8000 Add domain support to model diagnostic tool by rogday · Pull Request #21357 · opencv/opencv · GitHub
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Add domain support to model diagnostic tool #21357

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Merged
merged 1 commit into from
Jan 18, 2022

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rogday
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@rogday rogday commented Dec 28, 2021

Related: #21343

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 other license that is incompatible with OpenCV
  • The PR is proposed to proper branch
  • There is reference to 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

@rogday rogday added bug feature category: dnn (onnx) ONNX suport issues in DNN module labels Dec 28, 2021
@asmorkalov asmorkalov requested a review from sl-sergei December 29, 2021 11:49
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Thank you! 👍

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@alalek alalek left a comment

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Thank you!

const auto& dispatch = importer->getDispatchMap(node_proto);
if (dispatch.find(type) == dispatch.end())
{
addMissing(type, name, LayerPayload{layer_type_domain});
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When should "missing list" be cleared?

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For ONNX we can clear his list right after we print it. TF uses this list for its NotImplemented layer.

@opencv-pushbot opencv-pushbot merged commit 6ffa2b0 into opencv:4.x Jan 18, 2022
@rogday rogday deleted the model_diag branch January 18, 2022 19:14
@alalek alalek mentioned this pull request Feb 22, 2022
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