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Open Source Computer Vision Library
f0c411d8b5
* G-API: Introduce a new gapi::infer2 overload + gaze estimation sample * G-API/infer2: Introduced static type checking for infer2 - Also added extra tests on the type check routine * G-API/infer2: Addressed self-review comments in the sample app - Also fix build on Linux; * G-API/infer2: Remove incorrect SetLayout(HWC) + dead code - Also fixed comments in the backend * G-API/infer2: Continue with self-review - Fix warnings/compile errors in gaze estimation - Dropped the use of RTTI (VectorRef::holds()) from the giebackend - Replaced it with a trait-based enums for GArray<T> and std::vector<T> - The enums and traits are temporary and need to be unified with the S11N when it comes * G-API/infer2: Final self-review items - Refactored ROIList test to cover 70% for infer<> and infer2<>; - Fixed the model data discovery routine to be compatible with new OpenVINO; - Hopefully fixed the final issues (warnings) with the sample. * G-API/infer2: address review problems - Fixed typo in comments; - Fixed public (Doxygen) comment on GArray<GMat> input case for infer2; - Made model lookup more flexible to allow new & old OMZ dir layouts. * G-API/infer2: Change the model paths again * G-API/infer2: Change the lookup path for test data * G-API/infer2: use randu instead of imread. CI war is over |
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OpenCV: Open Source Computer Vision Library
Resources
- Homepage: https://opencv.org
- Courses: https://opencv.org/courses
- Docs: https://docs.opencv.org/master/
- Q&A forum: http://answers.opencv.org
- Issue tracking: https://github.com/opencv/opencv/issues
Contributing
Please read the contribution guidelines before starting work on a pull request.
Summary of the guidelines:
- One pull request per issue;
- Choose the right base branch;
- Include tests and documentation;
- Clean up "oops" commits before submitting;
- Follow the coding style guide.