vision-ai-service

Analyserer en videostrøm for passeringer (people crossing line). Tar skjermbilde av passeringen.

Start service: python3 -m vision_ai_service.app But first, start dependencies (services & db): docker-compose up event-service user-service photo-service mongodb

Development Requirements

• pyenv
• pipx
• poetry
• nox
• nox-poetry
• pillow

If required - virtual environment

Install: curl https://pyenv.run | bash Create: python -m venv .vivenv (replace .venv with your preferred name) Activate:source .vivenv/bin/activate

Install

% git clone https://github.com/heming-langrenn/vision-ai-service.git % cd vision-ai-service % pyenv local 3.11 % poetry install

Prepare .env filer (dummy parameter values supplied)

LOGGING_LEVEL=INFO JWT_SECRET=secret JWT_EXP_DELTA_SECONDS=3600 ADMIN_USERNAME=admin ADMIN_PASSWORD=password DB_USER=admin DB_PASSWORD=password EVENTS_HOST_SERVER=localhost EVENTS_HOST_PORT=8082 PHOTOS_HOST_SERVER=localhost PHOTOS_HOST_PORT=8092 USERS_HOST_SERVER=localhost USERS_HOST_PORT=8086

Run all sessions

% nox

Run all tests with coverage reporting

% nox -rs tests

Push to docker registry manually (CLI)

docker-compose build docker login ghcr.io -u github password: Use a generated access token from GitHub (https://github.com/settings/tokens/1878556677) docker tag ghcr.io/langrenn-sprint/vision-ai-service:test ghcr.io/langrenn-sprint/vision-ai-service:latest docker push ghcr.io/langrenn-sprint/vision-ai-service:latest