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${ noResults }
3 Commits (a2d2ea6536df143ca118abc0fbe095e7dadbebd2)
| Author | SHA1 | Message | Date |
|---|---|---|---|
Abduragim Shtanchaev
|
5bdc41964a
|
Merge pull request #25487 from Abdurrahheem:ash/01D-additional-fixes
Additional fixes to 0/1D tests #25487 This has additional fixes requited for 0/1D tests. ### 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. - [x] The feature is well documented and sample code can be built with the project CMake |
10 months ago |
Abdul Rahman ArM
|
55426ee195
|
Merge pull request #25197 from invarrow:invbranch-cleanup
Remove OpenVX #25197 resolves https://github.com/opencv/opencv/issues/24995 OpenCV cleanup https://github.com/opencv/opencv/issues/25007 |
11 months ago |
Vadim Pisarevsky
|
1d18aba587
|
Extended several core functions to support new types (#24962)
* started adding support for new types (16f, 16bf, 32u, 64u, 64s) to arithmetic functions * fixed several tests; refactored and extended sum(), extended inRange(). * extended countNonZero(), mean(), meanStdDev(), minMaxIdx(), norm() and sum() to support new types (F16, BF16, U32, U64, S64) * put missing CV_DEPTH_MAX to some function dispatcher tables * extended findnonzero, hasnonzero with the new types support * extended mixChannels() to support new types * minor fix * fixed a few compile errors on Linux and a few failures in core tests * fixed a few more warnings and test failures * trying to fix the remaining warnings and test failures. The test `MulTestGPU.MathOpTest` was disabled - not clear whether to set tolerance - it's not bit-exact operation, as possibly assumed by the test, due to the use of scale and possibly limited accuracy of the intermediate floating-point calculations. * found that in the current snapshot G-API produces incorrect results in Mul, Div and AddWeighted (at least when using OpenCL on Windows x64 or MacOS x64). Disabled the respective tests. |
1 year ago |