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##### System information (version)
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<!-- Example
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- OpenCV => 4.2
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- Operating System / Platform => Windows 64 Bit
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- Compiler => Visual Studio 2017
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-->
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- OpenCV => :grey_question:
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- Operating System / Platform => :grey_question:
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- Compiler => :grey_question:
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##### Detailed description
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<!-- your description -->
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##### Steps to reproduce
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<!-- to add code example fence it with triple backticks and optional file extension
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```.cpp
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// C++ code example
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```
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or attach as .txt or .zip file
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-->
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##### Issue submission checklist
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- [ ] I report the issue, it's not a question
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<!--
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OpenCV team works with answers.opencv.org, Stack Overflow and other communities
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to discuss problems. Tickets with question without real issue statement will be
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closed.
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-->
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- [ ] I checked the problem with documentation, FAQ, open issues,
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answers.opencv.org, Stack Overflow, etc and have not found solution
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<!--
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Places to check:
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* OpenCV documentation: https://docs.opencv.org
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* FAQ page: https://github.com/opencv/opencv/wiki/FAQ
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* OpenCV forum: https://answers.opencv.org
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* OpenCV issue tracker: https://github.com/opencv/opencv/issues?q=is%3Aissue
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* Stack Overflow branch: https://stackoverflow.com/questions/tagged/opencv
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-->
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- [ ] I updated to latest OpenCV version and the issue is still there
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<!--
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master branch for OpenCV 4.x and 3.4 branch for OpenCV 3.x releases.
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OpenCV team supports only latest release for each branch.
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The ticket is closed, if the problem is not reproduced with modern version.
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-->
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- [ ] There is reproducer code and related data files: videos, images, onnx, etc
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<!--
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The best reproducer -- test case for OpenCV that we can add to the library.
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Recommendations for media files and binary files:
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* Try to reproduce the issue with images and videos in opencv_extra repository
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to reduce attachment size
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* Use PNG for images, if you report some CV related bug, but not image reader
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issue
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* Attach the image as archite to the ticket, if you report some reader issue.
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Image hosting services compress images and it breaks the repro code.
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* Provide ONNX file for some public model or ONNX file with with random weights,
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if you report ONNX parsing or handling issue. Architecture details diagram
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from netron tool can be very useful too. See https://lutzroeder.github.io/netron/
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-->
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