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Making sure all modules do eye tracking by default. More work on FaceLandmarkImg simplification.

This commit is contained in:
Tadas Baltrusaitis 2017-11-16 09:00:47 +00:00
parent c93004f03d
commit 734c4fd34d
8 changed files with 47 additions and 60 deletions
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10
exe/FaceLandmarkImg/FaceLandmarkImg.cpp
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@ -191,6 +191,11 @@ int main (int argc, char **argv)
Utilities::RecorderOpenFaceParameters recording_params(arguments, false);
Utilities::RecorderOpenFace open_face_rec(image_reader.name, recording_params, arguments);
visualizer.SetImage(captured_image, image_reader.fx, image_reader.fy, image_reader.cx, image_reader.cy);
if (recording_params.outputGaze() && !face_model.eye_model)
cout << "WARNING: no eye model defined, but outputting gaze" << endl;
// Making sure the image is in uchar grayscale
cv::Mat_<uchar> grayscale_image = image_reader.GetGrayFrame();
@ -230,7 +235,7 @@ int main (int argc, char **argv)
cv::Point3f gaze_direction1(0, 0, -1);
cv::Vec2d gaze_angle(0, 0);
if (success && det_parameters.track_gaze)
if (success && 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);
@ -249,13 +254,11 @@ int main (int argc, char **argv)
}
// Displaying the tracking visualizations
visualizer.SetImage(captured_image, image_reader.fx, image_reader.fy, image_reader.cx, image_reader.cy);
visualizer.SetObservationFaceAlign(sim_warped_img);
visualizer.SetObservationHOG(hog_descriptor, num_hog_rows, num_hog_cols);
visualizer.SetObservationLandmarks(face_model.detected_landmarks, face_model.detection_certainty, face_model.detection_success);
visualizer.SetObservationPose(pose_estimate, face_model.detection_certainty);
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.ShowObservation();
// 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
@ -271,6 +274,7 @@ int main (int argc, char **argv)
// Grabbing the next frame in the sequence
captured_image = image_reader.GetNextImage();
}
visualizer.ShowObservation();
}

4
exe/FaceLandmarkVid/FaceLandmarkVid.cpp
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@ -92,7 +92,6 @@ int main (int argc, char **argv)
vector<string> arguments = get_arguments(argc, argv);
LandmarkDetector::FaceModelParameters det_parameters(arguments);
det_parameters.track_gaze = true;
// The modules that are being used for tracking
LandmarkDetector::CLNF face_model(det_parameters.model_location);
@ -142,7 +141,8 @@ int main (int argc, char **argv)
cv::Point3f gazeDirection0(0, 0, -1);
cv::Point3f gazeDirection1(0, 0, -1);
if (det_parameters.track_gaze && detection_success && face_model.eye_model)
// If tracking succeeded and we have an eye model, estimate gaze
if (detection_success && face_model.eye_model)
{
GazeAnalysis::EstimateGaze(face_model, gazeDirection0, sequence_reader.fx, sequence_reader.fy, sequence_reader.cx, sequence_reader.cy, true);
GazeAnalysis::EstimateGaze(face_model, gazeDirection1, sequence_reader.fx, sequence_reader.fy, sequence_reader.cx, sequence_reader.cy, false);

3
exe/FaceLandmarkVidMulti/FaceLandmarkVidMulti.vcxproj
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@ -166,6 +166,9 @@
<ProjectReference Include="..\..\lib\local\LandmarkDetector\LandmarkDetector.vcxproj">
<Project>{bdc1d107-de17-4705-8e7b-cdde8bfb2bf8}</Project>
</ProjectReference>
<ProjectReference Include="..\..\lib\local\Utilities\Utilities.vcxproj">
<Project>{8e741ea2-9386-4cf2-815e-6f9b08991eac}</Project>
</ProjectReference>
</ItemGroup>
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />
<ImportGroup Label="ExtensionTargets">

6
exe/FeatureExtraction/FeatureExtraction.cpp
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@ -107,7 +107,6 @@ int main (int argc, char **argv)
// Load face landmark detector
LandmarkDetector::FaceModelParameters det_parameters(arguments);
// Always track gaze in feature extraction
det_parameters.track_gaze = true;
LandmarkDetector::CLNF face_model(det_parameters.model_location);
// Load facial feature extractor and AU analyser
@ -137,6 +136,9 @@ int main (int argc, char **argv)
Utilities::RecorderOpenFaceParameters recording_params(arguments, true, sequence_reader.fps);
Utilities::RecorderOpenFace open_face_rec(sequence_reader.name, recording_params, arguments);
if (recording_params.outputGaze() && !face_model.eye_model)
cout << "WARNING: no eye model defined, but outputting gaze" << endl;
captured_image = sequence_reader.GetNextFrame();
// For reporting progress
@ -155,7 +157,7 @@ int main (int argc, char **argv)
// Gaze tracking, absolute gaze direction
cv::Point3f gazeDirection0(0, 0, -1); cv::Point3f gazeDirection1(0, 0, -1); cv::Vec2d gazeAngle(0, 0);
if (det_parameters.track_gaze && detection_success && face_model.eye_model)
if (detection_success && face_model.eye_model)
{
GazeAnalysis::EstimateGaze(face_model, gazeDirection0, sequence_reader.fx, sequence_reader.fy, sequence_reader.cx, sequence_reader.cy, true);
GazeAnalysis::EstimateGaze(face_model, gazeDirection1, sequence_reader.fx, sequence_reader.fy, sequence_reader.cx, sequence_reader.cy, false);

3
lib/local/LandmarkDetector/include/LandmarkDetectorParameters.h
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@ -102,9 +102,6 @@ struct FaceModelParameters
// Should the parameters be refined for different scales
bool refine_parameters;
// Using the brand new and experimental gaze tracker
bool track_gaze;
FaceModelParameters();
FaceModelParameters(vector<string> &arguments);

69
lib/local/LandmarkDetector/src/LandmarkDetectorModel.cpp
View File

@ -576,43 +576,37 @@ bool CLNF::DetectLandmarks(const cv::Mat_<uchar> &image, FaceModelParameters& pa
// Do the hierarchical models in parallel
tbb::parallel_for(0, (int)hierarchical_models.size(), [&](int part_model){
{
// Only do the synthetic eye models if we're doing gaze
if (!((hierarchical_model_names[part_model].compare("right_eye_28") == 0 ||
hierarchical_model_names[part_model].compare("left_eye_28") == 0)
&& !params.track_gaze))
int n_part_points = hierarchical_models[part_model].pdm.NumberOfPoints();
vector<pair<int, int>> mappings = this->hierarchical_mapping[part_model];
cv::Mat_<double> part_model_locs(n_part_points * 2, 1, 0.0);
// Extract the corresponding landmarks
for (size_t mapping_ind = 0; mapping_ind < mappings.size(); ++mapping_ind)
{
part_model_locs.at<double>(mappings[mapping_ind].second) = detected_landmarks.at<double>(mappings[mapping_ind].first);
part_model_locs.at<double>(mappings[mapping_ind].second + n_part_points) = detected_landmarks.at<double>(mappings[mapping_ind].first + this->pdm.NumberOfPoints());
}
int n_part_points = hierarchical_models[part_model].pdm.NumberOfPoints();
// Fit the part based model PDM
hierarchical_models[part_model].pdm.CalcParams(hierarchical_models[part_model].params_global, hierarchical_models[part_model].params_local, part_model_locs);
vector<pair<int, int>> mappings = this->hierarchical_mapping[part_model];
// Only do this if we don't need to upsample
if (params_global[0] > 0.9 * hierarchical_models[part_model].patch_experts.patch_scaling[0])
{
parts_used = true;
cv::Mat_<double> part_model_locs(n_part_points * 2, 1, 0.0);
this->hierarchical_params[part_model].window_sizes_current = this->hierarchical_params[part_model].window_sizes_init;
// Extract the corresponding landmarks
for (size_t mapping_ind = 0; mapping_ind < mappings.size(); ++mapping_ind)
{
part_model_locs.at<double>(mappings[mapping_ind].second) = detected_landmarks.at<double>(mappings[mapping_ind].first);
part_model_locs.at<double>(mappings[mapping_ind].second + n_part_points) = detected_landmarks.at<double>(mappings[mapping_ind].first + this->pdm.NumberOfPoints());
}
// Do the actual landmark detection
hierarchical_models[part_model].DetectLandmarks(image, hierarchical_params[part_model]);
// Fit the part based model PDM
hierarchical_models[part_model].pdm.CalcParams(hierarchical_models[part_model].params_global, hierarchical_models[part_model].params_local, part_model_locs);
// Only do this if we don't need to upsample
if (params_global[0] > 0.9 * hierarchical_models[part_model].patch_experts.patch_scaling[0])
{
parts_used = true;
this->hierarchical_params[part_model].window_sizes_current = this->hierarchical_params[part_model].window_sizes_init;
// Do the actual landmark detection
hierarchical_models[part_model].DetectLandmarks(image, hierarchical_params[part_model]);
}
else
{
hierarchical_models[part_model].pdm.CalcShape2D(hierarchical_models[part_model].detected_landmarks, hierarchical_models[part_model].params_local, hierarchical_models[part_model].params_global);
}
}
else
{
hierarchical_models[part_model].pdm.CalcShape2D(hierarchical_models[part_model].detected_landmarks, hierarchical_models[part_model].params_local, hierarchical_models[part_model].params_global);
}
}
});
@ -625,16 +619,11 @@ bool CLNF::DetectLandmarks(const cv::Mat_<uchar> &image, FaceModelParameters& pa
{
vector<pair<int, int>> mappings = this->hierarchical_mapping[part_model];
if (!((hierarchical_model_names[part_model].compare("right_eye_28") == 0 ||
hierarchical_model_names[part_model].compare("left_eye_28") == 0)
&& !params.track_gaze))
// Reincorporate the models into main tracker
for (size_t mapping_ind = 0; mapping_ind < mappings.size(); ++mapping_ind)
{
// Reincorporate the models into main tracker
for (size_t mapping_ind = 0; mapping_ind < mappings.size(); ++mapping_ind)
{
detected_landmarks.at<double>(mappings[mapping_ind].first) = hierarchical_models[part_model].detected_landmarks.at<double>(mappings[mapping_ind].second);
detected_landmarks.at<double>(mappings[mapping_ind].first + pdm.NumberOfPoints()) = hierarchical_models[part_model].detected_landmarks.at<double>(mappings[mapping_ind].second + hierarchical_models[part_model].pdm.NumberOfPoints());
}
detected_landmarks.at<double>(mappings[mapping_ind].first) = hierarchical_models[part_model].detected_landmarks.at<double>(mappings[mapping_ind].second);
detected_landmarks.at<double>(mappings[mapping_ind].first + pdm.NumberOfPoints()) = hierarchical_models[part_model].detected_landmarks.at<double>(mappings[mapping_ind].second + hierarchical_models[part_model].pdm.NumberOfPoints());
}
}

8
lib/local/LandmarkDetector/src/LandmarkDetectorParameters.cpp
View File

@ -148,12 +148,6 @@ FaceModelParameters::FaceModelParameters(vector<string> &arguments)
valid[i + 1] = false;
i++;
}
else if (arguments[i].compare("-gaze") == 0)
{
track_gaze = true;
valid[i] = false;
}
else if (arguments[i].compare("-q") == 0)
{
@ -267,7 +261,5 @@ void FaceModelParameters::init()
// By default use HOG SVM
curr_face_detector = HOG_SVM_DETECTOR;
// The gaze tracking has to be explicitly initialised
track_gaze = false;
}

4
lib/local/Utilities/src/RecorderOpenFace.cpp
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@ -65,7 +65,8 @@ void CreateDirectory(std::string output_path)
if (!success)
{
std::cout << "Failed to create a directory..." << p.string() << std::endl;
std::cout << "ERROR: failed to create output directory:" << p.string() << ", do you have permission to create directory" << std::endl;
exit(1);
}
}
}
@ -85,7 +86,6 @@ RecorderOpenFace::RecorderOpenFace(const std::string in_filename, RecorderOpenFa
valid[i] = true;
}
string record_root;
for (size_t i = 0; i < arguments.size(); ++i)
{
if (arguments[i].compare("-outroot") == 0)