Name		Name	Last commit message	Last commit date
parent directory ..
.ipynb_checkpoints		.ipynb_checkpoints
README.md		README.md
Vehicle Detection.ipynb		Vehicle Detection.ipynb
classifier.joblib.pkl		classifier.joblib.pkl
detect-vehicles.py		detect-vehicles.py
project-report.pdf		project-report.pdf
project_video.mp4		project_video.mp4
proposal.pdf		proposal.pdf
scaler.joblib.pkl		scaler.joblib.pkl
vehicle-detection.html		vehicle-detection.html
video-tracking-output.mp4		video-tracking-output.mp4

README.md

Vehicle Detection using Machine Learning

To install and run this software:

Install the Udacity Self driving Anaconda Environment from here and follow the instructions.
Download the training data for cars and non-cars(https://s3.amazonaws.com/udacity-sdc/Vehicle_Tracking/non-vehicles.zip).
Download the live video from here
To run the training, set the flag train_model to True.
After training, the output video will be in the project root folder.

View the Project Proposal review