This project is a classifier and edge detection for cars. It uses a Linear SVM classifier for detecting cars, then uses HOG features to obtain its edges. If there is no car detected, no edges are displayed and a warning is flashed.
A pickled model is attached for a quick run.
To run the script:
python car_edge_detector.py
To download training dataset: Positive samples(8k+): https://s3.amazonaws.com/udacity-sdc/Vehicle_Tracking/vehicles.zip Negative samples(8k+): https://s3.amazonaws.com/udacity-sdc/Vehicle_Tracking/non-vehicles.zip
(Source: Udacity)