The Edge AI SDK⁽⁴⁾ leverages and enables an interplay of multiple open-source components such as GStreamer, OpenVX, OpenCV, and deep learning runtime such as TFLite, ONNX, and TVM. The reference applications showcase perception-based examples such as image classification, object detection, and semantic segmentation in both Python and C++ variants. The Edge AI SDK is mainly comprised of three parts as shown in Figure 4-1. The edge AI application stack is used to run analytics applications with real-time inputs and outputs. The Foundational Linux components provide u-boot, kernel, file system, Linux drivers and more. The firmware package is used for the remote core and hardware accelerator drivers.

Figure 4-1 Processor SDK Linux for AM68A