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