- Classifying Bike Lane Images using Python's Image Processing and Computer Vision Libraries
The Python programming language has a number of libraries that can implement powerful computer vision and image processing techniques —
openCV \cite{open_cv_team_opencv_2017} and
SciPy \cite{scipy_developers_scipy.org_2017} are the more widely known ones that we use here.
We attempt to measure bike lane quality by combining four approaches and borrowing from NACTO’s “Urban Street Design Guide” \cite{national_association_of_city_transportation_officials_urban_2017} :