macOS
Homebrew已验证 · 100%
brew install grtlocal Homebrew formula metadata
安装
其他安装命令
概览
软件包摘要
Gesture Recognition Toolkit for real-time machine learning
历史
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
安全态势
风险级别：绿色
narrow executable package without higher-risk signals.
风险分类器
绿色 风险 · 低 置信度 · appliance
原因
- narrow executable package without higher-risk signals
信号
- metadata:no-higher-risk-signals
安装行为
- 未记录 Homebrew bottle 元数据。
建议审查
在无人值守的代理使用前，请检查该工具是否读取明文凭据、写入远程状态、发布制品或调用插件。
可执行文件
已安装的可执行文件
| 命令 | 类型 | 暴露范围 | 备注 |
|---|---|---|---|
grt-lin-reg-tool | 可执行文件 | 已索引可执行文件 | 从本地可执行文件索引发现。 |
grt-log-reg-tool | 可执行文件 | 已索引可执行文件 | 从本地可执行文件索引发现。 |
grt-merge-tool | 可执行文件 | 已索引可执行文件 | 从本地可执行文件索引发现。 |
grt-mlp-tool | 可执行文件 | 已索引可执行文件 | 从本地可执行文件索引发现。 |
grt-rf-tool | 可执行文件 | 已索引可执行文件 | 从本地可执行文件索引发现。 |
grt-softmax-tool | 可执行文件 | 已索引可执行文件 | 从本地可执行文件索引发现。 |
grt-split-tool | 可执行文件 | 已索引可执行文件 | 从本地可执行文件索引发现。 |
grt-svm-tool | 可执行文件 | 已索引可执行文件 | 从本地可执行文件索引发现。 |
grt-test-tool | 可执行文件 | 已索引可执行文件 | 从本地可执行文件索引发现。 |
新鲜度
版本和新鲜度
这些信号区分页生成时间、软件包管理器活动和上游发布比较。只有存在证据 URL 和可比较版本时，才会提示版本落后。
页面生成时间2026-08-03
管理器版本0.2.4
管理器更新时间
本地数据未知
上游不可用
检测到的最新版本未检测到
- OK没有生成新鲜度警告。
安装元数据
软件包元数据
| 软件包键 | brew:grt |
|---|---|
| 版本 | 0.2.4 |
| 软件包管理器 | Homebrew |
| 主页 | https://nickgillian.com/grt/ |
| 仓库 | https://github.com/nickgillian/grt |
| Bottle | 未记录 |
| 服务 | 未声明 |
来源线索
由仓库数据生成
此页面由 av-web 从 scripts/generate-pkg-sqlite.py 生成的私有软件包 SQLite 工件提供。
Combined YAML source
View the package source record on GitHub.
使用的来源
- Geiger risk classifier
- cross-ecosystem install command graph
- curated package history
- pkg.so package database
- pkgdb category and tag curation