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Need to train hyperspectral data, how can I build a training dataset from scracth and a ground truth array/image to be used for the same? Spectral python doesn't support training by png files.

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We need to manually create masks for particular classes on any 2D image and convert it into a .raw ENVI file with a single band.

Ground truth image need not be a hypercube necessarily.