mirror of
https://gitcode.com/gh_mirrors/ope/OpenFace.git
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be9b57703c
- Removed duplicated code and some C++ warnings - Fixing snapshot function in HeadPoseLive (test on PC) - C++ code cleanup (https://github.com/TadasBaltrusaitis/OpenFace/issues/533, https://github.com/TadasBaltrusaitis/OpenFace/issues/534) - Adding a Visual Studio 2017 solution file - Moving to C++ OpenCV convention (thanks @taoyudong) - Storing models in additional locations (see wiki and scripts) https://github.com/TadasBaltrusaitis/OpenFace/issues/553
112 lines
4.2 KiB
C++
112 lines
4.2 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 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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#ifndef VISUALIZER_H
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#define VISUALIZER_H
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// System includes
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#include <vector>
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// OpenCV includes
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#include <opencv2/core/core.hpp>
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#include <opencv2/highgui/highgui.hpp>
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namespace Utilities
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{
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//===========================================================================
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/**
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A class for recording data processed by OpenFace (facial landmarks, head pose, facial action units, aligned face, HOG features, and tracked video
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*/
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class Visualizer {
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public:
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// The constructor for the visualizer that specifies what to visualize
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Visualizer(std::vector<std::string> arguments);
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Visualizer(bool vis_track, bool vis_hog, bool vis_align, bool vis_aus);
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// Adding observations to the visualizer
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// Pose related observations
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void SetImage(const cv::Mat& canvas, float fx, float fy, float cx, float cy);
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// All observations relevant to facial landmarks (optional visibilities parameter to not display all landmarks)
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void SetObservationLandmarks(const cv::Mat_<float>& landmarks_2D, double confidence, const cv::Mat_<int>& visibilities = cv::Mat_<int>());
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// Pose related observations
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void SetObservationPose(const cv::Vec6f& pose, double confidence);
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void SetObservationActionUnits(const std::vector<std::pair<std::string, double> >& au_intensities, const std::vector<std::pair<std::string, double> >& au_occurences);
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// Gaze related observations
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void SetObservationGaze(const cv::Point3f& gazeDirection0, const cv::Point3f& gazeDirection1, const std::vector<cv::Point2f>& eye_landmarks, const std::vector<cv::Point3f>& eye_landmarks3d, double confidence);
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// Face alignment related observations
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void SetObservationFaceAlign(const cv::Mat& aligned_face);
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// HOG feature related observations
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void SetObservationHOG(const cv::Mat_<double>& hog_descriptor, int num_cols, int num_rows);
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void SetFps(double fps);
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// Return key-press that could have resulted in the open windows
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char ShowObservation();
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cv::Mat GetVisImage();
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cv::Mat GetHOGVis();
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// Keeping track of what we're visualizing
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bool vis_track;
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bool vis_hog;
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bool vis_align;
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bool vis_aus;
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// Can be adjusted to show less confident frames
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double visualisation_boundary = 0.4;
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private:
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// Temporary variables for visualization
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cv::Mat captured_image; // out canvas
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cv::Mat tracked_image;
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cv::Mat hog_image;
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cv::Mat aligned_face_image;
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cv::Mat action_units_image;
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// Useful for drawing 3d
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float fx, fy, cx, cy;
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};
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}
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#endif |