376 lines
11 KiB
C++
376 lines
11 KiB
C++
///////////////////////////////////////////////////////////////////////////////
|
|
// Copyright (C) 2017, Carnegie Mellon University and University of Cambridge,
|
|
// all rights reserved.
|
|
//
|
|
// ACADEMIC OR NON-PROFIT ORGANIZATION NONCOMMERCIAL RESEARCH USE ONLY
|
|
//
|
|
// 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.
|
|
//
|
|
// License can be found in OpenFace-license.txt
|
|
|
|
// * Any publications arising from the use of this software, including but
|
|
// not limited to academic journal and conference publications, technical
|
|
// reports and manuals, must cite at least one of the following works:
|
|
//
|
|
// OpenFace: an open source facial behavior analysis toolkit
|
|
// Tadas Baltrušaitis, Peter Robinson, and Louis-Philippe Morency
|
|
// in IEEE Winter Conference on Applications of Computer Vision, 2016
|
|
//
|
|
// Rendering of Eyes for Eye-Shape Registration and Gaze Estimation
|
|
// Erroll Wood, Tadas Baltrušaitis, Xucong Zhang, Yusuke Sugano, Peter Robinson, and Andreas Bulling
|
|
// in IEEE International. Conference on Computer Vision (ICCV), 2015
|
|
//
|
|
// Cross-dataset learning and person-speci?c normalisation for automatic Action Unit detection
|
|
// Tadas Baltrušaitis, Marwa Mahmoud, and Peter Robinson
|
|
// in Facial Expression Recognition and Analysis Challenge,
|
|
// IEEE International Conference on Automatic Face and Gesture Recognition, 2015
|
|
//
|
|
// Constrained Local Neural Fields for robust facial landmark detection in the wild.
|
|
// Tadas Baltrušaitis, Peter Robinson, and Louis-Philippe Morency.
|
|
// in IEEE Int. Conference on Computer Vision Workshops, 300 Faces in-the-Wild Challenge, 2013.
|
|
//
|
|
///////////////////////////////////////////////////////////////////////////////
|
|
|
|
#ifndef __LANDMARK_DETECTOR_INTEROP_h_
|
|
#define __LANDMARK_DETECTOR_INTEROP_h_
|
|
|
|
#pragma once
|
|
|
|
#pragma managed
|
|
#include <msclr\marshal.h>
|
|
#include <msclr\marshal_cppstd.h>
|
|
|
|
#pragma unmanaged
|
|
|
|
// Include all the unmanaged things we need.
|
|
|
|
#include <opencv2/core/core.hpp>
|
|
#include "opencv2/objdetect.hpp"
|
|
#include "opencv2/calib3d.hpp"
|
|
#include <opencv2/imgcodecs.hpp>
|
|
#include <opencv2/imgproc.hpp>
|
|
#include <opencv2/highgui/highgui.hpp>
|
|
|
|
// Allows to overcome boost name clash stuff with C++ CLI
|
|
#ifdef __cplusplus_cli
|
|
#define generic __identifier(generic)
|
|
#endif
|
|
|
|
#include <OpenCVWrappers.h>
|
|
|
|
#include <LandmarkCoreIncludes.h>
|
|
|
|
#include <Face_utils.h>
|
|
#include <FaceAnalyser.h>
|
|
#include <VisualizationUtils.h>
|
|
|
|
#ifdef __cplusplus_cli
|
|
#undef generic
|
|
#endif
|
|
|
|
using namespace System::Collections::Generic;
|
|
|
|
#pragma managed
|
|
|
|
namespace CppInterop {
|
|
|
|
namespace LandmarkDetector {
|
|
|
|
public ref class FaceModelParameters
|
|
{
|
|
public:
|
|
::LandmarkDetector::FaceModelParameters* params;
|
|
|
|
public:
|
|
|
|
// Initialise the parameters
|
|
FaceModelParameters(System::String^ root, bool demo)
|
|
{
|
|
std::string root_std = msclr::interop::marshal_as<std::string>(root);
|
|
vector<std::string> args;
|
|
args.push_back(root_std);
|
|
|
|
params = new ::LandmarkDetector::FaceModelParameters(args);
|
|
|
|
if(demo)
|
|
{
|
|
params->model_location = "model/main_clnf_demos.txt";
|
|
}
|
|
|
|
}
|
|
|
|
// TODO this could have optimize for demo mode (also could appropriately update sigma, reg_factor as well)
|
|
void optimiseForVideo()
|
|
{
|
|
params->window_sizes_small = vector<int>(4);
|
|
params->window_sizes_init = vector<int>(4);
|
|
|
|
// For fast tracking
|
|
params->window_sizes_small[0] = 0;
|
|
params->window_sizes_small[1] = 9;
|
|
params->window_sizes_small[2] = 7;
|
|
params->window_sizes_small[3] = 5;
|
|
|
|
// Just for initialisation
|
|
params->window_sizes_init.at(0) = 11;
|
|
params->window_sizes_init.at(1) = 9;
|
|
params->window_sizes_init.at(2) = 7;
|
|
params->window_sizes_init.at(3) = 5;
|
|
|
|
// For first frame use the initialisation
|
|
params->window_sizes_current = params->window_sizes_init;
|
|
|
|
params->multi_view = false;
|
|
params->num_optimisation_iteration = 5;
|
|
|
|
params->sigma = 1.5;
|
|
params->reg_factor = 25;
|
|
params->weight_factor = 0;
|
|
}
|
|
|
|
void optimiseForImages()
|
|
{
|
|
params->window_sizes_init = vector<int>(4);
|
|
params->window_sizes_init[0] = 15;
|
|
params->window_sizes_init[1] = 13;
|
|
params->window_sizes_init[2] = 11;
|
|
params->window_sizes_init[3] = 9;
|
|
|
|
params->multi_view = true;
|
|
|
|
params->sigma = 1.25;
|
|
params->reg_factor = 35;
|
|
params->weight_factor = 2.5;
|
|
params->num_optimisation_iteration = 10;
|
|
}
|
|
|
|
::LandmarkDetector::FaceModelParameters* getParams() {
|
|
return params;
|
|
}
|
|
|
|
~FaceModelParameters()
|
|
{
|
|
delete params;
|
|
}
|
|
|
|
};
|
|
|
|
public ref class CLNF
|
|
{
|
|
public:
|
|
|
|
// A pointer to the CLNF landmark detector
|
|
::LandmarkDetector::CLNF* clnf;
|
|
|
|
public:
|
|
|
|
// Wrapper functions for the relevant CLNF functionality
|
|
CLNF() : clnf(new ::LandmarkDetector::CLNF()) { }
|
|
|
|
CLNF(FaceModelParameters^ params)
|
|
{
|
|
clnf = new ::LandmarkDetector::CLNF(params->getParams()->model_location);
|
|
}
|
|
|
|
~CLNF()
|
|
{
|
|
delete clnf;
|
|
}
|
|
|
|
::LandmarkDetector::CLNF* getCLNF() {
|
|
return clnf;
|
|
}
|
|
|
|
void Reset() {
|
|
clnf->Reset();
|
|
}
|
|
|
|
void Reset(double x, double y) {
|
|
clnf->Reset(x, y);
|
|
}
|
|
|
|
|
|
double GetConfidence()
|
|
{
|
|
return clnf->detection_certainty;
|
|
}
|
|
|
|
bool DetectLandmarksInVideo(OpenCVWrappers::RawImage^ image, FaceModelParameters^ modelParams) {
|
|
return ::LandmarkDetector::DetectLandmarksInVideo(image->Mat, *clnf, *modelParams->getParams());
|
|
}
|
|
|
|
bool DetectFaceLandmarksInImage(OpenCVWrappers::RawImage^ image, FaceModelParameters^ modelParams) {
|
|
return ::LandmarkDetector::DetectLandmarksInImage(image->Mat, *clnf, *modelParams->getParams());
|
|
}
|
|
|
|
bool DetectFaceLandmarksInImage(OpenCVWrappers::RawImage^ image, Rect^ bounding_box, FaceModelParameters^ modelParams) {
|
|
cv::Rect_<double> bbox(bounding_box->Left, bounding_box->Top, bounding_box->Width, bounding_box->Height);
|
|
return ::LandmarkDetector::DetectLandmarksInImage(image->Mat, bbox, *clnf, *modelParams->getParams());
|
|
}
|
|
|
|
void GetPoseWRTCamera(List<double>^ pose, double fx, double fy, double cx, double cy) {
|
|
auto pose_vec = ::LandmarkDetector::GetPoseWRTCamera(*clnf, fx, fy, cx, cy);
|
|
pose->Clear();
|
|
for(int i = 0; i < 6; ++i)
|
|
{
|
|
pose->Add(pose_vec[i]);
|
|
}
|
|
}
|
|
|
|
void GetPose(List<double>^ pose, double fx, double fy, double cx, double cy) {
|
|
auto pose_vec = ::LandmarkDetector::GetPose(*clnf, fx, fy, cx, cy);
|
|
pose->Clear();
|
|
for(int i = 0; i < 6; ++i)
|
|
{
|
|
pose->Add(pose_vec[i]);
|
|
}
|
|
}
|
|
|
|
// Get the mask of which landmarks are currently visible (not self-occluded)
|
|
List<bool>^ GetVisibilities()
|
|
{
|
|
cv::Mat_<int> vis = clnf->GetVisibilities();
|
|
List<bool>^ visibilities = gcnew List<bool>();
|
|
|
|
for (auto vis_it = vis.begin(); vis_it != vis.end(); vis_it++)
|
|
{
|
|
visibilities->Add(*vis_it != 0);
|
|
}
|
|
return visibilities;
|
|
}
|
|
|
|
List<System::Tuple<double,double>^>^ CalculateVisibleLandmarks() {
|
|
vector<cv::Point2d> vecLandmarks = ::LandmarkDetector::CalculateVisibleLandmarks(*clnf);
|
|
|
|
auto landmarks = gcnew System::Collections::Generic::List<System::Tuple<double,double>^>();
|
|
for(cv::Point2d p : vecLandmarks) {
|
|
landmarks->Add(gcnew System::Tuple<double,double>(p.x, p.y));
|
|
}
|
|
|
|
return landmarks;
|
|
}
|
|
|
|
List<System::Tuple<double, double>^>^ CalculateAllLandmarks() {
|
|
vector<cv::Point2d> vecLandmarks = ::LandmarkDetector::CalculateAllLandmarks(*clnf);
|
|
|
|
auto landmarks = gcnew List<System::Tuple<double, double>^>();
|
|
for (cv::Point2d p : vecLandmarks) {
|
|
landmarks->Add(gcnew System::Tuple<double, double>(p.x, p.y));
|
|
}
|
|
|
|
return landmarks;
|
|
}
|
|
|
|
List<System::Tuple<double, double>^>^ CalculateAllEyeLandmarks() {
|
|
vector<cv::Point2d> vecLandmarks = ::LandmarkDetector::CalculateAllEyeLandmarks(*clnf);
|
|
|
|
auto landmarks = gcnew System::Collections::Generic::List<System::Tuple<double, double>^>();
|
|
for (cv::Point2d p : vecLandmarks) {
|
|
landmarks->Add(gcnew System::Tuple<double, double>(p.x, p.y));
|
|
}
|
|
|
|
return landmarks;
|
|
}
|
|
|
|
List<System::Tuple<double, double, double>^>^ CalculateAllEyeLandmarks3D(double fx, double fy, double cx, double cy) {
|
|
vector<cv::Point3d> vecLandmarks = ::LandmarkDetector::Calculate3DEyeLandmarks(*clnf, fx, fy, cx, cy);
|
|
|
|
auto landmarks = gcnew System::Collections::Generic::List<System::Tuple<double, double, double>^>();
|
|
for (cv::Point3d p : vecLandmarks) {
|
|
landmarks->Add(gcnew System::Tuple<double, double, double>(p.x, p.y, p.z));
|
|
}
|
|
|
|
return landmarks;
|
|
}
|
|
|
|
List<System::Tuple<double, double>^>^ CalculateVisibleEyeLandmarks() {
|
|
vector<cv::Point2d> vecLandmarks = ::LandmarkDetector::CalculateVisibleEyeLandmarks(*clnf);
|
|
|
|
auto landmarks = gcnew System::Collections::Generic::List<System::Tuple<double, double>^>();
|
|
for (cv::Point2d p : vecLandmarks) {
|
|
landmarks->Add(gcnew System::Tuple<double, double>(p.x, p.y));
|
|
}
|
|
|
|
return landmarks;
|
|
}
|
|
|
|
List<System::Tuple<double, double, double>^>^ Calculate3DLandmarks(double fx, double fy, double cx, double cy) {
|
|
|
|
cv::Mat_<double> shape3D = clnf->GetShape(fx, fy, cx, cy);
|
|
|
|
auto landmarks_3D = gcnew List<System::Tuple<double, double, double>^>();
|
|
|
|
for(int i = 0; i < shape3D.cols; ++i)
|
|
{
|
|
landmarks_3D->Add(gcnew System::Tuple<double, double, double>(shape3D.at<double>(0, i), shape3D.at<double>(1, i), shape3D.at<double>(2, i)));
|
|
}
|
|
|
|
return landmarks_3D;
|
|
}
|
|
|
|
List<System::Tuple<System::Windows::Point, System::Windows::Point>^>^ CalculateBox(float fx, float fy, float cx, float cy) {
|
|
|
|
cv::Vec6d pose = ::LandmarkDetector::GetPose(*clnf, fx,fy, cx, cy);
|
|
|
|
vector<pair<cv::Point2d, cv::Point2d>> vecLines = ::Utilities::CalculateBox(pose, fx, fy, cx, cy);
|
|
|
|
auto lines = gcnew List<System::Tuple<System::Windows::Point,System::Windows::Point>^>();
|
|
|
|
for(pair<cv::Point2d, cv::Point2d> line : vecLines) {
|
|
lines->Add(gcnew System::Tuple<System::Windows::Point, System::Windows::Point>(System::Windows::Point(line.first.x, line.first.y), System::Windows::Point(line.second.x, line.second.y)));
|
|
}
|
|
|
|
return lines;
|
|
}
|
|
|
|
int GetNumPoints()
|
|
{
|
|
return clnf->pdm.NumberOfPoints();
|
|
}
|
|
|
|
int GetNumModes()
|
|
{
|
|
return clnf->pdm.NumberOfModes();
|
|
}
|
|
|
|
// Getting the non-rigid shape parameters describing the facial expression
|
|
List<double>^ GetNonRigidParams()
|
|
{
|
|
auto non_rigid_params = gcnew List<double>();
|
|
|
|
for (int i = 0; i < clnf->params_local.rows; ++i)
|
|
{
|
|
non_rigid_params->Add(clnf->params_local.at<double>(i));
|
|
}
|
|
|
|
return non_rigid_params;
|
|
}
|
|
|
|
// Getting the rigid shape parameters describing face scale rotation and translation (scale,rotx,roty,rotz,tx,ty)
|
|
List<double>^ GetRigidParams()
|
|
{
|
|
auto rigid_params = gcnew List<double>();
|
|
|
|
for (size_t i = 0; i < 6; ++i)
|
|
{
|
|
rigid_params->Add(clnf->params_global[i]);
|
|
}
|
|
return rigid_params;
|
|
}
|
|
|
|
// Rigid params followed by non-rigid ones
|
|
List<double>^ GetParams()
|
|
{
|
|
auto all_params = GetRigidParams();
|
|
all_params->AddRange(GetNonRigidParams());
|
|
return all_params;
|
|
}
|
|
|
|
};
|
|
|
|
}
|
|
|
|
}
|
|
|
|
#endif |