Project aims to develop a system which, using different ways of sensing will receive information about an environment and will be able to use it to control cars and other elements of this city.
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.
What things you need to install the software and how to install them
Give examples
A step by step series of examples that tell you how to get a development env running
Say what the step will be
- sudo install pip pyserial
Give the example
Back/clone robot's image. And write to new SD card.
##### Back up image
- Find out disk name:
1) sudo diskutil list
- Unmount disk
2) diskutil unmountDisk /dev/disk2
- Make a copy
3) sudo dd if=/dev/disk2 of=robot_mate_backup_03_07.img (replace disk name and in give your own name for an image)
##### Restore Raspberry Pi SD Card
- Unmount disk
1) diskutil unmountDisk /dev/disk2
- Write image to SD card
2) sudo dd if=robot_mate_backup_03_07.img of=/dev/disk2
End with an example of getting some data out of the system or using it for a little demo
Explain how to run the automated tests for this system
Explain what these tests test and why
Give an example
Explain what these tests test and why
Give an example
Add additional notes about how to deploy this on a live system
- OpenCV - The image analysis framework
Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.
We use SemVer for versioning. For the versions available, see the tags on this repository.
- Michael Heeney - What - Project Leader
See also the list of contributors who participated in this project.
This project is licensed under the MIT License - see the LICENSE file for details
- Hat tip to anyone whose code was used
- Inspiration