基于OpenCV的防久坐解决方案源码+使用文档+全部资料（优秀项目）.zip

#include <iostream> #include <opencv2/opencv.hpp> #include <opencv2\highgui\highgui.hpp> #include <ctime> #include <Windows.h> #include "Python.h" //#include "FaceRecognition.cpp" using namespace cv; using namespace std; bool initialization(VideoCapture&, CascadeClassifier&); bool get_img(VideoCapture, Mat&); bool faceRecognition(Mat, vector<Rect>&, CascadeClassifier); void sit_or_not(vector<Rect>); void notification(); int detected = 0; int absent = 0; int sit_count = 0; bool sit_flag = false; bool sent_flag = false; bool test_flag = true; int main() { notification(); return 0; /*Mat frame, frame_gray; VideoCapture cam(0); CascadeClassifier face; vector<Rect> faceRect; if (!initialization(cam, face)) return -1; while (1) { if (!get_img(cam, frame)) break; if (!faceRecognition(frame, faceRect, face)) break; sit_or_not(faceRect); imshow("BigBrotherVideo", frame); if (waitKey(30) == 27) break; Sleep(2000); } waitKey(0); return 0;*/ } bool initialization(VideoCapture &cam, CascadeClassifier &face) { if (!face.load("haarcascade_frontalface_alt.xml")) { cout << "Failed to load haarcascade_frontalface_alt.xml!" << endl; return false; } if (!cam.isOpened()) { cout << "Failed to open the camera!" << endl; return false; } return true; } bool get_img(VideoCapture cam, Mat &frame) { if (!cam.read(frame)) { cout << "Failed to read the frame" << endl; return false; } return true; } bool faceRecognition(Mat img, vector<Rect>& res, CascadeClassifier face) { Mat img_gray; cvtColor(img, img_gray, CV_BGR2GRAY); equalizeHist(img_gray, img_gray); face.detectMultiScale(img_gray, res, 1.1, 2, 0); return true; } void sit_or_not(vector<Rect> faceRect) { if (faceRect.size() == 0) { absent++; //cout << "Buzai" << endl; } else { absent = 0; detected++; //cout << "Zai" << endl; } if (!sit_flag && detected >= 5) sit_flag = true; if (absent >= 2) { sit_flag = false; detected = 0; } if (sit_flag) { if ((sent_flag && sit_count % 3 == 0) || !sent_flag) { notification(); sent_flag = true; } sit_count++; } cout << "Current data:" << endl << "Detected: " << detected << endl << "Absent: " << absent << endl << endl; } void notification() { Py_Initialize(); /* string path = "~/python"; string chdir_cmd = string("sys.path.append(\"") + path + "\")"; const char* cstr_cmd = chdir_cmd.c_str(); PyRun_SimpleString("import sys"); PyRun_SimpleString(cstr_cmd); */ PyObject * pModule = PyImport_ImportModule("notification"); PyObject * pFunc = PyObject_GetAttrString(pModule, "notification"); PyEval_CallObject(pFunc, NULL); Py_Finalize(); }