820 || Time: 10.0786 sec.\n",
      "===> Epoch[11](1220/5770): Loss: 314.6003 || Time: 0.3316 sec.\n",
      "===> Epoch[11](1240/5770): Loss: 300.1555 || Time: 0.3320 sec.\n",
      "===> Epoch[11](1260/5770): Loss: 556.9944 || Time: 0.3369 sec.\n",
      "===> Epoch[11](1280/5770): Loss: 260.1203 || Time: 0.3357 sec.\n",
      "===> Epoch[11](1300/5770): Loss: 116.4811 || Time: 0.3347 sec.\n",
      "===> Epoch[11](1320/5770): Loss: 416.3889 || Time: 0.3517 sec.\n",
      "===> Epoch[11](1340/5770): Loss: 161.7394 || Time: 0.3392 sec.\n",
      "===> Epoch[11](1360/5770): Loss: 129.5805 || Time: 0.3319 sec.\n",
      "===> Epoch[11](1380/5770): Loss: 143.5083 || Time: 0.3408 sec.\n",
      "===> Epoch[11](1400/5770): Loss: 228.6440 || Time: 0.3333 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 234.6970, Mean AP = 0.5204, Mean SSIM = 0.9569, Mean PSNR = 25.3654 || Time: 10.0957 sec.\n",
      "===> Epoch[11](1420/5770): Loss: 241.9626 || Time: 0.3311 sec.\n",
      "===> Epoch[11](1440/5770): Loss: 233.7805 || Time: 0.3402 sec.\n",
      "===> Epoch[11](1460/5770): Loss: 245.7621 || Time: 0.3328 sec.\n",
      "===> Epoch[11](1480/5770): Loss: 188.6087 || Time: 0.3369 sec.\n",
      "===> Epoch[11](1500/5770): Loss: 283.4778 || Time: 0.3338 sec.\n",
      "===> Epoch[11](1520/5770): Loss: 164.9693 || Time: 0.3335 sec.\n",
      "===> Epoch[11](1540/5770): Loss: 228.3155 || Time: 0.3372 sec.\n",
      "===> Epoch[11](1560/5770): Loss: 317.1178 || Time: 0.3362 sec.\n",
      "===> Epoch[11](1580/5770): Loss: 92.3278 || Time: 0.3323 sec.\n",
      "===> Epoch[11](1600/5770): Loss: 68.6250 || Time: 0.3514 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 231.3278, Mean AP = 0.5164, Mean SSIM = 0.9566, Mean PSNR = 25.3768 || Time: 10.0642 sec.\n",
      "===> Epoch[11](1620/5770): Loss: 344.9540 || Time: 0.3297 sec.\n",
      "===> Epoch[11](1640/5770): Loss: 358.5553 || Time: 0.3324 sec.\n",
      "===> Epoch[11](1660/5770): Loss: 118.9375 || Time: 0.3309 sec.\n",
      "===> Epoch[11](1680/5770): Loss: 145.3597 || Time: 0.3339 sec.\n",
      "===> Epoch[11](1700/5770): Loss: 319.4495 || Time: 0.3313 sec.\n",
      "===> Epoch[11](1720/5770): Loss: 150.8302 || Time: 0.3354 sec.\n",
      "===> Epoch[11](1740/5770): Loss: 514.4241 || Time: 0.3355 sec.\n",
      "===> Epoch[11](1760/5770): Loss: 253.7063 || Time: 0.3426 sec.\n",
      "===> Epoch[11](1780/5770): Loss: 258.1519 || Time: 0.3332 sec.\n",
      "===> Epoch[11](1800/5770): Loss: 93.0779 || Time: 0.3335 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 225.3578, Mean AP = 0.5237, Mean SSIM = 0.9568, Mean PSNR = 25.3845 || Time: 10.1022 sec.\n",
      "===> Epoch[11](1820/5770): Loss: 134.1723 || Time: 0.3286 sec.\n",
      "===> Epoch[11](1840/5770): Loss: 455.8505 || Time: 0.3299 sec.\n",
      "===> Epoch[11](1860/5770): Loss: 282.8032 || Time: 0.3475 sec.\n",
      "===> Epoch[11](1880/5770): Loss: 168.2863 || Time: 0.3337 sec.\n",
      "===> Epoch[11](1900/5770): Loss: 150.6684 || Time: 0.3530 sec.\n",
      "===> Epoch[11](1920/5770): Loss: 303.0980 || Time: 0.3328 sec.\n",
      "===> Epoch[11](1940/5770): Loss: 117.9968 || Time: 0.3336 sec.\n",
      "===> Epoch[11](1960/5770): Loss: 154.2048 || Time: 0.3312 sec.\n",
      "===> Epoch[11](1980/5770): Loss: 241.0598 || Time: 0.3543 sec.\n",
      "===> Epoch[11](2000/5770): Loss: 222.5042 || Time: 0.3386 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 224.4047, Mean AP = 0.5251, Mean SSIM = 0.9567, Mean PSNR = 25.3695 || Time: 10.0587 sec.\n",
      "Saving state, iter: 2000\n",
      "===> Epoch[11](2020/5770): Loss: 132.3869 || Time: 0.3299 sec.\n",
      "===> Epoch[11](2040/5770): Loss: 417.7824 || Time: 0.3383 sec.\n",
      "===> Epoch[11](2060/5770): Loss: 167.6140 || Time: 0.3326 sec.\n",
      "===> Epoch[11](2080/5770): Loss: 109.1912 || Time: 0.3399 sec.\n",
      "===> Epoch[11](2100/5770): Loss: 187.0373 || Time: 0.3375 sec.\n",
      "===> Epoch[11](2120/5770): Loss: 115.4170 || Time: 0.3381 sec.\n",
      "===> Epoch[11](2140/5770): Loss: 241.4134 || Time: 0.3322 sec.\n",
      "===> Epoch[11](2160/5770): Loss: 274.5894 || Time: 0.3544 sec.\n",
      "===> Epoch[11](2180/5770): Loss: 272.8036 || Time: 0.3591 sec.\n",
      "===> Epoch[11](2200/5770): Loss: 355.5489 || Time: 0.3305 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 229.3162, Mean AP = 0.5208, Mean SSIM = 0.9571, Mean PSNR = 25.3817 || Time: 10.0710 sec.\n",
      "===> Epoch[11](2220/5770): Loss: 102.5709 || Time: 0.3309 sec.\n",
      "===> Epoch[11](2240/5770): Loss: 182.6584 || Time: 0.3329 sec.\n",
      "===> Epoch[11](2260/5770): Loss: 122.7101 || Time: 0.3312 sec.\n",
      "===> Epoch[11](2280/5770): Loss: 454.1987 || Time: 0.3342 sec.\n",
      "===> Epoch[11](2300/5770): Loss: 301.1357 || Time: 0.3358 sec.\n",
      "===> Epoch[11](2320/5770): Loss: 105.5920 || Time: 0.3301 sec.\n",
      "===> Epoch[11](2340/5770): Loss: 508.8129 || Time: 0.3351 sec.\n",
      "===> Epoch[11](2360/5770): Loss: 137.0114 || Time: 0.3565 sec.\n",
      "===> Epoch[11](2380/5770): Loss: 331.7278 || Time: 0.3538 sec.\n",
      "===> Epoch[11](2400/5770): Loss: 151.4212 || Time: 0.3664 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 252.8722, Mean AP = 0.5280, Mean SSIM = 0.9570, Mean PSNR = 25.4098 || Time: 10.0204 sec.\n",
      "===> Epoch[11](2420/5770): Loss: 117.0889 || Time: 0.3309 sec.\n",
      "===> Epoch[11](2440/5770): Loss: 478.7121 || Time: 0.3306 sec.\n",
      "===> Epoch[11](2460/5770): Loss: 77.8814 || Time: 0.3375 sec.\n",
      "===> Epoch[11](2480/5770): Loss: 431.1234 || Time: 0.3307 sec.\n",
      "===> Epoch[11](2500/5770): Loss: 155.7470 || Time: 0.3324 sec.\n",
      "===> Epoch[11](2520/5770): Loss: 301.3154 || Time: 0.3305 sec.\n",
      "===> Epoch[11](2540/5770): Loss: 370.6969 || Time: 0.3297 sec.\n",
      "===> Epoch[11](2560/5770): Loss: 470.2490 || Time: 0.3394 sec.\n",
      "===> Epoch[11](2580/5770): Loss: 583.5821 || Time: 0.3341 sec.\n",
      "===> Epoch[11](2600/5770): Loss: 148.9990 || Time: 0.3401 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 224.6648, Mean AP = 0.5270, Mean SSIM = 0.9559, Mean PSNR = 25.3561 || Time: 10.0882 sec.\n",
      "===> Epoch[11](2620/5770): Loss: 62.5343 || Time: 0.3302 sec.\n",
      "===> Epoch[11](2640/5770): Loss: 185.7647 || Time: 0.3373 sec.\n",
      "===> Epoch[11](2660/5770): Loss: 115.6461 || Time: 0.3291 sec.\n",
      "===> Epoch[11](2680/5770): Loss: 347.2737 || Time: 0.3310 sec.\n",
      "===> Epoch[11](2700/5770): Loss: 206.8684 || Time: 0.3573 sec.\n",
      "===> Epoch[11](2720/5770): Loss: 303.6447 || Time: 0.3313 sec.\n",
      "===> Epoch[11](2740/5770): Loss: 265.9173 || Time: 0.3315 sec.\n",
      "===> Epoch[11](2760/5770): Loss: 96.1585 || Time: 0.3526 sec.\n",
      "===> Epoch[11](2780/5770): Loss: 441.3672 || Time: 0.3461 sec.\n",
      "===> Epoch[11](2800/5770): Loss: 138.5633 || Time: 0.3433 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 239.3865, Mean AP = 0.5296, Mean SSIM = 0.9566, Mean PSNR = 25.3743 || Time: 9.9192 sec.\n",
      "===> Epoch[11](2820/5770): Loss: 220.0355 || Time: 0.3288 sec.\n",
      "===> Epoch[11](2840/5770): Loss: 82.1142 || Time: 0.3306 sec.\n",
      "===> Epoch[11](2860/5770): Loss: 150.2301 || Time: 0.3308 sec.\n",
      "===> Epoch[11](2880/5770): Loss: 291.8135 || Time: 0.3386 sec.\n",
      "===> Epoch[11](2900/5770): Loss: 816.7122 || Time: 0.3326 sec.\n",
      "===> Epoch[11](2920/5770): Loss: 308.2402 || Time: 0.3418 sec.\n",
      "===> Epoch[11](2940/5770): Loss: 477.8935 || Time: 0.3478 sec.\n",
      "===> Epoch[11](2960/5770): Loss: 263.7585 || Time: 0.3346 sec.\n",
      "===> Epoch[11](2980/5770): Loss: 283.7184 || Time: 0.3317 sec.\n",
      "===> Epoch[11](3000/5770): Loss: 205.3280 || Time: 0.3319 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 231.1690, Mean AP = 0.5232, Mean SSIM = 0.9565, Mean PSNR = 25.2896 || Time: 10.1607 sec.\n",
      "Saving state, iter: 3000\n",
      "===> Epoch[11](3020/5770): Loss: 308.8044 || Time: 0.3304 sec.\n",
      "===> Epoch[11](3040/5770): Loss: 200.0540 || Time: 0.3299 sec.\n",
      "===> Epoch[11](3060/5770): Loss: 383.4863 || Time: 0.3329 sec.\n",
      "===> Epoch[11](3080/5770): Loss: 258.3105 || Time: 0.3314 sec.\n",
      "===> Epoch[11](3100/5770): Loss: 290.4060 || Time: 0.3447 sec.\n",
      "===> Epoch[11](3120/5770): Loss: 75.2585 || Time: 0.3328 sec.\n",
      "===> Epoch[11](3140/5770): Loss: 129.6056 || Time: 0.3464 sec.\n",
      "===> Epoch[11](3160/5770): Loss: 143.9703 || Time: 0.3304 sec.\n",
      "===> Epoch[11](3180/5770): Loss: 330.1327 || Time: 0.3329 sec.\n",
      "===> Epoch[11](3200/5770): Loss: 228.9174 || Time: 0.3300 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 226.2255, Mean AP = 0.5222, Mean SSIM = 0.9566, Mean PSNR = 25.3877 || Time: 10.0921 sec.\n",
      "===> Epoch[11](3220/5770): Loss: 130.9920 || Time: 0.3289 sec.\n",
      "===> Epoch[11](3240/5770): Loss: 241.6895 || Time: 0.3286 sec.\n",
      "===> Epoch[11](3260/5770): Loss: 544.6395 || Time: 0.3316 sec.\n",
      "===> Epoch[11](3280/5770): Loss: 124.1178 || Time: 0.3355 sec.\n",
      "===> Epoch[11](3300/5770): Loss: 205.3095 || Time: 0.3558 sec.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> Epoch[11](3320/5770): Loss: 240.1242 || Time: 0.3335 sec.\n",
      "===> Epoch[11](3340/5770): Loss: 239.7623 || Time: 0.3335 sec.\n",
      "===> Epoch[11](3360/5770): Loss: 183.3844 || Time: 0.3376 sec.\n",
      "===> Epoch[11](3380/5770): Loss: 285.1844 || Time: 0.3399 sec.\n",
      "===> Epoch[11](3400/5770): Loss: 157.1200 || Time: 0.3479 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 221.3083, Mean AP = 0.5276, Mean SSIM = 0.9568, Mean PSNR = 25.4049 || Time: 10.0921 sec.\n",
      "===> Epoch[11](3420/5770): Loss: 296.4042 || Time: 0.3290 sec.\n",
      "===> Epoch[11](3440/5770): Loss: 244.1813 || Time: 0.3485 sec.\n",
      "===> Epoch[11](3460/5770): Loss: 60.0337 || Time: 0.3299 sec.\n",
      "===> Epoch[11](3480/5770): Loss: 48.8287 || Time: 0.3382 sec.\n",
      "===> Epoch[11](3500/5770): Loss: 154.5388 || Time: 0.3339 sec.\n",
      "===> Epoch[11](3520/5770): Loss: 248.9552 || Time: 0.3338 sec.\n",
      "===> Epoch[11](3540/5770): Loss: 54.9093 || Time: 0.3363 sec.\n",
      "===> Epoch[11](3560/5770): Loss: 123.9588 || Time: 0.3333 sec.\n",
      "===> Epoch[11](3580/5770): Loss: 190.4601 || Time: 0.3424 sec.\n",
      "===> Epoch[11](3600/5770): Loss: 142.8076 || Time: 0.3449 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 211.6722, Mean AP = 0.5758, Mean SSIM = 0.9568, Mean PSNR = 25.3862 || Time: 10.2162 sec.\n",
      "===> Epoch[11](3620/5770): Loss: 257.7256 || Time: 0.3308 sec.\n",
      "===> Epoch[11](3640/5770): Loss: 158.1109 || Time: 0.3317 sec.\n",
      "===> Epoch[11](3660/5770): Loss: 145.2458 || Time: 0.3302 sec.\n",
      "===> Epoch[11](3680/5770): Loss: 371.1152 || Time: 0.3330 sec.\n",
      "===> Epoch[11](3700/5770): Loss: 130.5700 || Time: 0.3373 sec.\n",
      "===> Epoch[11](3720/5770): Loss: 531.4326 || Time: 0.3331 sec.\n",
      "===> Epoch[11](3740/5770): Loss: 259.5661 || Time: 0.3322 sec.\n",
      "===> Epoch[11](3760/5770): Loss: 111.2456 || Time: 0.3331 sec.\n",
      "===> Epoch[11](3780/5770): Loss: 224.9693 || Time: 0.3337 sec.\n",
      "===> Epoch[11](3800/5770): Loss: 52.0844 || Time: 0.3349 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 213.7141, Mean AP = 0.5217, Mean SSIM = 0.9559, Mean PSNR = 25.3638 || Time: 10.0582 sec.\n",
      "===> Epoch[11](3820/5770): Loss: 87.6089 || Time: 0.3450 sec.\n",
      "===> Epoch[11](3840/5770): Loss: 131.3030 || Time: 0.3393 sec.\n",
      "===> Epoch[11](3860/5770): Loss: 113.3050 || Time: 0.3360 sec.\n",
      "===> Epoch[11](3880/5770): Loss: 128.2924 || Time: 0.3335 sec.\n",
      "===> Epoch[11](3900/5770): Loss: 230.2587 || Time: 0.3304 sec.\n",
      "===> Epoch[11](3920/5770): Loss: 129.4920 || Time: 0.3341 sec.\n",
      "===> Epoch[11](3940/5770): Loss: 60.6194 || Time: 0.3420 sec.\n",
      "===> Epoch[11](3960/5770): Loss: 242.4796 || Time: 0.3456 sec.\n",
      "===> Epoch[11](3980/5770): Loss: 288.4621 || Time: 0.3314 sec.\n",
      "===> Epoch[11](4000/5770): Loss: 220.4476 || Time: 0.3375 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 216.7816, Mean AP = 0.5291, Mean SSIM = 0.9570, Mean PSNR = 25.4172 || Time: 10.0631 sec.\n",
      "Saving state, iter: 4000\n",
      "===> Epoch[11](4020/5770): Loss: 59.2308 || Time: 0.3284 sec.\n",
      "===> Epoch[11](4040/5770): Loss: 289.5280 || Time: 0.3318 sec.\n",
      "===> Epoch[11](4060/5770): Loss: 110.8673 || Time: 0.3313 sec.\n",
      "===> Epoch[11](4080/5770): Loss: 228.6559 || Time: 0.3339 sec.\n",
      "===> Epoch[11](4100/5770): Loss: 72.7124 || Time: 0.3338 sec.\n",
      "===> Epoch[11](4120/5770): Loss: 233.7073 || Time: 0.3411 sec.\n",
      "===> Epoch[11](4140/5770): Loss: 113.0553 || Time: 0.3505 sec.\n",
      "===> Epoch[11](4160/5770): Loss: 100.8966 || Time: 0.3322 sec.\n",
      "===> Epoch[11](4180/5770): Loss: 219.0804 || Time: 0.3462 sec.\n",
      "===> Epoch[11](4200/5770): Loss: 259.1776 || Time: 0.3656 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 204.9002, Mean AP = 0.5263, Mean SSIM = 0.9571, Mean PSNR = 25.4065 || Time: 10.1772 sec.\n",
      "===> Epoch[11](4220/5770): Loss: 287.0737 || Time: 0.3311 sec.\n",
      "===> Epoch[11](4240/5770): Loss: 149.6868 || Time: 0.3281 sec.\n",
      "===> Epoch[11](4260/5770): Loss: 217.1671 || Time: 0.3415 sec.\n",
      "===> Epoch[11](4280/5770): Loss: 66.9155 || Time: 0.3299 sec.\n",
      "===> Epoch[11](4300/5770): Loss: 207.9418 || Time: 0.3296 sec.\n",
      "===> Epoch[11](4320/5770): Loss: 339.1746 || Time: 0.3342 sec.\n",
      "===> Epoch[11](4340/5770): Loss: 468.2546 || Time: 0.3314 sec.\n",
      "===> Epoch[11](4360/5770): Loss: 135.1817 || Time: 0.3349 sec.\n",
      "===> Epoch[11](4380/5770): Loss: 77.3884 || Time: 0.3308 sec.\n",
      "===> Epoch[11](4400/5770): Loss: 543.5339 || Time: 0.3375 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 213.2364, Mean AP = 0.5227, Mean SSIM = 0.9570, Mean PSNR = 25.4027 || Time: 10.1256 sec.\n",
      "===> Epoch[11](4420/5770): Loss: 35.1451 || Time: 0.3304 sec.\n",
      "===> Epoch[11](4440/5770): Loss: 108.7538 || Time: 0.3523 sec.\n",
      "===> Epoch[11](4460/5770): Loss: 76.2106 || Time: 0.3338 sec.\n",
      "===> Epoch[11](4480/5770): Loss: 196.7708 || Time: 0.3399 sec.\n",
      "===> Epoch[11](4500/5770): Loss: 242.1762 || Time: 0.3317 sec.\n",
      "===> Epoch[11](4520/5770): Loss: 279.7442 || Time: 0.3308 sec.\n",
      "===> Epoch[11](4540/5770): Loss: 572.5242 || Time: 0.3475 sec.\n",
      "===> Epoch[11](4560/5770): Loss: 273.3739 || Time: 0.3404 sec.\n",
      "===> Epoch[11](4580/5770): Loss: 244.0085 || Time: 0.3323 sec.\n",
      "===> Epoch[11](4600/5770): Loss: 301.2149 || Time: 0.3343 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 229.9930, Mean AP = 0.5242, Mean SSIM = 0.9567, Mean PSNR = 25.3664 || Time: 10.2021 sec.\n",
      "===> Epoch[11](4620/5770): Loss: 273.3682 || Time: 0.3287 sec.\n",
      "===> Epoch[11](4640/5770): Loss: 336.0629 || Time: 0.3353 sec.\n",
      "===> Epoch[11](4660/5770): Loss: 41.5384 || Time: 0.3319 sec.\n",
      "===> Epoch[11](4680/5770): Loss: 120.8309 || Time: 0.3292 sec.\n",
      "===> Epoch[11](4700/5770): Loss: 252.7553 || Time: 0.3427 sec.\n",
      "===> Epoch[11](4720/5770): Loss: 144.4968 || Time: 0.3567 sec.\n",
      "===> Epoch[11](4740/5770): Loss: 111.0980 || Time: 0.3300 sec.\n",
      "===> Epoch[11](4760/5770): Loss: 215.5879 || Time: 0.3308 sec.\n",
      "===> Epoch[11](4780/5770): Loss: 120.4713 || Time: 0.3323 sec.\n",
      "===> Epoch[11](4800/5770): Loss: 248.2213 || Time: 0.3409 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 214.9573, Mean AP = 0.5244, Mean SSIM = 0.9561, Mean PSNR = 25.2553 || Time: 10.1250 sec.\n",
      "===> Epoch[11](4820/5770): Loss: 48.6443 || Time: 0.3304 sec.\n",
      "===> Epoch[11](4840/5770): Loss: 295.2173 || Time: 0.3322 sec.\n",
      "===> Epoch[11](4860/5770): Loss: 351.8860 || Time: 0.3346 sec.\n",
      "===> Epoch[11](4880/5770): Loss: 443.9018 || Time: 0.3318 sec.\n",
      "===> Epoch[11](4900/5770): Loss: 227.0106 || Time: 0.3300 sec.\n",
      "===> Epoch[11](4920/5770): Loss: 101.6353 || Time: 0.3343 sec.\n",
      "===> Epoch[11](4940/5770): Loss: 132.9309 || Time: 0.3336 sec.\n",
      "===> Epoch[11](4960/5770): Loss: 196.9511 || Time: 0.3321 sec.\n",
      "===> Epoch[11](4980/5770): Loss: 217.2668 || Time: 0.3524 sec.\n",
      "===> Epoch[11](5000/5770): Loss: 138.6026 || Time: 0.3475 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 233.9623, Mean AP = 0.5724, Mean SSIM = 0.9569, Mean PSNR = 25.3915 || Time: 10.2967 sec.\n",
      "Saving state, iter: 5000\n",
      "===> Epoch[11](5020/5770): Loss: 295.7083 || Time: 0.3338 sec.\n",
      "===> Epoch[11](5040/5770): Loss: 77.2482 || Time: 0.3321 sec.\n",
      "===> Epoch[11](5060/5770): Loss: 130.3213 || Time: 0.3303 sec.\n",
      "===> Epoch[11](5080/5770): Loss: 219.8994 || Time: 0.3310 sec.\n",
      "===> Epoch[11](5100/5770): Loss: 615.0587 || Time: 0.3478 sec.\n",
      "===> Epoch[11](5120/5770): Loss: 65.4515 || Time: 0.3333 sec.\n",
      "===> Epoch[11](5140/5770): Loss: 294.2625 || Time: 0.3533 sec.\n",
      "===> Epoch[11](5160/5770): Loss: 65.5913 || Time: 0.3346 sec.\n",
      "===> Epoch[11](5180/5770): Loss: 318.8351 || Time: 0.3346 sec.\n",
      "===> Epoch[11](5200/5770): Loss: 99.2159 || Time: 0.3331 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 230.8121, Mean AP = 0.5723, Mean SSIM = 0.9571, Mean PSNR = 25.4072 || Time: 10.0974 sec.\n",
      "===> Epoch[11](5220/5770): Loss: 97.7682 || Time: 0.3308 sec.\n",
      "===> Epoch[11](5240/5770): Loss: 194.3843 || Time: 0.3297 sec.\n",
      "===> Epoch[11](5260/5770): Loss: 229.5477 || Time: 0.3316 sec.\n",
      "===> Epoch[11](5280/5770): Loss: 229.1756 || Time: 0.3335 sec.\n",
      "===> Epoch[11](5300/5770): Loss: 130.6452 || Time: 0.3332 sec.\n",
      "===> Epoch[11](5320/5770): Loss: 298.1768 || Time: 0.3349 sec.\n",
      "===> Epoch[11](5340/5770): Loss: 145.3348 || Time: 0.3328 sec.\n",
      "===> Epoch[11](5360/5770): Loss: 49.8507 || Time: 0.3370 sec.\n",
      "===> Epoch[11](5380/5770): Loss: 190.4408 || Time: 0.3501 sec.\n",
      "===> Epoch[11](5400/5770): Loss: 124.1763 || Time: 0.3337 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 232.8563, Mean AP = 0.5232, Mean SSIM = 0.9563, Mean PSNR = 25.0783 || Time: 10.1613 sec.\n",
      "===> Epoch[11](5420/5770): Loss: 201.3394 || Time: 0.3301 sec.\n",
      "===> Epoch[11](5440/5770): Loss: 304.0796 || Time: 0.3316 sec.\n",
      "===> Epoch[11](5460/5770): Loss: 39.5177 || Time: 0.3469 sec.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> Epoch[11](5480/5770): Loss: 179.5820 || Time: 0.3329 sec.\n",
      "===> Epoch[11](5500/5770): Loss: 446.7423 || Time: 0.3450 sec.\n",
      "===> Epoch[11](5520/5770): Loss: 236.0795 || Time: 0.3308 sec.\n",
      "===> Epoch[11](5540/5770): Loss: 390.9430 || Time: 0.3367 sec.\n",
      "===> Epoch[11](5560/5770): Loss: 127.3445 || Time: 0.3355 sec.\n",
      "===> Epoch[11](5580/5770): Loss: 126.2612 || Time: 0.3398 sec.\n",
      "===> Epoch[11](5600/5770): Loss: 334.9726 || Time: 0.3397 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 216.1652, Mean AP = 0.5328, Mean SSIM = 0.9572, Mean PSNR = 25.4042 || Time: 10.1067 sec.\n",
      "===> Epoch 11 Complete: Avg. Loss: 111.4841 || Time: 2175.8414 sec.\n",
      "===> Epoch[12](20/5770): Loss: 138.3100 || Time: 0.3306 sec.\n",
      "===> Epoch[12](40/5770): Loss: 87.4384 || Time: 0.3291 sec.\n",
      "===> Epoch[12](60/5770): Loss: 245.9625 || Time: 0.3313 sec.\n",
      "===> Epoch[12](80/5770): Loss: 118.0459 || Time: 0.3410 sec.\n",
      "===> Epoch[12](100/5770): Loss: 340.3133 || Time: 0.3370 sec.\n",
      "===> Epoch[12](120/5770): Loss: 113.6616 || Time: 0.3326 sec.\n",
      "===> Epoch[12](140/5770): Loss: 356.7418 || Time: 0.3320 sec.\n",
      "===> Epoch[12](160/5770): Loss: 243.9178 || Time: 0.3307 sec.\n",
      "===> Epoch[12](180/5770): Loss: 354.4580 || Time: 0.3321 sec.\n",
      "===> Epoch[12](200/5770): Loss: 225.3826 || Time: 0.3370 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 198.7919, Mean AP = 0.5702, Mean SSIM = 0.9570, Mean PSNR = 25.4163 || Time: 10.1086 sec.\n",
      "===> Epoch[12](220/5770): Loss: 86.6458 || Time: 0.3303 sec.\n",
      "===> Epoch[12](240/5770): Loss: 245.1119 || Time: 0.3344 sec.\n",
      "===> Epoch[12](260/5770): Loss: 178.0207 || Time: 0.3381 sec.\n",
      "===> Epoch[12](280/5770): Loss: 129.5485 || Time: 0.3318 sec.\n",
      "===> Epoch[12](300/5770): Loss: 144.3256 || Time: 0.3330 sec.\n",
      "===> Epoch[12](320/5770): Loss: 150.2715 || Time: 0.3389 sec.\n",
      "===> Epoch[12](340/5770): Loss: 161.2390 || Time: 0.3603 sec.\n",
      "===> Epoch[12](360/5770): Loss: 211.9963 || Time: 0.3344 sec.\n",
      "===> Epoch[12](380/5770): Loss: 175.3687 || Time: 0.3311 sec.\n",
      "===> Epoch[12](400/5770): Loss: 284.0067 || Time: 0.3312 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 207.2059, Mean AP = 0.5211, Mean SSIM = 0.9571, Mean PSNR = 25.4091 || Time: 10.1715 sec.\n",
      "===> Epoch[12](420/5770): Loss: 84.6979 || Time: 0.3309 sec.\n",
      "===> Epoch[12](440/5770): Loss: 429.9194 || Time: 0.3379 sec.\n",
      "===> Epoch[12](460/5770): Loss: 177.2230 || Time: 0.3497 sec.\n",
      "===> Epoch[12](480/5770): Loss: 57.7850 || Time: 0.3475 sec.\n",
      "===> Epoch[12](500/5770): Loss: 70.9942 || Time: 0.3391 sec.\n",
      "===> Epoch[12](520/5770): Loss: 220.2912 || Time: 0.3300 sec.\n",
      "===> Epoch[12](540/5770): Loss: 269.1569 || Time: 0.3414 sec.\n",
      "===> Epoch[12](560/5770): Loss: 213.5032 || Time: 0.3320 sec.\n",
      "===> Epoch[12](580/5770): Loss: 240.6945 || Time: 0.3314 sec.\n",
      "===> Epoch[12](600/5770): Loss: 48.2806 || Time: 0.3333 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 212.3908, Mean AP = 0.5724, Mean SSIM = 0.9573, Mean PSNR = 25.4109 || Time: 10.1163 sec.\n",
      "===> Epoch[12](620/5770): Loss: 118.5788 || Time: 0.3299 sec.\n",
      "===> Epoch[12](640/5770): Loss: 203.2997 || Time: 0.3290 sec.\n",
      "===> Epoch[12](660/5770): Loss: 117.3834 || Time: 0.3339 sec.\n",
      "===> Epoch[12](680/5770): Loss: 189.8775 || Time: 0.3337 sec.\n",
      "===> Epoch[12](700/5770): Loss: 266.6792 || Time: 0.3506 sec.\n",
      "===> Epoch[12](720/5770): Loss: 94.4762 || Time: 0.3469 sec.\n",
      "===> Epoch[12](740/5770): Loss: 362.2620 || Time: 0.3370 sec.\n",
      "===> Epoch[12](760/5770): Loss: 302.6486 || Time: 0.3504 sec.\n",
      "===> Epoch[12](780/5770): Loss: 433.0056 || Time: 0.3345 sec.\n",
      "===> Epoch[12](800/5770): Loss: 155.9851 || Time: 0.3410 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 220.0005, Mean AP = 0.5710, Mean SSIM = 0.9571, Mean PSNR = 25.3515 || Time: 9.9293 sec.\n",
      "===> Epoch[12](820/5770): Loss: 301.1709 || Time: 0.3300 sec.\n",
      "===> Epoch[12](840/5770): Loss: 287.2328 || Time: 0.3315 sec.\n",
      "===> Epoch[12](860/5770): Loss: 249.3122 || Time: 0.3334 sec.\n",
      "===> Epoch[12](880/5770): Loss: 143.7034 || Time: 0.3353 sec.\n",
      "===> Epoch[12](900/5770): Loss: 287.3965 || Time: 0.3504 sec.\n",
      "===> Epoch[12](920/5770): Loss: 155.1048 || Time: 0.3454 sec.\n",
      "===> Epoch[12](940/5770): Loss: 306.1841 || Time: 0.3375 sec.\n",
      "===> Epoch[12](960/5770): Loss: 89.1065 || Time: 0.3419 sec.\n",
      "===> Epoch[12](980/5770): Loss: 269.6857 || Time: 0.3643 sec.\n",
      "===> Epoch[12](1000/5770): Loss: 87.6261 || Time: 0.3395 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 212.0051, Mean AP = 0.5812, Mean SSIM = 0.9571, Mean PSNR = 25.4066 || Time: 10.1428 sec.\n",
      "Saving state, iter: 1000\n",
      "===> Epoch[12](1020/5770): Loss: 254.7307 || Time: 0.3288 sec.\n",
      "===> Epoch[12](1040/5770): Loss: 244.7533 || Time: 0.3410 sec.\n",
      "===> Epoch[12](1060/5770): Loss: 124.0487 || Time: 0.3369 sec.\n",
      "===> Epoch[12](1080/5770): Loss: 598.0843 || Time: 0.3350 sec.\n",
      "===> Epoch[12](1100/5770): Loss: 323.2249 || Time: 0.3378 sec.\n",
      "===> Epoch[12](1120/5770): Loss: 285.9352 || Time: 0.3390 sec.\n",
      "===> Epoch[12](1140/5770): Loss: 104.9445 || Time: 0.3565 sec.\n",
      "===> Epoch[12](1160/5770): Loss: 229.2107 || Time: 0.3326 sec.\n",
      "===> Epoch[12](1180/5770): Loss: 116.0154 || Time: 0.3328 sec.\n",
      "===> Epoch[12](1200/5770): Loss: 146.8371 || Time: 0.3482 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 222.6873, Mean AP = 0.5753, Mean SSIM = 0.9570, Mean PSNR = 25.3028 || Time: 9.9356 sec.\n",
      "===> Epoch[12](1220/5770): Loss: 314.3790 || Time: 0.3309 sec.\n",
      "===> Epoch[12](1240/5770): Loss: 298.8853 || Time: 0.3346 sec.\n",
      "===> Epoch[12](1260/5770): Loss: 556.0042 || Time: 0.3313 sec.\n",
      "===> Epoch[12](1280/5770): Loss: 258.0981 || Time: 0.3358 sec.\n",
      "===> Epoch[12](1300/5770): Loss: 116.5388 || Time: 0.3378 sec.\n",
      "===> Epoch[12](1320/5770): Loss: 412.8716 || Time: 0.3351 sec.\n",
      "===> Epoch[12](1340/5770): Loss: 159.8893 || Time: 0.3307 sec.\n",
      "===> Epoch[12](1360/5770): Loss: 128.2201 || Time: 0.3295 sec.\n",
      "===> Epoch[12](1380/5770): Loss: 141.5730 || Time: 0.3365 sec.\n",
      "===> Epoch[12](1400/5770): Loss: 228.3531 || Time: 0.3325 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 233.2685, Mean AP = 0.5217, Mean SSIM = 0.9570, Mean PSNR = 25.4144 || Time: 10.1219 sec.\n",
      "===> Epoch[12](1420/5770): Loss: 241.3931 || Time: 0.3296 sec.\n",
      "===> Epoch[12](1440/5770): Loss: 231.2229 || Time: 0.3334 sec.\n",
      "===> Epoch[12](1460/5770): Loss: 242.4807 || Time: 0.3317 sec.\n",
      "===> Epoch[12](1480/5770): Loss: 186.8282 || Time: 0.3456 sec.\n",
      "===> Epoch[12](1500/5770): Loss: 282.2999 || Time: 0.3362 sec.\n",
      "===> Epoch[12](1520/5770): Loss: 163.8916 || Time: 0.3317 sec.\n",
      "===> Epoch[12](1540/5770): Loss: 227.0446 || Time: 0.3385 sec.\n",
      "===> Epoch[12](1560/5770): Loss: 312.5277 || Time: 0.3301 sec.\n",
      "===> Epoch[12](1580/5770): Loss: 92.1649 || Time: 0.3513 sec.\n",
      "===> Epoch[12](1600/5770): Loss: 66.6245 || Time: 0.3466 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 229.5538, Mean AP = 0.5174, Mean SSIM = 0.9568, Mean PSNR = 25.3896 || Time: 10.1177 sec.\n",
      "===> Epoch[12](1620/5770): Loss: 344.5469 || Time: 0.3292 sec.\n",
      "===> Epoch[12](1640/5770): Loss: 356.6463 || Time: 0.3355 sec.\n",
      "===> Epoch[12](1660/5770): Loss: 123.0252 || Time: 0.3342 sec.\n",
      "===> Epoch[12](1680/5770): Loss: 145.0299 || Time: 0.3378 sec.\n",
      "===> Epoch[12](1700/5770): Loss: 319.7145 || Time: 0.3360 sec.\n",
      "===> Epoch[12](1720/5770): Loss: 137.0918 || Time: 0.3603 sec.\n",
      "===> Epoch[12](1740/5770): Loss: 500.7833 || Time: 0.3330 sec.\n",
      "===> Epoch[12](1760/5770): Loss: 250.0577 || Time: 0.3351 sec.\n",
      "===> Epoch[12](1780/5770): Loss: 256.9152 || Time: 0.3329 sec.\n",
      "===> Epoch[12](1800/5770): Loss: 93.9384 || Time: 0.3583 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 221.1435, Mean AP = 0.5263, Mean SSIM = 0.9569, Mean PSNR = 25.4052 || Time: 10.1466 sec.\n",
      "===> Epoch[12](1820/5770): Loss: 135.4155 || Time: 0.3323 sec.\n",
      "===> Epoch[12](1840/5770): Loss: 456.2330 || Time: 0.3362 sec.\n",
      "===> Epoch[12](1860/5770): Loss: 282.7404 || Time: 0.3403 sec.\n",
      "===> Epoch[12](1880/5770): Loss: 167.7449 || Time: 0.3334 sec.\n",
      "===> Epoch[12](1900/5770): Loss: 145.3046 || Time: 0.3357 sec.\n",
      "===> Epoch[12](1920/5770): Loss: 301.7996 || Time: 0.3315 sec.\n",
      "===> Epoch[12](1940/5770): Loss: 117.2587 || Time: 0.3369 sec.\n",
      "===> Epoch[12](1960/5770): Loss: 153.6094 || Time: 0.3339 sec.\n",
      "===> Epoch[12](1980/5770): Loss: 240.8045 || Time: 0.3356 sec.\n",
      "===> Epoch[12](2000/5770): Loss: 221.3006 || Time: 0.3344 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 222.9056, Mean AP = 0.5236, Mean SSIM = 0.9566, Mean PSNR = 25.3762 || Time: 10.1306 sec.\n",
      "Saving state, iter: 2000\n",
      "===> Epoch[12](2020/5770): Loss: 130.8924 || Time: 0.3288 sec.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> Epoch[12](2040/5770): Loss: 409.8447 || Time: 0.3319 sec.\n",
      "===> Epoch[12](2060/5770): Loss: 168.2439 || Time: 0.3330 sec.\n",
      "===> Epoch[12](2080/5770): Loss: 110.4081 || Time: 0.3332 sec.\n",
      "===> Epoch[12](2100/5770): Loss: 186.4715 || Time: 0.3345 sec.\n",
      "===> Epoch[12](2120/5770): Loss: 120.2772 || Time: 0.3307 sec.\n",
      "===> Epoch[12](2140/5770): Loss: 248.0300 || Time: 0.3351 sec.\n",
      "===> Epoch[12](2160/5770): Loss: 275.6427 || Time: 0.3381 sec.\n",
      "===> Epoch[12](2180/5770): Loss: 269.7442 || Time: 0.3312 sec.\n",
      "===> Epoch[12](2200/5770): Loss: 351.7397 || Time: 0.3384 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 229.1237, Mean AP = 0.5277, Mean SSIM = 0.9572, Mean PSNR = 25.4184 || Time: 10.1751 sec.\n",
      "===> Epoch[12](2220/5770): Loss: 101.2804 || Time: 0.3300 sec.\n",
      "===> Epoch[12](2240/5770): Loss: 181.3371 || Time: 0.3350 sec.\n",
      "===> Epoch[12](2260/5770): Loss: 122.3917 || Time: 0.3340 sec.\n",
      "===> Epoch[12](2280/5770): Loss: 453.7604 || Time: 0.3569 sec.\n",
      "===> Epoch[12](2300/5770): Loss: 299.6528 || Time: 0.3311 sec.\n",
      "===> Epoch[12](2320/5770): Loss: 105.3698 || Time: 0.3440 sec.\n",
      "===> Epoch[12](2340/5770): Loss: 506.6994 || Time: 0.3494 sec.\n",
      "===> Epoch[12](2360/5770): Loss: 136.9162 || Time: 0.3558 sec.\n",
      "===> Epoch[12](2380/5770): Loss: 329.9314 || Time: 0.3373 sec.\n",
      "===> Epoch[12](2400/5770): Loss: 150.8745 || Time: 0.3324 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 251.1734, Mean AP = 0.5255, Mean SSIM = 0.9570, Mean PSNR = 25.4118 || Time: 10.0354 sec.\n",
      "===> Epoch[12](2420/5770): Loss: 116.7352 || Time: 0.3361 sec.\n",
      "===> Epoch[12](2440/5770): Loss: 472.9377 || Time: 0.3324 sec.\n",
      "===> Epoch[12](2460/5770): Loss: 77.1984 || Time: 0.3384 sec.\n",
      "===> Epoch[12](2480/5770): Loss: 429.8636 || Time: 0.3351 sec.\n",
      "===> Epoch[12](2500/5770): Loss: 155.4246 || Time: 0.3312 sec.\n",
      "===> Epoch[12](2520/5770): Loss: 299.3512 || Time: 0.3398 sec.\n",
      "===> Epoch[12](2540/5770): Loss: 369.0024 || Time: 0.3323 sec.\n",
      "===> Epoch[12](2560/5770): Loss: 463.8451 || Time: 0.3372 sec.\n",
      "===> Epoch[12](2580/5770): Loss: 580.2206 || Time: 0.3360 sec.\n",
      "===> Epoch[12](2600/5770): Loss: 142.0883 || Time: 0.3325 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 222.8779, Mean AP = 0.5225, Mean SSIM = 0.9563, Mean PSNR = 25.3811 || Time: 10.1091 sec.\n",
      "===> Epoch[12](2620/5770): Loss: 60.5844 || Time: 0.3313 sec.\n",
      "===> Epoch[12](2640/5770): Loss: 185.0763 || Time: 0.3373 sec.\n",
      "===> Epoch[12](2660/5770): Loss: 113.9459 || Time: 0.3424 sec.\n",
      "===> Epoch[12](2680/5770): Loss: 342.9293 || Time: 0.3370 sec.\n",
      "===> Epoch[12](2700/5770): Loss: 204.1288 || Time: 0.3342 sec.\n",
      "===> Epoch[12](2720/5770): Loss: 301.6373 || Time: 0.3413 sec.\n",
      "===> Epoch[12](2740/5770): Loss: 265.5763 || Time: 0.3449 sec.\n",
      "===> Epoch[12](2760/5770): Loss: 94.8064 || Time: 0.3463 sec.\n",
      "===> Epoch[12](2780/5770): Loss: 439.1646 || Time: 0.3460 sec.\n",
      "===> Epoch[12](2800/5770): Loss: 137.5500 || Time: 0.3381 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 237.5343, Mean AP = 0.5296, Mean SSIM = 0.9567, Mean PSNR = 25.3806 || Time: 10.0681 sec.\n",
      "===> Epoch[12](2820/5770): Loss: 218.8297 || Time: 0.3318 sec.\n",
      "===> Epoch[12](2840/5770): Loss: 81.3067 || Time: 0.3307 sec.\n",
      "===> Epoch[12](2860/5770): Loss: 148.9121 || Time: 0.3364 sec.\n",
      "===> Epoch[12](2880/5770): Loss: 291.1588 || Time: 0.3372 sec.\n",
      "===> Epoch[12](2900/5770): Loss: 815.6041 || Time: 0.3410 sec.\n",
      "===> Epoch[12](2920/5770): Loss: 304.7959 || Time: 0.3459 sec.\n",
      "===> Epoch[12](2940/5770): Loss: 461.8525 || Time: 0.3371 sec.\n",
      "===> Epoch[12](2960/5770): Loss: 259.6494 || Time: 0.3370 sec.\n",
      "===> Epoch[12](2980/5770): Loss: 248.7420 || Time: 0.3383 sec.\n",
      "===> Epoch[12](3000/5770): Loss: 199.2568 || Time: 0.3315 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 221.1417, Mean AP = 0.5743, Mean SSIM = 0.9570, Mean PSNR = 25.3816 || Time: 10.0831 sec.\n",
      "Saving state, iter: 3000\n",
      "===> Epoch[12](3020/5770): Loss: 303.8058 || Time: 0.3405 sec.\n",
      "===> Epoch[12](3040/5770): Loss: 197.4544 || Time: 0.3451 sec.\n",
      "===> Epoch[12](3060/5770): Loss: 382.5216 || Time: 0.3370 sec.\n",
      "===> Epoch[12](3080/5770): Loss: 255.4099 || Time: 0.3307 sec.\n",
      "===> Epoch[12](3100/5770): Loss: 282.9920 || Time: 0.3320 sec.\n",
      "===> Epoch[12](3120/5770): Loss: 76.5769 || Time: 0.3316 sec.\n",
      "===> Epoch[12](3140/5770): Loss: 136.8101 || Time: 0.3558 sec.\n",
      "===> Epoch[12](3160/5770): Loss: 143.8540 || Time: 0.3408 sec.\n",
      "===> Epoch[12](3180/5770): Loss: 327.9382 || Time: 0.3367 sec.\n",
      "===> Epoch[12](3200/5770): Loss: 224.6257 || Time: 0.3317 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 225.6903, Mean AP = 0.5310, Mean SSIM = 0.9568, Mean PSNR = 25.3721 || Time: 10.0902 sec.\n",
      "===> Epoch[12](3220/5770): Loss: 133.3879 || Time: 0.3311 sec.\n",
      "===> Epoch[12](3240/5770): Loss: 241.3472 || Time: 0.3316 sec.\n",
      "===> Epoch[12](3260/5770): Loss: 541.7517 || Time: 0.3292 sec.\n",
      "===> Epoch[12](3280/5770): Loss: 123.4547 || Time: 0.3359 sec.\n",
      "===> Epoch[12](3300/5770): Loss: 204.1428 || Time: 0.3345 sec.\n",
      "===> Epoch[12](3320/5770): Loss: 237.9708 || Time: 0.3363 sec.\n",
      "===> Epoch[12](3340/5770): Loss: 238.7340 || Time: 0.3323 sec.\n",
      "===> Epoch[12](3360/5770): Loss: 181.9916 || Time: 0.3309 sec.\n",
      "===> Epoch[12](3380/5770): Loss: 283.8273 || Time: 0.3391 sec.\n",
      "===> Epoch[12](3400/5770): Loss: 148.3280 || Time: 0.3347 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 220.3782, Mean AP = 0.5294, Mean SSIM = 0.9569, Mean PSNR = 25.4001 || Time: 10.0419 sec.\n",
      "===> Epoch[12](3420/5770): Loss: 296.3387 || Time: 0.3314 sec.\n",
      "===> Epoch[12](3440/5770): Loss: 243.5061 || Time: 0.3333 sec.\n",
      "===> Epoch[12](3460/5770): Loss: 59.7879 || Time: 0.3436 sec.\n",
      "===> Epoch[12](3480/5770): Loss: 48.5185 || Time: 0.3355 sec.\n",
      "===> Epoch[12](3500/5770): Loss: 153.4262 || Time: 0.3332 sec.\n",
      "===> Epoch[12](3520/5770): Loss: 247.6950 || Time: 0.3552 sec.\n",
      "===> Epoch[12](3540/5770): Loss: 54.5902 || Time: 0.3359 sec.\n",
      "===> Epoch[12](3560/5770): Loss: 123.8518 || Time: 0.3334 sec.\n",
      "===> Epoch[12](3580/5770): Loss: 190.0151 || Time: 0.3372 sec.\n",
      "===> Epoch[12](3600/5770): Loss: 141.6357 || Time: 0.3326 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 210.3271, Mean AP = 0.5793, Mean SSIM = 0.9570, Mean PSNR = 25.3906 || Time: 10.0872 sec.\n",
      "===> Epoch[12](3620/5770): Loss: 253.3515 || Time: 0.3378 sec.\n",
      "===> Epoch[12](3640/5770): Loss: 157.6286 || Time: 0.3312 sec.\n",
      "===> Epoch[12](3660/5770): Loss: 144.0278 || Time: 0.3314 sec.\n",
      "===> Epoch[12](3680/5770): Loss: 369.6310 || Time: 0.3402 sec.\n",
      "===> Epoch[12](3700/5770): Loss: 129.1643 || Time: 0.3347 sec.\n",
      "===> Epoch[12](3720/5770): Loss: 523.1851 || Time: 0.3297 sec.\n",
      "===> Epoch[12](3740/5770): Loss: 258.4238 || Time: 0.3324 sec.\n",
      "===> Epoch[12](3760/5770): Loss: 111.1690 || Time: 0.3333 sec.\n",
      "===> Epoch[12](3780/5770): Loss: 224.5688 || Time: 0.3443 sec.\n",
      "===> Epoch[12](3800/5770): Loss: 54.8902 || Time: 0.3335 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 212.3759, Mean AP = 0.5829, Mean SSIM = 0.9570, Mean PSNR = 25.3221 || Time: 10.0733 sec.\n",
      "===> Epoch[12](3820/5770): Loss: 90.9631 || Time: 0.3300 sec.\n",
      "===> Epoch[12](3840/5770): Loss: 135.0759 || Time: 0.3340 sec.\n",
      "===> Epoch[12](3860/5770): Loss: 114.4242 || Time: 0.3427 sec.\n",
      "===> Epoch[12](3880/5770): Loss: 126.8908 || Time: 0.3338 sec.\n",
      "===> Epoch[12](3900/5770): Loss: 230.7151 || Time: 0.3319 sec.\n",
      "===> Epoch[12](3920/5770): Loss: 128.9282 || Time: 0.3456 sec.\n",
      "===> Epoch[12](3940/5770): Loss: 60.3449 || Time: 0.3358 sec.\n",
      "===> Epoch[12](3960/5770): Loss: 242.3801 || Time: 0.3344 sec.\n",
      "===> Epoch[12](3980/5770): Loss: 286.4043 || Time: 0.3380 sec.\n",
      "===> Epoch[12](4000/5770): Loss: 219.4407 || Time: 0.3394 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 217.3846, Mean AP = 0.5795, Mean SSIM = 0.9567, Mean PSNR = 25.4096 || Time: 10.0517 sec.\n",
      "Saving state, iter: 4000\n",
      "===> Epoch[12](4020/5770): Loss: 58.8708 || Time: 0.3344 sec.\n",
      "===> Epoch[12](4040/5770): Loss: 287.1179 || Time: 0.3313 sec.\n",
      "===> Epoch[12](4060/5770): Loss: 110.2312 || Time: 0.3393 sec.\n",
      "===> Epoch[12](4080/5770): Loss: 227.8309 || Time: 0.3458 sec.\n",
      "===> Epoch[12](4100/5770): Loss: 72.4860 || Time: 0.3346 sec.\n",
      "===> Epoch[12](4120/5770): Loss: 232.3438 || Time: 0.3435 sec.\n",
      "===> Epoch[12](4140/5770): Loss: 113.1951 || Time: 0.3425 sec.\n",
      "===> Epoch[12](4160/5770): Loss: 102.4334 || Time: 0.3326 sec.\n",
      "===> Epoch[12](4180/5770): Loss: 219.5226 || Time: 0.3322 sec.\n",
      "===> Epoch[12](4200/5770): Loss: 259.2707 || Time: 0.3356 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 203.8248, Mean AP = 0.5708, Mean SSIM = 0.9574, Mean PSNR = 25.4168 || Time: 10.0748 sec.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> Epoch[12](4220/5770): Loss: 286.3072 || Time: 0.3293 sec.\n",
      "===> Epoch[12](4240/5770): Loss: 147.8603 || Time: 0.3355 sec.\n",
      "===> Epoch[12](4260/5770): Loss: 215.9095 || Time: 0.3318 sec.\n",
      "===> Epoch[12](4280/5770): Loss: 66.6059 || Time: 0.3381 sec.\n",
      "===> Epoch[12](4300/5770): Loss: 207.7026 || Time: 0.3466 sec.\n",
      "===> Epoch[12](4320/5770): Loss: 336.0201 || Time: 0.3369 sec.\n",
      "===> Epoch[12](4340/5770): Loss: 459.5085 || Time: 0.3343 sec.\n",
      "===> Epoch[12](4360/5770): Loss: 132.6498 || Time: 0.3534 sec.\n",
      "===> Epoch[12](4380/5770): Loss: 75.6215 || Time: 0.3356 sec.\n",
      "===> Epoch[12](4400/5770): Loss: 539.9279 || Time: 0.3315 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 211.7105, Mean AP = 0.5237, Mean SSIM = 0.9572, Mean PSNR = 25.4096 || Time: 10.0141 sec.\n",
      "===> Epoch[12](4420/5770): Loss: 34.1672 || Time: 0.3294 sec.\n",
      "===> Epoch[12](4440/5770): Loss: 108.2688 || Time: 0.3316 sec.\n",
      "===> Epoch[12](4460/5770): Loss: 75.4205 || Time: 0.3375 sec.\n",
      "===> Epoch[12](4480/5770): Loss: 190.4300 || Time: 0.3361 sec.\n",
      "===> Epoch[12](4500/5770): Loss: 244.9362 || Time: 0.3289 sec.\n",
      "===> Epoch[12](4520/5770): Loss: 279.3123 || Time: 0.3303 sec.\n",
      "===> Epoch[12](4540/5770): Loss: 571.9498 || Time: 0.3326 sec.\n",
      "===> Epoch[12](4560/5770): Loss: 263.4785 || Time: 0.3394 sec.\n",
      "===> Epoch[12](4580/5770): Loss: 244.0573 || Time: 0.3368 sec.\n",
      "===> Epoch[12](4600/5770): Loss: 300.4345 || Time: 0.3359 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 227.3169, Mean AP = 0.5766, Mean SSIM = 0.9569, Mean PSNR = 25.3937 || Time: 10.1700 sec.\n",
      "===> Epoch[12](4620/5770): Loss: 276.1976 || Time: 0.3287 sec.\n",
      "===> Epoch[12](4640/5770): Loss: 334.3932 || Time: 0.3302 sec.\n",
      "===> Epoch[12](4660/5770): Loss: 41.2670 || Time: 0.3376 sec.\n",
      "===> Epoch[12](4680/5770): Loss: 120.8638 || Time: 0.3312 sec.\n",
      "===> Epoch[12](4700/5770): Loss: 252.1255 || Time: 0.3324 sec.\n",
      "===> Epoch[12](4720/5770): Loss: 141.7777 || Time: 0.3467 sec.\n",
      "===> Epoch[12](4740/5770): Loss: 110.7051 || Time: 0.3582 sec.\n",
      "===> Epoch[12](4760/5770): Loss: 213.6323 || Time: 0.3299 sec.\n",
      "===> Epoch[12](4780/5770): Loss: 120.0096 || Time: 0.3340 sec.\n",
      "===> Epoch[12](4800/5770): Loss: 247.1728 || Time: 0.3486 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 213.6302, Mean AP = 0.5216, Mean SSIM = 0.9561, Mean PSNR = 25.3952 || Time: 10.0825 sec.\n",
      "===> Epoch[12](4820/5770): Loss: 44.9306 || Time: 0.3295 sec.\n",
      "===> Epoch[12](4840/5770): Loss: 292.0930 || Time: 0.3322 sec.\n",
      "===> Epoch[12](4860/5770): Loss: 349.5674 || Time: 0.3397 sec.\n",
      "===> Epoch[12](4880/5770): Loss: 443.1241 || Time: 0.3306 sec.\n",
      "===> Epoch[12](4900/5770): Loss: 226.0295 || Time: 0.3321 sec.\n",
      "===> Epoch[12](4920/5770): Loss: 99.7396 || Time: 0.3321 sec.\n",
      "===> Epoch[12](4940/5770): Loss: 131.5884 || Time: 0.3321 sec.\n",
      "===> Epoch[12](4960/5770): Loss: 194.5716 || Time: 0.3387 sec.\n",
      "===> Epoch[12](4980/5770): Loss: 214.7235 || Time: 0.3351 sec.\n",
      "===> Epoch[12](5000/5770): Loss: 138.5588 || Time: 0.3336 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 231.6133, Mean AP = 0.5230, Mean SSIM = 0.9571, Mean PSNR = 25.4094 || Time: 10.1126 sec.\n",
      "Saving state, iter: 5000\n",
      "===> Epoch[12](5020/5770): Loss: 291.3497 || Time: 0.3389 sec.\n",
      "===> Epoch[12](5040/5770): Loss: 76.8477 || Time: 0.3420 sec.\n",
      "===> Epoch[12](5060/5770): Loss: 127.8629 || Time: 0.3340 sec.\n",
      "===> Epoch[12](5080/5770): Loss: 218.8283 || Time: 0.3359 sec.\n",
      "===> Epoch[12](5100/5770): Loss: 615.4758 || Time: 0.3359 sec.\n",
      "===> Epoch[12](5120/5770): Loss: 64.2035 || Time: 0.3387 sec.\n",
      "===> Epoch[12](5140/5770): Loss: 291.0809 || Time: 0.3312 sec.\n",
      "===> Epoch[12](5160/5770): Loss: 65.3686 || Time: 0.3506 sec.\n",
      "===> Epoch[12](5180/5770): Loss: 316.4241 || Time: 0.3312 sec.\n",
      "===> Epoch[12](5200/5770): Loss: 98.5591 || Time: 0.3333 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 229.3713, Mean AP = 0.5781, Mean SSIM = 0.9572, Mean PSNR = 25.4181 || Time: 10.0198 sec.\n",
      "===> Epoch[12](5220/5770): Loss: 97.4649 || Time: 0.3303 sec.\n",
      "===> Epoch[12](5240/5770): Loss: 193.1993 || Time: 0.3478 sec.\n",
      "===> Epoch[12](5260/5770): Loss: 234.2794 || Time: 0.3414 sec.\n",
      "===> Epoch[12](5280/5770): Loss: 229.0670 || Time: 0.3318 sec.\n",
      "===> Epoch[12](5300/5770): Loss: 132.5463 || Time: 0.3403 sec.\n",
      "===> Epoch[12](5320/5770): Loss: 298.4779 || Time: 0.3381 sec.\n",
      "===> Epoch[12](5340/5770): Loss: 143.3696 || Time: 0.3346 sec.\n",
      "===> Epoch[12](5360/5770): Loss: 44.3430 || Time: 0.3403 sec.\n",
      "===> Epoch[12](5380/5770): Loss: 172.2476 || Time: 0.3419 sec.\n",
      "===> Epoch[12](5400/5770): Loss: 113.5011 || Time: 0.3318 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 230.0482, Mean AP = 0.5170, Mean SSIM = 0.9572, Mean PSNR = 25.3763 || Time: 10.0748 sec.\n",
      "===> Epoch[12](5420/5770): Loss: 195.6145 || Time: 0.3377 sec.\n",
      "===> Epoch[12](5440/5770): Loss: 300.9786 || Time: 0.3316 sec.\n",
      "===> Epoch[12](5460/5770): Loss: 40.1788 || Time: 0.3403 sec.\n",
      "===> Epoch[12](5480/5770): Loss: 176.8221 || Time: 0.3613 sec.\n",
      "===> Epoch[12](5500/5770): Loss: 445.0493 || Time: 0.3360 sec.\n",
      "===> Epoch[12](5520/5770): Loss: 233.9964 || Time: 0.3541 sec.\n",
      "===> Epoch[12](5540/5770): Loss: 390.1842 || Time: 0.3513 sec.\n",
      "===> Epoch[12](5560/5770): Loss: 124.2935 || Time: 0.3324 sec.\n",
      "===> Epoch[12](5580/5770): Loss: 124.7645 || Time: 0.3315 sec.\n",
      "===> Epoch[12](5600/5770): Loss: 333.5450 || Time: 0.3406 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 214.1183, Mean AP = 0.5738, Mean SSIM = 0.9571, Mean PSNR = 25.4090 || Time: 10.1718 sec.\n",
      "===> Epoch 12 Complete: Avg. Loss: 110.5284 || Time: 2174.3714 sec.\n",
      "===> Epoch[13](20/5770): Loss: 137.3625 || Time: 0.3295 sec.\n",
      "===> Epoch[13](40/5770): Loss: 84.2401 || Time: 0.3379 sec.\n",
      "===> Epoch[13](60/5770): Loss: 245.3527 || Time: 0.3318 sec.\n",
      "===> Epoch[13](80/5770): Loss: 135.3043 || Time: 0.3514 sec.\n",
      "===> Epoch[13](100/5770): Loss: 344.1003 || Time: 0.3425 sec.\n",
      "===> Epoch[13](120/5770): Loss: 122.1393 || Time: 0.3410 sec.\n",
      "===> Epoch[13](140/5770): Loss: 355.7618 || Time: 0.3544 sec.\n",
      "===> Epoch[13](160/5770): Loss: 245.8570 || Time: 0.3500 sec.\n",
      "===> Epoch[13](180/5770): Loss: 353.1298 || Time: 0.3333 sec.\n",
      "===> Epoch[13](200/5770): Loss: 223.1759 || Time: 0.3474 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 201.1036, Mean AP = 0.5248, Mean SSIM = 0.9573, Mean PSNR = 25.3968 || Time: 10.0707 sec.\n",
      "===> Epoch[13](220/5770): Loss: 86.2849 || Time: 0.3279 sec.\n",
      "===> Epoch[13](240/5770): Loss: 244.3180 || Time: 0.3304 sec.\n",
      "===> Epoch[13](260/5770): Loss: 174.5895 || Time: 0.3363 sec.\n",
      "===> Epoch[13](280/5770): Loss: 129.1587 || Time: 0.3344 sec.\n",
      "===> Epoch[13](300/5770): Loss: 143.9961 || Time: 0.3358 sec.\n",
      "===> Epoch[13](320/5770): Loss: 148.7740 || Time: 0.3341 sec.\n",
      "===> Epoch[13](340/5770): Loss: 160.1224 || Time: 0.3336 sec.\n",
      "===> Epoch[13](360/5770): Loss: 211.6937 || Time: 0.3333 sec.\n",
      "===> Epoch[13](380/5770): Loss: 173.8242 || Time: 0.3297 sec.\n",
      "===> Epoch[13](400/5770): Loss: 282.3354 || Time: 0.3410 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 205.7267, Mean AP = 0.5189, Mean SSIM = 0.9572, Mean PSNR = 25.4121 || Time: 10.0961 sec.\n",
      "===> Epoch[13](420/5770): Loss: 83.8636 || Time: 0.3289 sec.\n",
      "===> Epoch[13](440/5770): Loss: 428.8052 || Time: 0.3350 sec.\n",
      "===> Epoch[13](460/5770): Loss: 176.0829 || Time: 0.3294 sec.\n",
      "===> Epoch[13](480/5770): Loss: 57.4102 || Time: 0.3560 sec.\n",
      "===> Epoch[13](500/5770): Loss: 69.0523 || Time: 0.3378 sec.\n",
      "===> Epoch[13](520/5770): Loss: 219.4991 || Time: 0.3336 sec.\n",
      "===> Epoch[13](540/5770): Loss: 267.8887 || Time: 0.3395 sec.\n",
      "===> Epoch[13](560/5770): Loss: 213.1017 || Time: 0.3579 sec.\n",
      "===> Epoch[13](580/5770): Loss: 238.4252 || Time: 0.3333 sec.\n",
      "===> Epoch[13](600/5770): Loss: 47.8656 || Time: 0.3302 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 210.8711, Mean AP = 0.5273, Mean SSIM = 0.9574, Mean PSNR = 25.4162 || Time: 9.9811 sec.\n",
      "===> Epoch[13](620/5770): Loss: 117.2585 || Time: 0.3297 sec.\n",
      "===> Epoch[13](640/5770): Loss: 202.8119 || Time: 0.3370 sec.\n",
      "===> Epoch[13](660/5770): Loss: 116.5392 || Time: 0.3297 sec.\n",
      "===> Epoch[13](680/5770): Loss: 188.6182 || Time: 0.3329 sec.\n",
      "===> Epoch[13](700/5770): Loss: 266.5662 || Time: 0.3343 sec.\n",
      "===> Epoch[13](720/5770): Loss: 94.0779 || Time: 0.3615 sec.\n",
      "===> Epoch[13](740/5770): Loss: 360.1667 || Time: 0.3505 sec.\n",
      "===> Epoch[13](760/5770): Loss: 301.6722 || Time: 0.3427 sec.\n",
      "===> Epoch[13](780/5770): Loss: 431.1013 || Time: 0.3313 sec.\n",
      "===> Epoch[13](800/5770): Loss: 154.8684 || Time: 0.3331 sec.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Evaluating detections\n",
      "Mean Loss = 218.3494, Mean AP = 0.5207, Mean SSIM = 0.9572, Mean PSNR = 25.4108 || Time: 10.1397 sec.\n",
      "===> Epoch[13](820/5770): Loss: 299.4493 || Time: 0.3383 sec.\n",
      "===> Epoch[13](840/5770): Loss: 283.2519 || Time: 0.3609 sec.\n",
      "===> Epoch[13](860/5770): Loss: 248.0343 || Time: 0.3475 sec.\n",
      "===> Epoch[13](880/5770): Loss: 141.9119 || Time: 0.3400 sec.\n",
      "===> Epoch[13](900/5770): Loss: 281.2688 || Time: 0.3435 sec.\n",
      "===> Epoch[13](920/5770): Loss: 153.8669 || Time: 0.3401 sec.\n",
      "===> Epoch[13](940/5770): Loss: 304.8260 || Time: 0.3302 sec.\n",
      "===> Epoch[13](960/5770): Loss: 86.9753 || Time: 0.3389 sec.\n",
      "===> Epoch[13](980/5770): Loss: 267.1111 || Time: 0.3573 sec.\n",
      "===> Epoch[13](1000/5770): Loss: 87.2006 || Time: 0.3753 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 210.2605, Mean AP = 0.5733, Mean SSIM = 0.9572, Mean PSNR = 25.4195 || Time: 10.2470 sec.\n",
      "Saving state, iter: 1000\n",
      "===> Epoch[13](1020/5770): Loss: 253.7428 || Time: 0.3276 sec.\n",
      "===> Epoch[13](1040/5770): Loss: 241.0091 || Time: 0.3414 sec.\n",
      "===> Epoch[13](1060/5770): Loss: 123.3600 || Time: 0.3352 sec.\n",
      "===> Epoch[13](1080/5770): Loss: 597.9180 || Time: 0.3316 sec.\n",
      "===> Epoch[13](1100/5770): Loss: 322.7514 || Time: 0.3314 sec.\n",
      "===> Epoch[13](1120/5770): Loss: 285.7094 || Time: 0.3489 sec.\n",
      "===> Epoch[13](1140/5770): Loss: 104.5901 || Time: 0.3414 sec.\n",
      "===> Epoch[13](1160/5770): Loss: 229.0832 || Time: 0.3353 sec.\n",
      "===> Epoch[13](1180/5770): Loss: 113.5015 || Time: 0.3374 sec.\n",
      "===> Epoch[13](1200/5770): Loss: 146.2749 || Time: 0.3358 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 220.8713, Mean AP = 0.5751, Mean SSIM = 0.9569, Mean PSNR = 25.3828 || Time: 10.1147 sec.\n",
      "===> Epoch[13](1220/5770): Loss: 313.8411 || Time: 0.3303 sec.\n",
      "===> Epoch[13](1240/5770): Loss: 298.6871 || Time: 0.3332 sec.\n",
      "===> Epoch[13](1260/5770): Loss: 555.1275 || Time: 0.3314 sec.\n",
      "===> Epoch[13](1280/5770): Loss: 256.2199 || Time: 0.3430 sec.\n",
      "===> Epoch[13](1300/5770): Loss: 115.7784 || Time: 0.3420 sec.\n",
      "===> Epoch[13](1320/5770): Loss: 411.8867 || Time: 0.3373 sec.\n",
      "===> Epoch[13](1340/5770): Loss: 158.7888 || Time: 0.3312 sec.\n",
      "===> Epoch[13](1360/5770): Loss: 127.3663 || Time: 0.3332 sec.\n",
      "===> Epoch[13](1380/5770): Loss: 140.1765 || Time: 0.3368 sec.\n",
      "===> Epoch[13](1400/5770): Loss: 227.3675 || Time: 0.3339 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 231.7894, Mean AP = 0.5270, Mean SSIM = 0.9571, Mean PSNR = 25.4219 || Time: 10.1148 sec.\n",
      "===> Epoch[13](1420/5770): Loss: 241.1230 || Time: 0.3296 sec.\n",
      "===> Epoch[13](1440/5770): Loss: 229.3520 || Time: 0.3363 sec.\n",
      "===> Epoch[13](1460/5770): Loss: 241.0531 || Time: 0.3383 sec.\n",
      "===> Epoch[13](1480/5770): Loss: 186.8987 || Time: 0.3311 sec.\n",
      "===> Epoch[13](1500/5770): Loss: 282.2640 || Time: 0.3351 sec.\n",
      "===> Epoch[13](1520/5770): Loss: 166.1724 || Time: 0.3349 sec.\n",
      "===> Epoch[13](1540/5770): Loss: 229.4472 || Time: 0.3318 sec.\n",
      "===> Epoch[13](1560/5770): Loss: 318.6312 || Time: 0.3414 sec.\n",
      "===> Epoch[13](1580/5770): Loss: 92.3300 || Time: 0.3317 sec.\n",
      "===> Epoch[13](1600/5770): Loss: 69.6328 || Time: 0.3396 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 229.2523, Mean AP = 0.5199, Mean SSIM = 0.9570, Mean PSNR = 25.3380 || Time: 10.1297 sec.\n",
      "===> Epoch[13](1620/5770): Loss: 342.3697 || Time: 0.3294 sec.\n",
      "===> Epoch[13](1640/5770): Loss: 355.7694 || Time: 0.3321 sec.\n",
      "===> Epoch[13](1660/5770): Loss: 110.0029 || Time: 0.3367 sec.\n",
      "===> Epoch[13](1680/5770): Loss: 143.6406 || Time: 0.3317 sec.\n",
      "===> Epoch[13](1700/5770): Loss: 317.0789 || Time: 0.3401 sec.\n",
      "===> Epoch[13](1720/5770): Loss: 138.7311 || Time: 0.3350 sec.\n",
      "===> Epoch[13](1740/5770): Loss: 493.7238 || Time: 0.3373 sec.\n",
      "===> Epoch[13](1760/5770): Loss: 244.9965 || Time: 0.3353 sec.\n",
      "===> Epoch[13](1780/5770): Loss: 249.5845 || Time: 0.3353 sec.\n",
      "===> Epoch[13](1800/5770): Loss: 92.6150 || Time: 0.3330 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 219.0373, Mean AP = 0.5749, Mean SSIM = 0.9570, Mean PSNR = 25.4107 || Time: 10.1558 sec.\n",
      "===> Epoch[13](1820/5770): Loss: 133.9943 || Time: 0.3353 sec.\n",
      "===> Epoch[13](1840/5770): Loss: 453.0409 || Time: 0.3332 sec.\n",
      "===> Epoch[13](1860/5770): Loss: 281.1485 || Time: 0.3299 sec.\n",
      "===> Epoch[13](1880/5770): Loss: 166.1157 || Time: 0.3527 sec.\n",
      "===> Epoch[13](1900/5770): Loss: 145.4068 || Time: 0.3507 sec.\n",
      "===> Epoch[13](1920/5770): Loss: 301.3055 || Time: 0.3343 sec.\n",
      "===> Epoch[13](1940/5770): Loss: 116.4431 || Time: 0.3404 sec.\n",
      "===> Epoch[13](1960/5770): Loss: 151.6728 || Time: 0.3450 sec.\n",
      "===> Epoch[13](1980/5770): Loss: 239.6477 || Time: 0.3327 sec.\n",
      "===> Epoch[13](2000/5770): Loss: 219.5817 || Time: 0.3356 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 221.3632, Mean AP = 0.5246, Mean SSIM = 0.9570, Mean PSNR = 25.4181 || Time: 10.0922 sec.\n",
      "Saving state, iter: 2000\n",
      "===> Epoch[13](2020/5770): Loss: 130.3053 || Time: 0.3364 sec.\n",
      "===> Epoch[13](2040/5770): Loss: 405.1843 || Time: 0.3442 sec.\n",
      "===> Epoch[13](2060/5770): Loss: 165.0951 || Time: 0.3398 sec.\n",
      "===> Epoch[13](2080/5770): Loss: 108.4149 || Time: 0.3420 sec.\n",
      "===> Epoch[13](2100/5770): Loss: 187.0776 || Time: 0.3398 sec.\n",
      "===> Epoch[13](2120/5770): Loss: 113.3451 || Time: 0.3389 sec.\n",
      "===> Epoch[13](2140/5770): Loss: 237.3434 || Time: 0.3449 sec.\n",
      "===> Epoch[13](2160/5770): Loss: 270.4376 || Time: 0.3421 sec.\n",
      "===> Epoch[13](2180/5770): Loss: 264.8826 || Time: 0.3456 sec.\n",
      "===> Epoch[13](2200/5770): Loss: 346.2030 || Time: 0.3559 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 225.5800, Mean AP = 0.5291, Mean SSIM = 0.9572, Mean PSNR = 25.4209 || Time: 10.1052 sec.\n",
      "===> Epoch[13](2220/5770): Loss: 101.5694 || Time: 0.3288 sec.\n",
      "===> Epoch[13](2240/5770): Loss: 180.7313 || Time: 0.3317 sec.\n",
      "===> Epoch[13](2260/5770): Loss: 122.5426 || Time: 0.3366 sec.\n",
      "===> Epoch[13](2280/5770): Loss: 454.0063 || Time: 0.3487 sec.\n",
      "===> Epoch[13](2300/5770): Loss: 299.9960 || Time: 0.3314 sec.\n",
      "===> Epoch[13](2320/5770): Loss: 104.7898 || Time: 0.3389 sec.\n",
      "===> Epoch[13](2340/5770): Loss: 505.5255 || Time: 0.3349 sec.\n",
      "===> Epoch[13](2360/5770): Loss: 136.8461 || Time: 0.3289 sec.\n",
      "===> Epoch[13](2380/5770): Loss: 328.4871 || Time: 0.3310 sec.\n",
      "===> Epoch[13](2400/5770): Loss: 150.3496 || Time: 0.3353 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 250.5379, Mean AP = 0.5275, Mean SSIM = 0.9571, Mean PSNR = 25.3986 || Time: 10.0739 sec.\n",
      "===> Epoch[13](2420/5770): Loss: 116.2853 || Time: 0.3305 sec.\n",
      "===> Epoch[13](2440/5770): Loss: 470.8574 || Time: 0.3360 sec.\n",
      "===> Epoch[13](2460/5770): Loss: 75.8668 || Time: 0.3364 sec.\n",
      "===> Epoch[13](2480/5770): Loss: 429.3381 || Time: 0.3473 sec.\n",
      "===> Epoch[13](2500/5770): Loss: 155.0441 || Time: 0.3333 sec.\n",
      "===> Epoch[13](2520/5770): Loss: 297.9603 || Time: 0.3312 sec.\n",
      "===> Epoch[13](2540/5770): Loss: 368.2350 || Time: 0.3323 sec.\n",
      "===> Epoch[13](2560/5770): Loss: 460.5574 || Time: 0.3373 sec.\n",
      "===> Epoch[13](2580/5770): Loss: 576.0473 || Time: 0.3431 sec.\n",
      "===> Epoch[13](2600/5770): Loss: 141.8904 || Time: 0.3326 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 221.4793, Mean AP = 0.5271, Mean SSIM = 0.9563, Mean PSNR = 25.3923 || Time: 10.2086 sec.\n",
      "===> Epoch[13](2620/5770): Loss: 60.7652 || Time: 0.3299 sec.\n",
      "===> Epoch[13](2640/5770): Loss: 183.6492 || Time: 0.3318 sec.\n",
      "===> Epoch[13](2660/5770): Loss: 113.5314 || Time: 0.3416 sec.\n",
      "===> Epoch[13](2680/5770): Loss: 339.8470 || Time: 0.3326 sec.\n",
      "===> Epoch[13](2700/5770): Loss: 201.8285 || Time: 0.3389 sec.\n",
      "===> Epoch[13](2720/5770): Loss: 299.6582 || Time: 0.3293 sec.\n",
      "===> Epoch[13](2740/5770): Loss: 264.9531 || Time: 0.3316 sec.\n",
      "===> Epoch[13](2760/5770): Loss: 94.7964 || Time: 0.3357 sec.\n",
      "===> Epoch[13](2780/5770): Loss: 439.6394 || Time: 0.3333 sec.\n",
      "===> Epoch[13](2800/5770): Loss: 137.0639 || Time: 0.3361 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 236.1459, Mean AP = 0.5289, Mean SSIM = 0.9568, Mean PSNR = 25.3779 || Time: 10.0453 sec.\n",
      "===> Epoch[13](2820/5770): Loss: 218.2870 || Time: 0.3300 sec.\n",
      "===> Epoch[13](2840/5770): Loss: 81.2185 || Time: 0.3315 sec.\n",
      "===> Epoch[13](2860/5770): Loss: 148.6356 || Time: 0.3369 sec.\n",
      "===> Epoch[13](2880/5770): Loss: 288.5474 || Time: 0.3402 sec.\n",
      "===> Epoch[13](2900/5770): Loss: 813.2289 || Time: 0.3358 sec.\n",
      "===> Epoch[13](2920/5770): Loss: 303.3440 || Time: 0.3344 sec.\n",
      "===> Epoch[13](2940/5770): Loss: 454.8589 || Time: 0.3330 sec.\n",
      "===> Epoch[13](2960/5770): Loss: 260.4967 || Time: 0.3407 sec.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> Epoch[13](2980/5770): Loss: 263.6499 || Time: 0.3315 sec.\n",
      "===> Epoch[13](3000/5770): Loss: 200.8580 || Time: 0.3578 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 226.4916, Mean AP = 0.5788, Mean SSIM = 0.9570, Mean PSNR = 25.3078 || Time: 10.0217 sec.\n",
      "Saving state, iter: 3000\n",
      "===> Epoch[13](3020/5770): Loss: 303.5289 || Time: 0.3292 sec.\n",
      "===> Epoch[13](3040/5770): Loss: 195.5962 || Time: 0.3361 sec.\n",
      "===> Epoch[13](3060/5770): Loss: 380.9173 || Time: 0.3315 sec.\n",
      "===> Epoch[13](3080/5770): Loss: 253.8948 || Time: 0.3336 sec.\n",
      "===> Epoch[13](3100/5770): Loss: 278.9471 || Time: 0.3319 sec.\n",
      "===> Epoch[13](3120/5770): Loss: 74.7707 || Time: 0.3320 sec.\n",
      "===> Epoch[13](3140/5770): Loss: 128.8792 || Time: 0.3327 sec.\n",
      "===> Epoch[13](3160/5770): Loss: 141.5850 || Time: 0.3424 sec.\n",
      "===> Epoch[13](3180/5770): Loss: 326.2484 || Time: 0.3317 sec.\n",
      "===> Epoch[13](3200/5770): Loss: 219.9735 || Time: 0.3410 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 222.9091, Mean AP = 0.5274, Mean SSIM = 0.9572, Mean PSNR = 25.4158 || Time: 10.0707 sec.\n",
      "===> Epoch[13](3220/5770): Loss: 128.7421 || Time: 0.3308 sec.\n",
      "===> Epoch[13](3240/5770): Loss: 240.4487 || Time: 0.3310 sec.\n",
      "===> Epoch[13](3260/5770): Loss: 539.7264 || Time: 0.3318 sec.\n",
      "===> Epoch[13](3280/5770): Loss: 123.1881 || Time: 0.3322 sec.\n",
      "===> Epoch[13](3300/5770): Loss: 201.2073 || Time: 0.3310 sec.\n",
      "===> Epoch[13](3320/5770): Loss: 234.9680 || Time: 0.3359 sec.\n",
      "===> Epoch[13](3340/5770): Loss: 237.5582 || Time: 0.3322 sec.\n",
      "===> Epoch[13](3360/5770): Loss: 180.2479 || Time: 0.3462 sec.\n",
      "===> Epoch[13](3380/5770): Loss: 282.7465 || Time: 0.3407 sec.\n",
      "===> Epoch[13](3400/5770): Loss: 144.6110 || Time: 0.3308 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 218.3846, Mean AP = 0.5337, Mean SSIM = 0.9570, Mean PSNR = 25.4160 || Time: 10.1056 sec.\n",
      "===> Epoch[13](3420/5770): Loss: 296.1078 || Time: 0.3309 sec.\n",
      "===> Epoch[13](3440/5770): Loss: 241.8811 || Time: 0.3417 sec.\n",
      "===> Epoch[13](3460/5770): Loss: 63.1193 || Time: 0.3364 sec.\n",
      "===> Epoch[13](3480/5770): Loss: 48.3051 || Time: 0.3349 sec.\n",
      "===> Epoch[13](3500/5770): Loss: 151.8096 || Time: 0.3331 sec.\n",
      "===> Epoch[13](3520/5770): Loss: 245.8691 || Time: 0.3375 sec.\n",
      "===> Epoch[13](3540/5770): Loss: 53.6983 || Time: 0.3463 sec.\n",
      "===> Epoch[13](3560/5770): Loss: 121.9803 || Time: 0.3333 sec.\n",
      "===> Epoch[13](3580/5770): Loss: 188.8917 || Time: 0.3336 sec.\n",
      "===> Epoch[13](3600/5770): Loss: 141.2216 || Time: 0.3335 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 208.8791, Mean AP = 0.5812, Mean SSIM = 0.9571, Mean PSNR = 25.3901 || Time: 10.0797 sec.\n",
      "===> Epoch[13](3620/5770): Loss: 247.9458 || Time: 0.3312 sec.\n",
      "===> Epoch[13](3640/5770): Loss: 155.0125 || Time: 0.3307 sec.\n",
      "===> Epoch[13](3660/5770): Loss: 143.3168 || Time: 0.3332 sec.\n",
      "===> Epoch[13](3680/5770): Loss: 368.9098 || Time: 0.3352 sec.\n",
      "===> Epoch[13](3700/5770): Loss: 127.8205 || Time: 0.3465 sec.\n",
      "===> Epoch[13](3720/5770): Loss: 516.2526 || Time: 0.3311 sec.\n",
      "===> Epoch[13](3740/5770): Loss: 255.9832 || Time: 0.3318 sec.\n",
      "===> Epoch[13](3760/5770): Loss: 109.1904 || Time: 0.3332 sec.\n",
      "===> Epoch[13](3780/5770): Loss: 223.5043 || Time: 0.3319 sec.\n",
      "===> Epoch[13](3800/5770): Loss: 51.1480 || Time: 0.3349 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 210.8040, Mean AP = 0.5326, Mean SSIM = 0.9566, Mean PSNR = 25.3966 || Time: 10.0729 sec.\n",
      "===> Epoch[13](3820/5770): Loss: 86.1702 || Time: 0.3304 sec.\n",
      "===> Epoch[13](3840/5770): Loss: 129.1364 || Time: 0.3309 sec.\n",
      "===> Epoch[13](3860/5770): Loss: 112.2504 || Time: 0.3398 sec.\n",
      "===> Epoch[13](3880/5770): Loss: 124.7657 || Time: 0.3320 sec.\n",
      "===> Epoch[13](3900/5770): Loss: 229.1193 || Time: 0.3326 sec.\n",
      "===> Epoch[13](3920/5770): Loss: 126.5720 || Time: 0.3339 sec.\n",
      "===> Epoch[13](3940/5770): Loss: 59.8877 || Time: 0.3323 sec.\n",
      "===> Epoch[13](3960/5770): Loss: 239.3227 || Time: 0.3328 sec.\n",
      "===> Epoch[13](3980/5770): Loss: 284.0918 || Time: 0.3574 sec.\n",
      "===> Epoch[13](4000/5770): Loss: 218.2030 || Time: 0.3288 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 214.1190, Mean AP = 0.5275, Mean SSIM = 0.9571, Mean PSNR = 25.4272 || Time: 9.9313 sec.\n",
      "Saving state, iter: 4000\n",
      "===> Epoch[13](4020/5770): Loss: 58.6116 || Time: 0.3373 sec.\n",
      "===> Epoch[13](4040/5770): Loss: 284.4847 || Time: 0.3308 sec.\n",
      "===> Epoch[13](4060/5770): Loss: 109.4373 || Time: 0.3539 sec.\n",
      "===> Epoch[13](4080/5770): Loss: 227.3798 || Time: 0.3300 sec.\n",
      "===> Epoch[13](4100/5770): Loss: 71.9737 || Time: 0.3380 sec.\n",
      "===> Epoch[13](4120/5770): Loss: 231.2407 || Time: 0.3352 sec.\n",
      "===> Epoch[13](4140/5770): Loss: 111.5694 || Time: 0.3397 sec.\n",
      "===> Epoch[13](4160/5770): Loss: 101.0852 || Time: 0.3338 sec.\n",
      "===> Epoch[13](4180/5770): Loss: 218.4928 || Time: 0.3372 sec.\n",
      "===> Epoch[13](4200/5770): Loss: 258.8251 || Time: 0.3435 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 202.0908, Mean AP = 0.5799, Mean SSIM = 0.9573, Mean PSNR = 25.4079 || Time: 10.0184 sec.\n",
      "===> Epoch[13](4220/5770): Loss: 286.0175 || Time: 0.3303 sec.\n",
      "===> Epoch[13](4240/5770): Loss: 145.3873 || Time: 0.3342 sec.\n",
      "===> Epoch[13](4260/5770): Loss: 215.4334 || Time: 0.3423 sec.\n",
      "===> Epoch[13](4280/5770): Loss: 66.3427 || Time: 0.3335 sec.\n",
      "===> Epoch[13](4300/5770): Loss: 207.3226 || Time: 0.3454 sec.\n",
      "===> Epoch[13](4320/5770): Loss: 333.4701 || Time: 0.3339 sec.\n",
      "===> Epoch[13](4340/5770): Loss: 456.4247 || Time: 0.3307 sec.\n",
      "===> Epoch[13](4360/5770): Loss: 132.1564 || Time: 0.3336 sec.\n",
      "===> Epoch[13](4380/5770): Loss: 78.5991 || Time: 0.3377 sec.\n",
      "===> Epoch[13](4400/5770): Loss: 538.6642 || Time: 0.3345 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 210.6341, Mean AP = 0.5259, Mean SSIM = 0.9569, Mean PSNR = 25.3825 || Time: 10.0577 sec.\n",
      "===> Epoch[13](4420/5770): Loss: 34.2428 || Time: 0.3289 sec.\n",
      "===> Epoch[13](4440/5770): Loss: 107.1807 || Time: 0.3311 sec.\n",
      "===> Epoch[13](4460/5770): Loss: 75.2598 || Time: 0.3334 sec.\n",
      "===> Epoch[13](4480/5770): Loss: 183.8707 || Time: 0.3317 sec.\n",
      "===> Epoch[13](4500/5770): Loss: 244.6187 || Time: 0.3291 sec.\n",
      "===> Epoch[13](4520/5770): Loss: 279.3123 || Time: 0.3317 sec.\n",
      "===> Epoch[13](4540/5770): Loss: 572.2902 || Time: 0.3290 sec.\n",
      "===> Epoch[13](4560/5770): Loss: 262.9181 || Time: 0.3307 sec.\n",
      "===> Epoch[13](4580/5770): Loss: 245.0597 || Time: 0.3343 sec.\n",
      "===> Epoch[13](4600/5770): Loss: 300.0059 || Time: 0.3411 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 228.5748, Mean AP = 0.5260, Mean SSIM = 0.9567, Mean PSNR = 25.3727 || Time: 10.0743 sec.\n",
      "===> Epoch[13](4620/5770): Loss: 271.8566 || Time: 0.3314 sec.\n",
      "===> Epoch[13](4640/5770): Loss: 335.2484 || Time: 0.3409 sec.\n",
      "===> Epoch[13](4660/5770): Loss: 41.2829 || Time: 0.3418 sec.\n",
      "===> Epoch[13](4680/5770): Loss: 121.0736 || Time: 0.3308 sec.\n",
      "===> Epoch[13](4700/5770): Loss: 252.9164 || Time: 0.3373 sec.\n",
      "===> Epoch[13](4720/5770): Loss: 142.2169 || Time: 0.3381 sec.\n",
      "===> Epoch[13](4740/5770): Loss: 110.3714 || Time: 0.3377 sec.\n",
      "===> Epoch[13](4760/5770): Loss: 214.3754 || Time: 0.3294 sec.\n",
      "===> Epoch[13](4780/5770): Loss: 120.0818 || Time: 0.3347 sec.\n",
      "===> Epoch[13](4800/5770): Loss: 245.4658 || Time: 0.3324 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 213.9165, Mean AP = 0.5227, Mean SSIM = 0.9571, Mean PSNR = 25.2976 || Time: 10.0592 sec.\n",
      "===> Epoch[13](4820/5770): Loss: 48.9665 || Time: 0.3296 sec.\n",
      "===> Epoch[13](4840/5770): Loss: 293.6376 || Time: 0.3320 sec.\n",
      "===> Epoch[13](4860/5770): Loss: 349.0919 || Time: 0.3328 sec.\n",
      "===> Epoch[13](4880/5770): Loss: 442.8151 || Time: 0.3346 sec.\n",
      "===> Epoch[13](4900/5770): Loss: 223.1215 || Time: 0.3305 sec.\n",
      "===> Epoch[13](4920/5770): Loss: 100.8165 || Time: 0.3303 sec.\n",
      "===> Epoch[13](4940/5770): Loss: 131.7193 || Time: 0.3574 sec.\n",
      "===> Epoch[13](4960/5770): Loss: 194.8118 || Time: 0.3316 sec.\n",
      "===> Epoch[13](4980/5770): Loss: 213.0762 || Time: 0.3339 sec.\n",
      "===> Epoch[13](5000/5770): Loss: 137.9957 || Time: 0.3319 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 232.1647, Mean AP = 0.5172, Mean SSIM = 0.9571, Mean PSNR = 25.4074 || Time: 9.9360 sec.\n",
      "Saving state, iter: 5000\n",
      "===> Epoch[13](5020/5770): Loss: 288.0894 || Time: 0.3301 sec.\n",
      "===> Epoch[13](5040/5770): Loss: 77.0882 || Time: 0.3390 sec.\n",
      "===> Epoch[13](5060/5770): Loss: 129.4008 || Time: 0.3318 sec.\n",
      "===> Epoch[13](5080/5770): Loss: 218.1524 || Time: 0.3502 sec.\n",
      "===> Epoch[13](5100/5770): Loss: 606.7291 || Time: 0.3474 sec.\n",
      "===> Epoch[13](5120/5770): Loss: 63.5023 || Time: 0.3329 sec.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> Epoch[13](5140/5770): Loss: 289.9087 || Time: 0.3300 sec.\n",
      "===> Epoch[13](5160/5770): Loss: 65.4666 || Time: 0.3320 sec.\n",
      "===> Epoch[13](5180/5770): Loss: 315.0438 || Time: 0.3654 sec.\n",
      "===> Epoch[13](5200/5770): Loss: 98.4216 || Time: 0.3349 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 228.5094, Mean AP = 0.5749, Mean SSIM = 0.9570, Mean PSNR = 25.4181 || Time: 9.9740 sec.\n",
      "===> Epoch[13](5220/5770): Loss: 97.1712 || Time: 0.3328 sec.\n",
      "===> Epoch[13](5240/5770): Loss: 191.7192 || Time: 0.3425 sec.\n",
      "===> Epoch[13](5260/5770): Loss: 223.4665 || Time: 0.3353 sec.\n",
      "===> Epoch[13](5280/5770): Loss: 227.6040 || Time: 0.3338 sec.\n",
      "===> Epoch[13](5300/5770): Loss: 129.5659 || Time: 0.3431 sec.\n",
      "===> Epoch[13](5320/5770): Loss: 295.6852 || Time: 0.3351 sec.\n",
      "===> Epoch[13](5340/5770): Loss: 143.2932 || Time: 0.3312 sec.\n",
      "===> Epoch[13](5360/5770): Loss: 44.0828 || Time: 0.3367 sec.\n",
      "===> Epoch[13](5380/5770): Loss: 173.7297 || Time: 0.3322 sec.\n",
      "===> Epoch[13](5400/5770): Loss: 112.9914 || Time: 0.3411 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 229.0442, Mean AP = 0.5736, Mean SSIM = 0.9569, Mean PSNR = 25.3139 || Time: 10.1951 sec.\n",
      "===> Epoch[13](5420/5770): Loss: 195.6203 || Time: 0.3316 sec.\n",
      "===> Epoch[13](5440/5770): Loss: 299.2452 || Time: 0.3315 sec.\n",
      "===> Epoch[13](5460/5770): Loss: 39.5498 || Time: 0.3412 sec.\n",
      "===> Epoch[13](5480/5770): Loss: 174.1796 || Time: 0.3300 sec.\n",
      "===> Epoch[13](5500/5770): Loss: 444.6800 || Time: 0.3575 sec.\n",
      "===> Epoch[13](5520/5770): Loss: 233.6530 || Time: 0.3415 sec.\n",
      "===> Epoch[13](5540/5770): Loss: 391.1693 || Time: 0.3331 sec.\n",
      "===> Epoch[13](5560/5770): Loss: 124.2073 || Time: 0.3308 sec.\n",
      "===> Epoch[13](5580/5770): Loss: 123.6353 || Time: 0.3341 sec.\n",
      "===> Epoch[13](5600/5770): Loss: 332.5528 || Time: 0.3353 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 213.0382, Mean AP = 0.5287, Mean SSIM = 0.9572, Mean PSNR = 25.4155 || Time: 10.0556 sec.\n",
      "===> Epoch 13 Complete: Avg. Loss: 110.0343 || Time: 2175.3420 sec.\n",
      "===> Epoch[14](20/5770): Loss: 139.6930 || Time: 0.3314 sec.\n",
      "===> Epoch[14](40/5770): Loss: 82.4743 || Time: 0.3315 sec.\n",
      "===> Epoch[14](60/5770): Loss: 243.9826 || Time: 0.3334 sec.\n",
      "===> Epoch[14](80/5770): Loss: 113.9856 || Time: 0.3322 sec.\n",
      "===> Epoch[14](100/5770): Loss: 331.6725 || Time: 0.3534 sec.\n",
      "===> Epoch[14](120/5770): Loss: 113.2349 || Time: 0.3310 sec.\n",
      "===> Epoch[14](140/5770): Loss: 351.9297 || Time: 0.3345 sec.\n",
      "===> Epoch[14](160/5770): Loss: 241.6517 || Time: 0.3360 sec.\n",
      "===> Epoch[14](180/5770): Loss: 351.7303 || Time: 0.3578 sec.\n",
      "===> Epoch[14](200/5770): Loss: 220.8805 || Time: 0.3494 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 195.9083, Mean AP = 0.5227, Mean SSIM = 0.9573, Mean PSNR = 25.4250 || Time: 10.1807 sec.\n",
      "===> Epoch[14](220/5770): Loss: 86.0855 || Time: 0.3311 sec.\n",
      "===> Epoch[14](240/5770): Loss: 244.2599 || Time: 0.3364 sec.\n",
      "===> Epoch[14](260/5770): Loss: 173.5519 || Time: 0.3364 sec.\n",
      "===> Epoch[14](280/5770): Loss: 128.4020 || Time: 0.3392 sec.\n",
      "===> Epoch[14](300/5770): Loss: 144.7440 || Time: 0.3349 sec.\n",
      "===> Epoch[14](320/5770): Loss: 150.1515 || Time: 0.3322 sec.\n",
      "===> Epoch[14](340/5770): Loss: 159.4419 || Time: 0.3296 sec.\n",
      "===> Epoch[14](360/5770): Loss: 210.7740 || Time: 0.3377 sec.\n",
      "===> Epoch[14](380/5770): Loss: 174.4099 || Time: 0.3410 sec.\n",
      "===> Epoch[14](400/5770): Loss: 280.4825 || Time: 0.3406 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 205.1467, Mean AP = 0.5147, Mean SSIM = 0.9573, Mean PSNR = 25.3847 || Time: 10.1484 sec.\n",
      "===> Epoch[14](420/5770): Loss: 83.7424 || Time: 0.3315 sec.\n",
      "===> Epoch[14](440/5770): Loss: 428.6116 || Time: 0.3306 sec.\n",
      "===> Epoch[14](460/5770): Loss: 175.5429 || Time: 0.3371 sec.\n",
      "===> Epoch[14](480/5770): Loss: 57.4712 || Time: 0.3339 sec.\n",
      "===> Epoch[14](500/5770): Loss: 71.1274 || Time: 0.3304 sec.\n",
      "===> Epoch[14](520/5770): Loss: 219.4269 || Time: 0.3398 sec.\n",
      "===> Epoch[14](540/5770): Loss: 265.4622 || Time: 0.3404 sec.\n",
      "===> Epoch[14](560/5770): Loss: 212.2339 || Time: 0.3396 sec.\n",
      "===> Epoch[14](580/5770): Loss: 237.3356 || Time: 0.3330 sec.\n",
      "===> Epoch[14](600/5770): Loss: 49.6634 || Time: 0.3383 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 210.4308, Mean AP = 0.5236, Mean SSIM = 0.9573, Mean PSNR = 25.2477 || Time: 10.0766 sec.\n",
      "===> Epoch[14](620/5770): Loss: 116.2416 || Time: 0.3306 sec.\n",
      "===> Epoch[14](640/5770): Loss: 201.9274 || Time: 0.3314 sec.\n",
      "===> Epoch[14](660/5770): Loss: 116.3925 || Time: 0.3330 sec.\n",
      "===> Epoch[14](680/5770): Loss: 188.4373 || Time: 0.3317 sec.\n",
      "===> Epoch[14](700/5770): Loss: 265.8632 || Time: 0.3372 sec.\n",
      "===> Epoch[14](720/5770): Loss: 93.2268 || Time: 0.3322 sec.\n",
      "===> Epoch[14](740/5770): Loss: 359.2441 || Time: 0.3318 sec.\n",
      "===> Epoch[14](760/5770): Loss: 300.3283 || Time: 0.3336 sec.\n",
      "===> Epoch[14](780/5770): Loss: 429.6051 || Time: 0.3305 sec.\n",
      "===> Epoch[14](800/5770): Loss: 154.5835 || Time: 0.3377 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 217.2449, Mean AP = 0.5150, Mean SSIM = 0.9571, Mean PSNR = 25.4306 || Time: 10.0479 sec.\n",
      "===> Epoch[14](820/5770): Loss: 297.3049 || Time: 0.3299 sec.\n",
      "===> Epoch[14](840/5770): Loss: 279.4634 || Time: 0.3311 sec.\n",
      "===> Epoch[14](860/5770): Loss: 243.9180 || Time: 0.3344 sec.\n",
      "===> Epoch[14](880/5770): Loss: 139.7200 || Time: 0.3328 sec.\n",
      "===> Epoch[14](900/5770): Loss: 274.9360 || Time: 0.3444 sec.\n",
      "===> Epoch[14](920/5770): Loss: 150.8158 || Time: 0.3349 sec.\n",
      "===> Epoch[14](940/5770): Loss: 303.6576 || Time: 0.3300 sec.\n",
      "===> Epoch[14](960/5770): Loss: 88.1047 || Time: 0.3317 sec.\n",
      "===> Epoch[14](980/5770): Loss: 264.1232 || Time: 0.3386 sec.\n",
      "===> Epoch[14](1000/5770): Loss: 87.3441 || Time: 0.3327 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 209.1584, Mean AP = 0.5743, Mean SSIM = 0.9571, Mean PSNR = 25.4194 || Time: 10.2151 sec.\n",
      "Saving state, iter: 1000\n",
      "===> Epoch[14](1020/5770): Loss: 252.7903 || Time: 0.3296 sec.\n",
      "===> Epoch[14](1040/5770): Loss: 239.4476 || Time: 0.3297 sec.\n",
      "===> Epoch[14](1060/5770): Loss: 123.0208 || Time: 0.3395 sec.\n",
      "===> Epoch[14](1080/5770): Loss: 597.1513 || Time: 0.3336 sec.\n",
      "===> Epoch[14](1100/5770): Loss: 323.2317 || Time: 0.3309 sec.\n",
      "===> Epoch[14](1120/5770): Loss: 285.4155 || Time: 0.3353 sec.\n",
      "===> Epoch[14](1140/5770): Loss: 107.4025 || Time: 0.3343 sec.\n",
      "===> Epoch[14](1160/5770): Loss: 229.6641 || Time: 0.3332 sec.\n",
      "===> Epoch[14](1180/5770): Loss: 116.8229 || Time: 0.3443 sec.\n",
      "===> Epoch[14](1200/5770): Loss: 146.6669 || Time: 0.3454 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 221.5222, Mean AP = 0.5770, Mean SSIM = 0.9569, Mean PSNR = 25.2910 || Time: 9.9613 sec.\n",
      "===> Epoch[14](1220/5770): Loss: 313.0708 || Time: 0.3282 sec.\n",
      "===> Epoch[14](1240/5770): Loss: 298.9131 || Time: 0.3312 sec.\n",
      "===> Epoch[14](1260/5770): Loss: 554.1267 || Time: 0.3292 sec.\n",
      "===> Epoch[14](1280/5770): Loss: 256.1764 || Time: 0.3318 sec.\n",
      "===> Epoch[14](1300/5770): Loss: 116.5368 || Time: 0.3353 sec.\n",
      "===> Epoch[14](1320/5770): Loss: 410.0691 || Time: 0.3557 sec.\n",
      "===> Epoch[14](1340/5770): Loss: 157.4648 || Time: 0.3352 sec.\n",
      "===> Epoch[14](1360/5770): Loss: 127.1529 || Time: 0.3357 sec.\n",
      "===> Epoch[14](1380/5770): Loss: 139.6689 || Time: 0.3307 sec.\n",
      "===> Epoch[14](1400/5770): Loss: 226.3384 || Time: 0.3305 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 231.6974, Mean AP = 0.5224, Mean SSIM = 0.9572, Mean PSNR = 25.4227 || Time: 10.1894 sec.\n",
      "===> Epoch[14](1420/5770): Loss: 241.2322 || Time: 0.3301 sec.\n",
      "===> Epoch[14](1440/5770): Loss: 228.2748 || Time: 0.3312 sec.\n",
      "===> Epoch[14](1460/5770): Loss: 237.7356 || Time: 0.3303 sec.\n",
      "===> Epoch[14](1480/5770): Loss: 186.9866 || Time: 0.3478 sec.\n",
      "===> Epoch[14](1500/5770): Loss: 303.2596 || Time: 0.3351 sec.\n",
      "===> Epoch[14](1520/5770): Loss: 172.1041 || Time: 0.3444 sec.\n",
      "===> Epoch[14](1540/5770): Loss: 229.3081 || Time: 0.3451 sec.\n",
      "===> Epoch[14](1560/5770): Loss: 309.1009 || Time: 0.3328 sec.\n",
      "===> Epoch[14](1580/5770): Loss: 91.0132 || Time: 0.3503 sec.\n",
      "===> Epoch[14](1600/5770): Loss: 64.7275 || Time: 0.3320 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 232.3865, Mean AP = 0.5237, Mean SSIM = 0.9571, Mean PSNR = 25.3976 || Time: 9.9629 sec.\n",
      "===> Epoch[14](1620/5770): Loss: 341.7810 || Time: 0.3300 sec.\n",
      "===> Epoch[14](1640/5770): Loss: 353.6486 || Time: 0.3317 sec.\n",
      "===> Epoch[14](1660/5770): Loss: 109.7403 || Time: 0.3340 sec.\n",
      "===> Epoch[14](1680/5770): Loss: 143.6178 || Time: 0.3346 sec.\n",
      "===> Epoch[14](1700/5770): Loss: 316.0450 || Time: 0.3416 sec.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> Epoch[14](1720/5770): Loss: 133.4808 || Time: 0.3367 sec.\n",
      "===> Epoch[14](1740/5770): Loss: 490.2366 || Time: 0.3467 sec.\n",
      "===> Epoch[14](1760/5770): Loss: 243.7453 || Time: 0.3361 sec.\n",
      "===> Epoch[14](1780/5770): Loss: 246.5455 || Time: 0.3363 sec.\n",
      "===> Epoch[14](1800/5770): Loss: 92.3114 || Time: 0.3356 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 216.8506, Mean AP = 0.5231, Mean SSIM = 0.9571, Mean PSNR = 25.4197 || Time: 10.1293 sec.\n",
      "===> Epoch[14](1820/5770): Loss: 133.5209 || Time: 0.3352 sec.\n",
      "===> Epoch[14](1840/5770): Loss: 452.5047 || Time: 0.3345 sec.\n",
      "===> Epoch[14](1860/5770): Loss: 280.1676 || Time: 0.3426 sec.\n",
      "===> Epoch[14](1880/5770): Loss: 165.4583 || Time: 0.3328 sec.\n",
      "===> Epoch[14](1900/5770): Loss: 144.5446 || Time: 0.3302 sec.\n",
      "===> Epoch[14](1920/5770): Loss: 300.5947 || Time: 0.3410 sec.\n",
      "===> Epoch[14](1940/5770): Loss: 117.2997 || Time: 0.3395 sec.\n",
      "===> Epoch[14](1960/5770): Loss: 151.5301 || Time: 0.3309 sec.\n",
      "===> Epoch[14](1980/5770): Loss: 239.0270 || Time: 0.3303 sec.\n",
      "===> Epoch[14](2000/5770): Loss: 219.8902 || Time: 0.3350 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 220.2478, Mean AP = 0.5237, Mean SSIM = 0.9566, Mean PSNR = 25.3909 || Time: 10.0419 sec.\n",
      "Saving state, iter: 2000\n",
      "===> Epoch[14](2020/5770): Loss: 130.3696 || Time: 0.3382 sec.\n",
      "===> Epoch[14](2040/5770): Loss: 398.6983 || Time: 0.3397 sec.\n",
      "===> Epoch[14](2060/5770): Loss: 163.9580 || Time: 0.3416 sec.\n",
      "===> Epoch[14](2080/5770): Loss: 107.7482 || Time: 0.3432 sec.\n",
      "===> Epoch[14](2100/5770): Loss: 186.1766 || Time: 0.3423 sec.\n",
      "===> Epoch[14](2120/5770): Loss: 111.1336 || Time: 0.3661 sec.\n",
      "===> Epoch[14](2140/5770): Loss: 241.7199 || Time: 0.3397 sec.\n",
      "===> Epoch[14](2160/5770): Loss: 269.8207 || Time: 0.3680 sec.\n",
      "===> Epoch[14](2180/5770): Loss: 269.6491 || Time: 0.3382 sec.\n",
      "===> Epoch[14](2200/5770): Loss: 341.2354 || Time: 0.3350 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 225.0016, Mean AP = 0.5330, Mean SSIM = 0.9573, Mean PSNR = 25.4190 || Time: 10.1273 sec.\n",
      "===> Epoch[14](2220/5770): Loss: 99.7943 || Time: 0.3306 sec.\n",
      "===> Epoch[14](2240/5770): Loss: 178.2750 || Time: 0.3344 sec.\n",
      "===> Epoch[14](2260/5770): Loss: 121.5625 || Time: 0.3379 sec.\n",
      "===> Epoch[14](2280/5770): Loss: 452.9618 || Time: 0.3371 sec.\n",
      "===> Epoch[14](2300/5770): Loss: 298.6197 || Time: 0.3314 sec.\n",
      "===> Epoch[14](2320/5770): Loss: 103.5046 || Time: 0.3315 sec.\n",
      "===> Epoch[14](2340/5770): Loss: 501.7338 || Time: 0.3410 sec.\n",
      "===> Epoch[14](2360/5770): Loss: 136.8299 || Time: 0.3395 sec.\n",
      "===> Epoch[14](2380/5770): Loss: 327.4065 || Time: 0.3476 sec.\n",
      "===> Epoch[14](2400/5770): Loss: 149.9758 || Time: 0.3301 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 248.0188, Mean AP = 0.5214, Mean SSIM = 0.9572, Mean PSNR = 25.4097 || Time: 10.1095 sec.\n",
      "===> Epoch[14](2420/5770): Loss: 115.7956 || Time: 0.3301 sec.\n",
      "===> Epoch[14](2440/5770): Loss: 463.7267 || Time: 0.3407 sec.\n",
      "===> Epoch[14](2460/5770): Loss: 74.9848 || Time: 0.3348 sec.\n",
      "===> Epoch[14](2480/5770): Loss: 428.2432 || Time: 0.3366 sec.\n",
      "===> Epoch[14](2500/5770): Loss: 154.6713 || Time: 0.3315 sec.\n",
      "===> Epoch[14](2520/5770): Loss: 294.9960 || Time: 0.3408 sec.\n",
      "===> Epoch[14](2540/5770): Loss: 365.9138 || Time: 0.3565 sec.\n",
      "===> Epoch[14](2560/5770): Loss: 454.3696 || Time: 0.3345 sec.\n",
      "===> Epoch[14](2580/5770): Loss: 572.6688 || Time: 0.3308 sec.\n",
      "===> Epoch[14](2600/5770): Loss: 142.3718 || Time: 0.3371 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 219.8376, Mean AP = 0.5205, Mean SSIM = 0.9568, Mean PSNR = 25.3923 || Time: 10.0718 sec.\n",
      "===> Epoch[14](2620/5770): Loss: 60.6203 || Time: 0.3304 sec.\n",
      "===> Epoch[14](2640/5770): Loss: 181.9366 || Time: 0.3296 sec.\n",
      "===> Epoch[14](2660/5770): Loss: 112.2947 || Time: 0.3316 sec.\n",
      "===> Epoch[14](2680/5770): Loss: 336.8005 || Time: 0.3309 sec.\n",
      "===> Epoch[14](2700/5770): Loss: 200.7229 || Time: 0.3408 sec.\n",
      "===> Epoch[14](2720/5770): Loss: 297.2860 || Time: 0.3325 sec.\n",
      "===> Epoch[14](2740/5770): Loss: 264.6676 || Time: 0.3363 sec.\n",
      "===> Epoch[14](2760/5770): Loss: 93.9859 || Time: 0.3316 sec.\n",
      "===> Epoch[14](2780/5770): Loss: 436.8466 || Time: 0.3553 sec.\n",
      "===> Epoch[14](2800/5770): Loss: 135.8102 || Time: 0.3484 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 234.5545, Mean AP = 0.5262, Mean SSIM = 0.9568, Mean PSNR = 25.3882 || Time: 10.0071 sec.\n",
      "===> Epoch[14](2820/5770): Loss: 218.1771 || Time: 0.3406 sec.\n",
      "===> Epoch[14](2840/5770): Loss: 81.0334 || Time: 0.3292 sec.\n",
      "===> Epoch[14](2860/5770): Loss: 147.7809 || Time: 0.3289 sec.\n",
      "===> Epoch[14](2880/5770): Loss: 286.1891 || Time: 0.3324 sec.\n",
      "===> Epoch[14](2900/5770): Loss: 809.0296 || Time: 0.3363 sec.\n",
      "===> Epoch[14](2920/5770): Loss: 298.6052 || Time: 0.3377 sec.\n",
      "===> Epoch[14](2940/5770): Loss: 435.9725 || Time: 0.3344 sec.\n",
      "===> Epoch[14](2960/5770): Loss: 257.4016 || Time: 0.3406 sec.\n",
      "===> Epoch[14](2980/5770): Loss: 247.1798 || Time: 0.3323 sec.\n",
      "===> Epoch[14](3000/5770): Loss: 198.0379 || Time: 0.3312 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 218.3431, Mean AP = 0.5287, Mean SSIM = 0.9572, Mean PSNR = 25.3903 || Time: 10.0652 sec.\n",
      "Saving state, iter: 3000\n",
      "===> Epoch[14](3020/5770): Loss: 299.9926 || Time: 0.3296 sec.\n",
      "===> Epoch[14](3040/5770): Loss: 192.6962 || Time: 0.3279 sec.\n",
      "===> Epoch[14](3060/5770): Loss: 379.7931 || Time: 0.3298 sec.\n",
      "===> Epoch[14](3080/5770): Loss: 251.6968 || Time: 0.3410 sec.\n",
      "===> Epoch[14](3100/5770): Loss: 273.9771 || Time: 0.3566 sec.\n",
      "===> Epoch[14](3120/5770): Loss: 73.7897 || Time: 0.3387 sec.\n",
      "===> Epoch[14](3140/5770): Loss: 127.2357 || Time: 0.3293 sec.\n",
      "===> Epoch[14](3160/5770): Loss: 139.7961 || Time: 0.3357 sec.\n",
      "===> Epoch[14](3180/5770): Loss: 324.9098 || Time: 0.3317 sec.\n",
      "===> Epoch[14](3200/5770): Loss: 215.7335 || Time: 0.3384 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 221.0025, Mean AP = 0.5256, Mean SSIM = 0.9569, Mean PSNR = 25.4113 || Time: 10.0326 sec.\n",
      "===> Epoch[14](3220/5770): Loss: 126.9263 || Time: 0.3305 sec.\n",
      "===> Epoch[14](3240/5770): Loss: 240.0910 || Time: 0.3326 sec.\n",
      "===> Epoch[14](3260/5770): Loss: 535.6476 || Time: 0.3353 sec.\n",
      "===> Epoch[14](3280/5770): Loss: 122.8892 || Time: 0.3408 sec.\n",
      "===> Epoch[14](3300/5770): Loss: 200.9088 || Time: 0.3384 sec.\n",
      "===> Epoch[14](3320/5770): Loss: 232.2726 || Time: 0.3321 sec.\n",
      "===> Epoch[14](3340/5770): Loss: 236.7297 || Time: 0.3332 sec.\n",
      "===> Epoch[14](3360/5770): Loss: 179.3452 || Time: 0.3450 sec.\n",
      "===> Epoch[14](3380/5770): Loss: 282.0227 || Time: 0.3845 sec.\n",
      "===> Epoch[14](3400/5770): Loss: 144.0881 || Time: 0.3459 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 217.0537, Mean AP = 0.5267, Mean SSIM = 0.9572, Mean PSNR = 25.4089 || Time: 10.1230 sec.\n",
      "===> Epoch[14](3420/5770): Loss: 296.1993 || Time: 0.3343 sec.\n",
      "===> Epoch[14](3440/5770): Loss: 241.4775 || Time: 0.3395 sec.\n",
      "===> Epoch[14](3460/5770): Loss: 57.8219 || Time: 0.3296 sec.\n",
      "===> Epoch[14](3480/5770): Loss: 48.4956 || Time: 0.3296 sec.\n",
      "===> Epoch[14](3500/5770): Loss: 150.7732 || Time: 0.3371 sec.\n",
      "===> Epoch[14](3520/5770): Loss: 243.1352 || Time: 0.3433 sec.\n",
      "===> Epoch[14](3540/5770): Loss: 53.4700 || Time: 0.3385 sec.\n",
      "===> Epoch[14](3560/5770): Loss: 121.3513 || Time: 0.3300 sec.\n",
      "===> Epoch[14](3580/5770): Loss: 188.2267 || Time: 0.3358 sec.\n",
      "===> Epoch[14](3600/5770): Loss: 140.3521 || Time: 0.3402 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 207.8327, Mean AP = 0.5256, Mean SSIM = 0.9571, Mean PSNR = 25.3769 || Time: 10.1939 sec.\n",
      "===> Epoch[14](3620/5770): Loss: 246.0775 || Time: 0.3343 sec.\n",
      "===> Epoch[14](3640/5770): Loss: 154.5770 || Time: 0.3341 sec.\n",
      "===> Epoch[14](3660/5770): Loss: 143.9711 || Time: 0.3326 sec.\n",
      "===> Epoch[14](3680/5770): Loss: 368.2700 || Time: 0.3309 sec.\n",
      "===> Epoch[14](3700/5770): Loss: 126.2363 || Time: 0.3327 sec.\n",
      "===> Epoch[14](3720/5770): Loss: 515.3607 || Time: 0.3333 sec.\n",
      "===> Epoch[14](3740/5770): Loss: 255.8291 || Time: 0.3318 sec.\n",
      "===> Epoch[14](3760/5770): Loss: 108.6953 || Time: 0.3620 sec.\n",
      "===> Epoch[14](3780/5770): Loss: 222.6411 || Time: 0.3413 sec.\n",
      "===> Epoch[14](3800/5770): Loss: 52.9133 || Time: 0.3426 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 209.9038, Mean AP = 0.5284, Mean SSIM = 0.9572, Mean PSNR = 25.3466 || Time: 9.9630 sec.\n",
      "===> Epoch[14](3820/5770): Loss: 89.6437 || Time: 0.3342 sec.\n",
      "===> Epoch[14](3840/5770): Loss: 131.2623 || Time: 0.3335 sec.\n",
      "===> Epoch[14](3860/5770): Loss: 113.2625 || Time: 0.3468 sec.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> Epoch[14](3880/5770): Loss: 123.8493 || Time: 0.3412 sec.\n",
      "===> Epoch[14](3900/5770): Loss: 228.7492 || Time: 0.3352 sec.\n",
      "===> Epoch[14](3920/5770): Loss: 125.7017 || Time: 0.3348 sec.\n",
      "===> Epoch[14](3940/5770): Loss: 59.5671 || Time: 0.3483 sec.\n",
      "===> Epoch[14](3960/5770): Loss: 236.1870 || Time: 0.3354 sec.\n",
      "===> Epoch[14](3980/5770): Loss: 283.6858 || Time: 0.3352 sec.\n",
      "===> Epoch[14](4000/5770): Loss: 216.6926 || Time: 0.3309 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 214.2197, Mean AP = 0.5262, Mean SSIM = 0.9571, Mean PSNR = 25.4203 || Time: 10.0628 sec.\n",
      "Saving state, iter: 4000\n",
      "===> Epoch[14](4020/5770): Loss: 57.3982 || Time: 0.3299 sec.\n",
      "===> Epoch[14](4040/5770): Loss: 282.4773 || Time: 0.3426 sec.\n",
      "===> Epoch[14](4060/5770): Loss: 109.1901 || Time: 0.3309 sec.\n",
      "===> Epoch[14](4080/5770): Loss: 226.8493 || Time: 0.3339 sec.\n",
      "===> Epoch[14](4100/5770): Loss: 71.3096 || Time: 0.3374 sec.\n",
      "===> Epoch[14](4120/5770): Loss: 230.3097 || Time: 0.3319 sec.\n",
      "===> Epoch[14](4140/5770): Loss: 112.1198 || Time: 0.3311 sec.\n",
      "===> Epoch[14](4160/5770): Loss: 99.6571 || Time: 0.3336 sec.\n",
      "===> Epoch[14](4180/5770): Loss: 218.9088 || Time: 0.3488 sec.\n",
      "===> Epoch[14](4200/5770): Loss: 258.1329 || Time: 0.3362 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 201.2780, Mean AP = 0.5727, Mean SSIM = 0.9573, Mean PSNR = 25.4066 || Time: 9.8787 sec.\n",
      "===> Epoch[14](4220/5770): Loss: 285.0667 || Time: 0.3386 sec.\n",
      "===> Epoch[14](4240/5770): Loss: 144.8969 || Time: 0.3484 sec.\n",
      "===> Epoch[14](4260/5770): Loss: 214.9290 || Time: 0.3368 sec.\n",
      "===> Epoch[14](4280/5770): Loss: 66.3176 || Time: 0.3414 sec.\n",
      "===> Epoch[14](4300/5770): Loss: 207.0697 || Time: 0.3415 sec.\n",
      "===> Epoch[14](4320/5770): Loss: 331.4555 || Time: 0.3463 sec.\n",
      "===> Epoch[14](4340/5770): Loss: 448.7314 || Time: 0.3366 sec.\n",
      "===> Epoch[14](4360/5770): Loss: 132.1326 || Time: 0.3419 sec.\n",
      "===> Epoch[14](4380/5770): Loss: 74.0184 || Time: 0.3458 sec.\n",
      "===> Epoch[14](4400/5770): Loss: 533.8611 || Time: 0.3355 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 209.2636, Mean AP = 0.5278, Mean SSIM = 0.9573, Mean PSNR = 25.4236 || Time: 10.0615 sec.\n",
      "===> Epoch[14](4420/5770): Loss: 33.5437 || Time: 0.3291 sec.\n",
      "===> Epoch[14](4440/5770): Loss: 107.6268 || Time: 0.3328 sec.\n",
      "===> Epoch[14](4460/5770): Loss: 75.5158 || Time: 0.3357 sec.\n",
      "===> Epoch[14](4480/5770): Loss: 182.7025 || Time: 0.3336 sec.\n",
      "===> Epoch[14](4500/5770): Loss: 226.4264 || Time: 0.3364 sec.\n",
      "===> Epoch[14](4520/5770): Loss: 275.9825 || Time: 0.3368 sec.\n",
      "===> Epoch[14](4540/5770): Loss: 571.0724 || Time: 0.3301 sec.\n",
      "===> Epoch[14](4560/5770): Loss: 263.5485 || Time: 0.3363 sec.\n",
      "===> Epoch[14](4580/5770): Loss: 242.7298 || Time: 0.3465 sec.\n",
      "===> Epoch[14](4600/5770): Loss: 298.7824 || Time: 0.3414 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 224.5370, Mean AP = 0.5247, Mean SSIM = 0.9572, Mean PSNR = 25.3999 || Time: 10.0348 sec.\n",
      "===> Epoch[14](4620/5770): Loss: 272.0832 || Time: 0.3295 sec.\n",
      "===> Epoch[14](4640/5770): Loss: 332.8301 || Time: 0.3296 sec.\n",
      "===> Epoch[14](4660/5770): Loss: 40.7130 || Time: 0.3296 sec.\n",
      "===> Epoch[14](4680/5770): Loss: 120.6743 || Time: 0.3282 sec.\n",
      "===> Epoch[14](4700/5770): Loss: 250.9550 || Time: 0.3296 sec.\n",
      "===> Epoch[14](4720/5770): Loss: 139.6436 || Time: 0.3496 sec.\n",
      "===> Epoch[14](4740/5770): Loss: 110.1085 || Time: 0.3300 sec.\n",
      "===> Epoch[14](4760/5770): Loss: 211.4451 || Time: 0.3337 sec.\n",
      "===> Epoch[14](4780/5770): Loss: 119.8925 || Time: 0.3572 sec.\n",
      "===> Epoch[14](4800/5770): Loss: 243.7813 || Time: 0.3463 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 211.7327, Mean AP = 0.5247, Mean SSIM = 0.9563, Mean PSNR = 25.4046 || Time: 10.0522 sec.\n",
      "===> Epoch[14](4820/5770): Loss: 44.8827 || Time: 0.3295 sec.\n",
      "===> Epoch[14](4840/5770): Loss: 289.3482 || Time: 0.3344 sec.\n",
      "===> Epoch[14](4860/5770): Loss: 347.8579 || Time: 0.3404 sec.\n",
      "===> Epoch[14](4880/5770): Loss: 442.0595 || Time: 0.3305 sec.\n",
      "===> Epoch[14](4900/5770): Loss: 225.9009 || Time: 0.3302 sec.\n",
      "===> Epoch[14](4920/5770): Loss: 99.0560 || Time: 0.3372 sec.\n",
      "===> Epoch[14](4940/5770): Loss: 130.9039 || Time: 0.3473 sec.\n",
      "===> Epoch[14](4960/5770): Loss: 192.6514 || Time: 0.3594 sec.\n",
      "===> Epoch[14](4980/5770): Loss: 209.0632 || Time: 0.3334 sec.\n",
      "===> Epoch[14](5000/5770): Loss: 138.1092 || Time: 0.3313 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 229.7509, Mean AP = 0.5279, Mean SSIM = 0.9573, Mean PSNR = 25.4187 || Time: 10.0602 sec.\n",
      "Saving state, iter: 5000\n",
      "===> Epoch[14](5020/5770): Loss: 285.2895 || Time: 0.3341 sec.\n",
      "===> Epoch[14](5040/5770): Loss: 77.9631 || Time: 0.3268 sec.\n",
      "===> Epoch[14](5060/5770): Loss: 126.7899 || Time: 0.3345 sec.\n",
      "===> Epoch[14](5080/5770): Loss: 217.6202 || Time: 0.3302 sec.\n",
      "===> Epoch[14](5100/5770): Loss: 606.3206 || Time: 0.3324 sec.\n",
      "===> Epoch[14](5120/5770): Loss: 62.7128 || Time: 0.3325 sec.\n",
      "===> Epoch[14](5140/5770): Loss: 288.2795 || Time: 0.3302 sec.\n",
      "===> Epoch[14](5160/5770): Loss: 64.9771 || Time: 0.3370 sec.\n",
      "===> Epoch[14](5180/5770): Loss: 310.3063 || Time: 0.3403 sec.\n",
      "===> Epoch[14](5200/5770): Loss: 98.2886 || Time: 0.3369 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 227.2388, Mean AP = 0.5349, Mean SSIM = 0.9573, Mean PSNR = 25.4284 || Time: 10.0107 sec.\n",
      "===> Epoch[14](5220/5770): Loss: 96.7138 || Time: 0.3291 sec.\n",
      "===> Epoch[14](5240/5770): Loss: 191.6795 || Time: 0.3318 sec.\n",
      "===> Epoch[14](5260/5770): Loss: 219.8978 || Time: 0.3322 sec.\n",
      "===> Epoch[14](5280/5770): Loss: 226.1439 || Time: 0.3514 sec.\n",
      "===> Epoch[14](5300/5770): Loss: 129.1449 || Time: 0.3354 sec.\n",
      "===> Epoch[14](5320/5770): Loss: 317.0178 || Time: 0.3386 sec.\n",
      "===> Epoch[14](5340/5770): Loss: 146.5370 || Time: 0.3316 sec.\n",
      "===> Epoch[14](5360/5770): Loss: 45.5172 || Time: 0.3389 sec.\n",
      "===> Epoch[14](5380/5770): Loss: 169.9142 || Time: 0.3315 sec.\n",
      "===> Epoch[14](5400/5770): Loss: 112.9634 || Time: 0.3354 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 228.1404, Mean AP = 0.5708, Mean SSIM = 0.9570, Mean PSNR = 25.3707 || Time: 10.1833 sec.\n",
      "===> Epoch[14](5420/5770): Loss: 194.6158 || Time: 0.3314 sec.\n",
      "===> Epoch[14](5440/5770): Loss: 297.4083 || Time: 0.3352 sec.\n",
      "===> Epoch[14](5460/5770): Loss: 39.5486 || Time: 0.3346 sec.\n",
      "===> Epoch[14](5480/5770): Loss: 170.9427 || Time: 0.3360 sec.\n",
      "===> Epoch[14](5500/5770): Loss: 443.3398 || Time: 0.3359 sec.\n",
      "===> Epoch[14](5520/5770): Loss: 231.2701 || Time: 0.3337 sec.\n",
      "===> Epoch[14](5540/5770): Loss: 389.5577 || Time: 0.3351 sec.\n",
      "===> Epoch[14](5560/5770): Loss: 121.9021 || Time: 0.3333 sec.\n",
      "===> Epoch[14](5580/5770): Loss: 121.1676 || Time: 0.3308 sec.\n",
      "===> Epoch[14](5600/5770): Loss: 330.5259 || Time: 0.3402 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 211.7663, Mean AP = 0.5250, Mean SSIM = 0.9573, Mean PSNR = 25.4163 || Time: 10.0970 sec.\n",
      "===> Epoch 14 Complete: Avg. Loss: 109.2869 || Time: 2176.7095 sec.\n",
      "===> Epoch[15](20/5770): Loss: 148.0011 || Time: 0.3386 sec.\n",
      "===> Epoch[15](40/5770): Loss: 100.2479 || Time: 0.3308 sec.\n",
      "===> Epoch[15](60/5770): Loss: 246.9920 || Time: 0.3432 sec.\n",
      "===> Epoch[15](80/5770): Loss: 113.8559 || Time: 0.3374 sec.\n",
      "===> Epoch[15](100/5770): Loss: 330.2859 || Time: 0.3356 sec.\n",
      "===> Epoch[15](120/5770): Loss: 112.7968 || Time: 0.3326 sec.\n",
      "===> Epoch[15](140/5770): Loss: 350.5171 || Time: 0.3380 sec.\n",
      "===> Epoch[15](160/5770): Loss: 240.3744 || Time: 0.3385 sec.\n",
      "===> Epoch[15](180/5770): Loss: 350.0977 || Time: 0.3484 sec.\n",
      "===> Epoch[15](200/5770): Loss: 219.0379 || Time: 0.3424 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 197.9105, Mean AP = 0.5189, Mean SSIM = 0.9573, Mean PSNR = 25.4133 || Time: 10.1751 sec.\n",
      "===> Epoch[15](220/5770): Loss: 85.2616 || Time: 0.3302 sec.\n",
      "===> Epoch[15](240/5770): Loss: 243.9896 || Time: 0.3322 sec.\n",
      "===> Epoch[15](260/5770): Loss: 171.8402 || Time: 0.3326 sec.\n",
      "===> Epoch[15](280/5770): Loss: 127.1728 || Time: 0.3335 sec.\n",
      "===> Epoch[15](300/5770): Loss: 142.4884 || Time: 0.3383 sec.\n",
      "===> Epoch[15](320/5770): Loss: 147.5205 || Time: 0.3321 sec.\n",
      "===> Epoch[15](340/5770): Loss: 158.1496 || Time: 0.3558 sec.\n",
      "===> Epoch[15](360/5770): Loss: 210.2179 || Time: 0.3337 sec.\n",
      "===> Epoch[15](380/5770): Loss: 171.8304 || Time: 0.3664 sec.\n",
      "===> Epoch[15](400/5770): Loss: 278.8632 || Time: 0.3366 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 203.3521, Mean AP = 0.5186, Mean SSIM = 0.9573, Mean PSNR = 25.4148 || Time: 10.2754 sec.\n",
      "===> Epoch[15](420/5770): Loss: 82.6501 || Time: 0.3582 sec.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> Epoch[15](440/5770): Loss: 426.1846 || Time: 0.3344 sec.\n",
      "===> Epoch[15](460/5770): Loss: 174.1560 || Time: 0.3339 sec.\n",
      "===> Epoch[15](480/5770): Loss: 57.0778 || Time: 0.3421 sec.\n",
      "===> Epoch[15](500/5770): Loss: 69.3553 || Time: 0.3399 sec.\n",
      "===> Epoch[15](520/5770): Loss: 218.4218 || Time: 0.3352 sec.\n",
      "===> Epoch[15](540/5770): Loss: 264.2701 || Time: 0.3326 sec.\n",
      "===> Epoch[15](560/5770): Loss: 212.1113 || Time: 0.3310 sec.\n",
      "===> Epoch[15](580/5770): Loss: 234.6054 || Time: 0.3315 sec.\n",
      "===> Epoch[15](600/5770): Loss: 47.5993 || Time: 0.3325 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 208.7378, Mean AP = 0.5235, Mean SSIM = 0.9575, Mean PSNR = 25.4211 || Time: 10.0805 sec.\n",
      "===> Epoch[15](620/5770): Loss: 114.7257 || Time: 0.3318 sec.\n",
      "===> Epoch[15](640/5770): Loss: 201.1669 || Time: 0.3292 sec.\n",
      "===> Epoch[15](660/5770): Loss: 115.2528 || Time: 0.3306 sec.\n",
      "===> Epoch[15](680/5770): Loss: 187.1063 || Time: 0.3333 sec.\n",
      "===> Epoch[15](700/5770): Loss: 263.7058 || Time: 0.3349 sec.\n",
      "===> Epoch[15](720/5770): Loss: 92.8337 || Time: 0.3350 sec.\n",
      "===> Epoch[15](740/5770): Loss: 356.7458 || Time: 0.3322 sec.\n",
      "===> Epoch[15](760/5770): Loss: 299.8872 || Time: 0.3333 sec.\n",
      "===> Epoch[15](780/5770): Loss: 427.9952 || Time: 0.3527 sec.\n",
      "===> Epoch[15](800/5770): Loss: 154.0547 || Time: 0.3381 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 215.1761, Mean AP = 0.5176, Mean SSIM = 0.9573, Mean PSNR = 25.4318 || Time: 10.0796 sec.\n",
      "===> Epoch[15](820/5770): Loss: 294.7173 || Time: 0.3381 sec.\n",
      "===> Epoch[15](840/5770): Loss: 277.5776 || Time: 0.3307 sec.\n",
      "===> Epoch[15](860/5770): Loss: 245.2028 || Time: 0.3411 sec.\n",
      "===> Epoch[15](880/5770): Loss: 137.9691 || Time: 0.3490 sec.\n",
      "===> Epoch[15](900/5770): Loss: 268.8740 || Time: 0.3326 sec.\n",
      "===> Epoch[15](920/5770): Loss: 152.0470 || Time: 0.3488 sec.\n",
      "===> Epoch[15](940/5770): Loss: 302.2554 || Time: 0.3323 sec.\n",
      "===> Epoch[15](960/5770): Loss: 87.3021 || Time: 0.3354 sec.\n",
      "===> Epoch[15](980/5770): Loss: 259.1811 || Time: 0.3396 sec.\n",
      "===> Epoch[15](1000/5770): Loss: 87.1222 || Time: 0.3387 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 207.5960, Mean AP = 0.5241, Mean SSIM = 0.9573, Mean PSNR = 25.4310 || Time: 10.0951 sec.\n",
      "Saving state, iter: 1000\n",
      "===> Epoch[15](1020/5770): Loss: 252.1708 || Time: 0.3381 sec.\n",
      "===> Epoch[15](1040/5770): Loss: 237.0469 || Time: 0.3396 sec.\n",
      "===> Epoch[15](1060/5770): Loss: 121.9660 || Time: 0.3411 sec.\n",
      "===> Epoch[15](1080/5770): Loss: 596.7009 || Time: 0.3377 sec.\n",
      "===> Epoch[15](1100/5770): Loss: 322.1682 || Time: 0.3447 sec.\n",
      "===> Epoch[15](1120/5770): Loss: 285.1016 || Time: 0.3436 sec.\n",
      "===> Epoch[15](1140/5770): Loss: 104.4908 || Time: 0.3505 sec.\n",
      "===> Epoch[15](1160/5770): Loss: 228.4766 || Time: 0.3433 sec.\n",
      "===> Epoch[15](1180/5770): Loss: 112.3671 || Time: 0.3398 sec.\n",
      "===> Epoch[15](1200/5770): Loss: 145.6089 || Time: 0.3631 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 218.2493, Mean AP = 0.5753, Mean SSIM = 0.9572, Mean PSNR = 25.4098 || Time: 10.0412 sec.\n",
      "===> Epoch[15](1220/5770): Loss: 311.3288 || Time: 0.3295 sec.\n",
      "===> Epoch[15](1240/5770): Loss: 296.6787 || Time: 0.3300 sec.\n",
      "===> Epoch[15](1260/5770): Loss: 553.5505 || Time: 0.3366 sec.\n",
      "===> Epoch[15](1280/5770): Loss: 251.5543 || Time: 0.3316 sec.\n",
      "===> Epoch[15](1300/5770): Loss: 115.5977 || Time: 0.3522 sec.\n",
      "===> Epoch[15](1320/5770): Loss: 410.0899 || Time: 0.3552 sec.\n",
      "===> Epoch[15](1340/5770): Loss: 156.7780 || Time: 0.3341 sec.\n",
      "===> Epoch[15](1360/5770): Loss: 126.7436 || Time: 0.3380 sec.\n",
      "===> Epoch[15](1380/5770): Loss: 137.5315 || Time: 0.3411 sec.\n",
      "===> Epoch[15](1400/5770): Loss: 226.3769 || Time: 0.3323 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 229.5612, Mean AP = 0.5219, Mean SSIM = 0.9572, Mean PSNR = 25.4276 || Time: 10.0702 sec.\n",
      "===> Epoch[15](1420/5770): Loss: 240.3765 || Time: 0.3390 sec.\n",
      "===> Epoch[15](1440/5770): Loss: 226.0688 || Time: 0.3316 sec.\n",
      "===> Epoch[15](1460/5770): Loss: 232.0591 || Time: 0.3380 sec.\n",
      "===> Epoch[15](1480/5770): Loss: 184.0529 || Time: 0.3346 sec.\n",
      "===> Epoch[15](1500/5770): Loss: 276.4052 || Time: 0.3387 sec.\n",
      "===> Epoch[15](1520/5770): Loss: 161.1984 || Time: 0.3409 sec.\n",
      "===> Epoch[15](1540/5770): Loss: 224.7376 || Time: 0.3361 sec.\n",
      "===> Epoch[15](1560/5770): Loss: 307.4811 || Time: 0.3354 sec.\n",
      "===> Epoch[15](1580/5770): Loss: 90.2054 || Time: 0.3327 sec.\n",
      "===> Epoch[15](1600/5770): Loss: 63.8032 || Time: 0.3370 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 225.0226, Mean AP = 0.5236, Mean SSIM = 0.9570, Mean PSNR = 25.4001 || Time: 10.0754 sec.\n",
      "===> Epoch[15](1620/5770): Loss: 339.4512 || Time: 0.3318 sec.\n",
      "===> Epoch[15](1640/5770): Loss: 355.2671 || Time: 0.3396 sec.\n",
      "===> Epoch[15](1660/5770): Loss: 119.0230 || Time: 0.3362 sec.\n",
      "===> Epoch[15](1680/5770): Loss: 145.0768 || Time: 0.3382 sec.\n",
      "===> Epoch[15](1700/5770): Loss: 315.8980 || Time: 0.3333 sec.\n",
      "===> Epoch[15](1720/5770): Loss: 136.7439 || Time: 0.3378 sec.\n",
      "===> Epoch[15](1740/5770): Loss: 485.3994 || Time: 0.3393 sec.\n",
      "===> Epoch[15](1760/5770): Loss: 242.3572 || Time: 0.3350 sec.\n",
      "===> Epoch[15](1780/5770): Loss: 246.6735 || Time: 0.3383 sec.\n",
      "===> Epoch[15](1800/5770): Loss: 92.7847 || Time: 0.3313 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 218.5308, Mean AP = 0.5703, Mean SSIM = 0.9571, Mean PSNR = 25.3853 || Time: 10.0598 sec.\n",
      "===> Epoch[15](1820/5770): Loss: 133.6912 || Time: 0.3340 sec.\n",
      "===> Epoch[15](1840/5770): Loss: 450.4533 || Time: 0.3324 sec.\n",
      "===> Epoch[15](1860/5770): Loss: 279.2528 || Time: 0.3325 sec.\n",
      "===> Epoch[15](1880/5770): Loss: 164.6856 || Time: 0.3331 sec.\n",
      "===> Epoch[15](1900/5770): Loss: 145.1054 || Time: 0.3364 sec.\n",
      "===> Epoch[15](1920/5770): Loss: 299.0426 || Time: 0.3340 sec.\n",
      "===> Epoch[15](1940/5770): Loss: 115.8611 || Time: 0.3306 sec.\n",
      "===> Epoch[15](1960/5770): Loss: 150.0763 || Time: 0.3381 sec.\n",
      "===> Epoch[15](1980/5770): Loss: 238.2036 || Time: 0.3399 sec.\n",
      "===> Epoch[15](2000/5770): Loss: 221.0427 || Time: 0.3407 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 218.8162, Mean AP = 0.5267, Mean SSIM = 0.9573, Mean PSNR = 25.3179 || Time: 10.1067 sec.\n",
      "Saving state, iter: 2000\n",
      "===> Epoch[15](2020/5770): Loss: 132.1084 || Time: 0.3385 sec.\n",
      "===> Epoch[15](2040/5770): Loss: 396.7710 || Time: 0.3428 sec.\n",
      "===> Epoch[15](2060/5770): Loss: 165.8298 || Time: 0.3343 sec.\n",
      "===> Epoch[15](2080/5770): Loss: 107.4741 || Time: 0.3358 sec.\n",
      "===> Epoch[15](2100/5770): Loss: 185.9767 || Time: 0.3338 sec.\n",
      "===> Epoch[15](2120/5770): Loss: 111.1294 || Time: 0.3347 sec.\n",
      "===> Epoch[15](2140/5770): Loss: 235.8735 || Time: 0.3355 sec.\n",
      "===> Epoch[15](2160/5770): Loss: 268.0021 || Time: 0.3451 sec.\n",
      "===> Epoch[15](2180/5770): Loss: 261.8437 || Time: 0.3458 sec.\n",
      "===> Epoch[15](2200/5770): Loss: 336.2692 || Time: 0.3336 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 223.2195, Mean AP = 0.5271, Mean SSIM = 0.9574, Mean PSNR = 25.4319 || Time: 10.0537 sec.\n",
      "===> Epoch[15](2220/5770): Loss: 97.8049 || Time: 0.3305 sec.\n",
      "===> Epoch[15](2240/5770): Loss: 176.8113 || Time: 0.3299 sec.\n",
      "===> Epoch[15](2260/5770): Loss: 121.3515 || Time: 0.3392 sec.\n",
      "===> Epoch[15](2280/5770): Loss: 452.6790 || Time: 0.3415 sec.\n",
      "===> Epoch[15](2300/5770): Loss: 296.8795 || Time: 0.3412 sec.\n",
      "===> Epoch[15](2320/5770): Loss: 102.9061 || Time: 0.3334 sec.\n",
      "===> Epoch[15](2340/5770): Loss: 500.4179 || Time: 0.3509 sec.\n",
      "===> Epoch[15](2360/5770): Loss: 136.9043 || Time: 0.3345 sec.\n",
      "===> Epoch[15](2380/5770): Loss: 326.8578 || Time: 0.3322 sec.\n",
      "===> Epoch[15](2400/5770): Loss: 149.0262 || Time: 0.3365 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 246.5836, Mean AP = 0.5717, Mean SSIM = 0.9571, Mean PSNR = 25.3936 || Time: 10.0331 sec.\n",
      "===> Epoch[15](2420/5770): Loss: 115.1031 || Time: 0.3315 sec.\n",
      "===> Epoch[15](2440/5770): Loss: 460.8327 || Time: 0.3346 sec.\n",
      "===> Epoch[15](2460/5770): Loss: 74.0707 || Time: 0.3396 sec.\n",
      "===> Epoch[15](2480/5770): Loss: 428.3248 || Time: 0.3367 sec.\n",
      "===> Epoch[15](2500/5770): Loss: 154.7771 || Time: 0.3391 sec.\n",
      "===> Epoch[15](2520/5770): Loss: 293.2188 || Time: 0.3326 sec.\n",
      "===> Epoch[15](2540/5770): Loss: 364.4051 || Time: 0.3361 sec.\n",
      "===> Epoch[15](2560/5770): Loss: 452.3043 || Time: 0.3409 sec.\n",
      "===> Epoch[15](2580/5770): Loss: 570.2267 || Time: 0.3404 sec.\n",
      "===> Epoch[15](2600/5770): Loss: 139.6553 || Time: 0.3345 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 218.5424, Mean AP = 0.5158, Mean SSIM = 0.9563, Mean PSNR = 25.3774 || Time: 10.0308 sec.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> Epoch[15](2620/5770): Loss: 59.3585 || Time: 0.3294 sec.\n",
      "===> Epoch[15](2640/5770): Loss: 180.7070 || Time: 0.3315 sec.\n",
      "===> Epoch[15](2660/5770): Loss: 111.2372 || Time: 0.3318 sec.\n",
      "===> Epoch[15](2680/5770): Loss: 334.0431 || Time: 0.3332 sec.\n",
      "===> Epoch[15](2700/5770): Loss: 199.2713 || Time: 0.3522 sec.\n",
      "===> Epoch[15](2720/5770): Loss: 295.3199 || Time: 0.3550 sec.\n",
      "===> Epoch[15](2740/5770): Loss: 264.4098 || Time: 0.3331 sec.\n",
      "===> Epoch[15](2760/5770): Loss: 92.6760 || Time: 0.3340 sec.\n",
      "===> Epoch[15](2780/5770): Loss: 435.7123 || Time: 0.3410 sec.\n",
      "===> Epoch[15](2800/5770): Loss: 134.7276 || Time: 0.3331 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 233.0872, Mean AP = 0.5307, Mean SSIM = 0.9569, Mean PSNR = 25.3899 || Time: 10.1108 sec.\n",
      "===> Epoch[15](2820/5770): Loss: 217.5022 || Time: 0.3406 sec.\n",
      "===> Epoch[15](2840/5770): Loss: 80.4234 || Time: 0.3362 sec.\n",
      "===> Epoch[15](2860/5770): Loss: 147.1386 || Time: 0.3372 sec.\n",
      "===> Epoch[15](2880/5770): Loss: 285.3478 || Time: 0.3573 sec.\n",
      "===> Epoch[15](2900/5770): Loss: 807.6049 || Time: 0.3329 sec.\n",
      "===> Epoch[15](2920/5770): Loss: 298.2727 || Time: 0.3340 sec.\n",
      "===> Epoch[15](2940/5770): Loss: 419.0295 || Time: 0.3442 sec.\n",
      "===> Epoch[15](2960/5770): Loss: 255.5631 || Time: 0.3550 sec.\n",
      "===> Epoch[15](2980/5770): Loss: 253.3915 || Time: 0.3572 sec.\n",
      "===> Epoch[15](3000/5770): Loss: 203.0470 || Time: 0.3668 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 221.6207, Mean AP = 0.5795, Mean SSIM = 0.9570, Mean PSNR = 25.3258 || Time: 10.2220 sec.\n",
      "Saving state, iter: 3000\n",
      "===> Epoch[15](3020/5770): Loss: 299.2553 || Time: 0.3281 sec.\n",
      "===> Epoch[15](3040/5770): Loss: 191.1624 || Time: 0.3313 sec.\n",
      "===> Epoch[15](3060/5770): Loss: 377.7292 || Time: 0.3324 sec.\n",
      "===> Epoch[15](3080/5770): Loss: 250.7580 || Time: 0.3326 sec.\n",
      "===> Epoch[15](3100/5770): Loss: 269.3738 || Time: 0.3373 sec.\n",
      "===> Epoch[15](3120/5770): Loss: 73.6594 || Time: 0.3563 sec.\n",
      "===> Epoch[15](3140/5770): Loss: 126.8391 || Time: 0.3322 sec.\n",
      "===> Epoch[15](3160/5770): Loss: 138.9667 || Time: 0.3466 sec.\n",
      "===> Epoch[15](3180/5770): Loss: 323.7598 || Time: 0.3324 sec.\n",
      "===> Epoch[15](3200/5770): Loss: 210.7802 || Time: 0.3504 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 219.8644, Mean AP = 0.5749, Mean SSIM = 0.9573, Mean PSNR = 25.4208 || Time: 10.1515 sec.\n",
      "===> Epoch[15](3220/5770): Loss: 125.1734 || Time: 0.3288 sec.\n",
      "===> Epoch[15](3240/5770): Loss: 238.7481 || Time: 0.3301 sec.\n",
      "===> Epoch[15](3260/5770): Loss: 533.8705 || Time: 0.3287 sec.\n",
      "===> Epoch[15](3280/5770): Loss: 122.0635 || Time: 0.3322 sec.\n",
      "===> Epoch[15](3300/5770): Loss: 199.0189 || Time: 0.3343 sec.\n",
      "===> Epoch[15](3320/5770): Loss: 229.8961 || Time: 0.3521 sec.\n",
      "===> Epoch[15](3340/5770): Loss: 235.7078 || Time: 0.3525 sec.\n",
      "===> Epoch[15](3360/5770): Loss: 177.6369 || Time: 0.3322 sec.\n",
      "===> Epoch[15](3380/5770): Loss: 279.8926 || Time: 0.3322 sec.\n",
      "===> Epoch[15](3400/5770): Loss: 140.9405 || Time: 0.3384 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 215.5463, Mean AP = 0.5271, Mean SSIM = 0.9571, Mean PSNR = 25.4166 || Time: 10.0721 sec.\n",
      "===> Epoch[15](3420/5770): Loss: 295.8534 || Time: 0.3284 sec.\n",
      "===> Epoch[15](3440/5770): Loss: 239.2882 || Time: 0.3389 sec.\n",
      "===> Epoch[15](3460/5770): Loss: 58.9388 || Time: 0.3303 sec.\n",
      "===> Epoch[15](3480/5770): Loss: 48.0683 || Time: 0.3388 sec.\n",
      "===> Epoch[15](3500/5770): Loss: 149.5716 || Time: 0.3354 sec.\n",
      "===> Epoch[15](3520/5770): Loss: 243.0334 || Time: 0.3347 sec.\n",
      "===> Epoch[15](3540/5770): Loss: 52.9934 || Time: 0.3306 sec.\n",
      "===> Epoch[15](3560/5770): Loss: 120.4703 || Time: 0.3330 sec.\n",
      "===> Epoch[15](3580/5770): Loss: 187.2242 || Time: 0.3357 sec.\n",
      "===> Epoch[15](3600/5770): Loss: 140.7944 || Time: 0.3354 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 206.3063, Mean AP = 0.5283, Mean SSIM = 0.9570, Mean PSNR = 25.3808 || Time: 10.1157 sec.\n",
      "===> Epoch[15](3620/5770): Loss: 241.3751 || Time: 0.3292 sec.\n",
      "===> Epoch[15](3640/5770): Loss: 152.7619 || Time: 0.3387 sec.\n",
      "===> Epoch[15](3660/5770): Loss: 143.1334 || Time: 0.3331 sec.\n",
      "===> Epoch[15](3680/5770): Loss: 367.6163 || Time: 0.3308 sec.\n",
      "===> Epoch[15](3700/5770): Loss: 125.4825 || Time: 0.3364 sec.\n",
      "===> Epoch[15](3720/5770): Loss: 508.1800 || Time: 0.3310 sec.\n",
      "===> Epoch[15](3740/5770): Loss: 253.3787 || Time: 0.3561 sec.\n",
      "===> Epoch[15](3760/5770): Loss: 106.9609 || Time: 0.3351 sec.\n",
      "===> Epoch[15](3780/5770): Loss: 222.1534 || Time: 0.3358 sec.\n",
      "===> Epoch[15](3800/5770): Loss: 51.0603 || Time: 0.3436 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 208.5322, Mean AP = 0.5220, Mean SSIM = 0.9567, Mean PSNR = 25.3907 || Time: 10.0626 sec.\n",
      "===> Epoch[15](3820/5770): Loss: 85.4412 || Time: 0.3316 sec.\n",
      "===> Epoch[15](3840/5770): Loss: 127.7381 || Time: 0.3368 sec.\n",
      "===> Epoch[15](3860/5770): Loss: 111.9172 || Time: 0.3402 sec.\n",
      "===> Epoch[15](3880/5770): Loss: 121.3887 || Time: 0.3312 sec.\n",
      "===> Epoch[15](3900/5770): Loss: 227.8079 || Time: 0.3349 sec.\n",
      "===> Epoch[15](3920/5770): Loss: 123.8645 || Time: 0.3332 sec.\n",
      "===> Epoch[15](3940/5770): Loss: 59.3457 || Time: 0.3323 sec.\n",
      "===> Epoch[15](3960/5770): Loss: 234.2428 || Time: 0.3353 sec.\n",
      "===> Epoch[15](3980/5770): Loss: 281.3593 || Time: 0.3445 sec.\n",
      "===> Epoch[15](4000/5770): Loss: 216.0728 || Time: 0.3408 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 211.7447, Mean AP = 0.5272, Mean SSIM = 0.9571, Mean PSNR = 25.4157 || Time: 10.1247 sec.\n",
      "Saving state, iter: 4000\n",
      "===> Epoch[15](4020/5770): Loss: 57.2649 || Time: 0.3287 sec.\n",
      "===> Epoch[15](4040/5770): Loss: 279.4207 || Time: 0.3391 sec.\n",
      "===> Epoch[15](4060/5770): Loss: 108.5839 || Time: 0.3339 sec.\n",
      "===> Epoch[15](4080/5770): Loss: 226.2467 || Time: 0.3374 sec.\n",
      "===> Epoch[15](4100/5770): Loss: 70.9124 || Time: 0.3377 sec.\n",
      "===> Epoch[15](4120/5770): Loss: 229.7143 || Time: 0.3341 sec.\n",
      "===> Epoch[15](4140/5770): Loss: 107.4772 || Time: 0.3305 sec.\n",
      "===> Epoch[15](4160/5770): Loss: 99.8048 || Time: 0.3363 sec.\n",
      "===> Epoch[15](4180/5770): Loss: 218.2139 || Time: 0.3425 sec.\n",
      "===> Epoch[15](4200/5770): Loss: 257.1836 || Time: 0.3302 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 199.8913, Mean AP = 0.5727, Mean SSIM = 0.9573, Mean PSNR = 25.4052 || Time: 10.1352 sec.\n",
      "===> Epoch[15](4220/5770): Loss: 284.8734 || Time: 0.3289 sec.\n",
      "===> Epoch[15](4240/5770): Loss: 143.0777 || Time: 0.3297 sec.\n",
      "===> Epoch[15](4260/5770): Loss: 214.1314 || Time: 0.3319 sec.\n",
      "===> Epoch[15](4280/5770): Loss: 66.5903 || Time: 0.3327 sec.\n",
      "===> Epoch[15](4300/5770): Loss: 206.5995 || Time: 0.3354 sec.\n",
      "===> Epoch[15](4320/5770): Loss: 327.5987 || Time: 0.3329 sec.\n",
      "===> Epoch[15](4340/5770): Loss: 441.4586 || Time: 0.3344 sec.\n",
      "===> Epoch[15](4360/5770): Loss: 131.4560 || Time: 0.3583 sec.\n",
      "===> Epoch[15](4380/5770): Loss: 74.4081 || Time: 0.3414 sec.\n",
      "===> Epoch[15](4400/5770): Loss: 531.1075 || Time: 0.3396 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 207.9877, Mean AP = 0.5228, Mean SSIM = 0.9571, Mean PSNR = 25.4111 || Time: 10.0274 sec.\n",
      "===> Epoch[15](4420/5770): Loss: 32.7964 || Time: 0.3284 sec.\n",
      "===> Epoch[15](4440/5770): Loss: 106.9459 || Time: 0.3355 sec.\n",
      "===> Epoch[15](4460/5770): Loss: 74.9621 || Time: 0.3329 sec.\n",
      "===> Epoch[15](4480/5770): Loss: 175.8446 || Time: 0.3309 sec.\n",
      "===> Epoch[15](4500/5770): Loss: 225.8909 || Time: 0.3378 sec.\n",
      "===> Epoch[15](4520/5770): Loss: 276.3680 || Time: 0.3324 sec.\n",
      "===> Epoch[15](4540/5770): Loss: 571.9739 || Time: 0.3364 sec.\n",
      "===> Epoch[15](4560/5770): Loss: 262.0121 || Time: 0.3307 sec.\n",
      "===> Epoch[15](4580/5770): Loss: 242.9073 || Time: 0.3549 sec.\n",
      "===> Epoch[15](4600/5770): Loss: 297.4715 || Time: 0.3364 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 223.5979, Mean AP = 0.5231, Mean SSIM = 0.9571, Mean PSNR = 25.3912 || Time: 10.0790 sec.\n",
      "===> Epoch[15](4620/5770): Loss: 268.9791 || Time: 0.3279 sec.\n",
      "===> Epoch[15](4640/5770): Loss: 329.7738 || Time: 0.3455 sec.\n",
      "===> Epoch[15](4660/5770): Loss: 40.8274 || Time: 0.3338 sec.\n",
      "===> Epoch[15](4680/5770): Loss: 120.8122 || Time: 0.3311 sec.\n",
      "===> Epoch[15](4700/5770): Loss: 250.6289 || Time: 0.3359 sec.\n",
      "===> Epoch[15](4720/5770): Loss: 140.5633 || Time: 0.3359 sec.\n",
      "===> Epoch[15](4740/5770): Loss: 109.6309 || Time: 0.3553 sec.\n",
      "===> Epoch[15](4760/5770): Loss: 210.8959 || Time: 0.3506 sec.\n",
      "===> Epoch[15](4780/5770): Loss: 119.1617 || Time: 0.3339 sec.\n",
      "===> Epoch[15](4800/5770): Loss: 241.4648 || Time: 0.3426 sec.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Evaluating detections\n",
      "Mean Loss = 210.9027, Mean AP = 0.5253, Mean SSIM = 0.9572, Mean PSNR = 25.3435 || Time: 10.0988 sec.\n",
      "===> Epoch[15](4820/5770): Loss: 43.8692 || Time: 0.3306 sec.\n",
      "===> Epoch[15](4840/5770): Loss: 287.9180 || Time: 0.3356 sec.\n",
      "===> Epoch[15](4860/5770): Loss: 346.7438 || Time: 0.3330 sec.\n",
      "===> Epoch[15](4880/5770): Loss: 442.4224 || Time: 0.3594 sec.\n",
      "===> Epoch[15](4900/5770): Loss: 227.0101 || Time: 0.3340 sec.\n",
      "===> Epoch[15](4920/5770): Loss: 98.2301 || Time: 0.3309 sec.\n",
      "===> Epoch[15](4940/5770): Loss: 131.0231 || Time: 0.3385 sec.\n",
      "===> Epoch[15](4960/5770): Loss: 192.8639 || Time: 0.3326 sec.\n",
      "===> Epoch[15](4980/5770): Loss: 210.2131 || Time: 0.3379 sec.\n",
      "===> Epoch[15](5000/5770): Loss: 138.6490 || Time: 0.3345 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 229.1604, Mean AP = 0.5722, Mean SSIM = 0.9572, Mean PSNR = 25.4034 || Time: 10.0975 sec.\n",
      "Saving state, iter: 5000\n",
      "===> Epoch[15](5020/5770): Loss: 283.4044 || Time: 0.3306 sec.\n",
      "===> Epoch[15](5040/5770): Loss: 79.1994 || Time: 0.3319 sec.\n",
      "===> Epoch[15](5060/5770): Loss: 125.6371 || Time: 0.3406 sec.\n",
      "===> Epoch[15](5080/5770): Loss: 216.7035 || Time: 0.3370 sec.\n",
      "===> Epoch[15](5100/5770): Loss: 599.8643 || Time: 0.3402 sec.\n",
      "===> Epoch[15](5120/5770): Loss: 62.5913 || Time: 0.3350 sec.\n",
      "===> Epoch[15](5140/5770): Loss: 286.1666 || Time: 0.3357 sec.\n",
      "===> Epoch[15](5160/5770): Loss: 64.4751 || Time: 0.3409 sec.\n",
      "===> Epoch[15](5180/5770): Loss: 308.5135 || Time: 0.3308 sec.\n",
      "===> Epoch[15](5200/5770): Loss: 98.0486 || Time: 0.3315 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 226.3357, Mean AP = 0.5263, Mean SSIM = 0.9571, Mean PSNR = 25.4333 || Time: 10.0714 sec.\n",
      "===> Epoch[15](5220/5770): Loss: 97.2343 || Time: 0.3296 sec.\n",
      "===> Epoch[15](5240/5770): Loss: 190.3690 || Time: 0.3346 sec.\n",
      "===> Epoch[15](5260/5770): Loss: 222.0738 || Time: 0.3343 sec.\n",
      "===> Epoch[15](5280/5770): Loss: 224.0708 || Time: 0.3356 sec.\n",
      "===> Epoch[15](5300/5770): Loss: 129.0707 || Time: 0.3304 sec.\n",
      "===> Epoch[15](5320/5770): Loss: 294.8363 || Time: 0.3387 sec.\n",
      "===> Epoch[15](5340/5770): Loss: 141.9948 || Time: 0.3350 sec.\n",
      "===> Epoch[15](5360/5770): Loss: 43.2175 || Time: 0.3320 sec.\n",
      "===> Epoch[15](5380/5770): Loss: 169.9591 || Time: 0.3331 sec.\n",
      "===> Epoch[15](5400/5770): Loss: 112.2891 || Time: 0.3295 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 225.4940, Mean AP = 0.5310, Mean SSIM = 0.9572, Mean PSNR = 25.3911 || Time: 10.1050 sec.\n",
      "===> Epoch[15](5420/5770): Loss: 193.5803 || Time: 0.3366 sec.\n",
      "===> Epoch[15](5440/5770): Loss: 294.6283 || Time: 0.3321 sec.\n",
      "===> Epoch[15](5460/5770): Loss: 39.3412 || Time: 0.3404 sec.\n",
      "===> Epoch[15](5480/5770): Loss: 166.3219 || Time: 0.3377 sec.\n",
      "===> Epoch[15](5500/5770): Loss: 441.3823 || Time: 0.3534 sec.\n",
      "===> Epoch[15](5520/5770): Loss: 230.7185 || Time: 0.3318 sec.\n",
      "===> Epoch[15](5540/5770): Loss: 389.0248 || Time: 0.3360 sec.\n",
      "===> Epoch[15](5560/5770): Loss: 121.3749 || Time: 0.3332 sec.\n",
      "===> Epoch[15](5580/5770): Loss: 120.0338 || Time: 0.3329 sec.\n",
      "===> Epoch[15](5600/5770): Loss: 328.7848 || Time: 0.3353 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 210.3164, Mean AP = 0.5202, Mean SSIM = 0.9573, Mean PSNR = 25.4141 || Time: 10.0673 sec.\n",
      "===> Epoch 15 Complete: Avg. Loss: 108.6017 || Time: 2172.5636 sec.\n",
      "===> Epoch[16](20/5770): Loss: 140.3463 || Time: 0.3375 sec.\n",
      "===> Epoch[16](40/5770): Loss: 81.5331 || Time: 0.3428 sec.\n",
      "===> Epoch[16](60/5770): Loss: 244.6733 || Time: 0.3391 sec.\n",
      "===> Epoch[16](80/5770): Loss: 110.0705 || Time: 0.3478 sec.\n",
      "===> Epoch[16](100/5770): Loss: 328.4415 || Time: 0.3348 sec.\n",
      "===> Epoch[16](120/5770): Loss: 112.7136 || Time: 0.3310 sec.\n",
      "===> Epoch[16](140/5770): Loss: 347.5397 || Time: 0.3346 sec.\n",
      "===> Epoch[16](160/5770): Loss: 239.3378 || Time: 0.3296 sec.\n",
      "===> Epoch[16](180/5770): Loss: 349.6259 || Time: 0.3376 sec.\n",
      "===> Epoch[16](200/5770): Loss: 217.3631 || Time: 0.3323 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 195.0914, Mean AP = 0.5170, Mean SSIM = 0.9573, Mean PSNR = 25.4133 || Time: 10.1139 sec.\n",
      "===> Epoch[16](220/5770): Loss: 85.0171 || Time: 0.3401 sec.\n",
      "===> Epoch[16](240/5770): Loss: 244.1277 || Time: 0.3411 sec.\n",
      "===> Epoch[16](260/5770): Loss: 168.9231 || Time: 0.3388 sec.\n",
      "===> Epoch[16](280/5770): Loss: 126.7979 || Time: 0.3368 sec.\n",
      "===> Epoch[16](300/5770): Loss: 142.2718 || Time: 0.3328 sec.\n",
      "===> Epoch[16](320/5770): Loss: 147.2593 || Time: 0.3352 sec.\n",
      "===> Epoch[16](340/5770): Loss: 157.2828 || Time: 0.3439 sec.\n",
      "===> Epoch[16](360/5770): Loss: 209.1048 || Time: 0.3325 sec.\n",
      "===> Epoch[16](380/5770): Loss: 170.7914 || Time: 0.3380 sec.\n",
      "===> Epoch[16](400/5770): Loss: 276.2645 || Time: 0.3306 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 202.0188, Mean AP = 0.5178, Mean SSIM = 0.9573, Mean PSNR = 25.4075 || Time: 10.0424 sec.\n",
      "===> Epoch[16](420/5770): Loss: 81.4089 || Time: 0.3308 sec.\n",
      "===> Epoch[16](440/5770): Loss: 423.8927 || Time: 0.3310 sec.\n",
      "===> Epoch[16](460/5770): Loss: 173.1638 || Time: 0.3315 sec.\n",
      "===> Epoch[16](480/5770): Loss: 57.0260 || Time: 0.3342 sec.\n",
      "===> Epoch[16](500/5770): Loss: 68.3124 || Time: 0.3304 sec.\n",
      "===> Epoch[16](520/5770): Loss: 217.8349 || Time: 0.3459 sec.\n",
      "===> Epoch[16](540/5770): Loss: 262.6069 || Time: 0.3318 sec.\n",
      "===> Epoch[16](560/5770): Loss: 211.4243 || Time: 0.3305 sec.\n",
      "===> Epoch[16](580/5770): Loss: 233.8940 || Time: 0.3456 sec.\n",
      "===> Epoch[16](600/5770): Loss: 47.7737 || Time: 0.3392 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 207.5392, Mean AP = 0.5242, Mean SSIM = 0.9575, Mean PSNR = 25.3702 || Time: 10.1105 sec.\n",
      "===> Epoch[16](620/5770): Loss: 114.1958 || Time: 0.3379 sec.\n",
      "===> Epoch[16](640/5770): Loss: 200.6875 || Time: 0.3396 sec.\n",
      "===> Epoch[16](660/5770): Loss: 114.6674 || Time: 0.3375 sec.\n",
      "===> Epoch[16](680/5770): Loss: 186.1750 || Time: 0.3364 sec.\n",
      "===> Epoch[16](700/5770): Loss: 262.0589 || Time: 0.3374 sec.\n",
      "===> Epoch[16](720/5770): Loss: 91.9385 || Time: 0.3482 sec.\n",
      "===> Epoch[16](740/5770): Loss: 355.2871 || Time: 0.3383 sec.\n",
      "===> Epoch[16](760/5770): Loss: 298.6010 || Time: 0.3380 sec.\n",
      "===> Epoch[16](780/5770): Loss: 426.2047 || Time: 0.3404 sec.\n",
      "===> Epoch[16](800/5770): Loss: 153.0506 || Time: 0.3393 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 214.0762, Mean AP = 0.5161, Mean SSIM = 0.9572, Mean PSNR = 25.4209 || Time: 10.1802 sec.\n",
      "===> Epoch[16](820/5770): Loss: 293.0802 || Time: 0.3307 sec.\n",
      "===> Epoch[16](840/5770): Loss: 274.4247 || Time: 0.3315 sec.\n",
      "===> Epoch[16](860/5770): Loss: 241.0592 || Time: 0.3311 sec.\n",
      "===> Epoch[16](880/5770): Loss: 136.3996 || Time: 0.3356 sec.\n",
      "===> Epoch[16](900/5770): Loss: 266.4590 || Time: 0.3322 sec.\n",
      "===> Epoch[16](920/5770): Loss: 149.7702 || Time: 0.3330 sec.\n",
      "===> Epoch[16](940/5770): Loss: 302.7933 || Time: 0.3311 sec.\n",
      "===> Epoch[16](960/5770): Loss: 87.4610 || Time: 0.3357 sec.\n",
      "===> Epoch[16](980/5770): Loss: 258.0174 || Time: 0.3308 sec.\n",
      "===> Epoch[16](1000/5770): Loss: 86.6587 || Time: 0.3317 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 206.2828, Mean AP = 0.5665, Mean SSIM = 0.9572, Mean PSNR = 25.4237 || Time: 10.0710 sec.\n",
      "Saving state, iter: 1000\n",
      "===> Epoch[16](1020/5770): Loss: 251.2948 || Time: 0.3306 sec.\n",
      "===> Epoch[16](1040/5770): Loss: 233.5930 || Time: 0.3340 sec.\n",
      "===> Epoch[16](1060/5770): Loss: 121.7060 || Time: 0.3350 sec.\n",
      "===> Epoch[16](1080/5770): Loss: 595.9115 || Time: 0.3479 sec.\n",
      "===> Epoch[16](1100/5770): Loss: 322.0005 || Time: 0.3329 sec.\n",
      "===> Epoch[16](1120/5770): Loss: 285.1358 || Time: 0.3552 sec.\n",
      "===> Epoch[16](1140/5770): Loss: 102.5130 || Time: 0.3303 sec.\n",
      "===> Epoch[16](1160/5770): Loss: 228.6052 || Time: 0.3368 sec.\n",
      "===> Epoch[16](1180/5770): Loss: 112.0361 || Time: 0.3378 sec.\n",
      "===> Epoch[16](1200/5770): Loss: 144.6913 || Time: 0.3424 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 216.9363, Mean AP = 0.5796, Mean SSIM = 0.9573, Mean PSNR = 25.4209 || Time: 10.0027 sec.\n",
      "===> Epoch[16](1220/5770): Loss: 310.4950 || Time: 0.3312 sec.\n",
      "===> Epoch[16](1240/5770): Loss: 295.5763 || Time: 0.3347 sec.\n",
      "===> Epoch[16](1260/5770): Loss: 553.7835 || Time: 0.3372 sec.\n",
      "===> Epoch[16](1280/5770): Loss: 250.8102 || Time: 0.3372 sec.\n",
      "===> Epoch[16](1300/5770): Loss: 115.6080 || Time: 0.3455 sec.\n",
      "===> Epoch[16](1320/5770): Loss: 408.9678 || Time: 0.3357 sec.\n",
      "===> Epoch[16](1340/5770): Loss: 155.0140 || Time: 0.3337 sec.\n",
      "===> Epoch[16](1360/5770): Loss: 126.2442 || Time: 0.3321 sec.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> Epoch[16](1380/5770): Loss: 136.3631 || Time: 0.3393 sec.\n",
      "===> Epoch[16](1400/5770): Loss: 225.4879 || Time: 0.3308 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 228.4361, Mean AP = 0.5200, Mean SSIM = 0.9572, Mean PSNR = 25.4243 || Time: 10.0663 sec.\n",
      "===> Epoch[16](1420/5770): Loss: 240.8923 || Time: 0.3314 sec.\n",
      "===> Epoch[16](1440/5770): Loss: 227.6538 || Time: 0.3403 sec.\n",
      "===> Epoch[16](1460/5770): Loss: 235.6743 || Time: 0.3319 sec.\n",
      "===> Epoch[16](1480/5770): Loss: 184.1040 || Time: 0.3317 sec.\n",
      "===> Epoch[16](1500/5770): Loss: 279.0223 || Time: 0.3345 sec.\n",
      "===> Epoch[16](1520/5770): Loss: 161.8639 || Time: 0.3388 sec.\n",
      "===> Epoch[16](1540/5770): Loss: 226.6246 || Time: 0.3381 sec.\n",
      "===> Epoch[16](1560/5770): Loss: 306.5453 || Time: 0.3316 sec.\n",
      "===> Epoch[16](1580/5770): Loss: 90.4074 || Time: 0.3438 sec.\n",
      "===> Epoch[16](1600/5770): Loss: 63.3647 || Time: 0.3422 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 225.0808, Mean AP = 0.5195, Mean SSIM = 0.9570, Mean PSNR = 25.4004 || Time: 9.9902 sec.\n",
      "===> Epoch[16](1620/5770): Loss: 337.6925 || Time: 0.3401 sec.\n",
      "===> Epoch[16](1640/5770): Loss: 352.6881 || Time: 0.3365 sec.\n",
      "===> Epoch[16](1660/5770): Loss: 111.7916 || Time: 0.3384 sec.\n",
      "===> Epoch[16](1680/5770): Loss: 143.3158 || Time: 0.3357 sec.\n",
      "===> Epoch[16](1700/5770): Loss: 313.8167 || Time: 0.3470 sec.\n",
      "===> Epoch[16](1720/5770): Loss: 134.9557 || Time: 0.3398 sec.\n",
      "===> Epoch[16](1740/5770): Loss: 483.3152 || Time: 0.3355 sec.\n",
      "===> Epoch[16](1760/5770): Loss: 248.7301 || Time: 0.3434 sec.\n",
      "===> Epoch[16](1780/5770): Loss: 256.4503 || Time: 0.3393 sec.\n",
      "===> Epoch[16](1800/5770): Loss: 96.7426 || Time: 0.3432 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 218.5416, Mean AP = 0.5255, Mean SSIM = 0.9571, Mean PSNR = 25.3587 || Time: 10.0963 sec.\n",
      "===> Epoch[16](1820/5770): Loss: 133.4928 || Time: 0.3298 sec.\n",
      "===> Epoch[16](1840/5770): Loss: 449.7014 || Time: 0.3404 sec.\n",
      "===> Epoch[16](1860/5770): Loss: 278.9237 || Time: 0.3410 sec.\n",
      "===> Epoch[16](1880/5770): Loss: 163.6924 || Time: 0.3311 sec.\n",
      "===> Epoch[16](1900/5770): Loss: 141.5689 || Time: 0.3389 sec.\n",
      "===> Epoch[16](1920/5770): Loss: 298.6609 || Time: 0.3344 sec.\n",
      "===> Epoch[16](1940/5770): Loss: 115.5329 || Time: 0.3325 sec.\n",
      "===> Epoch[16](1960/5770): Loss: 148.3493 || Time: 0.3381 sec.\n",
      "===> Epoch[16](1980/5770): Loss: 238.1804 || Time: 0.3320 sec.\n",
      "===> Epoch[16](2000/5770): Loss: 217.4497 || Time: 0.3347 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 217.6096, Mean AP = 0.5255, Mean SSIM = 0.9569, Mean PSNR = 25.3970 || Time: 10.0055 sec.\n",
      "Saving state, iter: 2000\n",
      "===> Epoch[16](2020/5770): Loss: 129.5347 || Time: 0.3320 sec.\n",
      "===> Epoch[16](2040/5770): Loss: 389.5126 || Time: 0.3409 sec.\n",
      "===> Epoch[16](2060/5770): Loss: 162.0823 || Time: 0.3376 sec.\n",
      "===> Epoch[16](2080/5770): Loss: 107.4694 || Time: 0.3328 sec.\n",
      "===> Epoch[16](2100/5770): Loss: 186.2968 || Time: 0.3325 sec.\n",
      "===> Epoch[16](2120/5770): Loss: 110.4179 || Time: 0.3567 sec.\n",
      "===> Epoch[16](2140/5770): Loss: 237.3514 || Time: 0.3292 sec.\n",
      "===> Epoch[16](2160/5770): Loss: 266.8177 || Time: 0.3355 sec.\n",
      "===> Epoch[16](2180/5770): Loss: 262.9225 || Time: 0.3299 sec.\n",
      "===> Epoch[16](2200/5770): Loss: 331.4661 || Time: 0.3343 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 221.9888, Mean AP = 0.5286, Mean SSIM = 0.9574, Mean PSNR = 25.4248 || Time: 10.0877 sec.\n",
      "===> Epoch[16](2220/5770): Loss: 96.7814 || Time: 0.3305 sec.\n",
      "===> Epoch[16](2240/5770): Loss: 176.1874 || Time: 0.3281 sec.\n",
      "===> Epoch[16](2260/5770): Loss: 120.9894 || Time: 0.3296 sec.\n",
      "===> Epoch[16](2280/5770): Loss: 452.1679 || Time: 0.3333 sec.\n",
      "===> Epoch[16](2300/5770): Loss: 295.4238 || Time: 0.3369 sec.\n",
      "===> Epoch[16](2320/5770): Loss: 101.8186 || Time: 0.3337 sec.\n",
      "===> Epoch[16](2340/5770): Loss: 499.0894 || Time: 0.3353 sec.\n",
      "===> Epoch[16](2360/5770): Loss: 136.4908 || Time: 0.3315 sec.\n",
      "===> Epoch[16](2380/5770): Loss: 325.7542 || Time: 0.3326 sec.\n",
      "===> Epoch[16](2400/5770): Loss: 149.5305 || Time: 0.3562 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 245.0024, Mean AP = 0.5210, Mean SSIM = 0.9571, Mean PSNR = 25.3807 || Time: 10.0595 sec.\n",
      "===> Epoch[16](2420/5770): Loss: 115.5211 || Time: 0.3290 sec.\n",
      "===> Epoch[16](2440/5770): Loss: 454.4244 || Time: 0.3408 sec.\n",
      "===> Epoch[16](2460/5770): Loss: 73.4213 || Time: 0.3445 sec.\n",
      "===> Epoch[16](2480/5770): Loss: 426.3863 || Time: 0.3412 sec.\n",
      "===> Epoch[16](2500/5770): Loss: 154.3897 || Time: 0.3374 sec.\n",
      "===> Epoch[16](2520/5770): Loss: 288.7031 || Time: 0.3419 sec.\n",
      "===> Epoch[16](2540/5770): Loss: 363.2217 || Time: 0.3429 sec.\n",
      "===> Epoch[16](2560/5770): Loss: 446.4561 || Time: 0.3384 sec.\n",
      "===> Epoch[16](2580/5770): Loss: 565.8947 || Time: 0.3409 sec.\n",
      "===> Epoch[16](2600/5770): Loss: 139.4584 || Time: 0.3443 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 216.8829, Mean AP = 0.5236, Mean SSIM = 0.9573, Mean PSNR = 25.3774 || Time: 10.1219 sec.\n",
      "===> Epoch[16](2620/5770): Loss: 61.7356 || Time: 0.3278 sec.\n",
      "===> Epoch[16](2640/5770): Loss: 179.5707 || Time: 0.3355 sec.\n",
      "===> Epoch[16](2660/5770): Loss: 110.8442 || Time: 0.3482 sec.\n",
      "===> Epoch[16](2680/5770): Loss: 332.4543 || Time: 0.3324 sec.\n",
      "===> Epoch[16](2700/5770): Loss: 197.3881 || Time: 0.3358 sec.\n",
      "===> Epoch[16](2720/5770): Loss: 293.1243 || Time: 0.3400 sec.\n",
      "===> Epoch[16](2740/5770): Loss: 264.4674 || Time: 0.3378 sec.\n",
      "===> Epoch[16](2760/5770): Loss: 93.3745 || Time: 0.3340 sec.\n",
      "===> Epoch[16](2780/5770): Loss: 434.7582 || Time: 0.3353 sec.\n",
      "===> Epoch[16](2800/5770): Loss: 133.6179 || Time: 0.3300 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 232.0025, Mean AP = 0.5229, Mean SSIM = 0.9570, Mean PSNR = 25.3818 || Time: 10.0228 sec.\n",
      "===> Epoch[16](2820/5770): Loss: 216.6192 || Time: 0.3293 sec.\n",
      "===> Epoch[16](2840/5770): Loss: 80.1712 || Time: 0.3336 sec.\n",
      "===> Epoch[16](2860/5770): Loss: 146.3349 || Time: 0.3403 sec.\n",
      "===> Epoch[16](2880/5770): Loss: 283.4877 || Time: 0.3308 sec.\n",
      "===> Epoch[16](2900/5770): Loss: 803.4601 || Time: 0.3385 sec.\n",
      "===> Epoch[16](2920/5770): Loss: 293.4101 || Time: 0.3343 sec.\n",
      "===> Epoch[16](2940/5770): Loss: 397.6499 || Time: 0.3310 sec.\n",
      "===> Epoch[16](2960/5770): Loss: 250.9823 || Time: 0.3435 sec.\n",
      "===> Epoch[16](2980/5770): Loss: 243.9501 || Time: 0.3421 sec.\n",
      "===> Epoch[16](3000/5770): Loss: 194.5051 || Time: 0.3322 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 214.3765, Mean AP = 0.5268, Mean SSIM = 0.9571, Mean PSNR = 25.3962 || Time: 10.0317 sec.\n",
      "Saving state, iter: 3000\n",
      "===> Epoch[16](3020/5770): Loss: 296.3408 || Time: 0.3297 sec.\n",
      "===> Epoch[16](3040/5770): Loss: 187.4028 || Time: 0.3410 sec.\n",
      "===> Epoch[16](3060/5770): Loss: 376.3605 || Time: 0.3437 sec.\n",
      "===> Epoch[16](3080/5770): Loss: 249.6228 || Time: 0.3301 sec.\n",
      "===> Epoch[16](3100/5770): Loss: 266.2017 || Time: 0.3358 sec.\n",
      "===> Epoch[16](3120/5770): Loss: 73.4725 || Time: 0.3346 sec.\n",
      "===> Epoch[16](3140/5770): Loss: 126.2249 || Time: 0.3402 sec.\n",
      "===> Epoch[16](3160/5770): Loss: 137.5780 || Time: 0.3361 sec.\n",
      "===> Epoch[16](3180/5770): Loss: 322.1303 || Time: 0.3486 sec.\n",
      "===> Epoch[16](3200/5770): Loss: 207.6342 || Time: 0.3387 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 218.0763, Mean AP = 0.5254, Mean SSIM = 0.9569, Mean PSNR = 25.3871 || Time: 10.0291 sec.\n",
      "===> Epoch[16](3220/5770): Loss: 130.6344 || Time: 0.3395 sec.\n",
      "===> Epoch[16](3240/5770): Loss: 238.0374 || Time: 0.3315 sec.\n",
      "===> Epoch[16](3260/5770): Loss: 531.6917 || Time: 0.3328 sec.\n",
      "===> Epoch[16](3280/5770): Loss: 121.9207 || Time: 0.3318 sec.\n",
      "===> Epoch[16](3300/5770): Loss: 198.1761 || Time: 0.3439 sec.\n",
      "===> Epoch[16](3320/5770): Loss: 227.3439 || Time: 0.3386 sec.\n",
      "===> Epoch[16](3340/5770): Loss: 235.0001 || Time: 0.3295 sec.\n",
      "===> Epoch[16](3360/5770): Loss: 176.7966 || Time: 0.3338 sec.\n",
      "===> Epoch[16](3380/5770): Loss: 280.4154 || Time: 0.3386 sec.\n",
      "===> Epoch[16](3400/5770): Loss: 140.6632 || Time: 0.3317 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 214.9100, Mean AP = 0.5283, Mean SSIM = 0.9572, Mean PSNR = 25.4009 || Time: 10.1579 sec.\n",
      "===> Epoch[16](3420/5770): Loss: 296.1051 || Time: 0.3300 sec.\n",
      "===> Epoch[16](3440/5770): Loss: 238.5242 || Time: 0.3353 sec.\n",
      "===> Epoch[16](3460/5770): Loss: 57.7280 || Time: 0.3338 sec.\n",
      "===> Epoch[16](3480/5770): Loss: 48.1066 || Time: 0.3402 sec.\n",
      "===> Epoch[16](3500/5770): Loss: 147.8860 || Time: 0.3372 sec.\n",
      "===> Epoch[16](3520/5770): Loss: 238.9076 || Time: 0.3380 sec.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> Epoch[16](3540/5770): Loss: 52.2688 || Time: 0.3351 sec.\n",
      "===> Epoch[16](3560/5770): Loss: 119.2441 || Time: 0.3319 sec.\n",
      "===> Epoch[16](3580/5770): Loss: 185.9588 || Time: 0.3317 sec.\n",
      "===> Epoch[16](3600/5770): Loss: 139.1834 || Time: 0.3304 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 205.1273, Mean AP = 0.5266, Mean SSIM = 0.9571, Mean PSNR = 25.3579 || Time: 10.0189 sec.\n",
      "===> Epoch[16](3620/5770): Loss: 238.4521 || Time: 0.3281 sec.\n",
      "===> Epoch[16](3640/5770): Loss: 151.7383 || Time: 0.3322 sec.\n",
      "===> Epoch[16](3660/5770): Loss: 143.0640 || Time: 0.3321 sec.\n",
      "===> Epoch[16](3680/5770): Loss: 367.6461 || Time: 0.3340 sec.\n",
      "===> Epoch[16](3700/5770): Loss: 123.7847 || Time: 0.3360 sec.\n",
      "===> Epoch[16](3720/5770): Loss: 506.9664 || Time: 0.3383 sec.\n",
      "===> Epoch[16](3740/5770): Loss: 252.6246 || Time: 0.3303 sec.\n",
      "===> Epoch[16](3760/5770): Loss: 106.4387 || Time: 0.3353 sec.\n",
      "===> Epoch[16](3780/5770): Loss: 221.3364 || Time: 0.3465 sec.\n",
      "===> Epoch[16](3800/5770): Loss: 51.5501 || Time: 0.3445 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 207.7630, Mean AP = 0.5775, Mean SSIM = 0.9569, Mean PSNR = 25.3829 || Time: 10.1249 sec.\n",
      "===> Epoch[16](3820/5770): Loss: 85.6593 || Time: 0.3283 sec.\n",
      "===> Epoch[16](3840/5770): Loss: 127.3110 || Time: 0.3286 sec.\n",
      "===> Epoch[16](3860/5770): Loss: 112.2962 || Time: 0.3357 sec.\n",
      "===> Epoch[16](3880/5770): Loss: 120.0832 || Time: 0.3307 sec.\n",
      "===> Epoch[16](3900/5770): Loss: 227.2984 || Time: 0.3311 sec.\n",
      "===> Epoch[16](3920/5770): Loss: 122.1830 || Time: 0.3337 sec.\n",
      "===> Epoch[16](3940/5770): Loss: 59.4746 || Time: 0.3377 sec.\n",
      "===> Epoch[16](3960/5770): Loss: 233.0593 || Time: 0.3340 sec.\n",
      "===> Epoch[16](3980/5770): Loss: 280.7936 || Time: 0.3355 sec.\n",
      "===> Epoch[16](4000/5770): Loss: 215.1150 || Time: 0.3343 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 211.0242, Mean AP = 0.5752, Mean SSIM = 0.9571, Mean PSNR = 25.4155 || Time: 10.0139 sec.\n",
      "Saving state, iter: 4000\n",
      "===> Epoch[16](4020/5770): Loss: 57.0291 || Time: 0.3374 sec.\n",
      "===> Epoch[16](4040/5770): Loss: 278.2231 || Time: 0.3312 sec.\n",
      "===> Epoch[16](4060/5770): Loss: 108.5152 || Time: 0.3339 sec.\n",
      "===> Epoch[16](4080/5770): Loss: 225.8722 || Time: 0.3316 sec.\n",
      "===> Epoch[16](4100/5770): Loss: 71.3309 || Time: 0.3316 sec.\n",
      "===> Epoch[16](4120/5770): Loss: 228.0613 || Time: 0.3348 sec.\n",
      "===> Epoch[16](4140/5770): Loss: 108.0990 || Time: 0.3397 sec.\n",
      "===> Epoch[16](4160/5770): Loss: 97.5379 || Time: 0.3369 sec.\n",
      "===> Epoch[16](4180/5770): Loss: 217.8854 || Time: 0.3348 sec.\n",
      "===> Epoch[16](4200/5770): Loss: 256.2080 || Time: 0.3396 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 199.2168, Mean AP = 0.5220, Mean SSIM = 0.9574, Mean PSNR = 25.4030 || Time: 9.9874 sec.\n",
      "===> Epoch[16](4220/5770): Loss: 283.9645 || Time: 0.3284 sec.\n",
      "===> Epoch[16](4240/5770): Loss: 142.2020 || Time: 0.3441 sec.\n",
      "===> Epoch[16](4260/5770): Loss: 213.5565 || Time: 0.3449 sec.\n",
      "===> Epoch[16](4280/5770): Loss: 65.8755 || Time: 0.3405 sec.\n",
      "===> Epoch[16](4300/5770): Loss: 206.5099 || Time: 0.3317 sec.\n",
      "===> Epoch[16](4320/5770): Loss: 324.4110 || Time: 0.3404 sec.\n",
      "===> Epoch[16](4340/5770): Loss: 435.2705 || Time: 0.3540 sec.\n",
      "===> Epoch[16](4360/5770): Loss: 131.4254 || Time: 0.3414 sec.\n",
      "===> Epoch[16](4380/5770): Loss: 73.3298 || Time: 0.3325 sec.\n",
      "===> Epoch[16](4400/5770): Loss: 526.2635 || Time: 0.3312 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 206.8144, Mean AP = 0.5251, Mean SSIM = 0.9571, Mean PSNR = 25.4033 || Time: 10.0329 sec.\n",
      "===> Epoch[16](4420/5770): Loss: 33.2256 || Time: 0.3310 sec.\n",
      "===> Epoch[16](4440/5770): Loss: 107.0886 || Time: 0.3437 sec.\n",
      "===> Epoch[16](4460/5770): Loss: 75.6560 || Time: 0.3307 sec.\n",
      "===> Epoch[16](4480/5770): Loss: 177.3572 || Time: 0.3374 sec.\n",
      "===> Epoch[16](4500/5770): Loss: 233.1965 || Time: 0.3361 sec.\n",
      "===> Epoch[16](4520/5770): Loss: 276.3240 || Time: 0.3313 sec.\n",
      "===> Epoch[16](4540/5770): Loss: 570.8848 || Time: 0.3465 sec.\n",
      "===> Epoch[16](4560/5770): Loss: 260.1021 || Time: 0.3338 sec.\n",
      "===> Epoch[16](4580/5770): Loss: 241.9178 || Time: 0.3340 sec.\n",
      "===> Epoch[16](4600/5770): Loss: 299.1658 || Time: 0.3596 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 223.0563, Mean AP = 0.5206, Mean SSIM = 0.9572, Mean PSNR = 25.3938 || Time: 10.0647 sec.\n",
      "===> Epoch[16](4620/5770): Loss: 269.9474 || Time: 0.3292 sec.\n",
      "===> Epoch[16](4640/5770): Loss: 328.2468 || Time: 0.3301 sec.\n",
      "===> Epoch[16](4660/5770): Loss: 40.5614 || Time: 0.3323 sec.\n",
      "===> Epoch[16](4680/5770): Loss: 120.5384 || Time: 0.3364 sec.\n",
      "===> Epoch[16](4700/5770): Loss: 249.0499 || Time: 0.3399 sec.\n",
      "===> Epoch[16](4720/5770): Loss: 138.5627 || Time: 0.3668 sec.\n",
      "===> Epoch[16](4740/5770): Loss: 109.4394 || Time: 0.3660 sec.\n",
      "===> Epoch[16](4760/5770): Loss: 208.8102 || Time: 0.3481 sec.\n",
      "===> Epoch[16](4780/5770): Loss: 119.2695 || Time: 0.3341 sec.\n",
      "===> Epoch[16](4800/5770): Loss: 238.8000 || Time: 0.3553 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 209.6770, Mean AP = 0.5226, Mean SSIM = 0.9571, Mean PSNR = 25.4251 || Time: 10.2005 sec.\n",
      "===> Epoch[16](4820/5770): Loss: 43.5551 || Time: 0.3301 sec.\n",
      "===> Epoch[16](4840/5770): Loss: 286.2708 || Time: 0.3353 sec.\n",
      "===> Epoch[16](4860/5770): Loss: 345.8174 || Time: 0.3303 sec.\n",
      "===> Epoch[16](4880/5770): Loss: 442.0681 || Time: 0.3372 sec.\n",
      "===> Epoch[16](4900/5770): Loss: 222.5979 || Time: 0.3448 sec.\n",
      "===> Epoch[16](4920/5770): Loss: 97.6114 || Time: 0.3324 sec.\n",
      "===> Epoch[16](4940/5770): Loss: 129.8953 || Time: 0.3330 sec.\n",
      "===> Epoch[16](4960/5770): Loss: 190.4069 || Time: 0.3361 sec.\n",
      "===> Epoch[16](4980/5770): Loss: 204.7064 || Time: 0.3340 sec.\n",
      "===> Epoch[16](5000/5770): Loss: 137.5487 || Time: 0.3294 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 227.4070, Mean AP = 0.5273, Mean SSIM = 0.9574, Mean PSNR = 25.4155 || Time: 10.1118 sec.\n",
      "Saving state, iter: 5000\n",
      "===> Epoch[16](5020/5770): Loss: 280.6290 || Time: 0.3291 sec.\n",
      "===> Epoch[16](5040/5770): Loss: 77.3166 || Time: 0.3404 sec.\n",
      "===> Epoch[16](5060/5770): Loss: 123.6534 || Time: 0.3382 sec.\n",
      "===> Epoch[16](5080/5770): Loss: 216.2122 || Time: 0.3327 sec.\n",
      "===> Epoch[16](5100/5770): Loss: 593.6693 || Time: 0.3299 sec.\n",
      "===> Epoch[16](5120/5770): Loss: 61.4145 || Time: 0.3293 sec.\n",
      "===> Epoch[16](5140/5770): Loss: 284.0815 || Time: 0.3308 sec.\n",
      "===> Epoch[16](5160/5770): Loss: 65.0202 || Time: 0.3337 sec.\n",
      "===> Epoch[16](5180/5770): Loss: 306.7176 || Time: 0.3360 sec.\n",
      "===> Epoch[16](5200/5770): Loss: 97.2700 || Time: 0.3585 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 224.7706, Mean AP = 0.5248, Mean SSIM = 0.9570, Mean PSNR = 25.4308 || Time: 10.0743 sec.\n",
      "===> Epoch[16](5220/5770): Loss: 96.8899 || Time: 0.3282 sec.\n",
      "===> Epoch[16](5240/5770): Loss: 189.0241 || Time: 0.3346 sec.\n",
      "===> Epoch[16](5260/5770): Loss: 216.6043 || Time: 0.3423 sec.\n",
      "===> Epoch[16](5280/5770): Loss: 224.8402 || Time: 0.3333 sec.\n",
      "===> Epoch[16](5300/5770): Loss: 126.6325 || Time: 0.3326 sec.\n",
      "===> Epoch[16](5320/5770): Loss: 291.5504 || Time: 0.3404 sec.\n",
      "===> Epoch[16](5340/5770): Loss: 141.3335 || Time: 0.3316 sec.\n",
      "===> Epoch[16](5360/5770): Loss: 42.8853 || Time: 0.3522 sec.\n",
      "===> Epoch[16](5380/5770): Loss: 166.8505 || Time: 0.3347 sec.\n",
      "===> Epoch[16](5400/5770): Loss: 112.2259 || Time: 0.3333 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 223.4041, Mean AP = 0.5257, Mean SSIM = 0.9574, Mean PSNR = 25.4123 || Time: 10.1260 sec.\n",
      "===> Epoch[16](5420/5770): Loss: 192.7681 || Time: 0.3390 sec.\n",
      "===> Epoch[16](5440/5770): Loss: 292.2285 || Time: 0.3312 sec.\n",
      "===> Epoch[16](5460/5770): Loss: 39.1407 || Time: 0.3309 sec.\n",
      "===> Epoch[16](5480/5770): Loss: 162.0562 || Time: 0.3324 sec.\n",
      "===> Epoch[16](5500/5770): Loss: 440.5408 || Time: 0.3353 sec.\n",
      "===> Epoch[16](5520/5770): Loss: 228.8947 || Time: 0.3709 sec.\n",
      "===> Epoch[16](5540/5770): Loss: 388.5512 || Time: 0.3324 sec.\n",
      "===> Epoch[16](5560/5770): Loss: 120.0010 || Time: 0.3345 sec.\n",
      "===> Epoch[16](5580/5770): Loss: 118.4430 || Time: 0.3355 sec.\n",
      "===> Epoch[16](5600/5770): Loss: 328.0110 || Time: 0.3471 sec.\n",
      "Evaluating detections\n",
      "Mean Loss = 209.1983, Mean AP = 0.5116, Mean SSIM = 0.9573, Mean PSNR = 25.4122 || Time: 10.0552 sec.\n",
      "===> Epoch 16 Complete: Avg. Loss: 107.8983 || Time: 2172.2793 sec.\n"
     ]
    }
   ],
   "source": [
    "# SROD Compund Loss relative ratio, Net-S vs. Net-D\n",
    "# Alpha is weight Loss from Net-S (e.g. DBPN) Loss\n",
    "# Beta  is weight Loss from Net-D (e.g. SSD ) Loss\n",
    "AlphaBeta = [(1.00, 0.01),   (1.00, 0.10),   (1.00, 1.00),   (0.10, 1.00),   (0.01, 1.00)]\n",
    "pickle_fs = ['a100b001.pkl', 'a100b010.pkl', 'a100b100.pkl', 'a010b100.pkl', 'a001b100.pkl']\n",
    "\n",
    "# a, b = AlphaBeta[0]\n",
    "# pf = pickle_fs[0]\n",
    "\n",
    "a, b = AlphaBeta[1]\n",
    "pf = pickle_fs[1]\n",
    "\n",
    "train(SRDnet, a, b, pf)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "torch.cuda.empty_cache()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Debugging code below, no need to run :)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# unpickle data records for visual\n",
    "with open(pf, 'rb') as f:\n",
    "    trainval = pickle.load(f)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print(' YOU Donot need to run this ===> Loading some datasets')\n",
    "\n",
    "lr_path = os.path.join(opt.input_dir, opt.train_dataset)\n",
    "hr_path = os.path.join(opt.input_dir, opt.hr_dataset)\n",
    "\n",
    "fine_train_set = get_pair_set(lr_path, hr_path)\n",
    "train_data_loader = DataLoader(dataset=fine_train_set, num_workers=opt.threads, \\\n",
    "                               batch_size=opt.testBatchSize, shuffle=False)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def simple_test():\n",
    "    SDnet = DBPN2SSD('dbpn/models/DBPN_x4.pth', 'ssd/weights/ssd300_mAP_77.43_v2.pth', True)\n",
    "    net = SDnet\n",
    "    \n",
    "    if cuda:\n",
    "        torch.set_default_tensor_type('torch.cuda.FloatTensor')\n",
    "        net = torch.nn.DataParallel(net)\n",
    "        cudnn.benchmark = True\n",
    "        net = net.cuda()\n",
    "\n",
    "    else:\n",
    "        torch.set_default_tensor_type('torch.FloatTensor')\n",
    "\n",
    "\n",
    "    \n",
    "simple_test()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# dtype = torch.FloatTensor\n",
    "dtype = torch.cuda.FloatTensor ## UNCOMMENT THIS LINE IF YOU'RE ON A GPU!\n",
    "\n",
    "# Real samples were all associated with Ture labels - 1\n",
    "T_labels = torch.ones(logits_real.size()).type(dtype)\n"
   ]
  }
 ],
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