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 aging self.parser.add_argument('--target_age', type=str, default=None, help='Target age for inference. Can be comma-separated list for multiple ages.') # arguments for reference guided aging inference self.parser.add_argument('--ref_images_paths_file', type=str, default='./ref_images.txt', help='Path to file containing a list of reference images to use for ' 'reference guided inference.') def parse(self): opts = self.parser.parse_args() return opts