Mask-RCNN weights (h5) to onnx model
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Description
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Question
I am trying to convert my Mask-RCNN custom models trained on ResNet50 and ResNet101 to onnx (to get an optimised inference using TensorRT). I cannot find any guid to do so. Is there any general/suggested method of doing so ?
Is this issue related to a specific model?
Model name (e.g. mnist): Mask-RCNN
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Research direction
The issue names custom Mask-RCNN models trained with ResNet50/ResNet101 and a target of ONNX/TensorRT; start by determining whether the repository contains a conversion entry point or guidance for these models. Done would require a documented, general method, but no file, test, or acceptance criterion is provided.
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Assessment
- Domain
- computer-vision, machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100