More work towards GUI with new interface.

This commit is contained in:
Tadas Baltrusaitis 2018-01-09 18:14:15 +00:00
parent 07dadf6600
commit 5f500117e2
4 changed files with 28 additions and 12 deletions

View file

@ -85,7 +85,6 @@ namespace OpenFaceOffline
// Some members for displaying the results
private Capture capture;
private FaceDetector face_detector;
private WriteableBitmap latest_img;
private WriteableBitmap latest_aligned_face;
private WriteableBitmap latest_HOG_descriptor;
@ -102,9 +101,13 @@ namespace OpenFaceOffline
volatile bool detectionSucceeding = false;
// For tracking
private FaceDetector face_detector;
FaceModelParameters face_model_params;
CLNF clnf_model;
FaceAnalyserManaged face_analyser;
// For face analysis
FaceAnalyserManaged face_analyser_sequence;
FaceAnalyserManaged face_analyser_image;
GazeAnalyserManaged gaze_analyser;
// Recording parameters (default values)
@ -150,7 +153,8 @@ namespace OpenFaceOffline
face_model_params = new FaceModelParameters(root, false);
clnf_model = new CLNF(face_model_params);
face_analyser = new FaceAnalyserManaged(root, DynamicAUModels, image_output_size);
face_analyser_sequence = new FaceAnalyserManaged(root, true, image_output_size); // TODO how to deal with dynamic and static models here
face_analyser_image = new FaceAnalyserManaged(root, false, image_output_size);
gaze_analyser = new GazeAnalyserManaged();
@ -302,14 +306,17 @@ namespace OpenFaceOffline
List<double> confidences = new List<double>();
face_detector.DetectFacesHOG(face_detections, grayFrame, confidences);
//Rectangle
var landmark_detections = clnf_model.DetectMultiFaceLandmarksInImage(grayFrame, face_model_params);
// Go over all detected faces
for (int i = 0; i < landmark_detections.Count; ++i)
for (int i = 0; i < face_detections.Count; ++i)
{
bool success = clnf_model.DetectFaceLandmarksInImage(grayFrame, face_model_params);
// Predict action units
var au_preds = face_analyser.PredictStaticAUs(grayFrame, landmark_detections[i]);
// TODO face analyser should be optimized for single images
var au_preds = face_analyser.PredictStaticAUs(grayFrame, clnf_model.CalculateAllLandmarks());
// Predic eye gaze
gaze_analyser.AddNextFrame(clnf_model, success, fx, fy, cx, cy); // TODO fx should be from reader
}
List<Point> landmark_points = new List<Point>();

View file

@ -102,6 +102,12 @@ public:
{
string root_std = msclr::interop::marshal_as<std::string>(root);
FaceAnalysis::FaceAnalyserParameters params(root_std);
if (!dynamic)
{
params.OptimizeForImages();
}
params.setAlignedOutput(output_width);
face_analyser = new FaceAnalysis::FaceAnalyser(params);

View file

@ -204,6 +204,7 @@ namespace CppInterop {
return ::LandmarkDetector::DetectLandmarksInImage(image->Mat, *clnf, *modelParams->getParams());
}
// TODO rem old
List<List<System::Tuple<double,double>^>^>^ DetectMultiFaceLandmarksInImage(OpenCVWrappers::RawImage^ image, FaceModelParameters^ modelParams) {
auto all_landmarks = gcnew List<List<System::Tuple<double,double>^>^>();

View file

@ -68,7 +68,6 @@ bool ImageCapture::Open(std::vector<std::string>& arguments)
// Some default values
std::string input_root = "";
fx = -1; fy = -1; cx = -1; cy = -1;
frame_num = 0;
std::string separator = std::string(1, boost::filesystem::path::preferred_separator);
@ -179,7 +178,8 @@ bool ImageCapture::Open(std::vector<std::string>& arguments)
bool ImageCapture::OpenImageFiles(const std::vector<std::string>& image_files, float fx, float fy, float cx, float cy)
{
// Setting some defaults
frame_num = 0;
no_input_specified = false;
latest_frame = cv::Mat();
@ -218,6 +218,8 @@ bool ImageCapture::OpenDirectory(std::string directory, std::string bbox_directo
{
INFO_STREAM("Attempting to read from directory: " << directory);
// Setup some defaults
frame_num = 0;
no_input_specified = false;
image_files.clear();