Dlib —— 对图片进行人脸检测（附C++源码）

news2024/11/25 22:36:09

效果

在这里插入图片描述

注意：Dlib检测人脸在Release版耗时与CPU有关,本人I7 10代约100ms左右。建议人脸检测可以考虑使用Yolov5进行，之后将检测到的人脸输入给Dlib做特征或其他。

代码

Vs2017下使用Dlib检测人脸，并通过OpenCv将结果绘制出来。（由于Dlib库已编译好，Vs工程环境自行搭建，OPenCv环境参考本人之前的专栏文章）

#include <iostream>

#include <dlib/image_processing/frontal_face_detector.h>
#include <dlib/gui_widgets.h>
#include <dlib/image_io.h>

#include "opencv2/opencv.hpp"

int main()
{
	char filename[] = "./Face/face2.png";

	clock_t  start_t = (double)clock();
	// 加载人脸检测器
	dlib::frontal_face_detector detector = dlib::get_frontal_face_detector();
	dlib::array2d <unsigned char> img;
	dlib::load_image(img, filename);
	clock_t end_t = (double)clock();
	int64_t curTime = 1000 * (end_t - start_t) / (double)CLOCKS_PER_SEC;
	std::cout << "rrrr:" << curTime;		// 计算初始化耗时

	start_t = (double)clock();
	std::vector<dlib::rectangle> dets = detector(img);
	end_t = (double)clock();
	curTime = 1000 * (end_t - start_t) / (double)CLOCKS_PER_SEC;
	std::cout << "dddddd:" << curTime;		// 计算检测耗时

	cv::Mat Mat = cv::imread(filename);
	for (std::vector<dlib::rectangle>::iterator it = dets.begin(); it != dets.end(); ++it)
	{
		dlib::rectangle rect = *it;
		unsigned short l = rect.left();
		unsigned short u = rect.top();
		unsigned short w = rect.width();
		unsigned short h = rect.height();
		cv::rectangle(Mat, cv::Rect(l, u, w, h), cv::Scalar(255, 0, 0), 2);
	}
	cv::imshow("Mat", Mat);
	cv::waitKey(0);

	system("pause");
	return 0;
}