# camellia mit Homebrew installieren

Prüfe Installationswege, Executables, Metadaten und Sicherheitshinweise für camellia in AI-Agent-Workflows.

## Installation

```sh
sudo av install brew:camellia
```

Weitere Installationsbefehle:

### macOS

- Homebrew (100%):

```sh
brew install camellia
```

  Evidenz: local Homebrew formula metadata

## Paketfakten

- **Paketschlüssel:** brew:camellia
- **Paketmanager:** Homebrew
- **Version:** 2.7.0
- **Quellzusammenfassung:** Image Processing & Computer Vision library written in C
- **Homepage:** <https://camellia.sourceforge.net/>
- **Generiert:** 2026-08-03T19:37:03+00:00

## Executables

- cam_demo (Alias)
- cam_myobjects (Alias)
- cam_yalefaces (Alias)

## Installationsverhalten

- Bottle: nicht verfügbar

## Version und Aktualität

- Seite generiert: 2026-08-03
- Manager-Version: 2.7.0
## Projektgeschichte und Nutzung

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

### Projektgeschichte

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.

### Adoptionsgeschichte

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.

### Wie es verwendet wird

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.

### Warum Paket-Nerds sich dafür interessieren

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.

### Zeitleiste

- 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.

### Quellen

- <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


## Sicherheitshinweise

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

- **Geiger-Risiko:** blue / mittel
- 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)


## Quellen

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