Lecture 4 Background Subtraction & Image From Video.ipynb

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    "import cv2"
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   "execution_count": 21,
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    "org_v = cv2.VideoCapture(\"men.mp4\")\n",
    "sub_m = cv2.createBackgroundSubtractorMOG2()  #mask\n",
    "\n",
    "while True:\n",
    "    r, frame = org_v.read()\n",
    "    if r == True:\n",
    "        frame = cv2.resize(frame, (700,500))\n",
    "        sub_v = sub_m.apply(frame)\n",
    "        cv2.imshow(\"Subtracted Video\", sub_v)\n",
    "        cv2.imshow(\"Video Calling Men\", frame)\n",
    "        if cv2.waitKey(25) & 0xff == ord(\"p\"):\n",
    "            break\n",
    "    else:\n",
    "        break\n",
    "\n",
    "org_v.release()\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
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   "id": "ecfaa0af",
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   "outputs": [],
   "source": []
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   "cell_type": "markdown",
   "id": "1e203b0b",
   "metadata": {},
   "source": [
    "## Extract Images from Video"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "86ccddd4",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "64489b41",
   "metadata": {},
   "outputs": [],
   "source": [
    "cap = cv2.VideoCapture(\"meet.mp4\")\n",
    "c = 0\n",
    "\n",
    "while True:\n",
    "    r, frame = cap.read()\n",
    "    if r == True:\n",
    "        file_name = \"C://Users/PMLS//Documents//ML//OpenCV//extract image from video//Org_img_\" + str(c)+\".png\"\n",
    "        cv2.imwrite(file_name, frame)\n",
    "        \n",
    "        cv2.imshow(\"Video\", frame)\n",
    "        c = c+1\n",
    "        if cv2.waitKey(25) & 0xff == ord(\"p\"):\n",
    "            break\n",
    "    else:\n",
    "        break\n",
    "        \n",
    "cap.release()\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a52b5aee",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "07d711d4",
   "metadata": {},
   "source": [
    "## cvtColor Method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "99b12a2c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "80ee3509",
   "metadata": {},
   "outputs": [],
   "source": [
    "org = cv2.imread(\"rooshan.jpg\")\n",
    "org = cv2.resize(org, (600,500))\n",
    "\n",
    "new = cv2.cvtColor(org, cv2.COLOR_BGR2YCrCb)\n",
    "\n",
    "cv2.imshow(\"Rooshan\", org)\n",
    "cv2.imshow(\"New Image\", new)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7e242dfa",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "66c9d304",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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