/*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(vtkCloudMatSink); }} cv::viz::vtkCloudMatSink::vtkCloudMatSink() {} cv::viz::vtkCloudMatSink::~vtkCloudMatSink() {} void cv::viz::vtkCloudMatSink::SetOutput(OutputArray _cloud, OutputArray _colors, OutputArray _normals, OutputArray _tcoords) { cloud = _cloud; colors = _colors; normals = _normals; tcoords = _tcoords; } void cv::viz::vtkCloudMatSink::WriteData() { vtkPolyData *input = this->GetInput(); if (!input) return; vtkSmartPointer points_Data = input->GetPoints(); if (cloud.needed() && points_Data) { int vtktype = points_Data->GetDataType(); CV_Assert(vtktype == VTK_FLOAT || vtktype == VTK_DOUBLE); cloud.create(1, points_Data->GetNumberOfPoints(), vtktype == VTK_FLOAT ? CV_32FC3 : CV_64FC3); Vec3d *ddata = cloud.getMat().ptr(); Vec3f *fdata = cloud.getMat().ptr(); if (cloud.depth() == CV_32F) for(size_t i = 0; i < cloud.total(); ++i) *fdata++ = Vec3d(points_Data->GetPoint((vtkIdType)i)); if (cloud.depth() == CV_64F) for(size_t i = 0; i < cloud.total(); ++i) *ddata++ = Vec3d(points_Data->GetPoint((vtkIdType)i)); } else cloud.release(); vtkSmartPointer scalars_data = input->GetPointData() ? input->GetPointData()->GetScalars() : 0; if (colors.needed() && scalars_data) { int channels = scalars_data->GetNumberOfComponents(); int vtktype = scalars_data->GetDataType(); CV_Assert((channels == 3 || channels == 4) && "Only 3- or 4-channel color data support is implemented"); CV_Assert(cloud.total() == (size_t)scalars_data->GetNumberOfTuples()); Mat buffer(cloud.size(), CV_64FC(channels)); Vec3d *cptr = buffer.ptr(); for(size_t i = 0; i < buffer.total(); ++i) *cptr++ = Vec3d(scalars_data->GetTuple((vtkIdType)i)); buffer.convertTo(colors, CV_8U, vtktype == VTK_FLOAT || VTK_FLOAT == VTK_DOUBLE ? 255.0 : 1.0); } else colors.release(); vtkSmartPointer normals_data = input->GetPointData() ? input->GetPointData()->GetNormals() : 0; if (normals.needed() && normals_data) { int channels = normals_data->GetNumberOfComponents(); int vtktype = normals_data->GetDataType(); CV_Assert((vtktype == VTK_FLOAT || VTK_FLOAT == VTK_DOUBLE) && (channels == 3 || channels == 4)); CV_Assert(cloud.total() == (size_t)normals_data->GetNumberOfTuples()); Mat buffer(cloud.size(), CV_64FC(channels)); Vec3d *cptr = buffer.ptr(); for(size_t i = 0; i < buffer.total(); ++i) *cptr++ = Vec3d(normals_data->GetTuple((vtkIdType)i)); buffer.convertTo(normals, vtktype == VTK_FLOAT ? CV_32F : CV_64F); } else normals.release(); vtkSmartPointer coords_data = input->GetPointData() ? input->GetPointData()->GetTCoords() : 0; if (tcoords.needed() && coords_data) { int vtktype = coords_data->GetDataType(); CV_Assert(vtktype == VTK_FLOAT || VTK_FLOAT == VTK_DOUBLE); CV_Assert(cloud.total() == (size_t)coords_data->GetNumberOfTuples()); Mat buffer(cloud.size(), CV_64FC2); Vec2d *cptr = buffer.ptr(); for(size_t i = 0; i < buffer.total(); ++i) *cptr++ = Vec2d(coords_data->GetTuple((vtkIdType)i)); buffer.convertTo(tcoords, vtktype == VTK_FLOAT ? CV_32F : CV_64F); } else tcoords.release(); } void cv::viz::vtkCloudMatSink::PrintSelf(ostream& os, vtkIndent indent) { Superclass::PrintSelf(os, indent); os << indent << "Cloud: " << cloud.needed() << "\n"; os << indent << "Colors: " << colors.needed() << "\n"; os << indent << "Normals: " << normals.needed() << "\n"; } int cv::viz::vtkCloudMatSink::FillInputPortInformation(int, vtkInformation *info) { info->Set(vtkAlgorithm::INPUT_REQUIRED_DATA_TYPE(), "vtkPolyData"); return 1; } vtkPolyData* cv::viz::vtkCloudMatSink::GetInput() { return vtkPolyData::SafeDownCast(this->Superclass::GetInput()); } vtkPolyData* cv::viz::vtkCloudMatSink::GetInput(int port) { return vtkPolyData::SafeDownCast(this->Superclass::GetInput(port)); }