resize.ipynb
3.09 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "ahead-paste",
"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-ff55b1ddb4f1>\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;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[0mimages\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_540p/*.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",
"\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
}