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# Graph API (gapi module) {#tutorial_table_of_content_gapi}
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.
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