{ "cells": [ { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "3jlqJxFZ-vTq" }, "source": [ "### Author: [Pratik Sharma](https://github.com/sharmapratik88/)\n", "## Project 8 - Computer Vision - Face Detection\n", "In this hands-on project, the goal is to build a face detection model which includes building a face detector to locate the position of a face in an image.\n", "\n", "**Wider Face Dataset**\n", "\n", "Wider Face dataset is a face detection benchmark dataset, of which images are selected from the publicly available WIDER dataset. This data have 32,203 images and 393,703 faces are labeled with a high degree of variability in scale, pose and occlusion as depicted in the sample images.\n", "\n", "In this project, we are using 409 images and around 1000 faces for ease of computation.\n", "\n", "We will be using transfer learning on an already trained model to build our detector. We will perform transfer learning on Mobile Net model which is already trained to perform object detection. We will need to train the last 6-7 layers and freeze the remaining layers to train the model for face detection. To be able to train the Mobile Net model for face detection, we will be using WIDER FACE dataset which already has the bounding box data for various images with a single face and multiple faces. The output of the model is the bounding box data which gives the location of the face in an image. We learn to build a face detection model using Keras supported by Tensorflow.\n", "\n", "**Acknowledgement for the datasets**\n", "\n", "Acknowledgment for the datasets. http://mmlab.ie.cuhk.edu.hk/projects/WIDERFace/\n", "\n", "Mobile Net paper: https://arxiv.org/pdf/1704.04861.pdf\n", "\n", "**Objective of the project**\n", "\n", "In this problem, we use \"Transfer Learning\" of an Object Detector model to detect any object according to the problem in hand. Here, we are particularly interested in detecting faces in a given image." ] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "NgR0j5310qqC" }, "source": [ "## Face detection\n", "Task is to predict the boundaries(mask) around the face in a given image." ] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "Aa0jyJzw091I" }, "source": [ "## Dataset\n", "Faces in images marked with bounding boxes. Have around 500 images with around 1100 faces manually tagged via bounding box." ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 35 }, "colab_type": "code", "id": "sBWMoTJ9cf3Z", "outputId": "8e4ddb1d-524e-414f-aad4-c734d865ce9b" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n" ] } ], "source": [ "# Mounting Google Drive\n", "from google.colab import drive\n", "drive.mount('/content/drive')" ] }, { "cell_type": "code", "execution_count": 0, "metadata": { "colab": {}, "colab_type": "code", "id": "TddMnf4D1-59" }, "outputs": [], "source": [ "# Setting the current working directory\n", "import os; os.chdir('drive/My Drive/Great Learning/Computer Vision Project 1')" ] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "p46iOubhJpk0" }, "source": [ "### Import Packages" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 64 }, "colab_type": "code", "id": "lFAzg4vvJ50F", "outputId": "f6339ed1-291d-4575-9001-e2dd23e7550c" }, "outputs": [ { "data": { "text/html": [ "

\n", "The default version of TensorFlow in Colab will soon switch to TensorFlow 2.x.
\n", "We recommend you upgrade now \n", "or ensure your notebook will continue to use TensorFlow 1.x via the %tensorflow_version 1.x magic:\n", "more info.

\n" ], "text/plain": [ "" ] }, "metadata": { "tags": [] }, "output_type": "display_data" } ], "source": [ "# Imports\n", "import pandas as pd, numpy as np, matplotlib.pyplot as plt\n", "from matplotlib import pyplot\n", "%matplotlib inline\n", "\n", "# Create features and labels\n", "from tensorflow.keras.applications.mobilenet import preprocess_input\n", "import cv2\n", "\n", "# Model\n", "from tensorflow.keras.callbacks import ModelCheckpoint, EarlyStopping, ReduceLROnPlateau\n", "from tensorflow.keras.layers import Concatenate, UpSampling2D, Conv2D, Reshape, Activation, BatchNormalization, SpatialDropout2D\n", "from tensorflow.keras.applications.mobilenet import MobileNet\n", "from sklearn.model_selection import train_test_split\n", "from tensorflow.keras.optimizers import Adam\n", "from tensorflow.keras.models import Model\n", "import tensorflow as tf\n", "\n", "# to define loss\n", "from tensorflow.keras.losses import binary_crossentropy\n", "from tensorflow.keras.backend import log, epsilon" ] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "3srplE-FEpKa" }, "source": [ "### Load the 'images.npy' file\n", "- This file contains images with details of bounding boxes" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 35 }, "colab_type": "code", "id": "bCzzH19U-S8O", "outputId": "daf790dc-d469-4f66-f831-03d76c387a89" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "'08_Computer Vision_Face Detection.ipynb' images.npy\t model_1.45.h5\n" ] } ], "source": [ "!ls" ] }, { "cell_type": "code", "execution_count": 0, "metadata": { "colab": {}, "colab_type": "code", "id": "MqFE_tZDf0sM" }, "outputs": [], "source": [ "#Reference: https://stackoverflow.com/questions/55890813/how-to-fix-object-arrays-cannot-be-loaded-when-allow-pickle-false-for-imdb-loa\n", "np_load_old = np.load\n", "\n", "# modify the default parameters of np.load\n", "np.load = lambda *a,**k: np_load_old(*a, allow_pickle = True, **k)\n", "\n", "data = np.load('images.npy')" ] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "_SMP8zliFT7R" }, "source": [ "### Check one sample from the loaded file" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 422 }, "colab_type": "code", "id": "NoqNvPK-iXqG", "outputId": "9075a54e-e42b-44b1-ef10-f195188ebfcb" }, "outputs": [ { "data": { "image/png": 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P/4n/4z/874TiLVi9uSCOPf1uw6d/+IQUe46OjviXf/kX+VhU+fu//3v+x3/7O+rwN1QC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YnvEWGZTREnFdnoaTNGi0WCU2LFvAUlYjBFOdbyKushWFWM5GU2sdgqjIKVUnohZiGIkGPDQghY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\nFVPw2IRAIVst0DrwpkiNZMsxMaaM16IE4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oBzHlNHrs8bMaIJUYzeoId90Yd9M4G9P6D2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B0iuyEzZLipkXMRJCY0HRDvSOho5ZY0E9W8RBPmRzpzpRv/fygxHyPDU9Q5IaiUiJAws2GV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\nCvIGzXSqdCgdWG1ELiTUv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"text/plain": [ "
" ] }, "metadata": { "tags": [] }, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize = (15, 7.2))\n", "ax = fig.add_subplot(1, 1, 1)\n", "plt.axis('off')\n", "plt.imshow(data[10][0])\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "m94G4p3CE5Cj" }, "source": [ "### Set image dimensions\n", "- Initialize image height, image width with value: 224\n", "- Alpha: 1" ] }, { "cell_type": "code", "execution_count": 0, "metadata": { "colab": {}, "colab_type": "code", "id": "kuZmtOASevDo" }, "outputs": [], "source": [ "ALPHA = 1\n", "IMAGE_SIZE = 224\n", "IMAGE_HEIGHT = 224\n", "IMAGE_WIDTH = 224" ] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "wY6FEsCjG47s" }, "source": [ "### Create features and labels\n", "- Here feature is the image\n", "- The label is the mask\n", "- Images will be stored in 'X' array\n", "- Masks will be stored in 'masks' array" ] }, { "cell_type": "code", "execution_count": 0, "metadata": { "colab": {}, "colab_type": "code", "id": "XjCT9EVTgAvr" }, "outputs": [], "source": [ "masks = np.zeros((int(data.shape[0]), IMAGE_HEIGHT, IMAGE_WIDTH))\n", "X = np.zeros((int(data.shape[0]), IMAGE_HEIGHT, IMAGE_WIDTH, 3))\n", "for index in range(data.shape[0]):\n", " img = data[index][0]\n", " img = cv2.resize(img, dsize = (IMAGE_HEIGHT, IMAGE_WIDTH), interpolation = cv2.INTER_CUBIC)\n", " try:\n", " img = img[:, :, :3]\n", " except:\n", " continue\n", " X[index] = preprocess_input(np.array(img, dtype = np.float32))\n", " for i in data[index][1]:\n", " x1 = int(i['points'][0]['x'] * IMAGE_WIDTH)\n", " x2 = int(i['points'][1]['x'] * IMAGE_WIDTH)\n", " y1 = int(i['points'][0]['y'] * IMAGE_HEIGHT)\n", " y2 = int(i['points'][1]['y'] * IMAGE_HEIGHT)\n", " masks[index][y1:y2, x1:x2] = 1" ] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "N3AYbP79bFtJ" }, "source": [ "### Print the shape of X_train and mask array" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 35 }, "colab_type": "code", "id": "3PIRaEdWIjDa", "outputId": "bba413e2-2ebb-4f6c-e3e3-c0e77a53bc31" }, "outputs": [ { "data": { "text/plain": [ "(409, 224, 224, 3)" ] }, "execution_count": 9, "metadata": { "tags": [] }, "output_type": "execute_result" } ], "source": [ "X.shape" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 35 }, "colab_type": "code", "id": "Gw6uH5DxgI_r", "outputId": "5c03a943-9601-47e2-fcde-5027c341afc6" }, "outputs": [ { "data": { "text/plain": [ "(409, 224, 224)" ] }, "execution_count": 10, "metadata": { "tags": [] }, "output_type": "execute_result" } ], "source": [ "masks.shape" ] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "R4wgkWq1bk5F" }, "source": [ "### Print a sample image and image array" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 440 }, "colab_type": "code", "id": "qfRZjQufj0N9", "outputId": "067475d8-15f8-4dd9-91c4-71ca4b35294a" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n" ] }, { "data": { "image/png": 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I1fte0/osVl15BJMrFZtPxSsB+6lUugoqFUIIIZlBpUJIFzL6uNjtI8DwOvkY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\nWYbNrjabnQ12qUvjgo0KGXNzDQDZGpUDsMNf2rjoYUatDbs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" ] }, "metadata": { "tags": [] }, "output_type": "display_data" } ], "source": [ "n = 10\n", "fig = plt.figure(figsize = (15, 7.2))\n", "ax = fig.add_subplot(1, 1, 1)\n", "plt.axis('off')\n", "_ = plt.imshow(X[n])" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 422 }, "colab_type": "code", "id": "983gGKcwlSe8", "outputId": "df89d57b-8324-4cc8-d80b-91b8d9c1130d" }, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZUAAAGVCAYAAAA2W2w7AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nJQAAAABJRU5ErkJggg==\n", "text/plain": [ "
" ] }, "metadata": { "tags": [] }, "output_type": "display_data" } ], "source": [ "n = 10\n", "fig = plt.figure(figsize = (15, 7.2))\n", "ax = fig.add_subplot(1, 1, 1)\n", "plt.axis('off')\n", "_ = plt.imshow(masks[n])" ] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "Z0Qa1UOue9TE" }, "source": [ "## Create the model\n", "- Add MobileNet as model with below parameter values\n", " - input_shape: IMAGE_HEIGHT, IMAGE_WIDTH, 3\n", " - include_top: False\n", " - alpha: 1.0\n", " - weights: 'imagenet'\n", "- Add UNET architecture layers" ] }, { "cell_type": "code", "execution_count": 0, "metadata": { "colab": {}, "colab_type": "code", "id": "BTVYOvANrUVx" }, "outputs": [], "source": [ "def conv_block_simple(prevlayer, filters, prefix, strides=(1, 1)):\n", " conv = Conv2D(filters, (3, 3), padding = 'same', kernel_initializer = 'he_normal', strides = strides, name = prefix + '_conv')(prevlayer)\n", " conv = BatchNormalization(name = prefix + 'BatchNormalization')(conv)\n", " conv = Activation('relu', name = prefix + 'ActivationLayer')(conv)\n", " return conv\n", "\n", "def create_model(trainable = True):\n", " model = MobileNet(input_shape = (IMAGE_HEIGHT, IMAGE_WIDTH, 3), include_top = False, alpha = ALPHA, weights = 'imagenet')\n", " for layer in model.layers:\n", " layer.trainable = trainable\n", " \n", " block1 = model.get_layer('conv_pw_13_relu').output\n", " block2 = model.get_layer('conv_pw_11_relu').output\n", " block3 = model.get_layer('conv_pw_5_relu').output\n", " block4 = model.get_layer('conv_pw_3_relu').output\n", " block5 = model.get_layer('conv_pw_1_relu').output\n", " \n", " up1 = Concatenate()([UpSampling2D()(block1), block2])\n", " conv6 = conv_block_simple(up1, 256, 'Conv_6_1')\n", " conv6 = conv_block_simple(conv6, 256, 'Conv_6_2')\n", "\n", " up2 = Concatenate()([UpSampling2D()(conv6), block3])\n", " conv7 = conv_block_simple(up2, 256, 'Conv_7_1')\n", " conv7 = conv_block_simple(conv7, 256, 'Conv_7_2')\n", "\n", " up3 = Concatenate()([UpSampling2D()(conv7), block4])\n", " conv8 = conv_block_simple(up3, 192, 'Conv_8_1')\n", " conv8 = conv_block_simple(conv8, 128, 'Conv_8_2')\n", "\n", " up4 = Concatenate()([UpSampling2D()(conv8), block5])\n", " conv9 = conv_block_simple(up4, 96, 'Conv_9_1')\n", " conv9 = conv_block_simple(conv9, 64, 'Conv_9_2')\n", "\n", " up5 = Concatenate()([UpSampling2D()(conv9), model.input])\n", " conv10 = conv_block_simple(up5, 48, 'Conv_10_1')\n", " conv10 = conv_block_simple(conv10, 32, 'Conv_10_2')\n", " conv10 = SpatialDropout2D(0.2)(conv10)\n", " \n", " x = Conv2D(1, (1, 1), activation = 'sigmoid')(conv10)\n", " x = Reshape((IMAGE_SIZE, IMAGE_SIZE))(x)\n", " return Model(inputs = model.input, outputs = x)" ] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "_snZ9o0ZBAiv" }, "source": [ "### Call the create_model function" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 1000 }, "colab_type": "code", "id": "9TfSSP51uPoO", "outputId": "baed75a0-388e-4a01-91ba-93957d2015a7" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/resource_variable_ops.py:1630: calling BaseResourceVariable.__init__ (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version.\n", "Instructions for updating:\n", "If using Keras pass *_constraint arguments to layers.\n", "Model: \"model\"\n", "__________________________________________________________________________________________________\n", "Layer (type) Output Shape Param # Connected to \n", "==================================================================================================\n", "input_1 (InputLayer) [(None, 224, 224, 3) 0 \n", "__________________________________________________________________________________________________\n", "conv1_pad (ZeroPadding2D) (None, 225, 225, 3) 0 input_1[0][0] \n", "__________________________________________________________________________________________________\n", "conv1 (Conv2D) (None, 112, 112, 32) 864 conv1_pad[0][0] \n", "__________________________________________________________________________________________________\n", "conv1_bn (BatchNormalization) (None, 112, 112, 32) 128 conv1[0][0] \n", "__________________________________________________________________________________________________\n", "conv1_relu (ReLU) (None, 112, 112, 32) 0 conv1_bn[0][0] \n", "__________________________________________________________________________________________________\n", "conv_dw_1 (DepthwiseConv2D) (None, 112, 112, 32) 288 conv1_relu[0][0] \n", "__________________________________________________________________________________________________\n", "conv_dw_1_bn (BatchNormalizatio (None, 112, 112, 32) 128 conv_dw_1[0][0] \n", "__________________________________________________________________________________________________\n", "conv_dw_1_relu (ReLU) (None, 112, 112, 32) 0 conv_dw_1_bn[0][0] \n", "__________________________________________________________________________________________________\n", "conv_pw_1 (Conv2D) (None, 112, 112, 64) 2048 conv_dw_1_relu[0][0] \n", "__________________________________________________________________________________________________\n", "conv_pw_1_bn (BatchNormalizatio (None, 112, 112, 64) 256 conv_pw_1[0][0] \n", "__________________________________________________________________________________________________\n", "conv_pw_1_relu (ReLU) (None, 112, 112, 64) 0 conv_pw_1_bn[0][0] \n", "__________________________________________________________________________________________________\n", "conv_pad_2 (ZeroPadding2D) (None, 113, 113, 64) 0 conv_pw_1_relu[0][0] \n", "__________________________________________________________________________________________________\n", "conv_dw_2 (DepthwiseConv2D) (None, 56, 56, 64) 576 conv_pad_2[0][0] \n", "__________________________________________________________________________________________________\n", "conv_dw_2_bn (BatchNormalizatio (None, 56, 56, 64) 256 conv_dw_2[0][0] \n", "__________________________________________________________________________________________________\n", "conv_dw_2_relu (ReLU) (None, 56, 56, 64) 0 conv_dw_2_bn[0][0] \n", "__________________________________________________________________________________________________\n", "conv_pw_2 (Conv2D) (None, 56, 56, 128) 8192 conv_dw_2_relu[0][0] \n", "__________________________________________________________________________________________________\n", "conv_pw_2_bn (BatchNormalizatio (None, 56, 56, 128) 512 conv_pw_2[0][0] \n", "__________________________________________________________________________________________________\n", "conv_pw_2_relu (ReLU) (None, 56, 56, 128) 0 conv_pw_2_bn[0][0] \n", "__________________________________________________________________________________________________\n", "conv_dw_3 (DepthwiseConv2D) (None, 56, 56, 128) 1152 conv_pw_2_relu[0][0] \n", "__________________________________________________________________________________________________\n", "conv_dw_3_bn (BatchNormalizatio (None, 56, 56, 128) 512 conv_dw_3[0][0] \n", "__________________________________________________________________________________________________\n", "conv_dw_3_relu (ReLU) (None, 56, 56, 128) 0 conv_dw_3_bn[0][0] \n", "__________________________________________________________________________________________________\n", "conv_pw_3 (Conv2D) (None, 56, 56, 128) 16384 conv_dw_3_relu[0][0] \n", "__________________________________________________________________________________________________\n", "conv_pw_3_bn (BatchNormalizatio (None, 56, 56, 128) 512 conv_pw_3[0][0] \n", "__________________________________________________________________________________________________\n", "conv_pw_3_relu (ReLU) (None, 56, 56, 128) 0 conv_pw_3_bn[0][0] \n", "__________________________________________________________________________________________________\n", "conv_pad_4 (ZeroPadding2D) (None, 57, 57, 128) 0 conv_pw_3_relu[0][0] \n", "__________________________________________________________________________________________________\n", "conv_dw_4 (DepthwiseConv2D) (None, 28, 28, 128) 1152 conv_pad_4[0][0] \n", "__________________________________________________________________________________________________\n", "conv_dw_4_bn (BatchNormalizatio (None, 28, 28, 128) 512 conv_dw_4[0][0] \n", "__________________________________________________________________________________________________\n", "conv_dw_4_relu (ReLU) (None, 28, 28, 128) 0 conv_dw_4_bn[0][0] \n", "__________________________________________________________________________________________________\n", "conv_pw_4 (Conv2D) (None, 28, 28, 256) 32768 conv_dw_4_relu[0][0] \n", "__________________________________________________________________________________________________\n", "conv_pw_4_bn (BatchNormalizatio (None, 28, 28, 256) 1024 conv_pw_4[0][0] \n", "__________________________________________________________________________________________________\n", "conv_pw_4_relu (ReLU) (None, 28, 28, 256) 0 conv_pw_4_bn[0][0] \n", "__________________________________________________________________________________________________\n", "conv_dw_5 (DepthwiseConv2D) (None, 28, 28, 256) 2304 conv_pw_4_relu[0][0] \n", "__________________________________________________________________________________________________\n", "conv_dw_5_bn (BatchNormalizatio (None, 28, 28, 256) 1024 conv_dw_5[0][0] \n", "__________________________________________________________________________________________________\n", "conv_dw_5_relu (ReLU) (None, 28, 28, 256) 0 conv_dw_5_bn[0][0] \n", "__________________________________________________________________________________________________\n", "conv_pw_5 (Conv2D) (None, 28, 28, 256) 65536 conv_dw_5_relu[0][0] \n", "__________________________________________________________________________________________________\n", "conv_pw_5_bn (BatchNormalizatio (None, 28, 28, 256) 1024 conv_pw_5[0][0] \n", "__________________________________________________________________________________________________\n", "conv_pw_5_relu (ReLU) (None, 28, 28, 256) 0 conv_pw_5_bn[0][0] \n", "__________________________________________________________________________________________________\n", "conv_pad_6 (ZeroPadding2D) (None, 29, 29, 256) 0 conv_pw_5_relu[0][0] \n", "__________________________________________________________________________________________________\n", "conv_dw_6 (DepthwiseConv2D) (None, 14, 14, 256) 2304 conv_pad_6[0][0] \n", "__________________________________________________________________________________________________\n", "conv_dw_6_bn (BatchNormalizatio (None, 14, 14, 256) 1024 conv_dw_6[0][0] \n", "__________________________________________________________________________________________________\n", "conv_dw_6_relu (ReLU) (None, 14, 14, 256) 0 conv_dw_6_bn[0][0] \n", "__________________________________________________________________________________________________\n", "conv_pw_6 (Conv2D) (None, 14, 14, 512) 131072 conv_dw_6_relu[0][0] \n", "__________________________________________________________________________________________________\n", "conv_pw_6_bn (BatchNormalizatio (None, 14, 14, 512) 2048 conv_pw_6[0][0] \n", "__________________________________________________________________________________________________\n", "conv_pw_6_relu (ReLU) (None, 14, 14, 512) 0 conv_pw_6_bn[0][0] \n", "__________________________________________________________________________________________________\n", "conv_dw_7 (DepthwiseConv2D) (None, 14, 14, 512) 4608 conv_pw_6_relu[0][0] \n", "__________________________________________________________________________________________________\n", "conv_dw_7_bn (BatchNormalizatio (None, 14, 14, 512) 2048 conv_dw_7[0][0] \n", "__________________________________________________________________________________________________\n", "conv_dw_7_relu (ReLU) (None, 14, 14, 512) 0 conv_dw_7_bn[0][0] \n", "__________________________________________________________________________________________________\n", "conv_pw_7 (Conv2D) (None, 14, 14, 512) 262144 conv_dw_7_relu[0][0] \n", "__________________________________________________________________________________________________\n", "conv_pw_7_bn (BatchNormalizatio (None, 14, 14, 512) 2048 conv_pw_7[0][0] \n", "__________________________________________________________________________________________________\n", "conv_pw_7_relu (ReLU) (None, 14, 14, 512) 0 conv_pw_7_bn[0][0] \n", "__________________________________________________________________________________________________\n", "conv_dw_8 (DepthwiseConv2D) (None, 14, 14, 512) 4608 conv_pw_7_relu[0][0] \n", "__________________________________________________________________________________________________\n", "conv_dw_8_bn (BatchNormalizatio (None, 14, 14, 512) 2048 conv_dw_8[0][0] \n", "__________________________________________________________________________________________________\n", "conv_dw_8_relu (ReLU) (None, 14, 14, 512) 0 conv_dw_8_bn[0][0] \n", "__________________________________________________________________________________________________\n", "conv_pw_8 (Conv2D) (None, 14, 14, 512) 262144 conv_dw_8_relu[0][0] \n", "__________________________________________________________________________________________________\n", "conv_pw_8_bn (BatchNormalizatio (None, 14, 14, 512) 2048 conv_pw_8[0][0] \n", "__________________________________________________________________________________________________\n", "conv_pw_8_relu (ReLU) (None, 14, 14, 512) 0 conv_pw_8_bn[0][0] \n", "__________________________________________________________________________________________________\n", "conv_dw_9 (DepthwiseConv2D) (None, 14, 14, 512) 4608 conv_pw_8_relu[0][0] \n", "__________________________________________________________________________________________________\n", "conv_dw_9_bn (BatchNormalizatio (None, 14, 14, 512) 2048 conv_dw_9[0][0] \n", "__________________________________________________________________________________________________\n", "conv_dw_9_relu (ReLU) (None, 14, 14, 512) 0 conv_dw_9_bn[0][0] \n", "__________________________________________________________________________________________________\n", "conv_pw_9 (Conv2D) (None, 14, 14, 512) 262144 conv_dw_9_relu[0][0] \n", "__________________________________________________________________________________________________\n", "conv_pw_9_bn (BatchNormalizatio (None, 14, 14, 512) 2048 conv_pw_9[0][0] \n", "__________________________________________________________________________________________________\n", "conv_pw_9_relu (ReLU) (None, 14, 14, 512) 0 conv_pw_9_bn[0][0] \n", "__________________________________________________________________________________________________\n", "conv_dw_10 (DepthwiseConv2D) (None, 14, 14, 512) 4608 conv_pw_9_relu[0][0] \n", "__________________________________________________________________________________________________\n", "conv_dw_10_bn (BatchNormalizati (None, 14, 14, 512) 2048 conv_dw_10[0][0] \n", "__________________________________________________________________________________________________\n", "conv_dw_10_relu (ReLU) (None, 14, 14, 512) 0 conv_dw_10_bn[0][0] \n", "__________________________________________________________________________________________________\n", "conv_pw_10 (Conv2D) (None, 14, 14, 512) 262144 conv_dw_10_relu[0][0] \n", "__________________________________________________________________________________________________\n", "conv_pw_10_bn (BatchNormalizati (None, 14, 14, 512) 2048 conv_pw_10[0][0] \n", "__________________________________________________________________________________________________\n", "conv_pw_10_relu (ReLU) (None, 14, 14, 512) 0 conv_pw_10_bn[0][0] \n", "__________________________________________________________________________________________________\n", "conv_dw_11 (DepthwiseConv2D) (None, 14, 14, 512) 4608 conv_pw_10_relu[0][0] \n", "__________________________________________________________________________________________________\n", "conv_dw_11_bn (BatchNormalizati (None, 14, 14, 512) 2048 conv_dw_11[0][0] \n", "__________________________________________________________________________________________________\n", "conv_dw_11_relu (ReLU) (None, 14, 14, 512) 0 conv_dw_11_bn[0][0] \n", "__________________________________________________________________________________________________\n", "conv_pw_11 (Conv2D) (None, 14, 14, 512) 262144 conv_dw_11_relu[0][0] \n", "__________________________________________________________________________________________________\n", "conv_pw_11_bn (BatchNormalizati (None, 14, 14, 512) 2048 conv_pw_11[0][0] \n", "__________________________________________________________________________________________________\n", "conv_pw_11_relu (ReLU) (None, 14, 14, 512) 0 conv_pw_11_bn[0][0] \n", "__________________________________________________________________________________________________\n", "conv_pad_12 (ZeroPadding2D) (None, 15, 15, 512) 0 conv_pw_11_relu[0][0] \n", "__________________________________________________________________________________________________\n", "conv_dw_12 (DepthwiseConv2D) (None, 7, 7, 512) 4608 conv_pad_12[0][0] \n", "__________________________________________________________________________________________________\n", "conv_dw_12_bn (BatchNormalizati (None, 7, 7, 512) 2048 conv_dw_12[0][0] \n", "__________________________________________________________________________________________________\n", "conv_dw_12_relu (ReLU) (None, 7, 7, 512) 0 conv_dw_12_bn[0][0] \n", "__________________________________________________________________________________________________\n", "conv_pw_12 (Conv2D) (None, 7, 7, 1024) 524288 conv_dw_12_relu[0][0] \n", "__________________________________________________________________________________________________\n", "conv_pw_12_bn (BatchNormalizati (None, 7, 7, 1024) 4096 conv_pw_12[0][0] \n", "__________________________________________________________________________________________________\n", "conv_pw_12_relu (ReLU) (None, 7, 7, 1024) 0 conv_pw_12_bn[0][0] \n", "__________________________________________________________________________________________________\n", "conv_dw_13 (DepthwiseConv2D) (None, 7, 7, 1024) 9216 conv_pw_12_relu[0][0] \n", "__________________________________________________________________________________________________\n", "conv_dw_13_bn (BatchNormalizati (None, 7, 7, 1024) 4096 conv_dw_13[0][0] \n", "__________________________________________________________________________________________________\n", "conv_dw_13_relu (ReLU) (None, 7, 7, 1024) 0 conv_dw_13_bn[0][0] \n", "__________________________________________________________________________________________________\n", "conv_pw_13 (Conv2D) (None, 7, 7, 1024) 1048576 conv_dw_13_relu[0][0] \n", "__________________________________________________________________________________________________\n", "conv_pw_13_bn (BatchNormalizati (None, 7, 7, 1024) 4096 conv_pw_13[0][0] \n", "__________________________________________________________________________________________________\n", "conv_pw_13_relu (ReLU) (None, 7, 7, 1024) 0 conv_pw_13_bn[0][0] \n", "__________________________________________________________________________________________________\n", "up_sampling2d (UpSampling2D) (None, 14, 14, 1024) 0 conv_pw_13_relu[0][0] \n", "__________________________________________________________________________________________________\n", "concatenate (Concatenate) (None, 14, 14, 1536) 0 up_sampling2d[0][0] \n", " conv_pw_11_relu[0][0] \n", "__________________________________________________________________________________________________\n", "Conv_6_1_conv (Conv2D) (None, 14, 14, 256) 3539200 concatenate[0][0] \n", "__________________________________________________________________________________________________\n", "Conv_6_1BatchNormalization (Bat (None, 14, 14, 256) 1024 Conv_6_1_conv[0][0] \n", "__________________________________________________________________________________________________\n", "Conv_6_1ActivationLayer (Activa (None, 14, 14, 256) 0 Conv_6_1BatchNormalization[0][0] \n", "__________________________________________________________________________________________________\n", "Conv_6_2_conv (Conv2D) (None, 14, 14, 256) 590080 Conv_6_1ActivationLayer[0][0] \n", "__________________________________________________________________________________________________\n", "Conv_6_2BatchNormalization (Bat (None, 14, 14, 256) 1024 Conv_6_2_conv[0][0] \n", "__________________________________________________________________________________________________\n", "Conv_6_2ActivationLayer (Activa (None, 14, 14, 256) 0 Conv_6_2BatchNormalization[0][0] \n", "__________________________________________________________________________________________________\n", "up_sampling2d_1 (UpSampling2D) (None, 28, 28, 256) 0 Conv_6_2ActivationLayer[0][0] \n", "__________________________________________________________________________________________________\n", "concatenate_1 (Concatenate) (None, 28, 28, 512) 0 up_sampling2d_1[0][0] \n", " conv_pw_5_relu[0][0] \n", "__________________________________________________________________________________________________\n", "Conv_7_1_conv (Conv2D) (None, 28, 28, 256) 1179904 concatenate_1[0][0] \n", "__________________________________________________________________________________________________\n", "Conv_7_1BatchNormalization (Bat (None, 28, 28, 256) 1024 Conv_7_1_conv[0][0] \n", "__________________________________________________________________________________________________\n", "Conv_7_1ActivationLayer (Activa (None, 28, 28, 256) 0 Conv_7_1BatchNormalization[0][0] \n", "__________________________________________________________________________________________________\n", "Conv_7_2_conv (Conv2D) (None, 28, 28, 256) 590080 Conv_7_1ActivationLayer[0][0] \n", "__________________________________________________________________________________________________\n", "Conv_7_2BatchNormalization (Bat (None, 28, 28, 256) 1024 Conv_7_2_conv[0][0] \n", "__________________________________________________________________________________________________\n", "Conv_7_2ActivationLayer (Activa (None, 28, 28, 256) 0 Conv_7_2BatchNormalization[0][0] \n", "__________________________________________________________________________________________________\n", "up_sampling2d_2 (UpSampling2D) (None, 56, 56, 256) 0 Conv_7_2ActivationLayer[0][0] \n", "__________________________________________________________________________________________________\n", "concatenate_2 (Concatenate) (None, 56, 56, 384) 0 up_sampling2d_2[0][0] \n", " conv_pw_3_relu[0][0] \n", "__________________________________________________________________________________________________\n", "Conv_8_1_conv (Conv2D) (None, 56, 56, 192) 663744 concatenate_2[0][0] \n", "__________________________________________________________________________________________________\n", "Conv_8_1BatchNormalization (Bat (None, 56, 56, 192) 768 Conv_8_1_conv[0][0] \n", "__________________________________________________________________________________________________\n", "Conv_8_1ActivationLayer (Activa (None, 56, 56, 192) 0 Conv_8_1BatchNormalization[0][0] \n", "__________________________________________________________________________________________________\n", "Conv_8_2_conv (Conv2D) (None, 56, 56, 128) 221312 Conv_8_1ActivationLayer[0][0] \n", "__________________________________________________________________________________________________\n", "Conv_8_2BatchNormalization (Bat (None, 56, 56, 128) 512 Conv_8_2_conv[0][0] \n", "__________________________________________________________________________________________________\n", "Conv_8_2ActivationLayer (Activa (None, 56, 56, 128) 0 Conv_8_2BatchNormalization[0][0] \n", "__________________________________________________________________________________________________\n", "up_sampling2d_3 (UpSampling2D) (None, 112, 112, 128 0 Conv_8_2ActivationLayer[0][0] \n", "__________________________________________________________________________________________________\n", "concatenate_3 (Concatenate) (None, 112, 112, 192 0 up_sampling2d_3[0][0] \n", " conv_pw_1_relu[0][0] \n", "__________________________________________________________________________________________________\n", "Conv_9_1_conv (Conv2D) (None, 112, 112, 96) 165984 concatenate_3[0][0] \n", "__________________________________________________________________________________________________\n", "Conv_9_1BatchNormalization (Bat (None, 112, 112, 96) 384 Conv_9_1_conv[0][0] \n", "__________________________________________________________________________________________________\n", "Conv_9_1ActivationLayer (Activa (None, 112, 112, 96) 0 Conv_9_1BatchNormalization[0][0] \n", "__________________________________________________________________________________________________\n", "Conv_9_2_conv (Conv2D) (None, 112, 112, 64) 55360 Conv_9_1ActivationLayer[0][0] \n", "__________________________________________________________________________________________________\n", "Conv_9_2BatchNormalization (Bat (None, 112, 112, 64) 256 Conv_9_2_conv[0][0] \n", "__________________________________________________________________________________________________\n", "Conv_9_2ActivationLayer (Activa (None, 112, 112, 64) 0 Conv_9_2BatchNormalization[0][0] \n", "__________________________________________________________________________________________________\n", "up_sampling2d_4 (UpSampling2D) (None, 224, 224, 64) 0 Conv_9_2ActivationLayer[0][0] \n", "__________________________________________________________________________________________________\n", "concatenate_4 (Concatenate) (None, 224, 224, 67) 0 up_sampling2d_4[0][0] \n", " input_1[0][0] \n", "__________________________________________________________________________________________________\n", "Conv_10_1_conv (Conv2D) (None, 224, 224, 48) 28992 concatenate_4[0][0] \n", "__________________________________________________________________________________________________\n", "Conv_10_1BatchNormalization (Ba (None, 224, 224, 48) 192 Conv_10_1_conv[0][0] \n", "__________________________________________________________________________________________________\n", "Conv_10_1ActivationLayer (Activ (None, 224, 224, 48) 0 Conv_10_1BatchNormalization[0][0]\n", "__________________________________________________________________________________________________\n", "Conv_10_2_conv (Conv2D) (None, 224, 224, 32) 13856 Conv_10_1ActivationLayer[0][0] \n", "__________________________________________________________________________________________________\n", "Conv_10_2BatchNormalization (Ba (None, 224, 224, 32) 128 Conv_10_2_conv[0][0] \n", "__________________________________________________________________________________________________\n", "Conv_10_2ActivationLayer (Activ (None, 224, 224, 32) 0 Conv_10_2BatchNormalization[0][0]\n", "__________________________________________________________________________________________________\n", "spatial_dropout2d (SpatialDropo (None, 224, 224, 32) 0 Conv_10_2ActivationLayer[0][0] \n", "__________________________________________________________________________________________________\n", "conv2d (Conv2D) (None, 224, 224, 1) 33 spatial_dropout2d[0][0] \n", "__________________________________________________________________________________________________\n", "reshape (Reshape) (None, 224, 224) 0 conv2d[0][0] \n", "==================================================================================================\n", "Total params: 10,283,745\n", "Trainable params: 10,258,689\n", "Non-trainable params: 25,056\n", "__________________________________________________________________________________________________\n" ] } ], "source": [ "model = create_model(True)\n", "model.summary()" ] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "2spcE4TvfEZw" }, "source": [ "### Define dice coefficient function\n", "- Create a function to calculate dice coefficient\n" ] }, { "cell_type": "code", "execution_count": 0, "metadata": { "colab": {}, "colab_type": "code", "id": "8H8aViXZuWz1" }, "outputs": [], "source": [ "def dice_coefficient(y_true, y_pred):\n", " numerator = 2 * tf.reduce_sum(y_true * y_pred)\n", " denominator = tf.reduce_sum(y_true + y_pred)\n", "\n", " return numerator / (denominator + tf.keras.backend.epsilon())" ] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "Nkp5SDM1fIu2" }, "source": [ "### Define loss" ] }, { "cell_type": "code", "execution_count": 0, "metadata": { "colab": {}, "colab_type": "code", "id": "FEOVfs19KVLv" }, "outputs": [], "source": [ "def loss(y_true, y_pred):\n", " return binary_crossentropy(y_true, y_pred) - log(dice_coefficient(y_true, y_pred) + epsilon())" ] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "Thltv_akfOMS" }, "source": [ "### Compile the model\n", "- Complie the model using below parameters\n", " - loss: use the loss function defined above\n", " - optimizers: use Adam optimizer\n", " - metrics: use dice_coefficient function defined above" ] }, { "cell_type": "code", "execution_count": 0, "metadata": { "colab": {}, "colab_type": "code", "id": "4_VnSrfa-S-Q" }, "outputs": [], "source": [ "adam = Adam(lr = 1e-4, beta_1 = 0.9, beta_2 = 0.999, epsilon = None, decay = 0.0, amsgrad = False)\n", "model.compile(loss = loss, optimizer = adam, metrics = [dice_coefficient])" ] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "VTumZyg0fuVy" }, "source": [ "### Define checkpoint and earlystopping" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 35 }, "colab_type": "code", "id": "QNlQHt8DMy7h", "outputId": "c90f2c5f-f087-472e-fe89-6ac181f071d5" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "WARNING:tensorflow:`period` argument is deprecated. Please use `save_freq` to specify the frequency in number of samples seen.\n" ] } ], "source": [ "checkpoint = ModelCheckpoint('model_{loss:.2f}.h5', monitor = 'loss', verbose = 1, save_best_only = True, save_weights_only = True, mode = 'min', period = 1)\n", "stop = EarlyStopping(monitor = 'loss', patience = 5, mode = 'min')\n", "reduce_lr = ReduceLROnPlateau(monitor = 'loss', factor = 0.2, patience = 5, min_lr = 1e-6, verbose = 1, mode = 'min')" ] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "LxxbwvXEf07e" }, "source": [ "### Fit the model\n", "- Fit the model using below parameters\n", " - epochs: you can decide\n", " - batch_size: 1\n", " - callbacks: checkpoint, reduce_lr, stop" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 35 }, "colab_type": "code", "id": "NMsnJ5GHPxmo", "outputId": "c89132c3-f1bc-420a-926a-14bbe7dd45b3" }, "outputs": [ { "data": { "text/plain": [ "((347, 224, 224, 3), (62, 224, 224, 3), (347, 224, 224), (62, 224, 224))" ] }, "execution_count": 19, "metadata": { "tags": [] }, "output_type": "execute_result" } ], "source": [ "X_train, X_valid, y_train, y_valid = train_test_split(X, masks, test_size = 0.15, random_state = 2019, shuffle = False)\n", "X_train.shape, X_valid.shape, y_train.shape, y_valid.shape" ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 1000 }, "colab_type": "code", "id": "g-BVOZG4-S-l", "outputId": "26b143a3-22cd-4547-c90f-38892c90e1ee" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/math_grad.py:1424: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.\n", "Instructions for updating:\n", "Use tf.where in 2.0, which has the same broadcast rule as np.where\n", "Train on 347 samples, validate on 62 samples\n", "Epoch 1/30\n", "346/347 [============================>.] - ETA: 0s - loss: 1.4227 - dice_coefficient: 0.4146\n", "Epoch 00001: loss improved from inf to 1.42042, saving model to model_1.42.h5\n", "347/347 [==============================] - 50s 143ms/sample - loss: 1.4204 - dice_coefficient: 0.4154 - val_loss: 1.2301 - val_dice_coefficient: 0.4663\n", "Epoch 2/30\n", "346/347 [============================>.] - ETA: 0s - loss: 0.9990 - dice_coefficient: 0.5275\n", "Epoch 00002: loss improved from 1.42042 to 0.99820, saving model to model_1.00.h5\n", "347/347 [==============================] - 36s 103ms/sample - loss: 0.9982 - dice_coefficient: 0.5277 - val_loss: 1.0558 - val_dice_coefficient: 0.4946\n", "Epoch 3/30\n", "346/347 [============================>.] - ETA: 0s - loss: 0.7713 - dice_coefficient: 0.6082\n", "Epoch 00003: loss improved from 0.99820 to 0.77224, saving model to model_0.77.h5\n", "347/347 [==============================] - 36s 104ms/sample - loss: 0.7722 - dice_coefficient: 0.6076 - val_loss: 0.9375 - val_dice_coefficient: 0.5343\n", "Epoch 4/30\n", "346/347 [============================>.] - ETA: 0s - loss: 0.6462 - dice_coefficient: 0.6598\n", "Epoch 00004: loss improved from 0.77224 to 0.64609, saving model to model_0.65.h5\n", "347/347 [==============================] - 36s 104ms/sample - loss: 0.6461 - dice_coefficient: 0.6596 - val_loss: 0.8729 - val_dice_coefficient: 0.5476\n", "Epoch 5/30\n", "346/347 [============================>.] - ETA: 0s - loss: 0.5229 - dice_coefficient: 0.7146\n", "Epoch 00005: loss improved from 0.64609 to 0.52299, saving model to model_0.52.h5\n", "347/347 [==============================] - 36s 104ms/sample - loss: 0.5230 - dice_coefficient: 0.7142 - val_loss: 1.0925 - val_dice_coefficient: 0.4922\n", "Epoch 6/30\n", "346/347 [============================>.] - ETA: 0s - loss: 0.4624 - dice_coefficient: 0.7450\n", "Epoch 00006: loss improved from 0.52299 to 0.46156, saving model to model_0.46.h5\n", "347/347 [==============================] - 36s 104ms/sample - loss: 0.4616 - dice_coefficient: 0.7454 - val_loss: 0.9269 - val_dice_coefficient: 0.5560\n", "Epoch 7/30\n", "346/347 [============================>.] - ETA: 0s - loss: 0.3878 - dice_coefficient: 0.7815\n", "Epoch 00007: loss improved from 0.46156 to 0.38700, saving model to model_0.39.h5\n", "347/347 [==============================] - 36s 104ms/sample - loss: 0.3870 - dice_coefficient: 0.7819 - val_loss: 0.8531 - val_dice_coefficient: 0.5754\n", "Epoch 8/30\n", "346/347 [============================>.] - ETA: 0s - loss: 0.3445 - dice_coefficient: 0.8079\n", "Epoch 00008: loss improved from 0.38700 to 0.34439, saving model to model_0.34.h5\n", "347/347 [==============================] - 36s 104ms/sample - loss: 0.3444 - dice_coefficient: 0.8081 - val_loss: 0.9617 - val_dice_coefficient: 0.5548\n", "Epoch 9/30\n", "346/347 [============================>.] - ETA: 0s - loss: 0.3009 - dice_coefficient: 0.8326\n", "Epoch 00009: loss improved from 0.34439 to 0.30138, saving model to model_0.30.h5\n", "347/347 [==============================] - 36s 103ms/sample - loss: 0.3014 - dice_coefficient: 0.8321 - val_loss: 0.8845 - val_dice_coefficient: 0.5864\n", "Epoch 10/30\n", "346/347 [============================>.] - ETA: 0s - loss: 0.2709 - dice_coefficient: 0.8494\n", "Epoch 00010: loss improved from 0.30138 to 0.27063, saving model to model_0.27.h5\n", "347/347 [==============================] - 36s 104ms/sample - loss: 0.2706 - dice_coefficient: 0.8494 - val_loss: 0.8476 - val_dice_coefficient: 0.5897\n", "Epoch 11/30\n", "346/347 [============================>.] - ETA: 0s - loss: 0.2447 - dice_coefficient: 0.8661\n", "Epoch 00011: loss improved from 0.27063 to 0.24431, saving model to model_0.24.h5\n", "347/347 [==============================] - 36s 104ms/sample - loss: 0.2443 - dice_coefficient: 0.8663 - val_loss: 0.8330 - val_dice_coefficient: 0.6007\n", "Epoch 12/30\n", "346/347 [============================>.] - ETA: 0s - loss: 0.2286 - dice_coefficient: 0.8766\n", "Epoch 00012: loss improved from 0.24431 to 0.22864, saving model to model_0.23.h5\n", "347/347 [==============================] - 36s 104ms/sample - loss: 0.2286 - dice_coefficient: 0.8766 - val_loss: 1.1201 - val_dice_coefficient: 0.5112\n", "Epoch 13/30\n", "346/347 [============================>.] - ETA: 0s - loss: 0.2226 - dice_coefficient: 0.8814\n", "Epoch 00013: loss improved from 0.22864 to 0.22223, saving model to model_0.22.h5\n", "347/347 [==============================] - 36s 103ms/sample - loss: 0.2222 - dice_coefficient: 0.8816 - val_loss: 0.8651 - val_dice_coefficient: 0.5966\n", "Epoch 14/30\n", "346/347 [============================>.] - ETA: 0s - loss: 0.1924 - dice_coefficient: 0.8987\n", "Epoch 00014: loss improved from 0.22223 to 0.19210, saving model to model_0.19.h5\n", "347/347 [==============================] - 36s 103ms/sample - loss: 0.1921 - dice_coefficient: 0.8987 - val_loss: 1.0170 - val_dice_coefficient: 0.5570\n", "Epoch 15/30\n", "346/347 [============================>.] - ETA: 0s - loss: 0.1773 - dice_coefficient: 0.9083\n", "Epoch 00015: loss improved from 0.19210 to 0.17705, saving model to model_0.18.h5\n", "347/347 [==============================] - 36s 103ms/sample - loss: 0.1770 - dice_coefficient: 0.9084 - val_loss: 0.9733 - val_dice_coefficient: 0.5764\n", "Epoch 16/30\n", "346/347 [============================>.] - ETA: 0s - loss: 0.1688 - dice_coefficient: 0.9145\n", "Epoch 00016: loss improved from 0.17705 to 0.16861, saving model to model_0.17.h5\n", "347/347 [==============================] - 36s 103ms/sample - loss: 0.1686 - dice_coefficient: 0.9146 - val_loss: 0.9024 - val_dice_coefficient: 0.6044\n", "Epoch 17/30\n", "346/347 [============================>.] - ETA: 0s - loss: 0.1627 - dice_coefficient: 0.9183\n", "Epoch 00017: loss improved from 0.16861 to 0.16269, saving model to model_0.16.h5\n", "347/347 [==============================] - 36s 103ms/sample - loss: 0.1627 - dice_coefficient: 0.9183 - val_loss: 1.0748 - val_dice_coefficient: 0.5745\n", "Epoch 18/30\n", "346/347 [============================>.] - ETA: 0s - loss: 0.1529 - dice_coefficient: 0.9251\n", "Epoch 00018: loss improved from 0.16269 to 0.15280, saving model to model_0.15.h5\n", "347/347 [==============================] - 36s 104ms/sample - loss: 0.1528 - dice_coefficient: 0.9251 - val_loss: 0.9182 - val_dice_coefficient: 0.6069\n", "Epoch 19/30\n", "346/347 [============================>.] - ETA: 0s - loss: 0.1478 - dice_coefficient: 0.9290\n", "Epoch 00019: loss improved from 0.15280 to 0.14760, saving model to model_0.15.h5\n", "347/347 [==============================] - 37s 106ms/sample - loss: 0.1476 - dice_coefficient: 0.9291 - val_loss: 0.9509 - val_dice_coefficient: 0.5937\n", "Epoch 20/30\n", "346/347 [============================>.] - ETA: 0s - loss: 0.1438 - dice_coefficient: 0.9318\n", "Epoch 00020: loss improved from 0.14760 to 0.14351, saving model to model_0.14.h5\n", "347/347 [==============================] - 36s 104ms/sample - loss: 0.1435 - dice_coefficient: 0.9320 - val_loss: 1.1096 - val_dice_coefficient: 0.5464\n", "Epoch 21/30\n", "346/347 [============================>.] - ETA: 0s - loss: 0.1469 - dice_coefficient: 0.9314\n", "Epoch 00021: loss did not improve from 0.14351\n", "347/347 [==============================] - 36s 103ms/sample - loss: 0.1467 - dice_coefficient: 0.9314 - val_loss: 1.0146 - val_dice_coefficient: 0.5963\n", "Epoch 22/30\n", "346/347 [============================>.] - ETA: 0s - loss: 0.1546 - dice_coefficient: 0.9277\n", "Epoch 00022: loss did not improve from 0.14351\n", "347/347 [==============================] - 36s 103ms/sample - loss: 0.1543 - dice_coefficient: 0.9277 - val_loss: 1.8896 - val_dice_coefficient: 0.4636\n", "Epoch 23/30\n", "346/347 [============================>.] - ETA: 0s - loss: 0.1376 - dice_coefficient: 0.9370\n", "Epoch 00023: loss improved from 0.14351 to 0.13752, saving model to model_0.14.h5\n", "347/347 [==============================] - 37s 106ms/sample - loss: 0.1375 - dice_coefficient: 0.9370 - val_loss: 1.2246 - val_dice_coefficient: 0.5704\n", "Epoch 24/30\n", "346/347 [============================>.] - ETA: 0s - loss: 0.1272 - dice_coefficient: 0.9429\n", "Epoch 00024: loss improved from 0.13752 to 0.12716, saving model to model_0.13.h5\n", "347/347 [==============================] - 36s 104ms/sample - loss: 0.1272 - dice_coefficient: 0.9430 - val_loss: 1.1509 - val_dice_coefficient: 0.5773\n", "Epoch 25/30\n", "346/347 [============================>.] - ETA: 0s - loss: 0.1179 - dice_coefficient: 0.9488\n", "Epoch 00025: loss improved from 0.12716 to 0.11772, saving model to model_0.12.h5\n", "347/347 [==============================] - 36s 104ms/sample - loss: 0.1177 - dice_coefficient: 0.9488 - val_loss: 1.0385 - val_dice_coefficient: 0.5940\n", "Epoch 26/30\n", "346/347 [============================>.] - ETA: 0s - loss: 0.1127 - dice_coefficient: 0.9525\n", "Epoch 00026: loss improved from 0.11772 to 0.11242, saving model to model_0.11.h5\n", "347/347 [==============================] - 36s 104ms/sample - loss: 0.1124 - dice_coefficient: 0.9526 - val_loss: 1.0285 - val_dice_coefficient: 0.6008\n", "Epoch 27/30\n", "346/347 [============================>.] - ETA: 0s - loss: 0.1123 - dice_coefficient: 0.9521\n", "Epoch 00027: loss improved from 0.11242 to 0.11222, saving model to model_0.11.h5\n", "347/347 [==============================] - 37s 106ms/sample - loss: 0.1122 - dice_coefficient: 0.9521 - val_loss: 1.1334 - val_dice_coefficient: 0.5895\n", "Epoch 28/30\n", "346/347 [============================>.] - ETA: 0s - loss: 0.1112 - dice_coefficient: 0.9533\n", "Epoch 00028: loss improved from 0.11222 to 0.11099, saving model to model_0.11.h5\n", "347/347 [==============================] - 37s 106ms/sample - loss: 0.1110 - dice_coefficient: 0.9533 - val_loss: 1.1478 - val_dice_coefficient: 0.5753\n", "Epoch 29/30\n", "346/347 [============================>.] - ETA: 0s - loss: 0.1074 - dice_coefficient: 0.9558\n", "Epoch 00029: loss improved from 0.11099 to 0.10720, saving model to model_0.11.h5\n", "347/347 [==============================] - 37s 106ms/sample - loss: 0.1072 - dice_coefficient: 0.9559 - val_loss: 1.0682 - val_dice_coefficient: 0.5926\n", "Epoch 30/30\n", "346/347 [============================>.] - ETA: 0s - loss: 0.1110 - dice_coefficient: 0.9549\n", "Epoch 00030: loss did not improve from 0.10720\n", "347/347 [==============================] - 36s 103ms/sample - loss: 0.1108 - dice_coefficient: 0.9550 - val_loss: 1.1523 - val_dice_coefficient: 0.5694\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 20, "metadata": { "tags": [] }, "output_type": "execute_result" } ], "source": [ "model.fit(X_train, y_train, epochs = 30, batch_size = 1, callbacks = [checkpoint, reduce_lr, stop], validation_data = (X_valid, y_valid))" ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 52 }, "colab_type": "code", "id": "VINjHXrVr1ca", "outputId": "768744f5-8575-43f8-c81b-ebd62d87404d" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "62/62 [==============================] - 8s 128ms/sample - loss: 0.9379 - dice_coefficient: 0.6261\n" ] }, { "data": { "text/plain": [ "[0.9378836558711144, 0.6260623]" ] }, "execution_count": 21, "metadata": { "tags": [] }, "output_type": "execute_result" } ], "source": [ "model.evaluate(X_valid, y_valid, verbose = 1)" ] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "5VtnuzlOf4uL" }, "source": [ "### Get the predicted mask for a sample image" ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 35 }, "colab_type": "code", "id": "-jgkjRpAxUQh", "outputId": "bfa520af-d733-4099-9210-8d10de6d40e8" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "62/62 [==============================] - 2s 29ms/sample\n" ] } ], "source": [ "# Load previous model weight\n", "WEIGHTS_FILE = \"model_0.11.h5\"\n", "learned_model = create_model()\n", "learned_model.load_weights(WEIGHTS_FILE)\n", "y_pred = learned_model.predict(X_valid, verbose = 1)" ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 458 }, "colab_type": "code", "id": "v4LTpWITB9lB", "outputId": "237046b4-2d5a-40be-f432-5e9591ae4a49" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 23, "metadata": { "tags": [] }, "output_type": "execute_result" }, { "data": { "image/png": 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zj1I4puLg4ODgMG9wTMXBwQGY3VelrrVNzj5Jang9smPXfsvHvVPUos9mIZ8X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N4BRJEEJP1ImEfYbhrrVRViX3LtfxzX93/6h0TQqqoO2Gp0WoQVXRF9LHTPHP4sHh/QmMUmALO8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\nyogKAGVEBYAyogJAGVEBoIyoAFDmT5AKcEat7TaeAAAAAElFTkSuQmCC\n", "text/plain": [ "
" ] }, "metadata": { "tags": [] }, "output_type": "display_data" } ], "source": [ "# For a sample image\n", "n = 16\n", "image = cv2.resize(X_valid[n], dsize = (IMAGE_HEIGHT, IMAGE_WIDTH), interpolation = cv2.INTER_CUBIC)\n", "pred_mask = cv2.resize(1.0*(y_pred[n] > 0.1), (IMAGE_WIDTH, IMAGE_HEIGHT))\n", "\n", "image2 = image\n", "image2[:,:,0] = pred_mask*image[:,:,0]\n", "image2[:,:,1] = pred_mask*image[:,:,1]\n", "image2[:,:,2] = pred_mask*image[:,:,2]\n", "out_image = image2\n", "\n", "fig = plt.figure(figsize = (15, 7.2))\n", "ax = fig.add_subplot(1, 1, 1)\n", "plt.axis('off')\n", "plt.imshow(out_image)" ] }, { "cell_type": "code", "execution_count": 24, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 440 }, "colab_type": "code", "id": "FwWXN0H-GzsR", "outputId": "106ab7a5-1681-4d2e-cd45-fe18dd021658" }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 24, "metadata": { "tags": [] }, "output_type": "execute_result" }, { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": { "tags": [] }, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize = (15, 7.2))\n", "ax = fig.add_subplot(1, 1, 1)\n", "plt.axis('off')\n", "plt.imshow(pred_mask, alpha = 1)" ] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "fDIetz0HgA4R" }, "source": [ "### Impose the mask on the image" ] }, { "cell_type": "code", "execution_count": 25, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 440 }, "colab_type": "code", "id": "97QvYudANVN4", "outputId": "7d712643-4895-4018-974c-3e9d3c424cfc" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n" ] }, { "data": { "image/png": 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ysu90SxI3qLCnwTOXVmdFnudFgb7QerGaXtMBYxWaqx8LtdV272ta9B029olLRL3CIf13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y6Z5RU57rm+AiFWVZmqbhRFxlLQe6kmmKYp/JakGY3HD0+0syhMuRY0+Hs3MUt/ebnKqSVH1ab7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\nSjaVv37fO1bQCkhSBqTn3uiGJ5iY707ezW28Sezg49Spj6qNXrKmWZfB7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rGsELVOxnJdfh7FdBq3txzS8Gy+LnwaxcNJavQmt+n3FWokWQXa6gu69SJR7nkiCf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\nH2UMpsanEC/zYUXnCAc265xF3ay2kuM4/cq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" ] }, "metadata": { "tags": [] }, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize = (15, 7.2))\n", "ax = fig.add_subplot(1, 1, 1)\n", "plt.axis('off')\n", "plt.imshow(X_valid[n])\n", "plt.savefig('image.jpg', bbox_inches = 'tight', pad_inches = 0)" ] }, { "cell_type": "code", "execution_count": 26, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 422 }, "colab_type": "code", "id": "15AtidKQTpoR", "outputId": "68364b61-f635-4d39-e3f5-0419abf8de9b" }, "outputs": [ { "data": { "image/png": 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tk16Oe5iYFB2z/CFFYVWnyeeRrcbXem2USqTcOjYHAGiPteGNUFTTaIGO5Tp0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\nAABJRU5ErkJggg==\n", "text/plain": [ "
" ] }, "metadata": { "tags": [] }, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize = (15, 7.2))\n", "ax = fig.add_subplot(1, 1, 1)\n", "plt.axis('off')\n", "plt.imshow(y_pred[n], alpha = 0.8)\n", "plt.savefig('mask.jpg', bbox_inches = 'tight', pad_inches = 0)" ] }, { "cell_type": "code", "execution_count": 27, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 408 }, "colab_type": "code", "id": "B9mfNy26KAr5", "outputId": "075ef043-c5dc-43e2-9d85-37ff35e4dabc" }, "outputs": [ { "data": { "image/png": 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Ubg7Z1EvJQZtJG6W4kdX28KCqDqgVy8UREReD7B6aZmJmfd9XQbSmadykT13OHoISVNxT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\nrUwi2YTZ6K6r9mgZQ6Fa768newa7sDHyBRXOQYI7xnjqo5AG7uVOGlp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sQiomDZNtiZ9I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SFBUSNQ5S81e6UjZ5vORdzqdNfgynHWWmbDzEvIBt8ySA7UpbLe4BjvNP/tTqxFzx4AB+Sy9z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\nO2BAlrrF7gxxp5UWnpxEaa5oPosurUWLRoVaEvsNg8mh2nGmmEgyvBpJlm4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KzGCtZPcO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otzgEEBssKdt2YT1ycfALWRj0A4jlApm5fbuF9NayaKPhY4HG5eGBqAwOTOBzMBIpMRQ6Eg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\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ukj7sauxQFaG4kWWtF+RVJJiLg4XMfWjFsXrjthEDMQBwVQ/Uj16JOvcIbwBbIQLIHIKI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\n6u5wJghBAITcGzF22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"text/plain": [ "" ] }, "metadata": { "tags": [] }, "output_type": "display_data" } ], "source": [ "from google.colab.patches import cv2_imshow\n", "img = cv2.imread('image.jpg', 1)\n", "mask = cv2.imread('mask.jpg', 1)\n", "img = cv2.add(img, mask)\n", "cv2_imshow(img)" ] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "CptwSXs01PQN" }, "source": [ "### Conclusion\n", "Project was all about how we can make use of a pretrained MobileNet (Transfer Learning) and on top of it add all the UNET layers to train, fit and evaluate model with an objective to predict the boundaries(mask) around the face in a given image.\n", "* Model was complied using binary cross entropy as loss, adam optimizer and dice coefficient as metrics.\n", "* Model checkpoint, early stopping and learning rate reducers were used as callbacks.\n", "* Data was split into train and validation using 85/15 ratio. Best loss I got is 0.10 and dice coeff of 0.95 on the training data.\n", "* Model weights for this were used and then used to predict on validation data to get mask.\n", "* Further checked on sample image and imposed mask on the image.\n", "* As seen in the above images, it can be seen that model does a very good job in predicting the masks." ] } ], "metadata": { "accelerator": "GPU", "colab": { "collapsed_sections": [], "name": "08_Computer Vision_Face Detection_v1.ipynb", "provenance": [] }, "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.6" } }, "nbformat": 4, "nbformat_minor": 1 }