OpenCV 教程_machine learning classes

下面的链接是一系列基本的OpenCV教程。教程中提到的代码都包含在正式发布的OpenCV之中。下面的教程是根据OpenCV的SVN仓库之中的reST文件自动生成。

我们一直非常愿意收到您的反馈，以及您贡献的教程。

• OpenCV介绍

  你将学习如何安装OpenCV。

• core 模块. 核心功能

  在这儿你将学习OpenCV中的基本数据结构。这一部分建议必读，这样你可以知道如何去读写图像的像素，以及相关的操作。

• imgproc 模块. 图像处理

  在这一部分你将学习OpenCV中的图像处理函数。

• highgui 模块. 高层GUI和媒体I/O

  This section contains valuable tutorials about how to read/save your image/video files and how to use the built-in graphical user interface of the library.

• calib3d 模块. 相机定标和三维重建

  Although we got most of our images in a 2D format they do come from a 3D world. Here you will learn how to find out from the 2D images information about the 3D world.

• feature2d 模块. 2D特征框架

  学习如何使用OpenCV中的特征点检测，特征点描述，以及匹配算法。

• video 模块. 视频分析

  Look here in order to find use on your video stream algoritms like: motion extraction, feature tracking and foreground extractions.

• objdetect 模块. 物体检测

  Ever wondered how your digital camera detects peoples and faces? Look here to find out!

• ml 模块. 机器学习

  Use the powerfull machine learning classes for statistical classification, regression and clustering of data.

• gpu 模块. 使用GPU加速的计算机视觉

  Squeeze out every little computation power from your system by using the power of your video card to run the OpenCV algorithms.

• General tutorials

  These tutorials are the bottom of the iceberg as they link together multiple of the modules presented above in order to solve complex problems.