Task6-FaceRecognition/Capture 100 photos.ipynb

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      "Collecting Samples Complete\n"
     ]
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   "source": [
    "# part 1 - captures the photo of user\n",
    "import cv2\n",
    "import numpy as np\n",
    "\n",
    "face_classifier = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')\n",
    "\n",
    "def face_extractor(img):\n",
    "    \n",
    "    gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)\n",
    "    faces = face_classifier.detectMultiScale(gray, 1.3, 5)\n",
    "    \n",
    "    if faces is ():\n",
    "        return None\n",
    "    \n",
    "    for (x,y,w,h) in faces:\n",
    "        cropped_face = img[y:y+h, x:x+w]\n",
    "\n",
    "    return cropped_face\n",
    "\n",
    "cap = cv2.VideoCapture(0)\n",
    "count = 0\n",
    "\n",
    "while True:\n",
    "\n",
    "    ret, frame = cap.read()\n",
    "    if ret==True:\n",
    "        frame = cv2.flip(frame,1)\n",
    "        \n",
    "    if face_extractor(frame) is not None:\n",
    "        count += 1\n",
    "        face = cv2.resize(face_extractor(frame), (300, 300))\n",
    "        face = cv2.cvtColor(face, cv2.COLOR_BGR2GRAY)\n",
    "\n",
    "        file_name_path = './1daksh/d_2_' + str(count) + '.jpg'\n",
    "        cv2.imwrite(file_name_path, face)\n",
    "\n",
    "        cv2.putText(face, str(count), (50, 50), cv2.FONT_HERSHEY_COMPLEX, 1, (0,255,0), 2)\n",
    "        cv2.imshow('Face Cropper', face)\n",
    "        \n",
    "    else:\n",
    "        print(\"Face not found\")\n",
    "        pass\n",
    "\n",
    "    if cv2.waitKey(1) == 13 or count == 100:\n",
    "        break\n",
    "        \n",
    "cap.release()\n",
    "cv2.destroyAllWindows()      \n",
    "print(\"Collecting Samples Complete\")"
   ]
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