pytorch-CycleGAN-and-pix2pix
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Images are getting predicted with inverted color
I am working on medical imaging data and I am trying to convert one class to image to another, the images are spatially correlated, the main differences lie in color. But the colors are getting predicted inverse, that mean the white part of the images are getting colors like the ROI (in my case the ROIs are cells) and the ROI parts are getting white. Anyone else had similar issues? Please help