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Merge pull request #24610 from jimmylaw21:dnn-onnx-add-group-norm-layer

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dnn onnx: add group norm layer #24610

dnn onnx: add group norm layer

Todo:

- [x] speed up by multi-threading
- [x] add perf
- [x] add backend: OpenVINO
- [x] add backend: CUDA
- [x] add backend: OpenCL (no fp16)
- [ ] add backend: CANN

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake

Co-authored-by: fengyuentau <yuantao.feng@opencv.org.cn>
This commit is contained in:
jimmylaw21
2024-01-12 20:13:26 +08:00
committed by GitHub
parent 97c418ab86
commit a7fa1e6f4b
13 changed files with 486 additions and 1 deletions
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modules/dnn/src/init.cpp
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@@ -163,6 +163,7 @@ void initializeLayerFactory()
CV_DNN_REGISTER_LAYER_CLASS(Expand, ExpandLayer);
CV_DNN_REGISTER_LAYER_CLASS(InstanceNormalization, InstanceNormLayer);
CV_DNN_REGISTER_LAYER_CLASS(Attention, AttentionLayer);
CV_DNN_REGISTER_LAYER_CLASS(GroupNormalization, GroupNormLayer);
CV_DNN_REGISTER_LAYER_CLASS(Crop, CropLayer);
CV_DNN_REGISTER_LAYER_CLASS(Eltwise, EltwiseLayer);