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This repository has been archived by the owner on Mar 23, 2024. It is now read-only.
When you do cam preprocessing,the function transform_batch_images is not called.But the result of cam images is right.Why?Did you trained model without the function transform_batch_images?
The text was updated successfully, but these errors were encountered:
I also noticed this difference. There is no normalization (with imagenet_mean and imagenet_std values) in cam.py because transform_batch_images is not called. Because of it test.py and cam.py return different predictions for same images. As I understand this normalization is a part of input pipeline during training, so this function should be called in cam.py, too.
When you do cam preprocessing,the function transform_batch_images is not called.But the result of cam images is right.Why?Did you trained model without the function transform_batch_images?
The text was updated successfully, but these errors were encountered: