face_images_preprocessing.ipynb

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   "source": [
    "import cv2\n",
    "import os\n",
    "\n",
    "dim1,dim2 = 28,28\n",
    "\n",
    "founders=['Jeff Bezos','Larry Page','Bill Gates']\n",
    "\n",
    "for founder in founders:\n",
    "\n",
    "    #prefix=r'.\\data\\google\\{}'.format(founder)\n",
    "    prefix=r'.\\data\\bing\\{}'.format(founder)\n",
    "    folder=prefix+'\\\\faces_{}x{}'.format(str(dim1),str(dim2))\n",
    "    os.makedirs(folder,exist_ok=True)\n",
    "\n",
    "    image_list=[os.path.join(prefix, partial) for partial in os.listdir(prefix)]\n",
    "\n",
    "    count=0\n",
    "    for i in range(len(image_list[:-1])-1):\n",
    "        image = cv2.imread(image_list[i])\n",
    "        gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)\n",
    "        faceCascade = cv2.CascadeClassifier(cv2.data.haarcascades + \"haarcascade_frontalface_default.xml\")\n",
    "        faces = faceCascade.detectMultiScale(\n",
    "                gray,\n",
    "                scaleFactor=1.1,\n",
    "                minNeighbors=4,\n",
    "                minSize=(100, 100)\n",
    "        ) \n",
    "        for (x, y, w, h) in faces:\n",
    "            crop_img = gray[y:y+h, x:x+w]\n",
    "            resized_img=cv2.resize(crop_img,(dim1,dim2))\n",
    "            path=folder+\"\\\\{}_{}.jpg\".format(founder.replace(\" \",\"_\"),count)\n",
    "            cv2.imwrite(path, resized_img)\n",
    "            count+=1"
   ]
  }
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