# waldo-vision/optical.flow.demo

<https://repo.masters-masters.com/en/repos/waldo-vision/optical.flow.demo>

[Home](https://repo.masters-masters.com/en) › [waldo-vision](https://repo.masters-masters.com/en/owners/waldo-vision) › [optical.flow.demo](https://repo.masters-masters.com/en/repos/waldo-vision/optical.flow.demo)

waldo-vision/optical.flow.demo has 529 stars on GitHub. Its RepoMasters card: Alpha tier. A project that uses optical flow and machine learning to detect…

| Field | Value |
| --- | --- |
| Owner | [waldo-vision](https://repo.masters-masters.com/en/owners/waldo-vision) |
| Stars | 529 |
| Forks | 24 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MPL-2.0 |
| Created | 2021 |
| Topics | machine-learning, deep-learning, optical-flow, opencv, opencv-python, gaming, anticheat, fps, fps-shooter, anti-cheat |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [waldo-vision/optical.flow.demo](https://github.com/waldo-vision/optical.flow.demo) |

## Repository

A project that uses optical flow and machine learning to detect aimhacking in video clips.

Archived: this repository is read-only

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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