LCFCN
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Issue with testing a tif image
Hi Issam,
I trained the LCFCN for a cell counting use case. When I test a TIF image, the model gives the following error, RuntimeError: output with shape [1, 2048, 2048] doesn't match the broadcast shape [3, 2048, 2048] But when I convert the same image to a JPG, the model predicts the count. On the downside, since I convert to a JPG, there is some information loss and the cell count is not accurate. May I know why is this happening and how to solve this?
Thanks, Srikanth
Is there a way you can make the TIF image have 3 channels in the first dimension without having to convert it to JPG?