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Onnx importer2 dispatch map#28032

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Merged
asmorkalov merged 3 commits intoopencv:5.xfromnklskyoy:onnx-importer2-dispatch-map
Nov 18, 2025

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in the new onnx_importer all domains in the dispatch map should be included per default.
See#27988 (comment)

Pull Request Readiness Checklist

See details athttps://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

@asmorkalovasmorkalov added feature category: dnn (onnx)ONNX suport issues in DNN module labelsNov 18, 2025
@asmorkalovasmorkalov self-assigned thisNov 18, 2025
@asmorkalovasmorkalov added this to the5.0-release milestoneNov 18, 2025
@asmorkalovasmorkalov merged commit15dc935 intoopencv:5.xNov 18, 2025
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@nklskyoynklskyoy mentioned this pull requestNov 22, 2025
6 tasks
asmorkalov pushed a commit that referenced this pull requestNov 26, 2025
Onnx importer2 dispatch map#28058I have noticed that PR[28032](#28032) was incomplete - it fixed only the new ONNX importer. Also, building the dispatch map based on the parsed opset version hypotetically can cause trouble if the graph simplifier inserts a node with a different opset version which is not included in the dispatch map. So I removed this parameter in `buildDispatchMap_COM_MICROSOFT` and `buildDispatchMap_ONNX_AI` for now. It was marked as `CV_UNUSED` anyway. ### Pull Request Readiness ChecklistSee details athttps://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- [ ] 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
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category: dnn (onnx)ONNX suport issues in DNN modulefeature

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