人脸检测从相机

Question

我想检测来自摄像头输入的人脸。我首先尝试用图像来检测人脸。我尝试了文档中的代码和博客中提供的面部检测代码，但它们都不适合我。我使用的是OpenCV 2.4.7和Visual Studio 2010。

得到以下错误:

错误LNK2019:在函数_main中引用的未解析的外部符号_cvReleaseHaarClassifierCascade D:opencv_projects@@@@HandDetectfacesfacesfaces。obj面临

错误LNK2019:在函数"void __cdecl detectFaces(void)"中引用的未解析的外部符号_cvHaarDetectObjects(? detectFaces@@YAXXZ) D: opencv_projects @@@@HandDetect 脸。obj面临

错误LNK2019:无法解析的外部符号"void __cdecl detectFaces(struct _IplImage *)"(? detectfaces@yaxpau_iplimage@@z)在函数_main中引用D:opencv_projects@@@@HandDetectfacesfacesfaces。obj面临

D:opencv_projects@@@@HandDetectfacesDebugfaces.exe 11 faces

我代码:

void detectFaces();
IplImage *inImage;
CvHaarClassifierCascade *cascade;
CvMemStorage *storage;
CvMemStorage *facesstorage=cvCreateMemStorage(0);;
CvSeq* faces = cvCreateSeq(CV_SEQ_ELTYPE_POINT,sizeof(CvSeq),sizeof(CvPoint),facesstorage);
void detectFaces (IplImage *newframe);
int key;
int iImg;
int N_Images=20;   
int main(int argc, const char** argv)
{
// (1) Defining the path and Loading the Classifier (C format)
        cascade = ( CvHaarClassifierCascade* )cvLoad(  "D:/opencv_projects/@@@@HandDetect/faces/MyCascade/haarcascade_frontalface_alt2.xml");   
//cascade =cvLoadHaarClassifierCascade( "D:\opencv_projects\@@@@HandDetect\faces\MyCascade\haarcascade_frontalface_alt2.xml",cvSize(100,100));
        //cascade = ( CvHaarClassifierCascade* )cvLoad("haarcascade_frontalface_alt2.xml");
        // (3)  Creating Buffer
        storage = cvCreateMemStorage(0) ;   

        // (4)  Loads a single Image into 
        inImage = cvLoadImage("D:\Opencv\test\camera\A.jpg",1);
        // (5) Check for proper initialization
        if( !cascade  || !storage || !inImage)
            {
                printf("Initialization Failed: %sn", 
                    (!cascade)? " Cascade file not found !n":
                    (!storage)?  " Not memmory allocated or not enough memory !n":
                                 " The input file can not be found!n");
                system("pause");
                return 0;
            }

          // (6) face detection
        detectFaces( inImage );                     // Calling the face detection function for the input image-inImage 
        cvShowImage("Face Detection",inImage);      // Shows the final image after Face detection, in Window "Face Detection"
        cvReleaseImage( &inImage);                  // Release the current image from memory
        cvWaitKey(0);       
//cascade = ( CvHaarClassifierCascade* )cvLoad("D:\opencv_projects\@@@@HandDetect\faces\MyCascade\haarcascade_frontalface_alt2.xml");
// (5) Check for proper initialization
        if( !cascade  || !storage || !inImage)
            {
                printf("Initialization Failed: %sn", 
                    (!cascade)? " Cascade file not found !n":
                    (!storage)?  " Not memmory allocated or not enough memory !n":
                                 " The input file can not be found!n");
                system("pause");
                return 0;
            }
        // (7) Load a set of multiple images
        char buf[22];       
        for(iImg=0; iImg<=N_Images; iImg++)  // WHOLE DATABASE LOAD
            {
                sprintf(buf, "MyImages/P%04d.bmp", iImg);                       
                printf("n");       
                inImage = cvLoadImage(buf, CV_LOAD_IMAGE_UNCHANGED);  
                printf("Input Image = P%04d.bmpn", iImg);              
                detectFaces( inImage );
                cvShowImage("Face Detection",inImage);
                cvReleaseImage( &inImage);                  
                key= cvWaitKey(0);                              // Exit if the key q or Q is pressed
                if ( key == 'q' || key == 'Q' )
                return(0);
            }

        //(8) Releasing the resources (Cascade and Buffer)
        cvReleaseHaarClassifierCascade( &cascade );
        cvReleaseMemStorage( &storage );
        return 0;
    }

    void detectFaces( )
    {
        CvSeq *faces = cvHaarDetectObjects( inImage, cascade, storage,1.4, 1, 0,  cvSize( 100, 100 ) );
        // Looking for better detection?! Try these parameters: 
        // 1.15, 5, 0, cvSize(30 x 30)
        for( int i = 0 ; i < ( faces ? faces->total : 0 ) ; i++ )
            {
                CvRect *r = ( CvRect *)cvGetSeqElem( faces, i );
                cvRectangle(inImage,cvPoint( r->x, r->y ),cvPoint( r->x + r->width, r->y + r->height ),CV_RGB( 0, 255, 0 ), 2, 8, 0 );  
            }
    }

    //END OF CODE

Answer 1

请确认OpenCV 已正确安装并链接到您的项目。当库没有很好地链接到项目时，会发生此错误。