{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "\n", "

TensorFlow

\n", "

Lesson 9

\n", "

Video Data

\n", "\n", "
\n", "\n", "
Flowchart
\n", "\n", "
Preparation and Pre-Processing
\n", "\n", "
Training and Test Set
\n", "\n", "
Performance Over Optimizations
\n", "\n", "
Summary
\n", "\n", "
Challenge
\n", "\n", "
\n", "\n", "
***Original Tutorial by Magnus Erik Hvass Pedersen:***
https://github.com/Hvass-Labs/TensorFlow-Tutorials
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "OVERVIEW\n", "
\n", "\n", "
\n", "The previous Tutorial #08 showed how to use the pre-trained Inception model on the CIFAR-10 data-set in so-called Transfer Learning. This tutorial shows how to use your own images.\n", "

\n", "For demonstration, we use a new data-set called [Knifey-Spoony](https://github.com/Hvass-Labs/knifey-spoony) that contains thousands of images of cutlery knives, spoons and forks on a few different backgrounds. The training-set contains 4170 images and the test-set contains 530 images. The classes are named knifey, spoony and forky as a reference to The Simpsons.\n", "

\n", "The images in the knifey-spoony data-set were created from video-files using a small Python [script](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/convert.py) that is run on Linux (it requires the `avconv`-program for conversion from videos to images). This allows you to easily create very large data-sets with thousands of images from just a few minutes of video recordings.\n", "

\n", "This tutorial builds on the previous tutorials so you should be familiar with Tutorial #08 on Transfer Learning, as well as earlier tutorials on how to build and train Neural Networks in TensorFlow.\n", "
\n", "\n", "
\n", "\n", "
[Click here to follow along with the video on YouTube](https://www.youtube.com/watch?v=9sYBC2_AVfA&list=PL9Hr9sNUjfsmEu1ZniY0XpHSzl5uihcXZ&t=0s&index=13)
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "FLOWCHART\n", "
\n", "\n", "The following chart shows how the data flows when using the Inception model for Transfer Learning. First we input and process an image with the Inception model. Just prior to the final classification layer of the Inception model, we save the so-called Transfer Values to a cache-file.\n", "\n", "This is very similar to how it was done in Tutorial #08, except that we now use the Knifey-Spoony data-set instead of CIFAR-10, which means that we are now feeding jpeg-images into the Inception model instead of numpy-arrays with image-data.\n", "\n", "When all the images in the new data-set have been processed through the Inception model and the resulting transfer-values saved to a cache file, then we can use those transfer-values as the input to another neural network. We will then train the second neural network using the classes from the new data-set, so the network learns how to classify images based on the transfer-values from the Inception model.\n", "\n", "In this way, the Inception model is used to extract useful information from the images and another neural network is then used for the actual classification.\n", "\n", "![Flowchart](data/images/09_transfer_learning_flowchart.png)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "PREPARATION AND PRE-PROCESSING\n", "
\n", "\n", "

Imports

\n", "\n", "Now that we are a few lessons in, we have removed a portion of redundant code in order to minimize the time it takes to read each lesson.\n", "\n", "If you need to review it or make changes, it is in the data folder provided with these lessons." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\Reasonable\\Anaconda3\\lib\\site-packages\\h5py\\__init__.py:34: 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", " from ._conv import register_converters as _register_converters\n" ] } ], "source": [ "%matplotlib inline\n", "import matplotlib.pyplot as plt\n", "import tensorflow as tf\n", "import numpy as np\n", "import time\n", "from datetime import timedelta\n", "import os\n", "\n", "# Functions and classes for loading and using the Inception model.\n", "from data import inception\n", "\n", "# We use Pretty Tensor to define the new classifier.\n", "import prettytensor as pt" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This was developed using Python 3.5.2 (Anaconda) and TensorFlow version:" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "'1.6.0'" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "tf.__version__" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "PrettyTensor version:" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'0.7.4'" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pt.__version__" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Load Data

" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "from data import knifey" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The data dimensions have already been defined in the `knifey` module, so we just need to import the ones we need." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "from data.knifey import num_classes" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Set the directory for storing the data-set on your computer." ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "collapsed": true }, "outputs": [], "source": [ "knifey.data_dir = \"data/knifey-spoony/\"" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Set the directory that will be used for cache-files in this tutorial." ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "collapsed": true }, "outputs": [], "source": [ "data_dir = knifey.data_dir" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The Knifey-Spoony data-set is about 22 MB and will be downloaded automatically if it is not located in the given path." ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "- Download progress: 100.0%\n", "Download finished. Extracting files.\n", "Done.\n" ] } ], "source": [ "knifey.maybe_download_and_extract()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now load the data-set. This scans the sub-directories for all `*.jpg` images and puts the filenames into two lists for the training-set and test-set. This does not actually load the images, which will be done when the transfer-values are being calculated further below.\n", "\n", "The lists of filenames are cached to harddisk so we can be sure that they are ordered in the same way when reloading the data-set later. This is important so we know which image-file corresponds to which transfer-values." ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Creating dataset from the files in: data/knifey-spoony/\n", "- Data saved to cache-file: data/knifey-spoony/knifey-spoony.pkl\n" ] } ], "source": [ "dataset = knifey.load()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Your Data

\n", "\n", "You can use your own images instead of loading the knifey-spoony data-set. You have to create a `DataSet`-object from the `dataset.py` module. The best way is to use the `load_cached()`-wrapper-function which automatically saves a cache-file with the lists of image-files, so you make sure that the ordering is consistent with the transfer-values created below.\n", "\n", "The images must be organized in sub-directories for each of the classes. See the documentation in the `dataset.py` module for more details." ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [], "source": [ "# This is the code you would run to load your own image-files.\n", "# It has been commented out so it won't run now.\n", "\n", "# from dataset import load_cached\n", "#dataset = load_cached(cache_path='my_dataset_cache.pkl', in_dir='my_images/')\n", "num_classes = dataset.num_classes" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "TRAINING AND TEST SET\n", "
\n", "\n", "Get the class-names." ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['forky', 'knifey', 'spoony']" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "class_names = dataset.class_names\n", "class_names" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Get the training-set. This returns the file-paths for the images, the class-numbers as integers, and the class-numbers as One-Hot encoded arrays called labels." ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "collapsed": true }, "outputs": [], "source": [ "image_paths_train, cls_train, labels_train = dataset.get_training_set()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Print the first image-path to see if it looks OK." ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'D:\\\\OneDrive\\\\Projects\\\\GitRepositories\\\\cooking-dough-with-tensorflow\\\\data\\\\knifey-spoony\\\\forky\\\\forky-01-0001.jpg'" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "image_paths_train[0]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Get the test-set." ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "collapsed": true }, "outputs": [], "source": [ "image_paths_test, cls_test, labels_test = dataset.get_test_set()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Print the first image-path to see if it looks OK." ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'D:\\\\OneDrive\\\\Projects\\\\GitRepositories\\\\cooking-dough-with-tensorflow\\\\data\\\\knifey-spoony\\\\forky\\\\test/forky-test-01-0001.jpg'" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "image_paths_test[0]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The Knifey-Spoony data-set has now been loaded and consists of 4700 images and associated labels (i.e. classifications of the images). The data-set is split into 2 mutually exclusive sub-sets, the training-set and the test-set." ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Size of:\n", "- Training-set:\t\t4170\n", "- Test-set:\t\t530\n" ] } ], "source": [ "print(\"Size of:\")\n", "print(\"- Training-set:\\t\\t{}\".format(len(image_paths_train)))\n", "print(\"- Test-set:\\t\\t{}\".format(len(image_paths_test)))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Helper-Function for Plotting Images

\n", "\n", "Function used to plot at most 9 images in a 3x3 grid, and writing the true and predicted classes below each image." ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "collapsed": true }, "outputs": [], "source": [ "def plot_images(images, cls_true, cls_pred=None, smooth=True):\n", "\n", " assert len(images) == len(cls_true)\n", "\n", " # Create figure with sub-plots.\n", " fig, axes = plt.subplots(3, 3)\n", "\n", " # Adjust vertical spacing.\n", " if cls_pred is None:\n", " hspace = 0.3\n", " else:\n", " hspace = 0.6\n", " fig.subplots_adjust(hspace=hspace, wspace=0.3)\n", "\n", " # Interpolation type.\n", " if smooth:\n", " interpolation = 'spline16'\n", " else:\n", " interpolation = 'nearest'\n", "\n", " for i, ax in enumerate(axes.flat):\n", " # There may be less than 9 images, ensure it doesn't crash.\n", " if i < len(images):\n", " # Plot image.\n", " ax.imshow(images[i],\n", " interpolation=interpolation)\n", "\n", " # Name of the true class.\n", " cls_true_name = class_names[cls_true[i]]\n", "\n", " # Show true and predicted classes.\n", " if cls_pred is None:\n", " xlabel = \"True: {0}\".format(cls_true_name)\n", " else:\n", " # Name of the predicted class.\n", " cls_pred_name = class_names[cls_pred[i]]\n", "\n", " xlabel = \"True: {0}\\nPred: {1}\".format(cls_true_name, cls_pred_name)\n", "\n", " # Show the classes as the label on the x-axis.\n", " ax.set_xlabel(xlabel)\n", " \n", " # Remove ticks from the plot.\n", " ax.set_xticks([])\n", " ax.set_yticks([])\n", " \n", " # Ensure the plot is shown correctly with multiple plots\n", " # in a single Notebook cell.\n", " plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Helper-Function for Loading Images

" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This data-set does not load the actual images, instead it has a list of the images in the training-set and another list for the images in the test-set. This helper-function loads some image-files." ] }, { "cell_type": "code", "execution_count": 24, "metadata": { "collapsed": true }, "outputs": [], "source": [ "from matplotlib.image import imread\n", "\n", "def load_images(image_paths):\n", " # Load the images from disk.\n", " images = [imread(path) for path in image_paths]\n", "\n", " # Convert to a numpy array and return it.\n", " return np.asarray(images)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Plot a few Images to See if Data is Correct

" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAUMAAAD5CAYAAAC9FVegAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Load the first images from the test-set.\n", "images = load_images(image_paths=image_paths_test[0:9])\n", "\n", "# Get the true classes for those images.\n", "cls_true = cls_test[0:9]\n", "\n", "# Plot the images and labels using our helper-function above.\n", "plot_images(images=images, cls_true=cls_true, smooth=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Download the Inception Model

" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The Inception model is downloaded from the internet. This is the default directory where you want to save the data-files. The directory will be created if it does not exist." ] }, { "cell_type": "code", "execution_count": 27, "metadata": { "collapsed": true }, "outputs": [], "source": [ "inception.data_dir = 'data/inception/'" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Download the data for the Inception model if it doesn't already exist in the directory. It is 85 MB.\n", "\n", "See Tutorial #07 for more details." ] }, { "cell_type": "code", "execution_count": 28, "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Downloading Inception v3 Model ...\n", "Data has apparently already been downloaded and unpacked.\n" ] } ], "source": [ "inception.maybe_download()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Load the Inception Model

" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Load the Inception model so it is ready for classifying images.\n", "\n", "Note the deprecation warning, which might cause the program to fail in the future." ] }, { "cell_type": "code", "execution_count": 29, "metadata": { "collapsed": true, "scrolled": false }, "outputs": [], "source": [ "model = inception.Inception()" ] }, { "cell_type": "markdown", "metadata": { "collapsed": true }, "source": [ "

Calculate Transfer Values

" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Import a helper-function for caching the transfer-values of the Inception model." ] }, { "cell_type": "code", "execution_count": 30, "metadata": { "collapsed": true }, "outputs": [], "source": [ "from data.inception import transfer_values_cache" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Set the file-paths for the caches of the training-set and test-set." ] }, { "cell_type": "code", "execution_count": 31, "metadata": { "collapsed": true }, "outputs": [], "source": [ "file_path_cache_train = os.path.join(data_dir, 'inception-knifey-train.pkl')\n", "file_path_cache_test = os.path.join(data_dir, 'inception-knifey-test.pkl')" ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Processing Inception transfer-values for training-images ...\n", "- Processing image: 4170 / 4170\n", "- Data saved to cache-file: data/knifey-spoony/inception-knifey-train.pkl\n" ] } ], "source": [ "print(\"Processing Inception transfer-values for training-images ...\")\n", "\n", "# If transfer-values have already been calculated then reload them,\n", "# otherwise calculate them and save them to a cache-file.\n", "transfer_values_train = transfer_values_cache(cache_path=file_path_cache_train,\n", " image_paths=image_paths_train,\n", " model=model)" ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Processing Inception transfer-values for test-images ...\n", "- Processing image: 530 / 530\n", "- Data saved to cache-file: data/knifey-spoony/inception-knifey-test.pkl\n" ] } ], "source": [ "print(\"Processing Inception transfer-values for test-images ...\")\n", "\n", "# If transfer-values have already been calculated then reload them,\n", "# otherwise calculate them and save them to a cache-file.\n", "transfer_values_test = transfer_values_cache(cache_path=file_path_cache_test,\n", " image_paths=image_paths_test,\n", " model=model)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Check the shape of the array with the transfer-values. There are 4170 images in the training-set and for each image there are 2048 transfer-values." ] }, { "cell_type": "code", "execution_count": 34, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(4170, 2048)" ] }, "execution_count": 34, "metadata": {}, "output_type": "execute_result" } ], "source": [ "transfer_values_train.shape" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Similarly, there are 530 images in the test-set with 2048 transfer-values for each image." ] }, { "cell_type": "code", "execution_count": 35, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(530, 2048)" ] }, "execution_count": 35, "metadata": {}, "output_type": "execute_result" } ], "source": [ "transfer_values_test.shape" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Helper-Function for Plotting Transfer Values

" ] }, { "cell_type": "code", "execution_count": 36, "metadata": { "collapsed": true }, "outputs": [], "source": [ "def plot_transfer_values(i):\n", " print(\"Input image:\")\n", " \n", " # Plot the i'th image from the test-set.\n", " image = imread(image_paths_test[i])\n", " plt.imshow(image, interpolation='spline16')\n", " plt.show()\n", " \n", " print(\"Transfer-values for the image using Inception model:\")\n", " \n", " # Transform the transfer-values into an image.\n", " img = transfer_values_test[i]\n", " img = img.reshape((32, 64))\n", "\n", " # Plot the image for the transfer-values.\n", " plt.imshow(img, interpolation='nearest', cmap='Reds')\n", " plt.show()" ] }, { "cell_type": "code", "execution_count": 37, "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Input image:\n" ] }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAQUAAAD8CAYAAAB+fLH0AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRU5ErkJggg==\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Transfer-values for the image using Inception model:\n" ] }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAADKCAYAAAC11LviAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ndT48IQAAAABJRU5ErkJggg==\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_transfer_values(i=100)" ] }, { "cell_type": "code", "execution_count": 38, "metadata": { "scrolled": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Input image:\n" ] }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAQUAAAD8CAYAAAB+fLH0AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Transfer-values for the image using Inception model:\n" ] }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAADKCAYAAAC11LviAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nrkJggg==\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_transfer_values(i=300)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Analysis of Transfer Values using PCA

" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Use Principal Component Analysis (PCA) from scikit-learn to reduce the array-lengths of the transfer-values from 2048 to 2 so they can be plotted." ] }, { "cell_type": "code", "execution_count": 39, "metadata": { "collapsed": true }, "outputs": [], "source": [ "from sklearn.decomposition import PCA" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Create a new PCA-object and set the target array-length to 2." ] }, { "cell_type": "code", "execution_count": 40, "metadata": { "collapsed": true }, "outputs": [], "source": [ "pca = PCA(n_components=2)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "It takes a while to compute the PCA. In this case the data-set is not so large, but otherwise you could select a smaller part of the training-set to speed up the computation." ] }, { "cell_type": "code", "execution_count": 41, "metadata": { "collapsed": true }, "outputs": [], "source": [ "# transfer_values = transfer_values_train[0:3000]\n", "transfer_values = transfer_values_train" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Get the class-numbers for the samples you selected." ] }, { "cell_type": "code", "execution_count": 42, "metadata": { "collapsed": true }, "outputs": [], "source": [ "# cls = cls_train[0:3000]\n", "cls = cls_train" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Check that the array has 4170 samples and 2048 transfer-values for each sample." ] }, { "cell_type": "code", "execution_count": 43, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "(4170, 2048)" ] }, "execution_count": 43, "metadata": {}, "output_type": "execute_result" } ], "source": [ "transfer_values.shape" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Use PCA to reduce the transfer-value arrays from 2048 to 2 elements." ] }, { "cell_type": "code", "execution_count": 44, "metadata": { "collapsed": true }, "outputs": [], "source": [ "transfer_values_reduced = pca.fit_transform(transfer_values)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Check that it is now an array with 4170 samples and 2 values per sample." ] }, { "cell_type": "code", "execution_count": 45, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "(4170, 2)" ] }, "execution_count": 45, "metadata": {}, "output_type": "execute_result" } ], "source": [ "transfer_values_reduced.shape" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Helper-function for plotting the reduced transfer-values." ] }, { "cell_type": "code", "execution_count": 46, "metadata": { "collapsed": true }, "outputs": [], "source": [ "def plot_scatter(values, cls):\n", " # Create a color-map with a different color for each class.\n", " import matplotlib.cm as cm\n", " cmap = cm.rainbow(np.linspace(0.0, 1.0, num_classes))\n", "\n", " # Create an index with a random permutation to make a better plot.\n", " idx = np.random.permutation(len(values))\n", " \n", " # Get the color for each sample.\n", " colors = cmap[cls[idx]]\n", "\n", " # Extract the x- and y-values.\n", " x = values[idx, 0]\n", " y = values[idx, 1]\n", "\n", " # Plot it.\n", " plt.scatter(x, y, color=colors, alpha=0.5)\n", " plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Plot the transfer-values that have been reduced using PCA. There are 3 different colors for the different classes in the Knifey-Spoony data-set. The colors have very large overlap. This may be because PCA cannot properly separate the transfer-values." ] }, { "cell_type": "code", "execution_count": 47, "metadata": { "scrolled": true }, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYAAAAD8CAYAAAB+UHOxAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAAAElFTkSuQmCC\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_scatter(transfer_values_reduced, cls=cls)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Analysis of Transfer Values using t-SNE

" ] }, { "cell_type": "code", "execution_count": 48, "metadata": { "collapsed": true }, "outputs": [], "source": [ "from sklearn.manifold import TSNE" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Another method for doing dimensionality reduction is t-SNE. Unfortunately, t-SNE is very slow so we first use PCA to reduce the transfer-values from 2048 to 50 elements." ] }, { "cell_type": "code", "execution_count": 49, "metadata": { "collapsed": true }, "outputs": [], "source": [ "pca = PCA(n_components=50)\n", "transfer_values_50d = pca.fit_transform(transfer_values)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Create a new t-SNE object for the final dimensionality reduction and set the target to 2-dim." ] }, { "cell_type": "code", "execution_count": 50, "metadata": { "collapsed": true }, "outputs": [], "source": [ "tsne = TSNE(n_components=2)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Perform the final reduction using t-SNE. The current implemenation of t-SNE in scikit-learn cannot handle data with many samples so this might crash if you use the full training-set." ] }, { "cell_type": "code", "execution_count": 51, "metadata": { "collapsed": true }, "outputs": [], "source": [ "transfer_values_reduced = tsne.fit_transform(transfer_values_50d) " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Check that it is now an array with 4170 samples and 2 transfer-values per sample." ] }, { "cell_type": "code", "execution_count": 52, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "(4170, 2)" ] }, "execution_count": 52, "metadata": {}, "output_type": "execute_result" } ], "source": [ "transfer_values_reduced.shape" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Plot the transfer-values that have been reduced to 2-dim using t-SNE, which shows better separation than the PCA-plot above.\n", "\n", "This means the transfer-values from the Inception model appear to contain enough information to separate the Knifey-Spoony images into classes, although there is still some overlap so the separation is not perfect." ] }, { "cell_type": "code", "execution_count": 53, "metadata": { "scrolled": true }, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXwAAAD8CAYAAAB0IB+mAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nMEswgm8wGAyzBCP4BoPBMEv4/wgcdnLzYpllAAAAAElFTkSuQmCC\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_scatter(transfer_values_reduced, cls=cls)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

New Classifier in TensorFlow

" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we will create another neural network in TensorFlow. This network will take as input the transfer-values from the Inception model and output the predicted classes for Knifey-Spoony images.\n", "\n", "It is assumed that you are already familiar with how to build neural networks in TensorFlow, otherwise see e.g. Tutorial #03." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Placeholder Variables

\n", "\n", "First we need the array-length for transfer-values which is stored as a variable in the object for the Inception model." ] }, { "cell_type": "code", "execution_count": 54, "metadata": { "collapsed": true }, "outputs": [], "source": [ "transfer_len = model.transfer_len" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now create a placeholder variable for inputting the transfer-values from the Inception model into the new network that we are building. The shape of this variable is `[None, transfer_len]` which means it takes an input array with an arbitrary number of samples as indicated by the keyword `None` and each sample has 2048 elements, equal to `transfer_len`." ] }, { "cell_type": "code", "execution_count": 55, "metadata": { "collapsed": true }, "outputs": [], "source": [ "x = tf.placeholder(tf.float32, shape=[None, transfer_len], name='x')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Create another placeholder variable for inputting the true class-label of each image. These are so-called One-Hot encoded arrays with 3 elements, one for each possible class in the data-set." ] }, { "cell_type": "code", "execution_count": 56, "metadata": { "collapsed": true }, "outputs": [], "source": [ "y_true = tf.placeholder(tf.float32, shape=[None, num_classes], name='y_true')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Calculate the true class as an integer. This could also be a placeholder variable." ] }, { "cell_type": "code", "execution_count": 57, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "WARNING:tensorflow:From :1: calling argmax (from tensorflow.python.ops.math_ops) with dimension is deprecated and will be removed in a future version.\n", "Instructions for updating:\n", "Use the `axis` argument instead\n" ] } ], "source": [ "y_true_cls = tf.argmax(y_true, dimension=1)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Neural Network

" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Create the neural network for doing the classification on the Knifey-Spoony data-set. This takes as input the transfer-values from the Inception model which will be fed into the placeholder variable `x`. The network outputs the predicted class in `y_pred`.\n", "\n", "See Tutorial #03 for more details on how to use Pretty Tensor to construct neural networks." ] }, { "cell_type": "code", "execution_count": 58, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "WARNING:tensorflow:From C:\\Users\\Reasonable\\Anaconda3\\lib\\site-packages\\tensorflow\\contrib\\nn\\python\\ops\\cross_entropy.py:68: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n", "Instructions for updating:\n", "\n", "Future major versions of TensorFlow will allow gradients to flow\n", "into the labels input on backprop by default.\n", "\n", "See tf.nn.softmax_cross_entropy_with_logits_v2.\n", "\n" ] } ], "source": [ "# Wrap the transfer-values as a Pretty Tensor object.\n", "x_pretty = pt.wrap(x)\n", "\n", "with pt.defaults_scope(activation_fn=tf.nn.relu):\n", " y_pred, loss = x_pretty.\\\n", " fully_connected(size=1024, name='layer_fc1').\\\n", " softmax_classifier(num_classes=num_classes, labels=y_true)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Optimization Method

\n", "\n", "Create a variable for keeping track of the number of optimization iterations performed." ] }, { "cell_type": "code", "execution_count": 59, "metadata": { "collapsed": true }, "outputs": [], "source": [ "global_step = tf.Variable(initial_value=0,\n", " name='global_step', trainable=False)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Method for optimizing the new neural network." ] }, { "cell_type": "code", "execution_count": 60, "metadata": { "collapsed": true }, "outputs": [], "source": [ "optimizer = tf.train.AdamOptimizer(learning_rate=1e-4).minimize(loss, global_step)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Classification Accuracy

\n", "\n", "The output of the network `y_pred` is an array with 3 elements. The class number is the index of the largest element in the array." ] }, { "cell_type": "code", "execution_count": 61, "metadata": { "collapsed": true }, "outputs": [], "source": [ "y_pred_cls = tf.argmax(y_pred, dimension=1)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Create an array of booleans whether the predicted class equals the true class of each image." ] }, { "cell_type": "code", "execution_count": 62, "metadata": { "collapsed": true }, "outputs": [], "source": [ "correct_prediction = tf.equal(y_pred_cls, y_true_cls)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The classification accuracy is calculated by first type-casting the array of booleans to floats, so that False becomes 0 and True becomes 1, and then taking the average of these numbers." ] }, { "cell_type": "code", "execution_count": 63, "metadata": { "collapsed": true }, "outputs": [], "source": [ "accuracy = tf.reduce_mean(tf.cast(correct_prediction, tf.float32))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Create TensorFlow Session

\n", "\n", "Once the TensorFlow graph has been created, we have to create a TensorFlow session which is used to execute the graph." ] }, { "cell_type": "code", "execution_count": 64, "metadata": { "collapsed": true }, "outputs": [], "source": [ "session = tf.Session()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Initialize Variables

" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The variables for the new network must be initialized before we start optimizing them." ] }, { "cell_type": "code", "execution_count": 65, "metadata": { "collapsed": true }, "outputs": [], "source": [ "session.run(tf.global_variables_initializer())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Helper-Function for Random Training Batch

" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "There are 4170 images (and arrays with transfer-values for the images) in the training-set. It takes a long time to calculate the gradient of the model using all these images (transfer-values). We therefore only use a small batch of images (transfer-values) in each iteration of the optimizer.\n", "\n", "If your computer crashes or becomes very slow because you run out of RAM, then you may try and lower this number, but you may then need to perform more optimization iterations." ] }, { "cell_type": "code", "execution_count": 66, "metadata": { "collapsed": true }, "outputs": [], "source": [ "train_batch_size = 64" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Function for selecting a random batch of transfer-values from the training-set." ] }, { "cell_type": "code", "execution_count": 67, "metadata": { "collapsed": true }, "outputs": [], "source": [ "def random_batch():\n", " # Number of images (transfer-values) in the training-set.\n", " num_images = len(transfer_values_train)\n", "\n", " # Create a random index.\n", " idx = np.random.choice(num_images,\n", " size=train_batch_size,\n", " replace=False)\n", "\n", " # Use the random index to select random x and y-values.\n", " # We use the transfer-values instead of images as x-values.\n", " x_batch = transfer_values_train[idx]\n", " y_batch = labels_train[idx]\n", "\n", " return x_batch, y_batch" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Helper-Function to Perform Optimization

\n", "\n", "This function performs a number of optimization iterations so as to gradually improve the variables of the neural network. In each iteration, a new batch of data is selected from the training-set and then TensorFlow executes the optimizer using those training samples. The progress is printed every 100 iterations." ] }, { "cell_type": "code", "execution_count": 68, "metadata": { "collapsed": true }, "outputs": [], "source": [ "def optimize(num_iterations):\n", " # Start-time used for printing time-usage below.\n", " start_time = time.time()\n", "\n", " for i in range(num_iterations):\n", " # Get a batch of training examples.\n", " # x_batch now holds a batch of images (transfer-values) and\n", " # y_true_batch are the true labels for those images.\n", " x_batch, y_true_batch = random_batch()\n", "\n", " # Put the batch into a dict with the proper names\n", " # for placeholder variables in the TensorFlow graph.\n", " feed_dict_train = {x: x_batch,\n", " y_true: y_true_batch}\n", "\n", " # Run the optimizer using this batch of training data.\n", " # TensorFlow assigns the variables in feed_dict_train\n", " # to the placeholder variables and then runs the optimizer.\n", " # We also want to retrieve the global_step counter.\n", " i_global, _ = session.run([global_step, optimizer],\n", " feed_dict=feed_dict_train)\n", "\n", " # Print status to screen every 100 iterations (and last).\n", " if (i_global % 100 == 0) or (i == num_iterations - 1):\n", " # Calculate the accuracy on the training-batch.\n", " batch_acc = session.run(accuracy,\n", " feed_dict=feed_dict_train)\n", "\n", " # Print status.\n", " msg = \"Global Step: {0:>6}, Training Batch Accuracy: {1:>6.1%}\"\n", " print(msg.format(i_global, batch_acc))\n", "\n", " # Ending time.\n", " end_time = time.time()\n", "\n", " # Difference between start and end-times.\n", " time_dif = end_time - start_time\n", "\n", " # Print the time-usage.\n", " print(\"Time usage: \" + str(timedelta(seconds=int(round(time_dif)))))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Helper-Function to Plot Example Errors

\n", "\n", "Function for plotting examples of images from the test-set that have been mis-classified." ] }, { "cell_type": "code", "execution_count": 69, "metadata": { "collapsed": true }, "outputs": [], "source": [ "def plot_example_errors(cls_pred, correct):\n", " # This function is called from print_test_accuracy() below.\n", "\n", " # cls_pred is an array of the predicted class-number for\n", " # all images in the test-set.\n", "\n", " # correct is a boolean array whether the predicted class\n", " # is equal to the true class for each image in the test-set.\n", "\n", " # Negate the boolean array.\n", " incorrect = (correct == False)\n", "\n", " # Get the indices for the incorrectly classified images.\n", " idx = np.flatnonzero(incorrect)\n", "\n", " # Number of images to select, max 9.\n", " n = min(len(idx), 9)\n", " \n", " # Randomize and select n indices.\n", " idx = np.random.choice(idx,\n", " size=n,\n", " replace=False)\n", "\n", " # Get the predicted classes for those images.\n", " cls_pred = cls_pred[idx]\n", "\n", " # Get the true classes for those images.\n", " cls_true = cls_test[idx]\n", "\n", " # Load the corresponding images from the test-set.\n", " # Note: We cannot do image_paths_test[idx] on lists of strings.\n", " image_paths = [image_paths_test[i] for i in idx]\n", " images = load_images(image_paths)\n", "\n", " # Plot the images.\n", " plot_images(images=images,\n", " cls_true=cls_true,\n", " cls_pred=cls_pred)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Helper-Function to Plot Confusion Matrix

" ] }, { "cell_type": "code", "execution_count": 70, "metadata": { "collapsed": true }, "outputs": [], "source": [ "# Import a function from sklearn to calculate the confusion-matrix.\n", "from sklearn.metrics import confusion_matrix\n", "\n", "def plot_confusion_matrix(cls_pred):\n", " # This is called from print_test_accuracy() below.\n", "\n", " # cls_pred is an array of the predicted class-number for\n", " # all images in the test-set.\n", "\n", " # Get the confusion matrix using sklearn.\n", " cm = confusion_matrix(y_true=cls_test, # True class for test-set.\n", " y_pred=cls_pred) # Predicted class.\n", "\n", " # Print the confusion matrix as text.\n", " for i in range(num_classes):\n", " # Append the class-name to each line.\n", " class_name = \"({}) {}\".format(i, class_names[i])\n", " print(cm[i, :], class_name)\n", "\n", " # Print the class-numbers for easy reference.\n", " class_numbers = [\" ({0})\".format(i) for i in range(num_classes)]\n", " print(\"\".join(class_numbers))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Helper-Function for Calculating Classifications

\n", "\n", "This function calculates the predicted classes of images and also returns a boolean array whether the classification of each image is correct.\n", "\n", "The calculation is done in batches because it might use too much RAM otherwise. If your computer crashes then you can try and lower the batch-size." ] }, { "cell_type": "code", "execution_count": 71, "metadata": { "collapsed": true }, "outputs": [], "source": [ "# Split the data-set in batches of this size to limit RAM usage.\n", "batch_size = 256\n", "\n", "def predict_cls(transfer_values, labels, cls_true):\n", " # Number of images.\n", " num_images = len(transfer_values)\n", "\n", " # Allocate an array for the predicted classes which\n", " # will be calculated in batches and filled into this array.\n", " cls_pred = np.zeros(shape=num_images, dtype=np.int)\n", "\n", " # Now calculate the predicted classes for the batches.\n", " # We will just iterate through all the batches.\n", " # There might be a more clever and Pythonic way of doing this.\n", "\n", " # The starting index for the next batch is denoted i.\n", " i = 0\n", "\n", " while i < num_images:\n", " # The ending index for the next batch is denoted j.\n", " j = min(i + batch_size, num_images)\n", "\n", " # Create a feed-dict with the images and labels\n", " # between index i and j.\n", " feed_dict = {x: transfer_values[i:j],\n", " y_true: labels[i:j]}\n", "\n", " # Calculate the predicted class using TensorFlow.\n", " cls_pred[i:j] = session.run(y_pred_cls, feed_dict=feed_dict)\n", "\n", " # Set the start-index for the next batch to the\n", " # end-index of the current batch.\n", " i = j\n", " \n", " # Create a boolean array whether each image is correctly classified.\n", " correct = (cls_true == cls_pred)\n", "\n", " return correct, cls_pred" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Calculate the predicted class for the test-set." ] }, { "cell_type": "code", "execution_count": 72, "metadata": { "collapsed": true }, "outputs": [], "source": [ "def predict_cls_test():\n", " return predict_cls(transfer_values = transfer_values_test,\n", " labels = labels_test,\n", " cls_true = cls_test)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Helper-Function for Calculating Classification Accuracy

\n", "\n", "This function calculates the classification accuracy given a boolean array whether each image was correctly classified. E.g. `classification_accuracy([True, True, False, False, False]) = 2/5 = 0.4`. The function also returns the number of correct classifications." ] }, { "cell_type": "code", "execution_count": 73, "metadata": { "collapsed": true }, "outputs": [], "source": [ "def classification_accuracy(correct):\n", " # When averaging a boolean array, False means 0 and True means 1.\n", " # So we are calculating: number of True / len(correct) which is\n", " # the same as the classification accuracy.\n", "\n", " # Return the classification accuracy\n", " # and the number of correct classifications.\n", " return correct.mean(), correct.sum()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Helper-Function for Showing the Classification Accuracy

" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Function for printing the classification accuracy on the test-set.\n", "\n", "It takes a while to compute the classification for all the images in the test-set, that's why the results are re-used by calling the above functions directly from this function, so the classifications don't have to be recalculated by each function." ] }, { "cell_type": "code", "execution_count": 74, "metadata": { "collapsed": true }, "outputs": [], "source": [ "def print_test_accuracy(show_example_errors=False,\n", " show_confusion_matrix=False):\n", "\n", " # For all the images in the test-set,\n", " # calculate the predicted classes and whether they are correct.\n", " correct, cls_pred = predict_cls_test()\n", " \n", " # Classification accuracy and the number of correct classifications.\n", " acc, num_correct = classification_accuracy(correct)\n", " \n", " # Number of images being classified.\n", " num_images = len(correct)\n", "\n", " # Print the accuracy.\n", " msg = \"Accuracy on Test-Set: {0:.1%} ({1} / {2})\"\n", " print(msg.format(acc, num_correct, num_images))\n", "\n", " # Plot some examples of mis-classifications, if desired.\n", " if show_example_errors:\n", " print(\"Example errors:\")\n", " plot_example_errors(cls_pred=cls_pred, correct=correct)\n", "\n", " # Plot the confusion matrix, if desired.\n", " if show_confusion_matrix:\n", " print(\"Confusion Matrix:\")\n", " plot_confusion_matrix(cls_pred=cls_pred)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "PERFORMANCE BEFORE OPTIMIZATION\n", "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The classification accuracy on the test-set is very low because the model variables have only been initialized and not optimized at all, so it just classifies the images randomly." ] }, { "cell_type": "code", "execution_count": 76, "metadata": { "scrolled": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Accuracy on Test-Set: 52.6% (279 / 530)\n", "Confusion Matrix:\n", "[90 0 61] (0) forky\n", "[91 0 46] (1) knifey\n", "[ 53 0 189] (2) spoony\n", " (0) (1) (2)\n" ] } ], "source": [ "print_test_accuracy(show_example_errors=False,\n", " show_confusion_matrix=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "PERFORMANCE AFTER 1,000 OPTIMIZATION ITERATIONS\n", "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "After 1000 optimization iterations, the classification accuracy is about 70% on the test-set." ] }, { "cell_type": "code", "execution_count": 77, "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Global Step: 100, Training Batch Accuracy: 92.2%\n", "Global Step: 200, Training Batch Accuracy: 98.4%\n", "Global Step: 300, Training Batch Accuracy: 96.9%\n", "Global Step: 400, Training Batch Accuracy: 98.4%\n", "Global Step: 500, Training Batch Accuracy: 98.4%\n", "Global Step: 600, Training Batch Accuracy: 100.0%\n", "Global Step: 700, Training Batch Accuracy: 100.0%\n", "Global Step: 800, Training Batch Accuracy: 100.0%\n", "Global Step: 900, Training Batch Accuracy: 100.0%\n", "Global Step: 1000, Training Batch Accuracy: 100.0%\n", "Time usage: 0:00:04\n" ] } ], "source": [ "optimize(num_iterations=1000)" ] }, { "cell_type": "code", "execution_count": 78, "metadata": { "scrolled": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Accuracy on Test-Set: 71.9% (381 / 530)\n", "Example errors:\n" ] }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAUAAAAEECAYAAABZWe3QAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nstMAAAAASUVORK5CYII=\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Confusion Matrix:\n", "[41 48 62] (0) forky\n", "[ 7 105 25] (1) knifey\n", "[ 1 6 235] (2) spoony\n", " (0) (1) (2)\n" ] } ], "source": [ "print_test_accuracy(show_example_errors=True,\n", " show_confusion_matrix=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Close TensorFlow Session

" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We are now done using TensorFlow, so we close the session to release its resources. Note that we have two TensorFlow-sessions so we close both." ] }, { "cell_type": "code", "execution_count": 79, "metadata": { "collapsed": true }, "outputs": [], "source": [ "# This can be commented out in case you want to modify and experiment\n", "# with the Notebook without having to restart it.\n", "model.close()\n", "session.close()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "SUMMARY\n", "
\n", "\n", "This tutorial showed how to use your own images in Transfer Learning with the Inception model. Thousands of images were used in this tutorial which were generated from just a few minutes of video recordings using a Python [script](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/convert.py).\n", "\n", "However, the classification accuracy was not very good on the Knifey-Spoony data-set, especially for images of forks. The reason for this may be that the Inception model was originally trained on the ImageNet data-set which only contains 16 images of forks, while it contains more than 1200 images of spoons and more than 1300 images of knives. So it is possible that the Inception model cannot properly recognize forks.\n", "\n", "We therefore need another technique for fine-tuning the Inception model so it becomes better at recognizing images of forks." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "CHALLENGE\n", "
\n", "\n", "These are a few suggestions for exercises that may help improve your skills with TensorFlow. It is important to get hands-on experience with TensorFlow in order to learn how to use it properly.\n", "\n", "You may want to backup this Notebook and the other files before making any changes.\n", "\n", "* Try changing the neural network for doing the new classification. What happens if you remove the fully-connected layer, or add more fully-connected layers?\n", "* What happens if you perform fewer or more optimization iterations?\n", "* Try and delete some of the spoony-images in the training-set so there is a similar amount of images in each of the 3 classes (take a backup first). You also need to delete all the cache-files with `*.pkl` filenames and re-run this Notebook. Does this improve the classification accuracy? Compare the confusion matrix before and after this change.\n", "* Create your own data-set using the `convert.py` script. For example, make video recordings of cars and motorcycles and build a classification system that can tell those two classes apart.\n", "* Is it necessary to delete unclear images from the training-set you have created? What happens to the classification accuracy if you delete the unclear images?\n", "* Make changes to this Notebook so you can input a single image instead of a whole data-set. You don't have to cache the transfer-values from the Inception model.\n", "* Can you build a better or faster Neural Network for your data-set instead of using the Inception model with Transfer Learning?\n", "* Explain to a friend how the program works." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "LICENSE (MIT)\n", "
\n", "\n", "Copyright (c) 2016 by [Magnus Erik Hvass Pedersen](http://www.hvass-labs.org/)\n", "\n", "Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the \"Software\"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:\n", "\n", "The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.\n", "\n", "THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "anaconda-cloud": {}, "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": "3.6.4" } }, "nbformat": 4, "nbformat_minor": 1 }