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{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
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    "German Traffic Sign Recognition Benchmark (GTSRB)\n",
    "=================================================\n",
    "---\n",
    "Introduction au Deep Learning  (IDLE) - S. Arias, E. Maldonado, JL. Parouty - CNRS/SARI/DEVLOG - 2020  \n",
    "Vesion : 1.2.1\n",
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    "\n",
    "## Episode 2 : First Convolutions\n",
    "\n",
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    "Our main steps:\n",
    " - Read H5 dataset\n",
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    " - Build a model\n",
    " - Train the model\n",
    " - Evaluate the model\n",
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    "\n",
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    "## 1/ Import and init"
   ]
  },
  {
   "cell_type": "code",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "IDLE 2020 - Practical Work Module\n",
      "  Version            : 0.1.4\n",
      "  Run time           : Thursday 16 January 2020, 16:26:01\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.pyplot as plt\n",
    "import h5py\n",
    "import os,time\n",
    "\n",
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    "import idle.pwk as ooo\n",
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    "from importlib import reload\n",
    "\n",
    "ooo.init()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2/ Load dataset\n",
    "We're going to retrieve a previously recorded dataset.  \n",
    "For example: set-24x24-L"
   ]
  },
  {
   "cell_type": "code",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset \"set-24x24-L\" is loaded. (228.8 Mo)\n",
      "\n",
      "CPU times: user 0 ns, sys: 344 ms, total: 344 ms\n",
      "Wall time: 463 ms\n"
   "source": [
    "%%time\n",
    "\n",
    "def read_dataset(name):\n",
    "    '''Reads h5 dataset from ./data\n",
    "\n",
    "    Arguments:  dataset name, without .h5\n",
    "    Returns:    x_train,y_train,x_test,y_test data'''\n",
    "    # ---- Read dataset\n",
    "    filename='./data/'+name+'.h5'\n",
    "    with  h5py.File(filename) as f:\n",
    "        x_train = f['x_train'][:]\n",
    "        y_train = f['y_train'][:]\n",
    "        x_test  = f['x_test'][:]\n",
    "        y_test  = f['y_test'][:]\n",
    "    # ---- done\n",
    "    print('Dataset \"{}\" is loaded. ({:.1f} Mo)\\n'.format(name,os.path.getsize(filename)/(1024*1024)))\n",
    "    return x_train,y_train,x_test,y_test\n",
    "\n",
    "x_train,y_train,x_test,y_test = read_dataset('set-24x24-L')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
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    "## 3/ Have a look to the dataset\n",
    "We take a quick look as we go by..."
   ]
  },
  {
   "cell_type": "code",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "x_train :  (39209, 24, 24, 1)\n",
      "x_test  :  (12630, 24, 24, 1)\n",
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x338.4 with 12 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": [
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    "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",
    "ooo.plot_images(x_train, y_train, range(12), columns=6,  x_size=2, y_size=2)\n",
    "ooo.plot_images(x_train, y_train, range(36), columns=12, x_size=1, y_size=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4/ Create model\n",
    "We will now build a model and train it...\n",
  {
   "cell_type": "code",
   "metadata": {},
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   "outputs": [],
   "source": [
    "# A basic model\n",
    "#\n",
    "def get_model_v1(lx,ly,lz):\n",
    "    \n",
    "    model = keras.models.Sequential()\n",
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    "    \n",
    "    model.add( keras.layers.Conv2D(96, (3,3), activation='relu', input_shape=(lx,ly,lz)))\n",
    "    model.add( keras.layers.MaxPooling2D((2, 2)))\n",
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    "    model.add( keras.layers.Dropout(0.2))\n",
    "\n",
    "    model.add( keras.layers.Conv2D(192, (3, 3), activation='relu'))\n",
    "    model.add( keras.layers.MaxPooling2D((2, 2)))\n",
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    "    model.add( keras.layers.Dropout(0.2))\n",
    "\n",
    "    model.add( keras.layers.Flatten()) \n",
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    "    model.add( keras.layers.Dense(1500, activation='relu'))\n",
    "    model.add( keras.layers.Dropout(0.5))\n",
    "\n",
    "    model.add( keras.layers.Dense(43, activation='softmax'))\n",
    "    return model\n",
    "    \n",
    "# A more sophisticated model\n",
    "#\n",
    "def get_model_v2(lx,ly,lz):\n",
    "    model = keras.models.Sequential()\n",
    "\n",
    "    model.add( keras.layers.Conv2D(64, (3, 3), padding='same', input_shape=(lx,ly,lz), activation='relu'))\n",
    "    model.add( keras.layers.Conv2D(64, (3, 3), activation='relu'))\n",
    "    model.add( keras.layers.MaxPooling2D(pool_size=(2, 2)))\n",
    "    model.add( keras.layers.Dropout(0.2))\n",
    "\n",
    "    model.add( keras.layers.Conv2D(128, (3, 3), padding='same', activation='relu'))\n",
    "    model.add( keras.layers.Conv2D(128, (3, 3), activation='relu'))\n",
    "    model.add( keras.layers.MaxPooling2D(pool_size=(2, 2)))\n",
    "    model.add( keras.layers.Dropout(0.2))\n",
    "\n",
    "    model.add( keras.layers.Conv2D(256, (3, 3), padding='same',activation='relu'))\n",
    "    model.add( keras.layers.Conv2D(256, (3, 3), activation='relu'))\n",
    "    model.add( keras.layers.MaxPooling2D(pool_size=(2, 2)))\n",
    "    model.add( keras.layers.Dropout(0.2))\n",
    "\n",
    "    model.add( keras.layers.Flatten())\n",
    "    model.add( keras.layers.Dense(512, activation='relu'))\n",
    "    model.add( keras.layers.Dropout(0.5))\n",
    "    model.add( keras.layers.Dense(43, activation='softmax'))\n",
    "    return model\n",
    "\n",
    "# My sphisticated model, but small and fast\n",
    "#\n",
    "def get_model_v3(lx,ly,lz):\n",
    "    model = keras.models.Sequential()\n",
    "    model.add( keras.layers.Conv2D(32, (3,3),   activation='relu', input_shape=(lx,ly,lz)))\n",
    "    model.add( keras.layers.MaxPooling2D((2, 2)))\n",
    "    model.add( keras.layers.Dropout(0.5))\n",
    "    model.add( keras.layers.Conv2D(64, (3, 3), activation='relu'))\n",
    "    model.add( keras.layers.MaxPooling2D((2, 2)))\n",
    "    model.add( keras.layers.Dropout(0.5))\n",
    "    model.add( keras.layers.Conv2D(128, (3, 3), activation='relu'))\n",
    "    model.add( keras.layers.MaxPooling2D((2, 2)))\n",
    "    model.add( keras.layers.Dropout(0.5))\n",
    "    model.add( keras.layers.Conv2D(256, (3, 3), activation='relu'))\n",
    "    model.add( keras.layers.MaxPooling2D((2, 2)))\n",
    "    model.add( keras.layers.Dropout(0.5))\n",
    "    model.add( keras.layers.Flatten()) \n",
    "    model.add( keras.layers.Dense(1152, activation='relu'))\n",
    "    model.add( keras.layers.Dropout(0.5))\n",
    "\n",
    "    model.add( keras.layers.Dense(43, activation='softmax'))\n",
    "    return model\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5/ Train the model\n",
    "**Get the shape of my data :**"
   ]
  },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Images of the dataset have this folowing shape :  (24, 24, 1)\n"
     ]
    }
   ],
    "(n,lx,ly,lz) = x_train.shape\n",
    "print(\"Images of the dataset have this folowing shape : \",(lx,ly,lz))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Get and compile a model, with the data shape :**"
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential_1\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "conv2d_2 (Conv2D)            (None, 22, 22, 96)        960       \n",
      "_________________________________________________________________\n",
      "max_pooling2d_2 (MaxPooling2 (None, 11, 11, 96)        0         \n",
      "_________________________________________________________________\n",
      "dropout_3 (Dropout)          (None, 11, 11, 96)        0         \n",
      "_________________________________________________________________\n",
      "conv2d_3 (Conv2D)            (None, 9, 9, 192)         166080    \n",
      "_________________________________________________________________\n",
      "max_pooling2d_3 (MaxPooling2 (None, 4, 4, 192)         0         \n",
      "_________________________________________________________________\n",
      "dropout_4 (Dropout)          (None, 4, 4, 192)         0         \n",
      "_________________________________________________________________\n",
      "flatten_1 (Flatten)          (None, 3072)              0         \n",
      "_________________________________________________________________\n",
      "dense_2 (Dense)              (None, 1500)              4609500   \n",
      "_________________________________________________________________\n",
      "dropout_5 (Dropout)          (None, 1500)              0         \n",
      "_________________________________________________________________\n",
      "dense_3 (Dense)              (None, 43)                64543     \n",
      "=================================================================\n",
      "Total params: 4,841,083\n",
      "Trainable params: 4,841,083\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model = get_model_v1(lx,ly,lz)\n",
    "\n",
    "model.summary()\n",
    "model.compile(optimizer='adam',\n",
    "              loss='sparse_categorical_crossentropy',\n",
    "              metrics=['accuracy'])"
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
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   ]
  },
  {
   "cell_type": "code",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 2000 samples, validate on 12630 samples\n",
      "Epoch 1/5\n",
      "2000/2000 [==============================] - 3s 2ms/sample - loss: 3.5544 - accuracy: 0.0640 - val_loss: 3.4370 - val_accuracy: 0.0924\n",
      "Epoch 2/5\n",
      "2000/2000 [==============================] - 2s 900us/sample - loss: 3.3254 - accuracy: 0.1140 - val_loss: 3.1923 - val_accuracy: 0.1568\n",
      "Epoch 3/5\n",
      "2000/2000 [==============================] - 2s 903us/sample - loss: 2.8077 - accuracy: 0.2880 - val_loss: 2.5395 - val_accuracy: 0.3308\n",
      "Epoch 4/5\n",
      "2000/2000 [==============================] - 2s 880us/sample - loss: 2.1190 - accuracy: 0.4425 - val_loss: 1.8869 - val_accuracy: 0.5202\n",
      "Epoch 5/5\n",
      "2000/2000 [==============================] - 2s 909us/sample - loss: 1.5545 - accuracy: 0.5655 - val_loss: 1.5202 - val_accuracy: 0.5954\n",
      "CPU times: user 2min 27s, sys: 14.4 s, total: 2min 41s\n",
      "Wall time: 10.9 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "batch_size = 64\n",
    "epochs     = 5\n",
    "\n",
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    "# ---- Shuffle train data\n",
    "x_train,y_train=ooo.shuffle_np_dataset(x_train,y_train)\n",
    "\n",
    "# ---- Train\n",
    "history = model.fit(  x_train[:2000], y_train[:2000],\n",
    "                      batch_size=batch_size,\n",
    "                      epochs=epochs,\n",
    "                      verbose=1,\n",
    "                      validation_data=(x_test, y_test))"
   ]
  },
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
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   ]
  },
  {
   "cell_type": "code",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Max validation accuracy is : 0.5954\n"
     ]
    }
   ],
   "source": [
    "max_val_accuracy = max(history.history[\"val_accuracy\"])\n",
    "print(\"Max validation accuracy is : {:.4f}\".format(max_val_accuracy))"
   ]
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test loss      : 1.5202\n",
      "Test accuracy  : 0.5954\n"
     ]
    }
   ],
   "source": [
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    "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": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 6/ Multiple datasets, multiple models ;-)"
   "execution_count": null,
    "batch_size = 64\n",
    "epochs     = 16\n",
    "\n",
    "datasets = ['set-24x24-L', 'set-24x24-RGB', 'set-48x48-L', 'set-48x48-RGB', 'set-24x24-L-LHE', 'set-24x24-RGB-HE', 'set-48x48-L-LHE', 'set-48x48-RGB-HE']\n",
    "models   = {'v1':get_model_v1, 'v2':get_model_v2, 'v3':get_model_v3}\n",
    "# datasets = ['set-24x24-L', 'set-24x24-RGB']\n",
    "# models   = {'v1':get_model_v1, 'v3':get_model_v3}\n",
    "\n",
    "report=[]\n",
    "head=['Datasets', 'Size']\n",
    "head.extend( [ 'Model : {} '.format(i) for i in models.keys()] )\n",
    "report.append('|'+'|'.join(head)+'|')\n",
    "report.append('|:-----:'*len(head)+'|')\n",
    "\n",
    "for dname in datasets:\n",
    "    print()\n",
    "    # ---- Read dataset\n",
    "    x_train,y_train,x_test,y_test = read_dataset(dname)\n",
    "    dsize=os.path.getsize('./data/'+dname+'.h5')/(1024*1024)\n",
    "    \n",
    "    # ---- Get the shape\n",
    "    (n,lx,ly,lz) = x_train.shape\n",
    "\n",
    "    # ---- For each model\n",
    "    accuracy={}\n",
    "    duration={}\n",
    "    for kmodel,fmodel in models.items():\n",
    "        print(\"    Run model : {}  : \".format(kmodel), end='')\n",
    "        # ---- get model\n",
    "        try:\n",
    "            model=fmodel(lx,ly,lz)\n",
    "            # ---- Compile it\n",
    "            model.compile(optimizer='adam', loss='sparse_categorical_crossentropy', metrics=['accuracy'])\n",
    "            # ---- Train\n",
    "            start_time = time.time()\n",
    "            history = model.fit(  x_train, y_train,\n",
    "                                batch_size=batch_size,\n",
    "                                epochs=epochs,\n",
    "                                verbose=0,\n",
    "                                validation_data=(x_test, y_test))\n",
    "            # ---- Result\n",
    "            end_time= time.time()\n",
    "            accuracy[kmodel] = '{:6.2f}%'.format(100*max(history.history[\"val_accuracy\"]))\n",
    "            duration[kmodel] = '{:6.2f}s'.format( (end_time-start_time) )\n",
    "            print(\"Done with : {} in {}\".format(accuracy[kmodel],duration[kmodel]))\n",
    "        except:\n",
    "            accuracy[kmodel] = '  -   '\n",
    "            duration[kmodel] = '  -   '\n",
    "            print('Cannot be use..')\n",
    "    # ---- Output\n",
    "    results='|'.join( [ ' {} {} '.format(accuracy[i], duration[i]) for i in accuracy.keys()] )\n",
    "    report.append( '| {:24s} | {:12.0f} Mo | {} |'.format(dname, dsize, results ) )\n",
    "\n",
    "print('\\n\\nFinal report is :\\n')\n",
    "print('\\n'.join(report))"
   ]
  },
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Some results :  \n",
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   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "|         Datasets         |       Size      |     Model : v1     |    Model : v2      |     Model : v3     |\n",
    "|:------------------------:|:---------------:|:------------------:|:------------------:|:------------------:|\n",
    "| set-24x24-L              |          229 Mo |   95.91%  75.04s   |   96.86% 102.28s   |   -      -         |\n",
    "| set-24x24-RGB            |          684 Mo |   96.60%  77.24s   |   97.32% 103.93s   |   -      -         |\n",
    "| set-48x48-L              |          914 Mo | **96.71%** 123.94s |   97.68% 149.57s   |  97.60%  91.53s    |\n",
    "| set-48x48-RGB            |         2736 Mo |   96.36% 117.74s   | **98.20%** 142.63s |  97.28%  91.29s    |\n",
    "| set-24x24-L-LHE          |          229 Mo |   95.95%  66.12s   |   96.75%  89.45s   |   -      -         |\n",
    "| set-24x24-RGB-HE         |          684 Mo |   95.30%  68.89s   |   96.28%  92.15s   |   -      -         |\n",
    "| set-48x48-L-LHE          |          914 Mo |   96.69% 109.28s   |   97.94% 135.17s   | **97.97%** 83.80s  |\n",
    "| set-48x48-RGB-HE         |         2736 Mo |   95.29% 117.70s   | **98.13%** 141.56s |  97.00%  89.38s    |"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "         Dataset  Size  v1 Accuracy  v1 Duration\n",
      "0    set-24x24-L   229        95.91        75.04\n",
      "1  set-24x24-RGB   684        96.60        77.24\n",
      "2    set-48x48-L   914        96.71       123.94\n"
     ]
    }
   ],
   "source": [
    "data = {'Dataset':  ['set-24x24-L', 'set-24x24-RGB', 'set-48x48-L'],\n",
    "        'Size': [229,684,914],\n",
    "        'v1 Accuracy': [95.91, 96.60, 96.71],\n",
    "        'v1 Duration': [75.04, 77.24, 123.94]\n",
    "        }\n",
    "df = pd.DataFrame (data)\n",
    "print(df)\n",
    "\n",
    "# A faire : pretty print, ajout multi_run dans pwk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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