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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
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