Hazard Identification

• As a safety manager I want to increase worker engagement with preventative health and safety measures so that I can improve the health and safety outcomes for the workforce and organisation compliance.

• As a safety manager I want to improve the quality of information I receive about reported hazards so I can be more effective in preventing risks on site.

Usage

After pulling the repo, run the following:

docker build --no-cache -t lucidplantspace .

Running the following will kick off training of the model from the /data folder if you want to train a specific model, download and unzip to this directory.

docker run --rm \                                                                      
  -v $(pwd)/data:/app/data \
  -v $(pwd)/models:/app/models \
  lucidplantspace train --data=/app/data/data.yaml --model=yolov8n.pt --epochs=10 --imgsz=640

Alternatively to just run the server:

docker run -p 8000:8000 lucidplantspace serve

Once running, requests can be made via the command line:

curl -X 'POST' \                                                  
  'http://localhost:8000/detect/' \
  -H 'accept: application/json' \
  -H 'Content-Type: multipart/form-data' \
  -F 'file=@<path_to_image.jpg> '

To test on a device

Create a Personal Hotspot connection to your device, then run the following command

npm run dev -- --host

The following will be displayed which will show addresses that are exposed to the local network:

 VITE v6.1.1  ready in 61 ms

  ➜  Local:   http://localhost:5173/
  ➜  Network: http://172.20.10.3:5173/
  ➜  Network: http://192.168.64.1:5173/
  ➜  press h + enter to show help