Developing with Qt Edge AI

An application describes its inference pipeline as a flow of steps that exchange data through ports. A backend plugin runs the flow, and each step reads from a configuration file how the backend runs it. The following topics cover these parts:

• Defining an inference flow describes how to declare, connect, and start a flow in QML or C++.
• Qt Edge AI steps and ports lists the step types and the ports they exchange data through.
• Qt Edge AI backends describes how backend plugins run a flow and how they are selected.
• Adding a custom step describes how an application adds a step of its own to a flow.
• Qt Edge AI Configuration Files describes the files that configure how a backend runs a step.