A PROJECT WITH OPENCV ON LIVE FACE CAPTURE AND LIVE FACE DETECTION.ipynb

{
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  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2e4261c0",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "bc8b5e14",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "< cv2.VideoCapture 0000014A9D92E010>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vid = cv2.VideoCapture(0)\n",
    "vid"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "be4c1cf5",
   "metadata": {},
   "source": [
    " Live Capturing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "fbd53b2b",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "\n",
    "vid = cv2.VideoCapture(0)\n",
    "\n",
    "while True:\n",
    "    success, frame = vid.read()\n",
    "    if not success:\n",
    "        # If unable to read frame, break the loop\n",
    "        break\n",
    "    \n",
    "    cv2.imshow(\"Video\", frame)\n",
    "    if cv2.waitKey(1) & 0xFF == 27:\n",
    "        break\n",
    "\n",
    "vid.release()\n",
    "cv2.destroyAllWindows()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a3bf1372",
   "metadata": {},
   "source": [
    "Live capturing with face detections"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "f58e6f0d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "< cv2.VideoCapture 0000014A9D92E290>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vid = cv2.VideoCapture(0)\n",
    "vid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "d660da44",
   "metadata": {},
   "outputs": [],
   "source": [
    "face_cascade =cv2.CascadeClassifier('haarcascade_frontalface_default .xml')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "a8131c25",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "vid = cv2.VideoCapture(0)\n",
    "\n",
    "while True:\n",
    "    success, frame = vid.read()\n",
    "    \n",
    "    if frame is not None and frame.shape[0] > 0 and frame.shape[1] > 0:\n",
    "        faces = face_cascade.detectMultiScale(frame)\n",
    "        for (x,y,w,h) in faces:\n",
    "            cv2.rectangle(frame,(x,y),(x+w,y+h),color=(255,0,255),thickness=3)\n",
    "        \n",
    "            cv2.imshow(\"Video\", frame)\n",
    "\n",
    "    if cv2.waitKey(1) & 0xFF == 27:\n",
    "        break\n",
    "\n",
    "vid.release()\n",
    "cv2.destroyAllWindows()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4427271d",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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