c++ 的 open cv 人脸检测代码
// ConsoleApplication2.cpp: 主项目文件。
#include "stdafx.h"
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/core/core.hpp>
#include <opencv2/objdetect/objdetect.hpp>
#include <iostream>
#include <stdio.h>
using namespace std;
using namespace cv;
/** Function Headers */
void detectAndDisplay(Mat frame);
/** Global variables */
String face_cascade_name = "E:\\code\\opencv\\opencv3.4.4\\opencv\\sources\\data\\haarcascades\\haarcascade_frontalface_default.xml";//
String eyes_cascade_name = "E:\\code\\opencv\\opencv3.4.4\\opencv\\sources\\data\\haarcascades\\haarcascade_eye_tree_eyeglasses.xml";
CascadeClassifier face_cascade; //定义人脸分类器
CascadeClassifier eyes_cascade; //定义人眼分类器
String window_name = "Capture - Face detection";
CascadeClassifier cascade, nestedCascade;
/** @function main */
int main(void)
{
//Mat frame = imread("D:\\Documents\\Visual Studio 2015\\Projects\\ConsoleApplication2\\ConsoleApplication2\\001.jpg");
Mat frame = imread("001.jpg");
//VideoCapture capture;
//Mat frame;
//-- 1. Load the cascades
if (!cascade.load(face_cascade_name)) { printf("--(!)Error loading face cascade\n"); return -1; };
if (!nestedCascade.load(eyes_cascade_name)) { printf("--(!)Error loading eyes cascade\n"); return -1; };
//-- 2. Read the video stream
//capture.open(0);
//if (!capture.isOpened()) { printf("--(!)Error opening video capture\n"); return -1; }
//while (capture.read(frame))
//{
// if (frame.empty())
// {
// printf(" --(!) No captured frame -- Break!");
// break;
// }
//-- 3. Apply the classifier to the frame
detectAndDisplay(frame);
int c = waitKey(0);
if ((char)c == 27) { return 0; } // escape
//}
return 0;
}
/** @function detectAndDisplay */
void detectAndDisplay(Mat frame)
{
std::vector<Rect> faces;
Mat frame_gray;
cvtColor(frame, frame_gray, COLOR_BGR2GRAY);
equalizeHist(frame_gray, frame_gray);
//-- Detect faces
//cascade.detectMultiScale(frame_gray, faces, 1.1, 3, CV_HAAR_DO_ROUGH_SEARCH, Size(70, 70), Size(100, 100));
cascade.detectMultiScale(frame_gray, faces,
1.1, 2, 0
//|CV_HAAR_FIND_BIGGEST_OBJECT
//|CV_HAAR_DO_ROUGH_SEARCH
| CV_HAAR_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);
//ellipse(frame, center, Size(faces[i].width / 2, faces[i].height / 2), 0, 0, 360, Scalar(255, 0, 255), 4, 8, 0);
rectangle(frame, faces[i], Scalar(255, 0, 0), 2, 8, 0);
Mat faceROI = frame_gray(faces[i]);
std::vector<Rect> eyes;
//-- In each face, detect eyes
nestedCascade.detectMultiScale(faceROI, eyes, 1.1, 1, CV_HAAR_DO_ROUGH_SEARCH, Size(3, 3));
for (size_t j = 0; j < eyes.size(); j++)
{
Rect rect(faces[i].x + eyes[j].x, faces[i].y + eyes[j].y, eyes[j].width, eyes[j].height);
//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);
//circle(frame, eye_center, radius, Scalar(255, 0, 0), 4, 8, 0);
rectangle(frame, rect, Scalar(0, 255, 0), 2, 8, 0);
}
}
//-- Show what you got
namedWindow(window_name, 2);
imshow(window_name, frame);
}