Piv ac3ab27ddd Add model with no batch normalisation, use actual mobilnet model rather than extracting layers ...

Found from DenseDepth, each layer can be set to trainable in the encoder, then the outputs of the
model and the required layers for skip connections can be used directly. Ends up being much cleaner

2021-03-24 20:00:26 +10:30

fast_depth_functional.py

Add model with no batch normalisation, use actual mobilnet model rather than extracting layers

2021-03-24 20:00:26 +10:30

main.py

Add working train and eval functions for nyu_v2

2021-03-21 09:51:45 +10:30

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