PyTorch_Debugging_PyTorch_Models__Class_Activation_Mappings.ipynb

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        "<a href=\"https://colab.research.google.com/github/Shrey-Viradiya/PyTorch_for_DL/blob/master/PyTorch_Debugging_PyTorch_Models__Class_Activation_Mappings.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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    {
      "cell_type": "markdown",
      "metadata": {
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      },
      "source": [
        "# PyTorch_Debugging_PyTorch_Models_Class_Activation_Mappings"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HC6wcDUuQVUw"
      },
      "source": [
        "Refer https://github.com/falloutdurham/Beginners-pytorch-deep-learning/blob/master/chapter7/cam.ipynb"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
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        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 212
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      },
      "source": [
        "!wget https://raw.githubusercontent.com/falloutdurham/beginners-pytorch-deep-learning/master/chapter7/casper2.jpg"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "--2020-10-04 10:56:41--  https://raw.githubusercontent.com/falloutdurham/beginners-pytorch-deep-learning/master/chapter7/casper2.jpg\n",
            "Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 151.101.0.133, 151.101.64.133, 151.101.128.133, ...\n",
            "Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|151.101.0.133|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 212303 (207K) [image/jpeg]\n",
            "Saving to: ‘casper2.jpg’\n",
            "\n",
            "\rcasper2.jpg           0%[                    ]       0  --.-KB/s               \rcasper2.jpg         100%[===================>] 207.33K  --.-KB/s    in 0.03s   \n",
            "\n",
            "2020-10-04 10:56:41 (5.93 MB/s) - ‘casper2.jpg’ saved [212303/212303]\n",
            "\n"
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      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lcQTXw_hOtzW"
      },
      "source": [
        "from PIL import Image\n",
        "from matplotlib.pyplot import imshow\n",
        "from torchvision import models, transforms\n",
        "from torch.autograd import Variable\n",
        "from torch.nn import functional as F\n",
        "from torch import topk\n",
        "import numpy as np\n",
        "import skimage.transform"
      ],
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Zpnn6VgFOyj-",
        "outputId": "92b7a317-a11b-45c5-83a5-844a521269e2",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 268
        }
      },
      "source": [
        "image = Image.open(\"./casper2.jpg\")\n",
        "imshow(image)"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x7f7fd38c6390>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 3
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Wgxv8QHdO1K1"
      },
      "source": [
        "# Imagenet mean/std\n",
        "\n",
        "normalize = transforms.Normalize(\n",
        "   mean=[0.485, 0.456, 0.406],\n",
        "   std=[0.229, 0.224, 0.225]\n",
        ")\n",
        "\n",
        "# Preprocessing - scale to 224x224 for model, convert to tensor, \n",
        "# and normalize to -1..1 with mean/std for ImageNet\n",
        "\n",
        "preprocess = transforms.Compose([\n",
        "   transforms.Resize((224,224)),\n",
        "   transforms.ToTensor(),\n",
        "   normalize\n",
        "])\n",
        "\n",
        "display_transform = transforms.Compose([\n",
        "   transforms.Resize((224,224))])"
      ],
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tXjYuPxgPQgd"
      },
      "source": [
        "tensor = preprocess(image)"
      ],
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2jcspE9LPUqG"
      },
      "source": [
        "prediction_var = Variable((tensor.unsqueeze(0)).cuda(), requires_grad=True)"
      ],
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KB0IdPRDPaeu"
      },
      "source": [
        "Having converted our image into a PyTorch variable, we need a model to generate a prediction. Let's use ResNet18, put it in evaluation mode, and stick it on the GPU using the CUDA libraries."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "y3E1gCMOPW1p",
        "outputId": "1fd535e4-9674-41a7-8a3c-93d693408a0a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 84,
          "referenced_widgets": [
            "45b03b29e5bd4b3cbd7e4cf78e131925",
            "f1a166945806438ea8a171d0e2f4e3c5",
            "58be1fbc9ea346559eb374ab4d13baa9",
            "041b4ff4df504431a971b30baa5d0184",
            "13e1206a0ada444faa9faebb125ac7be",
            "a74bb15dc8b44bf7a9f7646af0b9a585",
            "c0617760130f411d8b306e3a6a5fdcbe",
            "586927e0fa184d50bfa17024bbd7479b"
          ]
        }
      },
      "source": [
        "model = models.resnet18(pretrained=True)"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading: \"https://download.pytorch.org/models/resnet18-5c106cde.pth\" to /root/.cache/torch/hub/checkpoints/resnet18-5c106cde.pth\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "45b03b29e5bd4b3cbd7e4cf78e131925",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, max=46827520.0), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GzoXMBUIPf1S",
        "outputId": "f940c046-77c3-4cb1-9737-5a3981ea3caa",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "model.cuda()\n",
        "model.eval()"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "ResNet(\n",
              "  (conv1): Conv2d(3, 64, kernel_size=(7, 7), stride=(2, 2), padding=(3, 3), bias=False)\n",
              "  (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "  (relu): ReLU(inplace=True)\n",
              "  (maxpool): MaxPool2d(kernel_size=3, stride=2, padding=1, dilation=1, ceil_mode=False)\n",
              "  (layer1): Sequential(\n",
              "    (0): BasicBlock(\n",
              "      (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
              "      (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "      (relu): ReLU(inplace=True)\n",
              "      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
              "      (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "    )\n",
              "    (1): BasicBlock(\n",
              "      (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
              "      (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "      (relu): ReLU(inplace=True)\n",
              "      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
              "      (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "    )\n",
              "  )\n",
              "  (layer2): Sequential(\n",
              "    (0): BasicBlock(\n",
              "      (conv1): Conv2d(64, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n",
              "      (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "      (relu): ReLU(inplace=True)\n",
              "      (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
              "      (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "      (downsample): Sequential(\n",
              "        (0): Conv2d(64, 128, kernel_size=(1, 1), stride=(2, 2), bias=False)\n",
              "        (1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "      )\n",
              "    )\n",
              "    (1): BasicBlock(\n",
              "      (conv1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
              "      (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "      (relu): ReLU(inplace=True)\n",
              "      (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
              "      (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "    )\n",
              "  )\n",
              "  (layer3): Sequential(\n",
              "    (0): BasicBlock(\n",
              "      (conv1): Conv2d(128, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n",
              "      (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "      (relu): ReLU(inplace=True)\n",
              "      (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
              "      (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "      (downsample): Sequential(\n",
              "        (0): Conv2d(128, 256, kernel_size=(1, 1), stride=(2, 2), bias=False)\n",
              "        (1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "      )\n",
              "    )\n",
              "    (1): BasicBlock(\n",
              "      (conv1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
              "      (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "      (relu): ReLU(inplace=True)\n",
              "      (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
              "      (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "    )\n",
              "  )\n",
              "  (layer4): Sequential(\n",
              "    (0): BasicBlock(\n",
              "      (conv1): Conv2d(256, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n",
              "      (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "      (relu): ReLU(inplace=True)\n",
              "      (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
              "      (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "      (downsample): Sequential(\n",
              "        (0): Conv2d(256, 512, kernel_size=(1, 1), stride=(2, 2), bias=False)\n",
              "        (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "      )\n",
              "    )\n",
              "    (1): BasicBlock(\n",
              "      (conv1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
              "      (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "      (relu): ReLU(inplace=True)\n",
              "      (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
              "      (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "    )\n",
              "  )\n",
              "  (avgpool): AdaptiveAvgPool2d(output_size=(1, 1))\n",
              "  (fc): Linear(in_features=512, out_features=1000, bias=True)\n",
              ")"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UkXUle-ZPlDm"
      },
      "source": [
        "class SaveFeatures():\n",
        "    features=None\n",
        "    def __init__(self, m): self.hook = m.register_forward_hook(self.hook_fn)\n",
        "    def hook_fn(self, module, input, output): self.features = ((output.cpu()).data).numpy()\n",
        "    def remove(self): self.hook.remove()"
      ],
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "AxeNKkZKPnTu"
      },
      "source": [
        "final_layer = model._modules.get('layer4')"
      ],
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "c40cGLTiPo34"
      },
      "source": [
        "activated_features = SaveFeatures(final_layer)"
      ],
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "i2tz_iSbPrqe",
        "outputId": "e1cf300e-1d3f-4062-e52e-fd96da16cf94",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 72
        }
      },
      "source": [
        "prediction = model(prediction_var)\n",
        "pred_probabilities = F.softmax(prediction).data.squeeze()"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:2: UserWarning: Implicit dimension choice for softmax has been deprecated. Change the call to include dim=X as an argument.\n",
            "  \n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hvbYV3sVPs3Y"
      },
      "source": [
        "activated_features.remove()"
      ],
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ds1NTcS2PwNG"
      },
      "source": [
        "Using topk(), we can see that our model is 78% confident that this picture is class 283. Looking that up in the ImageNet classes, that gives us…'persian cat'. Which I would say is not a terrible guess!"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ipaHI5SwPu0f",
        "outputId": "598be928-fed8-456a-897b-5b033212f0ac",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "topk(pred_probabilities,1)"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "torch.return_types.topk(values=tensor([0.7832], device='cuda:0'), indices=tensor([283], device='cuda:0'))"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7-ZmvMh1P2CB"
      },
      "source": [
        "Having made the guess, let's see where the neural network was focussing its attention. The getCAM() method here takes the activated features of the convnet, the weights of the fully-connected layer (on the side of the average pooling), and the class index we want to investigate (283 in our case). We index into the fully-connected layer to get the weights for that class and calculate the dot product with our features from the image."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_x4uSiyaP4I0"
      },
      "source": [
        "def getCAM(feature_conv, weight_fc, class_idx):\n",
        "    _, nc, h, w = feature_conv.shape\n",
        "    cam = weight_fc[class_idx].dot(feature_conv.reshape((nc, h*w)))\n",
        "    cam = cam.reshape(h, w)\n",
        "    cam = cam - np.min(cam)\n",
        "    cam_img = cam / np.max(cam)\n",
        "    return [cam_img]"
      ],
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QRGekZ2qP5iT"
      },
      "source": [
        "weight_softmax_params = list(model._modules.get('fc').parameters())\n",
        "weight_softmax = np.squeeze(weight_softmax_params[0].cpu().data.numpy())"
      ],
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YwmL3U6fP6le",
        "outputId": "9c7b81e5-2e1d-409d-87b4-f8d9890b86ba",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "weight_softmax_params"
      ],
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[Parameter containing:\n",
              " tensor([[-0.0185, -0.0705, -0.0518,  ..., -0.0390,  0.1735, -0.0410],\n",
              "         [-0.0818, -0.0944,  0.0174,  ...,  0.2028, -0.0248,  0.0372],\n",
              "         [-0.0332, -0.0566, -0.0242,  ..., -0.0344, -0.0227,  0.0197],\n",
              "         ...,\n",
              "         [-0.0103,  0.0033, -0.0359,  ..., -0.0279, -0.0115,  0.0128],\n",
              "         [-0.0359, -0.0353, -0.0296,  ..., -0.0330, -0.0110, -0.0513],\n",
              "         [ 0.0021, -0.0248, -0.0829,  ...,  0.0417, -0.0500,  0.0663]],\n",
              "        device='cuda:0', requires_grad=True), Parameter containing:\n",
              " tensor([-2.6341e-03,  3.0005e-03,  6.5581e-04, -2.6909e-02,  6.3637e-03,\n",
              "          1.3260e-02, -1.1178e-02,  2.0639e-02, -3.6373e-03, -1.2325e-02,\n",
              "         -1.2629e-02, -7.2057e-03, -1.9321e-02, -2.4960e-02, -1.1885e-02,\n",
              "         -8.3259e-03, -9.5745e-03, -1.6658e-02,  9.1804e-03, -1.5354e-02,\n",
              "          7.1358e-03,  3.0737e-02,  1.3239e-02, -7.7528e-03,  4.7448e-03,\n",
              "          1.1175e-02,  1.5949e-02, -1.6712e-02, -1.0130e-03, -3.7167e-03,\n",
              "          6.5269e-03, -1.2041e-02,  9.0427e-03, -8.3279e-04,  8.8647e-03,\n",
              "         -2.6307e-02, -1.4588e-02,  2.9433e-03,  2.9718e-03, -1.9125e-02,\n",
              "         -4.7922e-03,  1.3828e-02,  9.8802e-03, -1.8417e-02,  1.9734e-02,\n",
              "          1.6941e-03,  1.2420e-02, -5.5842e-03, -1.0612e-02,  3.9847e-04,\n",
              "          4.2733e-03, -1.3298e-02,  2.0661e-02,  1.6963e-02,  2.7952e-03,\n",
              "          7.4214e-04,  1.3168e-02,  3.2213e-03,  1.0458e-02,  1.6511e-02,\n",
              "          9.1717e-04,  3.9388e-03, -5.6534e-03,  1.9372e-02,  7.5238e-03,\n",
              "          1.3437e-02, -1.3185e-02, -1.0026e-02,  7.1920e-03, -2.3166e-03,\n",
              "         -1.8895e-02,  1.2519e-02,  1.9583e-03,  7.3836e-03, -9.6664e-03,\n",
              "          2.0189e-02,  7.6652e-03,  1.8529e-02,  1.5710e-02,  1.8582e-02,\n",
              "         -6.9314e-03,  1.7090e-02,  9.1268e-03, -3.8876e-02, -2.4116e-02,\n",
              "         -6.8715e-03, -1.1648e-02,  7.8817e-03,  1.8046e-03,  2.8480e-02,\n",
              "         -1.9379e-02, -1.6295e-02,  1.0468e-02, -1.3027e-02, -8.4211e-03,\n",
              "         -2.9210e-02, -2.4856e-03, -8.7141e-03, -1.6397e-02, -9.3054e-03,\n",
              "         -1.5931e-02, -2.6346e-02, -1.1091e-03,  2.2589e-02,  2.1387e-03,\n",
              "         -2.3212e-02, -1.4085e-02, -5.6224e-03, -2.0090e-02, -3.0284e-02,\n",
              "         -4.9574e-02,  2.3283e-02,  1.4954e-02, -7.7501e-03, -3.9482e-03,\n",
              "         -3.7629e-02, -2.4220e-02, -1.0194e-02, -7.7038e-03, -4.1312e-03,\n",
              "         -2.9553e-03, -6.2174e-03, -1.2076e-02, -7.0168e-03, -3.8948e-03,\n",
              "         -1.6953e-02, -2.4585e-02,  5.5353e-03, -8.3370e-03, -7.0759e-03,\n",
              "         -2.4023e-02, -6.3686e-03,  7.3420e-04,  5.2883e-03, -2.2181e-02,\n",
              "         -2.6972e-02, -1.7990e-02, -1.6393e-02,  2.1485e-03, -1.6122e-02,\n",
              "         -1.6112e-02,  6.5931e-03, -2.0045e-02,  6.4149e-03, -1.2601e-02,\n",
              "         -7.6238e-03,  1.1411e-02, -4.5084e-02, -9.2018e-03, -1.5563e-02,\n",
              "         -1.3590e-02, -1.4374e-03, -1.9466e-02,  2.0737e-02, -1.0476e-02,\n",
              "          6.3229e-03,  8.3229e-03, -1.0791e-02, -1.8903e-02,  5.8624e-03,\n",
              "         -2.0189e-03,  3.2436e-02,  4.0581e-02, -4.0820e-05,  1.0886e-02,\n",
              "         -1.6544e-02, -5.3365e-04, -2.2903e-02,  4.6295e-03, -4.8402e-03,\n",
              "          1.0187e-02,  1.7954e-02,  4.8211e-03,  6.1831e-03,  1.4419e-02,\n",
              "         -1.2094e-02, -8.7460e-03,  1.9488e-03,  1.4685e-02,  1.2464e-02,\n",
              "          7.0523e-03, -4.1783e-03,  1.2048e-02, -2.0199e-02,  9.9144e-03,\n",
              "          1.3978e-02, -1.0321e-03,  5.7394e-03,  1.4019e-03,  6.0113e-04,\n",
              "         -5.5790e-04,  2.4424e-02,  2.3076e-02, -1.4610e-02,  1.1185e-02,\n",
              "          3.4608e-02,  1.6944e-02,  4.3295e-03, -2.5606e-02,  1.2279e-02,\n",
              "         -2.5810e-02,  8.5365e-03,  2.0437e-02,  2.2557e-02,  2.2966e-02,\n",
              "          8.8420e-03, -1.3894e-02,  3.8719e-03, -9.3046e-03,  2.3220e-02,\n",
              "         -1.4949e-02,  6.9258e-03,  5.0070e-03, -1.7302e-02,  1.0364e-03,\n",
              "         -1.0223e-02, -9.6949e-03,  3.4534e-02,  6.1337e-03,  1.1582e-02,\n",
              "         -2.0529e-02, -2.1956e-02,  5.3109e-03,  3.4101e-02, -5.8079e-03,\n",
              "          2.9406e-02, -8.7954e-03, -5.2505e-03, -1.9088e-02,  3.0350e-02,\n",
              "          1.8445e-02, -2.1225e-02,  1.8432e-02,  1.3832e-02,  1.7848e-02,\n",
              "         -4.4762e-03,  3.5858e-02,  2.1762e-02,  1.0880e-02,  4.0255e-02,\n",
              "         -2.0049e-03, -3.0348e-03,  9.3293e-03, -1.6304e-02,  9.6253e-04,\n",
              "          1.8673e-02, -1.6567e-02,  1.4964e-02, -3.7206e-03, -7.6734e-03,\n",
              "         -7.9254e-06,  3.9732e-03, -9.5979e-03, -1.6833e-02,  5.8524e-05,\n",
              "         -6.4126e-03,  8.2977e-03,  4.8207e-03, -1.1467e-03,  4.8869e-03,\n",
              "          1.7349e-02,  3.9222e-03, -7.8080e-03,  1.6051e-02,  9.8802e-03,\n",
              "         -1.0144e-02,  2.0912e-02, -6.3203e-03, -2.3139e-02,  1.1646e-03,\n",
              "          2.2468e-02, -6.6953e-03,  1.8311e-02,  1.4623e-02, -1.1654e-02,\n",
              "         -1.4306e-02,  1.2974e-02, -9.6865e-03, -6.2351e-03,  1.3180e-02,\n",
              "          6.7543e-03,  4.6418e-02, -2.7962e-02, -1.5111e-02,  2.8716e-02,\n",
              "          9.1991e-03, -5.3710e-03, -6.0361e-03, -7.2140e-03, -9.2421e-03,\n",
              "          1.8536e-03, -3.1078e-03, -8.4004e-03, -1.6766e-02,  4.0936e-03,\n",
              "          6.2426e-03, -1.2470e-03, -1.2919e-02,  3.5819e-03,  1.1006e-02,\n",
              "         -1.3282e-02,  2.6395e-03,  8.9953e-03,  6.5421e-03, -1.2031e-02,\n",
              "          1.7149e-02,  1.7949e-02, -1.0581e-02, -2.6962e-02, -1.3564e-02,\n",
              "         -9.7173e-03, -2.1176e-03,  3.5370e-02,  1.8392e-02,  2.6676e-02,\n",
              "         -1.0594e-03, -3.3949e-03, -4.8838e-03,  1.3427e-02, -1.3948e-02,\n",
              "         -1.9559e-02, -2.3295e-02, -3.7834e-02, -1.4637e-02, -2.1323e-02,\n",
              "         -3.0952e-02, -3.0822e-02,  1.9438e-03,  2.8637e-03, -2.1198e-02,\n",
              "          1.0448e-02, -1.1316e-02, -4.2609e-03,  2.2647e-02, -1.2867e-02,\n",
              "         -1.1018e-02,  1.2336e-02, -2.0057e-02, -2.1837e-02, -6.8067e-03,\n",
              "         -1.0488e-02, -2.6298e-02, -9.9579e-03, -1.2966e-02, -2.4832e-03,\n",
              "         -7.0940e-03,  1.7997e-02, -6.4257e-03,  7.9069e-03, -1.2287e-02,\n",
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              "         -6.7029e-03, -7.0588e-03,  6.2745e-03, -1.8068e-02, -9.4855e-03,\n",
              "         -2.0856e-02,  8.9604e-03,  2.1294e-02,  1.7025e-02,  2.1015e-02,\n",
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              "         -7.5753e-03,  6.1182e-03, -2.0653e-02, -1.6264e-02,  2.6457e-02,\n",
              "         -1.4782e-02,  1.8654e-02,  2.5488e-02,  2.4106e-02,  4.7888e-03,\n",
              "          2.3329e-02,  3.5806e-04,  2.5154e-02,  1.7094e-02,  1.7803e-02,\n",
              "          2.4687e-02,  9.0085e-03,  2.3610e-03,  2.6088e-02, -1.4110e-02,\n",
              "         -5.4212e-04,  8.9498e-04,  2.1150e-02,  4.8484e-03, -3.0503e-02,\n",
              "         -7.5025e-03, -3.3718e-02, -2.8913e-02,  1.5691e-02,  6.2047e-03,\n",
              "         -1.0853e-02,  1.9524e-02, -1.6188e-02,  8.9890e-03,  9.1894e-03,\n",
              "         -2.8592e-03, -1.0911e-02,  1.0848e-02,  4.8784e-02, -1.9687e-03,\n",
              "          2.6843e-02, -4.8715e-03,  1.3489e-02, -1.4523e-02, -2.7585e-02,\n",
              "          6.1228e-03,  4.8171e-03,  2.1566e-03, -3.7561e-02,  3.0775e-02,\n",
              "          1.9977e-02,  1.8480e-02,  3.0368e-03,  9.3825e-03,  4.5243e-04,\n",
              "          6.1650e-02, -8.6416e-03, -2.6913e-02,  6.3527e-03,  7.7985e-03,\n",
              "          1.3180e-02, -1.6666e-03,  2.0865e-02,  9.9480e-03,  8.8136e-03,\n",
              "          1.4841e-02,  3.3211e-03,  3.6342e-03,  2.8740e-02, -2.2120e-02,\n",
              "         -7.1567e-03,  1.0352e-02,  1.6433e-02,  1.1683e-02, -5.8058e-03,\n",
              "         -6.9297e-04,  2.6578e-02,  8.7967e-03, -3.1689e-02,  1.8949e-02,\n",
              "         -8.5859e-03,  3.4228e-02, -1.5237e-02, -5.9709e-03,  1.1069e-03,\n",
              "         -1.8394e-02, -1.9246e-02, -3.6361e-02,  3.9839e-03,  4.1237e-02,\n",
              "          1.3816e-02, -7.3304e-03,  3.8832e-03,  2.4367e-03, -2.1625e-02,\n",
              "         -1.4523e-02, -1.6281e-04,  6.2566e-04, -1.6798e-02,  2.3083e-02,\n",
              "          9.7114e-03, -8.2207e-03,  1.1595e-03, -2.0983e-02, -6.6540e-03,\n",
              "         -1.4097e-02,  3.4067e-03, -7.7575e-03, -1.4738e-02, -2.1343e-02,\n",
              "          5.4123e-03,  3.9747e-03, -4.6185e-03, -1.5462e-02, -7.6229e-03,\n",
              "          1.2211e-02, -4.8453e-03, -8.8757e-03, -1.0275e-02,  7.3482e-03,\n",
              "         -6.0349e-03,  2.3658e-03,  2.1053e-02, -8.5688e-03, -1.1630e-02,\n",
              "         -2.7332e-02, -2.0648e-02,  4.4952e-03, -1.8649e-02, -1.1564e-02,\n",
              "          4.5905e-04, -6.1831e-03, -2.4435e-02, -7.1187e-03, -1.4394e-02,\n",
              "         -2.3544e-03,  2.1556e-02,  2.2924e-02, -1.3725e-02,  7.7785e-03,\n",
              "         -8.5513e-03,  2.4221e-02,  3.8192e-03,  7.0947e-04,  1.6114e-02,\n",
              "          2.5932e-02,  1.8108e-02,  2.9306e-02,  1.6773e-03, -3.0166e-03,\n",
              "          3.2015e-02, -1.4034e-02,  2.7365e-02, -1.8858e-02,  2.5832e-03,\n",
              "          1.3498e-02, -1.3502e-02, -1.4940e-02, -1.0904e-02,  1.8642e-02,\n",
              "          4.2593e-03, -1.6742e-02, -1.2638e-02, -4.5468e-02, -5.0823e-03,\n",
              "         -2.5093e-02,  6.7847e-03, -1.7868e-02, -7.8250e-04, -6.3448e-03],\n",
              "        device='cuda:0', requires_grad=True)]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UUhnuuyEP9Bl"
      },
      "source": [
        "class_idx = topk(pred_probabilities,1)[1].int()"
      ],
      "execution_count": 18,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "w5ikuBobP_GR"
      },
      "source": [
        "overlay = getCAM(activated_features.features, weight_softmax, class_idx )"
      ],
      "execution_count": 19,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nAE4C4b2QBB9",
        "outputId": "d87a8f0f-188e-431d-e0d5-0c8d5557482b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        }
      },
      "source": [
        "imshow(overlay[0], alpha=0.5, cmap='jet')"
      ],
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x7f7fc89baac8>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 20
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "aF4cLzv-QDp8",
        "outputId": "c862cef3-2539-4faa-bb62-4cbeed10d724",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 268
        }
      },
      "source": [
        "imshow(display_transform(image))\n",
        "imshow(skimage.transform.resize(overlay[0], tensor.shape[1:3]), alpha=0.5, cmap='jet');"
      ],
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6B5hUgi8QIxN"
      },
      "source": [
        "But wait, there's a bit more - we can also look at the model's second choice for Casper."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2CPS3edOQG-w"
      },
      "source": [
        "class_idx = topk(pred_probabilities,2)[1].int()"
      ],
      "execution_count": 22,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Jl-ymFq5QLcP",
        "outputId": "31e60030-c43a-416b-8dfe-66e8de63c436",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "class_idx"
      ],
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "tensor([283, 332], device='cuda:0', dtype=torch.int32)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4SJmSX4WQOTh"
      },
      "source": [
        "overlay = getCAM(activated_features.features, weight_softmax, 332 )"
      ],
      "execution_count": 24,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "AQw--rNhQRJ2",
        "outputId": "8792030b-25bb-4ff0-9023-30c241cb071f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 268
        }
      },
      "source": [
        "imshow(display_transform(image))\n",
        "imshow(skimage.transform.resize(overlay[0], tensor.shape[1:3]), alpha=0.5, cmap='jet');"
      ],
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "RGiBJSz6QTlF"
      },
      "source": [
        "\n",
        "Although the heatmap is similar, the network is focussing a touch more on his fluffy coat to suggest he might be class 332 - an Angora rabbit. And well, he is a Turkish Angora cat after all…"
      ]
    }
  ]
}