Image Processing in Python
Editor’s note: This post is part of the Silicon Valley Data Science Trainspotting series, a deep dive into the visual and audio detection components of the SVDS Caltrain project. Let them know your favorite part of the series and make comments on the original article here.
The first step in developing our Caltrain project was creating a proof of concept for the image processing component of the device we used to detect passing trains. We’re big fans of Jupyter Notebooks at SVDS, and so we’ve created a notebook to walk you through that proof of concept.
You can also download the .ipynb version and do some motion detection of your own. Later blog posts in this series will cover making this algorithm robust enough for real-time deployment on a Raspberry Pi.