macOS
brew install camellialocal Homebrew formula metadata
brew
Prüfe Installationswege, Executables, Metadaten und Sicherheitshinweise für camellia in AI-Agent-Workflows.
Installation
brew install camellialocal Homebrew formula metadata
Überblick
Image Processing & Computer Vision library written in C
Verlauf
Camellia is a small open-source image processing and computer vision library written in plain C, distributed with example programs and Doxygen documentation.
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.
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.
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.
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.
Sicherheitslage
broad file, network, media, or database tool signal.
blue Risiko · mittel Konfidenz · tool
Prüfe vor unbeaufsichtigter Agent-Nutzung, ob das Tool Klartext-Credentials liest, Remote-Zustand schreibt, Artefakte veröffentlicht oder Plugins ausführt.
Executables
| Befehl | Art | Sichtbarkeit | Hinweis |
|---|---|---|---|
cam_demo | cli | globales Executable | |
cam_myobjects | cli | globales Executable | |
cam_yalefaces | cli | globales Executable |
Aktualität
Diese Signale trennen das Alter der Seitengenerierung, Aktivität des Paketmanagers und Upstream-Release-Vergleich. Versionsrückstand wird nur gemeldet, wenn eine Evidenz-URL und vergleichbare Versionen vorhanden sind.
https://camellia.sourceforge.net/
Installationsmetadaten
| Paketschlüssel | brew:camellia |
|---|---|
| Version | 2.7.0 |
| Paketmanager | Homebrew |
| Paketmanager-Seite | https://formulae.brew.sh/formula/camellia |
| Homepage | https://camellia.sourceforge.net/ |
| Repository | https://sourceforge.net/p/camellia/code |
| Upstream-Dokumentation | https://camellia.sourceforge.net/ |
| Lizenz | BSD-3-Clause |
| Quellarchiv | https://downloads.sourceforge.net/project/camellia/Unix_Linux%20Distribution/v2.7.0/CamelliaLib-2.7.0.tar.gz |
| Bottle | verfügbar (auf arm64_big_sur, arm64_linux, arm64_monterey, arm64_sequoia, arm64_sonoma, arm64_tahoe, arm64_ventura, big_sur, catalina, monterey, sonoma, ventura, x86_64_linux) |
| Homebrew post-install | nicht definiert |
| Dienst | keiner deklariert |
Registry-Fakten
| Source Database | Homebrew formula API |
|---|---|
| Tap | homebrew/core |
| Full Name | camellia |
| Version Scheme | 0 |
| Revision | 0 |
| Bottle Stable Root URL | https://ghcr.io/v2/homebrew/core |
| Deprecated | no |
| Disabled | no |
| Keg Only | no |
| URL Keys |
|
Quellspur
Diese Seite wird von av-web aus dem privaten Paket-SQLite-Artefakt bereitgestellt, das scripts/generate-pkg-sqlite.py erstellt.
View the package source record on GitHub.