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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 | train_vqvae |
Functions | |
| train_vqvae.main (config_path="configs/default.yaml") | |
Variables | |
| train_vqvae.parser = argparse.ArgumentParser() | |
| train_vqvae.type | |
| train_vqvae.str | |
| train_vqvae.default | |
| train_vqvae.args = parser.parse_args() | |