Updating multi-face setup with the new interface.
This commit is contained in:
Tadas Baltrusaitis
parent
9f4bf5724f
commit
fa75910b6c
3 changed files with 69 additions and 184 deletions
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@ -180,6 +180,9 @@ int main (int argc, char **argv)
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return(0);
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}
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// Grabbing the next frame in the sequence
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captured_image = sequence_reader.GetNextFrame();
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}
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// Reset the model, for the next video
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@ -36,6 +36,10 @@
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// FaceTrackingVidMulti.cpp : Defines the entry point for the multiple face tracking console application.
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#include "LandmarkCoreIncludes.h"
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#include "VisualizationUtils.h"
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#include "Visualizer.h"
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#include "SequenceCapture.h"
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#include <fstream>
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#include <sstream>
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@ -106,17 +110,8 @@ int main (int argc, char **argv)
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vector<string> arguments = get_arguments(argc, argv);
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// Some initial parameters that can be overriden from command line
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vector<string> files, tracked_videos_output, dummy_out;
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// By default try webcam 0
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int device = 0;
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// cx and cy aren't necessarilly in the image center, so need to be able to override it (start with unit vals and init them if none specified)
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float fx = 600, fy = 600, cx = 0, cy = 0;
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LandmarkDetector::FaceModelParameters det_params(arguments);
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det_params.use_face_template = true;
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// This is so that the model would not try re-initialising itself
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det_params.reinit_video_every = -1;
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@ -125,113 +120,61 @@ 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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// Get the input output file parameters
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string output_codec;
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LandmarkDetector::get_video_input_output_params(files, dummy_out, tracked_videos_output, output_codec, arguments);
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// Get camera parameters
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LandmarkDetector::get_camera_params(device, fx, fy, cx, cy, arguments);
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// The modules that are being used for tracking
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vector<LandmarkDetector::CLNF> clnf_models;
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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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LandmarkDetector::CLNF clnf_model(det_parameters[0].model_location);
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clnf_model.face_detector_HAAR.load(det_parameters[0].face_detector_location);
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clnf_model.face_detector_location = det_parameters[0].face_detector_location;
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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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clnf_models.reserve(num_faces_max);
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face_models.reserve(num_faces_max);
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clnf_models.push_back(clnf_model);
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face_models.push_back(face_model);
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active_models.push_back(false);
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for (int i = 1; i < num_faces_max; ++i)
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{
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clnf_models.push_back(clnf_model);
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face_models.push_back(face_model);
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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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// If multiple video files are tracked, use this to indicate if we are done
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bool done = false;
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int f_n = -1;
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// Open a sequence
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Utilities::SequenceCapture sequence_reader;
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// If cx (optical axis centre) is undefined will use the image size/2 as an estimate
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bool cx_undefined = false;
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if(cx == 0 || cy == 0)
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{
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cx_undefined = true;
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}
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// A utility for visualizing the results
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Utilities::Visualizer visualizer(arguments);
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while(!done) // this is not a for loop as we might also be reading from a webcam
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// Tracking FPS for visualization
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Utilities::FpsTracker fps_tracker;
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fps_tracker.AddFrame();
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while(true) // this is not a for loop as we might also be reading from a webcam
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{
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string current_file;
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// We might specify multiple video files as arguments
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if(files.size() > 0)
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// The sequence reader chooses what to open based on command line arguments provided
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if (!sequence_reader.Open(arguments) && sequence_reader.no_input_specified)
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{
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f_n++;
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current_file = files[f_n];
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}
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// Do some grabbing
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cv::VideoCapture video_capture;
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if( current_file.size() > 0 )
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{
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INFO_STREAM( "Attempting to read from file: " << current_file );
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video_capture = cv::VideoCapture( current_file );
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// If that fails, revert to webcam
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INFO_STREAM("No input specified, attempting to open a webcam 0");
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if (!sequence_reader.OpenWebcam(0))
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ERROR_STREAM("Failed to open the webcam");
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}
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else
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{
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INFO_STREAM( "Attempting to capture from device: " << device );
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video_capture = cv::VideoCapture( device );
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// Read a first frame often empty in camera
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cv::Mat captured_image;
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video_capture >> captured_image;
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ERROR_STREAM("Failed to open a sequence");
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break;
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}
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if (!video_capture.isOpened())
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{
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FATAL_STREAM("Failed to open video source");
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return 1;
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}
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else INFO_STREAM( "Device or file opened");
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INFO_STREAM("Device or file opened");
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cv::Mat captured_image;
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video_capture >> captured_image;
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// If optical centers are not defined just use center of image
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if(cx_undefined)
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{
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cx = captured_image.cols / 2.0f;
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cy = captured_image.rows / 2.0f;
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}
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cv::Mat captured_image = sequence_reader.GetNextFrame();
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int frame_count = 0;
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// saving the videos
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cv::VideoWriter writerFace;
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if(!tracked_videos_output.empty())
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{
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try
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{
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writerFace = cv::VideoWriter(tracked_videos_output[f_n], CV_FOURCC(output_codec[0],output_codec[1],output_codec[2],output_codec[3]), 30, captured_image.size(), true);
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}
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catch(cv::Exception e)
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{
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WARN_STREAM( "Could not open VideoWriter, OUTPUT FILE WILL NOT BE WRITTEN. Currently using codec " << output_codec << ", try using an other one (-oc option)");
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}
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}
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// For measuring the timings
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int64 t1,t0 = cv::getTickCount();
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double fps = 10;
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INFO_STREAM( "Starting tracking");
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while(!captured_image.empty())
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{
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@ -253,7 +196,7 @@ int main (int argc, char **argv)
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vector<cv::Rect_<double> > face_detections;
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bool all_models_active = true;
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for(unsigned int model = 0; model < clnf_models.size(); ++model)
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for(unsigned int model = 0; model < face_models.size(); ++model)
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{
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if(!active_models[model])
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{
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@ -267,33 +210,32 @@ int main (int argc, char **argv)
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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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LandmarkDetector::DetectFacesHOG(face_detections, grayscale_image, clnf_models[0].face_detector_HOG, confidences);
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LandmarkDetector::DetectFacesHOG(face_detections, grayscale_image, face_models[0].face_detector_HOG, confidences);
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}
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else
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{
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LandmarkDetector::DetectFaces(face_detections, grayscale_image, clnf_models[0].face_detector_HAAR);
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LandmarkDetector::DetectFaces(face_detections, grayscale_image, face_models[0].face_detector_HAAR);
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}
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}
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// Keep only non overlapping detections (also convert to a concurrent vector
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NonOverlapingDetections(clnf_models, face_detections);
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NonOverlapingDetections(face_models, face_detections);
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vector<tbb::atomic<bool> > face_detections_used(face_detections.size());
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// Go through every model and update the tracking
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tbb::parallel_for(0, (int)clnf_models.size(), [&](int model){
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tbb::parallel_for(0, (int)face_models.size(), [&](int model){
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//for(unsigned int model = 0; model < clnf_models.size(); ++model)
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//{
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bool detection_success = false;
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// If the current model has failed more than 4 times in a row, remove it
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if(clnf_models[model].failures_in_a_row > 4)
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if(face_models[model].failures_in_a_row > 4)
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{
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active_models[model] = false;
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clnf_models[model].Reset();
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face_models[model].Reset();
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}
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// If the model is inactive reactivate it with new detections
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@ -307,11 +249,11 @@ int main (int argc, char **argv)
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{
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// Reinitialise the model
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clnf_models[model].Reset();
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face_models[model].Reset();
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// This ensures that a wider window is used for the initial landmark localisation
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clnf_models[model].detection_success = false;
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detection_success = LandmarkDetector::DetectLandmarksInVideo(grayscale_image, face_detections[detection_ind], clnf_models[model], det_parameters[model]);
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face_models[model].detection_success = false;
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detection_success = LandmarkDetector::DetectLandmarksInVideo(grayscale_image, face_detections[detection_ind], face_models[model], det_parameters[model]);
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// This activates the model
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active_models[model] = true;
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@ -325,96 +267,37 @@ int main (int argc, char **argv)
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else
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{
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// The actual facial landmark detection / tracking
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detection_success = LandmarkDetector::DetectLandmarksInVideo(grayscale_image, clnf_models[model], det_parameters[model]);
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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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// Go through every model and visualise the results
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for(size_t model = 0; model < clnf_models.size(); ++model)
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for(size_t model = 0; model < face_models.size(); ++model)
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{
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// Visualising the results
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// Drawing the facial landmarks on the face and the bounding box around it if tracking is successful and initialised
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double detection_certainty = clnf_models[model].detection_certainty;
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double visualisation_boundary = -0.1;
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// Only draw if the reliability is reasonable, the value is slightly ad-hoc
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if(detection_certainty < visualisation_boundary)
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if(active_models[model])
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{
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LandmarkDetector::Draw(disp_image, clnf_models[model]);
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if(detection_certainty > 1)
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detection_certainty = 1;
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if(detection_certainty < -1)
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detection_certainty = -1;
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detection_certainty = (detection_certainty + 1)/(visualisation_boundary +1);
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// A rough heuristic for box around the face width
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int thickness = (int)std::ceil(2.0* ((double)captured_image.cols) / 640.0);
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// Work out the pose of the head from the tracked model
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cv::Vec6d pose_estimate = LandmarkDetector::GetPose(clnf_models[model], fx, fy, cx, cy);
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// Draw it in reddish if uncertain, blueish if certain
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LandmarkDetector::DrawBox(disp_image, pose_estimate, cv::Scalar((1-detection_certainty)*255.0,0, detection_certainty*255), thickness, fx, fy, cx, cy);
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visualizer.SetObservationLandmarks(face_models[model].detected_landmarks, face_models[model].detection_certainty, face_models[model].detection_success);
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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.SetFps(fps_tracker.GetFPS());
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visualizer.ShowObservation();
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}
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}
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// Work out the framerate
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if(frame_count % 10 == 0)
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{
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t1 = cv::getTickCount();
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fps = 10.0 / (double(t1-t0)/cv::getTickFrequency());
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t0 = t1;
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}
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// Write out the framerate on the image before displaying it
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char fpsC[255];
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sprintf(fpsC, "%d", (int)fps);
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string fpsSt("FPS:");
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fpsSt += fpsC;
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cv::putText(disp_image, fpsSt, cv::Point(10,20), CV_FONT_HERSHEY_SIMPLEX, 0.5, CV_RGB(255,0,0), 1, CV_AA);
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int num_active_models = 0;
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for( size_t active_model = 0; active_model < active_models.size(); active_model++)
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{
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if(active_models[active_model])
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{
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num_active_models++;
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}
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}
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char active_m_C[255];
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sprintf(active_m_C, "%d", num_active_models);
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string active_models_st("Active models:");
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active_models_st += active_m_C;
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cv::putText(disp_image, active_models_st, cv::Point(10,60), CV_FONT_HERSHEY_SIMPLEX, 0.5, CV_RGB(255,0,0), 1, CV_AA);
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if(!det_parameters[0].quiet_mode)
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{
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cv::namedWindow("tracking_result",1);
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cv::imshow("tracking_result", disp_image);
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}
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// output the tracked video
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if(!tracked_videos_output.empty())
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{
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writerFace << disp_image;
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}
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video_capture >> captured_image;
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// detect key presses
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char character_press = cv::waitKey(1);
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// restart the trackers
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if(character_press == 'r')
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{
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for(size_t i=0; i < clnf_models.size(); ++i)
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for(size_t i=0; i < face_models.size(); ++i)
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{
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clnf_models[i].Reset();
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face_models[i].Reset();
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active_models[i] = false;
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}
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}
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@ -426,22 +309,21 @@ int main (int argc, char **argv)
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// Update the frame count
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frame_count++;
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// Grabbing the next frame in the sequence
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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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for(size_t model=0; model < clnf_models.size(); ++model)
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for(size_t model=0; model < face_models.size(); ++model)
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{
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clnf_models[model].Reset();
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face_models[model].Reset();
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active_models[model] = false;
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}
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// break out of the loop if done with all the files
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if(f_n == files.size() -1)
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{
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done = true;
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}
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}
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return 0;
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@ -105,7 +105,7 @@
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<ClCompile>
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<WarningLevel>Level3</WarningLevel>
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<Optimization>Disabled</Optimization>
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<AdditionalIncludeDirectories>$(SolutionDir)\lib\local\LandmarkDetector\include;%(AdditionalIncludeDirectories)</AdditionalIncludeDirectories>
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<AdditionalIncludeDirectories>$(SolutionDir)\lib\local\LandmarkDetector\include;$(SolutionDir)\lib\local\Utilities\include;%(AdditionalIncludeDirectories)</AdditionalIncludeDirectories>
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<EnableEnhancedInstructionSet>StreamingSIMDExtensions2</EnableEnhancedInstructionSet>
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<MultiProcessorCompilation>true</MultiProcessorCompilation>
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</ClCompile>
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@ -117,7 +117,7 @@
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<ClCompile>
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<WarningLevel>Level3</WarningLevel>
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<Optimization>Disabled</Optimization>
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<AdditionalIncludeDirectories>$(SolutionDir)\lib\local\LandmarkDetector\include;%(AdditionalIncludeDirectories)</AdditionalIncludeDirectories>
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<AdditionalIncludeDirectories>$(SolutionDir)\lib\local\LandmarkDetector\include;$(SolutionDir)\lib\local\Utilities\include;%(AdditionalIncludeDirectories)</AdditionalIncludeDirectories>
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<EnableEnhancedInstructionSet>AdvancedVectorExtensions</EnableEnhancedInstructionSet>
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<MultiProcessorCompilation>true</MultiProcessorCompilation>
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</ClCompile>
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@ -131,7 +131,7 @@
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<Optimization>MaxSpeed</Optimization>
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<FunctionLevelLinking>true</FunctionLevelLinking>
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<IntrinsicFunctions>true</IntrinsicFunctions>
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<AdditionalIncludeDirectories>$(SolutionDir)\lib\local\LandmarkDetector\include;%(AdditionalIncludeDirectories)</AdditionalIncludeDirectories>
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<AdditionalIncludeDirectories>$(SolutionDir)\lib\local\LandmarkDetector\include;$(SolutionDir)\lib\local\Utilities\include;%(AdditionalIncludeDirectories)</AdditionalIncludeDirectories>
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<EnableEnhancedInstructionSet>StreamingSIMDExtensions2</EnableEnhancedInstructionSet>
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<RuntimeLibrary>MultiThreadedDLL</RuntimeLibrary>
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<MultiProcessorCompilation>true</MultiProcessorCompilation>
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@ -148,7 +148,7 @@
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<Optimization>MaxSpeed</Optimization>
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<FunctionLevelLinking>true</FunctionLevelLinking>
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<IntrinsicFunctions>true</IntrinsicFunctions>
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<AdditionalIncludeDirectories>$(SolutionDir)\lib\local\LandmarkDetector\include;%(AdditionalIncludeDirectories)</AdditionalIncludeDirectories>
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<AdditionalIncludeDirectories>$(SolutionDir)\lib\local\LandmarkDetector\include;$(SolutionDir)\lib\local\Utilities\include;%(AdditionalIncludeDirectories)</AdditionalIncludeDirectories>
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<EnableEnhancedInstructionSet>AdvancedVectorExtensions</EnableEnhancedInstructionSet>
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<RuntimeLibrary>MultiThreadedDLL</RuntimeLibrary>
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<MultiProcessorCompilation>true</MultiProcessorCompilation>
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