# 使用 Homebrew 安装 grt

查看 grt 的安装路径、可执行文件、元数据以及面向 AI 代理工作流的安全说明。

## 安装

```sh
sudo av install brew:grt
```

其他安装命令:

### macOS

- Homebrew (100%):

```sh
brew install grt
```

  证据: local Homebrew formula metadata

## 软件包事实

- **软件包键:** brew:grt
- **软件包管理器:** Homebrew
- **版本:** 0.2.4
- **来源摘要:** Gesture Recognition Toolkit for real-time machine learning
- **主页:** <https://nickgillian.com/grt/>
- **仓库:** <https://github.com/nickgillian/grt>
- **已生成:** 2026-08-03T19:37:03+00:00

## 可执行文件

- grt-lin-reg-tool (别名)
- grt-log-reg-tool (别名)
- grt-merge-tool (别名)
- grt-mlp-tool (别名)
- grt-rf-tool (别名)
- grt-softmax-tool (别名)
- grt-split-tool (别名)
- grt-svm-tool (别名)
- grt-test-tool (别名)

## 安装行为

- Bottle: 不可用

## 版本和新鲜度

- 页面生成时间: 2026-08-03
- 管理器版本: 0.2.4
## 项目历史与用法

The Gesture Recognition Toolkit, or GRT, is an open-source C++ machine-learning toolkit for real-time gesture recognition. Its research paper and project documentation emphasize accessibility for non-specialists building interactive systems from sensor data.

### 项目历史

GRT grew out of Nicholas Gillian and Joseph A. Paradiso's work at the MIT Media Lab Responsive Environments Group and was described in a 2014 Journal of Machine Learning Research paper. The paper presents it as a cross-platform C++ library for real-time gesture recognition, feature extraction, automatic gesture spotting, classification, regression, and clustering.

The GitHub repository was created in January 2014 and the public release stream on GitHub includes version 0.1.0 in February 2016, 0.2.0 in August 2016, and 0.2.4 in December 2016. The repository README describes both a C++ API and GUI, plus .grt and CSV data/model files.

### 采用历史

GRT found a niche in creative coding, interactive music, sensor interfaces, and human-computer interaction rather than broad systems administration. Its README lists extensions and users such as ofxGrt for openFrameworks, ml-lib for Max and Pure Data, and ESP, showing adoption through research and media-arts tooling.

### 使用方式

The Homebrew package exposes small command-line tools for common models and data preparation tasks, while the library itself is normally embedded in C++ projects. Users build pipelines from preprocessing, feature extraction, and classifier modules, train models from labeled sensor data, and run predictions in real time.

### 为什么软件包爱好者会关心

GRT is interesting in package-manager culture because it packages academic interactive-machine-learning work as a reusable native library plus command-line helpers. It sits at the boundary between research code, creative-coding ecosystems, and reproducible Unix installation.

### 时间线

- 2014: GRT described in the Journal of Machine Learning Research.
- 2014: GitHub repository created for nickgillian/grt.
- 2016: GRT Version 0.1.0 published on GitHub releases.
- 2016: GRT Version 0.2.0 published.
- 2016: GRT Version 0.2.4 published.

### Related projects

- ofxGrt integrates GRT with openFrameworks.
- ml-lib uses GRT concepts in Max and Pure Data contexts.
- ESP is listed by the GRT project as an application using GRT as a backend machine-learning system.

### 来源

- <https://api.github.com/repos/nickgillian/grt>
- <https://api.github.com/repos/nickgillian/grt/releases?per_page=30>
- <https://github.com/nickgillian/grt>
- <https://nickgillian.com/grt/>
- <https://www.jmlr.org/papers/volume15/gillian14a/gillian14a.pdf>


## 安全说明

narrow executable package without higher-risk signals.

- **Geiger 风险:** 绿色 / 低
- narrow executable package without higher-risk signals


## Combined YAML source

View the package source record on GitHub. [combined/grt.yml](https://github.com/mxcl/pkgdb/blob/main/combined/grt.yml)


## 来源

- pkg.so package database
- Geiger risk classifier
- curated package history
- pkgdb category and tag curation
- cross-ecosystem install command graph