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Fixed ReduceMean layer behaviour #25120

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merged 3 commits into from
Mar 4, 2024
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LaurentBerger
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Pull Request Readiness Checklist

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

  • I agree to contribute to the project under Apache 2 License.
  • 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
  • The PR is proposed to the proper branch
  • There is a reference to the original bug report and related work
  • [] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
    Patch to opencv_extra has the same branch name.
  • The feature is well documented and sample code can be built with the project CMake

https://github.com/microsoft/onnxruntime/blob/a93c31e3c9971063d8dfe45a627a80cbdcf99ed9/onnxruntime/core/providers/cpu/reduction/reduction_ops.cc#L433-L443

@asmorkalov asmorkalov changed the title solved bug Fixed ReduceMean layer behaviour Feb 29, 2024
@asmorkalov asmorkalov added bug category: dnn (onnx) ONNX suport issues in DNN module category: dnn and removed category: dnn (onnx) ONNX suport issues in DNN module labels Feb 29, 2024
@asmorkalov asmorkalov added this to the 4.10.0 milestone Feb 29, 2024
@fengyuentau fengyuentau linked an issue Feb 29, 2024 that may be closed by this pull request
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@asmorkalov asmorkalov added the pr: needs test New functionality requires minimal tests set label Feb 29, 2024
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@LaurentBerger Thanks a lot for the patch! Could you add a test with the case in the ticket. You can use this test as an example:

TEST(Layer_Test_Convolution, relu_fusion)

@asmorkalov asmorkalov removed the pr: needs test New functionality requires minimal tests set label Feb 29, 2024
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👍 Thanks a lot for the contribution.

@asmorkalov asmorkalov merged commit 5fe3933 into opencv:4.x Mar 4, 2024
25 of 27 checks passed
@asmorkalov asmorkalov mentioned this pull request Mar 6, 2024
@asmorkalov asmorkalov mentioned this pull request Apr 1, 2024
klatism pushed a commit to klatism/opencv that referenced this pull request May 17, 2024
Fixed ReduceMean layer behaviour opencv#25120

### 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
- [x] There is a reference to the original bug report and related work
- [] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake

https://github.com/microsoft/onnxruntime/blob/a93c31e3c9971063d8dfe45a627a80cbdcf99ed9/onnxruntime/core/providers/cpu/reduction/reduction_ops.cc#L433-L443
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Results with ONNX and opencv are different for reduceMean
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