Format: application/octet-stream
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   1  {
   2   "cells": [
   3    {
   4     "cell_type": "code",
   5     "execution_count": 1,
   6     "id": "e37789ff",
   7     "metadata": {},
   8     "outputs": [],
   9     "source": [
  10      "import matplotlib.pyplot as plt\n",
  11      "from bs4 import BeautifulSoup\n",
  12      "import numpy as np \n",
  13      "import pandas as pd\n",
  14      "import os\n",
  15      "from time import perf_counter\n",
  16      "import cv2\n",
  17      "import tensorflow as tf\n",
  18      "from random import randint "
  19     ]
  20    },
  21    {
  22     "cell_type": "code",
  23     "execution_count": 2,
  24     "id": "4f0f6e16",
  25     "metadata": {},
  26     "outputs": [],
  27     "source": [
  28      "images_path= 'data/images'\n",
  29      "anno_path= 'data/annotations'\n",
  30      "size=128"
  31     ]
  32    },
  33    {
  34     "cell_type": "code",
  35     "execution_count": 3,
  36     "id": "a8bfd197",
  37     "metadata": {},
  38     "outputs": [
  39      {
  40       "name": "stdout",
  41       "output_type": "stream",
  42       "text": [
  43        "(350, 590, 3)\n"
  44       ]
  45      },
  46      {
  47       "data": {
  48        "text/plain": [
  49         "<matplotlib.image.AxesImage at 0x1a1777ba3a0>"
  50        ]
  51       },
  52       "execution_count": 3,
  53       "metadata": {},
  54       "output_type": "execute_result"
  55      },
  56      {
  57       "data": {
  58        "image/png": 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\n",
  59        "text/plain": [
  60         "<Figure size 432x288 with 1 Axes>"
  61        ]
  62       },
  63       "metadata": {
  64        "needs_background": "light"
  65       },
  66       "output_type": "display_data"
  67      }
  68     ],
  69     "source": [
  70      "img= plt.imread(f'data/images/Cars{randint(0,400)}.png')\n",
  71      "print(img.shape)\n",
  72      "plt.imshow(img)"
  73     ]
  74    },
  75    {
  76     "cell_type": "code",
  77     "execution_count": null,
  78     "id": "f812021c",
  79     "metadata": {},
  80     "outputs": [],
  81     "source": []
  82    },
  83    {
  84     "cell_type": "code",
  85     "execution_count": null,
  86     "id": "07b66c3c",
  87     "metadata": {},
  88     "outputs": [],
  89     "source": []
  90    },
  91    {
  92     "cell_type": "code",
  93     "execution_count": 4,
  94     "id": "bca3feab",
  95     "metadata": {},
  96     "outputs": [],
  97     "source": [
  98      "def get_data(imgDir, annoDir, size=size):\n",
  99      "    start= perf_counter()\n",
 100      "    df={\n",
 101      "    'image':[],\n",
 102      "    'box':[]\n",
 103      "    }\n",
 104      "    images= os.listdir(images_path)   #read file names in directory\n",
 105      "    for image in images:\n",
 106      "        plate= annoDir+'/'+image[:-3]+'xml'    \n",
 107      "        image= imgDir+'/'+image\n",
 108      "        img2= plt.imread( image ) \n",
 109      "        img2= cv2.cvtColor( img2, cv2.COLOR_BGR2GRAY)\n",
 110      "        #img2= img2[:,:,0:3] #remove 4th axis from image  if not gray                         \n",
 111      "        \n",
 112      "       \n",
 113      "        \n",
 114      "        #img=cv2.resize(img, (int(size), int(size)))\n",
 115      "        \n",
 116      "        with open( plate, 'r') as f:\n",
 117      "            data= f.read()\n",
 118      "        \n",
 119      "        Bs = BeautifulSoup(data, \"xml\")\n",
 120      "        xmax = int (Bs.find('ymax').text)\n",
 121      "        xmin = int (Bs.find('ymin').text)\n",
 122      "        ymax = int (Bs.find('xmax').text)\n",
 123      "        ymin = int (Bs.find('xmin').text)\n",
 124      " \n",
 125      "        #\n",
 126      "        df['image'].append( cv2.resize(img2, (size,size) ) )\n",
 127      "        #print(xmin,ymin, xmax, ymax)\n",
 128      "        img2= cv2.rectangle(img2,(ymin,xmin), (ymax,xmax), 10,0)\n",
 129      "        \n",
 130      "        \n",
 131      "        df['box'].append(cv2.resize(img2,(size,size)))\n",
 132      "        \n",
 133      "    print(perf_counter()-start)\n",
 134      "    return df"
 135     ]
 136    },
 137    {
 138     "cell_type": "code",
 139     "execution_count": null,
 140     "id": "0cfa8705",
 141     "metadata": {},
 142     "outputs": [],
 143     "source": []
 144    },
 145    {
 146     "cell_type": "code",
 147     "execution_count": 5,
 148     "id": "e5f809a1",
 149     "metadata": {},
 150     "outputs": [
 151      {
 152       "name": "stdout",
 153       "output_type": "stream",
 154       "text": [
 155        "10.631404699999997\n"
 156       ]
 157      }
 158     ],
 159     "source": [
 160      "df=get_data(images_path, anno_path)\n"
 161     ]
 162    },
 163    {
 164     "cell_type": "code",
 165     "execution_count": 6,
 166     "id": "f49a1309",
 167     "metadata": {},
 168     "outputs": [
 169      {
 170       "data": {
 171        "text/plain": [
 172         "<matplotlib.image.AxesImage at 0x1a177b27910>"
 173        ]
 174       },
 175       "execution_count": 6,
 176       "metadata": {},
 177       "output_type": "execute_result"
 178      },
 179      {
 180       "data": {
 181        "image/png": 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\n",
 182        "text/plain": [
 183         "<Figure size 432x288 with 1 Axes>"
 184        ]
 185       },
 186       "metadata": {
 187        "needs_background": "light"
 188       },
 189       "output_type": "display_data"
 190      }
 191     ],
 192     "source": [
 193      "plt.imshow(df['box'][125])"
 194     ]
 195    },
 196    {
 197     "cell_type": "code",
 198     "execution_count": null,
 199     "id": "6e063282",
 200     "metadata": {},
 201     "outputs": [],
 202     "source": []
 203    },
 204    {
 205     "cell_type": "code",
 206     "execution_count": null,
 207     "id": "c03b33ee",
 208     "metadata": {},
 209     "outputs": [],
 210     "source": []
 211    },
 212    {
 213     "cell_type": "code",
 214     "execution_count": null,
 215     "id": "cb4a6633",
 216     "metadata": {},
 217     "outputs": [],
 218     "source": []
 219    },
 220    {
 221     "cell_type": "code",
 222     "execution_count": null,
 223     "id": "5d7f36ef",
 224     "metadata": {},
 225     "outputs": [],
 226     "source": []
 227    },
 228    {
 229     "cell_type": "code",
 230     "execution_count": 10,
 231     "id": "263b9ef2",
 232     "metadata": {},
 233     "outputs": [],
 234     "source": []
 235    },
 236    {
 237     "cell_type": "code",
 238     "execution_count": 46,
 239     "id": "746ad238",
 240     "metadata": {},
 241     "outputs": [],
 242     "source": [
 243      "dff=pd.DataFrame(df)\n",
 244      "x_train= np.array(dff.image[:300].values.tolist()).astype('float32').reshape(300,size,size,1)\n",
 245      "y_train= np.array(dff.box[:300].values.tolist()).astype('float32').reshape(300,size,size,1)\n",
 246      "x_test=  np.array(dff.box[300:].values.tolist()).astype('float32').reshape(300,size,size,1)\n",
 247      "y_test=  np.array(dff.box[300:].values.tolist()).astype('float32').reshape(300,size,size,1)\n",
 248      "del dff"
 249     ]
 250    },
 251    {
 252     "cell_type": "code",
 253     "execution_count": null,
 254     "id": "69185862",
 255     "metadata": {},
 256     "outputs": [],
 257     "source": []
 258    },
 259    {
 260     "cell_type": "code",
 261     "execution_count": null,
 262     "id": "f3b4f7dd",
 263     "metadata": {},
 264     "outputs": [],
 265     "source": []
 266    },
 267    {
 268     "cell_type": "code",
 269     "execution_count": null,
 270     "id": "147a7d6c",
 271     "metadata": {},
 272     "outputs": [],
 273     "source": []
 274    },
 275    {
 276     "cell_type": "code",
 277     "execution_count": 13,
 278     "id": "d90d8ba8",
 279     "metadata": {},
 280     "outputs": [],
 281     "source": [
 282      "import tensorflow as tf\n",
 283      "from tensorflow.keras.models import Sequential\n",
 284      "from tensorflow.keras.layers import Conv2D, MaxPool2D, Dropout, BatchNormalization, Activation, Conv2DTranspose, concatenate"
 285     ]
 286    },
 287    {
 288     "cell_type": "code",
 289     "execution_count": null,
 290     "id": "25c49cbd",
 291     "metadata": {},
 292     "outputs": [],
 293     "source": []
 294    },
 295    {
 296     "cell_type": "code",
 297     "execution_count": 30,
 298     "id": "4da4c398",
 299     "metadata": {},
 300     "outputs": [],
 301     "source": [
 302      "def model(InputImage,dropout=0.05):\n",
 303      "    \n",
 304      "    \n",
 305      "    ################Encoder###########making image smaller(making convnets)\n",
 306      "    c1=Conv2D( 16, (3,3),kernel_initializer = 'he_normal', padding='same')(InputImage)\n",
 307      "    c1=BatchNormalization()(c1)\n",
 308      "    c2=Activation('relu')(c1)\n",
 309      "    p1=MaxPool2D((2,2))(c1)\n",
 310      "    p1=Dropout(dropout)(p1)\n",
 311      "    \n",
 312      "    c2=Conv2D( 32, (3,3),kernel_initializer = 'he_normal', padding='same')(p1)\n",
 313      "    c2=BatchNormalization()(c2)\n",
 314      "    c2=Activation('relu')(c2)\n",
 315      "    p2=MaxPool2D( (2,2) )(c2)\n",
 316      "    p2=Dropout(dropout)(p2)\n",
 317      "    \n",
 318      "    c3=Conv2D( 64, (3,3),kernel_initializer = 'he_normal', padding='same')(p2)\n",
 319      "    c3=BatchNormalization()(c3)\n",
 320      "    c3=Activation('relu')(c3)\n",
 321      "    \n",
 322      "    \n",
 323      "    ################Decoder###########making small image big(img from convnets)\n",
 324      "    \n",
 325      "    u1= Conv2DTranspose(32,(3,3), strides=(2,2), padding='same')(c3)\n",
 326      "    u1= concatenate([u1,c2])\n",
 327      "    u1= Dropout(dropout)(u1)\n",
 328      "    c6=Conv2D( 32, (3,3), padding='same')(u1)\n",
 329      "    c6=BatchNormalization()(c6)\n",
 330      "    c6=Activation('relu')(c6)\n",
 331      "    \n",
 332      "    \n",
 333      "    u2= Conv2DTranspose(16,(3,3), strides=(2,2), padding='same')(c6)\n",
 334      "    u2= concatenate([u2,c1])\n",
 335      "    u2= Dropout(dropout)(u2)\n",
 336      "    c7=Conv2D( 16, (3,3), padding='same')(u2)\n",
 337      "    c7=BatchNormalization()(c7)\n",
 338      "    c7=Activation('relu')(c7)\n",
 339      "    \n",
 340      "    output = Conv2D(3,(1,1), activation='sigmoid')(c7)\n",
 341      "    \n",
 342      "    m= tf.keras.Model([InputImage], [output])\n",
 343      "    return m\n"
 344     ]
 345    },
 346    {
 347     "cell_type": "code",
 348     "execution_count": 31,
 349     "id": "eb12e015",
 350     "metadata": {},
 351     "outputs": [],
 352     "source": [
 353      "inputs= tf.keras.layers.Input((size,size,1))"
 354     ]
 355    },
 356    {
 357     "cell_type": "code",
 358     "execution_count": 32,
 359     "id": "79fe3346",
 360     "metadata": {},
 361     "outputs": [],
 362     "source": [
 363      "my= model(inputs)"
 364     ]
 365    },
 366    {
 367     "cell_type": "code",
 368     "execution_count": 33,
 369     "id": "fa22d1fd",
 370     "metadata": {},
 371     "outputs": [
 372      {
 373       "name": "stdout",
 374       "output_type": "stream",
 375       "text": [
 376        "Model: \"functional_5\"\n",
 377        "__________________________________________________________________________________________________\n",
 378        "Layer (type)                    Output Shape         Param #     Connected to                     \n",
 379        "==================================================================================================\n",
 380        "input_3 (InputLayer)            [(None, 128, 128, 3) 0                                            \n",
 381        "__________________________________________________________________________________________________\n",
 382        "conv2d_12 (Conv2D)              (None, 128, 128, 16) 448         input_3[0][0]                    \n",
 383        "__________________________________________________________________________________________________\n",
 384        "batch_normalization_10 (BatchNo (None, 128, 128, 16) 64          conv2d_12[0][0]                  \n",
 385        "__________________________________________________________________________________________________\n",
 386        "max_pooling2d_4 (MaxPooling2D)  (None, 64, 64, 16)   0           batch_normalization_10[0][0]     \n",
 387        "__________________________________________________________________________________________________\n",
 388        "dropout_8 (Dropout)             (None, 64, 64, 16)   0           max_pooling2d_4[0][0]            \n",
 389        "__________________________________________________________________________________________________\n",
 390        "conv2d_13 (Conv2D)              (None, 64, 64, 32)   4640        dropout_8[0][0]                  \n",
 391        "__________________________________________________________________________________________________\n",
 392        "batch_normalization_11 (BatchNo (None, 64, 64, 32)   128         conv2d_13[0][0]                  \n",
 393        "__________________________________________________________________________________________________\n",
 394        "activation_11 (Activation)      (None, 64, 64, 32)   0           batch_normalization_11[0][0]     \n",
 395        "__________________________________________________________________________________________________\n",
 396        "max_pooling2d_5 (MaxPooling2D)  (None, 32, 32, 32)   0           activation_11[0][0]              \n",
 397        "__________________________________________________________________________________________________\n",
 398        "dropout_9 (Dropout)             (None, 32, 32, 32)   0           max_pooling2d_5[0][0]            \n",
 399        "__________________________________________________________________________________________________\n",
 400        "conv2d_14 (Conv2D)              (None, 32, 32, 64)   18496       dropout_9[0][0]                  \n",
 401        "__________________________________________________________________________________________________\n",
 402        "batch_normalization_12 (BatchNo (None, 32, 32, 64)   256         conv2d_14[0][0]                  \n",
 403        "__________________________________________________________________________________________________\n",
 404        "activation_12 (Activation)      (None, 32, 32, 64)   0           batch_normalization_12[0][0]     \n",
 405        "__________________________________________________________________________________________________\n",
 406        "conv2d_transpose_4 (Conv2DTrans (None, 64, 64, 32)   18464       activation_12[0][0]              \n",
 407        "__________________________________________________________________________________________________\n",
 408        "concatenate_4 (Concatenate)     (None, 64, 64, 64)   0           conv2d_transpose_4[0][0]         \n",
 409        "                                                                 activation_11[0][0]              \n",
 410        "__________________________________________________________________________________________________\n",
 411        "dropout_10 (Dropout)            (None, 64, 64, 64)   0           concatenate_4[0][0]              \n",
 412        "__________________________________________________________________________________________________\n",
 413        "conv2d_15 (Conv2D)              (None, 64, 64, 32)   18464       dropout_10[0][0]                 \n",
 414        "__________________________________________________________________________________________________\n",
 415        "batch_normalization_13 (BatchNo (None, 64, 64, 32)   128         conv2d_15[0][0]                  \n",
 416        "__________________________________________________________________________________________________\n",
 417        "activation_13 (Activation)      (None, 64, 64, 32)   0           batch_normalization_13[0][0]     \n",
 418        "__________________________________________________________________________________________________\n",
 419        "conv2d_transpose_5 (Conv2DTrans (None, 128, 128, 16) 4624        activation_13[0][0]              \n",
 420        "__________________________________________________________________________________________________\n",
 421        "concatenate_5 (Concatenate)     (None, 128, 128, 32) 0           conv2d_transpose_5[0][0]         \n",
 422        "                                                                 batch_normalization_10[0][0]     \n",
 423        "__________________________________________________________________________________________________\n",
 424        "dropout_11 (Dropout)            (None, 128, 128, 32) 0           concatenate_5[0][0]              \n",
 425        "__________________________________________________________________________________________________\n",
 426        "conv2d_16 (Conv2D)              (None, 128, 128, 16) 4624        dropout_11[0][0]                 \n",
 427        "__________________________________________________________________________________________________\n",
 428        "batch_normalization_14 (BatchNo (None, 128, 128, 16) 64          conv2d_16[0][0]                  \n",
 429        "__________________________________________________________________________________________________\n",
 430        "activation_14 (Activation)      (None, 128, 128, 16) 0           batch_normalization_14[0][0]     \n",
 431        "__________________________________________________________________________________________________\n",
 432        "conv2d_17 (Conv2D)              (None, 128, 128, 3)  51          activation_14[0][0]              \n",
 433        "==================================================================================================\n",
 434        "Total params: 70,451\n",
 435        "Trainable params: 70,131\n",
 436        "Non-trainable params: 320\n",
 437        "__________________________________________________________________________________________________\n"
 438       ]
 439      }
 440     ],
 441     "source": [
 442      "my.summary()"
 443     ]
 444    },
 445    {
 446     "cell_type": "code",
 447     "execution_count": 34,
 448     "id": "e83336bd",
 449     "metadata": {},
 450     "outputs": [],
 451     "source": [
 452      "my.compile(optimizer = 'Adam', loss = 'binary_crossentropy', metrics = ['accuracy'] )"
 453     ]
 454    },
 455    {
 456     "cell_type": "code",
 457     "execution_count": 47,
 458     "id": "7f5736c8",
 459     "metadata": {},
 460     "outputs": [
 461      {
 462       "name": "stdout",
 463       "output_type": "stream",
 464       "text": [
 465        "Epoch 1/30\n",
 466        "10/10 [==============================] - 32s 3s/step - loss: 0.5233 - accuracy: 0.6038 - val_loss: 0.6539 - val_accuracy: 0.5485\n",
 467        "Epoch 2/30\n",
 468        "10/10 [==============================] - 31s 3s/step - loss: 0.5180 - accuracy: 0.6077 - val_loss: 0.6193 - val_accuracy: 0.5586\n",
 469        "Epoch 3/30\n",
 470        "10/10 [==============================] - 30s 3s/step - loss: 0.5142 - accuracy: 0.6084 - val_loss: 0.5945 - val_accuracy: 0.5681\n",
 471        "Epoch 4/30\n",
 472        "10/10 [==============================] - 32s 3s/step - loss: 0.5108 - accuracy: 0.6172 - val_loss: 0.5842 - val_accuracy: 0.5727\n",
 473        "Epoch 5/30\n",
 474        "10/10 [==============================] - 30s 3s/step - loss: 0.5086 - accuracy: 0.6225 - val_loss: 0.5693 - val_accuracy: 0.5786\n",
 475        "Epoch 6/30\n",
 476        "10/10 [==============================] - 35s 3s/step - loss: 0.5063 - accuracy: 0.6296 - val_loss: 0.5650 - val_accuracy: 0.5882\n",
 477        "Epoch 7/30\n",
 478        "10/10 [==============================] - 33s 3s/step - loss: 0.5047 - accuracy: 0.6373 - val_loss: 0.5550 - val_accuracy: 0.5945\n",
 479        "Epoch 8/30\n",
 480        "10/10 [==============================] - 33s 3s/step - loss: 0.5035 - accuracy: 0.6433 - val_loss: 0.5511 - val_accuracy: 0.6196\n",
 481        "Epoch 9/30\n",
 482        "10/10 [==============================] - 34s 3s/step - loss: 0.5021 - accuracy: 0.6479 - val_loss: 0.5443 - val_accuracy: 0.6217\n",
 483        "Epoch 10/30\n",
 484        "10/10 [==============================] - 31s 3s/step - loss: 0.5011 - accuracy: 0.6557 - val_loss: 0.5404 - val_accuracy: 0.6452\n",
 485        "Epoch 11/30\n",
 486        "10/10 [==============================] - 30s 3s/step - loss: 0.5012 - accuracy: 0.6590 - val_loss: 0.5362 - val_accuracy: 0.6353\n",
 487        "Epoch 12/30\n",
 488        "10/10 [==============================] - 30s 3s/step - loss: 0.4999 - accuracy: 0.6601 - val_loss: 0.5317 - val_accuracy: 0.6571\n",
 489        "Epoch 13/30\n",
 490        "10/10 [==============================] - 31s 3s/step - loss: 0.4998 - accuracy: 0.6642 - val_loss: 0.5274 - val_accuracy: 0.6498\n",
 491        "Epoch 14/30\n",
 492        "10/10 [==============================] - 29s 3s/step - loss: 0.4989 - accuracy: 0.6743 - val_loss: 0.5251 - val_accuracy: 0.6689\n",
 493        "Epoch 15/30\n",
 494        "10/10 [==============================] - 29s 3s/step - loss: 0.4991 - accuracy: 0.6719 - val_loss: 0.5217 - val_accuracy: 0.6761\n",
 495        "Epoch 16/30\n",
 496        "10/10 [==============================] - 31s 3s/step - loss: 0.4990 - accuracy: 0.6749 - val_loss: 0.5211 - val_accuracy: 0.6717\n",
 497        "Epoch 17/30\n",
 498        "10/10 [==============================] - 32s 3s/step - loss: 0.4982 - accuracy: 0.6791 - val_loss: 0.5166 - val_accuracy: 0.6628\n",
 499        "Epoch 18/30\n",
 500        "10/10 [==============================] - 30s 3s/step - loss: 0.4980 - accuracy: 0.6761 - val_loss: 0.5155 - val_accuracy: 0.6724\n",
 501        "Epoch 19/30\n",
 502        "10/10 [==============================] - 30s 3s/step - loss: 0.4985 - accuracy: 0.6883 - val_loss: 0.5126 - val_accuracy: 0.6852\n",
 503        "Epoch 20/30\n",
 504        "10/10 [==============================] - 31s 3s/step - loss: 0.4974 - accuracy: 0.6835 - val_loss: 0.5094 - val_accuracy: 0.6893\n",
 505        "Epoch 21/30\n",
 506        "10/10 [==============================] - 31s 3s/step - loss: 0.4977 - accuracy: 0.6853 - val_loss: 0.5077 - val_accuracy: 0.6799\n",
 507        "Epoch 22/30\n",
 508        "10/10 [==============================] - 32s 3s/step - loss: 0.4966 - accuracy: 0.6862 - val_loss: 0.5074 - val_accuracy: 0.6845\n",
 509        "Epoch 23/30\n",
 510        "10/10 [==============================] - 30s 3s/step - loss: 0.4971 - accuracy: 0.6956 - val_loss: 0.5032 - val_accuracy: 0.6996\n",
 511        "Epoch 24/30\n",
 512        "10/10 [==============================] - 30s 3s/step - loss: 0.4968 - accuracy: 0.6918 - val_loss: 0.5033 - val_accuracy: 0.6989\n",
 513        "Epoch 25/30\n",
 514        "10/10 [==============================] - 31s 3s/step - loss: 0.4968 - accuracy: 0.6878 - val_loss: 0.5020 - val_accuracy: 0.7083\n",
 515        "Epoch 26/30\n",
 516        "10/10 [==============================] - 32s 3s/step - loss: 0.4958 - accuracy: 0.6943 - val_loss: 0.5007 - val_accuracy: 0.7140\n",
 517        "Epoch 27/30\n",
 518        "10/10 [==============================] - 30s 3s/step - loss: 0.4963 - accuracy: 0.6914 - val_loss: 0.4982 - val_accuracy: 0.7217\n",
 519        "Epoch 28/30\n",
 520        "10/10 [==============================] - 30s 3s/step - loss: 0.4966 - accuracy: 0.6976 - val_loss: 0.4980 - val_accuracy: 0.6997\n",
 521        "Epoch 29/30\n",
 522        "10/10 [==============================] - 32s 3s/step - loss: 0.4952 - accuracy: 0.6969 - val_loss: 0.4967 - val_accuracy: 0.7237\n",
 523        "Epoch 30/30\n",
 524        "10/10 [==============================] - 34s 3s/step - loss: 0.4954 - accuracy: 0.7080 - val_loss: 0.4966 - val_accuracy: 0.7180\n"
 525       ]
 526      }
 527     ],
 528     "source": [
 529      "h=my.fit(x_train, y_train, epochs=30, verbose=1, validation_data=(x_test, y_test))"
 530     ]
 531    },
 532    {
 533     "cell_type": "code",
 534     "execution_count": null,
 535     "id": "65fbbeed",
 536     "metadata": {},
 537     "outputs": [],
 538     "source": []
 539    },
 540    {
 541     "cell_type": "code",
 542     "execution_count": null,
 543     "id": "6b10c143",
 544     "metadata": {},
 545     "outputs": [],
 546     "source": []
 547    },
 548    {
 549     "cell_type": "code",
 550     "execution_count": 42,
 551     "id": "55199f0e",
 552     "metadata": {},
 553     "outputs": [
 554      {
 555       "data": {
 556        "text/plain": [
 557         "(128, 128, 3)"
 558        ]
 559       },
 560       "execution_count": 42,
 561       "metadata": {},
 562       "output_type": "execute_result"
 563      }
 564     ],
 565     "source": [
 566      "df['image'][311].shape"
 567     ]
 568    },
 569    {
 570     "cell_type": "code",
 571     "execution_count": null,
 572     "id": "e4b77a24",
 573     "metadata": {},
 574     "outputs": [],
 575     "source": []
 576    }
 577   ],
 578   "metadata": {
 579    "kernelspec": {
 580     "display_name": "Python 3",
 581     "language": "python",
 582     "name": "python3"
 583    },
 584    "language_info": {
 585     "codemirror_mode": {
 586      "name": "ipython",
 587      "version": 3
 588     },
 589     "file_extension": ".py",
 590     "mimetype": "text/x-python",
 591     "name": "python",
 592     "nbconvert_exporter": "python",
 593     "pygments_lexer": "ipython3",
 594     "version": "3.8.8"
 595    }
 596   },
 597   "nbformat": 4,
 598   "nbformat_minor": 5
 599  }
 600