DMAS - Data Management and Analysis System

This system is responsible for the following:

• Ingesting raw image data into the database
• Analysing raw image data to extract plant data
• Matching similar plants and assigning a plant_id to them
• Tracking the growth of plants over time

Setup

Configuration files

mv config.ini.example config.ini

Fill in config.ini with the username and password to your postgresql database. Paste your plantnet API key into the api_key section, this can be created at https://my.plantnet.org/.

Python venv

python3 -m venv venv
. venv/bin/activate (linux) or ./venv/Scripts/activate (win)
python3 -m pip install -e
pip install -r requirements.txt

Train the human detection model

python3 models/human_detection/human_detector.py

Running without docker

uvicorn app.main:app --reload

Running with docker

docker build -t dmas_image .
docker run -d --name dmas -p 8080:8080 dmas_image

Endpoints:

You can view the endpoints and accompanying API doc by running the service, then going to http://hostname:port/docs.