Validation for weights tensor to have same number of classes as the number of annotated classes

mlexchange / mlex_highres_segmentation

A Dash interface for ML-based segmentation of user-annotated large multi-dimensional image data

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Validation for weights tensor to have same number of classes as the number of annotated classes #187

Open rajasriramoju opened 3 months ago

rajasriramoju commented 3 months ago

In the test data that was annotate by Rama, we had 4 classes annotated, and when we tried to train the model, the weights from a previous training run were used, which had 2 values due to 2 classes. There was no validation done to match the new number of annotated classes, but the training fails. A check needs to placed to match the number of classes and weights.