2018-11-15 23:12:36 +08:00
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# Graph API (gapi module) {#tutorial_table_of_content_gapi}
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In this section you will learn about graph-based image processing and
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how G-API module can be used for that.
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2019-12-10 05:30:10 +08:00
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- @subpage tutorial_gapi_interactive_face_detection
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*Languages:* C++
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*Compatibility:* \> OpenCV 4.2
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*Author:* Dmitry Matveev
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This tutorial illustrates how to build a hybrid video processing
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pipeline with G-API where Deep Learning and image processing are
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combined effectively to maximize the overall throughput. This
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sample requires Intel® distribution of OpenVINO™ Toolkit version
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2019R2 or later.
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2018-11-15 23:12:36 +08:00
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- @subpage tutorial_gapi_anisotropic_segmentation
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*Languages:* C++
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*Compatibility:* \> OpenCV 4.0
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*Author:* Dmitry Matveev
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This is an end-to-end tutorial where an existing sample algorithm
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is ported on G-API, covering the basic intuition behind this
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transition process, and examining benefits which a graph model
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brings there.
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2019-12-17 16:00:49 +08:00
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- @subpage tutorial_gapi_face_beautification
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*Languages:* C++
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*Compatibility:* \> OpenCV 4.2
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*Author:* Orest Chura
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In this tutorial we build a complex hybrid Computer Vision/Deep
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Learning video processing pipeline with G-API.
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2022-09-12 11:53:20 +08:00
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- @subpage tutorial_gapi_oak_devices
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*Languages:* C++
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*Compatibility:* \> OpenCV 4.6
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*Author:* Alessandro de Oliveira Faria (A.K.A. CABELO)
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In this tutorial we showed how to use the Luxonis DepthAI library with G-API.
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