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d789cb459c
opencv/doc/tutorials/dnn/dnn_openvino/dnn_openvino.markdown
Yuantao Feng d789cb459c
Merge pull request #24231 from fengyuentau:halide_cleanup_5.x 
dnn: cleanup of halide backend for 5.x #24231

Merge with https://github.com/opencv/opencv_extra/pull/1092.

### 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
2023-10-13 16:53:18 +03:00

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OpenCV usage with OpenVINO

@prev_tutorial{tutorial_dnn_googlenet} @next_tutorial{tutorial_dnn_android}
Original author Aleksandr Voron
Compatibility OpenCV == 4.x

This tutorial provides OpenCV installation guidelines how to use OpenCV with OpenVINO.

Since 2021.1.1 release OpenVINO does not provide pre-built OpenCV. The change does not affect you if you are using OpenVINO runtime directly or OpenVINO samples: it does not have a strong dependency to OpenCV. However, if you are using Open Model Zoo demos or OpenVINO runtime as OpenCV DNN backend you need to get the OpenCV build.

There are 2 approaches how to get OpenCV:

  • Install pre-built OpenCV from another sources: system repositories, pip, conda, homebrew. Generic pre-built OpenCV package may have several limitations:
    • OpenCV version may be out-of-date
    • OpenCV may not contain G-API module with enabled OpenVINO support (e.g. some OMZ demos use G-API functionality)
    • OpenCV may not be optimized for modern hardware (default builds need to cover wide range of hardware)
    • OpenCV may not support Intel TBB, Intel Media SDK
    • OpenCV DNN module may not use OpenVINO as an inference backend
  • Build OpenCV from source code against specific version of OpenVINO. This approach solves the limitations mentioned above.

The instruction how to follow both approaches is provided in OpenCV wiki.