--- /dev/null
+OpenCV usage with OpenVINO {#tutorial_dnn_openvino}
+=====================
+
+@prev_tutorial{tutorial_dnn_halide_scheduling}
+@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+ - OpenCV version may be out-of-date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](https://github.com/opencv/opencv/wiki/BuildOpenCV4OpenVINO).
- @subpage tutorial_dnn_googlenet
- @subpage tutorial_dnn_halide
- @subpage tutorial_dnn_halide_scheduling
+- @subpage tutorial_dnn_openvino
- @subpage tutorial_dnn_android
- @subpage tutorial_dnn_yolo
- @subpage tutorial_dnn_javascript
enum Backend
{
//! DNN_BACKEND_DEFAULT equals to DNN_BACKEND_INFERENCE_ENGINE if
- //! OpenCV is built with Intel's Inference Engine library or
+ //! OpenCV is built with Intel OpenVINO or
//! DNN_BACKEND_OPENCV otherwise.
DNN_BACKEND_DEFAULT = 0,
DNN_BACKEND_HALIDE,
- DNN_BACKEND_INFERENCE_ENGINE, //!< Intel's Inference Engine computational backend
- //!< @sa setInferenceEngineBackendType
+ DNN_BACKEND_INFERENCE_ENGINE, //!< Intel OpenVINO computational backend
+ //!< @note Tutorial how to build OpenCV with OpenVINO: @ref tutorial_dnn_openvino
DNN_BACKEND_OPENCV,
DNN_BACKEND_VKCOM,
DNN_BACKEND_CUDA,