sustaining_gazes/lib/local/CppInerop/ImageReader.h

223 lines
5.7 KiB
C++

///////////////////////////////////////////////////////////////////////////////
// Copyright (C) 2017, Tadas Baltrusaitis, 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.
//
///////////////////////////////////////////////////////////////////////////////
#pragma once
#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>
#include <vector>
#include <set>
#include <OpenCVWrappers.h>
#include "ImageCapture.h"
#pragma managed
#include <msclr\marshal.h>
#include <msclr\marshal_cppstd.h>
namespace UtilitiesOF {
public ref class ReadingFailedException : System::Exception
{
public:
ReadingFailedException(System::String^ message) : Exception(message) {}
};
public ref class ImageReader
{
private:
// OpenCV based video capture for reading from files
Utilities::ImageCapture* m_image_capture;
OpenCVWrappers::RawImage^ m_rgb_frame;
OpenCVWrappers::RawImage^ m_gray_frame;
bool* m_is_opened;
public:
// Can provide a directory, or a list of files
ImageReader(System::String^ image_directory, float fx, float fy, float cx, float cy)
{
m_image_capture = new Utilities::ImageCapture();
m_is_opened = new bool;
std::string image_dir_std = msclr::interop::marshal_as<std::string>(image_directory);
*m_is_opened = m_image_capture->OpenDirectory(image_dir_std, "", fx, fy, cx, cy);
if (!*m_is_opened)
{
throw gcnew ReadingFailedException("Failed to open a directory or an image");
}
}
// Can provide a directory, or a list of files
ImageReader(System::Collections::Generic::List<System::String^>^ image_files, float fx, float fy, float cx, float cy)
{
m_image_capture = new Utilities::ImageCapture();
m_is_opened = new bool;
std::vector<std::string> image_files_std;
for (size_t i = 0; i < image_files->Count; ++i)
{
std::string image_file = msclr::interop::marshal_as<std::string>(image_files[i]);
image_files_std.push_back(image_file);
}
*m_is_opened = m_image_capture->OpenImageFiles(image_files_std, fx, fy, cx, cy);
if (!*m_is_opened)
{
throw gcnew ReadingFailedException("Failed to open a directory or an image");
}
}
OpenCVWrappers::RawImage^ GetNextImage()
{
cv::Mat next_image = m_image_capture->GetNextImage();
if (m_rgb_frame == nullptr)
{
m_rgb_frame = gcnew OpenCVWrappers::RawImage(next_image.size().width, next_image.size().width, CV_8UC3);
}
next_image.copyTo(m_rgb_frame->Mat);
if (next_image.empty())
{
*m_is_opened = false;
}
return m_rgb_frame;
}
System::String^ GetName()
{
std::string filename = m_image_capture->name;
return gcnew System::String(filename.c_str());
}
double GetProgress()
{
return m_image_capture->GetProgress();
}
float GetFx()
{
return m_image_capture->fx;
}
float GetFy()
{
return m_image_capture->fy;
}
float GetCx()
{
return m_image_capture->cx;
}
float GetCy()
{
return m_image_capture->cy;
}
bool isOpened()
{
return *m_is_opened;
}
OpenCVWrappers::RawImage^ GetCurrentFrameGray() {
cv::Mat next_gray_image = m_image_capture->GetGrayFrame();
if (m_gray_frame == nullptr)
{
m_gray_frame = gcnew OpenCVWrappers::RawImage(next_gray_image.size().width, next_gray_image.size().width, CV_8UC3);
}
next_gray_image.copyTo(m_gray_frame->Mat);
return m_gray_frame;
}
// Finalizer. Definitely called before Garbage Collection,
// but not automatically called on explicit Dispose().
// May be called multiple times.
!ImageReader()
{
// Automatically closes capture object before freeing memory.
if (m_image_capture != nullptr)
{
delete m_image_capture;
}
if (m_rgb_frame != nullptr)
{
delete m_rgb_frame;
}
if (m_gray_frame != nullptr)
{
delete m_gray_frame;
}
if (m_is_opened != nullptr)
{
delete m_is_opened;
}
}
// Destructor. Called on explicit Dispose() only.
~ImageReader()
{
this->!ImageReader();
}
};
}