【Detect.h】
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 |
#ifndef DETECT_H_ #define DETECT_H_ #ifdef __cplusplus #include <opencv2\opencv.hpp> #include <cv.h> #include <list> #pragma comment(lib, "opencv_core2413.lib") #pragma comment(lib, "opencv_imgproc2413.lib") #pragma comment(lib, "opencv_objdetect2413.lib") using namespace cv; using namespace std; #endif class Detect { public : Mat img; Detect(); list get_face_rect(Mat img); // 从gray上获取到位置，再在原图上截取下图片 ~Detect(); private : Mat img_gray; vector<Rect> faces; vector<Rect> detectFaces(Mat img); }; #endif |
【Detect.cpp】
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 |
#include "stdafx.h" #include "Detect.h" #include <direct.h> Detect::Detect(){} list<int> Detect::get_face_rect(Mat img) { cvtColor(img,img_gray,COLOR_BGR2GRAY); //转换成灰度图 equalizeHist(img_gray,img_gray); //均衡化灰度图 typedef list<int> LISTINT; LISTINT listInt; LISTINT::iterator i; faces = detectFaces(img_gray); //在灰度图上识别出人脸 for(size_t i=0; i<faces.size();i++){ int x = faces[i].x; //脸部中心的x位置 int y = faces[i].y; //脸部中心的y位置 int width = faces[i].width; //脸部区域的宽度 int heigh = faces[i].height; //脸部区域的高度 listInt.insert (listInt.end(), x); listInt.insert (listInt.end(), y); listInt.insert (listInt.end(), width); listInt.insert (listInt.end(), heigh); } return listInt; } vector<Rect> Detect::detectFaces(Mat img) //识别人脸 { CascadeClassifier faces_cascade; string path; const char *pc = _getcwd(NULL, 0); path = pc; string face_date_name; string Link = path + "\\" + "haarcascade_frontalface_alt.xml"; // 人脸识别库直接就放在与生成的软件统一路径下就可以了 faces_cascade.load(Link); faces_cascade.detectMultiScale(img,faces,1.6, 2, 0|CV_HAAR_SCALE_IMAGE, Size(200, 200) ); return faces; } Detect::~Detect(){} |
【Detect_face.cpp】
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 |
// Detect_face.cpp : 定义 DLL 应用程序的导出函数。 // #include "stdafx.h" #include "Detect.h" int main() { return 0; } extern "C"_declspec(dllexport) bool matrix(HBITMAP Bmp,int *N); bool __declspec(dllexport) matrix(HBITMAP Bmp,int *N) { BITMAP bmp; GetObject(Bmp,sizeof(BITMAP),&bmp); int nChannels = bmp.bmBitsPixel == 1 ? 1 : bmp.bmBitsPixel/8 ; int depth = bmp.bmBitsPixel == 1 ? IPL_DEPTH_1U : IPL_DEPTH_8U; Mat v_mat; v_mat.create(cvSize(bmp.bmWidth,bmp.bmHeight), CV_MAKETYPE(CV_8U,nChannels)); GetBitmapBits(Bmp,bmp.bmHeight*bmp.bmWidth*nChannels,v_mat.data); Mat img = v_mat; Detect det; list<int> matrix = det.get_face_rect(img); if(matrix.begin() == matrix.end()) { return false; } else { list<int>::iterator iter = matrix.begin(); int r; int size = matrix.size(); for(r = 0; r < size ; r++){ if(r == size - 1) { N[r] = *iter; }else{ N[r] = *iter++; } } return true; } } |
调用时直接传入一张图的指针，会返回出是否取到脸，然后通过指针获取人脸的x，y，width，height