Postprocessing - Ultraface within TensorRT Inference
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Description
Hello Everyone,
i wrote a Inference within Nvidias TensorRT and got Predictions from my model.
However i dont know how to properly postprocess the predictions to get and draw the right bboxes.
I do know that i have to do some NMS.
Can anyone help and show me which Code-Snippets to use for my specific use-case?
I found an interesting Plugin https://github.com/NVIDIA/TensorRT/tree/master/plugin/batchedNMSPlugin but i dont know how to integrate it.
Model: https://github.com/onnx/models/blob/master/vision/body_analysis/ultraface/models/version-RFB-640.onnx
Inference:
inference_face_detection.txt
Thanks for your help and have a nice day!
Toni
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Research direction
Start with inference_face_detection.txt and the linked version-RFB-640.onnx model to identify the prediction outputs. Then read TensorRT's batchedNMSPlugin documentation and examples to determine how it relates to this inference flow. Done would be documented, use-case-specific guidance for postprocessing and drawing the correct bounding boxes.
Written by the indexing model from the issue text.
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
- 18/100