node-red-contrib-ml's Introduction

No-Code Edge AI Vision with Node-RED

Now you can get started with AI vision at the edge in just THREE STEPS with no coding experience at all!

Prerequisites

NVIDIA Jetson device

Getting Started

Note: For this guide, we have used a reComputer J1010 with Jetson Nano running NVIDIA JetPack 4.6.1

Step 1 - Install

Clone this GitHub repo and run the installer

git clone https://github.com/Seeed-Studio/node-red-contrib-ml
cd node-red-contrib-ml && sudo ./docker-ubuntu.sh

Step 2 - Configure

Open a web browser, type jetson_device_ip_address:1880 on the search box, drag and drop blocks and connect them as follows

Step 3 - Deploy

Press DEPLOY to see it in action!

Application 1

elephant-detection.mp4

Application 2

retail-store-items-detection.mp4

Learn more

For a more detailed step-by-step guide on using Node-RED for Edge AI Vision, please pay attention to this software.

node-red-contrib-ml's People

Contributors

Stargazers

Watchers

node-red-contrib-ml's Issues

"RequestError: connect ECONNREFUSED 127.0.0.1:5550"

Hi, the baozhu/node-red-dataloader:v1.0 container cannot be downloaded..

from docker-compose.yaml i can see a third container have to be loaded.......
dataloader:
image: baozhu/node-red-dataloader:v1.0
restart: always
runtime: nvidia
network_mode: "host"
devices:
- "/dev/video0:/dev/video0"
ports:
- "5550:5550"

and restarting the installation, knowing this, i figured out that the node-red-contrib-ml-dataloader is not starting...

[+] Running 2/3
⠿ Container node-red-contrib-ml-node-red-1 Started 0.7s
⠿ Container node-red-contrib-ml-detection-1 Started 3.7s
⠧ Container node-red-contrib-ml-dataloader-1 Starting 3.7s
Error response from daemon: error gathering device information while adding custom device "/dev/video0": no such file or directory

Could you help me?

Thanks

seeed-studio / node-red-contrib-ml Goto Github PK