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Allow extract_square_images to work on multiple images

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This commit is contained in:
James Betker 2020-11-14 20:24:05 -07:00
parent 125cb16dce
commit 4c6b14a3f8
1 changed files with 8 additions and 4 deletions
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12
codes/scripts/extract_square_images.py
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@ -13,14 +13,18 @@ import torch
def main():
split_img = False
opt = {}
opt['n_thread'] = 20
opt['n_thread'] = 5
opt['compression_level'] = 90 # JPEG compression quality rating.
# CV_IMWRITE_PNG_COMPRESSION from 0 to 9. A higher value means a smaller size and longer
# compression time. If read raw images during training, use 0 for faster IO speed.
opt['dest'] = 'file'
opt['input_folder'] = 'F:\\4k6k\\datasets\\ns_images\\imagesets\\imgset2'
opt['save_folder'] = 'F:\\4k6k\\datasets\\ns_images\\imagesets\\imgset_raw_2'
opt['input_folder'] = ['F:\\4k6k\\datasets\\images\\div2k\\DIV2K_train_HR',
'F:\\4k6k\\datasets\\images\\flickr\\flickr2k\\Flickr2K_HR',
'F:\\4k6k\\datasets\\images\\flickr\\flickr-scrape\\filtered',
'F:\\4k6k\\datasets\\images\\goodeats\\hq\\new_season\\images',
'F:\\4k6k\datasets\\images\\youtube\\images']
opt['save_folder'] = 'F:\\4k6k\\datasets\\images\\ge_full_1024'
opt['imgsize'] = 1024
save_folder = opt['save_folder']
@ -35,7 +39,7 @@ class TiledDataset(data.Dataset):
def __init__(self, opt):
self.opt = opt
input_folder = opt['input_folder']
self.images = data_util._get_paths_from_images(input_folder)
self.images = data_util.get_image_paths('img', input_folder)[0]
def __getitem__(self, index):
return self.get(index)