face_reco_using _cnn.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Library Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import cv2\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import os\n",
    "import os.path\n",
    "from os import path\n",
    "\n",
    "\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "import os\n",
    "import glob\n",
    "\n",
    "\n",
    "# Keras API\n",
    "import keras\n",
    "from keras.models import Sequential,Model\n",
    "from keras.layers import Dense,Dropout,Flatten\n",
    "from keras.layers import Conv2D,MaxPooling2D,Activation,AveragePooling2D,BatchNormalization,MaxPool2D\n",
    "from keras.preprocessing.image import ImageDataGenerator\n",
    "from keras.callbacks import ModelCheckpoint, EarlyStopping\n",
    "\n",
    "from keras.applications.vgg16 import VGG16\n",
    "from keras.applications.vgg16 import preprocess_input\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Let's Train Your Face "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def facedetect():\n",
    "    \n",
    "\n",
    "    face_cascade = cv2.CascadeClassifier('F:\\OPENCV\\haarcascade_frontalface_default.xml')\n",
    "\n",
    "    # eye_cascade = cv2.CascadeClassifier('F:\\OPENCV\\haarcascade_eye.xml')\n",
    "    i=1\n",
    "    name=input(\"Enter your Name\")\n",
    "    \n",
    "  \n",
    "\n",
    "    parent_dir = \"F:\\OPENCV\\data\\data1\"\n",
    "   \n",
    "    path = os.path.join(parent_dir, name) \n",
    "  \n",
    "\n",
    "    os.mkdir(path) \n",
    "    cap = cv2.VideoCapture(0)\n",
    "    \n",
    "\n",
    "    while(1):\n",
    "        ret, img = cap.read()\n",
    "        gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n",
    "        faces = face_cascade.detectMultiScale(gray, 1.3, 5)\n",
    "        print(len(faces))\n",
    "        \n",
    "\n",
    "        for (x,y,w,h) in faces:\n",
    "            cv2.rectangle(img,(x-20,y-30),(x+w+25,y+h+10),(255,0,0),2)\n",
    "            temp=img[y:y+h,x:x+w,]\n",
    "            \n",
    "#             cv2.imshow('img',temp)\n",
    "    #         roi_gray = gray[y:y+h, x:x+w]\n",
    "    #         roi_color = img[y:y+h, x:x+w]\n",
    "\n",
    "    #         eyes = eye_cascade.detectMultiScale(roi_gray)\n",
    "    #         for (ex,ey,ew,eh) in eyes:\n",
    "    #             cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)\n",
    "\n",
    "#         cv2.imshow('img',img)\n",
    "#         plt.imshow(img)\n",
    "#         plt.show()\n",
    "#         print(temp)\n",
    "        if len(faces)==0:\n",
    "            print(\"come closer..would detect face soon\")\n",
    "            i=i-1\n",
    "        \n",
    "        else:\n",
    "            save=str(i)+'.jpg'\n",
    "            path = \"F:\\OPENCV\\data\\data1\"\n",
    "            path = os.path.join(path, name) \n",
    "#             plt.imshow(temp)\n",
    "#             plt.title(save)\n",
    "#             plt.show()\n",
    "            compressed=cv2.resize(temp, (125, 125)) \n",
    "            cv2.imwrite(os.path.join(path , save), compressed)\n",
    "            print(i)\n",
    "            print(\"recording your next pose\")\n",
    "        \n",
    "        \n",
    "        \n",
    "        \n",
    "#         print(\"Press key y to proceed\")\n",
    "#         ch=input(\"press key\")\n",
    "        ch='y'\n",
    "        print()\n",
    "        print()\n",
    "        if ch=='y' and i<400:\n",
    "            i=i+1\n",
    "            continue\n",
    "        else:\n",
    "            \n",
    "           \n",
    "            if i==400:\n",
    "                break\n",
    "            print(\"you have pressed wrong key\")\n",
    "            print(\"press 1 to train again\")\n",
    "            print(\"other key lead to quit\")\n",
    "            print()\n",
    "            wish=int(input())\n",
    "            \n",
    "            if wish==1:\n",
    "                cap.release()\n",
    "                cv2.destroyAllWindows()\n",
    "                facedetct()\n",
    "                break\n",
    "            else:\n",
    "                break\n",
    "                \n",
    "#         k = cv2.waitKey(3000) & 0xff\n",
    "#         if k == 27:\n",
    "#             print(\"spce\")\n",
    "#             continue\n",
    "            \n",
    "#         elif k== 97:\n",
    "#             print(' ')\n",
    "           \n",
    "#         else:\n",
    "#             print(\"Press space fast\")\n",
    "        \n",
    "        cv2.waitKey(100)\n",
    "        \n",
    "    cap.release()\n",
    "    cv2.destroyAllWindows()\n",
    "    print('End of Trainig phase')\n",
    "    print('N')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# def ModelTrain():\n",
    "\n",
    "#     train_dir=\"F:\\OPENCV\\data\\data1\"\n",
    "\n",
    "\n",
    "#     train_datagen=ImageDataGenerator(rescale=1./255,\n",
    "#                                        shear_range=0.2,\n",
    "#                                      rotation_range=40,\n",
    "#                                      fill_mode='nearest',\n",
    "#                                        zoom_range=0.2,\n",
    "#                                        validation_split=0.2, # validation split 10%.\n",
    "#                                        horizontal_flip=True)\n",
    "    \n",
    "#     img_width,img_height =125,125\n",
    "#     input_shape=(img_width,img_height,3)\n",
    "#     batch_size =20\n",
    "# # change\n",
    "#     train_generator =train_datagen.flow_from_directory(train_dir,\n",
    "#                                                    target_size=(img_width,img_height),\n",
    "#                                                    batch_size=batch_size)\n",
    "\n",
    "#     num_classes= len(train_generator.class_indices)\n",
    "\n",
    "#     print(train_generator.class_indices)\n",
    "    \n",
    "#     model = Sequential()\n",
    "#     model.add(Conv2D(32, (5, 5),input_shape=input_shape,activation='relu'))\n",
    "#     model.add(MaxPooling2D(pool_size=(3, 3)))\n",
    "#     model.add(Conv2D(32, (3, 3),activation='relu'))\n",
    "#     model.add(MaxPooling2D(pool_size=(2, 2)))\n",
    "#     model.add(Conv2D(64, (3, 3),activation='relu'))\n",
    "#     model.add(MaxPooling2D(pool_size=(2, 2)))  \n",
    "#     # model.add(input_shape=input_shape,activaion='relu')\n",
    "#     model.add(Flatten())\n",
    "#     model.add(Dense(512,activation='relu'))\n",
    "#     # model.add(Dense(128,activation='relu'))\n",
    "#     model.add(Dropout(0.5))                     \n",
    "#     model.add(Dense(512,activation='relu'))          \n",
    "#     model.add(Dense(num_classes,activation='softmax'))\n",
    "#     model.summary()\n",
    "    \n",
    "    \n",
    "#     validation_generator = train_datagen.flow_from_directory(\n",
    "#         train_dir, # same directory as training data\n",
    "#         target_size=(img_height, img_width),\n",
    "#         batch_size=batch_size) \n",
    "\n",
    "#     # Model building to get trained with parameters.\n",
    "#     opt=keras.optimizers.Adam(lr=0.001)\n",
    "#     model.compile(optimizer=opt,loss='categorical_crossentropy',metrics=['accuracy'])\n",
    "#     train=model.fit_generator(train_generator,\n",
    "#                               nb_epoch=10,\n",
    "#                               steps_per_epoch=train_generator.samples // batch_size,\n",
    "#                               validation_data=validation_generator,\n",
    "#                              nb_val_samples= validation_generator.samples// batch_size,verbose=1)\n",
    "#     return model\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# def ModelTrain():\n",
    "\n",
    "#     train_dir= \"F:\\OPENCV\\data\\data1\"\n",
    "\n",
    "\n",
    "#     train_datagen=ImageDataGenerator(rescale=1./255,\n",
    "#                                        shear_range=0.2,\n",
    "#                                      rotation_range=40,\n",
    "#                                      fill_mode='nearest',\n",
    "#                                        zoom_range=0.2,\n",
    "#                                        validation_split=0.2, # validation split 10%.\n",
    "#                                        horizontal_flip=True)\n",
    "    \n",
    "#     img_width,img_height =125,125\n",
    "#     input_shape=(img_width,img_height,3)\n",
    "#     batch_size =20\n",
    "# # change\n",
    "#     train_generator =train_datagen.flow_from_directory(train_dir,\n",
    "#                                                    target_size=(img_width,img_height),\n",
    "#                                                    batch_size=batch_size)\n",
    "\n",
    "#     num_classes= len(train_generator.class_indices)\n",
    "\n",
    "#     print(train_generator.class_indices)\n",
    "    \n",
    "#     model = Sequential()\n",
    "#     model.add(Conv2D(input_shape=input_shape,filters=64,kernel_size=(3,3),padding=\"same\", activation=\"relu\"))\n",
    "    \n",
    "#     model.add(Conv2D(filters=64,kernel_size=(3,3),padding=\"same\", activation=\"relu\"))\n",
    "#     model.add(MaxPool2D(pool_size=(2,2),strides=(2,2)))\n",
    "#     model.add(Conv2D(filters=128, kernel_size=(3,3), padding=\"same\", activation=\"relu\"))\n",
    "#     model.add(Conv2D(filters=128, kernel_size=(3,3), padding=\"same\", activation=\"relu\"))\n",
    "#     model.add(MaxPool2D(pool_size=(2,2),strides=(2,2)))\n",
    "#     model.add(Conv2D(filters=256, kernel_size=(3,3), padding=\"same\", activation=\"relu\"))\n",
    "#     model.add(Conv2D(filters=256, kernel_size=(3,3), padding=\"same\", activation=\"relu\"))\n",
    "#     model.add(Conv2D(filters=256, kernel_size=(3,3), padding=\"same\", activation=\"relu\"))\n",
    "#     model.add(MaxPool2D(pool_size=(2,2),strides=(2,2)))\n",
    "#     model.add(Conv2D(filters=512, kernel_size=(3,3), padding=\"same\", activation=\"relu\"))\n",
    "#     model.add(Conv2D(filters=512, kernel_size=(3,3), padding=\"same\", activation=\"relu\"))\n",
    "#     model.add(Conv2D(filters=512, kernel_size=(3,3), padding=\"same\", activation=\"relu\"))\n",
    "#     model.add(MaxPool2D(pool_size=(2,2),strides=(2,2)))\n",
    "#     model.add(Conv2D(filters=512, kernel_size=(3,3), padding=\"same\", activation=\"relu\"))\n",
    "#     model.add(Conv2D(filters=512, kernel_size=(3,3), padding=\"same\", activation=\"relu\"))\n",
    "#     model.add(Conv2D(filters=512, kernel_size=(3,3), padding=\"same\", activation=\"relu\"))\n",
    "#     model.add(MaxPool2D(pool_size=(2,2),strides=(2,2)))\n",
    "#     model.add(Flatten())\n",
    "#     model.add(Dense(units=4096,activation=\"relu\"))\n",
    "#     model.add(Dense(units=4096,activation=\"relu\"))\n",
    "#     model.add(Dense(units=3, activation=\"softmax\"))\n",
    "#     model.summary()\n",
    "    \n",
    "#     validation_generator = train_datagen.flow_from_directory(\n",
    "#         train_dir, # same directory as training data\n",
    "#         target_size=(img_height, img_width),\n",
    "#         batch_size=batch_size) \n",
    "\n",
    "#     # Model building to get trained with parameters.\n",
    "#     opt=keras.optimizers.Adam(lr=0.001)\n",
    "#     model.compile(optimizer=opt,loss='categorical_crossentropy',metrics=['accuracy'])\n",
    "#     train=model.fit_generator(train_generator,\n",
    "#                               nb_epoch=10,\n",
    "#                               steps_per_epoch=train_generator.samples // batch_size,\n",
    "#                               validation_data=validation_generator,\n",
    "#                              nb_val_samples= validation_generator.samples// batch_size,verbose=1)\n",
    "#     return model\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def ModelTrain():\n",
    "    \n",
    "\n",
    "    train_dir=\"F:\\OPENCV\\data\\data1\"\n",
    "\n",
    "\n",
    "    train_datagen=ImageDataGenerator(rescale=1./255,\n",
    "                                       shear_range=0.2,\n",
    "                                     rotation_range=40,\n",
    "                                     fill_mode='nearest',\n",
    "                                       zoom_range=0.2,\n",
    "                                       validation_split=0.2, # validation split 10%.\n",
    "                                       horizontal_flip=True)\n",
    "    \n",
    "    img_width,img_height =125,125\n",
    "    input_shape=(img_width,img_height,3)\n",
    "    batch_size =20\n",
    "# change\n",
    "    train_generator =train_datagen.flow_from_directory(train_dir,\n",
    "                                                   target_size=(img_width,img_height),\n",
    "                                                   batch_size=batch_size)\n",
    "\n",
    "    num_classes= len(train_generator.class_indices)\n",
    "\n",
    "    print(train_generator.class_indices)\n",
    "    \n",
    "    vgg=VGG16(input_shape=input_shape,weights='imagenet',include_top=False)\n",
    "    \n",
    "    for l in vgg.layers:\n",
    "        l.trainable=False\n",
    "        \n",
    "    x=Flatten()(vgg.output)\n",
    "    \n",
    "    \n",
    "    prd=Dense(2,activation='softmax')(x)\n",
    "    model=Model(inputs=vgg.input,outputs=prd)\n",
    "    \n",
    "    model.summary()\n",
    "    \n",
    "   \n",
    "  \n",
    "    \n",
    "    validation_generator = train_datagen.flow_from_directory(\n",
    "        train_dir, # same directory as training data\n",
    "        target_size=(img_height, img_width),\n",
    "        batch_size=batch_size) \n",
    "\n",
    "#     # Model building to get trained with parameters.\n",
    "    opt=keras.optimizers.Adam(lr=0.001)\n",
    "    model.compile(optimizer=opt,loss='categorical_crossentropy',metrics=['accuracy'])\n",
    "    train=model.fit_generator(train_generator,\n",
    "                              nb_epoch=5,\n",
    "                              steps_per_epoch=train_generator.samples // batch_size,\n",
    "                              validation_data=validation_generator,\n",
    "                             nb_val_samples= validation_generator.samples// batch_size,verbose=1)\n",
    "    \n",
    "    \n",
    "    return model\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# checkpoint = ModelCheckpoint(\"vgg16_1.h5\", monitor='val_acc', verbose=1, save_best_only=True, \n",
    "#                              save_weights_only=False, mode='auto', period=1)\n",
    "# early = EarlyStopping(monitor='val_acc', min_delta=0, patience=20, verbose=1, mode='auto')\n",
    "# hist = model.fit_generator(steps_per_epoch=100,generator=traindata, validation_data= testdata, \n",
    "#                            validation_steps=10,epochs=100,callbacks=[checkpoint,early])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "def savingModel(model):\n",
    "    from keras.models import load_model\n",
    "    model.save('FaceRecog.h5')\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "def loadModel():\n",
    "    from keras.models import load_model\n",
    "    from os import walk\n",
    "\n",
    "    model=load_model('FaceRecog.h5')\n",
    "    \n",
    "    \n",
    "    mypath=\"F:\\OPENCV\\data\\data1\"\n",
    "    classes = []\n",
    "    for (dirpath, dirnames, filenames) in walk(mypath):\n",
    "        classes.extend(dirnames)\n",
    "        break\n",
    "\n",
    "#     classes = ['papa','suyash','ved']\n",
    "    return classes,model\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "def face_test(classes,model):\n",
    "\n",
    "    import numpy as np\n",
    "    import cv2\n",
    "    import matplotlib.pyplot as plt\n",
    "#     classes = train_generator.class_indices\n",
    "#     classes\n",
    "    cap = cv2.VideoCapture(0)\n",
    "    num=5\n",
    "    face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')\n",
    "\n",
    "    eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')\n",
    "\n",
    "    \n",
    "\n",
    "    while 1:\n",
    "        ret, img = cap.read()\n",
    "        gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n",
    "        faces = face_cascade.detectMultiScale(gray, 1.3, 5)\n",
    "\n",
    "        for (x,y,w,h) in faces:\n",
    "            cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)\n",
    "            temp=img[y:y+h,x:x+w]\n",
    "            compressed=cv2.resize(temp, (125, 125)) \n",
    "    #             cv2.imwrite(os.path.join(path , save), compressed)\n",
    "    #             print(compressed)\n",
    "            num=result(compressed)\n",
    "            font=cv2.FONT_HERSHEY_SIMPLEX\n",
    "            print(num)\n",
    "            print(classes)\n",
    "\n",
    "            cv2.putText(img,list(classes)[num],(x,y), font,2,(0,0,0),5,cv2.LINE_AA)            \n",
    "\n",
    "\n",
    "            print(temp)\n",
    "\n",
    "\n",
    "    #         roi_gray = gray[y:y+h, x:x+w]\n",
    "    #         roi_color = img[y:y+h, x:x+w]\n",
    "\n",
    "    #         eyes = eye_cascade.detectMultiScale(roi_gray)\n",
    "    #         for (ex,ey,ew,eh) in eyes:\n",
    "    #             cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)\n",
    "\n",
    "    #     print(faces)\n",
    "\n",
    "\n",
    "\n",
    "        print(\"Detected Image is {} \".format(num))\n",
    "        resize = cv2.resize(img, (1000, 1000)) \n",
    "        cv2.imshow('img',resize)\n",
    "\n",
    "\n",
    "    ##    plt.show()\n",
    "\n",
    "\n",
    "        k = cv2.waitKey(30) & 0xff\n",
    "        if k == 27:\n",
    "            break\n",
    "\n",
    "    cap.release()\n",
    "    cv2.destroyAllWindows()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "from keras.preprocessing import image\n",
    "def prepare(t):\n",
    "\n",
    "        \n",
    "        \n",
    "        sizee=cv2.resize(np.float32(t), (125, 125)) \n",
    "        x = image.img_to_array(sizee)\n",
    "        x = x/255\n",
    "        x=np.array(x)\n",
    "        return np.expand_dims(x, axis=0)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "def result(temp):\n",
    "    import numpy as np\n",
    "    import matplotlib.pyplot as plt\n",
    "    import tensorflow as tf\n",
    "    \n",
    "\n",
    "    # Pre-Processing test data same as train data.\n",
    "    \n",
    "    #model.compile(optimizer='adam',loss='categorical_crossentropy',metrics=['accuracy'])\n",
    "\n",
    "    from keras.preprocessing import image\n",
    "\n",
    "\n",
    "    \n",
    "\n",
    "    result = model.predict([prepare(temp)])\n",
    "#     res=int(result)\n",
    "    res=list(result[0])\n",
    "    return (res.index(max(res)))\n",
    "    # print (Classes[int(result)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['papa', 'suyash', 'vedant']\n"
     ]
    }
   ],
   "source": [
    "classes,model=loadModel()\n",
    "print(classes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This is face recognition system\n",
      "\n",
      "\n",
      "Enter your choice\n",
      "1] You have not trained yet...Let's Train\n",
      "2] Face recoginition\n",
      "3] Quit\n",
      "Make a wish   2\n",
      "you have selected wish 2\n",
      "camera is being stated , get ready for predictions\n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [152 160 159]\n",
      "  ...\n",
      "  [161 167 169]\n",
      "  [162 168 170]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 39  53  72]\n",
      "  ...\n",
      "  [147 155 164]\n",
      "  [148 155 166]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 42  56  75]\n",
      "  ...\n",
      "  [146 154 163]\n",
      "  [147 154 165]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [139   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [253   0   0]\n",
      "  [235   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [160 167 170]\n",
      "  ...\n",
      "  [167 176 178]\n",
      "  [166 175 177]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 60  84  93]\n",
      "  ...\n",
      "  [ 58 104 128]\n",
      "  [ 59 108 131]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 58  83  95]\n",
      "  ...\n",
      "  [ 44  97 120]\n",
      "  [ 42 100 120]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [139   0   0]\n",
      "  [  4   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [235   0   0]\n",
      "  [152   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [160 172 171]\n",
      "  ...\n",
      "  [172 180 179]\n",
      "  [173 179 181]\n",
      "  [230   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 62  79  98]\n",
      "  ...\n",
      "  [ 50  78 110]\n",
      "  [ 53  84 115]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 59  76  92]\n",
      "  ...\n",
      "  [ 43  76 115]\n",
      "  [ 52  82 117]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [139   0   0]\n",
      "  [  4   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [235   0   0]\n",
      "  [152   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [154 163 166]\n",
      "  ...\n",
      "  [173 178 175]\n",
      "  [172 176 176]\n",
      "  [230   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 57  78  90]\n",
      "  ...\n",
      "  [ 51  93 125]\n",
      "  [ 52  94 122]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 62  83  93]\n",
      "  ...\n",
      "  [ 46  89 117]\n",
      "  [ 48  90 117]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [165 168 174]\n",
      "  ...\n",
      "  [170 178 175]\n",
      "  [172 180 177]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 62  86  95]\n",
      "  ...\n",
      "  [ 65  97 124]\n",
      "  [ 71 100 128]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 61  85  93]\n",
      "  ...\n",
      "  [ 64  96 121]\n",
      "  [ 68 100 125]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 61  65  75]\n",
      "  ...\n",
      "  [169 178 180]\n",
      "  [165 174 176]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 67  86  96]\n",
      "  ...\n",
      "  [ 55  97 127]\n",
      "  [ 56  98 126]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 69  88  98]\n",
      "  ...\n",
      "  [ 55  97 127]\n",
      "  [ 55  97 125]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [163 169 176]\n",
      "  ...\n",
      "  [169 176 178]\n",
      "  [167 177 176]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 62  83 103]\n",
      "  ...\n",
      "  [ 57  92 121]\n",
      "  [ 64 102 129]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 64  85 107]\n",
      "  ...\n",
      "  [ 53  88 117]\n",
      "  [ 61  99 126]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [253   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [160 171 174]\n",
      "  ...\n",
      "  [168 176 175]\n",
      "  [171 178 180]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 65  82  97]\n",
      "  ...\n",
      "  [ 52  95 123]\n",
      "  [ 46  89 117]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 65  82  97]\n",
      "  ...\n",
      "  [ 44  87 115]\n",
      "  [ 47  90 118]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [139   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [253   0   0]\n",
      "  [235   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [159 168 170]\n",
      "  ...\n",
      "  [171 177 179]\n",
      "  [171 177 179]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 63  84  96]\n",
      "  ...\n",
      "  [ 54 101 132]\n",
      "  [ 54  98 130]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 65  84  96]\n",
      "  ...\n",
      "  [ 48  95 126]\n",
      "  [ 50  94 126]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [139   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [253   0   0]\n",
      "  [235   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [161 168 170]\n",
      "  ...\n",
      "  [170 176 178]\n",
      "  [171 177 179]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 65  80  95]\n",
      "  ...\n",
      "  [ 61  99 117]\n",
      "  [ 65 103 121]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 66  81  96]\n",
      "  ...\n",
      "  [ 57  95 113]\n",
      "  [ 61  99 117]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [139   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [253   0   0]\n",
      "  [235   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [163 170 172]\n",
      "  ...\n",
      "  [170 176 178]\n",
      "  [169 175 177]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 63  86 100]\n",
      "  ...\n",
      "  [ 69 101 126]\n",
      "  [ 68 100 125]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 59  82  96]\n",
      "  ...\n",
      "  [ 66  98 123]\n",
      "  [ 66  98 123]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [139   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [253   0   0]\n",
      "  [235   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [162 171 173]\n",
      "  ...\n",
      "  [164 173 175]\n",
      "  [166 175 177]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 60  81  95]\n",
      "  ...\n",
      "  [ 77 103 129]\n",
      "  [ 76 103 126]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 61  82  96]\n",
      "  ...\n",
      "  [ 75 101 127]\n",
      "  [ 75 102 125]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [139   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [253   0   0]\n",
      "  [235   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [168 175 178]\n",
      "  ...\n",
      "  [169 175 181]\n",
      "  [170 175 181]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 59  87  98]\n",
      "  ...\n",
      "  [ 58 104 128]\n",
      "  [ 60 104 128]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 57  85  96]\n",
      "  ...\n",
      "  [ 54 100 124]\n",
      "  [ 56 100 124]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [139   0   0]\n",
      "  [  4   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [235   0   0]\n",
      "  [152   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [165 172 174]\n",
      "  ...\n",
      "  [171 178 180]\n",
      "  [170 177 179]\n",
      "  [230   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 63  79  98]\n",
      "  ...\n",
      "  [ 92 123 144]\n",
      "  [ 92 122 143]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 60  76  95]\n",
      "  ...\n",
      "  [ 90 121 142]\n",
      "  [ 91 121 142]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [253   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [160 166 168]\n",
      "  ...\n",
      "  [167 177 176]\n",
      "  [166 176 175]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 72  85 100]\n",
      "  ...\n",
      "  [155 162 164]\n",
      "  [155 162 164]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 70  83  98]\n",
      "  ...\n",
      "  [155 162 164]\n",
      "  [153 160 162]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [  4   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [152   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [161 167 173]\n",
      "  ...\n",
      "  [162 171 173]\n",
      "  [149 157 159]\n",
      "  [100   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 76  92 102]\n",
      "  ...\n",
      "  [115 128 133]\n",
      "  [104 117 122]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 77  93 103]\n",
      "  ...\n",
      "  [101 114 119]\n",
      "  [102 115 120]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [253   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 35  46  61]\n",
      "  ...\n",
      "  [166 176 175]\n",
      "  [166 176 175]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [113 120 123]\n",
      "  ...\n",
      "  [ 94 112 127]\n",
      "  [ 96 113 128]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [113 120 122]\n",
      "  ...\n",
      "  [ 89 110 124]\n",
      "  [ 87 108 122]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 28  36  52]\n",
      "  ...\n",
      "  [164 173 175]\n",
      "  [164 173 175]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 99 111 112]\n",
      "  ...\n",
      "  [108 120 130]\n",
      "  [101 112 127]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 98 110 111]\n",
      "  ...\n",
      "  [ 99 111 121]\n",
      "  [103 114 129]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [164 172 169]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 95 105 114]\n",
      "  ...\n",
      "  [ 96 113 132]\n",
      "  [ 93 112 132]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 89 101 108]\n",
      "  ...\n",
      "  [ 81  97 120]\n",
      "  [ 86 102 125]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [139   0   0]\n",
      "  [  4   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [253   0   0]\n",
      "  [235   0   0]\n",
      "  [152   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 42  56  66]\n",
      "  ...\n",
      "  [173 179 182]\n",
      "  [172 178 181]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 94 103 116]\n",
      "  ...\n",
      "  [148 162 163]\n",
      "  [144 160 162]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 95 104 117]\n",
      "  ...\n",
      "  [151 165 166]\n",
      "  [144 160 162]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [253   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 32  40  56]\n",
      "  ...\n",
      "  [170 179 184]\n",
      "  [168 177 180]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 92 106 115]\n",
      "  ...\n",
      "  [151 158 160]\n",
      "  [154 161 164]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 93 107 116]\n",
      "  ...\n",
      "  [151 158 161]\n",
      "  [153 160 163]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [139   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [253   0   0]\n",
      "  [235   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 37  46  57]\n",
      "  ...\n",
      "  [167 177 176]\n",
      "  [166 176 175]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [102 114 121]\n",
      "  ...\n",
      "  [156 164 163]\n",
      "  [157 165 164]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [100 112 119]\n",
      "  ...\n",
      "  [156 164 163]\n",
      "  [157 165 164]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [162 172 171]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 95 110 115]\n",
      "  ...\n",
      "  [152 159 161]\n",
      "  [155 162 164]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 95 109 119]\n",
      "  ...\n",
      "  [154 162 161]\n",
      "  [154 161 163]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [139   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [253   0   0]\n",
      "  [235   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [103 118 114]\n",
      "  ...\n",
      "  [167 174 176]\n",
      "  [163 172 174]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [105 115 122]\n",
      "  ...\n",
      "  [157 164 166]\n",
      "  [158 165 167]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [104 114 121]\n",
      "  ...\n",
      "  [156 163 165]\n",
      "  [156 163 165]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [  4   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [152   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [130 144 153]\n",
      "  ...\n",
      "  [166 176 175]\n",
      "  [150 156 158]\n",
      "  [100   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [106 117 122]\n",
      "  ...\n",
      "  [151 160 163]\n",
      "  [154 163 168]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [105 116 121]\n",
      "  ...\n",
      "  [151 160 163]\n",
      "  [153 162 167]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [253   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 49  50  66]\n",
      "  ...\n",
      "  [169 176 179]\n",
      "  [169 176 178]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [105 118 123]\n",
      "  ...\n",
      "  [154 161 163]\n",
      "  [156 163 165]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [105 118 123]\n",
      "  ...\n",
      "  [154 161 163]\n",
      "  [154 161 163]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [139   0   0]\n",
      "  [  4   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [253   0   0]\n",
      "  [235   0   0]\n",
      "  [152   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [144 149 159]\n",
      "  ...\n",
      "  [169 176 178]\n",
      "  [169 176 178]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [105 113 122]\n",
      "  ...\n",
      "  [155 162 164]\n",
      "  [154 162 161]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [107 115 122]\n",
      "  ...\n",
      "  [154 161 163]\n",
      "  [154 161 163]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [170 176 179]\n",
      "  ...\n",
      "  [152 160 162]\n",
      "  [ 66  69  70]\n",
      "  [  0   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [101 117 118]\n",
      "  ...\n",
      "  [152 159 161]\n",
      "  [155 162 165]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [103 115 116]\n",
      "  ...\n",
      "  [154 161 163]\n",
      "  [156 163 166]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [139   0   0]\n",
      "  [  4   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [253   0   0]\n",
      "  [235   0   0]\n",
      "  [152   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 93  99 106]\n",
      "  ...\n",
      "  [164 173 175]\n",
      "  [165 174 176]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [103 119 121]\n",
      "  ...\n",
      "  [151 160 162]\n",
      "  [151 160 163]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [103 119 121]\n",
      "  ...\n",
      "  [152 161 163]\n",
      "  [152 161 164]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [  4   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [152   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [150 160 169]\n",
      "  ...\n",
      "  [170 177 179]\n",
      "  [157 164 163]\n",
      "  [100   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [107 119 126]\n",
      "  ...\n",
      "  [154 160 163]\n",
      "  [150 159 161]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [108 118 127]\n",
      "  ...\n",
      "  [156 162 165]\n",
      "  [154 161 164]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [161 167 173]\n",
      "  ...\n",
      "  [153 159 161]\n",
      "  [ 67  69  70]\n",
      "  [  0   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [101 113 120]\n",
      "  ...\n",
      "  [148 159 162]\n",
      "  [148 159 162]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [101 113 120]\n",
      "  ...\n",
      "  [150 161 164]\n",
      "  [149 160 163]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [139   0   0]\n",
      "  [  4   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [253   0   0]\n",
      "  [235   0   0]\n",
      "  [152   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 79  90  95]\n",
      "  ...\n",
      "  [175 182 184]\n",
      "  [173 181 180]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 99 117 119]\n",
      "  ...\n",
      "  [156 165 168]\n",
      "  [157 166 169]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 98 115 121]\n",
      "  ...\n",
      "  [155 162 164]\n",
      "  [154 163 165]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [164 170 176]\n",
      "  ...\n",
      "  [ 67  70  71]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [100 114 115]\n",
      "  ...\n",
      "  [152 162 161]\n",
      "  [153 163 162]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [103 112 115]\n",
      "  ...\n",
      "  [154 161 163]\n",
      "  [155 163 162]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [161 169 168]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [108 116 123]\n",
      "  ...\n",
      "  [144 157 162]\n",
      "  [155 170 175]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [104 112 119]\n",
      "  ...\n",
      "  [127 143 152]\n",
      "  [109 127 137]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [165 172 175]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 77 101 110]\n",
      "  ...\n",
      "  [155 167 166]\n",
      "  [149 163 162]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 70  91 103]\n",
      "  ...\n",
      "  [144 161 166]\n",
      "  [137 156 162]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "Detected Image is 0 \n",
      "Detected Image is 0 \n",
      "Detected Image is 0 \n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [158 167 169]\n",
      "  ...\n",
      "  [ 54  56  67]\n",
      "  [ 49  51  62]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 79  96 111]\n",
      "  ...\n",
      "  [156 165 170]\n",
      "  [157 166 169]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 84  99 112]\n",
      "  ...\n",
      "  [155 164 169]\n",
      "  [155 164 169]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [161 169 166]\n",
      "  ...\n",
      "  [ 64  76  75]\n",
      "  [ 62  76  75]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 87 101 110]\n",
      "  ...\n",
      "  [158 165 168]\n",
      "  [156 162 165]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 84  98 107]\n",
      "  ...\n",
      "  [159 166 169]\n",
      "  [153 159 162]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "Detected Image is 0 \n",
      "Detected Image is 0 \n",
      "Detected Image is 0 \n",
      "Detected Image is 0 \n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [158 167 169]\n",
      "  ...\n",
      "  [ 66  69  89]\n",
      "  [ 74  77  98]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 74  88 107]\n",
      "  ...\n",
      "  [158 165 167]\n",
      "  [154 162 161]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 74  88 107]\n",
      "  ...\n",
      "  [160 167 169]\n",
      "  [156 164 163]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [139   0   0]\n",
      "  [  4   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [235   0   0]\n",
      "  [152   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [159 166 169]\n",
      "  ...\n",
      "  [ 43  43  51]\n",
      "  [ 50  47  59]\n",
      "  [230   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 81  94 107]\n",
      "  ...\n",
      "  [153 160 162]\n",
      "  [155 162 164]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 77  92 107]\n",
      "  ...\n",
      "  [148 157 159]\n",
      "  [152 161 163]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [253   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 41  42  46]\n",
      "  ...\n",
      "  [172 178 180]\n",
      "  [172 178 180]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 26  47  61]\n",
      "  ...\n",
      "  [157 164 167]\n",
      "  [156 163 166]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 23  41  51]\n",
      "  ...\n",
      "  [156 165 168]\n",
      "  [154 163 165]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  4   0   0]\n",
      "  [139   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [151   0   0]\n",
      "  [235   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 48  62  91]\n",
      "  ...\n",
      "  [154 160 159]\n",
      "  [171 178 177]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 28  48  66]\n",
      "  ...\n",
      "  [157 168 171]\n",
      "  [157 169 170]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 26  46  64]\n",
      "  ...\n",
      "  [155 166 169]\n",
      "  [158 169 172]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "Detected Image is 0 \n",
      "Detected Image is 0 \n",
      "Detected Image is 0 \n",
      "Detected Image is 0 \n",
      "Detected Image is 0 \n",
      "Detected Image is 0 \n",
      "Detected Image is 0 \n",
      "Detected Image is 0 \n",
      "Detected Image is 0 \n",
      "Detected Image is 0 \n",
      "Detected Image is 0 \n",
      "Detected Image is 0 \n",
      "Detected Image is 0 \n",
      "Detected Image is 0 \n",
      "Detected Image is 0 \n",
      "Detected Image is 0 \n",
      "Detected Image is 0 \n",
      "Detected Image is 0 \n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 50  55  66]\n",
      "  ...\n",
      "  [169 176 178]\n",
      "  [168 175 177]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 73  92 102]\n",
      "  ...\n",
      "  [153 165 164]\n",
      "  [154 166 165]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 76  92 101]\n",
      "  ...\n",
      "  [154 166 165]\n",
      "  [152 166 165]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [160 167 170]\n",
      "  ...\n",
      "  [ 59  50  71]\n",
      "  [ 57  51  69]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 66  92  92]\n",
      "  ...\n",
      "  [141 150 161]\n",
      "  [151 162 165]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 68  91  93]\n",
      "  ...\n",
      "  [144 151 162]\n",
      "  [154 163 168]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [159 168 170]\n",
      "  ...\n",
      "  [ 52  47  50]\n",
      "  [ 54  49  53]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 78  94 104]\n",
      "  ...\n",
      "  [156 162 165]\n",
      "  [152 157 163]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 74  93 103]\n",
      "  ...\n",
      "  [156 162 165]\n",
      "  [156 161 167]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [160 172 171]\n",
      "  ...\n",
      "  [ 41  45  56]\n",
      "  [ 45  49  60]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 74  87 102]\n",
      "  ...\n",
      "  [157 164 163]\n",
      "  [152 159 161]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 75  88 103]\n",
      "  ...\n",
      "  [158 165 164]\n",
      "  [153 160 162]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [139   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [253   0   0]\n",
      "  [235   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [157 166 168]\n",
      "  ...\n",
      "  [ 86  77  84]\n",
      "  [134 129 133]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 68  91 103]\n",
      "  ...\n",
      "  [154 162 159]\n",
      "  [153 160 159]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 68  93 107]\n",
      "  ...\n",
      "  [152 162 161]\n",
      "  [154 161 163]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [156 165 167]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 64  80  99]\n",
      "  ...\n",
      "  [177 186 188]\n",
      "  [177 186 191]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 73  86  99]\n",
      "  ...\n",
      "  [187 194 191]\n",
      "  [182 189 188]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [156 164 171]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [101 114 119]\n",
      "  ...\n",
      "  [183 190 187]\n",
      "  [186 193 192]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 98 110 117]\n",
      "  ...\n",
      "  [183 188 185]\n",
      "  [192 195 192]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [139   0   0]\n",
      "  [  4   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [235   0   0]\n",
      "  [152   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 30  25  36]\n",
      "  ...\n",
      "  [160 167 170]\n",
      "  [163 170 173]\n",
      "  [230   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 94 108 117]\n",
      "  ...\n",
      "  [177 184 186]\n",
      "  [179 186 189]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 98 112 121]\n",
      "  ...\n",
      "  [178 185 187]\n",
      "  [179 186 189]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [136 140 150]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [105 114 117]\n",
      "  ...\n",
      "  [185 194 199]\n",
      "  [169 179 188]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [107 116 119]\n",
      "  ...\n",
      "  [169 178 183]\n",
      "  [174 184 193]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 41  36  47]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [105 120 126]\n",
      "  ...\n",
      "  [104 121 136]\n",
      "  [ 93 117 135]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [101 116 122]\n",
      "  ...\n",
      "  [ 97 114 129]\n",
      "  [ 96 120 138]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [  4   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [152   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 25  33  42]\n",
      "  ...\n",
      "  [171 175 177]\n",
      "  [151 154 156]\n",
      "  [100   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [107 116 119]\n",
      "  ...\n",
      "  [ 88 114 132]\n",
      "  [ 82 113 132]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 99 112 115]\n",
      "  ...\n",
      "  [103 121 133]\n",
      "  [ 91 111 127]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 52  57  68]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [104 115 120]\n",
      "  ...\n",
      "  [131 148 163]\n",
      "  [ 93 110 129]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [104 115 120]\n",
      "  ...\n",
      "  [165 179 188]\n",
      "  [120 135 148]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 29  31  42]\n",
      "  ...\n",
      "  [151 159 157]\n",
      "  [ 65  70  69]\n",
      "  [  0   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [101 107 114]\n",
      "  ...\n",
      "  [ 95 115 131]\n",
      "  [ 94 116 134]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [106 112 119]\n",
      "  ...\n",
      "  [ 96 116 132]\n",
      "  [ 94 116 134]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 35  37  55]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [107 119 120]\n",
      "  ...\n",
      "  [ 86 111 133]\n",
      "  [ 82 109 131]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [102 117 122]\n",
      "  ...\n",
      "  [ 93 113 131]\n",
      "  [ 94 115 135]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 44  42  59]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [101 114 117]\n",
      "  ...\n",
      "  [ 99 124 146]\n",
      "  [ 87 112 135]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [103 114 119]\n",
      "  ...\n",
      "  [ 84 111 126]\n",
      "  [ 92 118 136]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 37  32  46]\n",
      "  ...\n",
      "  [ 66  69  70]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [111 117 123]\n",
      "  ...\n",
      "  [ 75 105 126]\n",
      "  [ 79 110 131]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [111 117 123]\n",
      "  ...\n",
      "  [ 79 109 130]\n",
      "  [ 81 112 133]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 67  73  80]\n",
      "  ...\n",
      "  [ 65  69  71]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [110 119 124]\n",
      "  ...\n",
      "  [ 91 105 122]\n",
      "  [ 91 108 124]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [114 123 128]\n",
      "  ...\n",
      "  [ 95 109 126]\n",
      "  [ 91 108 124]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [139   0   0]\n",
      "  [  4   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [253   0   0]\n",
      "  [235   0   0]\n",
      "  [152   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [161 169 168]\n",
      "  ...\n",
      "  [164 176 177]\n",
      "  [168 177 179]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 88 106 108]\n",
      "  ...\n",
      "  [150 160 159]\n",
      "  [153 160 162]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 88 106 108]\n",
      "  ...\n",
      "  [151 161 160]\n",
      "  [152 161 163]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [139   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [253   0   0]\n",
      "  [235   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [162 170 169]\n",
      "  ...\n",
      "  [173 178 184]\n",
      "  [172 178 184]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 62  91 105]\n",
      "  ...\n",
      "  [157 162 169]\n",
      "  [159 164 171]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 62  91 105]\n",
      "  ...\n",
      "  [155 162 165]\n",
      "  [156 163 166]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [253   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [160 170 169]\n",
      "  ...\n",
      "  [168 175 177]\n",
      "  [165 174 176]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 84  97 110]\n",
      "  ...\n",
      "  [155 164 167]\n",
      "  [157 166 169]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 81  97 107]\n",
      "  ...\n",
      "  [154 163 166]\n",
      "  [156 165 168]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [253   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [163 171 180]\n",
      "  ...\n",
      "  [168 174 176]\n",
      "  [171 179 178]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 81 100 105]\n",
      "  ...\n",
      "  [149 161 162]\n",
      "  [149 161 162]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 82 101 106]\n",
      "  ...\n",
      "  [150 162 163]\n",
      "  [153 165 166]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 73  81  88]\n",
      "  ...\n",
      "  [170 177 179]\n",
      "  [172 179 181]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 96 105 118]\n",
      "  ...\n",
      "  [155 161 167]\n",
      "  [157 163 169]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 97 106 119]\n",
      "  ...\n",
      "  [154 160 166]\n",
      "  [156 162 168]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 57  60  67]\n",
      "  ...\n",
      "  [170 177 180]\n",
      "  [168 177 180]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 91 105 114]\n",
      "  ...\n",
      "  [153 162 164]\n",
      "  [152 161 163]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 92 108 110]\n",
      "  ...\n",
      "  [157 164 166]\n",
      "  [156 163 165]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [128 138 145]\n",
      "  ...\n",
      "  [169 177 176]\n",
      "  [164 174 173]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 84 103 109]\n",
      "  ...\n",
      "  [156 163 166]\n",
      "  [154 160 163]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 91 108 114]\n",
      "  ...\n",
      "  [154 163 168]\n",
      "  [150 159 162]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 44  55  68]\n",
      "  ...\n",
      "  [170 176 179]\n",
      "  [171 177 180]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 94 106 113]\n",
      "  ...\n",
      "  [159 166 169]\n",
      "  [158 165 168]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 96 105 110]\n",
      "  ...\n",
      "  [159 166 169]\n",
      "  [158 165 168]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [139   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [253   0   0]\n",
      "  [235   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [161 170 172]\n",
      "  ...\n",
      "  [170 178 177]\n",
      "  [168 176 175]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 84  98 107]\n",
      "  ...\n",
      "  [156 162 165]\n",
      "  [156 163 166]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 86 100 109]\n",
      "  ...\n",
      "  [157 163 166]\n",
      "  [154 161 164]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 60  58  75]\n",
      "  ...\n",
      "  [165 178 174]\n",
      "  [167 177 176]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 88  97 108]\n",
      "  ...\n",
      "  [152 161 166]\n",
      "  [154 163 168]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 88  97 108]\n",
      "  ...\n",
      "  [152 161 166]\n",
      "  [153 162 167]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [158 165 167]\n",
      "  ...\n",
      "  [165 174 176]\n",
      "  [165 174 177]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 81  96 102]\n",
      "  ...\n",
      "  [152 161 163]\n",
      "  [155 162 164]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 83  97 106]\n",
      "  ...\n",
      "  [154 161 163]\n",
      "  [155 162 164]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [156 158 169]\n",
      "  ...\n",
      "  [171 177 179]\n",
      "  [168 175 177]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 86 100 110]\n",
      "  ...\n",
      "  [160 167 166]\n",
      "  [157 164 161]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 85  99 109]\n",
      "  ...\n",
      "  [157 164 166]\n",
      "  [155 162 164]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 55  64  75]\n",
      "  ...\n",
      "  [173 177 179]\n",
      "  [171 175 177]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 86 101 114]\n",
      "  ...\n",
      "  [156 162 169]\n",
      "  [156 162 169]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 86 101 114]\n",
      "  ...\n",
      "  [156 162 169]\n",
      "  [156 162 169]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 61  63  74]\n",
      "  ...\n",
      "  [165 178 174]\n",
      "  [164 176 175]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 85 100 105]\n",
      "  ...\n",
      "  [153 162 165]\n",
      "  [153 162 165]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 84  99 104]\n",
      "  ...\n",
      "  [156 165 168]\n",
      "  [155 164 167]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [144 148 159]\n",
      "  ...\n",
      "  [164 176 177]\n",
      "  [168 177 179]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 83  99 109]\n",
      "  ...\n",
      "  [155 162 161]\n",
      "  [155 161 163]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 80  96 106]\n",
      "  ...\n",
      "  [157 164 163]\n",
      "  [157 163 165]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [147 158 163]\n",
      "  ...\n",
      "  [166 178 179]\n",
      "  [165 177 176]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 71  83  93]\n",
      "  ...\n",
      "  [152 162 159]\n",
      "  [154 164 161]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 82  94 104]\n",
      "  ...\n",
      "  [152 162 161]\n",
      "  [153 163 162]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 47  55  71]\n",
      "  ...\n",
      "  [170 176 179]\n",
      "  [172 178 181]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 82 100 112]\n",
      "  ...\n",
      "  [154 162 159]\n",
      "  [154 162 159]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 82 100 112]\n",
      "  ...\n",
      "  [153 161 158]\n",
      "  [154 162 159]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [139   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [253   0   0]\n",
      "  [235   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [157 166 168]\n",
      "  ...\n",
      "  [170 178 177]\n",
      "  [171 179 176]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 83 101 111]\n",
      "  ...\n",
      "  [152 164 165]\n",
      "  [152 164 165]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 79  97 107]\n",
      "  ...\n",
      "  [149 161 162]\n",
      "  [152 164 165]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [139   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [253   0   0]\n",
      "  [235   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [156 166 165]\n",
      "  ...\n",
      "  [172 179 178]\n",
      "  [171 179 178]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 75  98 112]\n",
      "  ...\n",
      "  [155 161 163]\n",
      "  [157 164 163]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 78  96 111]\n",
      "  ...\n",
      "  [155 162 165]\n",
      "  [156 163 165]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [157 160 167]\n",
      "  ...\n",
      "  [168 178 177]\n",
      "  [169 179 178]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 85  99 109]\n",
      "  ...\n",
      "  [155 161 164]\n",
      "  [156 162 165]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 83  99 109]\n",
      "  ...\n",
      "  [152 159 161]\n",
      "  [153 162 164]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [168 171 175]\n",
      "  ...\n",
      "  [167 176 178]\n",
      "  [165 177 178]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 82  94 104]\n",
      "  ...\n",
      "  [152 161 164]\n",
      "  [154 163 168]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 83  92 105]\n",
      "  ...\n",
      "  [150 161 164]\n",
      "  [152 163 166]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [253   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [159 166 169]\n",
      "  ...\n",
      "  [171 177 179]\n",
      "  [169 176 175]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 84  98 108]\n",
      "  ...\n",
      "  [156 163 165]\n",
      "  [156 163 165]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 81  97 107]\n",
      "  ...\n",
      "  [154 161 164]\n",
      "  [152 161 164]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [139   0   0]\n",
      "  [  4   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [235   0   0]\n",
      "  [152   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [156 168 169]\n",
      "  ...\n",
      "  [172 178 181]\n",
      "  [173 179 182]\n",
      "  [230   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 78  97 109]\n",
      "  ...\n",
      "  [155 164 166]\n",
      "  [153 162 165]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 76  95 105]\n",
      "  ...\n",
      "  [152 161 164]\n",
      "  [151 160 163]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [253   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [159 166 168]\n",
      "  ...\n",
      "  [174 182 181]\n",
      "  [172 180 179]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 85  98 103]\n",
      "  ...\n",
      "  [155 162 164]\n",
      "  [155 162 164]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 90 106 115]\n",
      "  ...\n",
      "  [155 162 165]\n",
      "  [155 162 165]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [139   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [253   0   0]\n",
      "  [235   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [164 171 174]\n",
      "  ...\n",
      "  [168 177 179]\n",
      "  [167 176 178]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 76  94 104]\n",
      "  ...\n",
      "  [152 163 166]\n",
      "  [150 161 164]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 82  98 108]\n",
      "  ...\n",
      "  [157 164 167]\n",
      "  [156 163 166]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 62  63  77]\n",
      "  ...\n",
      "  [170 177 176]\n",
      "  [170 177 174]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 91 102 107]\n",
      "  ...\n",
      "  [150 163 166]\n",
      "  [152 166 167]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 96 107 112]\n",
      "  ...\n",
      "  [150 163 166]\n",
      "  [152 166 167]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [130 137 140]\n",
      "  ...\n",
      "  [166 177 180]\n",
      "  [166 177 180]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 81 100 108]\n",
      "  ...\n",
      "  [158 165 168]\n",
      "  [157 163 169]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 83  97 107]\n",
      "  ...\n",
      "  [156 164 163]\n",
      "  [160 167 169]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [163 165 176]\n",
      "  ...\n",
      "  [167 176 178]\n",
      "  [166 178 179]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 83 100 105]\n",
      "  ...\n",
      "  [157 166 171]\n",
      "  [156 162 168]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 82  99 104]\n",
      "  ...\n",
      "  [157 166 171]\n",
      "  [158 164 170]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [142 146 157]\n",
      "  ...\n",
      "  [168 174 180]\n",
      "  [168 174 180]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 74  98 106]\n",
      "  ...\n",
      "  [153 163 162]\n",
      "  [153 163 162]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 75  96 106]\n",
      "  ...\n",
      "  [153 161 160]\n",
      "  [155 162 164]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [119 132 135]\n",
      "  ...\n",
      "  [168 175 178]\n",
      "  [169 176 178]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 80  96 106]\n",
      "  ...\n",
      "  [159 166 168]\n",
      "  [153 162 164]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 80  96 106]\n",
      "  ...\n",
      "  [159 166 168]\n",
      "  [155 164 166]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 58  59  65]\n",
      "  ...\n",
      "  [170 176 178]\n",
      "  [169 176 178]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 81 100 110]\n",
      "  ...\n",
      "  [151 163 162]\n",
      "  [152 164 165]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 84 103 113]\n",
      "  ...\n",
      "  [150 162 161]\n",
      "  [153 165 166]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 79  85  92]\n",
      "  ...\n",
      "  [168 177 179]\n",
      "  [168 177 179]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 78  97 103]\n",
      "  ...\n",
      "  [157 163 165]\n",
      "  [159 165 167]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 78  97 103]\n",
      "  ...\n",
      "  [156 162 164]\n",
      "  [158 164 166]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]\n",
      "  [  0   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [157 171 170]\n",
      "  ...\n",
      "  [153 159 162]\n",
      "  [ 68  70  72]\n",
      "  [  0   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 69  86  92]\n",
      "  ...\n",
      "  [155 161 167]\n",
      "  [156 162 168]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 72  89  95]\n",
      "  ...\n",
      "  [153 162 165]\n",
      "  [154 163 166]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [156 165 168]\n",
      "  ...\n",
      "  [174 180 183]\n",
      "  [169 175 181]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 64  89  93]\n",
      "  ...\n",
      "  [148 157 160]\n",
      "  [151 163 164]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 68  93  97]\n",
      "  ...\n",
      "  [153 162 165]\n",
      "  [152 164 165]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [154 163 168]\n",
      "  ...\n",
      "  [169 177 174]\n",
      "  [169 177 176]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 67  86  98]\n",
      "  ...\n",
      "  [154 166 165]\n",
      "  [153 165 166]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 67  85 101]\n",
      "  ...\n",
      "  [153 165 166]\n",
      "  [152 164 165]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [253   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [158 167 169]\n",
      "  ...\n",
      "  [165 175 172]\n",
      "  [169 177 174]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 60  85  97]\n",
      "  ...\n",
      "  [155 164 166]\n",
      "  [154 163 166]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 59  84  96]\n",
      "  ...\n",
      "  [154 161 163]\n",
      "  [155 162 165]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [139   0   0]\n",
      "  [  4   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [253   0   0]\n",
      "  [235   0   0]\n",
      "  [152   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [162 171 173]\n",
      "  ...\n",
      "  [168 176 175]\n",
      "  [170 178 177]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 60  82  98]\n",
      "  ...\n",
      "  [152 161 164]\n",
      "  [150 161 164]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 65  87 103]\n",
      "  ...\n",
      "  [156 165 168]\n",
      "  [153 164 167]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [153 162 165]\n",
      "  ...\n",
      "  [170 177 176]\n",
      "  [171 178 177]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 64  81  96]\n",
      "  ...\n",
      "  [153 164 167]\n",
      "  [153 164 167]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 67  84 100]\n",
      "  ...\n",
      "  [153 163 162]\n",
      "  [153 163 162]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [253   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [157 164 166]\n",
      "  ...\n",
      "  [170 178 175]\n",
      "  [171 179 176]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 71  88  94]\n",
      "  ...\n",
      "  [153 162 165]\n",
      "  [152 161 166]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 72  89  95]\n",
      "  ...\n",
      "  [154 163 166]\n",
      "  [153 162 167]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [158 167 169]\n",
      "  ...\n",
      "  [168 176 175]\n",
      "  [166 176 175]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 67  79  96]\n",
      "  ...\n",
      "  [157 166 169]\n",
      "  [156 165 168]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 67  79  96]\n",
      "  ...\n",
      "  [153 162 165]\n",
      "  [152 161 164]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [159 170 173]\n",
      "  ...\n",
      "  [168 175 172]\n",
      "  [168 175 172]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 63  80  95]\n",
      "  ...\n",
      "  [157 164 167]\n",
      "  [156 163 166]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 61  78  93]\n",
      "  ...\n",
      "  [155 162 165]\n",
      "  [154 161 164]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [157 169 168]\n",
      "  ...\n",
      "  [171 178 181]\n",
      "  [168 177 180]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 68  86 101]\n",
      "  ...\n",
      "  [152 163 166]\n",
      "  [153 164 167]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 69  93 101]\n",
      "  ...\n",
      "  [158 166 165]\n",
      "  [158 168 167]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [159 168 170]\n",
      "  ...\n",
      "  [169 176 178]\n",
      "  [169 176 178]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 64  78  95]\n",
      "  ...\n",
      "  [159 166 168]\n",
      "  [158 165 167]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 61  75  92]\n",
      "  ...\n",
      "  [158 165 167]\n",
      "  [157 164 166]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [161 168 170]\n",
      "  ...\n",
      "  [168 177 180]\n",
      "  [169 176 179]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 59  75  85]\n",
      "  ...\n",
      "  [155 162 164]\n",
      "  [155 162 164]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 64  80  90]\n",
      "  ...\n",
      "  [153 160 162]\n",
      "  [153 160 162]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [154 163 166]\n",
      "  ...\n",
      "  [167 177 176]\n",
      "  [167 175 174]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 67  79  96]\n",
      "  ...\n",
      "  [152 161 164]\n",
      "  [154 161 164]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 71  84  99]\n",
      "  ...\n",
      "  [154 161 164]\n",
      "  [155 162 165]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [153 160 162]\n",
      "  ...\n",
      "  [170 177 180]\n",
      "  [169 176 179]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 62  86  95]\n",
      "  ...\n",
      "  [153 160 162]\n",
      "  [154 161 163]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 64  85  95]\n",
      "  ...\n",
      "  [152 159 161]\n",
      "  [153 160 162]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [164 172 167]\n",
      "  ...\n",
      "  [168 174 177]\n",
      "  [171 178 181]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 65  86 100]\n",
      "  ...\n",
      "  [155 165 164]\n",
      "  [151 161 160]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 64  85  99]\n",
      "  ...\n",
      "  [153 163 162]\n",
      "  [151 161 160]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [158 167 169]\n",
      "  ...\n",
      "  [174 182 181]\n",
      "  [172 179 181]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 54  82  93]\n",
      "  ...\n",
      "  [151 160 163]\n",
      "  [150 159 162]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 49  78  92]\n",
      "  ...\n",
      "  [150 159 162]\n",
      "  [149 158 161]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [162 165 171]\n",
      "  ...\n",
      "  [170 177 179]\n",
      "  [167 175 174]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 62  82 100]\n",
      "  ...\n",
      "  [153 160 162]\n",
      "  [152 159 161]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 60  80  98]\n",
      "  ...\n",
      "  [151 160 162]\n",
      "  [150 159 161]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [132 138 145]\n",
      "  ...\n",
      "  [165 172 174]\n",
      "  [168 175 177]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 58  82  90]\n",
      "  ...\n",
      "  [154 161 163]\n",
      "  [154 160 162]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 58  82  90]\n",
      "  ...\n",
      "  [153 160 162]\n",
      "  [152 158 160]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [101  98 110]\n",
      "  ...\n",
      "  [170 177 176]\n",
      "  [170 177 176]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 59  80  90]\n",
      "  ...\n",
      "  [154 163 165]\n",
      "  [154 163 166]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 63  84  94]\n",
      "  ...\n",
      "  [153 162 164]\n",
      "  [153 162 165]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [126 135 140]\n",
      "  ...\n",
      "  [170 173 177]\n",
      "  [172 175 179]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 68  80  99]\n",
      "  ...\n",
      "  [157 164 167]\n",
      "  [156 162 165]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 65  77  96]\n",
      "  ...\n",
      "  [156 163 166]\n",
      "  [157 163 166]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [156 162 168]\n",
      "  ...\n",
      "  [168 176 175]\n",
      "  [167 175 174]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 58  79  89]\n",
      "  ...\n",
      "  [149 161 162]\n",
      "  [151 163 164]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 62  83  93]\n",
      "  ...\n",
      "  [148 160 161]\n",
      "  [149 161 162]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [163 170 172]\n",
      "  ...\n",
      "  [167 174 177]\n",
      "  [168 175 178]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 68  80  97]\n",
      "  ...\n",
      "  [153 162 164]\n",
      "  [151 160 162]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 64  78  95]\n",
      "  ...\n",
      "  [154 163 165]\n",
      "  [154 163 165]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [163 169 171]\n",
      "  ...\n",
      "  [162 174 175]\n",
      "  [163 175 176]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 55  81  99]\n",
      "  ...\n",
      "  [154 161 163]\n",
      "  [151 158 160]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 60  81 103]\n",
      "  ...\n",
      "  [156 163 165]\n",
      "  [154 164 163]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [120 128 125]\n",
      "  ...\n",
      "  [162 171 173]\n",
      "  [164 173 175]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 69  87  99]\n",
      "  ...\n",
      "  [155 161 164]\n",
      "  [158 164 166]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 70  88 100]\n",
      "  ...\n",
      "  [155 161 164]\n",
      "  [156 162 164]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 50  49  61]\n",
      "  ...\n",
      "  [166 173 175]\n",
      "  [166 173 175]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 70  85 100]\n",
      "  ...\n",
      "  [149 161 162]\n",
      "  [147 159 160]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 71  88 103]\n",
      "  ...\n",
      "  [151 161 160]\n",
      "  [153 163 162]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 36  35  41]\n",
      "  ...\n",
      "  [167 174 177]\n",
      "  [164 173 176]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 86 100 109]\n",
      "  ...\n",
      "  [159 165 167]\n",
      "  [157 164 166]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 86 100 109]\n",
      "  ...\n",
      "  [158 164 166]\n",
      "  [156 163 165]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 31  42  57]\n",
      "  ...\n",
      "  [162 171 174]\n",
      "  [164 173 176]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 87  94 114]\n",
      "  ...\n",
      "  [158 165 168]\n",
      "  [159 166 168]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 88  94 111]\n",
      "  ...\n",
      "  [163 166 173]\n",
      "  [161 166 172]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "0\n",
      "['papa', 'suyash', 'vedant']\n",
      "[[[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 44  46  66]\n",
      "  ...\n",
      "  [165 174 179]\n",
      "  [165 174 179]\n",
      "  [255   0   0]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 66  92 101]\n",
      "  ...\n",
      "  [156 162 168]\n",
      "  [155 161 167]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [ 70  96 105]\n",
      "  ...\n",
      "  [157 163 169]\n",
      "  [156 162 168]\n",
      "  [255   0   0]]\n",
      "\n",
      " [[255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  ...\n",
      "  [255   0   0]\n",
      "  [255   0   0]\n",
      "  [255   0   0]]]\n",
      "Detected Image is 0 \n",
      "Make a wish   3\n"
     ]
    }
   ],
   "source": [
    "# destroy()\n",
    "print(\"This is face recognition system\")\n",
    "print()\n",
    "print()\n",
    "print(\"Enter your choice\")\n",
    "print(\"1] You have not trained yet...Let's Train\")\n",
    "print(\"2] Face recoginition\")\n",
    "print(\"3] Quit\")\n",
    "while(1):\n",
    "    wish=int(input(\"Make a wish   \"))\n",
    "    if wish==1: \n",
    "        print(\"you have selected wish 1\")\n",
    "        print(\"system is generating dataset , get ready to being captured...\")\n",
    "        print(\"initialising camera\")\n",
    "        facedetect()\n",
    "#         Imagerescale()\n",
    "#         deepModel()\n",
    "        model=ModelTrain()\n",
    "        savingModel(model)\n",
    "    elif wish==2:\n",
    "        print(\"you have selected wish 2\") \n",
    "        print(\"camera is being stated , get ready for predictions\")\n",
    "        classes,model=loadModel()\n",
    "        face_test(classes,model)\n",
    "        \n",
    "\n",
    "    elif wish==3:\n",
    "        break\n",
    "\n",
    "\n",
    "    else:\n",
    "        print(\"You have made wrong wish\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 1234 images belonging to 3 classes.\n",
      "{'papa': 0, 'suyash': 1, 'vedant': 2}\n",
      "Model: \"model_1\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "input_1 (InputLayer)         (None, 125, 125, 3)       0         \n",
      "_________________________________________________________________\n",
      "block1_conv1 (Conv2D)        (None, 125, 125, 64)      1792      \n",
      "_________________________________________________________________\n",
      "block1_conv2 (Conv2D)        (None, 125, 125, 64)      36928     \n",
      "_________________________________________________________________\n",
      "block1_pool (MaxPooling2D)   (None, 62, 62, 64)        0         \n",
      "_________________________________________________________________\n",
      "block2_conv1 (Conv2D)        (None, 62, 62, 128)       73856     \n",
      "_________________________________________________________________\n",
      "block2_conv2 (Conv2D)        (None, 62, 62, 128)       147584    \n",
      "_________________________________________________________________\n",
      "block2_pool (MaxPooling2D)   (None, 31, 31, 128)       0         \n",
      "_________________________________________________________________\n",
      "block3_conv1 (Conv2D)        (None, 31, 31, 256)       295168    \n",
      "_________________________________________________________________\n",
      "block3_conv2 (Conv2D)        (None, 31, 31, 256)       590080    \n",
      "_________________________________________________________________\n",
      "block3_conv3 (Conv2D)        (None, 31, 31, 256)       590080    \n",
      "_________________________________________________________________\n",
      "block3_pool (MaxPooling2D)   (None, 15, 15, 256)       0         \n",
      "_________________________________________________________________\n",
      "block4_conv1 (Conv2D)        (None, 15, 15, 512)       1180160   \n",
      "_________________________________________________________________\n",
      "block4_conv2 (Conv2D)        (None, 15, 15, 512)       2359808   \n",
      "_________________________________________________________________\n",
      "block4_conv3 (Conv2D)        (None, 15, 15, 512)       2359808   \n",
      "_________________________________________________________________\n",
      "block4_pool (MaxPooling2D)   (None, 7, 7, 512)         0         \n",
      "_________________________________________________________________\n",
      "block5_conv1 (Conv2D)        (None, 7, 7, 512)         2359808   \n",
      "_________________________________________________________________\n",
      "block5_conv2 (Conv2D)        (None, 7, 7, 512)         2359808   \n",
      "_________________________________________________________________\n",
      "block5_conv3 (Conv2D)        (None, 7, 7, 512)         2359808   \n",
      "_________________________________________________________________\n",
      "block5_pool (MaxPooling2D)   (None, 3, 3, 512)         0         \n",
      "_________________________________________________________________\n",
      "flatten_1 (Flatten)          (None, 4608)              0         \n",
      "_________________________________________________________________\n",
      "dense_1 (Dense)              (None, 2)                 9218      \n",
      "=================================================================\n",
      "Total params: 14,723,906\n",
      "Trainable params: 9,218\n",
      "Non-trainable params: 14,714,688\n",
      "_________________________________________________________________\n",
      "Found 1234 images belonging to 3 classes.\n",
      "Epoch 1/5\n"
     ]
    },
    {
     "ename": "ValueError",
     "evalue": "Error when checking target: expected dense_1 to have shape (2,) but got array with shape (3,)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-8-43230de271c8>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mmodel\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mModelTrain\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32m<ipython-input-7-dec4bce84d2c>\u001b[0m in \u001b[0;36mModelTrain\u001b[1;34m()\u001b[0m\n\u001b[0;32m     53\u001b[0m                               \u001b[0msteps_per_epoch\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mtrain_generator\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msamples\u001b[0m \u001b[1;33m//\u001b[0m \u001b[0mbatch_size\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     54\u001b[0m                               \u001b[0mvalidation_data\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mvalidation_generator\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 55\u001b[1;33m                              nb_val_samples= validation_generator.samples// batch_size,verbose=1)\n\u001b[0m\u001b[0;32m     56\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     57\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\NewAnaconda\\lib\\site-packages\\keras\\legacy\\interfaces.py\u001b[0m in \u001b[0;36mwrapper\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m     89\u001b[0m                 warnings.warn('Update your `' + object_name + '` call to the ' +\n\u001b[0;32m     90\u001b[0m                               'Keras 2 API: ' + signature, stacklevel=2)\n\u001b[1;32m---> 91\u001b[1;33m             \u001b[1;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     92\u001b[0m         \u001b[0mwrapper\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_original_function\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mfunc\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     93\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mwrapper\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\NewAnaconda\\lib\\site-packages\\keras\\engine\\training.py\u001b[0m in \u001b[0;36mfit_generator\u001b[1;34m(self, generator, steps_per_epoch, epochs, verbose, callbacks, validation_data, validation_steps, validation_freq, class_weight, max_queue_size, workers, use_multiprocessing, shuffle, initial_epoch)\u001b[0m\n\u001b[0;32m   1730\u001b[0m             \u001b[0muse_multiprocessing\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0muse_multiprocessing\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1731\u001b[0m             \u001b[0mshuffle\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mshuffle\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1732\u001b[1;33m             initial_epoch=initial_epoch)\n\u001b[0m\u001b[0;32m   1733\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1734\u001b[0m     \u001b[1;33m@\u001b[0m\u001b[0minterfaces\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mlegacy_generator_methods_support\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\NewAnaconda\\lib\\site-packages\\keras\\engine\\training_generator.py\u001b[0m in \u001b[0;36mfit_generator\u001b[1;34m(model, generator, steps_per_epoch, epochs, verbose, callbacks, validation_data, validation_steps, validation_freq, class_weight, max_queue_size, workers, use_multiprocessing, shuffle, initial_epoch)\u001b[0m\n\u001b[0;32m    218\u001b[0m                                             \u001b[0msample_weight\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0msample_weight\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    219\u001b[0m                                             \u001b[0mclass_weight\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mclass_weight\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 220\u001b[1;33m                                             reset_metrics=False)\n\u001b[0m\u001b[0;32m    221\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    222\u001b[0m                 \u001b[0mouts\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mto_list\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mouts\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\NewAnaconda\\lib\\site-packages\\keras\\engine\\training.py\u001b[0m in \u001b[0;36mtrain_on_batch\u001b[1;34m(self, x, y, sample_weight, class_weight, reset_metrics)\u001b[0m\n\u001b[0;32m   1506\u001b[0m             \u001b[0mx\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1507\u001b[0m             \u001b[0msample_weight\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0msample_weight\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1508\u001b[1;33m             class_weight=class_weight)\n\u001b[0m\u001b[0;32m   1509\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_uses_dynamic_learning_phase\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1510\u001b[0m             \u001b[0mins\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mx\u001b[0m \u001b[1;33m+\u001b[0m \u001b[0my\u001b[0m \u001b[1;33m+\u001b[0m \u001b[0msample_weights\u001b[0m \u001b[1;33m+\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\NewAnaconda\\lib\\site-packages\\keras\\engine\\training.py\u001b[0m in \u001b[0;36m_standardize_user_data\u001b[1;34m(self, x, y, sample_weight, class_weight, check_array_lengths, batch_size)\u001b[0m\n\u001b[0;32m    619\u001b[0m                 \u001b[0mfeed_output_shapes\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    620\u001b[0m                 \u001b[0mcheck_batch_axis\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mFalse\u001b[0m\u001b[1;33m,\u001b[0m  \u001b[1;31m# Don't enforce the batch size.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 621\u001b[1;33m                 exception_prefix='target')\n\u001b[0m\u001b[0;32m    622\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    623\u001b[0m             \u001b[1;31m# Generate sample-wise weight values given the `sample_weight` and\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\NewAnaconda\\lib\\site-packages\\keras\\engine\\training_utils.py\u001b[0m in \u001b[0;36mstandardize_input_data\u001b[1;34m(data, names, shapes, check_batch_axis, exception_prefix)\u001b[0m\n\u001b[0;32m    143\u001b[0m                             \u001b[1;34m': expected '\u001b[0m \u001b[1;33m+\u001b[0m \u001b[0mnames\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m+\u001b[0m \u001b[1;34m' to have shape '\u001b[0m \u001b[1;33m+\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    144\u001b[0m                             \u001b[0mstr\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mshape\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m+\u001b[0m \u001b[1;34m' but got array with shape '\u001b[0m \u001b[1;33m+\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 145\u001b[1;33m                             str(data_shape))\n\u001b[0m\u001b[0;32m    146\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0mdata\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    147\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mValueError\u001b[0m: Error when checking target: expected dense_1 to have shape (2,) but got array with shape (3,)"
     ]
    }
   ],
   "source": [
    "model=ModelTrain()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## accuracy graphs\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 800 images belonging to 2 classes.\n",
      "{'suyash': 0, 'vedant': 1}\n",
      "Model: \"model_1\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "input_1 (InputLayer)         (None, 125, 125, 3)       0         \n",
      "_________________________________________________________________\n",
      "block1_conv1 (Conv2D)        (None, 125, 125, 64)      1792      \n",
      "_________________________________________________________________\n",
      "block1_conv2 (Conv2D)        (None, 125, 125, 64)      36928     \n",
      "_________________________________________________________________\n",
      "block1_pool (MaxPooling2D)   (None, 62, 62, 64)        0         \n",
      "_________________________________________________________________\n",
      "block2_conv1 (Conv2D)        (None, 62, 62, 128)       73856     \n",
      "_________________________________________________________________\n",
      "block2_conv2 (Conv2D)        (None, 62, 62, 128)       147584    \n",
      "_________________________________________________________________\n",
      "block2_pool (MaxPooling2D)   (None, 31, 31, 128)       0         \n",
      "_________________________________________________________________\n",
      "block3_conv1 (Conv2D)        (None, 31, 31, 256)       295168    \n",
      "_________________________________________________________________\n",
      "block3_conv2 (Conv2D)        (None, 31, 31, 256)       590080    \n",
      "_________________________________________________________________\n",
      "block3_conv3 (Conv2D)        (None, 31, 31, 256)       590080    \n",
      "_________________________________________________________________\n",
      "block3_pool (MaxPooling2D)   (None, 15, 15, 256)       0         \n",
      "_________________________________________________________________\n",
      "block4_conv1 (Conv2D)        (None, 15, 15, 512)       1180160   \n",
      "_________________________________________________________________\n",
      "block4_conv2 (Conv2D)        (None, 15, 15, 512)       2359808   \n",
      "_________________________________________________________________\n",
      "block4_conv3 (Conv2D)        (None, 15, 15, 512)       2359808   \n",
      "_________________________________________________________________\n",
      "block4_pool (MaxPooling2D)   (None, 7, 7, 512)         0         \n",
      "_________________________________________________________________\n",
      "block5_conv1 (Conv2D)        (None, 7, 7, 512)         2359808   \n",
      "_________________________________________________________________\n",
      "block5_conv2 (Conv2D)        (None, 7, 7, 512)         2359808   \n",
      "_________________________________________________________________\n",
      "block5_conv3 (Conv2D)        (None, 7, 7, 512)         2359808   \n",
      "_________________________________________________________________\n",
      "block5_pool (MaxPooling2D)   (None, 3, 3, 512)         0         \n",
      "_________________________________________________________________\n",
      "flatten_1 (Flatten)          (None, 4608)              0         \n",
      "_________________________________________________________________\n",
      "dense_1 (Dense)              (None, 2)                 9218      \n",
      "=================================================================\n",
      "Total params: 14,723,906\n",
      "Trainable params: 9,218\n",
      "Non-trainable params: 14,714,688\n",
      "_________________________________________________________________\n",
      "Found 800 images belonging to 2 classes.\n",
      "Epoch 1/5\n",
      "40/40 [==============================] - 331s 8s/step - loss: 0.1971 - accuracy: 0.9175 - val_loss: 0.0271 - val_accuracy: 0.9800\n",
      "Epoch 2/5\n",
      "40/40 [==============================] - 301s 8s/step - loss: 0.0373 - accuracy: 0.9937 - val_loss: 0.0519 - val_accuracy: 0.9975\n",
      "Epoch 3/5\n",
      "40/40 [==============================] - 295s 7s/step - loss: 0.0268 - accuracy: 0.9937 - val_loss: 0.0105 - val_accuracy: 1.0000\n",
      "Epoch 4/5\n",
      "40/40 [==============================] - 306s 8s/step - loss: 0.0178 - accuracy: 0.9987 - val_loss: 0.0103 - val_accuracy: 0.9962\n",
      "Epoch 5/5\n",
      "40/40 [==============================] - 317s 8s/step - loss: 0.0135 - accuracy: 0.9987 - val_loss: 0.0150 - val_accuracy: 1.0000\n"
     ]
    }
   ],
   "source": [
    "\n",
    "train_dir=\"F:\\OPENCV\\data\\data1\"\n",
    "\n",
    "\n",
    "train_datagen=ImageDataGenerator(rescale=1./255,\n",
    "                                   shear_range=0.2,\n",
    "                                 rotation_range=40,\n",
    "                                 fill_mode='nearest',\n",
    "                                   zoom_range=0.2,\n",
    "                                   validation_split=0.2, # validation split 10%.\n",
    "                                   horizontal_flip=True)\n",
    "\n",
    "img_width,img_height =125,125\n",
    "input_shape=(img_width,img_height,3)\n",
    "batch_size =20\n",
    "# change\n",
    "train_generator =train_datagen.flow_from_directory(train_dir,\n",
    "                                               target_size=(img_width,img_height),\n",
    "                                               batch_size=batch_size)\n",
    "\n",
    "num_classes= len(train_generator.class_indices)\n",
    "\n",
    "print(train_generator.class_indices)\n",
    "\n",
    "vgg=VGG16(input_shape=input_shape,weights='imagenet',include_top=False)\n",
    "\n",
    "for l in vgg.layers:\n",
    "    l.trainable=False\n",
    "\n",
    "x=Flatten()(vgg.output)\n",
    "\n",
    "\n",
    "prd=Dense(2,activation='softmax')(x)\n",
    "model=Model(inputs=vgg.input,outputs=prd)\n",
    "\n",
    "model.summary()\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "validation_generator = train_datagen.flow_from_directory(\n",
    "    train_dir, # same directory as training data\n",
    "    target_size=(img_height, img_width),\n",
    "    batch_size=batch_size) \n",
    "\n",
    "#     # Model building to get trained with parameters.\n",
    "opt=keras.optimizers.Adam(lr=0.001)\n",
    "model.compile(optimizer=opt,loss='categorical_crossentropy',metrics=['accuracy'])\n",
    "train=model.fit_generator(train_generator,\n",
    "                          nb_epoch=5,\n",
    "                          steps_per_epoch=train_generator.samples // batch_size,\n",
    "                          validation_data=validation_generator,\n",
    "                         nb_val_samples= validation_generator.samples// batch_size,verbose=1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(train.history['loss'])\n",
    "plt.plot(train.history['val_loss'])\n",
    "plt.title('Model Loss')\n",
    "plt.ylabel('Loss')\n",
    "plt.xlabel('Epochs')\n",
    "plt.legend(['train', 'val'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(train.history['accuracy'])\n",
    "plt.plot(train.history['val_accuracy'])\n",
    "plt.title('Model Accuracy')\n",
    "plt.ylabel('Accuracy')\n",
    "plt.xlabel('Epochs')\n",
    "plt.legend(['train', 'validationj'])\n",
    "plt.show()\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": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}