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README.md

CarND Term1 Starter Kit

Udacity - Self-Driving Car NanoDegree

The purpose of this project is to provide unified software dependency support for students enrolled in Term 1 of the Udacity Self-Driving Car Engineer Nanodegree.

Python 3 is used for the entirety of term 1.

There are two ways to get up and running:

Anaconda Environment

Get started here. More info here.

Supported Sytems: Linux (CPU), Mac (CPU), Windows (CPU)

Pros Cons
More straight-forward to use AWS or GPU support is not built in (have to do this yourself)
More community support Implementation is local and OS specific
More heavily adopted

Docker

Get started here. More info here.

Supported Systems : AWS (CPU, GPU), Linux (CPU), Mac (CPU), Windows (CPU)

Pros Cons
Configure once for all environments More challenging to use
AWS, GPU support Less community support
Practice with Docker Have to manage images and containers

#Trouble Shooting

If you get an Import Error on cv2 and have ROS installed. See (here)[https://stackoverflow.com/questions/43019951/after-install-ros-kinetic-cannot-import-opencv#]