Get started with AI vision at the edge with no coding experience at all!

Related tags

Learning resource node-red-contrib-ml
Overview

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.

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Comments

  • "RequestError: connect ECONNREFUSED 127.0.0.1:5550"

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

    econn

    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

    opened by darkez 12
Releases(v1.2)

  • v1.2(Jun 14, 2022)

    Release Highlights:

    • Supports USB and RTSP camera switching
    • Supports selecting the inference result with or without bounding boxes
    • Fixed the problem of accumulated delay of RTSP camera
    Source code(tar.gz)
    Source code(zip)
Owner
Seeed Studio
Seeed Studio
GitHub
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