open source pkg v1

2020-08-04 19:12:31 -04:00
parent bef213dba9
commit c389fc2c47
3708 changed files with 1624220 additions and 1 deletions
--- a/pkg/OpenFace/exe/FaceLandmarkImg/CMakeLists.txt
+++ b/pkg/OpenFace/exe/FaceLandmarkImg/CMakeLists.txt
@@ -0,0 +1,10 @@
+# Local libraries
+include_directories(${LandmarkDetector_SOURCE_DIR}/include)
+	
+add_executable(FaceLandmarkImg FaceLandmarkImg.cpp)
+target_link_libraries(FaceLandmarkImg LandmarkDetector)
+target_link_libraries(FaceLandmarkImg FaceAnalyser)
+target_link_libraries(FaceLandmarkImg GazeAnalyser)
+target_link_libraries(FaceLandmarkImg Utilities)
+
+install (TARGETS FaceLandmarkImg DESTINATION bin)
--- a/pkg/OpenFace/exe/FaceLandmarkImg/FaceLandmarkImg.cpp
+++ b/pkg/OpenFace/exe/FaceLandmarkImg/FaceLandmarkImg.cpp
@@ -0,0 +1,255 @@
+///////////////////////////////////////////////////////////////////////////////
+// Copyright (C) 2017, Carnegie Mellon University and University of Cambridge,
+// 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 Baltrušaitis, 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. Baltrušaitis, 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 Baltrušaitis, 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 Baltrušaitis, Marwa Mahmoud, and Peter Robinson 
+//       in Facial Expression Recognition and Analysis Challenge, 
+//       IEEE International Conference on Automatic Face and Gesture Recognition, 2015 
+//
+///////////////////////////////////////////////////////////////////////////////
+// FaceLandmarkImg.cpp : Defines the entry point for the console application for detecting landmarks in images.
+
+// dlib
+#include <dlib/image_processing/frontal_face_detector.h>
+
+#include "LandmarkCoreIncludes.h"
+
+#include <FaceAnalyser.h>
+#include <GazeEstimation.h>
+
+#include <ImageCapture.h>
+#include <Visualizer.h>
+#include <VisualizationUtils.h>
+#include <RecorderOpenFace.h>
+#include <RecorderOpenFaceParameters.h>
+
+
+#ifndef CONFIG_DIR
+#define CONFIG_DIR "~"
+#endif
+
+std::vector<std::string> get_arguments(int argc, char **argv)
+{
+
+	std::vector<std::string> arguments;
+
+	for (int i = 0; i < argc; ++i)
+	{
+		arguments.push_back(std::string(argv[i]));
+	}
+	return arguments;
+}
+
+int main(int argc, char **argv)
+{
+
+	//Convert arguments to more convenient vector form
+	std::vector<std::string> arguments = get_arguments(argc, argv);
+
+	// no arguments: output usage
+	if (arguments.size() == 1)
+	{
+		std::cout << "For command line arguments see:" << std::endl;
+		std::cout << " https://github.com/TadasBaltrusaitis/OpenFace/wiki/Command-line-arguments";
+		return 0;
+	}
+
+	// Prepare for image reading
+	Utilities::ImageCapture image_reader;
+
+	// The sequence reader chooses what to open based on command line arguments provided
+	if (!image_reader.Open(arguments))
+	{
+		std::cout << "Could not open any images" << std::endl;
+		return 1;
+	}
+
+	// Load the models if images found
+	LandmarkDetector::FaceModelParameters det_parameters(arguments);
+
+	// The modules that are being used for tracking
+	std::cout << "Loading the model" << std::endl;
+	LandmarkDetector::CLNF face_model(det_parameters.model_location);
+
+	if (!face_model.loaded_successfully)
+	{
+		std::cout << "ERROR: Could not load the landmark detector" << std::endl;
+		return 1;
+	}
+
+	std::cout << "Model loaded" << std::endl;
+
+	// Load facial feature extractor and AU analyser (make sure it is static)
+	FaceAnalysis::FaceAnalyserParameters face_analysis_params(arguments);
+	face_analysis_params.OptimizeForImages();
+	FaceAnalysis::FaceAnalyser face_analyser(face_analysis_params);
+
+	// If bounding boxes not provided, use a face detector
+	cv::CascadeClassifier classifier(det_parameters.haar_face_detector_location);
+	dlib::frontal_face_detector face_detector_hog = dlib::get_frontal_face_detector();
+	LandmarkDetector::FaceDetectorMTCNN face_detector_mtcnn(det_parameters.mtcnn_face_detector_location);
+
+	// If can't find MTCNN face detector, default to HOG one
+	if (det_parameters.curr_face_detector == LandmarkDetector::FaceModelParameters::MTCNN_DETECTOR && face_detector_mtcnn.empty())
+	{
+		std::cout << "INFO: defaulting to HOG-SVM face detector" << std::endl;
+		det_parameters.curr_face_detector = LandmarkDetector::FaceModelParameters::HOG_SVM_DETECTOR;
+	}
+
+	// A utility for visualizing the results
+	Utilities::Visualizer visualizer(arguments);
+
+	cv::Mat rgb_image;
+
+	rgb_image = image_reader.GetNextImage();
+	
+	if (!face_model.eye_model)
+	{
+		std::cout << "WARNING: no eye model found" << std::endl;
+	}
+
+	if (face_analyser.GetAUClassNames().size() == 0 && face_analyser.GetAUClassNames().size() == 0)
+	{
+		std::cout << "WARNING: no Action Unit models found" << std::endl;
+	}
+
+	std::cout << "Starting tracking" << std::endl;
+	while (!rgb_image.empty())
+	{
+	
+		Utilities::RecorderOpenFaceParameters recording_params(arguments, false, false,
+			image_reader.fx, image_reader.fy, image_reader.cx, image_reader.cy);
+
+		if (!face_model.eye_model)
+		{
+			recording_params.setOutputGaze(false);
+		}
+		Utilities::RecorderOpenFace open_face_rec(image_reader.name, recording_params, arguments);
+
+		visualizer.SetImage(rgb_image, image_reader.fx, image_reader.fy, image_reader.cx, image_reader.cy);
+
+		// Making sure the image is in uchar grayscale (some face detectors use RGB, landmark detector uses grayscale)
+		cv::Mat_<uchar> grayscale_image = image_reader.GetGrayFrame();
+
+		// Detect faces in an image
+		std::vector<cv::Rect_<float> > face_detections;
+
+		if (image_reader.has_bounding_boxes)
+		{
+			face_detections = image_reader.GetBoundingBoxes();
+		}
+		else
+		{
+			if (det_parameters.curr_face_detector == LandmarkDetector::FaceModelParameters::HOG_SVM_DETECTOR)
+			{
+				std::vector<float> confidences;
+				LandmarkDetector::DetectFacesHOG(face_detections, grayscale_image, face_detector_hog, confidences);
+			}
+			else if (det_parameters.curr_face_detector == LandmarkDetector::FaceModelParameters::HAAR_DETECTOR)
+			{
+				LandmarkDetector::DetectFaces(face_detections, grayscale_image, classifier);
+			}
+			else
+			{
+				std::vector<float> confidences;
+				LandmarkDetector::DetectFacesMTCNN(face_detections, rgb_image, face_detector_mtcnn, confidences);
+			}
+		}
+
+		// Detect landmarks around detected faces
+		int face_det = 0;
+		// perform landmark detection for every face detected
+		for (size_t face = 0; face < face_detections.size(); ++face)
+		{
+
+			// if there are multiple detections go through them
+			bool success = LandmarkDetector::DetectLandmarksInImage(rgb_image, face_detections[face], face_model, det_parameters, grayscale_image);
+
+			// Estimate head pose and eye gaze				
+			cv::Vec6d pose_estimate = LandmarkDetector::GetPose(face_model, image_reader.fx, image_reader.fy, image_reader.cx, image_reader.cy);
+
+			// Gaze tracking, absolute gaze direction
+			cv::Point3f gaze_direction0(0, 0, -1);
+			cv::Point3f gaze_direction1(0, 0, -1);
+			cv::Vec2f gaze_angle(0, 0);
+
+			if (face_model.eye_model)
+			{
+				GazeAnalysis::EstimateGaze(face_model, gaze_direction0, image_reader.fx, image_reader.fy, image_reader.cx, image_reader.cy, true);
+				GazeAnalysis::EstimateGaze(face_model, gaze_direction1, image_reader.fx, image_reader.fy, image_reader.cx, image_reader.cy, false);
+				gaze_angle = GazeAnalysis::GetGazeAngle(gaze_direction0, gaze_direction1);
+			}
+
+			cv::Mat sim_warped_img;
+			cv::Mat_<double> hog_descriptor; int num_hog_rows = 0, num_hog_cols = 0;
+
+			// Perform AU detection and HOG feature extraction, as this can be expensive only compute it if needed by output or visualization
+			if (recording_params.outputAlignedFaces() || recording_params.outputHOG() || recording_params.outputAUs() || visualizer.vis_align || visualizer.vis_hog)
+			{
+				face_analyser.PredictStaticAUsAndComputeFeatures(rgb_image, face_model.detected_landmarks);
+				face_analyser.GetLatestAlignedFace(sim_warped_img);
+				face_analyser.GetLatestHOG(hog_descriptor, num_hog_rows, num_hog_cols);
+			}
+
+			// Displaying the tracking visualizations
+			visualizer.SetObservationFaceAlign(sim_warped_img);
+			visualizer.SetObservationHOG(hog_descriptor, num_hog_rows, num_hog_cols);
+			visualizer.SetObservationLandmarks(face_model.detected_landmarks, 1.0, face_model.GetVisibilities()); // Set confidence to high to make sure we always visualize
+			visualizer.SetObservationPose(pose_estimate, 1.0);
+			visualizer.SetObservationGaze(gaze_direction0, gaze_direction1, LandmarkDetector::CalculateAllEyeLandmarks(face_model), LandmarkDetector::Calculate3DEyeLandmarks(face_model, image_reader.fx, image_reader.fy, image_reader.cx, image_reader.cy), face_model.detection_certainty);
+			visualizer.SetObservationActionUnits(face_analyser.GetCurrentAUsReg(), face_analyser.GetCurrentAUsClass());
+
+			// Setting up the recorder output
+			open_face_rec.SetObservationHOG(face_model.detection_success, hog_descriptor, num_hog_rows, num_hog_cols, 31); // The number of channels in HOG is fixed at the moment, as using FHOG
+			open_face_rec.SetObservationActionUnits(face_analyser.GetCurrentAUsReg(), face_analyser.GetCurrentAUsClass());
+			open_face_rec.SetObservationLandmarks(face_model.detected_landmarks, face_model.GetShape(image_reader.fx, image_reader.fy, image_reader.cx, image_reader.cy),
+				face_model.params_global, face_model.params_local, face_model.detection_certainty, face_model.detection_success);
+			open_face_rec.SetObservationPose(pose_estimate);
+			open_face_rec.SetObservationGaze(gaze_direction0, gaze_direction1, gaze_angle, LandmarkDetector::CalculateAllEyeLandmarks(face_model), LandmarkDetector::Calculate3DEyeLandmarks(face_model, image_reader.fx, image_reader.fy, image_reader.cx, image_reader.cy));
+			open_face_rec.SetObservationFaceAlign(sim_warped_img);
+			open_face_rec.SetObservationFaceID(face);
+			open_face_rec.WriteObservation();
+
+		}
+		if (face_detections.size() > 0)
+		{
+			visualizer.ShowObservation();
+		}
+
+		open_face_rec.SetObservationVisualization(visualizer.GetVisImage());
+		open_face_rec.WriteObservationTracked();
+
+		open_face_rec.Close();
+
+		// Grabbing the next frame in the sequence
+		rgb_image = image_reader.GetNextImage();
+
+	}
+
+	return 0;
+}
+
--- a/pkg/OpenFace/exe/FaceLandmarkImg/FaceLandmarkImg.vcxproj
+++ b/pkg/OpenFace/exe/FaceLandmarkImg/FaceLandmarkImg.vcxproj
@@ -0,0 +1,201 @@
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--- a/pkg/OpenFace/exe/FaceLandmarkImg/FaceLandmarkImg.vcxproj.user
+++ b/pkg/OpenFace/exe/FaceLandmarkImg/FaceLandmarkImg.vcxproj.user
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