Light analyzer

Uses functions from the OpenCV library to detect anomalies in light sources.

The below GIF highlights a simple example:

The below GIF illustrates a more difficult example, making use of a different threshold algorithm and swapping between image channels.

Installation steps:

1. Check that you have the correct python version installed, which can be found inside .python-version.
   • if you're unsure how to manage multiple python installations, pyenv is a good solution.
   • If you're running this on a PC, it's good practice to create a virtualenv.
2. Run the following command inside a terminal:

pip install -r requirements.txt

Running the Application

Via the command line:

python -m light_detection

Tests

This project uses pytest for testing. in order to execute the tests, simply run pytest in the root directory of the project.

TODO:

• Rewrite to use .kv files where applicable :)
• Allow a Video option instead of just static images
• (Possibly) Use Poetry or PDM for managing the project
• Add CI flow