как установиnm opencv

The main object for all computer vision processes.

The OpenCV Processing Library is a project of the at the . It is maintained by and . Special thanks to the community for support and the C++ Binary Quicksort method.

To maintain the project active, to complete this library or to fix bugs, dowload the lastest , including makefiles to compile the project on any platform.

For Java users, the reference for this project (online only). For offline documentation dowload the

Processing documentation вІV :) start with this page (also include in the OpenCV Processing Library zip archive)

See the document for all new implementation or for some of the most important changes

Previous library version can be downloaded

Optionally, you can download these or, for pure Java users, these .

DUE TO AN ERROR WHILE PACKAGING THE ZIP FILE, THIS VERSION UPDATED SHOULD SOLVE THE WINDOWS PROBLEM ABOUT DLL DEPENDENCIES AND OPENCV 1.0

Download, unzip, and move the into your libraries folder, or for Java users copy the content of the library folder in one of your Java Extensions folder.

For Linux users, if your distribution doesn't propose packages in your favorite Package Manager tool, download the latest archive and compile/install the source files as describe in the .

For MacOS X, dowload the image and install the package by following instructions of the installer

For Windows, download the (not the 1.1pre1) 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.

Begin by downloading and installing the implementation of OpenCV appropriate to your platform:

For more information about OpenCV visit the Intel webpage, the , and the (pdf).

Future versions will include more advanced functions such as motion analysis, object and color tracking, multiple OpenCV object instances вІV

object detection (face, body, вІV)

basic image treatment (brightness, contrast, threshold, вІV)

This implementation is not a complete port of OpenCV. Currently, this library supports :

OpenCV is an open source computer vision library originally developed by . It is free for commercial and research use under a . 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 on the system, it will use these commercial optimized routines to accelerate itself.