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PhysAugNet 1.0.1
VQ-VQE powered augmentation for metal defect segmentation
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Public Member Functions | |
| __init__ (self, in_channels=3, embedding_dim=64, num_embeddings=512) | |
| forward (self, x) | |
Public Attributes | |
| encoder | |
| vq = VectorQuantizer(num_embeddings, embedding_dim) | |
| decoder | |
| vqvae.VQVAE.__init__ | ( | self, | |
| in_channels = 3, | |||
| embedding_dim = 64, | |||
| num_embeddings = 512 ) |
| vqvae.VQVAE.decoder |
| vqvae.VQVAE.encoder |
| vqvae.VQVAE.vq = VectorQuantizer(num_embeddings, embedding_dim) |