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mirror of https://github.com/opencv/opencv_contrib.git synced 2025-10-19 19:44:14 +08:00
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opencv_contrib/modules/gapi/tutorials/gapi.markdown
Alexander Smorkalov 2d69dd1215 Merge pull request #3827 from asmorkalov:as/gapi_migration
Migrate G-API module from main repo to opencv_contrib #3827

Related to https://github.com/opencv/opencv/pull/26469
Required https://github.com/opencv/opencv/pull/26527
CI: https://github.com/opencv/ci-gha-workflow/pull/201

TODO:
- [x]  Python types generator fix
- [x] CI update

### 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
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-11-27 16:02:16 +03:00

1.4 KiB

Graph API (gapi module)

In this section you will learn about graph-based image processing and how G-API module can be used for that.

  • @subpage tutorial_gapi_interactive_face_detection

    Languages: C++

    Compatibility: > OpenCV 4.2

    Author: Dmitry Matveev

    This tutorial illustrates how to build a hybrid video processing pipeline with G-API where Deep Learning and image processing are combined effectively to maximize the overall throughput. This sample requires Intel® distribution of OpenVINO™ Toolkit version 2019R2 or later.

  • @subpage tutorial_gapi_anisotropic_segmentation

    Languages: C++

    Compatibility: > OpenCV 4.0

    Author: Dmitry Matveev

    This is an end-to-end tutorial where an existing sample algorithm is ported on G-API, covering the basic intuition behind this transition process, and examining benefits which a graph model brings there.

  • @subpage tutorial_gapi_face_beautification

    Languages: C++

    Compatibility: > OpenCV 4.2

    Author: Orest Chura

    In this tutorial we build a complex hybrid Computer Vision/Deep Learning video processing pipeline with G-API.

  • @subpage tutorial_gapi_oak_devices

    Languages: C++

    Compatibility: > OpenCV 4.6

    Author: Alessandro de Oliveira Faria (A.K.A. CABELO)

    In this tutorial we showed how to use the Luxonis DepthAI library with G-API.