ShiqiYu / ShiqiYu/libfacedetection
how to using onnx model without cv FaceDetectorYN
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Description
I didn't find relevant code in <opencv2/objdetect/face.hpp>. Could you please explain the meaning of these outputs? I want to integrate them into another platform where I can't use OpenCV
this is face_detection_yunet_2023mar.onnx outputs
0 cls_8: [1, 6400, 1]
1 cls_16: [1, 1600, 1]
2 cls_32: [1, 400, 1]
3 obj_8: [1, 6400, 1]
4 obj_16: [1, 1600, 1]
5 obj_32: [1, 400, 1]
6 bbox_8: [1, 6400, 4]
7 bbox_16: [1, 1600, 4]
8 bbox_32: [1, 400, 4]
9 kps_8: [1, 6400, 10]
10 kps_16: [1, 1600, 10]
11 kps_32: [1, 400, 10]
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with opencv2/objdetect/face.hpp and the face_detection_yunet_2023mar.onnx output names and shapes listed in the issue. Trace how FaceDetectorYN interprets cls, obj, bbox, and kps outputs, then document the meanings needed to integrate the model without OpenCV. Done means the output tensors and their platform-independent interpretation are clearly explained.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- cpp
- Domain
- computer-vision
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100