opencv/doc/tutorials/dnn/dnn_openvino/dnn_openvino.markdown

OpenCV usage with OpenVINO {#tutorial_dnn_openvino}
=====================

@prev_tutorial{tutorial_dnn_googlenet}
@next_tutorial{tutorial_dnn_yolo}

|    |    |
| -: | :- |
| 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    - OpenCV version may be out-of-date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](https://github.com/opencv/opencv/wiki/BuildOpenCV4OpenVINO).
added opencv for openvino tutorial 2022-09-28 18:05:28 +08:00			`OpenCV usage with OpenVINO {#tutorial_dnn_openvino}`
			`=====================`

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 21:53:18 +08:00			`@prev_tutorial{tutorial_dnn_googlenet}`
Updated Android tutorial for MobileNet-SSD detector - Refreshed images, links, OpenCV API. - Added more details to Android Mobilenet sample. - Moved to new location and re-linked tutorials. 2023-12-12 06:57:31 +08:00			`@next_tutorial{tutorial_dnn_yolo}`
added opencv for openvino tutorial 2022-09-28 18:05:28 +08:00
			`\| \| \|`
			`\| -: \| :- \|`
			`\| 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](https://github.com/opencv/opencv/wiki/BuildOpenCV4OpenVINO).`