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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 pSp model checkpoint')
self.parser.add_argument('--data_path', type=str, default='gt_images', help='Path to directory of images to evaluate')
self.parser.add_argument('--couple_outputs', action='store_true', help='Whether to also save inputs + outputs side-by-side')
self.parser.add_argument('--resize_outputs', action='store_true', help='Whether to resize outputs to 256x256 or keep at 1024x1024')
self.parser.add_argument('--test_batch_size', default=2, type=int, help='Batch size for testing and inference')
self.parser.add_argument('--test_workers', default=2, type=int, help='Number of test/inference dataloader workers')
# arguments for style-mixing script
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('--n_outputs_to_generate', type=int, default=5, help='Number of outputs to generate per input image.')
self.parser.add_argument('--mix_alpha', type=float, default=None, help='Alpha value for style-mixing')
self.parser.add_argument('--latent_mask', type=str, default=None, help='Comma-separated list of latents to perform style-mixing with')
# arguments for super-resolution
self.parser.add_argument('--resize_factors', type=str, default=None,
help='Downsampling factor for super-res (should be a single value for inference).')
def parse(self):
opts = self.parser.parse_args()
return opts |