Untitled.ipynb

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   "execution_count": 6,
   "metadata": {},
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    {
     "ename": "error",
     "evalue": "OpenCV(3.4.1) C:\\Miniconda3\\conda-bld\\opencv-suite_1533128839831\\work\\modules\\imgproc\\src\\color.cpp:11147: error: (-215) scn == 3 || scn == 4 in function cv::cvtColor\n",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31merror\u001b[0m                                     Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-6-85d7dac7ff4b>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m     11\u001b[0m     \u001b[0mret\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mframe\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mvideo_capture\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mread\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     12\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 13\u001b[1;33m     \u001b[0mgray\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcv2\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcvtColor\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mframe\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcv2\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mCOLOR_BGR2GRAY\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     14\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     15\u001b[0m     faces = faceCascade.detectMultiScale(\n",
      "\u001b[1;31merror\u001b[0m: OpenCV(3.4.1) C:\\Miniconda3\\conda-bld\\opencv-suite_1533128839831\\work\\modules\\imgproc\\src\\color.cpp:11147: error: (-215) scn == 3 || scn == 4 in function cv::cvtColor\n"
     ]
    }
   ],
   "source": [
    "import cv2\n",
    "import sys\n",
    "\n",
    "cascPath = sys.argv[1]\n",
    "faceCascade = cv2.CascadeClassifier(cascPath)\n",
    "\n",
    "video_capture = cv2.VideoCapture(0)\n",
    "\n",
    "while True:\n",
    "    # Capture frame-by-frame\n",
    "    ret, frame = video_capture.read()\n",
    "\n",
    "    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)\n",
    "\n",
    "    faces = faceCascade.detectMultiScale(\n",
    "        gray,\n",
    "        scaleFactor=1.1,\n",
    "        minNeighbors=5,\n",
    "        minSize=(30, 30),\n",
    "        flags=cv2.CASCADE_SCALE_IMAGE\n",
    "    )\n",
    "\n",
    "    # Draw a rectangle around the faces\n",
    "    for (x, y, w, h) in faces:\n",
    "        cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)\n",
    "\n",
    "    # Display the resulting frame\n",
    "    cv2.imshow('Video', frame)\n",
    "\n",
    "    if cv2.waitKey(1) & 0xFF == ord('q'):\n",
    "        break\n",
    "\n",
    "# When everything is done, release the capture\n",
    "video_capture.release()\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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