1.core

The Core Functionality.包含核心数据结构及函数功能的定义

2.imgproc

Image Processing

3.imgcodecs

Image file reading and writing

4.videoio

Media I/O

5.highgui

High-level GUI and Media I/O 图形显示界面

6.video

Video Analysis

7.calib3d

Camera Calibration and 3D Reconstruction 相机标定及三维重建

8.features2d

Feature Detection and Description

9.objdetect

Object Detection

10.ml

Machine Learning

11.flann

Clustering and Search in Multi-Dimensional Spaces

12.photo

Computational Photography 计算摄影学

13.cuda

CUDA-accelerated Computer Vision

14.cudaarithm

CUDA-accelerated Operations on Matrices

15.cudabgsegm

CUDA-accelerated Background Segmentation.CUDA支持的背景分割

16.cudacodec

CUDA-accelerated Video Encoding/Decoding

17.cudafeatures2d

CUDA-accelerated Feature Detection and Description

18.cudafilters

CUDA-accelerated Image Filtering

19.cudaimgproc

CUDA-accelerated Image Processing

20.cudaoptflow

CUDA-accelerated Optical Flow.CPU加速光流计算

21.cudastereo

CUDA-accelerated Stereo Correspondence.CPU加速立体匹配

22.cudawarping

CUDA-accelerated Image Warping.CPU加速图像扭曲

23.shape

Shape Distance and Matching

24.superres

Super Resolution.超分辨率

25.videostab

Video Stabilization. 数字视频去抖动

26.viz

3D Visualizer.3D可视化

27.bioinspired

Biologically inspired vision models and derivated tools.仿生视觉模型及衍生工具

28.cvv

GUI for Interactive Visual Debugging of Computer Vision Programs.交互式调试GUI

29.datasets

Framework for working with different datasets.(The datasets module includes classes for working with different datasets: load data, evaluate different algorithms on them, contains benchmarks, etc)

30.face

Face Recognition

31.optflow

Optical Flow Algorithms.光流算法

32.reg

Image Registration.图像配准

33.rgbd

RGB-Depth Processing.RGB 3通道图像处理

34.surface_matching

Surface Matching.曲面匹配

35.text

Scene Text Detection and Recognition.场景文本的检测识别

36.tracking

Tracking API.图像追踪

37.xfeatures2

Extra 2D Features Framework.扩展特征提取（有一部分算法non-free）

38.ximgproc

Extended Image Processing.扩展图像处理　　

39.xobjdetect

Extended object detection

40.xphoto

Additional photo processing algorithms

（注：x开头的为扩展模块，需单独下载，下载地址https://github.com/opencv/opencv_contrib，编译时直接copy到opencv目录下即可；cuda模块需要预先安装cuda，并在编译时勾选cuda选项）

Opencv 3.2.0 模块简介