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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.