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Hi, I have one more question regarding efficientnet input resolution. Looks like you are passing 512x512 irrespective of EfficientNet-B version, but they have some recommendation of input resolution in original paper. Have you tested them and they work fine even if input resolution is uniform.
Thanks,
Veeru.
The text was updated successfully, but these errors were encountered:
I made tests with 256, 512 image sizes. So there is a lot of research to make.
You can change input size in src/common/config.py as well as all the others MaskRCNN parameters.
Hi, I have one more question regarding efficientnet input resolution. Looks like you are passing 512x512 irrespective of EfficientNet-B version, but they have some recommendation of input resolution in original paper. Have you tested them and they work fine even if input resolution is uniform.
Thanks,
Veeru.
The text was updated successfully, but these errors were encountered: