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29 lines
1.5 KiB
Markdown
29 lines
1.5 KiB
Markdown
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OpenCV usage with OpenVINO {#tutorial_dnn_openvino}
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=====================
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@prev_tutorial{tutorial_dnn_halide_scheduling}
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@next_tutorial{tutorial_dnn_android}
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| -: | :- |
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| Original author | Aleksandr Voron |
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| Compatibility | OpenCV == 4.x |
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This tutorial provides OpenCV installation guidelines how to use OpenCV with OpenVINO.
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Since 2021.1.1 release OpenVINO does not provide pre-built OpenCV.
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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.
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However, if you are using Open Model Zoo demos or OpenVINO runtime as OpenCV DNN backend you need to get the OpenCV build.
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There are 2 approaches how to get OpenCV:
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- Install pre-built OpenCV from another sources: system repositories, pip, conda, homebrew. Generic pre-built OpenCV package may have several limitations:
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- OpenCV version may be out-of-date
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- OpenCV may not contain G-API module with enabled OpenVINO support (e.g. some OMZ demos use G-API functionality)
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- OpenCV may not be optimized for modern hardware (default builds need to cover wide range of hardware)
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- OpenCV may not support Intel TBB, Intel Media SDK
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- OpenCV DNN module may not use OpenVINO as an inference backend
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- Build OpenCV from source code against specific version of OpenVINO. This approach solves the limitations mentioned above.
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The instruction how to follow both approaches is provided in [OpenCV wiki](https://github.com/opencv/opencv/wiki/BuildOpenCV4OpenVINO).
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