Lint License: MIT

A small collection of simple computer-vision demos demonstrating motion detection, bounding boxes, and basic video processing using OpenCV, Pandas, Bokeh and NumPy.

• Motion detection with bounding boxes (vision_bounding.py)
• Simple motion time-logging demo (illusion.py)
• Basic video capture/merge example (vision_video.py)

• illusion.py — motion detection and CSV logging of movement times
• vision_bounding.py — bounding-box visualization and basic Bokeh graph
• vision_video.py — simple video capture/merge example

Install runtime dependencies with:

pip install -r requirements.txt

These scripts expect a working webcam available at device index 0.

Run the test suite with:

pip install -r requirements-dev.txt
pytest -q

A GitHub Actions workflow template is included at .github/workflows/publish.yml to publish a built wheel to PyPI when a tag v* is pushed. To enable publishing, set the PYPI_API_TOKEN secret in the repository settings.

Replace OWNER/REPO in the badge URLs above with your GitHub repository path to enable live status badges.

Run any demo from the repository root. Example:

python illusion.py
python vision_bounding.py
python vision_video.py

Press q (or as noted in the script) to stop camera capture windows.

Contributions are welcome — see CONTRIBUTING.md for details.

This project is licensed under the MIT License — see LICENSE.