{
 "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 2 : First Convolutions\n",
    "\n",
    "Our main steps:\n",
    " - Read dataset\n",
    " - Build a model\n",
    " - Train the model\n",
    " - Model evaluation\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "## 1/ Import and init"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "IDLE 2020 - Practical Work Module\n",
      "  Version            : 0.1.1\n",
      "  Run time           : Monday 6 January 2020, 14:35:14\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 (RGB25)\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",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset loaded, size=742.0 Mo\n",
      "\n",
      "CPU times: user 0 ns, sys: 708 ms, total: 708 ms\n",
      "Wall time: 6.07 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "dataset ='RGB25'\n",
    "img_lx  = 25\n",
    "img_ly  = 25\n",
    "img_lz  = 3\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",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "x_train :  (39209, 25, 25, 3)\n",
      "y_train :  (39209,)\n",
      "x_test  :  (12630, 25, 25, 3)\n",
      "y_test  :  (12630,)\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 864x482.4 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "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",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "batch_size  =  128\n",
    "num_classes =  43\n",
    "epochs      =  5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "conv2d (Conv2D)              (None, 23, 23, 96)        2688      \n",
      "_________________________________________________________________\n",
      "max_pooling2d (MaxPooling2D) (None, 11, 11, 96)        0         \n",
      "_________________________________________________________________\n",
      "conv2d_1 (Conv2D)            (None, 9, 9, 192)         166080    \n",
      "_________________________________________________________________\n",
      "max_pooling2d_1 (MaxPooling2 (None, 4, 4, 192)         0         \n",
      "_________________________________________________________________\n",
      "flatten (Flatten)            (None, 3072)              0         \n",
      "_________________________________________________________________\n",
      "dense (Dense)                (None, 3072)              9440256   \n",
      "_________________________________________________________________\n",
      "dense_1 (Dense)              (None, 500)               1536500   \n",
      "_________________________________________________________________\n",
      "dense_2 (Dense)              (None, 43)                21543     \n",
      "=================================================================\n",
      "Total params: 11,167,067\n",
      "Trainable params: 11,167,067\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "keras.backend.clear_session()\n",
    "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.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(3072, 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/ Run model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 39209 samples, validate on 12630 samples\n",
      "Epoch 1/5\n",
      "39209/39209 [==============================] - 18s 468us/sample - loss: 0.9595 - accuracy: 0.7357 - val_loss: 0.4068 - val_accuracy: 0.9015\n",
      "Epoch 2/5\n",
      "39209/39209 [==============================] - 16s 417us/sample - loss: 0.0876 - accuracy: 0.9770 - val_loss: 0.3472 - val_accuracy: 0.9190\n",
      "Epoch 3/5\n",
      "39209/39209 [==============================] - 16s 409us/sample - loss: 0.0375 - accuracy: 0.9900 - val_loss: 0.2917 - val_accuracy: 0.9363\n",
      "Epoch 4/5\n",
      "39209/39209 [==============================] - 17s 421us/sample - loss: 0.0263 - accuracy: 0.9928 - val_loss: 0.3384 - val_accuracy: 0.9284\n",
      "Epoch 5/5\n",
      "39209/39209 [==============================] - 17s 421us/sample - loss: 0.0237 - accuracy: 0.9929 - val_loss: 0.3022 - val_accuracy: 0.9433\n",
      "CPU times: user 16min 31s, sys: 1min 27s, total: 17min 59s\n",
      "Wall time: 1min 23s\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))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 6/ Evaluation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test loss      : 0.3022\n",
      "Test accuracy  : 0.9433\n"
     ]
    }
   ],
   "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]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "### Results :  \n",
    "```\n",
    "L25   :   size=250 Mo     93.15%  \n",
    "RGB25 :   size=740 Mo     94.33%\n",
    "...\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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