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Merge pull request #25981 from Kumataro:fix25971
imgproc: add specific error code when cvtColor is used on an image with an invalid number of channels #25981 close #25971 ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] 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 - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] 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
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@@ -202,8 +202,8 @@ struct CvtHelper
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int stype = _src.type();
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scn = CV_MAT_CN(stype), depth = CV_MAT_DEPTH(stype);
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CV_Check(scn, VScn::contains(scn), "Invalid number of channels in input image");
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CV_Check(dcn, VDcn::contains(dcn), "Invalid number of channels in output image");
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CV_CheckChannels(scn, VScn::contains(scn), "Invalid number of channels in input image");
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CV_CheckChannels(dcn, VDcn::contains(dcn), "Invalid number of channels in output image");
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CV_CheckDepth(depth, VDepth::contains(depth), "Unsupported depth of input image");
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if (_src.getObj() == _dst.getObj()) // inplace processing (#6653)
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@@ -247,8 +247,8 @@ struct OclHelper
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int scn = src.channels();
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int depth = src.depth();
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CV_Check(scn, VScn::contains(scn), "Invalid number of channels in input image");
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CV_Check(dcn, VDcn::contains(dcn), "Invalid number of channels in output image");
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CV_CheckChannels(scn, VScn::contains(scn), "Invalid number of channels in input image");
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CV_CheckChannels(dcn, VDcn::contains(dcn), "Invalid number of channels in output image");
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CV_CheckDepth(depth, VDepth::contains(depth), "Unsupported depth of input image");
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switch (sizePolicy)
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@@ -89,8 +89,8 @@ struct CvtHelper
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int stype = _src.type();
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scn = CV_MAT_CN(stype), depth = CV_MAT_DEPTH(stype);
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CV_Check(scn, VScn::contains(scn), "Invalid number of channels in input image");
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CV_Check(dcn, VDcn::contains(dcn), "Invalid number of channels in output image");
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CV_CheckChannels(scn, VScn::contains(scn), "Invalid number of channels in input image");
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CV_CheckChannels(dcn, VDcn::contains(dcn), "Invalid number of channels in output image");
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CV_CheckDepth(depth, VDepth::contains(depth), "Unsupported depth of input image");
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if (_src.getObj() == _dst.getObj()) // inplace processing (#6653)
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