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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"German Traffic Sign Recognition Benchmark (GTSRB)\n",
"=================================================\n",
"---\n",
"Introduction au Deep Learning (IDLE) - S. Aria, E. Maldonado, JL. Parouty - CNRS/SARI/DEVLOG - 2020\n",
"\n",
"## Episode 3 : Tracking and visualizing\n",
"\n",
"Our main steps:\n",
" - Monitoring and understanding our model training\n",
" - Analyze the results \n",
" - Improving our model\n",
" - Add recovery points\n",
"\n",
"\n",
"## 1/ Import and init"
]
},
{
"cell_type": "code",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"IDLE 2020 - Practical Work Module\n",
" Version : 0.1.1\n",
" Matplotlib style : idle/talk.mplstyle\n",
" TensorFlow version : 2.0.0\n",
" Keras version : 2.2.4-tf\n"
]
}
],
"source": [
"import tensorflow as tf\n",
"from tensorflow import keras\n",
"from tensorflow.keras.callbacks import TensorBoard\n",
"\n",
"import numpy as np\n",
"import matplotlib\n",
"import matplotlib.pyplot as plt\n",
"import time\n",
"\n",
"import idle.pwk as ooo\n",
"\n",
"ooo.init()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 2/ Reload dataset\n",
"Dataset is one of the saved dataset: RGB25, RGB35, L25, L35, etc. \n",
"First of all, we're going to use the dataset : **L25** \n",
"(with a GPU, it only takes 35'' compared to more than 5' with a CPU !)"
]
},
{
"cell_type": "code",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Dataset loaded, size=247.6 Mo\n",
"\n",
"CPU times: user 0 ns, sys: 328 ms, total: 328 ms\n",
"Wall time: 342 ms\n"
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],
"source": [
"%%time\n",
"\n",
"dataset ='L25'\n",
"img_lx = 25\n",
"img_ly = 25\n",
"img_lz = 1\n",
"\n",
"# ---- Read dataset\n",
"x_train = np.load('./data/{}/x_train.npy'.format(dataset))\n",
"y_train = np.load('./data/{}/y_train.npy'.format(dataset))\n",
"\n",
"x_test = np.load('./data/{}/x_test.npy'.format(dataset))\n",
"y_test = np.load('./data/{}/y_test.npy'.format(dataset))\n",
"\n",
"# ---- Reshape data\n",
"x_train = x_train.reshape( x_train.shape[0], img_lx, img_ly, img_lz)\n",
"x_test = x_test.reshape( x_test.shape[0], img_lx, img_ly, img_lz)\n",
"\n",
"input_shape = (img_lx, img_ly, img_lz)\n",
"\n",
"print(\"Dataset loaded, size={:.1f} Mo\\n\".format(ooo.get_directory_size('./data/'+dataset)))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 3/ Have a look to the dataset\n",
"Note: Data must be reshape for matplotlib"
]
},
{
"cell_type": "code",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"x_train : (39209, 25, 25, 1)\n",
"y_train : (39209,)\n",
"x_test : (12630, 25, 25, 1)\n",
"y_test : (12630,)\n"
]
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 864x169.2 with 6 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
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"text/plain": [
"<Figure size 864x291.6 with 36 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"print(\"x_train : \", x_train.shape)\n",
"print(\"y_train : \", y_train.shape)\n",
"print(\"x_test : \", x_test.shape)\n",
"print(\"y_test : \", y_test.shape)\n",
"\n",
"if img_lz>1:\n",
" ooo.plot_images(x_train.reshape(-1,img_lx,img_ly,img_lz), y_train, range(6), columns=3, x_size=4, y_size=3)\n",
" ooo.plot_images(x_train.reshape(-1,img_lx,img_ly,img_lz), y_train, range(36), columns=12, x_size=1, y_size=1)\n",
"else:\n",
" ooo.plot_images(x_train.reshape(-1,img_lx,img_ly), y_train, range(6), columns=6, x_size=2, y_size=2)\n",
" ooo.plot_images(x_train.reshape(-1,img_lx,img_ly), y_train, range(36), columns=12, x_size=1, y_size=1)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 4/ Create model"
]
},
{
"cell_type": "code",
"metadata": {},
"outputs": [],
"source": [
"num_classes = 43\n",
"epochs = 5"
]
},
{
"cell_type": "code",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"_________________________________________________________________\n",
"Layer (type) Output Shape Param # \n",
"=================================================================\n",
"_________________________________________________________________\n",
"_________________________________________________________________\n",
"_________________________________________________________________\n",
"_________________________________________________________________\n",
"_________________________________________________________________\n",
"_________________________________________________________________\n",
"=================================================================\n",
"Total params: 6,985,403\n",
"Trainable params: 6,985,403\n",
"Non-trainable params: 0\n",
"_________________________________________________________________\n"
]
}
],
"source": [
"model = keras.models.Sequential()\n",
"model.add( keras.layers.Conv2D(96, (3,3), activation='relu', input_shape=(img_lx, img_ly, img_lz)))\n",
"model.add( keras.layers.MaxPooling2D((2, 2)))\n",
"model.add( keras.layers.MaxPooling2D((2, 2)))\n",
"# model.add( keras.layers.Conv2D(192, (3, 3), activation='relu'))\n",
"# model.add( keras.layers.MaxPooling2D((2, 2)))\n",
"model.add( keras.layers.Flatten()) \n",
"model.add( keras.layers.Dense(2400, activation='relu'))\n",
"# model.add( keras.layers.Dense(500, activation='relu'))\n",
"model.add( keras.layers.Dense(500, activation='relu'))\n",
"model.add( keras.layers.Dense(43, activation='softmax'))\n",
"model.summary()\n",
"\n",
"model.compile(optimizer='adam',\n",
" loss='sparse_categorical_crossentropy',\n",
" metrics=['accuracy'])\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 5/ Add callbacks\n",
"Nous allons ajouter 2 callbacks : \n",
" - **TensorBoard** \n",
"Training logs, which can be visualised with Tensorboard. \n",
"`#tensorboard --logdir ./run/logs` \n",
" - model backup"
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {},
"outputs": [],
"source": [
"# reload(ooo)\n",
"# ---- Callback for tensorboard\n",
"log_dir=\"./run/logs/\" + ooo.tag_now()\n",
"tensorboard_callback = tf.keras.callbacks.TensorBoard(log_dir=log_dir)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 5/ Run model"
]
},
{
"cell_type": "code",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Train on 39209 samples, validate on 12630 samples\n",
"Epoch 1/5\n",
"39209/39209 [==============================] - 23s 586us/sample - loss: 1.4107 - accuracy: 0.6116 - val_loss: 0.7740 - val_accuracy: 0.8112\n",
"39209/39209 [==============================] - 25s 632us/sample - loss: 0.3571 - accuracy: 0.8982 - val_loss: 0.6292 - val_accuracy: 0.8446\n",
"39209/39209 [==============================] - 25s 643us/sample - loss: 0.1988 - accuracy: 0.9445 - val_loss: 0.5845 - val_accuracy: 0.8658\n",
"39209/39209 [==============================] - 25s 644us/sample - loss: 0.1316 - accuracy: 0.9641 - val_loss: 0.5571 - val_accuracy: 0.8779\n",
"39209/39209 [==============================] - 28s 704us/sample - loss: 0.1001 - accuracy: 0.9724 - val_loss: 0.5844 - val_accuracy: 0.8629\n",
"CPU times: user 12min 44s, sys: 39.9 s, total: 13min 24s\n",
"Wall time: 2min 5s\n"
]
}
],
"source": [
"%%time\n",
"\n",
"history = model.fit( x_train, y_train,\n",
" batch_size=batch_size,\n",
" epochs=epochs,\n",
" verbose=1,\n",
" validation_data=(x_test, y_test),\n",
" callbacks=[tensorboard_callback] )"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 6/ Evaluation"
]
},
{
"cell_type": "code",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
]
}
],
"source": [
"score = model.evaluate(x_test, y_test, verbose=0)\n",
"\n",
"print('Test loss : {:5.4f}'.format(score[0]))\n",
"print('Test accuracy : {:5.4f}'.format(score[1]))"
]
},
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{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 7/ History\n",
"The return of model.fit() returns us the learning history"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<Figure size 576x432 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 576x432 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"ooo.plot_history(history)"
]
},
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{
"cell_type": "markdown",
"metadata": {},
"source": [
"---\n",
"### Results : \n",
"L25 : size=250 Mo, 93.15% \n",
"..."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"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": "3.7.5"
}
},
"nbformat": 4,
"nbformat_minor": 4
}