124 lines
3.6 KiB
C++
124 lines
3.6 KiB
C++
///////////////////////////////////////////////////////////////////////////////
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// Copyright (C) 2017, Tadas Baltrusaitis 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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//
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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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#ifndef __IMAGE_MANIPULATION_HELPERS_h_
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#define __IMAGE_MANIPULATION_HELPERS_h_
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#include <opencv2/core/core.hpp>
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#include <opencv2/imgproc.hpp>
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namespace Utilities
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{
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//===========================================================================
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// Converting between color spaces and bit depths
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//===========================================================================
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// Perform the conversion inplace
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static void ConvertToRGB_8bit(cv::Mat& in_out)
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{
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if (in_out.channels() == 3 && in_out.depth() == CV_16U)
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{
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in_out = in_out / 256;
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}
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else if (in_out.channels() == 4)
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{
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if (in_out.depth() == CV_16U)
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{
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in_out = in_out / 256;
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cv::cvtColor(in_out, in_out, CV_BGRA2BGR);
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}
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else
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{
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cv::cvtColor(in_out, in_out, CV_BGRA2BGR);
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}
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}
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else if (in_out.channels() == 1)
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{
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if (in_out.depth() == CV_16U)
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{
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in_out = in_out / 256;
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cv::cvtColor(in_out, in_out, CV_GRAY2BGR);
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}
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else
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{
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cv::cvtColor(in_out, in_out, CV_GRAY2BGR);
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}
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}
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}
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static void ConvertToGrayscale_8bit(const cv::Mat& in, cv::Mat& out)
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{
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if (in.channels() == 3)
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{
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// Make sure it's in a correct format
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if (in.depth() == CV_16U)
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{
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cv::Mat tmp = in / 256;
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tmp.convertTo(out, CV_8U);
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cv::cvtColor(out, out, CV_BGR2GRAY);
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}
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else
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{
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cv::cvtColor(in, out, CV_BGR2GRAY);
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}
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}
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else if (in.channels() == 4)
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{
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if (in.depth() == CV_16U)
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{
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cv::Mat tmp = in / 256;
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tmp.convertTo(out, CV_8U);
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cv::cvtColor(out, out, CV_BGRA2GRAY);
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}
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else
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{
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cv::cvtColor(in, out, CV_BGRA2GRAY);
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}
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}
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else
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{
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if (in.depth() == CV_16U)
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{
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cv::Mat tmp = in / 256;
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tmp.convertTo(out, CV_8U);
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}
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else if (in.depth() == CV_8U)
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{
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out = in.clone();
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}
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}
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}
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}
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#endif |