Comments (1)
Yep, that's correct. train.py
will train the Spatial Transformer Network (with multiple output heads for the clustering case). Then, passing that checkpoint into train_cluster_classifier.py
via --ckpt
will train a ResNet classifier that figures out which of the STN's output heads should be used when given a new input image (STN weights are frozen in train_cluster_classifier
).
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