psnr.ipynb
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "automotive-circus",
"metadata": {},
"outputs": [
{
"output_type": "error",
"ename": "ModuleNotFoundError",
"evalue": "No module named 'cv2'",
"traceback": [
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[1;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)",
"\u001b[1;32m<ipython-input-1-03d1a01a87c6>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0mglob\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mglob\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[1;32mimport\u001b[0m \u001b[0mcv2\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 3\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0mtqdm\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mtqdm\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[0mgt_list\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0msorted\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mglob\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"../bbb_sunflower_1080p/*.png\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'cv2'"
]
}
],
"source": [
"from glob import glob\n",
"import cv2\n",
"from tqdm import tqdm\n",
"\n",
"gt_list = sorted(glob(\"../bbb_sunflower_1080p/*.png\"))\n",
"sr_list = sorted(glob(\"./experiment/test/results-Demo/*.png\"))"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "unique-wichita",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|██████████| 1800/1800 [02:55<00:00, 10.24it/s]\n"
]
}
],
"source": [
"with open(\"result.csv\", \"w\") as f:\n",
" f.write(\"idx,psnr\\n\");\n",
" for idx, (gt, sr) in tqdm(enumerate(zip(gt_list, sr_list)), total=len(sr_list)):\n",
" gt_img = cv2.imread(gt)\n",
" sr_img = cv2.imread(sr)\n",
" psnr = cv2.PSNR(gt_img, sr_img)\n",
" f.write(f\"{idx},{psnr}\\n\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "raised-projector",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.7"
}
},
"nbformat": 4,
"nbformat_minor": 5
}