[{"createTime":1735734952000,"id":1,"img":"hwy_ms_500_252.jpeg","link":"https://activity.huaweicloud.com/cps.html?fromacct=261f35b6-af54-4511-a2ca-910fa15905d1&utm_source=V1g3MDY4NTY=&utm_medium=cps&utm_campaign=201905","name":"华为云秒杀","status":9,"txt":"华为云38元秒杀","type":1,"updateTime":1735747411000,"userId":3},{"createTime":1736173885000,"id":2,"img":"txy_480_300.png","link":"https://cloud.tencent.com/act/cps/redirect?redirect=1077&cps_key=edb15096bfff75effaaa8c8bb66138bd&from=console","name":"腾讯云秒杀","status":9,"txt":"腾讯云限量秒杀","type":1,"updateTime":1736173885000,"userId":3},{"createTime":1736177492000,"id":3,"img":"aly_251_140.png","link":"https://www.aliyun.com/minisite/goods?userCode=pwp8kmv3","memo":"","name":"阿里云","status":9,"txt":"阿里云2折起","type":1,"updateTime":1736177492000,"userId":3},{"createTime":1735660800000,"id":4,"img":"vultr_560_300.png","link":"https://www.vultr.com/?ref=9603742-8H","name":"Vultr","status":9,"txt":"Vultr送$100","type":1,"updateTime":1735660800000,"userId":3},{"createTime":1735660800000,"id":5,"img":"jdy_663_320.jpg","link":"https://3.cn/2ay1-e5t","name":"京东云","status":9,"txt":"京东云特惠专区","type":1,"updateTime":1735660800000,"userId":3},{"createTime":1735660800000,"id":6,"img":"new_ads.png","link":"https://www.iodraw.com/ads","name":"发布广告","status":9,"txt":"发布广告","type":1,"updateTime":1735660800000,"userId":3},{"createTime":1735660800000,"id":7,"img":"yun_910_50.png","link":"https://activity.huaweicloud.com/discount_area_v5/index.html?fromacct=261f35b6-af54-4511-a2ca-910fa15905d1&utm_source=aXhpYW95YW5nOA===&utm_medium=cps&utm_campaign=201905","name":"底部","status":9,"txt":"高性能云服务器2折起","type":2,"updateTime":1735660800000,"userId":3}]
历史版本的opencv中使用cvmat储存数据，使用iplimage存储图像，是基于C的数据存储结构
之后的opencv2.x出现mat类型，不用手动管理内存，相比cvmat和iplimage更加方便，这里主要介绍mat和其二者的转换关系
cvmat 和 iplimage派生于同一个基类cvarr，所以其二者到mat有相同的转换方式
iplimage->mat
IplImage* frame = cvCreateImage(cvSize(640,480),IPL_DEPTH_8U,1); //浅拷贝 cv::Mat
m = cv::cvarrToMat(frame) //深拷贝 copydata设置为true cv::Mat m =
cv::cvarrToMat(frame, true);
或直接用构造函数
IplImage* src = cvLoadImage("xx.jpg"); //浅拷贝 Mat M(src); Mat M(src, false);
Mat M = src; //深拷贝 Mat M(src, true);
cvmat->mat
CvMat* frame = cvCreateMat(3, 3, CV_32FC1); //浅拷贝 cv::Mat m =
cv::cvarrToMat(frame) //深拷贝 copydata设置为true cv::Mat m = cv::cvarrToMat(frame,
true);
反过来，由mat到iplimage和cvmat的转换
mat->iplimage
Mat src = imread("x.jpg"); IplImage* m = &IplImage(src); //深拷贝使用clone复制数据
IplImage *m = cvCloneImage(m);
mat->cvmat
opencv 2.x 可以直接赋值使用
Mat src = ...; CvMat dst = img;
而在更高版本3.x 使用cvmat的构造函数即可
Mat src = ...; CvMat dst(img);
