截（2）取图片1成功不理想.zip_图片中截取人脸

//运行环境OPENCV2.4.9 VS2012 WIN7X64 /*【opencv】批量人脸截取 - 小白笔记本 - CSDN博客 https ://blog.csdn.net/qq_15947787/article/details/51393030 */ #include <opencv2\opencv.hpp> #include <iostream> #include <Windows.h> using namespace std; using namespace cv; void AllImagePro(string src, string dst, static int number); void detectAndCut(Mat img, string dir, string filename); char* WcharToChar(const wchar_t* wp); wchar_t* CharToWchar(const char* c); wchar_t* CharToWchar(const char* c); wchar_t* StringToWchar(const string& s); //1.CascadeClassifier face_cascade; //2.String face_cascade_name = "haarcascade_frontalface_alt.xml"; String face_cascade_name = "D:\\D\\2019window\\opencvfacetwo\\haarcascade_frontalface_default.xml"; CascadeClassifier face_cascade; int main() { //在文件夹0图片中寻找人脸并截取存放到文件夹0cut中 if (!face_cascade.load(face_cascade_name)) { printf("--(!)Error loading\n"); return -1; }; //AllImagePro("0", "0cut", 20);//20是图片数量 AllImagePro("D:\\D\\2019window\\opencvfacetwo\\pimage[25]", "D:\\D\\2019window\\opencvfacetwo\\pimage[25]size2",20); cout << "cut……OK！" << endl; return 0; } //读取目录src下min（number，所有图像）图像提取人脸并保存到srccut目录， //参数：原图片目录src 剪切图片保存目录dst 读取最大数量number void AllImagePro(string src, string dst, static int number) { int count = 0; string src1 = src; string src1cut = dst; HANDLE hFile; LPCTSTR lpFileName = StringToWchar(src1 + "/" + "*.*"); //指定搜索目录和文件类型，如搜索d盘的音频文件可以是"D:\\*.mp3" WIN32_FIND_DATA pNextInfo; //搜索得到的文件信息将储存在pNextInfo中; hFile = FindFirstFile(lpFileName, &pNextInfo);//请注意是 &pNextInfo , 不是 pNextInfo; if (hFile == INVALID_HANDLE_VALUE) { //搜索失败 exit(-1); } cout << "文件夹" << src << "找到的图片：" << endl; do { if (pNextInfo.cFileName[0] == '.')//过滤.和.. continue; count++; printf("%s\n", WcharToChar(pNextInfo.cFileName)); Mat img = imread(src1 + "/" + WcharToChar(pNextInfo.cFileName), 1); detectAndCut(img, src1cut, WcharToChar(pNextInfo.cFileName)); } while (FindNextFile(hFile, &pNextInfo) && count<number);//如果设置读入的图片数量，则以设置的为准，如果图片不够，则读取文件夹下所有图片 } //人脸检测 //参数：待检测图像img 保存路径dir 保存文件名name void detectAndCut(Mat img, string dir, string filename) { std::vector<Rect> faces; Mat img_gray; cvtColor(img, img_gray, COLOR_BGR2GRAY); equalizeHist(img_gray, img_gray); //-- Detect faces face_cascade.detectMultiScale(img_gray, faces, 1.1, 2, 0 | CV_HAAR_SCALE_IMAGE, Size(30, 30)); for (size_t i = 0; i < faces.size(); i++) { Point rec(faces[i].x, faces[i].y); Point rec2(faces[i].x + faces[i].width, faces[i].y + faces[i].height); Mat roi_img = img(Range(faces[i].y, faces[i].y + faces[i].height), Range(faces[i].x, faces[i].x + faces[i].width)); imwrite(dir + "/" + filename, roi_img); //imwrite("D:\\D\\2019window\\opencvfacetwo\\pimage[25]size2", roi_img); } } char* WcharToChar(const wchar_t* wp) { char *m_char; int len = WideCharToMultiByte(CP_ACP, 0, wp, wcslen(wp), NULL, 0, NULL, NULL); m_char = new char[len + 1]; WideCharToMultiByte(CP_ACP, 0, wp, wcslen(wp), m_char, len, NULL, NULL); m_char[len] = '\0'; return m_char; } wchar_t* CharToWchar(const char* c) { wchar_t *m_wchar; int len = MultiByteToWideChar(CP_ACP, 0, c, strlen(c), NULL, 0); m_wchar = new wchar_t[len + 1]; MultiByteToWideChar(CP_ACP, 0, c, strlen(c), m_wchar, len); m_wchar[len] = '\0'; return m_wchar; } wchar_t* StringToWchar(const string& s) { const char* p = s.c_str(); return CharToWchar(p); }