# DrGFreeman/rps-cv

<https://repo.masters-masters.com/en/repos/DrGFreeman/rps-cv>

[Home](https://repo.masters-masters.com/en) › [DrGFreeman](https://repo.masters-masters.com/en/owners/DrGFreeman) › [rps-cv](https://repo.masters-masters.com/en/repos/DrGFreeman/rps-cv)

DrGFreeman/rps-cv has 125 stars on GitHub. Its RepoMasters card: Prototype tier. A Rock-Paper-Scissors game using computer vision and machine learning on…

| Field | Value |
| --- | --- |
| Owner | [DrGFreeman](https://repo.masters-masters.com/en/owners/DrGFreeman) |
| Stars | 125 |
| Forks | 35 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2017 |
| Topics | raspberry-pi, raspberry-pi-camera, rock-paper-scissors, machine-learning, computer-vision, sklearn, skimage, opencv, opencv-python, game |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [DrGFreeman/rps-cv](https://github.com/DrGFreeman/rps-cv) |

## Repository

A Rock-Paper-Scissors game using computer vision and machine learning on Raspberry Pi

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.