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Tiny ImageNet: view images, predictions, and saliency maps
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Tiny ImageNet: View Predictions and Saliency\n",
"\n",
"This notebook predicts the top-5 most likely labels for a random selection of images. The human labels, along with the top-5 model predictions, are displayed below each picture. Also, a \"saliency map\" is displayed next to each image. The saliency map highlights areas that were most important in making the top prediction. \n",
"\n",
"It is worth noting that a human labeler would have a difficult time correctly identifying many of these down-sampled images. The human labelers had the advantage of 4x higher resolution images to make their predictions (256x256 vs. 64x64 images). So, the model performance is quite impressive considering the low-resolution images.\n",
"\n",
"The last cell may be re-run multiple times to explore a new selection of pictures.\n",
"\n",
"Python Notebook by Patrick Coady: [Learning Artificial Intelligence](https://learningai.io/)"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"from train import *\n",
"import tensorflow as tf\n",
"import glob\n",
"import matplotlib.pyplot as plt\n",
"import random\n",
"import scipy.ndimage\n",
"\n",
"%matplotlib inline\n",
"plt.rcParams['figure.figsize'] = (10, 6)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"class TrainConfig(object):\n",
" \"\"\"Training configuration\"\"\"\n",
" dropout_keep_prob = 1.0\n",
" model_name = 'vgg_16' # choose model \n",
" model = staticmethod(globals()[model_name])\n",
" config_name = 'no_hue' # choose training run"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"def predict(imgs, config):\n",
" \"\"\"Load most recent checkpoint, make predictions, compute saliency maps\"\"\"\n",
" g = tf.Graph()\n",
" with g.as_default():\n",
" imgs_ph = tf.placeholder(dtype=tf.uint8, shape=(None, 56, 56, 3))\n",
" logits = config.model(imgs_ph, config)\n",
" top_pred = tf.reduce_max(logits, axis=1)\n",
" top_5 = tf.nn.top_k(logits, k=5, sorted=True)\n",
" # can't calculate gradient to integer, get float32 version of image:\n",
" float_img = g.get_tensor_by_name('Cast:0')\n",
" # calc gradient of top predicted class to image:\n",
" grads = tf.gradients(top_pred, float_img)\n",
" saver = tf.train.Saver()\n",
" with tf.Session() as sess:\n",
" path = 'checkpoints/' + config.model_name + '/' + config.config_name\n",
" saver.restore(sess, tf.train.latest_checkpoint(path))\n",
" feed_dict = {imgs_ph: imgs}\n",
" top_5_np, grads_np = sess.run([top_5, grads], feed_dict=feed_dict)\n",
" \n",
" return top_5_np, grads_np"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# get label integer -> text description dictionary\n",
"label_dict, class_description = build_label_dicts()\n",
"for i in range(len(class_description)):\n",
" class_description[i] = class_description[i].split(',')[0]"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"INFO:tensorflow:Restoring parameters from checkpoints/vgg_16/no_hue/model-44000\n"
]
},
{
"data": {
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ALLxDCCGEEEKogCy8QwghhBBCqIByqwlt+68PZ654piwfDwqwlCCkkPAVkEFitOUffQqM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\nJpwKObUTPfOlkJPt5DzIJWw/EnNNwof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"text/plain": [
"<matplotlib.figure.Figure at 0x7f03cedb3940>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Actual label: miniskirt\n",
"Top 5 predictions:\n",
"['miniskirt', 'swimming trunks', 'apron', 'dumbbell', 'fur coat']\n",
"\n",
"\n"
]
},
{
"data": {
"image/png": 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f5lTFV3vONN6UU00eVWVGRKxduzbNd+/enearV69Oc6riq60NpJzmagTf01St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\nyPdBXvK3IP8jyKmlhBpBRirzIcgjIv455HTvfhR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"text/plain": [
"<matplotlib.figure.Figure at 0x7f03ceb80630>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Actual label: lesser panda\n",
"Top 5 predictions:\n",
"['brown bear', 'baboon', 'hog', 'chimpanzee', 'Labrador retriever']\n",
"\n",
"\n"
]
},
{
"data": {
"image/png": 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mEknaPmBZr4Z8D+SrID8bcjK2vAZySfpzH+9dC+efCPlOyJcgJ+sDmSUWIJd4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\nDImFRogEUEAhGlkWWPbDgvacSTYhV4r/rzwMszN3di8X4j3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"text/plain": [
"<matplotlib.figure.Figure at 0x7f03ced4aeb8>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Actual label: computer keyboard\n",
"Top 5 predictions:\n",
"['plunger', 'dumbbell', 'bathtub', 'iPod', 'refrigerator']\n",
"\n",
"\n"
]
},
{
"data": {
"image/png": 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IIYQQQggVkIV3CCGEEEIIFZCFdwghhBBCCBVQajWZ7fp1eZ3MCCU7/hto0/Bt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\nen1ua3+yClA9dbpW4LlYCHb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S9GrID4X8Acj9O5jruc7H68H8MgH1vAaql6QRmK/v9/YS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\nAAX4b4Yy1eScJ49zAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f03cee3af28>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Actual label: water tower\n",
"Top 5 predictions:\n",
"['water tower', 'beacon', 'binoculars', 'birdhouse', 'military uniform']\n",
"\n",
"\n"
]
},
{
"data": {
"image/png": 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cTbd9gObniqdp3shwI8RcidtIisIgkertonkixyvkK2VufQCAepVX1C7pXUvz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\nIb8r5J8PeapuTVVl6d73Y4sUqgE7vebbPKVxPw5K/r6RDoX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dFXL/++YKOF8Bmx+5aUzY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\nSUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f03cee3aef0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Actual label: bell pepper\n",
"Top 5 predictions:\n",
"['bell pepper', 'pomegranate', 'bee', 'banana', 'mantis']\n",
"\n",
"\n"
]
},
{
"data": {
"image/png": 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N+vu5YaKnp0fWsTjQRgONmuf5fATwtgTUPHUuj3/xCM9vOEeUE2MEObGG53c9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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f03ceeeb240>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Actual label: Chihuahua\n",
"Top 5 predictions:\n",
"['Chihuahua', 'Persian cat', 'Egyptian cat', 'German shepherd', 'standard poodle']\n",
"\n",
"\n"
]
},
{
"data": {
"image/png": 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ufdJjDADEWhgThpScMrCosSHMRalviuO5ZUv3tbAWAdBWk/0iL9aaoexCqo+U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\nF5cAAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f03f1d65d68>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Actual label: guacamole\n",
"Top 5 predictions:\n",
"['acorn', 'snail', 'pomegranate', 'ladybug', 'slug']\n",
"\n",
"\n"
]
},
{
"data": {
"image/png": 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MMcYYY0wEeONtjDHGGGNMBHjjbYwxxhhjTATUtZqEYY3mLS3cODGRz8uyMpks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\nSZKkHrjwliRJknrwXyAz+Nlz5jNBAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f03f1d5c588>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Actual label: European fire salamander\n",
"Top 5 predictions:\n",
"['European fire salamander', 'chain', 'tailed frog', 'centipede', 'scorpion']\n",
"\n",
"\n"
]
},
{
"data": {
"image/png": 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At0V7yRUPiA+0iXySyFVThGgKmSb2Ye0SMQ6AeeIePI/fs1/8yS9p/rGSW2he95yoL7n0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\nAUovCKuLh9ewAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f03cd99aac8>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Actual label: black stork\n",
"Top 5 predictions:\n",
"['black stork', 'albatross', 'goose', 'crane', 'pole']\n",
"\n",
"\n"
]
},
{
"data": {
"image/png": 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G+/z8e8bQ/IbzLqf5NVfO5e1ZK6bDZSEmoOOELUS8E/BXYS8pF3asvfl3LT+E9x0g7Biz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\nFgIPvM3MzMzMQvBf8QqQ39BRlU4AAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f03cd99a668>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Actual label: freight car\n",
"Top 5 predictions:\n",
"['freight car', 'moving van', 'desk', 'police van', 'dining table']\n",
"\n",
"\n"
]
}
],
"source": [
"N = 10 # number of validation examples to view\n",
"filenames_labels = load_filenames_labels('val')\n",
"pick_N = random.sample(filenames_labels, N)\n",
"imgs = np.zeros((N, 64, 64, 3), dtype=np.uint8)\n",
"labels = []\n",
"for i, filename_label in enumerate(pick_N):\n",
" imgs[i, :, :, :] = scipy.ndimage.imread(filename_label[0], mode='RGB')\n",
" labels.append(class_description[int(filename_label[1])])\n",
"imgs = imgs[:, 4:60, 4:60, :] # take center crop of images\n",
"config = TrainConfig()\n",
"top_5, sal_imgs = predict(imgs, config)\n",
"top_5 = top_5[1] # 2nd element of list are class predictions\n",
"sal_imgs = sal_imgs[0] # 1st element of list are saliency maps\n",
"# root-sum-square RGB channels of generated saliency heat map\n",
"sal_imgs = np.sqrt(np.sum(np.square(sal_imgs), axis=3))\n",
"\n",
"for idx, filename in enumerate(pick_N):\n",
" plt.subplot(121)\n",
" plt.imshow(imgs[idx, :, :, :], interpolation='none')\n",
" # next 5 lines get rid of all white space when saving .png\n",
" plt.gca().set_axis_off()\n",
" plt.subplots_adjust(top = 1, bottom = 0, right = 1, left = 0, \n",
" hspace = 0, wspace = 2)\n",
" plt.margins(0,0)\n",
" plt.gca().xaxis.set_major_locator(plt.NullLocator())\n",
" plt.gca().yaxis.set_major_locator(plt.NullLocator())\n",
" plt.subplot(122)\n",
" plt.imshow(sal_imgs[idx, :, :], interpolation='none')\n",
" # next 5 lines get rid of all white space when saving .png\n",
" plt.gca().set_axis_off()\n",
" plt.subplots_adjust(top = 1, bottom = 0, right = 1, left = 0, \n",
" hspace = 0, wspace = 0.1)\n",
" plt.margins(0,0)\n",
" plt.gca().xaxis.set_major_locator(plt.NullLocator())\n",
" plt.gca().yaxis.set_major_locator(plt.NullLocator())\n",
" plt.savefig('plots/pred_sal'+str(idx)+'.png', bbox_inches='tight',\n",
" pad_inches=0.0, dpi=64)\n",
" plt.show()\n",
" print('Actual label: ' + labels[idx])\n",
" print('Top 5 predictions:')\n",
" preds = map(lambda x: class_description[x], top_5[idx])\n",
" print([x for x in preds])\n",
" print('\\n')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"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": "3.5.2"
}
},
"nbformat": 4,
"nbformat_minor": 1
}
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