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Updating multi-face setup with the new interface.

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This commit is contained in:
Tadas Baltrusaitis 2017-11-13 17:48:17 +00:00
parent 9f4bf5724f
commit fa75910b6c
3 changed files with 69 additions and 184 deletions
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3
exe/FaceLandmarkVid/FaceLandmarkVid.cpp
View file

@ -180,6 +180,9 @@ int main (int argc, char **argv)
return(0); return(0);
} }
// Grabbing the next frame in the sequence
captured_image = sequence_reader.GetNextFrame();
} }
// Reset the model, for the next video // Reset the model, for the next video

238
exe/FaceLandmarkVidMulti/FaceLandmarkVidMulti.cpp
View file

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

8
exe/FaceLandmarkVidMulti/FaceLandmarkVidMulti.vcxproj
View file

@ -105,7 +105,7 @@
<ClCompile> <ClCompile>
<WarningLevel>Level3</WarningLevel> <WarningLevel>Level3</WarningLevel>
<Optimization>Disabled</Optimization> <Optimization>Disabled</Optimization>
<AdditionalIncludeDirectories>$(SolutionDir)\lib\local\LandmarkDetector\include;%(AdditionalIncludeDirectories)</AdditionalIncludeDirectories> <AdditionalIncludeDirectories>$(SolutionDir)\lib\local\LandmarkDetector\include;$(SolutionDir)\lib\local\Utilities\include;%(AdditionalIncludeDirectories)</AdditionalIncludeDirectories>
<EnableEnhancedInstructionSet>StreamingSIMDExtensions2</EnableEnhancedInstructionSet> <EnableEnhancedInstructionSet>StreamingSIMDExtensions2</EnableEnhancedInstructionSet>
<MultiProcessorCompilation>true</MultiProcessorCompilation> <MultiProcessorCompilation>true</MultiProcessorCompilation>
</ClCompile> </ClCompile>
@ -117,7 +117,7 @@
<ClCompile> <ClCompile>
<WarningLevel>Level3</WarningLevel> <WarningLevel>Level3</WarningLevel>
<Optimization>Disabled</Optimization> <Optimization>Disabled</Optimization>
<AdditionalIncludeDirectories>$(SolutionDir)\lib\local\LandmarkDetector\include;%(AdditionalIncludeDirectories)</AdditionalIncludeDirectories> <AdditionalIncludeDirectories>$(SolutionDir)\lib\local\LandmarkDetector\include;$(SolutionDir)\lib\local\Utilities\include;%(AdditionalIncludeDirectories)</AdditionalIncludeDirectories>
<EnableEnhancedInstructionSet>AdvancedVectorExtensions</EnableEnhancedInstructionSet> <EnableEnhancedInstructionSet>AdvancedVectorExtensions</EnableEnhancedInstructionSet>
<MultiProcessorCompilation>true</MultiProcessorCompilation> <MultiProcessorCompilation>true</MultiProcessorCompilation>
</ClCompile> </ClCompile>
@ -131,7 +131,7 @@
<Optimization>MaxSpeed</Optimization> <Optimization>MaxSpeed</Optimization>
<FunctionLevelLinking>true</FunctionLevelLinking> <FunctionLevelLinking>true</FunctionLevelLinking>
<IntrinsicFunctions>true</IntrinsicFunctions> <IntrinsicFunctions>true</IntrinsicFunctions>
<AdditionalIncludeDirectories>$(SolutionDir)\lib\local\LandmarkDetector\include;%(AdditionalIncludeDirectories)</AdditionalIncludeDirectories> <AdditionalIncludeDirectories>$(SolutionDir)\lib\local\LandmarkDetector\include;$(SolutionDir)\lib\local\Utilities\include;%(AdditionalIncludeDirectories)</AdditionalIncludeDirectories>
<EnableEnhancedInstructionSet>StreamingSIMDExtensions2</EnableEnhancedInstructionSet> <EnableEnhancedInstructionSet>StreamingSIMDExtensions2</EnableEnhancedInstructionSet>
<RuntimeLibrary>MultiThreadedDLL</RuntimeLibrary> <RuntimeLibrary>MultiThreadedDLL</RuntimeLibrary>
<MultiProcessorCompilation>true</MultiProcessorCompilation> <MultiProcessorCompilation>true</MultiProcessorCompilation>
@ -148,7 +148,7 @@
<Optimization>MaxSpeed</Optimization> <Optimization>MaxSpeed</Optimization>
<FunctionLevelLinking>true</FunctionLevelLinking> <FunctionLevelLinking>true</FunctionLevelLinking>
<IntrinsicFunctions>true</IntrinsicFunctions> <IntrinsicFunctions>true</IntrinsicFunctions>
<AdditionalIncludeDirectories>$(SolutionDir)\lib\local\LandmarkDetector\include;%(AdditionalIncludeDirectories)</AdditionalIncludeDirectories> <AdditionalIncludeDirectories>$(SolutionDir)\lib\local\LandmarkDetector\include;$(SolutionDir)\lib\local\Utilities\include;%(AdditionalIncludeDirectories)</AdditionalIncludeDirectories>
<EnableEnhancedInstructionSet>AdvancedVectorExtensions</EnableEnhancedInstructionSet> <EnableEnhancedInstructionSet>AdvancedVectorExtensions</EnableEnhancedInstructionSet>
<RuntimeLibrary>MultiThreadedDLL</RuntimeLibrary> <RuntimeLibrary>MultiThreadedDLL</RuntimeLibrary>
<MultiProcessorCompilation>true</MultiProcessorCompilation> <MultiProcessorCompilation>true</MultiProcessorCompilation>