mirror of
https://github.com/Deepshift/DeepCreamPy.git
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40 lines
1.8 KiB
Python
Executable File
40 lines
1.8 KiB
Python
Executable File
import argparse
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def str2floatarr(v):
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if type(v) == str:
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try:
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return [float(v) for v in v.split(',')]
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except:
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raise argparse.ArgumentTypeError('Integers separated by commas expected.')
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else:
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raise argparse.ArgumentTypeError('Integers separated by commas expected.')
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def str2bool(v):
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if v.lower() in ('yes', 'true', 't', 'y', '1', True):
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return True
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elif v.lower() in ('no', 'false', 'f', 'n', '0', False):
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return False
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else:
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raise argparse.ArgumentTypeError('Boolean value expected.')
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def get_args():
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parser = argparse.ArgumentParser(description='')
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#Input output folders settings
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parser.add_argument('--decensor_input_path', default='./decensor_input/', help='input images with censored regions colored green to be decensored by decensor.py path')
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parser.add_argument('--decensor_input_original_path', default='./decensor_input_original/', help='input images with no modifications to be decensored by decensor.py path')
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parser.add_argument('--decensor_output_path', default='./decensor_output/', help='output images generated from running decensor.py path')
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#Decensor settings
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parser.add_argument('--mask_color_red', default=0, help='red channel of mask color in decensoring')
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parser.add_argument('--mask_color_green', default=255, help='green channel of mask color in decensoring')
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parser.add_argument('--mask_color_blue', default=0, help='blue channel of mask color in decensoring')
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parser.add_argument('--is_mosaic', type=str2bool, default='False', help='true if image has mosaic censoring, false otherwise')
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parser.add_argument('--variations', type=int, choices=[1, 2, 4], default=1, help='number of decensor variations to be generated')
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args = parser.parse_args()
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return args
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if __name__ == '__main__':
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get_args()
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