Vehicle Detection

This repository contains my implementation of the homonymous open source project part of the Udacity - Self-Driving Car NanoDegree.

For a step by step walkthrough of the project see here

Dependencies

To execute the pipeline, the following dependencies are necessary:

Numpy
Matplotlib
OpenCv
Scikit-learn
Scikit-Image
SciPy
Glob
Time
Itertools

Clone the Github Repository and run each cell contained in the Jupiter Notebook vehicle_detection.ipynb

git clone https://github.com/IacopomC/CarND-Vehicle-Detection
cd CarND-Vehicle-Detection
jupyter notebook vehicle_detection.ipynb

Here are the links to the labeled data for vehicle and non-vehicle examples to train the classifier. These example images come from a combination of the GTI vehicle image database, the KITTI vision benchmark suite, and examples extracted from the project video itself.

To augment the training data you can take advantage of the recently released Udacity labeled dataset.