Misc
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@ -23,8 +23,8 @@ def main():
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if mode == 'single':
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opt['dest'] = 'file'
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opt['input_folder'] = 'F:\\4k6k\\datasets\\ns_images\\imagesets\\images-half'
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opt['save_folder'] = 'F:\\4k6k\\datasets\\ns_images\\imagesets\\new_tiles'
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opt['input_folder'] = 'F:\\4k6k\\datasets\\ns_images\\vixen\\full_video_segments'
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opt['save_folder'] = 'F:\\4k6k\\datasets\\ns_images\\vixen\\full_video_256_tiled_with_ref'
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opt['crop_sz'] = [256, 512, 1024] # the size of each sub-image
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opt['step'] = [256, 512, 1024] # step of the sliding crop window
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opt['thres_sz'] = 128 # size threshold
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@ -32,7 +32,7 @@ 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_blur_discriminator.yml')
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parser.add_argument('-opt', type=str, help='Path to option YAML file.', default='../options/train_exd_imgset_spsr5_spine_no_pretrain.yml')
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parser.add_argument('--launcher', choices=['none', 'pytorch'], default='none', help='job launcher')
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parser.add_argument('--local_rank', type=int, default=0)
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args = parser.parse_args()
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