sustaining_gazes/lib/local/Utilities/include/ImageManipulationHelpers.h
2017-12-15 20:01:28 +00:00

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///////////////////////////////////////////////////////////////////////////////
// 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.
//
///////////////////////////////////////////////////////////////////////////////
#ifndef __IMAGE_MANIPULATION_HELPERS_h_
#define __IMAGE_MANIPULATION_HELPERS_h_
#include <opencv2/core/core.hpp>
#include <opencv2/imgproc.hpp>
namespace Utilities
{
//===========================================================================
// Converting between color spaces and bit depths
//===========================================================================
static void ConvertToGrayscale_8bit(const cv::Mat& in, cv::Mat& out)
{
if (in.channels() == 3)
{
// Make sure it's in a correct format
if (in.depth() == CV_16U)
{
cv::Mat tmp = in / 256;
tmp.convertTo(out, CV_8U);
cv::cvtColor(out, out, CV_BGR2GRAY);
}
else
{
cv::cvtColor(in, out, CV_BGR2GRAY);
}
}
else if (in.channels() == 4)
{
if (in.depth() == CV_16U)
{
cv::Mat tmp = in / 256;
tmp.convertTo(out, CV_8U);
cv::cvtColor(out, out, CV_BGRA2GRAY);
}
else
{
cv::cvtColor(in, out, CV_BGRA2GRAY);
}
}
else
{
if (in.depth() == CV_16U)
{
cv::Mat tmp = in / 256;
tmp.convertTo(out, CV_8U);
}
else if (in.depth() == CV_8U)
{
out = in.clone();
}
}
}
}
#endif