ScubaVision

This is video streaming development code for the Oregon Statue University Robotics Club (OSURC) entry ROV for the 2018 MATE ROV competetition. It is not yet in a distributable state, and will likely not be until after the competition.

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

What things you need to install the software and how to install them

Host:
	OpenCV 3.3.1 (and its deps)
		You can use the install script from master for help setting up OpenCV the way we did

Jetson:
	Jetson TK1
		-> Camera (tested on PS Eye)
		-> Jetpack 21.5 (R21, Rev5.0)
		-> Grinch Kernel

Installing

A step by step series of examples that tell you have to get a development env running

Say what the step will be

Give the example

And repeat

until finished

End with an example of getting some data out of the system or using it for a little demo

Running the tests

Explain how to run the automated tests for this system

Break down into end to end tests

Explain what these tests test and why

Give an example

And coding style tests

Explain what these tests test and why

Give an example

Deployment

Add additional notes about how to deploy this on a live system

Built With

• OpenCV

Contributing

Please read CONTRIBUTING.md

Versioning

Authors

• Steven Wells - Evil Lackey
• Jeramie Chew - Computer Scientist

See also the list of contributors who participated in this project.

License

This project is licensed under the MIT License - see the LICENSE.md file for details

Acknowledgments

• Walter Lucetti (https://github.com/Myzhar/simple-opencv-kalman-tracker)