這里是運行速度 （i7-6700）

https://github.com/ShiqiYu/libfacedetection
首先下載代碼壓縮包，解壓

打開src

將這幾個文件復制到你的項目文件夾中

在項目中以添加現有項的方式將這四個文件添加到項目中

右鍵項目打開項目屬性，并選擇Release – x64

首先配置opencv，請自行查閱其他人的博客，有很多人都有詳細的配置步驟，這里跳過
選擇c/c++ 優化選擇使速度最大化（/O2）

所有選項OpenMp支持 --是

在facedetectcnn.h下對代碼進行修改

修改之后，在自己的項目下創建新的cpp把以下代碼復制進去（于老師給的例子，攝像頭檢測人臉，并把調用攝像頭的代碼進行了一點點更改）

/* By downloading, copying, installing or using the software you agree to this license. If you do not agree to this license, do not download, install, copy or use the software.License Agreement For libfacedetection (3-clause BSD License)Copyright (c) 2018-2020, Shiqi Yu, all rights reserved. shiqi.yu@gmail.comRedistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:* Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.* Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.* Neither the names of the copyright holders nor the names of the contributors may be used to endorse or promote products derived from this software without specific prior written permission.This software is provided by the copyright holders and contributors "as is" and any express or implied warranties, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose are disclaimed. In no event shall copyright holders or contributors be liable for any direct, indirect, incidental, special, exemplary, or consequential damages (including, but not limited to, procurement of substitute goods or services; loss of use, data, or profits; or business interruption) however caused and on any theory of liability, whether in contract, strict liability, or tort (including negligence or otherwise) arising in any way out of the use of this software, even if advised of the possibility of such damage. */#include <stdio.h> #include <opencv2/opencv.hpp> #include "facedetectcnn.h"//define the buffer size. Do not change the size! #define DETECT_BUFFER_SIZE 0x20000 using namespace cv;int main() {VideoCapture capture(0);Mat face;int * pResults = NULL;//pBuffer is used in the detection functions.//If you call functions in multiple threads, please create one buffer for each thread!unsigned char * pBuffer = (unsigned char *)malloc(DETECT_BUFFER_SIZE);if (!pBuffer){fprintf(stderr, "Can not alloc buffer.\n");return -1;}Mat im;if (!capture.isOpened()){puts("dont open video.");system("pause");return -1;}if (capture.isOpened()){while (true){capture >> im;//cout << "Image size: " << im.rows << "X" << im.cols << endl;Mat image = im.clone();///// CNN face detection // Best detection rate////!!! The input image must be a BGR one (three-channel) instead of RGB//!!! DO NOT RELEASE pResults !!!TickMeter cvtm;cvtm.start();pResults = facedetect_cnn(pBuffer, (unsigned char*)(image.ptr(0)), image.cols, image.rows, (int)image.step);cvtm.stop();printf("time = %gms\n", cvtm.getTimeMilli());printf("%d faces detected.\n", (pResults ? *pResults : 0));Mat result_image = image.clone();//print the detection resultsfor (int i = 0; i < (pResults ? *pResults : 0); i++){short * p = ((short*)(pResults + 1)) + 142 * i;int confidence = p[0];int x = p[1];int y = p[2];int w = p[3];int h = p[4];//show the score of the face. Its range is [0-100]char sScore[256];snprintf(sScore, 256, "%d", confidence);cv::putText(result_image, sScore, cv::Point(x, y - 3), cv::FONT_HERSHEY_SIMPLEX, 0.5, cv::Scalar(0, 255, 0), 1);//draw face rectanglerectangle(result_image, Rect(x, y, w, h), Scalar(0, 255, 0), 2);//draw five face landmarks in different colorscv::circle(result_image, cv::Point(p[5], p[5 + 1]), 1, cv::Scalar(255, 0, 0), 2);cv::circle(result_image, cv::Point(p[5 + 2], p[5 + 3]), 1, cv::Scalar(0, 0, 255), 2);cv::circle(result_image, cv::Point(p[5 + 4], p[5 + 5]), 1, cv::Scalar(0, 255, 0), 2);cv::circle(result_image, cv::Point(p[5 + 6], p[5 + 7]), 1, cv::Scalar(255, 0, 255), 2);cv::circle(result_image, cv::Point(p[5 + 8], p[5 + 9]), 1, cv::Scalar(0, 255, 255), 2);if (confidence == 99)face = result_image(Rect(x, y, w, h));//print the resultprintf("face %d: confidence=%d, [%d, %d, %d, %d] (%d,%d) (%d,%d) (%d,%d) (%d,%d) (%d,%d)\n",i, confidence, x, y, w, h,p[5], p[6], p[7], p[8], p[9], p[10], p[11], p[12], p[13], p[14]);}imshow("result", result_image);if ((cv::waitKey(2) & 0xFF) == 'q')break;}}//release the bufferfree(pBuffer);return 0; }

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