# 使用 Homebrew 安装 camellia

查看 camellia 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:camellia
```

其他安装命令:

### macOS

- Homebrew (100%):

```sh
brew install camellia
```

  证据: local Homebrew formula metadata

## 软件包事实

- **软件包键:** brew:camellia
- **软件包管理器:** Homebrew
- **版本:** 2.7.0
- **来源摘要:** Image Processing & Computer Vision library written in C
- **主页:** <https://camellia.sourceforge.net/>
- **已生成:** 2026-08-03T19:37:03+00:00

## 可执行文件

- cam_demo (别名)
- cam_myobjects (别名)
- cam_yalefaces (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: 2.7.0
## 项目历史与用法

Camellia is a small open-source image processing and computer vision library written in plain C, distributed with example programs and Doxygen documentation.

### 项目历史

The official homepage says Camellia came from the European Camellia project, IST-2001-34410. It was developed by Ecole des Mines de Paris in coordination with partners including Philips Electronics Nederland, University of Hannover, University of Las Palmas, Philips Semiconductors Hamburg, and Renault.

The library was opened to disseminate results from that research project. Its homepage describes it as cross-platform C code for Unix, Linux, and Windows, with optimized functions for filtering, morphology, labelling, warping, drawing, projection and backprojection, color conversion, and image loading and saving.

### 采用历史

Camellia's visible adoption is modest and mostly historical. The project was hosted on SourceForge and positioned itself as a replacement for the discontinued Intel IPL library and a complement to OpenCV.

Its Homebrew packaging keeps the command-line demos and C library buildable on macOS, but the official site does not document a large modern downstream ecosystem.

### 使用方式

The library is used from C programs for image processing and computer-vision routines. The Homebrew package installs demonstration executables such as cam_demo, cam_myobjects, and cam_yalefaces.

The official documentation is Doxygen-oriented, so the expected user is a developer linking the C library rather than a user running a polished end-user application.

### 为什么软件包爱好者会关心

Camellia is package-nerd interesting as preserved research software: a plain-C computer-vision library from the early-2000s SourceForge era that still has enough structure to be packaged.

It also captures a transition point in vision tooling, explicitly relating itself to Intel IPL and OpenCV before OpenCV became the default answer for most open-source computer-vision work.

### 时间线

- 2001: Camellia European project IST-2001-34410 begins as the research context for the library.
- 2007: Official homepage document metadata records creation and last save dates for the project site.
- 2026: Homebrew still ships the camellia formula with demo executables.

### Related projects

- OpenCV is named by the official homepage as a complementary library.
- Intel IPL is named by the official homepage as a discontinued library Camellia could replace.
- The original Camellia European project is the research project from which the open-source library emerged.

### 来源

- <https://camellia.sourceforge.net/>
- <https://camellia.sourceforge.net/doc/html/index.html>
- <https://sourceforge.net/p/camellia/code>
- <https://sourceforge.net/projects/camellia/>
- input.json source_facts.executables


## 安全说明

broad file, network, media, or database tool signal.

- **Geiger 风险:** blue / 中
- broad file, network, media, or database tool signal


## Combined YAML source

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


## 来源

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