Question

我想从相机输入中检测到脸部。我首先尝试使用图像检测脸部。我尝试了博客中提供的文档和面部检测代码中的代码，但它们都不适用于我。我正在使用OpenCV 2.4.7和Visual Studio 2010。

我收到以下错误：

错误LNK2019：函数_main中引用的未解析的外部符号_cvReleaseHaarClassifierCascade D：\ opencv_projects \ @@@@ HandDetect \ faces \ faces \ faces.obj faces

错误LNK2019：未解析的外部符号_cvHaarDetectObjects在函数“void __cdecl detectFaces（void）”中引用（？detectFaces @@ YAXXZ）D：\ opencv_projects \ @@@@ HandDetect \ faces \ faces \ faces.obj faces

错误LNK2019：未解析的外部符号“void __cdecl detectFaces（struct _IplImage *）”（？detectFaces @@ YAXPAU_IplImage @@@ Z）在函数_main D中引用：D：\ opencv_projects \ @@@@ HandDetect \ faces \ faces \ faces .obj面对

错误LNK1120：3个未解析的外部D：\ opencv_projects \ @@@@ HandDetect \ faces \ Debug \ faces.exe 1 1个面孔

我的代码：

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: %s\n", 
                    (!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: %s\n", 
                    (!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.bmp\n", 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。当库未与您的项目链接时，会发生此错误。尝试使用其他PC / OS。

从相机进行人脸检测

1 个答案: