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