mirror of
https://github.com/opencv/opencv.git
synced 2025-06-07 09:25:45 +08:00
added opencv for openvino tutorial
This commit is contained in:
parent
04ebedb6f0
commit
cbf43a54fb
@ -2,7 +2,7 @@
|
||||
|
||||
@tableofcontents
|
||||
|
||||
@prev_tutorial{tutorial_dnn_halide_scheduling}
|
||||
@prev_tutorial{tutorial_dnn_openvino}
|
||||
@next_tutorial{tutorial_dnn_yolo}
|
||||
|
||||
| | |
|
||||
|
@ -3,7 +3,7 @@
|
||||
@tableofcontents
|
||||
|
||||
@prev_tutorial{tutorial_dnn_halide}
|
||||
@next_tutorial{tutorial_dnn_android}
|
||||
@next_tutorial{tutorial_dnn_openvino}
|
||||
|
||||
| | |
|
||||
| -: | :- |
|
||||
|
28
doc/tutorials/dnn/dnn_openvino/dnn_openvino.markdown
Normal file
28
doc/tutorials/dnn/dnn_openvino/dnn_openvino.markdown
Normal file
@ -0,0 +1,28 @@
|
||||
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- OpenCV version may be out-of-date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).
|
@ -4,6 +4,7 @@ Deep Neural Networks (dnn module) {#tutorial_table_of_content_dnn}
|
||||
- @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
|
||||
|
@ -65,12 +65,12 @@ CV__DNN_INLINE_NS_BEGIN
|
||||
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,
|
||||
|
Loading…
Reference in New Issue
Block a user