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PhysAugNet 1.0.1
VQ-VQE powered augmentation for metal defect segmentation
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Functions | |
| reconstruct_folder (input_dir, output_dir, model_path, image_size=(128, 128), config_path="configs/default.yaml") | |
Variables | |
| parser = argparse.ArgumentParser() | |
| required | |
| type | |
| str | |
| default | |
| args = parser.parse_args() | |
| infer.reconstruct_folder | ( | input_dir, | |
| output_dir, | |||
| model_path, | |||
| image_size = (128, 128), | |||
| config_path = "configs/default.yaml" ) |