第一种方式很简单，再podfile中加入pod 'OpenCV-iOS', '~> 3.1'，然后运行pod install就行，网速慢成功率很低。 ps:安装前可以先 pod search OpenCV 查看当前最新版本
第二种方式就是去官网下载，http://opencv.org/releases.html。将下载的opencv2.framework.zip解压拖入工程
配置依赖库 首先将下载好的opencv2.framework添加到项目中，并且将OpenCV所需的依赖库添加到项目中。
-
libc++.tbd
-
AVFoundation.framework
-
CoreImage.framework
-
CoreGraphics.framework
-
QuartzCore.framework
-
Accelerate.framework 如果要使用摄像头做视频处理，还需要添加以下两个依赖库：
-
CoreVideo.framework
-
CoreMedia.framework
-
AssetsLibrary.framework
配置头文件
为了避免import的麻烦。接下来在开发过程中想要使用OpenCV时，只需要把要使用的文件改为.mm格式以支持C++，就可以直接编写代码了
打开项目中的Prefix.pch文件，在两段文字中间加入下列语句：
- #import <Availability.h>
- #ifndef __IPHONE_5_0
- #warning "This project uses features only available in iOS SDK 5.0 and later."
- #endif
- #ifdef __cplusplus
-
#include <opencv2/opencv.hpp> //需要添加的语句 - #endif
- #ifdef OBJC
- #import <UIKit/UIKit.h>
- #import <Foundation/Foundation.h>
- #endif#import <Availability.h>
- #ifndef __IPHONE_5_0
- #warning "This project uses features only available in iOS SDK 5.0 and later."
- #endif
- #ifdef __cplusplus
-
#include <opencv2/opencv.hpp> //需要添加的语句 - #endif
- #ifdef OBJC
- #import <UIKit/UIKit.h>
- #import <Foundation/Foundation.h>
- #endif
可能碰到的问题
以前的版本，比如我以前使用的2.4.11的版本，在导入``opencv2.framework```添加到项目后，运行可能碰到以下错误: Undefined symbols for architecture x86_64: "_jpeg_free_large", referenced from: _free_pool in opencv2(jmemmgr.o) "_jpeg_free_small", referenced from: _free_pool in opencv2(jmemmgr.o) _self_destruct in opencv2(jmemmgr.o) "_jpeg_get_large", referenced from: _alloc_large in opencv2(jmemmgr.o) _alloc_barray in opencv2(jmemmgr.o) "_jpeg_get_small", referenced from: _jinit_memory_mgr in opencv2(jmemmgr.o) _alloc_small in opencv2(jmemmgr.o) "_jpeg_mem_available", referenced from: _realize_virt_arrays in opencv2(jmemmgr.o) "_jpeg_mem_init", referenced from: _jinit_memory_mgr in opencv2(jmemmgr.o) "_jpeg_mem_term", referenced from: _jinit_memory_mgr in opencv2(jmemmgr.o) _self_destruct in opencv2(jmemmgr.o) "_jpeg_open_backing_store", referenced from: _realize_virt_arrays in opencv2(jmemmgr.o) ld: symbol(s) not found for architecture x86_64 clang: error: linker command failed with exit code 1 (use -v to see invocation) 经过网上搜索得知是缺少了libjpeg.a依赖库，你可以在网上搜索这个a文件，下载后使用lipo -info libjpeg.a查看是否包含armv6 armv7 armv7s arm64支持。当然也可以直接下载libjpeg-turbo，安装后直接从此路径/opt/libjpeg-turbo/lib/libjpeg.a复制加入到项目中。不过在最新的OpenCV 2.4.13版本已经不会这个错误提示了。
如果运行上面的例子出现出现以下错误:
Undefined symbols for architecture arm64: "OBJC_CLASS$_ALAssetsLibrary", referenced from: objc-class-ref in opencv2(cap_ios_video_camera.o) "_CMSampleBufferGetPresentationTimeStamp", referenced from: -[CvVideoCamera captureOutput:didOutputSampleBuffer:fromConnection:] in opencv2(cap_ios_video_camera.o) "_CMTimeMake", referenced from: -[CvVideoCamera createVideoDataOutput] in opencv2(cap_ios_video_camera.o) "_CMSampleBufferGetImageBuffer", referenced from: -[CaptureDelegate captureOutput:didOutputSampleBuffer:fromConnection:] in opencv2(cap_avfoundation.o) -[CvVideoCamera captureOutput:didOutputSampleBuffer:fromConnection:] in opencv2(cap_ios_video_camera.o) ld: symbol(s) not found for architecture arm64 clang: error: linker command failed with exit code 1 (use -v to see invocation)
这是因为我们使用了摄像头和视频， 需要导入CoreVideo.framework，CoreMedia.framework，AssetsLibrary.framework三个库即不会出错了。
补充:
顺序很重要
#import <opencv2/opencv.hpp>
#import <opencv2/videoio/cap_ios.h>
#import <opencv2/objdetect/objdetect.hpp>
#import <opencv2/imgproc/imgproc_c.h>
#import <opencv2/highgui.hpp>
#import <opencv2/imgproc/types_c.h>
#import <opencv2/imgcodecs/ios.h>
如果同时使用tesseractOCR
1.pod tesseractOCR 报错记得设置 target buildsetting 搜索 bitcode 设置为NO
2.opencv 官网下载最新opencv.framwork
注意: 项目中如果有pch的话, y要在里面j加上
#ifdef __cplusplus
#include <opencv2/opencv.hpp> //需要添加的语句
#endif