This project aims to find lane lines in video taken from a roughly hood-mounted camera. Briefly, the pipeline uses Canny edge detection, Hough transform, and k-means clustering. Sliding-window averaging is used to smooth estimates when the pipeline is applied in a video context.
README.md
: This fileP1.ipynb
: A report demonstrating the output on sample images and video, with inline explanations of the development.P1.pdf
: A conversion ofP1.ipynb
withnbconvert
.laneLines.py
: All non-report code for the pipeline.req.txt
: PIP requirements file.
Also included are the orignal sample images and videos, as well as their conversions.
test_images
: A collection of sample input images.test_images_output
: Corresponding outputs.test_videos
: A collection of sample input videos.test_videos_output
: Corresponding outputs.