collecting Images.ipynb

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   "cell_type": "code",
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   "source": [
    "import cv2\n",
    "import os\n",
    "import time\n",
    "import uuid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "6645d58d",
   "metadata": {},
   "outputs": [],
   "source": [
    "PATH = 'Tensorflow/workspace/images/collectedimages'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "5b518798",
   "metadata": {},
   "outputs": [],
   "source": [
    "labels = ['helloo','thanks','yes','no','Enjoy']\n",
    "number_imgs = 25"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "4aa432ad",
   "metadata": {},
   "outputs": [
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     "name": "stdout",
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     "text": [
      "Collecting images for helloo\n",
      "Collecting images for thanks\n",
      "Collecting images for yes\n",
      "Collecting images for no\n",
      "Collecting images for loveyou\n"
     ]
    }
   ],
   "source": [
    "for label in labels:\n",
    "    !mkdir {'Tensorflow\\workspace\\images\\collectedimages\\\\'+label}\n",
    "    cap=cv2.VideoCapture(0)\n",
    "    print('Collecting images for {}'.format(label))\n",
    "    time.sleep(4)\n",
    "    for imgnum in range(number_imgs):\n",
    "        ret,frame = cap.read()\n",
    "        imgname = os.path.join(PATH,label,label+'.'+'{}.jpg'.format(str(uuid.uuid1())))\n",
    "        cv2.imwrite(imgname,frame)\n",
    "        cv2.imshow('frame',frame)\n",
    "        time.sleep(1)\n",
    "\n",
    "        if cv2.waitKey(1) and 0xFF == ord('q'):\n",
    "            break\n",
    "    cap.release()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b9f85460",
   "metadata": {},
   "outputs": [],
   "source": []
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