sustaining_gazes/lib/local/CppInerop/OpenCVWrappers.h

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///////////////////////////////////////////////////////////////////////////////
// Copyright (C) 2017, Carnegie Mellon University and University of Cambridge,
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// all rights reserved.
//
// ACADEMIC OR NON-PROFIT ORGANIZATION NONCOMMERCIAL RESEARCH USE ONLY
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//
// 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
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// * 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 Baltru<72>aitis, 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 Baltru<72>aitis, 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 Baltru<72>aitis, 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 Baltru<72>aitis, Peter Robinson, and Louis-Philippe Morency.
// in IEEE Int. Conference on Computer Vision Workshops, 300 Faces in-the-Wild Challenge, 2013.
//
///////////////////////////////////////////////////////////////////////////////
// OpenCVWrappers.h
#pragma once
#pragma managed
#include <msclr\marshal_cppstd.h>
#pragma unmanaged
#include "cv.h"
#include "highgui.h"
#include <opencv2/videoio/videoio.hpp> // Video write
#include <opencv2/videoio/videoio_c.h> // Video write
#pragma managed
#pragma make_public(cv::Mat)
using namespace System::Windows;
using namespace System::Windows::Threading;
using namespace System::Windows::Media;
using namespace System::Windows::Media::Imaging;
namespace OpenCVWrappers {
public ref class RawImage : System::IDisposable
{
private:
cv::Mat* mat;
static int refCount;
public:
static int PixelFormatToType(PixelFormat fmt)
{
if (fmt == PixelFormats::Gray8)
return CV_8UC1;
else if (fmt == PixelFormats::Bgr24)
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return CV_8UC3;
else if (fmt == PixelFormats::Bgra32)
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return CV_8UC4;
else if (fmt == PixelFormats::Gray32Float)
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return CV_32FC1;
else
throw gcnew System::Exception("Unsupported pixel format");
}
static PixelFormat TypeToPixelFormat(int type)
{
switch (type) {
case CV_8UC1:
return PixelFormats::Gray8;
case CV_8UC3:
return PixelFormats::Bgr24;
case CV_8UC4:
return PixelFormats::Bgra32;
case CV_32FC1:
return PixelFormats::Gray32Float;
default:
throw gcnew System::Exception("Unsupported image type");
}
}
static property int RefCount {
int get() { return refCount; }
}
RawImage()
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{
mat = new cv::Mat();
refCount++;
}
RawImage(const cv::Mat& m)
{
mat = new cv::Mat(m.clone());
refCount++;
}
RawImage(RawImage^ img)
{
mat = new cv::Mat(img->Mat.clone());
refCount++;
}
RawImage(int width, int height, int type)
{
mat = new cv::Mat(height, width, type);
refCount++;
}
RawImage(int width, int height, PixelFormat format)
{
int type = RawImage::PixelFormatToType(format);
mat = new cv::Mat(height, width, type);
refCount++;
}
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void Mirror()
{
cv::flip(*mat, *mat, 1);
}
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// Finalizer. Definitely called before Garbage Collection,
// but not automatically called on explicit Dispose().
// May be called multiple times.
!RawImage()
{
if (mat)
{
delete mat;
mat = NULL;
refCount--;
}
}
// Destructor. Called on explicit Dispose() only.
~RawImage()
{
this->!RawImage();
}
property int Width
{
int get()
{
return mat->cols;
}
}
property int Height
{
int get()
{
return mat->rows;
}
}
property int Stride
{
int get()
{
return mat->step;
}
}
property PixelFormat Format
{
PixelFormat get()
{
return TypeToPixelFormat(mat->type());
}
}
property cv::Mat& Mat
{
cv::Mat& get()
{
return *mat;
}
}
property bool IsEmpty
{
bool get()
{
return !mat || mat->empty();
}
}
bool UpdateWriteableBitmap(WriteableBitmap^ bitmap)
{
if (bitmap == nullptr || bitmap->PixelWidth != Width || bitmap->PixelHeight != Height || bitmap->Format != Format)
return false;
else {
if (mat->data == NULL) {
cv::Mat zeros(bitmap->PixelHeight, bitmap->PixelWidth, PixelFormatToType(bitmap->Format), 0);
bitmap->WritePixels(Int32Rect(0, 0, Width, Height), System::IntPtr(zeros.data), Stride * Height * (Format.BitsPerPixel / 8), Stride, 0, 0);
}
else {
bitmap->WritePixels(Int32Rect(0, 0, Width, Height), System::IntPtr(mat->data), Stride * Height * (Format.BitsPerPixel / 8), Stride, 0, 0);
}
return true;
}
}
WriteableBitmap^ CreateWriteableBitmap()
{
return gcnew WriteableBitmap(Width, Height, 72, 72, Format, nullptr);
}
};
public ref class VideoWriter
{
private:
// OpenCV based video capture for reading from files
cv::VideoWriter* vc;
public:
VideoWriter(System::String^ location, int width, int height, double fps, bool colour)
{
msclr::interop::marshal_context context;
std::string location_std_string = context.marshal_as<std::string>(location);
vc = new cv::VideoWriter(location_std_string, CV_FOURCC('D', 'I', 'V', 'X'), fps, cv::Size(width, height), colour);
}
// Return success
bool Write(RawImage^ img)
{
if (vc != nullptr && vc->isOpened())
{
vc->write(img->Mat);
return true;
}
else
{
return false;
}
}
// Finalizer. Definitely called before Garbage Collection,
// but not automatically called on explicit Dispose().
// May be called multiple times.
!VideoWriter()
{
if (vc != nullptr)
{
vc->~VideoWriter();
}
}
// Destructor. Called on explicit Dispose() only.
~VideoWriter()
{
this->!VideoWriter();
}
};
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}