Package hypermedia.video
Processing and Java Library
See:
Description
|
Class Summary |
| Blob |
A storage object containing a blob detected by OpenCV. |
| OpenCV |
The main object for all computer vision processes. |
Package hypermedia.video Description
Processing and Java Library
OpenCV is an open source computer vision library originally developed by Intel. It is free for commercial and research use under a BSD license. The library is cross-platform, and runs on Mac OS X, Windows and Linux. It focuses mainly towards real-time image processing, as such, if it finds Intel's Integrated Performance Primitives on the system, it will use these commercial optimized routines to accelerate itself.
This implementation is not a complete port of OpenCV. Currently, this library supports :
- real-time capture
- video file import
- basic image treatment (brightness, contrast, threshold, …)
- object detection (face, body, …)
- blob detection
Future versions will include more advanced functions such as motion analysis, object and color tracking, multiple OpenCV object instances …
For more information about OpenCV visit the Open Source Computer Vision Library Intel webpage, the OpenCV Library Wiki, and the OpenCV Reference Manual (pdf).
Installation instructions
- Begin by downloading and installing the implementation of OpenCV appropriate to your platform:
- For Windows, download the latest OpenCV_*.exe package and follow the instructions of the installer.
notes: be sure to select the additional tasks 'Add <...>\OpenCV\bin to system PATH' during installation (or you need to add the rigth path by yourself later) and reboot your machine.
- For MacOS X, dowload the opencv-framework-1.1.dmg image and install the package by following instructions of the installer
- For Linux users, if your distribution doesn't propose packages in your favorite Package Manager tool, download the latest opencv-*.tar.gz archive and compile/install the source files as describe in the Linux install guide.
- Download, unzip, and move the OpenCV Processing Library into your Processing libraries folder, or for Java users copy the content of the library folder in one of your Java Extensions folder.
- Optionally, you can download these OpenCV Processing examples or, for pure Java users, these OpenCV Java samples.
- Previous library version can be downloaded here
Documentation
- See the What's New document for all new implementation or for some of the most important changes
- Processing documentation … :) start with this page (also include in the OpenCV Processing Library zip archive)
- For Java users, the Javadoc reference for this project (online only). For offline documentation dowload the OpenCV Java Library API
Credits
The OpenCV Processing Library is a project of the Atelier hypermédia at the École Supérieure d'Art d'Aix-en-Provence. It is maintained by Stéphane Cousot and Douglas Edric Stanley. Special thanks to the openframeworks community for support and the C++ Binary Quicksort method.