Ubuntu+opencv基于C++人脸识别的图片叠加

清疚 2023-06-23 14:27 7阅读 0赞

注意事项：  
①背景图或者摄像头读取的图，通常要求能被识别到人的眼睛与脸部，另外效果会受光线明暗对人脸的影响。  
②叠加图的背景颜色需要被透明化，我的方法是使用在线抠图软件对其操作。  
[怪兽抠图][Link 1]  
![怪兽抠图][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80Mzc5MzE4MQ_size_16_color_FFFFFF_t_70]  
将背景透明化后保存下来就可以正常运用了。

具体代码如下：（可以纯图片叠加或基于摄像头的图片叠加，注释部分为纯图片叠加）

#include "opencv2/objdetect/objdetect.hpp"
    #include "opencv2/highgui/highgui.hpp"
    #include "opencv2/imgproc/imgproc.hpp"
    
    #include <iostream>
    #include <stdio.h>
    
    using namespace std;
    using namespace cv;
    
    void detectAndDisplay( Mat frame );
    String face_cascade_name = "/home/jiajia/workspace/git/git clone/haarcascades/haarcascade_frontalface_alt.xml";
    String eyes_cascade_name = "/home/jiajia/workspace/git/git clone/haarcascades/haarcascade_eye_tree_eyeglasses.xml";
    CascadeClassifier face_cascade;
    CascadeClassifier eyes_cascade;
    
    const int FRAME_WIDTH = 1280;
    const int FRAME_HEIGHT = 240;
    
    int main( void )
    { 
        // Load the cascades
        if( !face_cascade.load( face_cascade_name ) ){  printf("--(!)Error loading\n"); return -1; };
        if( !eyes_cascade.load( eyes_cascade_name ) ){  printf("--(!)Error loading\n"); return -1; };
    
    // frame = imread("/home/jiajia/workspace/maozi/005.jpg");//背景图片
        // Apply the classifier to the frame
    // if( !frame.empty() )
    // { detectAndDisplay( frame );}
    
        VideoCapture cap(0);
        if(!cap.isOpened())  //检测是否打开成功
            return -1;
    
        while(1)
        { 
            Mat frame;
            cap >> frame; // 从摄像头中获取新的一帧
            detectAndDisplay( frame );
    
            if(waitKey(30) >= 0) break;
        }
    
        return 0;
    }
    
    void mapToMat(const cv::Mat &srcAlpha, cv::Mat &dest, int x, int y)
    { 
        int nc = 3;
        int alpha = 0;
    
        for (int j = 0; j < srcAlpha.rows; j++)
        { 
            for (int i = 0; i < srcAlpha.cols*3; i += 3)
            { 
                alpha = srcAlpha.ptr<uchar>(j)[i / 3*4 + 3];
                //alpha = 255-alpha;
                if(alpha != 0) //4通道图像的alpha判断
                { 
                    for (int k = 0; k < 3; k++)
                    { 
                        // if (src1.ptr<uchar>(j)[i / nc*nc + k] != 0)
                        if( (j+y < dest.rows) && (j+y>=0) &&
                            ((i+x*3) / 3*3 + k < dest.cols*3) && ((i+x*3) / 3*3 + k >= 0) &&
                            (i/nc*4 + k < srcAlpha.cols*4) && (i/nc*4 + k >=0) )
                        { 
                            dest.ptr<uchar>(j+y)[(i+x*nc) / nc*nc + k] = srcAlpha.ptr<uchar>(j)[(i) / nc*4 + k];
                        }
                    }
                }
            }
        }
    }
    
    void detectAndDisplay( Mat frame )
    { 
        std::vector<Rect> faces;
        Mat frame_gray;
        Mat hatAlpha;
    
        hatAlpha = imread("/home/jiajia/workspace/maozi/滑稽.png",-1);//叠加的图片
            imshow("1",hatAlpha);
    
        cvtColor( frame, frame_gray, COLOR_BGR2GRAY );
        equalizeHist( frame_gray, frame_gray );
    
        face_cascade.detectMultiScale( frame_gray, faces, 1.1, 2, 0|CASCADE_SCALE_IMAGE, Size(30, 30) );
        for( size_t i = 0; i < faces.size(); i++ )
        { 
    // Point center( faces[i].x + faces[i].width/2, faces[i].y + faces[i].height/2 );
    // Mat faceROI = frame_gray( faces[i] );
    // std::vector<Rect> eyes;
    
    // eyes_cascade.detectMultiScale( faceROI, eyes, 1.1, 2, 0 |CASCADE_SCALE_IMAGE, Size(30, 30) );
    
    // for( size_t j = 0; j < eyes.size(); j++ )
    // { 
    // Point eye_center( faces[i].x + eyes[j].x + eyes[j].width/2, faces[i].y + eyes[j].y + eyes[j].height/2 );
    // int radius = cvRound( (eyes[j].width + eyes[j].height)*0.25 );
    // }
                resize(hatAlpha,hatAlpha,Size(faces[i].width, faces[i].height),0,0,INTER_LANCZOS4);   //叠加图片的尺寸大小
                mapToMat(hatAlpha,frame,faces[i].x,faces[i].y+0.1*faces[i].height);                   //叠加图片的位置
        }
        imshow( "result", frame );
    // imwrite("/home/jiajia/workspace/maozi/merry_christmas.jpg",frame);
    }

![通过摄像头进行叠加操作的效果图][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80Mzc5MzE4MQ_size_16_color_FFFFFF_t_70 1]

更多资料请点击：[我的目录][Link 2]

[Link 1]: https://818ps.com/koutu/?route_id=15767611049727&route=&after_route=
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80Mzc5MzE4MQ_size_16_color_FFFFFF_t_70]: https://img-blog.csdnimg.cn/20191219211320358.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80Mzc5MzE4MQ==,size_16,color_FFFFFF,t_70
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80Mzc5MzE4MQ_size_16_color_FFFFFF_t_70 1]: https://img-blog.csdnimg.cn/20191219211556534.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80Mzc5MzE4MQ==,size_16,color_FFFFFF,t_70
[Link 2]: http://note.youdao.com/noteshare?id=1370b0e8f4a16b80e7dede7836df3c08