resize.ipynb
1.87 KB
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "ahead-paste",
"metadata": {},
"outputs": [],
"source": [
"from glob import glob\n",
"import cv2\n",
"\n",
"images = sorted(glob(\"../bbb_sunflower_540p/*.png\"))"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "rapid-tension",
"metadata": {},
"outputs": [],
"source": [
"from pathlib import Path\n",
"Path(\"../dataset/DIV2K/DIV2K_train_HR\").mkdir(parents=True, exist_ok=True)\n",
"Path(\"../dataset/DIV2K/DIV2K_train_LR_bicubic/X2\").mkdir(parents=True, exist_ok=True)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "visible-texas",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|██████████| 1800/1800 [01:21<00:00, 22.00it/s]\n"
]
}
],
"source": [
"from tqdm import tqdm\n",
"for image in tqdm(images):\n",
" hr = cv2.imread(image, cv2.IMREAD_COLOR)\n",
" lr = cv2.resize(hr, dsize=(480, 270), interpolation=cv2.INTER_CUBIC)\n",
"\n",
" cv2.imwrite(\"../dataset/DIV2K/DIV2K_train_HR/\" + Path(image).name, hr)\n",
" cv2.imwrite(\"../dataset/DIV2K/DIV2K_train_LR_bicubic/X2/\" + Path(image).stem + \"x2.png\", lr)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "fallen-religion",
"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
}