G-API: Introduce some classic CV ops via OV backend#24379
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dmatveev wants to merge 1 commit intoopencv:4.xfrom
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G-API: Introduce some classic CV ops via OV backend#24379dmatveev wants to merge 1 commit intoopencv:4.xfrom
dmatveev wants to merge 1 commit intoopencv:4.xfrom
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asmorkalov
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Mar 6, 2024
G-API: A quick value-initialization support GMat #25055 This PR enables `GMat` objects to be value-initialized in the same way as it was done for `GScalar`s (and, possibly, other types). - Added some helper methods in backends to distinguish if a certain G-type value initialization is supported or not; - Added tests, including negative. Where it is needed: - Further extension of the OVCV backend (#24379 - will be refreshed soon); - Further experiments with DNN module; - Further experiments with "G-API behind UMat" sort of aggregation. In the current form, PR can be reviewed & merged (@TolyaTalamanov please have a look) ### 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 - [ ] 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
klatism
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May 17, 2024
G-API: A quick value-initialization support GMat opencv#25055 This PR enables `GMat` objects to be value-initialized in the same way as it was done for `GScalar`s (and, possibly, other types). - Added some helper methods in backends to distinguish if a certain G-type value initialization is supported or not; - Added tests, including negative. Where it is needed: - Further extension of the OVCV backend (opencv#24379 - will be refreshed soon); - Further experiments with DNN module; - Further experiments with "G-API behind UMat" sort of aggregation. In the current form, PR can be reviewed & merged (@TolyaTalamanov please have a look) ### 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 - [ ] 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
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@dmatveev @TolyaTalamanov Is the PR still relevant? |
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Pull Request Readiness Checklist
See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request
Patch to opencv_extra has the same branch name.