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This document describes how to compile and run the object detection demo with RTSP streaming on the Khadas Edge2
using its NPU
(Neural Processing Unit).
Before building the project, ensure your system is up to date and the required dependencies are installed:
sudo apt update sudo apt install cmake libopencv-dev
Clone the official Khadas Edge2 NPU repository:
git clone https://github.com/khadas/edge2-npu cd edge2-npu
Compile the project using the provided build script:
bash build.sh
Before running the demo, ensure an RTSP server is running in your local network. You can use [https://github.com/bluenviron/mediamtx MediaMTX] or other RTSP servers.
wget https://github.com/bluenviron/mediamtx/releases/download/v1.11.3/mediamtx_v1.11.3_linux_amd64.tar.gz tar -xzf mediamtx_v1.11.3_linux_amd64.tar.gz cd mediamtx ./mediamtx
By default, MediaMTX listens on port 8554. Once started, it's ready to receive RTSP streams.
ffmpeg -re -stream_loop -1 -i input.mp4 -c:v copy -an -f rtsp rtsp://<RTSP_SERVER_IP>:8554/live/stream
Replace <RTSP_SERVER_IP>
with the IP address of the machine running MediaMTX.
Navigate to the output directory and run the demo:
cd install/object_detection+RTSP ./object_detection+RTSP data/model/yolov8n.rknn 33 rtsp://<RTSP_SERVER_IP>:8554/live/stream
data/model/yolov8n.rknn # Path to RKNN model file 33 # Camera device index (e.g., /dev/video33) rtsp://<RTSP_SERVER_IP>:8554/... # RTSP server address
You may use one of the following RTSP servers:
You can verify the RTSP stream using a player such as ffplay
or VLC
.
Open VLC and go to:
Play
Replace <RTSP_SERVER_IP>
with the IP address of the RTSP server (e.g., 192.168.31.19
).
/dev/video33
) is connected and accessible.ip a
or hostname -I