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Assignment Goals

• Enable you to successfully apply some very powerful computer vision algorithms to solve an application
• Show you examples of good development and debugging processes for computer vision
• Help you to determine ideas for the open-ended CV project.

Logistics

All of the materials (assignment description and starter code) are on Github. To get started, fork the starter code repo. To turn in your code, issue a pull request from your fork to Ryan's (youralien's) upstream repo.

This is an individual assignment. You can work with / brainstorm with / help each other, but the code you turn in must be your own.

Assessment

There is no writeup for this assignment. Your grade will be based on a combination of functionality, style, and documentation.

Due Date

There is a soft (suggested) due date of Day 13 for the detection part (up to, but not including the recognition section). The due date for the whole lab is at the beginning of Day 14. The part that says "navigation" may be done as part of an in class activity on Day 14 (no need to worry about it outside of class).

Credits

The credit for this assignment goes to the NINJAs, Ryan and Rocco. As I mentioned in class, this assignment is based on Kai Levy's, Dakota Nelson's, and Ryan Louie's project from the last iteration of CompRobo. Ryan and Rocco both helped to morph the final project output into a structured lab format.