95 lines
3.2 KiB
C++
95 lines
3.2 KiB
C++
///////////////////////////////////////////////////////////////////////////////
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// Copyright (C) 2017, Tadas Baltrusaitis, 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: an open source facial behavior analysis toolkit
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// Tadas Baltrušaitis, Peter Robinson, and Louis-Philippe Morency
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// in IEEE Winter Conference on Applications of Computer Vision, 2016
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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-speci?c 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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// Constrained Local Neural Fields for robust facial landmark detection in the wild.
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// Tadas Baltrušaitis, Peter Robinson, and Louis-Philippe Morency.
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// in IEEE Int. Conference on Computer Vision Workshops, 300 Faces in-the-Wild Challenge, 2013.
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//
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///////////////////////////////////////////////////////////////////////////////
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#include "RecorderHOG.h"
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#include <fstream>
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using namespace Utilities;
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// Default constructor initializes the variables
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RecorderHOG::RecorderHOG() :hog_file() {};
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// Opening the file and preparing the header for it
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bool RecorderHOG::Open(std::string output_file_name)
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{
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hog_file.open(output_file_name, std::ios_base::out | std::ios_base::binary);
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return hog_file.is_open();
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}
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void RecorderHOG::Close()
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{
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hog_file.close();
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}
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void RecorderHOG::Write()
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{
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hog_file.write((char*)(&num_cols), 4);
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hog_file.write((char*)(&num_rows), 4);
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hog_file.write((char*)(&num_channels), 4);
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// Not the best way to store a bool, but will be much easier to read it
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float good_frame_float;
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if (good_frame)
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good_frame_float = 1;
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else
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good_frame_float = -1;
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hog_file.write((char*)(&good_frame_float), 4);
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cv::MatConstIterator_<double> descriptor_it = hog_descriptor.begin();
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for (int y = 0; y < num_cols; ++y)
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{
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for (int x = 0; x < num_rows; ++x)
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{
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for (unsigned int o = 0; o < 31; ++o)
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{
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float hog_data = (float)(*descriptor_it++);
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hog_file.write((char*)&hog_data, 4);
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}
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}
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}
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}
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// Writing to a HOG file
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void RecorderHOG::SetObservationHOG(bool good_frame, const cv::Mat_<double>& hog_descriptor, int num_cols, int num_rows, int num_channels)
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{
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this->num_cols = num_cols;
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this->num_rows = num_rows;
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this->num_channels = num_channels;
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this->hog_descriptor = hog_descriptor;
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this->good_frame = good_frame;
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} |