Misc
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@ -13,18 +13,18 @@ import data.util as data_util # noqa: E402
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def main():
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mode = 'single' # single (one input folder) | pair (extract corresponding GT and LR pairs)
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split_img = True
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split_img = False
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opt = {}
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opt['n_thread'] = 20
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opt['compression_level'] = 3 # 3 is the default value in cv2
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# CV_IMWRITE_PNG_COMPRESSION from 0 to 9. A higher value means a smaller size and longer
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# compression time. If read raw images during training, use 0 for faster IO speed.
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if mode == 'single':
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opt['input_folder'] = 'F:\\4k6k\\datasets\\vrp\\images_sized'
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opt['save_folder'] = 'F:\\4k6k\\datasets\\vrp\\images_tiled'
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opt['crop_sz'] = 320 # the size of each sub-image
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opt['input_folder'] = 'F:\\4k6k\\datasets\\sft_ns_images\\images'
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opt['save_folder'] = 'F:\\4k6k\\datasets\\sft_ns_images\\images_tiled'
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opt['crop_sz'] = 300 # the size of each sub-image
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opt['step'] = 280 # step of the sliding crop window
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opt['thres_sz'] = 200 # size threshold
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opt['thres_sz'] = 120 # size threshold
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extract_single(opt, split_img)
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elif mode == 'pair':
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GT_folder = '../../datasets/div2k/DIV2K_train_HR'
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@ -17,7 +17,7 @@ if __name__ == "__main__":
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torch.backends.cudnn.benchmark = True
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want_just_images = True
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parser = argparse.ArgumentParser()
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parser.add_argument('-opt', type=str, help='Path to options YMAL file.', default='../options/test_ESRGAN_adrianna_full.yml')
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parser.add_argument('-opt', type=str, help='Path to options YMAL file.', default='../options/upsample_full_movie.yml')
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opt = option.parse(parser.parse_args().opt, is_train=False)
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opt = option.dict_to_nonedict(opt)
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@ -30,7 +30,7 @@ def init_dist(backend='nccl', **kwargs):
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def main():
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#### options
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parser = argparse.ArgumentParser()
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parser.add_argument('-opt', type=str, help='Path to option YAML file.', default='../options/train_vix_biggan.yml')
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parser.add_argument('-opt', type=str, help='Path to option YAML file.', default='../options/finetune_hoh_resgen_xl_blurring.yml')
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parser.add_argument('--launcher', choices=['none', 'pytorch'], default='none',
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help='job launcher')
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parser.add_argument('--local_rank', type=int, default=0)
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