braillevision / docs /CONTRIBUTING.md
Krishna Venkatesh
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Contributing

Local Setup

Use Python 3.11 when possible.

python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements-dev.txt
pip install -e .
pre-commit install

Confirm OpenCV is installed:

.venv/bin/python -c "import cv2; print(cv2.__version__)"

Required Checks

Run these before committing:

.venv/bin/pytest tests/ -v --cov=src/braillevision --cov-report=term-missing
.venv/bin/black --check .
.venv/bin/isort --check-only .
.venv/bin/flake8 . --max-line-length=100

Auto-format with:

.venv/bin/black .
.venv/bin/isort .

Development Notes

  • Keep CV logic inside src/braillevision/.
  • Keep Flask, upload handling, and browser behavior inside app/.
  • Do not commit large raw datasets. data/raw/, data/processed/, and data/annotations/ are ignored except for .gitkeep files.
  • Add focused tests for every detector, segmentation, or recognition change.
  • Synthetic images are good for regression tests, but real-image benchmark cases should include annotation JSON.
  • If you tune PipelineConfig, record the image conditions that motivated the change.

Docker Check

Start Docker Desktop first:

docker compose up --build
curl http://localhost:7860/health
docker compose down

Expected health response:

{"status": "ok", "version": "1.0"}