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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
The text was updated successfully, but these errors were encountered:
srikrvd
changed the title
Issue with testing a tif issue
Issue with testing a tif image
Sep 10, 2019
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
The text was updated successfully, but these errors were encountered: