data_creation.ipynb

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   ],
   "source": [
    "import cv2\n",
    "from cvzone.HandTrackingModule import HandDetector\n",
    "import numpy as np\n",
    "import math\n",
    "import time\n",
    "cap = cv2.VideoCapture(1)\n",
    "detector = HandDetector(maxHands=1)\n",
    "offset = 20\n",
    "imgSize = 300\n",
    "folder = \"Data/hello\"\n",
    "counter = 0\n",
    "while True:\n",
    "    success, img = cap.read()\n",
    "    hands, img = detector.findHands(img)\n",
    "    if hands:\n",
    "        hand = hands[0]\n",
    "        x, y, w, h = hand['bbox']\n",
    "        imgWhite = np.ones((imgSize, imgSize, 3), np.uint8) * 255\n",
    "        imgCrop = img[y - offset:y + h + offset, x - offset:x + w + offset]\n",
    "        imgCropShape = imgCrop.shape\n",
    "        aspectRatio = h / w\n",
    "        if aspectRatio > 1:\n",
    "            k = imgSize / h\n",
    "            wCal = math.ceil(k * w)\n",
    "            imgResize = cv2.resize(imgCrop, (wCal, imgSize))\n",
    "            imgResizeShape = imgResize.shape\n",
    "            wGap = math.ceil((imgSize - wCal) / 2)\n",
    "            imgWhite[:, wGap:wCal + wGap] = imgResize\n",
    "        else:\n",
    "            k = imgSize / w\n",
    "            hCal = math.ceil(k * h)\n",
    "            imgResize = cv2.resize(imgCrop, (imgSize, hCal))\n",
    "            imgResizeShape = imgResize.shape\n",
    "            hGap = math.ceil((imgSize - hCal) / 2)\n",
    "            imgWhite[hGap:hCal + hGap, :] = imgResize\n",
    "        cv2.imshow(\"ImageCrop\", imgCrop)\n",
    "        cv2.imshow(\"ImageWhite\", imgWhite)\n",
    "    cv2.imshow(\"Image\", img)\n",
    "    key = cv2.waitKey(1)\n",
    "    if key == ord(\"s\"):\n",
    "        counter += 1\n",
    "        cv2.imwrite(f'{folder}/Image_{time.time()}.jpg',imgWhite)\n",
    "        print(counter)\n",
    "    if key == ord('q'):\n",
    "        break\n",
    "cap.release()\n",
    "cv2.destroyAllWindows()"
   ]
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