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DetectEyes
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运用C++检测人眼, 2)用opencv中检测人脸、眼睛、嘴巴等都是用的CascadeClassifier分类器,具体使用时可以使用C的函数,也可以使用opencv中使用C++封装好的类。下面是它们检测目标时的函数形式(从opencv官网复制的) C: CvSeq* cvHaarDetectObjects(const CvArr* image, CvHaarClassifierCascade* cascade, CvMemStorage* storage, double scale_factor=1.1, int min_neighbors=3, int flags=0, CvSize min_size=cvSize(0,0), CvSize max_size=cvSize(0,0) ) C++: void CascadeClassifier::detectMultiScale(const Mat& image, vector<Rect>& objects, double scaleFactor=1.1, int minNeighbors=3, int flags=0, Size minSize=Size(), Size maxSize=Size()) 这两者最大的区别在于,用C封装的函数要自己手动分配内存,而用C++的形式则不用自己去分配内存,这就是很多同学在网上找到的代码有些要分配内存,有些又不用分配内存的原因。显然C++的形式更简洁,所以我下面的代码也是用的C++的函数。- Detected with opencv face, eyes, mouth, etc. are used CascadeClassifier classification, you can use C functions specific use, you can use opencv use C++ classes packaged. Here is the form of the function when they detect target (copied the opencv official website)
Date
: 2025-12-16
Size
: 2.53mb
User
:
刘卓
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