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rauldds / Hyperspectral_CT_Recon

Build a prototyping pipeline to test different hyperspectral reconstruction and segmentation approaches leveraging public data and/or simulated data.
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Augmentations for training #22

Closed luisdavid64 closed 1 year ago

luisdavid64 commented 1 year ago

Since the data is mostly round petri dishes, the network should not be using the shape of the objects for predictions, but rather the hyperspectral data. It makes sense to leverage augmentations as this might help the network to focus on the hyperspectral "texture" rather than the shape.