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* Travis OpenCV4 update, testing Ubuntu with new OpenCV * Fix to Ubuntu travis * Another attempt at OpenCV 4.0 for Ubuntu * And another OpenCV attempt. * Simplifying the travis script * Ubuntu OpenCV 4 support. * Updating to OpenCV 4, for x64 windows. * Fixes to move to OpenCV 4 on windows. * Travis fix for OpenCV 4 on OSX * Renaming a lib. * Travis opencv4 fix. * Building OpenCV4 versions using appveyor. * Attempt mac travis fix. * Small travis fix. * Travis fix attempt. * First iteration in boost removal and upgrade to C++17 * Test with ocv 4.0 * Moving filesystem out of stdafx * Some more boost testing with cmake. * More CMAKE options * More compiler flag changes * Another attempt at compiler options. * Another attempt. * More filesystem stuff. * Linking to filesystem. * Cmake fix with target linking. * Attempting travis with g++-8 * Attempting to setup g++8 on travis linux. * Another travis change. * Adding OpenBLAS to travis and removing g++-8 * Fixing typo * More travis experiments. * More travis debugging. * A small directory change. * Adding some more travis changes. * travis typo fix. * Some reordering of travis, for cleaner yml * Removing `using namespace std` in order to avoid clash with byte and to make the code more consistent. * Working towards removing std::filesystem requirement, allow boost::filesystem as well. * Making boost an optional dependency * Fixing std issue. * Fixing cmake issue. * Fixing the precompiled header issue. * Another cmake boost fix. * Including missing files. * Removing unnecessary includes. * Removing more includes. * Changes to appveyor build, proper removal of VS2015 * If boost is present, do not need to link to filesystem. * Removing un-needed link library. * oops * Mac attempt at opencv4 travis. * Upgrading OCV to 4.1 on VS2018 * Downloading OpenCV binaries through a script * Triger an appveyor build. * Upgrading VS version. * Attempting VS2017 build * Adding win-32 libraries for OpenCV 4.1 * Adding OpenCV 32 bit libraries.
118 lines
4.7 KiB
C++
118 lines
4.7 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 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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// Parameters of the Face analyser
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#ifndef RECORDER_OPENFACE_PARAM_H
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#define RECORDER_OPENFACE_PARAM_H
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#include <vector>
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#include <opencv2/core/core.hpp>
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namespace Utilities
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{
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class RecorderOpenFaceParameters
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{
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public:
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// Constructors
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RecorderOpenFaceParameters(std::vector<std::string> &arguments, bool sequence, bool is_from_webcam, float fx = -1, float fy = -1, float cx = -1, float cy = -1, double fps_vid_out = 30);
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RecorderOpenFaceParameters(bool sequence, bool is_from_webcam, bool output_2D_landmarks, bool output_3D_landmarks,
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bool output_model_params, bool output_pose, bool output_AUs, bool output_gaze, bool output_hog, bool output_tracked,
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bool output_aligned_faces, bool record_bad = true, float fx = -1, float fy = -1, float cx = -1, float cy = -1, double fps_vid_out = 30);
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bool isSequence() const { return is_sequence; }
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bool isFromWebcam() const { return is_from_webcam; }
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bool output2DLandmarks() const { return output_2D_landmarks; }
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bool output3DLandmarks() const { return output_3D_landmarks; }
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bool outputPDMParams() const { return output_model_params; }
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bool outputPose() const { return output_pose; }
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bool outputAUs() const { return output_AUs; }
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bool outputGaze() const { return output_gaze; }
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bool outputHOG() const { return output_hog; }
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bool outputTracked() const { return output_tracked; }
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bool outputAlignedFaces() const { return output_aligned_faces; }
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std::string outputCodec() const { return output_codec; }
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std::string imageFormatAligned() const { return image_format_aligned; }
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std::string imageFormatVisualization() const { return image_format_visualization; }
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double outputFps() const { return fps_vid_out; }
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bool outputBadAligned() const { return record_aligned_bad; }
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float getFx() const { return fx; }
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float getFy() const { return fy; }
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float getCx() const { return cx; }
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float getCy() const { return cy; }
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void setOutputAUs(bool output_AUs) { this->output_AUs = output_AUs; }
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void setOutputGaze(bool output_gaze) { this->output_gaze = output_gaze; }
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private:
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// If we are recording results from a sequence each row refers to a frame, if we are recording an image each row is a face
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bool is_sequence;
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// If the data is coming from a webcam
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bool is_from_webcam;
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// Keep track of what we are recording
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bool output_2D_landmarks;
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bool output_3D_landmarks;
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bool output_model_params;
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bool output_pose;
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bool output_AUs;
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bool output_gaze;
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bool output_hog;
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bool output_tracked;
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bool output_aligned_faces;
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// Should the algined faces be recorded even if the detection failed (blank images)
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bool record_aligned_bad;
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// Some video recording parameters
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std::string output_codec;
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double fps_vid_out;
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// Image recording parameters
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std::string image_format_aligned;
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std::string image_format_visualization;
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// Camera parameters for recording in the meta file;
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float fx, fy, cx, cy;
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};
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}
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#endif // RECORDER_OPENFACE_PARAM_H
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