opencv實現(xiàn)拍照的程序

實現(xiàn)拍照的簡單程序,按空格拍照,esc退出

    #include<opencv2\opencv.hpp>  
    #include<opencv2\highgui\highgui.hpp>  
    #include<opencv2\imgproc\imgproc.hpp>  
    #include<iostream>  
    #include<stdio.h>  
    using namespace cv;
    using namespace std;
    
    int main(int argc, char* argv)
    {
        VideoCapture  capture(0);
        Mat frame;
        if (!capture.isOpened())
        {
            return -1;
        }
        
        char filename[200];
        int count = 23;
    
        while (1)
        {
            char key = cv::waitKey(50);
            capture.read(frame);
            imshow("video", frame);
    
            if (key == 27)break;//按ESC鍵退出程序  
            if (key == 32)//按空格鍵進行拍照  
            {
                sprintf(filename, "D:\\pic\\pic%d.jpg", ++count);
                imwrite(filename, frame);//圖片保存到本工程目錄中  
                imshow("image", frame);
            }
        }
        return 0;
    }

讀取文件夾中的圖片并將其按照尺寸進行裁剪

            #include<opencv2\opencv.hpp>  
            #include<opencv2\highgui\highgui.hpp>  
            #include<opencv2\imgproc\imgproc.hpp>  
            #include<iostream>  
            #include<stdio.h>  
            using namespace cv;
            using namespace std;
            
            String face_cascade_name = "haarcascade_frontalface_default.xml";
            CascadeClassifier face_cascade;   //定義人臉分類器  
            int i = 1;
            void detectAndCut(Mat image);
            
            int main(int argc, char* argv)
            {
            
                Mat image;
                char fileName[244];
                if (!face_cascade.load(face_cascade_name)){ printf("--(!)Error loading face cascade\n"); return -1; };
            
            
                for (int i = 1; i < 245; i++)
                {
                    sprintf(fileName, "D:\\pic\\pic%d.jpg", i);//用這個函數(shù)來轉(zhuǎn)換圖片名稱，存放在filename中。
                    image = imread(fileName, 1);
                    //imshow(filename, image);
                    detectAndCut(image);
                }
            
                return 0; 
            }
            
            void detectAndCut(Mat image)
            {
                std::vector<Rect> faces;
                Mat img_gray;
                char fileOutName[244];
                
            
                cvtColor(image, img_gray, COLOR_BGR2GRAY);
                equalizeHist(img_gray, img_gray);
            
                //-- Detect faces  
                face_cascade.detectMultiScale(img_gray, faces, 1.1, 3, CV_HAAR_DO_ROUGH_SEARCH, Size(50, 50));
            
                for (size_t j = 0; j < faces.size(); j++)
                {
                    Mat faceROI = image(faces[j]);
                    Mat MyFace;
                    if (faceROI.cols > 100)
                    {
                        resize(faceROI, MyFace, Size(92, 112));
            
            
                        sprintf(fileOutName, "D:\\MyFace\\MyFcae%d.jpg", i++);
                        imwrite(fileOutName, MyFace);
                        imshow("ii", MyFace);
                    }
                    waitKey(10);
                }
            }