{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "import os\n",
    "import torch\n",
    "import matplotlib.pyplot as plt\n",
    "import torchvision.transforms.functional as trans_f\n",
    "\n",
    "rootdir = os.path.abspath(sys.path[0] + '/../')\n",
    "sys.path.append(rootdir)\n",
    "torch.cuda.set_device(2)\n",
    "print(\"Set CUDA:%d as current device.\" % torch.cuda.current_device())\n",
    "\n",
    "from components import refine\n",
    "from utils import img\n",
    "\n",
    "img = img.load(os.path.join(rootdir, \"data/gas_2021.01.04_all_in_one/output/mid_0536.png\"))\n",
    "\n",
    "fe = 0.2\n",
    "leng_sigma = [0,3,5]\n",
    "\n",
    "mean, enhanced = refine.constrast_enhance(img, 3, 0.5)\n",
    "img.save(enhanced, \"mid_enhanced.png\")\n",
    "\n",
    "plt.figure(figsize=(12,12))\n",
    "plt.subplot(121)\n",
    "img.plot(img)\n",
    "plt.title('Original')\n",
    "plt.axis('off')\n",
    "plt.subplot(122)\n",
    "img.plot(enhanced)\n",
    "plt.title('Enhanced')\n",
    "plt.axis('off')\n",
    "plt.show()\n",
    "\n"
   ]
  }
 ],
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