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Could you please provide a mechanism for querying the NN input and output sizes? (currently everything is 128x128, but it sounds like people want to move to 512x512). PtychoNN only supports square detectors at the moment, but it might be good to design the API with support for rectangular detectors.
This should probably be a parameter of the Tester/model classes.
The text was updated successfully, but these errors were encountered:
It looks like the current implementation of ReconSmallPhaseModel is actually input shape agnostic? There is a minimum supported input size (16x16), but since the model is convolution based the model architecture is somewhat independent of the input/output data.
We could include the name of the model and the training data size in the filename instead of just calling it best_model.pth. So something like SmallReconModel_32x32.pth.
Could you please provide a mechanism for querying the NN input and output sizes? (currently everything is 128x128, but it sounds like people want to move to 512x512). PtychoNN only supports square detectors at the moment, but it might be good to design the API with support for rectangular detectors.
This should probably be a parameter of the Tester/model classes.
The text was updated successfully, but these errors were encountered: