mirror of
https://gitcode.com/gh_mirrors/ope/OpenFace.git
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Change log: Moving to C++17. This means that the code can only be build using C++17 compilers (e.g. g++ >8 and Visual Studio 2017, clang > 5), fixing related bugs - (#698, #629, #641) Removing an explicit dependency on boost (all the filesystem operations are performed using std::filesystem or boost::filesysteme). If boost is available it will used boost:filesystem, otherwise std::filesystem (this requires C++17) Visual Studio 2017 is now the main version for Visual Studio builds, VS 2015 is no longer supported Updating OpenCV to 4.1 version (#511) Fixing a bug with output images when using GUI (#694) Updating RAWImage - #609, so it can be initialized from System.Drawing.Bitmap directly Fixing overlap detection for multi face tracking (#693)
202 lines
5.3 KiB
C++
202 lines
5.3 KiB
C++
///////////////////////////////////////////////////////////////////////////////
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// Copyright (C) 2017, Carnegie Mellon University and University of Cambridge,
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// all rights reserved.
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//
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// ACADEMIC OR NON-PROFIT ORGANIZATION NONCOMMERCIAL RESEARCH USE ONLY
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//
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// BY USING OR DOWNLOADING THE SOFTWARE, YOU ARE AGREEING TO THE TERMS OF THIS LICENSE AGREEMENT.
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// IF YOU DO NOT AGREE WITH THESE TERMS, YOU MAY NOT USE OR DOWNLOAD THE SOFTWARE.
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//
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// License can be found in OpenFace-license.txt
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//
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// * Any publications arising from the use of this software, including but
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// not limited to academic journal and conference publications, technical
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// reports and manuals, must cite at least one of the following works:
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//
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// OpenFace 2.0: Facial Behavior Analysis Toolkit
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// Tadas Baltrušaitis, Amir Zadeh, Yao Chong Lim, and Louis-Philippe Morency
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// in IEEE International Conference on Automatic Face and Gesture Recognition, 2018
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//
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// Convolutional experts constrained local model for facial landmark detection.
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// A. Zadeh, T. Baltrušaitis, and Louis-Philippe Morency,
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// in Computer Vision and Pattern Recognition Workshops, 2017.
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//
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// Rendering of Eyes for Eye-Shape Registration and Gaze Estimation
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// Erroll Wood, Tadas Baltrušaitis, Xucong Zhang, Yusuke Sugano, Peter Robinson, and Andreas Bulling
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// in IEEE International. Conference on Computer Vision (ICCV), 2015
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//
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// Cross-dataset learning and person-specific normalisation for automatic Action Unit detection
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// Tadas Baltrušaitis, Marwa Mahmoud, and Peter Robinson
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// in Facial Expression Recognition and Analysis Challenge,
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// IEEE International Conference on Automatic Face and Gesture Recognition, 2015
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//
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///////////////////////////////////////////////////////////////////////////////
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// Record.cpp : A useful function for quick recording from a webcam for test purposes
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#include <fstream>
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#include <sstream>
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#include <iostream>
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#include <windows.h>
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#include <opencv2/core/core.hpp>
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#include <opencv2/highgui/highgui.hpp>
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#include <stdio.h>
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#include <time.h>
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#include <filesystem>
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#define INFO_STREAM( stream ) \
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std::cout << stream << std::endl
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#define WARN_STREAM( stream ) \
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std::cout << "Warning: " << stream << std::endl
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#define ERROR_STREAM( stream ) \
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std::cout << "Error: " << stream << std::endl
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static void printErrorAndAbort( const std::string & error )
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{
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std::cout << error << std::endl;
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abort();
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}
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#define FATAL_STREAM( stream ) \
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printErrorAndAbort( std::string( "Fatal error: " ) + stream )
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// Get current date/time, format is YYYY-MM-DD.HH:mm:ss
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const std::string currentDateTime() {
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time_t now = time(0);
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struct tm tstruct;
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char buf[80];
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localtime_s(&tstruct, &now);
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// Visit http://www.cplusplus.com/reference/clibrary/ctime/strftime/
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// for more information about date/time format
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strftime(buf, sizeof(buf), "%Y-%m-%d-%H-%M", &tstruct);
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return buf;
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}
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std::vector<std::string> get_arguments(int argc, char **argv)
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{
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std::vector<std::string> arguments;
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for(int i = 1; i < argc; ++i)
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{
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arguments.push_back(std::string(argv[i]));
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}
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return arguments;
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}
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int main (int argc, char **argv)
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{
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std::vector<std::string> arguments = get_arguments(argc, argv);
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// Some initial parameters that can be overriden from command line
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std::string outroot, outfile;
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TCHAR NPath[200];
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GetCurrentDirectory(200, NPath);
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// By default write to same directory
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outroot = NPath;
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outroot = outroot + "/recording/";
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outfile = currentDateTime() + ".avi";
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// By default try webcam
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int device = 0;
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for (size_t i = 0; i < arguments.size(); i++)
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{
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if( strcmp( arguments[i].c_str(), "-dev") == 0 )
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{
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std::stringstream ss;
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ss << arguments[i+1].c_str();
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ss >> device;
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}
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else if (strcmp(arguments[i].c_str(), "-r") == 0)
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{
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outroot = arguments[i+1];
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}
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else if (strcmp(arguments[i].c_str(), "-of") == 0)
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{
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outroot = arguments[i+1];
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}
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else
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{
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WARN_STREAM( "invalid argument" );
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}
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i++;
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}
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// Do some grabbing
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cv::VideoCapture vCap;
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INFO_STREAM( "Attempting to capture from device: " << device );
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vCap = cv::VideoCapture( device );
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if (!vCap.isOpened()) {
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FATAL_STREAM("Failed to open video source");
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return 1;
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}
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cv::Mat img;
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vCap >> img;
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std::filesystem::path dir(outroot);
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std::filesystem::create_directory(dir);
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std::string out_file = outroot + outfile;
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// saving the videos
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cv::VideoWriter video_writer(out_file, cv::VideoWriter::fourcc('D','I','V','X'), 30, img.size(), true);
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std::ofstream outlog;
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outlog.open((outroot + outfile + ".log").c_str(), std::ios_base::out);
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outlog << "frame, time(ms)" << std::endl;
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double freq = cv::getTickFrequency();
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double init_time = (double)cv::getTickCount();
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int frameProc = 0;
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while(!img.empty())
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{
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cv::namedWindow("rec",1);
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vCap >> img;
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double curr_time = (cv::getTickCount() - init_time) / freq;
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curr_time *= 1000;
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video_writer << img;
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outlog << frameProc + 1 << " " << curr_time;
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outlog << std::endl;
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cv::imshow("rec", img);
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frameProc++;
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// detect key presses
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char c = cv::waitKey(1);
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// quit the application
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if(c=='q')
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{
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outlog.close();
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return(0);
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}
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}
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return 0;
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}
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