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{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "dWyPGNkCGhIX"
},
"source": [
"# Part I : Create Your Own Dataset and Train it with ConvNets\n",
"\n",
"In this part of the notebook, you will set up your own dataset for image classification. Please specify \n",
"under `queries` the image categories you are interested in. Under `limit` specify the number of images \n",
"you want to download for each image category. \n",
"\n",
"You do not need to understand the class `simple_image_download`, just execute the cell after you have specified \n",
"the download folder.\n"
]
},
{
"cell_type": "code",
"metadata": {
"colab": {},
"colab_type": "code",
"id": "8rckz3ZuGhIc",
"outputId": "6f615f06-759a-4eea-839e-658155df8d36"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Found 2 image links\n",
"Saved 2 images\n",
"Found 2 image links\n",
"Saved 2 images\n",
"Found 2 image links\n",
"Saved 2 images\n",
"Found 2 image links\n",
"Saved 2 images\n",
"Found 2 image links\n",
"Saved 2 images\n",
"Found 2 image links\n",
"Saved 2 images\n",
"Found 2 image links\n",
"Saved 2 images\n",
"Found 2 image links\n",
"ERROR - Could not save https://upload.wikimedia.org/wikipedia/commons/5/59/Marion_Cotillard_at_2019_Cannes.jpg - cannot identify image file <_io.BytesIO object at 0x7f1a0b4d6d70>\n",
"Saved 1 images\n"
}
],
"from selenium import webdriver\n",
"from selenium.webdriver.firefox.options import Options\n",
"from Image_crawling import Image_crawling\n",
"queries = [\"brad pitt\",\"johnny depp\", \"leonardo dicaprio\", \"robert de niro\", \"angelina jolie\", \"sandra bullock\", \"catherine deneuve\", \"marion cotillard\"]\n",
"#queries = [\"Bart Simpson\",\"Homer Simpson\"]\n",
"download_folder = \"./brandnew_images/train/\"\n",
"waittime = 0.1 # Time to wait between actions, depends on the number of pictures you want to crawl. More pictures means you need to wait longer for them to load. \n",
"# Set options\n",
"options = webdriver.FirefoxOptions()\n",
"options.add_argument('--headless')\n",
"# Create Driver\n",
"driver = webdriver.Firefox(options=options, executable_path=\"/usr/bin/geckodriver\")\n",
"# create instance of crawler\n",
"image_crawling = Image_crawling(driver, waittime=waittime)\n",
"for query in queries:\n",
" # Craws image urls:\n",
" image_urls = image_crawling.fetch_image_urls(query, limit)\n",
" \n",
" # download images\n",
" image_crawling.download_image(download_folder + query)\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "CRHl9UX6GhIs"
},
"source": [
"Please check carefully the downloaded images, there may be a lot of garbage! You definitely need to \n",
"clean the data.\n",
"\n",
"In the following, you will apply data augmentation to your data set."
]
},
{
"cell_type": "code",
"metadata": {
"colab": {},
"colab_type": "code",
"id": "3SX21FtcGhIu"
},
"outputs": [],
"source": [
"# General imports\n",
"import tensorflow as tf\n",
"tf.compat.v1.enable_eager_execution(\n",
" config=None, device_policy=None, execution_mode=None\n",
")\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"\n",
"# Shortcuts to keras if (however from tensorflow)\n",
"from tensorflow.keras.preprocessing.image import ImageDataGenerator\n",
"from tensorflow.keras.models import Sequential\n",
"from tensorflow.keras.layers import Conv2D, MaxPooling2D\n",
"from tensorflow.keras.layers import Activation, Dropout, Flatten, Dense\n",
"from tensorflow.keras.callbacks import TensorBoard \n",
"\n",
"# Shortcut for displaying images\n",
"def plot_img(img):\n",
" plt.imshow(img, cmap='gray')\n",
" plt.axis(\"off\")\n",
" plt.show()\n",
" \n",
"# The target image size can be fixed here (quadratic)\n",
"# the ImageDataGenerator() automatically scales the images accordingly (aspect ratio is changed)\n",
"image_size = 150"
]
},
{
"cell_type": "code",
"metadata": {
"colab": {},
"colab_type": "code",
"id": "rN_Mp1rmGhI1",
"outputId": "6417b1f9-e7d4-4d56-a213-191f9d17524a"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Found 480 images belonging to 8 classes.\n"
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
" 0., 0., 0., 0., 0., 0., 0., 0.], dtype=float32)"
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# These are the class names; this defines the ordering of the classes\n",
"class_names = [\"brad pitt\", \"johnny depp\", \"leonardo dicaprio\", \"robert de niro\",\n",
" \"angelina jolie\", \"sandra bullock\", \"catherine deneuve\", \"marion cotillard\"]\n",
"\n",
"\n",
"# Class ImageDataGenerator() returns an iterator holding one batch of images\n",
"# the constructor takes arguments defining the different image transformations\n",
"# for augmentation purposes (rotation, x-/y-shift, intensity scaling - here 1./255 \n",
"# to scale range to [0, 1], shear, zoom, flip, ... )\n",
"train_datagen = ImageDataGenerator(\n",
" rotation_range=10,\n",
" width_shift_range=0.2,\n",
" height_shift_range=0.2,\n",
" rescale=1./255,\n",
" shear_range=0.2,\n",
" zoom_range=0.2,\n",
" horizontal_flip=True,\n",
" fill_mode='nearest')\n",
"\n",
"\n",
"dir_iter = train_datagen.flow_from_directory('./train/', \n",
" target_size=(image_size, image_size),\n",
" classes=class_names,\n",
" batch_size=25, class_mode='sparse', shuffle=False)\n",
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