Have FaceLandmarkVidMulti output (only) to JSON on stdout
This commit is contained in:
Ruben van de Ven
parent
92770ee156
commit
0dd61f148a
3 changed files with 110 additions and 58 deletions
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@ -4,7 +4,7 @@
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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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// 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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@ -14,21 +14,21 @@
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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: an open source facial behavior analysis toolkit
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// Tadas Baltrušaitis, Peter Robinson, and Louis-Philippe Morency
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// in IEEE Winter Conference on Applications of Computer Vision, 2016
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// Tadas Baltru<EFBFBD>aitis, Peter Robinson, and Louis-Philippe Morency
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// in IEEE Winter Conference on Applications of Computer Vision, 2016
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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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// Erroll Wood, Tadas Baltru<EFBFBD>aitis, 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-speci?c 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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// Tadas Baltru<EFBFBD>aitis, 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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// Constrained Local Neural Fields for robust facial landmark detection in the wild.
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// Tadas Baltrušaitis, Peter Robinson, and Louis-Philippe Morency.
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// in IEEE Int. Conference on Computer Vision Workshops, 300 Faces in-the-Wild Challenge, 2013.
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// Tadas Baltru<EFBFBD>aitis, Peter Robinson, and Louis-Philippe Morency.
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// in IEEE Int. Conference on Computer Vision Workshops, 300 Faces in-the-Wild Challenge, 2013.
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//
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///////////////////////////////////////////////////////////////////////////////
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@ -94,7 +94,7 @@ void NonOverlapingDetections(const vector<LandmarkDetector::CLNF>& clnf_models,
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// See if the detections intersect
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cv::Rect_<double> model_rect = clnf_models[model].GetBoundingBox();
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for(int detection = face_detections.size()-1; detection >=0; --detection)
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{
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double intersection_area = (model_rect & face_detections[detection]).area();
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@ -130,17 +130,17 @@ int main (int argc, char **argv)
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vector<LandmarkDetector::FaceModelParameters> det_parameters;
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det_parameters.push_back(det_params);
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// The modules that are being used for tracking
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vector<LandmarkDetector::CLNF> face_models;
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vector<bool> active_models;
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int num_faces_max = 4;
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int num_faces_max = 15;
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LandmarkDetector::CLNF face_model(det_parameters[0].model_location);
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face_model.face_detector_HAAR.load(det_parameters[0].face_detector_location);
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face_model.face_detector_location = det_parameters[0].face_detector_location;
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face_models.reserve(num_faces_max);
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face_models.push_back(face_model);
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@ -152,7 +152,7 @@ int main (int argc, char **argv)
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active_models.push_back(false);
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det_parameters.push_back(det_params);
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}
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// Load facial feature extractor and AU analyser (make sure it is static, as we don't reidentify faces)
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FaceAnalysis::FaceAnalyserParameters face_analysis_params(arguments);
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face_analysis_params.OptimizeForImages();
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@ -195,10 +195,16 @@ int main (int argc, char **argv)
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Utilities::RecorderOpenFaceParameters recording_params(arguments, true, sequence_reader.IsWebcam(),
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sequence_reader.fx, sequence_reader.fy, sequence_reader.cx, sequence_reader.cy, sequence_reader.fps);
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// for some reason not accepted as cli parameter, as we don't need it: disable it anyway
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recording_params.setOutputAUs(false);
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recording_params.setOutputHOG(false);
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recording_params.setOutputAlignedFaces(false);
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recording_params.setOutputTracked(false);
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if (!face_model.eye_model)
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{
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recording_params.setOutputGaze(false);
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}
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}
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Utilities::RecorderOpenFace open_face_rec(sequence_reader.name, recording_params, arguments);
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@ -217,11 +223,11 @@ int main (int argc, char **argv)
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INFO_STREAM( "Starting tracking");
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while(!captured_image.empty())
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{
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{
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// Reading the images
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cv::Mat_<uchar> grayscale_image = sequence_reader.GetGrayFrame();
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vector<cv::Rect_<double> > face_detections;
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bool all_models_active = true;
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@ -232,10 +238,10 @@ int main (int argc, char **argv)
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all_models_active = false;
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}
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}
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// Get the detections (every 8th frame and when there are free models available for tracking)
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if(frame_count % 8 == 0 && !all_models_active)
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{
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{
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if(det_parameters[0].curr_face_detector == LandmarkDetector::FaceModelParameters::HOG_SVM_DETECTOR)
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{
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vector<double> confidences;
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@ -262,7 +268,7 @@ int main (int argc, char **argv)
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// If the current model has failed more than 4 times in a row, remove it
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if(face_models[model].failures_in_a_row > 4)
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{
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{
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active_models[model] = false;
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face_models[model].Reset();
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}
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@ -270,13 +276,13 @@ int main (int argc, char **argv)
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// If the model is inactive reactivate it with new detections
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if(!active_models[model])
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{
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for(size_t detection_ind = 0; detection_ind < face_detections.size(); ++detection_ind)
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{
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// if it was not taken by another tracker take it (if it is false swap it to true and enter detection, this makes it parallel safe)
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if(face_detections_used[detection_ind].compare_and_swap(true, false) == false)
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{
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// Reinitialise the model
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face_models[model].Reset();
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@ -299,12 +305,15 @@ int main (int argc, char **argv)
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detection_success = LandmarkDetector::DetectLandmarksInVideo(grayscale_image, face_models[model], det_parameters[model]);
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}
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});
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// Keeping track of FPS
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fps_tracker.AddFrame();
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visualizer.SetImage(captured_image, sequence_reader.fx, sequence_reader.fy, sequence_reader.cx, sequence_reader.cy);
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std::stringstream jsonOutput;
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jsonOutput << "[";
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int jsonFaceId = 0;
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// Go through every model and detect eye gaze, record results and visualise the results
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for(size_t model = 0; model < face_models.size(); ++model)
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{
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@ -312,7 +321,7 @@ int main (int argc, char **argv)
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if(active_models[model])
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{
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// Estimate head pose and eye gaze
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// Estimate head pose and eye gaze
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cv::Vec6d pose_estimate = LandmarkDetector::GetPose(face_models[model], sequence_reader.fx, sequence_reader.fy, sequence_reader.cx, sequence_reader.cy);
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cv::Point3f gaze_direction0(0, 0, 0); cv::Point3f gaze_direction1(0, 0, 0); cv::Vec2d gaze_angle(0, 0);
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@ -337,14 +346,30 @@ int main (int argc, char **argv)
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face_analyser.GetLatestHOG(hog_descriptor, num_hog_rows, num_hog_cols);
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}
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cv::Vec6d head_pose = LandmarkDetector::GetPose(face_models[model], sequence_reader.fx, sequence_reader.fy, sequence_reader.cx, sequence_reader.cy);
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// Visualize the features
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visualizer.SetObservationFaceAlign(sim_warped_img);
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visualizer.SetObservationHOG(hog_descriptor, num_hog_rows, num_hog_cols);
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visualizer.SetObservationLandmarks(face_models[model].detected_landmarks, face_models[model].detection_certainty);
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visualizer.SetObservationPose(LandmarkDetector::GetPose(face_models[model], sequence_reader.fx, sequence_reader.fy, sequence_reader.cx, sequence_reader.cy), face_models[model].detection_certainty);
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visualizer.SetObservationPose(head_pose, face_models[model].detection_certainty);
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visualizer.SetObservationGaze(gaze_direction0, gaze_direction1, LandmarkDetector::CalculateAllEyeLandmarks(face_models[model]), LandmarkDetector::Calculate3DEyeLandmarks(face_models[model], sequence_reader.fx, sequence_reader.fy, sequence_reader.cx, sequence_reader.cy), face_models[model].detection_certainty);
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visualizer.SetObservationActionUnits(face_analyser.GetCurrentAUsReg(), face_analyser.GetCurrentAUsClass());
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if(face_models[model].detection_success && face_model.eye_model) {
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if(jsonFaceId > 0){
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jsonOutput << ",";
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}
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jsonFaceId++;
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jsonOutput << "{\"fid\":";
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jsonOutput << model << ", \"confidence\":" << face_models[model].detection_certainty;
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// gaze_angle_x, gaze_angle_y Eye gaze direction in radians in world coordinates averaged for both eyes and converted into more easy to use format than gaze vectors. If a person is looking left-right this will results in the change of gaze_angle_x and, if a person is looking up-down this will result in change of gaze_angle_y, if a person is looking straight ahead both of the angles will be close to 0 (within measurement error)
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jsonOutput << ", \"gaze_angle\": [" << gaze_angle[0] << ", " << gaze_angle[1] << "]";
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jsonOutput << ", head_pos: [" << head_pose[0] << ", " << head_pose[1] << ", " << head_pose[2] << "]";
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jsonOutput << ", head_rot: [" << head_pose[3] << ", " << head_pose[4] << ", " << head_pose[5] << "]";
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jsonOutput << "}";
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}
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// Output features
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open_face_rec.SetObservationHOG(face_models[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
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open_face_rec.SetObservationVisualization(visualizer.GetVisImage());
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@ -364,9 +389,12 @@ int main (int argc, char **argv)
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}
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visualizer.SetFps(fps_tracker.GetFPS());
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jsonOutput << "]";
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std::cout << jsonOutput.str() << std::endl;
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// show visualization and detect key presses
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char character_press = visualizer.ShowObservation();
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// restart the trackers
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if(character_press == 'r')
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{
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@ -389,7 +417,7 @@ int main (int argc, char **argv)
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captured_image = sequence_reader.GetNextFrame();
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}
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frame_count = 0;
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// Reset the model, for the next video
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@ -405,4 +433,3 @@ int main (int argc, char **argv)
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return 0;
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}
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@ -3,7 +3,7 @@
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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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// 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.
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//
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// License can be found in OpenFace-license.txt
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@ -13,21 +13,21 @@
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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: an open source facial behavior analysis toolkit
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// Tadas Baltrušaitis, Peter Robinson, and Louis-Philippe Morency
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// in IEEE Winter Conference on Applications of Computer Vision, 2016
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// Tadas Baltru<EFBFBD>aitis, Peter Robinson, and Louis-Philippe Morency
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// in IEEE Winter Conference on Applications of Computer Vision, 2016
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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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// Erroll Wood, Tadas Baltru<EFBFBD>aitis, 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-speci?c 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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// Tadas Baltru<EFBFBD>aitis, 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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// Constrained Local Neural Fields for robust facial landmark detection in the wild.
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// Tadas Baltrušaitis, Peter Robinson, and Louis-Philippe Morency.
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// in IEEE Int. Conference on Computer Vision Workshops, 300 Faces in-the-Wild Challenge, 2013.
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// Tadas Baltru<EFBFBD>aitis, Peter Robinson, and Louis-Philippe Morency.
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// in IEEE Int. Conference on Computer Vision Workshops, 300 Faces in-the-Wild Challenge, 2013.
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//
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///////////////////////////////////////////////////////////////////////////////
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@ -79,9 +79,12 @@ namespace Utilities
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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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void setOutputHOG(bool output_HOG) { this->output_hog = output_HOG; }
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void setOutputAlignedFaces(bool output_aligned_faces) { this->output_aligned_faces = output_aligned_faces; }
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void setOutputTracked(bool output_tracked) { this->output_tracked = output_tracked; }
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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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@ -97,7 +100,7 @@ namespace Utilities
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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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// Some video recording parameters
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std::string output_codec;
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double fps_vid_out;
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@ -3,7 +3,7 @@
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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.
|
||||
// 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.
|
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//
|
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// License can be found in OpenFace-license.txt
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@ -13,21 +13,21 @@
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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: an open source facial behavior analysis toolkit
|
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// Tadas Baltrušaitis, Peter Robinson, and Louis-Philippe Morency
|
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// in IEEE Winter Conference on Applications of Computer Vision, 2016
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// Tadas Baltru<EFBFBD>aitis, Peter Robinson, and Louis-Philippe Morency
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// in IEEE Winter Conference on Applications of Computer Vision, 2016
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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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// Erroll Wood, Tadas Baltru<EFBFBD>aitis, 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-speci?c 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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// Tadas Baltru<EFBFBD>aitis, 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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// Constrained Local Neural Fields for robust facial landmark detection in the wild.
|
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// Tadas Baltrušaitis, Peter Robinson, and Louis-Philippe Morency.
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// in IEEE Int. Conference on Computer Vision Workshops, 300 Faces in-the-Wild Challenge, 2013.
|
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// Tadas Baltru<EFBFBD>aitis, Peter Robinson, and Louis-Philippe Morency.
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// in IEEE Int. Conference on Computer Vision Workshops, 300 Faces in-the-Wild Challenge, 2013.
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//
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///////////////////////////////////////////////////////////////////////////////
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@ -126,7 +126,7 @@ void RecorderOpenFace::PrepareRecording(const std::string& in_filename)
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hog_recorder.Open(hog_filename);
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}
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// saving the videos
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// saving the videos
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if (params.outputTracked())
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{
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if (params.isSequence())
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@ -275,8 +275,7 @@ void RecorderOpenFace::SetObservationVisualization(const cv::Mat &vis_track)
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void RecorderOpenFace::WriteObservation()
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{
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// Write out the CSV file (it will always be there, even if not outputting anything more but frame/face numbers)
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// Write out the CSV file (it will always be there, even if not outputting anything more but frame/face numbers)
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if(!csv_recorder.isOpen())
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{
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// As we are writing out the header, work out some things like number of landmarks, names of AUs etc.
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@ -312,8 +311,34 @@ void RecorderOpenFace::WriteObservation()
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csv_recorder.Open(csv_filename, params.isSequence(), params.output2DLandmarks(), params.output3DLandmarks(), params.outputPDMParams(), params.outputPose(),
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params.outputAUs(), params.outputGaze(), num_face_landmarks, num_model_modes, num_eye_landmarks, au_names_class, au_names_reg);
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}
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//
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// if(landmark_detection_success){
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//
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// std::cout << "{\"fid\":";
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// std::cout << face_id << ", \"confidence\":" << landmark_detection_confidence;
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// //
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// // std::cout << ", \"gaze_directions\": [[" << gaze_direction0.x << ", " << gaze_direction0.y << ", " << gaze_direction0.z << "]"
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// // << ", [" << gaze_direction1.x << ", " << gaze_direction1.y << ", " << gaze_direction1.z << "]]";
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//
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// // gaze_angle_x, gaze_angle_y Eye gaze direction in radians in world coordinates averaged for both eyes and converted into more easy to use format than gaze vectors. If a person is looking left-right this will results in the change of gaze_angle_x and, if a person is looking up-down this will result in change of gaze_angle_y, if a person is looking straight ahead both of the angles will be close to 0 (within measurement error)
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// std::cout << ", \"gaze_angle\": [" << gaze_angle[0] << ", " << gaze_angle[1] << "]";
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// //
|
||||
// // std::cout << ",\"eye_lmk3d\"[[]";
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||||
// // // Output the 3D eye landmarks
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||||
// // for (auto eye_lmk : eye_landmarks3D)
|
||||
// // {
|
||||
// // std::cout << ", [" << eye_lmk.x << "," << eye_lmk.y << "," << eye_lmk.z << "]";
|
||||
// // }
|
||||
// // std::cout << "]";
|
||||
//
|
||||
// std::cout << ", position: [" << head_pose[0] << ", " << head_pose[1] << ", " << head_pose[2] << "]";
|
||||
// // rotation:
|
||||
// // std::cout << ", " << pose_estimate[3] << ", " << pose_estimate[4] << ", " << pose_estimate[5];
|
||||
//
|
||||
// std::cout << "}" << std::endl;
|
||||
// }
|
||||
|
||||
this->csv_recorder.WriteLine(face_id, frame_number, timestamp, landmark_detection_success,
|
||||
this->csv_recorder.WriteLine(face_id, frame_number, timestamp, landmark_detection_success,
|
||||
landmark_detection_confidence, landmarks_2D, landmarks_3D, pdm_params_local, pdm_params_global, head_pose,
|
||||
gaze_direction0, gaze_direction1, gaze_angle, eye_landmarks2D, eye_landmarks3D, au_intensities, au_occurences);
|
||||
|
||||
|
|
@ -446,6 +471,3 @@ void RecorderOpenFace::Close()
|
|||
metadata_file.close();
|
||||
|
||||
}
|
||||
|
||||
|
||||
|
||||
|
|
|
|||
Loading…
Reference in a new issue