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Closed
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clip13 #27570

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nklskyoy
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clip13 is produced by pytorch when exporting paligemma to onnx.
https://onnx.ai/onnx/operators/onnx__Clip.html

Existing clip can't handle cases where min max are non-const.

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

@asmorkalov asmorkalov requested a review from vpisarev July 21, 2025 10:26
@asmorkalov asmorkalov added GSoC category: dnn (onnx) ONNX suport issues in DNN module labels Jul 21, 2025
@asmorkalov
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The PR breaks existing NanoTrack tracker in video (dnn based):

[ RUN      ] NanoTrack.accuracy_NanoTrack_V1
unknown file: error: SEH exception with code 0xc0000005 thrown in the test body.
[  FAILED  ] NanoTrack.accuracy_NanoTrack_V1 (16 ms)

@asmorkalov
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@nklskyoy friendly reminder

@nklskyoy
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The PR breaks existing NanoTrack tracker in video (dnn based):

[ RUN      ] NanoTrack.accuracy_NanoTrack_V1
unknown file: error: SEH exception with code 0xc0000005 thrown in the test body.
[  FAILED  ] NanoTrack.accuracy_NanoTrack_V1 (16 ms)

@asmorkalov not sure how to reproduce, since there is no data for the test locally.

@asmorkalov
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Closed as #27624 has broader types support.

@asmorkalov asmorkalov closed this Aug 8, 2025
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3 participants