| OpenCV 5.0.0alpha Open Source Computer Vision

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OpenCV usage with OpenVINO

Prev Tutorial: Load ONNX framework models
Next Tutorial: YOLO DNNs

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  - OpenCV version may be out-of-date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.