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思想很简单,就是调用摄像头,获取图像帧,将图像帧放入opencv带的人脸识别库检测出窗口。最后使用滤波函数对检测窗口进行模糊操作。再拷贝回原图。完成
- #include "opencv2/imgcodecs.hpp"
- #include "opencv2/highgui.hpp"
- #include "opencv2/imgproc.hpp"
- #include "opencv2/photo.hpp"
- #include <iostream>
- #include <string>
- #include <opencv2/core/core.hpp>
- #include <opencv2/highgui/highgui.hpp>
- #include <opencv2/objdetect.hpp>
- #include <opencv2\imgproc\types_c.h>
- //#include <opencv2/gpu/gpu.hpp>
- using namespace cv;
- using namespace std;
- string xmlPath = "E:/opencv_learn/opencv_test/haarcascade_frontalface_default.xml";
- //xmlpath 字符串记录那个.xml文件的路径
- void detectAndDisplay(Mat image);
- int main(int argc, char** argv)
- {
- string path = "E:/opencv_learn/opencv_test/1.jpg";//以检测图片1.jpg为例
- Mat image = imread(path, -1);
-
- CascadeClassifier a; //创建脸部对象
- if (!a.load(xmlPath)) //如果读取文件不出错,则检测人脸
- {
- cout <<

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