199 lines
5.3 KiB
C++
199 lines
5.3 KiB
C++
///////////////////////////////////////////////////////////////////////////////
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// Copyright (C) 2017, Carnegie Mellon University and University of Cambridge,
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// all rights reserved.
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//
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// ACADEMIC OR NON-PROFIT ORGANIZATION NONCOMMERCIAL RESEARCH USE ONLY
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//
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// BY USING OR DOWNLOADING THE SOFTWARE, YOU ARE AGREEING TO THE TERMS OF THIS LICENSE AGREEMENT.
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// IF YOU DO NOT AGREE WITH THESE TERMS, YOU MAY NOT USE OR DOWNLOAD THE SOFTWARE.
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//
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// License can be found in OpenFace-license.txt
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// * Any publications arising from the use of this software, including but
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// not limited to academic journal and conference publications, technical
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// reports and manuals, must cite at least one of the following works:
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//
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// OpenFace: an open source facial behavior analysis toolkit
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// Tadas Baltrušaitis, Peter Robinson, and Louis-Philippe Morency
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// in IEEE Winter Conference on Applications of Computer Vision, 2016
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//
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// Rendering of Eyes for Eye-Shape Registration and Gaze Estimation
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// Erroll Wood, Tadas Baltrušaitis, Xucong Zhang, Yusuke Sugano, Peter Robinson, and Andreas Bulling
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// in IEEE International. Conference on Computer Vision (ICCV), 2015
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//
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// Cross-dataset learning and person-speci?c normalisation for automatic Action Unit detection
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// Tadas Baltrušaitis, Marwa Mahmoud, and Peter Robinson
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// in Facial Expression Recognition and Analysis Challenge,
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// IEEE International Conference on Automatic Face and Gesture Recognition, 2015
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//
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// Constrained Local Neural Fields for robust facial landmark detection in the wild.
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// Tadas Baltrušaitis, Peter Robinson, and Louis-Philippe Morency.
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// in IEEE Int. Conference on Computer Vision Workshops, 300 Faces in-the-Wild Challenge, 2013.
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//
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///////////////////////////////////////////////////////////////////////////////
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// Camera_Interop.h
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#pragma once
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#pragma unmanaged
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// Include all the unmanaged things we need.
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#include <opencv2/core/core.hpp>
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#include "opencv2/objdetect.hpp"
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#include "opencv2/calib3d.hpp"
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#include <opencv2/imgcodecs.hpp>
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#include <opencv2/imgproc.hpp>
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#include <opencv2/highgui/highgui.hpp>
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#include <vector>
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#include <set>
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#include <OpenCVWrappers.h>
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#include "ImageCapture.h"
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#pragma managed
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#include <msclr\marshal.h>
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#include <msclr\marshal_cppstd.h>
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namespace MediaReader {
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public ref class ReadingFailedException : System::Exception
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{
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public:
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ReadingFailedException(System::String^ message) : Exception(message) {}
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};
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public ref class ImageReader
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{
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private:
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// OpenCV based video capture for reading from files
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Utilities::ImageCapture* m_image_capture;
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OpenCVWrappers::RawImage^ m_rgb_frame;
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OpenCVWrappers::RawImage^ m_gray_frame;
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bool* m_is_opened;
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public:
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// Can provide a directory, or a list of files
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ImageReader(System::String^ image_directory)
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{
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m_image_capture = new Utilities::ImageCapture();
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m_is_opened = new bool;
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std::string image_dir_std = msclr::interop::marshal_as<std::string>(image_directory);
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*m_is_opened = m_image_capture->OpenDirectory(image_dir_std);
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if (!*m_is_opened)
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{
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throw gcnew ReadingFailedException("Failed to open a directory or an image");
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}
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}
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// Can provide a directory, or a list of files
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ImageReader(System::Collections::Generic::List<System::String^>^ image_files)
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{
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m_image_capture = new Utilities::ImageCapture();
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m_is_opened = new bool;
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std::vector<std::string> image_files_std;
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for (size_t i = 0; i < image_files->Count; ++i)
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{
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std::string image_file = msclr::interop::marshal_as<std::string>(image_files[i]);
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image_files_std.push_back(image_file);
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}
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*m_is_opened = m_image_capture->OpenImageFiles(image_files_std);
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if (!*m_is_opened)
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{
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throw gcnew ReadingFailedException("Failed to open a directory or an image");
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}
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}
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OpenCVWrappers::RawImage^ GetNextImage()
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{
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cv::Mat next_image = m_image_capture->GetNextImage();
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if (m_rgb_frame == nullptr)
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{
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m_rgb_frame = gcnew OpenCVWrappers::RawImage(next_image.size().width, next_image.size().width, CV_8UC3);
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}
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next_image.copyTo(m_rgb_frame->Mat);
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if (next_image.empty())
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{
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*m_is_opened = false;
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}
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return m_rgb_frame;
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}
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double GetProgress()
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{
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return m_image_capture->GetProgress();
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}
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bool isOpened()
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{
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return *m_is_opened;
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}
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OpenCVWrappers::RawImage^ GetCurrentFrameGray() {
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cv::Mat next_gray_image = m_image_capture->GetGrayFrame();
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if (m_gray_frame == nullptr)
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{
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m_gray_frame = gcnew OpenCVWrappers::RawImage(next_gray_image.size().width, next_gray_image.size().width, CV_8UC3);
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}
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next_gray_image.copyTo(m_gray_frame->Mat);
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return m_gray_frame;
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}
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// Finalizer. Definitely called before Garbage Collection,
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// but not automatically called on explicit Dispose().
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// May be called multiple times.
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!ImageReader()
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{
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// Automatically closes capture object before freeing memory.
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if (m_image_capture != nullptr)
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{
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delete m_image_capture;
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}
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if (m_rgb_frame != nullptr)
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{
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delete m_rgb_frame;
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}
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if (m_gray_frame != nullptr)
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{
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delete m_gray_frame;
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}
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if (m_is_opened != nullptr)
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{
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delete m_gray_frame;
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}
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}
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// Destructor. Called on explicit Dispose() only.
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~ImageReader()
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{
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this->!ImageReader();
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}
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};
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}
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