| /////////////////////////////////////////////////////////////////////////////// | |
| // Copyright (C) 2017, Tadas Baltrusaitis all rights reserved. | |
| // | |
| // ACADEMIC OR NON-PROFIT ORGANIZATION NONCOMMERCIAL RESEARCH USE ONLY | |
| // | |
| // BY USING OR DOWNLOADING THE SOFTWARE, YOU ARE AGREEING TO THE TERMS OF THIS LICENSE AGREEMENT. | |
| // IF YOU DO NOT AGREE WITH THESE TERMS, YOU MAY NOT USE OR DOWNLOAD THE SOFTWARE. | |
| // | |
| // License can be found in OpenFace-license.txt | |
| // | |
| // * Any publications arising from the use of this software, including but | |
| // not limited to academic journal and conference publications, technical | |
| // reports and manuals, must cite at least one of the following works: | |
| // | |
| // OpenFace 2.0: Facial Behavior Analysis Toolkit | |
| // Tadas Baltru�aitis, Amir Zadeh, Yao Chong Lim, and Louis-Philippe Morency | |
| // in IEEE International Conference on Automatic Face and Gesture Recognition, 2018 | |
| // | |
| // Convolutional experts constrained local model for facial landmark detection. | |
| // A. Zadeh, T. Baltru�aitis, and Louis-Philippe Morency, | |
| // in Computer Vision and Pattern Recognition Workshops, 2017. | |
| // | |
| // Rendering of Eyes for Eye-Shape Registration and Gaze Estimation | |
| // Erroll Wood, Tadas Baltru�aitis, Xucong Zhang, Yusuke Sugano, Peter Robinson, and Andreas Bulling | |
| // in IEEE International. Conference on Computer Vision (ICCV), 2015 | |
| // | |
| // Cross-dataset learning and person-specific normalisation for automatic Action Unit detection | |
| // Tadas Baltru�aitis, Marwa Mahmoud, and Peter Robinson | |
| // in Facial Expression Recognition and Analysis Challenge, | |
| // IEEE International Conference on Automatic Face and Gesture Recognition, 2015 | |
| // | |
| /////////////////////////////////////////////////////////////////////////////// | |
| // System includes | |
| // OpenCV includes | |
| namespace Utilities | |
| { | |
| //=========================================================================== | |
| /** | |
| A class for recording CSV file from OpenFace | |
| */ | |
| class RecorderCSV { | |
| public: | |
| // The constructor for the recorder, need to specify if we are recording a sequence or not | |
| RecorderCSV(); | |
| // Opening the file and preparing the header for it | |
| bool Open(std::string output_file_name, bool is_sequence, bool output_2D_landmarks, bool output_3D_landmarks, bool output_model_params, bool output_pose, bool output_AUs, bool output_gaze, | |
| int num_face_landmarks, int num_model_modes, int num_eye_landmarks, const std::vector<std::string>& au_names_class, const std::vector<std::string>& au_names_reg); | |
| bool isOpen() const { return output_file.is_open(); } | |
| // Closing the file and cleaning up | |
| void Close(); | |
| void WriteLine(int face_id, int frame_num, double time_stamp, bool landmark_detection_success, double landmark_confidence, | |
| const cv::Mat_<float>& landmarks_2D, const cv::Mat_<float>& landmarks_3D, const cv::Mat_<float>& pdm_model_params, const cv::Vec6f& rigid_shape_params, cv::Vec6f& pose_estimate, | |
| const cv::Point3f& gazeDirection0, const cv::Point3f& gazeDirection1, const cv::Vec2f& gaze_angle, const std::vector<cv::Point2f>& eye_landmarks2d, const std::vector<cv::Point3f>& eye_landmarks3d, | |
| const std::vector<std::pair<std::string, double> >& au_intensities, const std::vector<std::pair<std::string, double> >& au_occurences); | |
| private: | |
| // Blocking copy and move, as it doesn't make sense to read to write to the same file | |
| RecorderCSV & operator= (const RecorderCSV& other); | |
| RecorderCSV & operator= (const RecorderCSV&& other); | |
| RecorderCSV(const RecorderCSV&& other); | |
| RecorderCSV(const RecorderCSV& other); | |
| // The actual output file stream that will be written | |
| std::ofstream output_file; | |
| // 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 | |
| bool is_sequence; | |
| // Keep track of what we are recording | |
| bool output_2D_landmarks; | |
| bool output_3D_landmarks; | |
| bool output_model_params; | |
| bool output_pose; | |
| bool output_AUs; | |
| bool output_gaze; | |
| std::vector<std::string> au_names_class; | |
| std::vector<std::string> au_names_reg; | |
| }; | |
| } | |