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Fixes #25760

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
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C:\build\precommit_windows64\4.x\opencv\modules\video\src\tracking\tracker_vit.cpp(106): warning C4244: 'initializing': conversion from 'double' to 'float', possible loss of data [C:\build\precommit_windows64\build\modules\video\opencv_video.vcxproj]
C:\build\precommit_windows64\4.x\opencv\modules\video\src\tracking\tracker_vit.cpp(107): warning C4244: 'initializing': conversion from 'double' to 'float', possible loss of data [C:\build\precommit_windows64\build\modules\video\opencv_video.vcxproj]

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 [----------] 1 test from vittrack
[ RUN      ] vittrack.accuracy_vittrack
Unmatched IOU:  expect IOU val (0.642462) > the IOU threadhold (0.65)! Box 0 is [58 x 108 from (329, 88)], and Box 1 is [78 x 125 from (311, 83)]
/home/ci/opencv/modules/video/test/test_trackers.cpp:110: Failure
Value of: checkIOU(roi, targetRois[i], iouThreshold)
  Actual: false
Expected: true
Fail at img 4.
[  FAILED  ] vittrack.accuracy_vittrack (95 ms)

@asmorkalov asmorkalov self-requested a review June 18, 2024 07:15
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Tested manually with Ubuntu 20.04.

@asmorkalov asmorkalov merged commit e3884a9 into opencv:4.x Jun 18, 2024
@asmorkalov asmorkalov self-assigned this Jun 18, 2024
@fengyuentau fengyuentau deleted the vittrack_black_input branch June 19, 2024 05:21
@asmorkalov asmorkalov mentioned this pull request Jul 1, 2024
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dnn/video: TrackerVit crashes when target is lost

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