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

Face analytics pipeline with G-API

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.
Porting anisotropic image segmentation on G-API

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.
Implementing a face beautification algorithm with G-API

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.
Using DepthAI Hardware / OAK depth sensors

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.