[engine.predictor] Allow prediction to work when batch-size!=0; Discard CSVs and use JSON for output; Implement lightning logging like in training; Separates batched (collated) data at prediction; Adapts all models to new paradigm; Remove CSVPredictionsWriter; Adapt predict script to all changes

[ptbench.engine] Simplified, documented and created type hints for the ``callbacks`` module; Added type hints to the resource module

Daniel CARRON authored 1 year ago and André Anjos committed 1 year ago

Implemented BCEWithLogitsLoss reweighting function
Removed save_hyperparameters from model
Apply augmentation transforms on singular images
Fixed model summary

Daniel CARRON authored 1 year ago and André Anjos committed 1 year ago

Relevance analysis has been moved out of predict.py and into a separate
script. It is not currently functional.

Some DensenetRS-specific code has been removed from predictor.py, it
will have to be re-added directly inside the forward of the DensenetRS model.