<opencv>第十二课人脸检测

涉及模块objdetect:Object Detection

1	`class cv::CascadeClassifier`

用于对象检测的级联分类器类。

1	`bool load (const String &filename)`

从文件加载分类器。

1	`bool empty() const`

检查分类器是否已加载。

1	`void detectMultiScale(InputArray image, std::vector<Rect> &objects, double scaleFactor=1.1, int minNeighbors=3, int flags=0, Size minSize=Size(), Size maxSize=Size())`

检测输入图像中不同大小的对象。检测到的对象作为矩形列表返回。

#include <opencv2/imgcodecs.hpp>
#include <opencv2/highgui.hpp>
#include <opencv2/imgproc.hpp>
#include <opencv2/objdetect.hpp>
#include <iostream>

using namespace cv;
using namespace std;

int main()
{
	string path = "face.pgm";
	Mat img = imread(path);

	CascadeClassifier faceCascade;
    CascadeClassifier eyeCascade;
	faceCascade.load("haarcascade_frontalface_default.xml");
    eyeCascade.load("haarcascade_eye.xml");

	if (faceCascade.empty()) { cout << "XML file not loaded" << endl; }
    if (eyeCascade.empty()) { cout << "XML file not loaded" << endl; }
	vector<Rect> faces;
    vector<Rect> eyes;
	faceCascade.detectMultiScale(img, faces, 1.1, 10);
    eyeCascade.detectMultiScale(img, eyes, 1.1, 10);
	for (int i = 0; i < faces.size(); i++) 
	{
		rectangle(img, faces[i].tl(), faces[i].br(), Scalar(255, 0, 255), 3);
	}
    for (int i = 0; i < eyes.size(); i++) 
	{
		rectangle(img, eyes[i].tl(), eyes[i].br(), Scalar(255, 255, 0), 3);
	}

	imshow("Image", img);
	waitKey(0);

	return 0;
}