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https://gitcode.com/gh_mirrors/ope/OpenFace.git
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121 lines
4.1 KiB
C++
121 lines
4.1 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 __IMAGE_CAPTURE_h_
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#define __IMAGE_CAPTURE_h_
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// System includes
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#include <fstream>
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#include <sstream>
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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 capturing sequences from video, webcam, and image directories
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*/
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class ImageCapture {
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public:
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// Default constructor
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ImageCapture() {};
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// Opening based on command line arguments
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bool Open(std::vector<std::string>& arguments);
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// Direct opening
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// Image sequence in the directory
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bool OpenDirectory(std::string directory, std::string bbox_directory="", float fx = -1, float fy = -1, float cx = -1, float cy = -1);
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// Video file
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bool OpenImageFiles(const std::vector<std::string>& image_files, float fx = -1, float fy = -1, float cx = -1, float cy = -1);
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// Getting the next frame
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cv::Mat GetNextImage();
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// Getting the most recent grayscale frame (need to call GetNextImage first)
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cv::Mat_<uchar> GetGrayFrame();
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// Return bounding boxes associated with the image (if defined)
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std::vector<cv::Rect_<float> > GetBoundingBoxes();
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// Parameters describing the sequence and it's progress (what's the proportion of images opened)
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double GetProgress();
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int image_width;
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int image_height;
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float fx, fy, cx, cy;
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// Name of the video file, image directory, or the webcam
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std::string name;
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bool has_bounding_boxes;
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private:
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// Blocking copy and move, as it doesn't make sense to have several readers pointed at the same source
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ImageCapture & operator= (const ImageCapture& other);
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ImageCapture & operator= (const ImageCapture&& other);
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ImageCapture(const ImageCapture&& other);
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ImageCapture(const ImageCapture& other);
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// Storing the latest captures
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cv::Mat latest_frame;
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cv::Mat_<uchar> latest_gray_frame;
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// Keeping track of how many files are read and the filenames
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size_t frame_num;
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std::vector<std::string> image_files;
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// Could optionally read the bounding box locations from files (each image could have multiple bounding boxes)
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std::vector<std::vector<cv::Rect_<float> > > bounding_boxes;
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void SetCameraIntrinsics(float fx, float fy, float cx, float cy);
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bool image_focal_length_set;
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bool image_optical_center_set;
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bool no_input_specified;
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};
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}
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#endif |