create_4_folds_dataset.ipynb

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   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
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   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import tqdm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
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    {
     "name": "stderr",
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     "text": [
      "100%|██████████| 65/65 [02:08<00:00,  1.97s/it]\n"
     ]
    },
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   "source": [
    "mid = 14830 // 2\n",
    "for i in tqdm.tqdm(range(65)):\n",
    "    img = cv2.imread(f'../data/train/2/surface_volume/{i:02}.tif')\n",
    "    img2 = img[:mid, :, :]\n",
    "    img3 = img[mid:, :, :]\n",
    "    cv2.imwrite(f'../data_4_folds/train/2/surface_volume/{i:02}.tif', img2, params=(cv2.IMWRITE_TIFF_COMPRESSION, 1))\n",
    "    cv2.imwrite(f'../data_4_folds/train/3/surface_volume/{i:02}.tif', img3, params=(cv2.IMWRITE_TIFF_COMPRESSION, 1))\n",
    "\n",
    "inklabels = cv2.imread('../data/train/2/inklabels.png')\n",
    "inklabels2 = inklabels[:mid, :, :]\n",
    "inklabels3 = inklabels[mid:, :, :]\n",
    "cv2.imwrite('../data_4_folds/train/2/inklabels.png', inklabels2, params=[cv2.IMWRITE_PNG_COMPRESSION, 0])\n",
    "cv2.imwrite('../data_4_folds/train/3/inklabels.png', inklabels3, params=[cv2.IMWRITE_PNG_COMPRESSION, 0])\n",
    "\n",
    "ir = cv2.imread('../data/train/2/ir.png')\n",
    "ir2 = ir[:mid, :, :]\n",
    "ir3 = ir[mid:, :, :]\n",
    "cv2.imwrite('../data_4_folds/train/2/ir.png', ir2, params=[cv2.IMWRITE_PNG_COMPRESSION, 0])\n",
    "cv2.imwrite('../data_4_folds/train/3/ir.png', ir3, params=[cv2.IMWRITE_PNG_COMPRESSION, 0])\n",
    "\n",
    "mask = cv2.imread('../data/train/2/mask.png')\n",
    "mask2 = mask[:mid, :, :]\n",
    "mask3 = mask[mid:, :, :]\n",
    "cv2.imwrite('../data_4_folds/train/2/mask.png', mask2, params=[cv2.IMWRITE_PNG_COMPRESSION, 0])\n",
    "cv2.imwrite('../data_4_folds/train/3/mask.png', mask3, params=[cv2.IMWRITE_PNG_COMPRESSION, 0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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