This guide shows you how to use Arm NN and PyArmNN to build and run a real-time object detection system.
The system runs on a Raspberry Pi 4 with Raspbian 10 operating system.
This guide examines the following sample applications that ship as part of Arm NN and PyArmNN:
These sample applications take a model and video file or camera feed as input. The applications then run inference on each frame. Finally, the applications draw bounding boxes around detected objects, with the corresponding labels and confidence scores overlaid.
By understanding how these sample applications perform object detection, you can learn to write your own Machine Leaning applications using Arm NN and PyArmNN.