/*M/////////////////////////////////////////////////////////////////////////////////////// // // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // // By downloading, copying, installing or using the software you agree to this license. // If you do not agree to this license, do not download, install, // copy or use the software. // // // License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2013, OpenCV Foundation, all rights reserved. // Third party copyrights are property of their respective owners. // // Redistribution and use in source and binary forms, with or without modification, // are permitted provided that the following conditions are met: // // * Redistribution's of source code must retain the above copyright notice, // this list of conditions and the following disclaimer. // // * Redistribution's in binary form must reproduce the above copyright notice, // this list of conditions and the following disclaimer in the documentation // and/or other materials provided with the distribution. // // * The name of the copyright holders may not be used to endorse or promote products // derived from this software without specific prior written permission. // // This software is provided by the copyright holders and contributors "as is" and // any express or implied warranties, including, but not limited to, the implied // warranties of merchantability and fitness for a particular purpose are disclaimed. // In no event shall the Intel Corporation or contributors be liable for any direct, // indirect, incidental, special, exemplary, or consequential damages // (including, but not limited to, procurement of substitute goods or services; // loss of use, data, or profits; or business interruption) however caused // and on any theory of liability, whether in contract, strict liability, // or tort (including negligence or otherwise) arising in any way out of // the use of this software, even if advised of the possibility of such damage. // // Authors: // * Anatoly Baksheev, Itseez Inc. myname.mysurname <> mycompany.com // //M*/ #include "precomp.hpp" namespace cv { namespace viz { vtkStandardNewMacro(vtkTrajectorySource); }} cv::viz::vtkTrajectorySource::vtkTrajectorySource() { SetNumberOfInputPorts(0); } cv::viz::vtkTrajectorySource::~vtkTrajectorySource() {} void cv::viz::vtkTrajectorySource::SetTrajectory(InputArray _traj) { CV_Assert(_traj.kind() == _InputArray::STD_VECTOR || _traj.kind() == _InputArray::MAT); CV_Assert(_traj.type() == CV_32FC(16) || _traj.type() == CV_64FC(16)); Mat traj; _traj.getMat().convertTo(traj, CV_64F); const Affine3d* dpath = traj.ptr(); size_t total = traj.total(); points = vtkSmartPointer::New(); points->SetDataType(VTK_DOUBLE); points->SetNumberOfPoints((vtkIdType)total); tensors = vtkSmartPointer::New(); tensors->SetNumberOfComponents(9); tensors->SetNumberOfTuples((vtkIdType)total); for(size_t i = 0; i < total; ++i, ++dpath) { Matx33d R = dpath->rotation().t(); // transposed because of tensors->SetTuple((vtkIdType)i, R.val); // column major order Vec3d p = dpath->translation(); points->SetPoint((vtkIdType)i, p.val); } } cv::Mat cv::viz::vtkTrajectorySource::ExtractPoints(InputArray _traj) { CV_Assert(_traj.kind() == _InputArray::STD_VECTOR || _traj.kind() == _InputArray::MAT); CV_Assert(_traj.type() == CV_32FC(16) || _traj.type() == CV_64FC(16)); Mat points(1, (int)_traj.total(), CV_MAKETYPE(_traj.depth(), 3)); const Affine3d* dpath = _traj.getMat().ptr(); const Affine3f* fpath = _traj.getMat().ptr(); if (_traj.depth() == CV_32F) for(int i = 0; i < points.cols; ++i) points.at(i) = fpath[i].translation(); if (_traj.depth() == CV_64F) for(int i = 0; i < points.cols; ++i) points.at(i) = dpath[i].translation(); return points; } int cv::viz::vtkTrajectorySource::RequestData(vtkInformation *vtkNotUsed(request), vtkInformationVector **vtkNotUsed(inputVector), vtkInformationVector *outputVector) { vtkInformation *outInfo = outputVector->GetInformationObject(0); vtkPolyData *output = vtkPolyData::SafeDownCast(outInfo->Get(vtkDataObject::DATA_OBJECT())); output->SetPoints(points); output->GetPointData()->SetTensors(tensors); return 1; }