学习opencv例子facedetect.cpp

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我是靠谱客的博主机智秋天，最近开发中收集的这篇文章主要介绍学习opencv例子facedetect.cpp，觉得挺不错的，现在分享给大家，希望可以做个参考。

概述

实现很简单，需要定制的就三点：

分类器模型可以自己训练，也可以用opencv自带的
标记方式是圆圈还是方块可以自己决定
图片来源可以自定义，不限于摄像头和电脑的本地资源

编译后运行

./opencv_example --cascade="data/haarcascades/haarcascade_frontalface_alt.xml" --nested-cascade="data/haarcascades/haarcascade_eye_tree_eyeglasses.xml" --scale=1.3 data/lena.jpg

源码解释

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

using namespace std;
using namespace cv;

static void help(const char** argv)
{
    cout << "nThis program demonstrates the use of cv::CascadeClassifier class to detect objects (Face + eyes). You can use Haar or LBP features.n"
            "This classifier can recognize many kinds of rigid objects, once the appropriate classifier is trained.n"
            "It's most known use is for faces.n"
            "Usage:n"
        <<  argv[0]
        <<  "   [--cascade=<cascade_path> this is the primary trained classifier such as frontal face]n"
            "   [--nested-cascade[=nested_cascade_path this an optional secondary classifier such as eyes]]n"
            "   [--scale=<image scale greater or equal to 1, try 1.3 for example>]n"
            "   [--try-flip]n"
            "   [filename|camera_index]nn"
            "example:n"
        <<  argv[0]
        <<  " --cascade="data/haarcascades/haarcascade_frontalface_alt.xml" --nested-cascade="data/haarcascades/haarcascade_eye_tree_eyeglasses.xml" --scale=1.3nn"
            "During execution:ntHit any key to quit.n"
            "tUsing OpenCV version " << CV_VERSION << "n" << endl;
}
//	前置声明
void detectAndDraw( Mat& img, CascadeClassifier& cascade,
                    CascadeClassifier& nestedCascade,
                    double scale, bool tryflip );

//	定义分类器地址字符串
string cascadeName;
string nestedCascadeName;

int main( int argc, const char** argv )
{
    VideoCapture capture;