#car-detector Uses histogram of oriented gradients as a descriptor and a linear support vector machine as a classifier.
Uses non-maximum suppression to eliminate overlapping bounding boxes.
#####Usage
python car_detector/detect.py -i data/sample/test-101.jpg
#####Files
config.py
contains general configuration valuesdetect.py
runs classifier and draws bounding boxes on sample imageextract-features.py
converts images into HOG descriptors and writes to disk to be loaded during traininghelpers.py
contains various helper functionstest.py
tests classifier on training or test set printing precision and recalltrain.py
trains classifier on files output by extract-features
#####Limitations
- Only detects cars from profile view
- Has trouble with larger images
#####Resources