Comments (3)
- Thanks for the issue. I updated the default value of batch_size_val in the config files.
- We follow the previous DeepLab in Caffe where the crop size need to be 8*n+1 (this is due to the implementation of the
interp' layer that needs to do align corners). 8*n is also fine now in PyTorch
interpolate' function. - At the time of the development of this repo, sync bn is not included in the official PyTorch. You can use PyTorch 1.1 or newer versions with sync bn incorporated.
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Hi, hengshuang:
why input size in pspnet must be 8*n+1?
from semseg.
And why use Apex? Is it better than original pytorch-distributed??
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