Script to convert Mask R-CNN model to ONNX
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Description
Hi all,
I am able to load and use your ONNX Mask R-CNN model following your very detailed instructions, which is great.
Given that, I was wondering if you could provide more details around the script you used to convert the original trained model to ONNX.
I come from a PyTorch background and I am having hard times to get the official torchvision model exported correctly to ONNX, so I hoped you guys could share the code you used to do that (even if you didn't train the model in PyTorch in the first place).
It would be super helpful!
Thanks a lot
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- Fork the repository and make your change on a branch.
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Research direction
Start with the linked Mask R-CNN model instructions and the official torchvision export path mentioned in the issue. Determine which conversion script or procedure produced the linked ONNX model, then document it and verify that the documented process can reproduce a usable ONNX Mask R-CNN model.
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Assessment
- Tech stack
- python, pytorch
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100