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.

• 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.