I hope you can provide 3D align-pooling layer directly. Pray.
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- Python
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Description
I see that 2D align-pooling has been implemented, but there is no 3D one. I do target detection of 3D voxels. The input data format is (batch, channel, depth, height, w). I customized a 3D align-pooling Op. However, there is a big problem in the deployment. The custom OP needs to be registered in the torchscript. In this way, the model can be exported normally, and finally the model can be loaded on the C + + side.I tried for months, but it didn't work. I hope you can provide 3D align-pooling layer directly. Pray.
cc @fmassa @vfdev-5
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
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Research direction
Start by reviewing the existing 2D align-pooling implementation and the TorchScript custom-operator registration path. Check the requested (batch, channel, depth, height, width) voxel input and C++ loading workflow; done means a 3D align-pooling layer can be exported and loaded without a custom deployment workaround.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- cpp, python
- Domain
- computer-vision, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 25/100