{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "fcn_segmentation_model.ipynb",
      "version": "0.3.2",
      "provenance": [],
      "collapsed_sections": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/gmihaila/machine_learning_toolbox/blob/master/fcn_segmentation_model.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "metadata": {
        "id": "FUNHkEALy9R4",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "### Fully Convolutional Networks for Semantic Segmentation\n",
        "\n",
        "[Original Paper](https://people.eecs.berkeley.edu/~jonlong/long_shelhamer_fcn.pdf)\n",
        "\n",
        "http://deeplearning.net/tutorial/fcn_2D_segm.html \n",
        "\n",
        "Deconvolution:\n",
        "https://keras.rstudio.com/reference/layer_conv_2d_transpose.html\n",
        "https://keras.io/layers/convolutional/#conv2dtranspose "
      ]
    },
    {
      "metadata": {
        "id": "5UlSFq7hKl-a",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 107
        },
        "outputId": "cf9b9cb1-116b-4a67-9328-03f9ab64dc4f"
      },
      "cell_type": "code",
      "source": [
        "# used to clean console\n",
        "from IPython.display import clear_output\n",
        "\n",
        "# example link: https://drive.google.com/open?id=1mq4pg5Ch1Ypc5Dl5FtuZJkASBCqUojEj\n",
        "\n",
        "print(\"Install pydot\")\n",
        "!apt-get -qq install -y graphviz && pip install -q pydot\n",
        "clear_output()\n",
        "\n",
        "print(\"Downloading gdown.pl...\")\n",
        "!wget https://raw.githubusercontent.com/pavanjadhaw/gdown.pl/master/gdown.pl && chmod u+x gdown.pl\n",
        "clear_output()\n",
        "\n",
        "print(\"Downloading google drive file...\")\n",
        "!./gdown.pl \"https://drive.google.com/file/d/0B_60jvsCt1hhZWNfcW4wbHE5N3M/view\" data.zip\n",
        "clear_output()\n",
        "\n",
        "print(\"Unzip...\")\n",
        "!unzip data.zip\n",
        "clear_output()\n",
        "\n",
        "print(\"Done!\")\n",
        "!ls"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Done!\n",
            "all\t\t\t      data.zip\t  gdown.pl.3\t      sample_data\n",
            "All\t\t\t      gdown.pl\t  labeled_imaged.csv\n",
            "all_dominos_image+labels.zip  gdown.pl.1  polyps_split7\n",
            "all.zip\t\t\t      gdown.pl.2  polyps_split7.zip\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "RZU-D6srLNXi",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "import os, sys\n",
        "import numpy as np\n",
        "from IPython.display import Image\n",
        "from skimage.io import imread, imshow\n",
        "from skimage.transform import resize\n",
        "from skimage import exposure\n",
        "\n",
        "from keras.layers import Input, Dense, Conv2D, Flatten, MaxPooling2D, UpSampling2D, Conv2DTranspose\n",
        "from keras.models import Model\n",
        "from keras.utils.vis_utils import plot_model\n",
        "import cv2\n",
        "\n",
        "\n",
        "im_w, im_h = 228, 228\n",
        "\n",
        "\n",
        "path_train = \"./polyps_split7/train\"\n",
        "path_valid = \"./polyps_split7/valid\"\n",
        "path_test  = \"./polyps_split7/test\"\n",
        "\n",
        "# TRAIN\n",
        "images_train = [path_train+\"/images/\"+im for im in os.listdir(\"%s/images\"%path_train)]\n",
        "mask2_train  = [path_train+\"/masks2/\"+im for im in os.listdir(\"%s/masks2\"%path_train)]\n",
        "mask3_train  = [path_train+\"/masks3/\"+im for im in os.listdir(\"%s/masks3\"%path_train)]\n",
        "mask4_train  = [path_train+\"/masks4/\"+im for im in os.listdir(\"%s/masks4\"%path_train)]\n",
        "\n",
        "# VALIDATION\n",
        "images_valid = [path_valid+\"/images/\"+im for im in os.listdir(\"%s/images\"%path_valid)]\n",
        "mask2_valid  = [path_valid+\"/masks2/\"+im for im in os.listdir(\"%s/masks2\"%path_valid)]\n",
        "mask3_valid  = [path_valid+\"/masks3/\"+im for im in os.listdir(\"%s/masks3\"%path_valid)]\n",
        "mask4_valid  = [path_valid+\"/masks4/\"+im for im in os.listdir(\"%s/masks4\"%path_valid)]\n",
        "\n",
        "# TEST\n",
        "images_test = [path_test+\"/images/\"+im for im in os.listdir(\"%s/images\"%path_test)]\n",
        "mask2_test  = [path_test+\"/masks2/\"+im for im in os.listdir(\"%s/masks2\"%path_test)]\n",
        "mask3_test  = [path_test+\"/masks3/\"+im for im in os.listdir(\"%s/masks3\"%path_test)]\n",
        "mask4_test  = [path_test+\"/masks4/\"+im for im in os.listdir(\"%s/masks4\"%path_test)]\n",
        "\n",
        "\n",
        "c = []\n",
        "a = imread(\"polyps_split7/train/images/CVC-612_612.bmp\")\n",
        "c.append(a)\n",
        "b = imread(\"polyps_split7/train/images/CVC-300_001.bmp\")\n",
        "c.append(b)\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "W4UXFXC9MxT_",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 511
        },
        "outputId": "333a87f2-652c-4711-bc06-a1b043e2ab89"
      },
      "cell_type": "code",
      "source": [
        "# test show image\n",
        "imshow(imread(mask4_test[-1]))"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/skimage/io/_plugins/matplotlib_plugin.py:51: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n",
            "  out_of_range_float = (np.issubdtype(image.dtype, np.float) and\n",
            "/usr/local/lib/python3.6/dist-packages/skimage/io/_plugins/matplotlib_plugin.py:74: UserWarning: Low image data range; displaying image with stretched contrast.\n",
            "  warn(\"Low image data range; displaying image with \"\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x7f7a1ef0cc18>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 3
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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enq7a2lqLuwsAAEzX4wWxgU5W4HT2eGu+jI8lSQlZp3raDVfY2xzt6wxcjxNh7EaOOQyv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\ntLEAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<matplotlib.figure.Figure at 0x7f7a37d356d8>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "metadata": {
        "id": "hJkPSYo_anR3",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "def get_data(images, mask1, mask2, mask3, im_h, im_w):\n",
        "  X, y1, y2, y3 = [], [], [], []\n",
        "  [X.append(resize(imread(im),(im_h, im_w))) for im in images]\n",
        "  X = np.array(X)\n",
        "  [y1.append(resize(imread(im),(im_h, im_w))) for im in mask1]\n",
        "  \n",
        "  y1 = [y.reshape(im_h, im_w, 1) for y in y1]\n",
        "  y1 = np.array(y1)\n",
        "  [y2.append(resize(imread(im),(im_h, im_w))) for im in mask2]\n",
        "  \n",
        "  y2 = [y.reshape(im_h, im_w, 1) for y in y2]\n",
        "  y2 = np.array(y2)\n",
        "  [y3.append(resize(imread(im),(im_h, im_w))) for im in mask3]\n",
        "  \n",
        "  y3 = [y.reshape(im_h, im_w, 1) for y in y3]\n",
        "  y3 = np.array(y3)\n",
        "  \n",
        "  return X, y1, y2, y3"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "UELBq39iRDkJ",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 71
        },
        "outputId": "2cbbf5f6-5575-4ce1-f2b0-fb820c4e97ce"
      },
      "cell_type": "code",
      "source": [
        "X_tr, y1_tr, y2_tr, y3_tr = get_data(images_train, mask2_train, mask3_train, mask4_train, im_h, im_w)\n",
        "\n",
        "X_vl, y1_vl, y2_vl, y3_vl = get_data(images_valid, mask2_valid, mask3_valid, mask4_valid, im_h, im_w)\n",
        "\n",
        "# test\n",
        "print(X_tr.shape, y1_tr.shape)"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/skimage/transform/_warps.py:84: UserWarning: The default mode, 'constant', will be changed to 'reflect' in skimage 0.15.\n",
            "  warn(\"The default mode, 'constant', will be changed to 'reflect' in \"\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "(547, 228, 228, 3) (547, 228, 228, 1)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "F6B88dOVTQuh",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 485
        },
        "outputId": "3b4c6755-9837-4bc8-d064-13bc654d7553"
      },
      "cell_type": "code",
      "source": [
        "# build model\n",
        "model_input = Input(shape=(im_h, im_w,3), name='INPUT')\n",
        "\n",
        "model_layer = Conv2D(filters=32, kernel_size=3, activation='relu', padding='same', name='Conv1')(model_input)\n",
        "model_layer = MaxPooling2D(pool_size=(2, 2), name='Pool1')(model_layer)\n",
        "\n",
        "model_layer = Conv2D(filters=64, kernel_size=3, activation='relu', padding='same', name='Conv2')(model_layer)\n",
        "model_layer = MaxPooling2D(pool_size=(2, 2), name='Pool2')(model_layer)\n",
        "\n",
        "model_layer = Conv2DTranspose(filters=32, kernel_size=3, activation='relu', padding='same', name='Conv3')(model_layer)\n",
        "model_layer = UpSampling2D(size=(2, 2), name='unPool3')(model_layer)\n",
        "\n",
        "model_layer = Conv2DTranspose(filters=1, kernel_size=3, activation='relu', padding='same', name='Conv4')(model_layer)\n",
        "model_output = UpSampling2D(size=(2, 2), name='unPool4')(model_layer)\n",
        "\n",
        "model = Model([model_input], model_output)\n",
        "\n",
        "# compile model\n",
        "model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])\n",
        "\n",
        "# check model\n",
        "print(model.summary())"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "_________________________________________________________________\n",
            "Layer (type)                 Output Shape              Param #   \n",
            "=================================================================\n",
            "INPUT (InputLayer)           (None, 228, 228, 3)       0         \n",
            "_________________________________________________________________\n",
            "Conv1 (Conv2D)               (None, 228, 228, 32)      896       \n",
            "_________________________________________________________________\n",
            "Pool1 (MaxPooling2D)         (None, 114, 114, 32)      0         \n",
            "_________________________________________________________________\n",
            "Conv2 (Conv2D)               (None, 114, 114, 64)      18496     \n",
            "_________________________________________________________________\n",
            "Pool2 (MaxPooling2D)         (None, 57, 57, 64)        0         \n",
            "_________________________________________________________________\n",
            "Conv3 (Conv2DTranspose)      (None, 57, 57, 32)        18464     \n",
            "_________________________________________________________________\n",
            "unPool3 (UpSampling2D)       (None, 114, 114, 32)      0         \n",
            "_________________________________________________________________\n",
            "Conv4 (Conv2DTranspose)      (None, 114, 114, 1)       289       \n",
            "_________________________________________________________________\n",
            "unPool4 (UpSampling2D)       (None, 228, 228, 1)       0         \n",
            "=================================================================\n",
            "Total params: 38,145\n",
            "Trainable params: 38,145\n",
            "Non-trainable params: 0\n",
            "_________________________________________________________________\n",
            "None\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "GNSuGnKxuPp-",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 976
        },
        "outputId": "f425e208-5b16-4269-a3c1-0f88a16eb273"
      },
      "cell_type": "code",
      "source": [
        "# image model\n",
        "plot_model(model, to_file='model.png', show_shapes=True, show_layer_names=True)\n",
        "Image('model.png')"
      ],
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "image/png": 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Pjh07pnUjY7uSkhJ4eXlh2LBheuVs0cxxy/2D8CNtzBrBAsd+j4+Pp169epk7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\n",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        }
      ]
    },
    {
      "metadata": {
        "id": "PQO6kVzChcwP",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 89
        },
        "outputId": "edaa9d63-4e20-412d-db3f-5470684a098c"
      },
      "cell_type": "code",
      "source": [
        "model.fit(X_tr,y1_tr, epochs=1, batch_size=10, validation_split=0.1)"
      ],
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Train on 492 samples, validate on 55 samples\n",
            "Epoch 1/1\n",
            "492/492 [==============================] - 63s 129ms/step - loss: 0.0215 - acc: 0.6508 - val_loss: 0.0168 - val_acc: 0.6609\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<keras.callbacks.History at 0x7f7a1a7aff28>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 19
        }
      ]
    },
    {
      "metadata": {
        "id": "g3hZW64OYI3k",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "y_pred = model.predict(X_vl[0:15])\n",
        "y_pred = [y.reshape(im_h, im_w) for y in y_pred]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "TIb18JsRr4A1",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 511
        },
        "outputId": "757830b6-4510-49c6-811f-d476eac1b367"
      },
      "cell_type": "code",
      "source": [
        "imshow(y_pred[0])\n"
      ],
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/skimage/io/_plugins/matplotlib_plugin.py:51: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n",
            "  out_of_range_float = (np.issubdtype(image.dtype, np.float) and\n",
            "/usr/local/lib/python3.6/dist-packages/skimage/io/_plugins/matplotlib_plugin.py:74: UserWarning: Low image data range; displaying image with stretched contrast.\n",
            "  warn(\"Low image data range; displaying image with \"\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x7f7a1728a3c8>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 27
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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ysU9WsRwY6uH9N/tZrlScjkdlRdtWgq0qkm7aMU61d/vWS51u4UomSK7rl3rl8o9B6qxi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Jo5R8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\noigZy/8H9Vx4jJDIFd8AAAAASUVORK5CYII=\n",
            "text/plain": [
              "<matplotlib.figure.Figure at 0x7f7a17e0c668>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "metadata": {
        "id": "MSo-KcNk_X9S",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 475
        },
        "outputId": "20eac4a8-2ba7-42a2-d27f-dff7950b4130"
      },
      "cell_type": "code",
      "source": [
        "imshow(X_vl[0])"
      ],
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/skimage/io/_plugins/matplotlib_plugin.py:51: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n",
            "  out_of_range_float = (np.issubdtype(image.dtype, np.float) and\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x7f7a172af780>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 25
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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t0nVaLaSdrA/UkBeC11wvPBdE3r2scI50xbZaD0tpvr330PTs3ulEUqGMCgoK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\ngg==\n",
            "text/plain": [
              "<matplotlib.figure.Figure at 0x7f7a1bca7940>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    }
  ]
}