Opencv For IOS

Step 1:
新建一个工程 选择Single View Application ---->next
Step 2:
导入有用的framework

opencv2.framework需要自己下载
opencv2.framework如下导入方式
添加文件

注意红色圈

其他 .framework如下方式导入
这里写图片描述

导入framework后如下图所示
这里写图片描述
Step 3:
下图1的位置将.m文件改为.mm文件
这里写图片描述

Step 4:
添加protocol
这个delegate可以用来出来获取的视频图像
Step 5:创建一个CvVideoCamera的实例
@property (nonatomic,strong) CvVideoCamera *videoCamera;

Step 6:将videoCamera对象与imageView连接:
self.videoCamera = [[CvVideoCamera alloc] initWithParentView:self.imageView];
self.videoCamera.delegate = self;
self.videoCamera.defaultAVCaptureDevicePosition = AVCaptureDevicePositionBack;//调用摄像头前置或者后置
self.videoCamera.defaultAVCaptureSessionPreset = AVCaptureSessionPreset640x480;//设置图像分辨率
self.videoCamera.rotateVideo=YES;// 解决图像显示旋转90°问题
self.videoCamera.grayscaleMode = NO;//获取图像是灰度还是彩色图像
self.videoCamera.defaultFPS = 30;//摄像头频率
只要简单的设置,现在videoCamera已经就绪了,只需要以下命令:
[self.videoCamera start];
[self.videoCamera stop];
进行控制

Step 7:对获取的实时图像进行处理
利用protocol的method:

-(void)processImage:(cv::Mat &)image {

//添加自己的图像处理算法
if (!image.empty()) {
if(image.channels()==4)
{ cv::Mat gray;
cv::cvtColor(image, gray, CV_BGRA2GRAY);
cv::GaussianBlur(gray, gray, cv::Size(5,5), 1.2, 1.2);
cv::Mat edges;
cv::Canny(gray, edges, 0, 60);
image.setTo(cv::Scalar::all(255));
image.setTo(cv::Scalar(0,128,255,255), edges);
self.imageView.image = MatToUIImage(image);
}else if(image.channels()==3)
{
cv::Mat gray;
cv::cvtColor(image, gray, CV_RGB2GRAY);
cv::GaussianBlur(gray, gray, cv::Size(5,5), 1.2, 1.2);
cv::Mat edges;
cv::Canny(gray, edges, 0, 60);
image.setTo(cv::Scalar::all(255));
image.setTo(cv::Scalar(0,128,255,255), edges);
self.imageView.image = MatToUIImage(image);
}
else if(image.channels()==1){
cv::Mat gray;
cv::GaussianBlur(image, gray, cv::Size(5,5), 1.2, 1.2);
cv::Mat edges;
cv::Canny(gray, edges, 0, 60);
image.setTo(cv::Scalar::all(255));
image.setTo(cv::Scalar(0,128,255,255), edges);
self.imageView.image = MatToUIImage(image);
}
else{
}
}
}
代码结构

有时会出现如下错误
ld: ‘/Users///*/opencv2.framework/opencv2(cap_ios_video_camera.o)’ does not contain bitcode. You must rebuild it with bitcode enabled (Xcode setting ENABLE_BITCODE), obtain an updated library from the vendor, or disable bitcode for this target. for architecture arm64

Build Phases 收索bit code 将Enable Bitcode 后面的Yes改为No。

出现如下错误时

这样操作

Opencv+IOS源码

Opencv For IOS 配置视频

ASM(stasm)模型已经成功移植到IOS。需要的同志可留言!!!

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转载自blog.csdn.net/liufanghuangdi/article/details/51769593