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{
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 "cells": [
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  {
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   "cell_type": "code",
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   "execution_count": 1,
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   "id": "97c42d59-343d-4e6a-97ef-6c65d5741cbb",
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   "metadata": {},
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   "outputs": [],
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   "source": [
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    "# BME-1301 Lab-2: Segmentation using U-Net"
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   ]
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  },
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  {
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   "cell_type": "code",
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   "execution_count": 12,
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   "id": "ca2c07d8-7fcb-4a76-a700-1aedd0318a41",
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   "metadata": {},
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   "outputs": [],
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   "source": [
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    "import os\n",
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    "from PIL import Image\n",
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    "all_label_path = 'C:/Users/DELL/Desktop/homework/bme1301 transfer/ACDC-2D-All/ACDC-2D-one/val/GT/'\n",
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    "all_label_list = os.listdir(all_label_path)\n",
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    "all_label_path = [os.path.join(all_label_path,all_label_list[i]) for i in range(len(all_label_list))]\n",
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    "#print(all_label_path)\n",
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    "\n",
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    "\n",
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    "for path in all_label_path:\n",
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    "    img = Image.open(path)\n",
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    "    im=np.array(img)\n",
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    "    im[im<255]=0\n",
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    "    img = Image.fromarray(im)\n",
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    "    img.save(path)\n",
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    "    "
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   ]
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  },
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  {
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   "cell_type": "code",
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   "execution_count": null,
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   "id": "81eed033-a9af-47de-b7ca-e6bac10071c4",
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   "metadata": {},
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   "outputs": [],
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   "source": []
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  }
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 ],
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 "metadata": {
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  "kernelspec": {
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   "display_name": "Python 3 (ipykernel)",
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   "language": "python",
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   "name": "python3"
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  },
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  "language_info": {
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   "codemirror_mode": {
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    "name": "ipython",
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    "version": 3
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   },
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   "file_extension": ".py",
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   "mimetype": "text/x-python",
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   "name": "python",
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   "nbconvert_exporter": "python",
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   "pygments_lexer": "ipython3",
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   "version": "3.9.13"
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  }
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 },
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 "nbformat": 4,
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 "nbformat_minor": 5
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}