Question about kernel size of class LastLevelMaxPool(ExtraFPNBlock) in feature_pyramid_network.py
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Description
❓ Questions and Help
Why the pool kernel = 1? I think it should be 2 (my understanding is that kernel = 1 won't do max pooling correctly.
line 175: x.append(F.max_pool2d(x[-1], 1, 2, 0))
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Research direction
Start with feature_pyramid_network.py at line 175 and read the surrounding LastLevelMaxPool implementation. Verify the positional arguments passed to F.max_pool2d and the expected feature-pyramid output shape; done means providing an evidence-based explanation or correcting the call if the kernel size is wrong.
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Assessment
- Tech stack
- python
- Domain
- computer-vision
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100