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from argparse import ArgumentParser |
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class TestOptions: |
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def __init__(self): |
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self.parser = ArgumentParser() |
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self.initialize() |
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def initialize(self): |
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self.parser.add_argument('--exp_dir', type=str, help='Path to experiment output directory') |
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self.parser.add_argument('--checkpoint_path', default=None, type=str, help='Path to model checkpoint') |
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self.parser.add_argument('--couple_outputs', action='store_true', |
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help='Whether to also save inputs + outputs side-by-side') |
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self.parser.add_argument('--mapper_type', default='LevelsMapper', type=str, help='Which mapper to use') |
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self.parser.add_argument('--no_coarse_mapper', default=False, action="store_true") |
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self.parser.add_argument('--no_medium_mapper', default=False, action="store_true") |
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self.parser.add_argument('--no_fine_mapper', default=False, action="store_true") |
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self.parser.add_argument('--stylegan_size', default=1024, type=int) |
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self.parser.add_argument('--test_batch_size', default=2, type=int, help='Batch size for testing and inference') |
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self.parser.add_argument('--latents_test_path', default=None, type=str, help="The latents for the validation") |
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self.parser.add_argument('--test_workers', default=2, type=int, |
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help='Number of test/inference dataloader workers') |
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self.parser.add_argument('--n_images', type=int, default=None, |
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help='Number of images to output. If None, run on all data') |
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self.parser.add_argument('--run_id', type=str, default='PKNWUQRQRKXQ', |
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help='The generator id to use') |
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self.parser.add_argument('--image_name', type=str, default='', |
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help='image to run on') |
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self.parser.add_argument('--edit_name', type=str, default='', |
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help='edit type') |
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def parse(self): |
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opts = self.parser.parse_args() |
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return opts |
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