deepinsight / deepinsight/insightface
scrfd how to convert to onnx?
- Dominant language
- Python
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Description
While using scrfd2onnx.py, what should be the values of build_model_from_cfg, generate_inputs_and_wrap_model, and preprocess_example_input in `from mmdet.core import (build_model_from_cfg, generate_inputs_and_wrap_model, preprocess_example_input)`
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Research direction
Start with scrfd2onnx.py and inspect the imported build_model_from_cfg, generate_inputs_and_wrap_model, and preprocess_example_input references from mmdet.core. Check the project’s supported MMDetection version and run the conversion entry point. Done means the required values and compatible usage are documented well enough for SCRFD conversion to ONNX.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100