| /////////////////////////////////////////////////////////////////////////////// | |
| // 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 2.0: Facial Behavior Analysis Toolkit | |
| // Tadas Baltru�aitis, Amir Zadeh, Yao Chong Lim, and Louis-Philippe Morency | |
| // in IEEE International Conference on Automatic Face and Gesture Recognition, 2018 | |
| // | |
| // Convolutional experts constrained local model for facial landmark detection. | |
| // A. Zadeh, T. Baltru�aitis, and Louis-Philippe Morency, | |
| // in Computer Vision and Pattern Recognition Workshops, 2017. | |
| // | |
| // Rendering of Eyes for Eye-Shape Registration and Gaze Estimation | |
| // Erroll Wood, Tadas Baltru�aitis, Xucong Zhang, Yusuke Sugano, Peter Robinson, and Andreas Bulling | |
| // in IEEE International. Conference on Computer Vision (ICCV), 2015 | |
| // | |
| // Cross-dataset learning and person-specific normalisation for automatic Action Unit detection | |
| // Tadas Baltru�aitis, Marwa Mahmoud, and Peter Robinson | |
| // in Facial Expression Recognition and Analysis Challenge, | |
| // IEEE International Conference on Automatic Face and Gesture Recognition, 2015 | |
| // | |
| /////////////////////////////////////////////////////////////////////////////// | |
| 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::COLOR_BGR2GRAY); | |
| } | |
| else | |
| { | |
| cv::cvtColor(in, out, cv::COLOR_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::COLOR_BGRA2GRAY); | |
| } | |
| else | |
| { | |
| cv::cvtColor(in, out, cv::COLOR_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(); | |
| } | |
| } | |
| } | |
| } | |