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https://github.com/udacity/CarND-Term1-Starter-Kit


https://github.com/udacity/CarND-Term1-Starter-Kit

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# CarND Term1 Starter Kit

[![Udacity - Self-Driving Car NanoDegree](https://s3.amazonaws.com/udacity-sdc/github/shield-carnd.svg)](http://www.udacity.com/drive)

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](https://www.udacity.com/course/self-driving-car-engineer-nanodegree--nd013).

Python 3 is used for the entirety of term 1.

There are two ways to get up and running:

## [Anaconda Environment](doc/configure_via_anaconda.md)

Get started [here](doc/configure_via_anaconda.md). More info [here](http://conda.pydata.org/docs/).

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](doc/configure_via_docker.md)

Get started [here](doc/configure_via_docker.md). More info [here](http://docker.com).

Supported Systems : AWS (CPU, [GPU](doc/docker_for_aws.md)), 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#).