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Media-Processing (#13086)

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This commit is contained in:
Maciej Smyk
2022-09-20 13:07:42 +02:00
committed by GitHub
parent 2d2af81a08
commit 6835565610
3 changed files with 4 additions and 6 deletions
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docs/documentation.md
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@@ -91,7 +91,7 @@
Intel® Deep Learning Streamer <openvino_docs_dlstreamer>
openvino_docs_gapi_gapi_intro
OpenCV* Developer Guide <https://docs.opencv.org/master/>
OpenCV Developer Guide <https://docs.opencv.org/master/>
OpenCL™ Developer Guide <https://software.intel.com/en-us/openclsdk-devguide>
OneVPL Developer Guide <https://www.intel.com/content/www/us/en/developer/articles/release-notes/oneapi-video-processing-library-release-notes.html>

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docs/gapi/face_beautification.md
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@@ -10,7 +10,7 @@ In this tutorial you will learn:
## Prerequisites
This sample requires:
* PC with GNU/Linux* or Microsoft Windows* (Apple macOS* is supported but was not tested)
* PC with GNU/Linux or Microsoft Windows (Apple macOS is supported but was not tested)
* OpenCV 4.2 or higher built with [Intel® Distribution of OpenVINO™ Toolkit](https://software.intel.com/content/www/us/en/develop/tools/openvino-toolkit.html) (building with [Intel® TBB](https://www.threadingbuildingblocks.org/intel-tbb-tutorial) is a plus)
* The following pre-trained models from the [Open Model Zoo](@ref omz_models_group_intel)
* [face-detection-adas-0001](@ref omz_models_model_face_detection_adas_0001)
@@ -23,8 +23,6 @@ We will implement a simple face beautification algorithm using a combination of
![Face Beautification Algorithm](../img/gapi_face_beautification_algorithm.png)
Briefly the algorithm is described as follows:
Briefly the algorithm is described as follows:
- Input image \f$I\f$ is passed to unsharp mask and bilateral filters
(\f$U\f$ and \f$L\f$ respectively);

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docs/gapi/gapi_face_analytics_pipeline.md
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@@ -9,8 +9,8 @@ In this tutorial you will learn:
## Prerequisites
This sample requires:
* PC with GNU/Linux* or Microsoft Windows* (Apple macOS* is supported but was not tested)
* OpenCV 4.2 or higher built with [Intel® Distribution of OpenVINO™ Toolkit](https://software.intel.com/content/www/us/en/develop/tools/openvino-toolkit.html) (building with [Intel® TBB](https://www.threadingbuildingblocks.org/intel-tbb-tutorial)
* PC with GNU/Linux or Microsoft Windows (Apple macOS is supported but was not tested)
* OpenCV 4.2 or higher built with [Intel® Distribution of OpenVINO™ Toolkit](https://software.intel.com/content/www/us/en/develop/tools/openvino-toolkit.html) (building with [Intel® TBB](https://www.threadingbuildingblocks.org/intel-tbb-tutorial) is a plus)
* The following pre-trained models from the [Open Model Zoo](@ref omz_models_group_intel):
* [face-detection-adas-0001](@ref omz_models_model_face_detection_adas_0001)
* [age-gender-recognition-retail-0013](@ref omz_models_model_age_gender_recognition_retail_0013)