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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 yolox in c++ opencv_zoo#177 (review)
  • 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

@fengyuentau fengyuentau self-assigned this Oct 20, 2023
@fengyuentau fengyuentau self-requested a review October 20, 2023 15:30
@LaurentBerger
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How can I write test in buildbot without model @fengyuentau ?

@fengyuentau
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You need to submit a PR to https://github.com/opencv/opencv_extra adding an item in models in https://github.com/opencv/opencv_extra/blob/4.x/testdata/dnn/download_models.py. Note that a same branch name is required (yoloxdectector in this case).

Also note that YOLOX has been added:

https://github.com/opencv/opencv_extra/blob/7d91e2cd6ceee3d3ee3dbfed95189d68eed42318/testdata/dnn/download_models.py#L1011-L1015C34

So taking test_face.cpp as an example, you need to create a dedicated test file for your API, then find the model via:

    std::string model = findDataFile("dnn/yolox_s.onnx", false);

@LaurentBerger LaurentBerger mentioned this pull request Dec 12, 2023
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@LaurentBerger LaurentBerger marked this pull request as ready for review December 13, 2023 07:43
@LaurentBerger
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This PR it's a waste of time

@LaurentBerger LaurentBerger mentioned this pull request Dec 16, 2023
6 tasks
@LaurentBerger LaurentBerger deleted the yoloxdectector branch May 15, 2024 12:08
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3 participants