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/*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(vtkCloudMatSource);
template<typename _Tp> struct VtkDepthTraits;
template<> struct VtkDepthTraits<float>
{
const static int data_type = VTK_FLOAT;
typedef vtkFloatArray array_type;
};
template<> struct VtkDepthTraits<double>
{
const static int data_type = VTK_DOUBLE;
typedef vtkDoubleArray array_type;
};
}}
cv::viz::vtkCloudMatSource::vtkCloudMatSource() { SetNumberOfInputPorts(0); }
cv::viz::vtkCloudMatSource::~vtkCloudMatSource() {}
int cv::viz::vtkCloudMatSource::SetCloud(InputArray _cloud)
{
CV_Assert(_cloud.depth() == CV_32F || _cloud.depth() == CV_64F);
CV_Assert(_cloud.channels() == 3 || _cloud.channels() == 4);
Mat cloud = _cloud.getMat();
int total = _cloud.depth() == CV_32F ? filterNanCopy<float>(cloud) : filterNanCopy<double>(cloud);
vertices = vtkSmartPointer<vtkCellArray>::New();
vertices->Allocate(vertices->EstimateSize(1, total));
vertices->InsertNextCell(total);
for(int i = 0; i < total; ++i)
vertices->InsertCellPoint(i);
return total;
}
int cv::viz::vtkCloudMatSource::SetColorCloud(InputArray _cloud, InputArray _colors)
{
int total = SetCloud(_cloud);
if (_colors.empty())
return total;
CV_Assert(_colors.depth() == CV_8U && _colors.channels() <= 4 && _colors.channels() != 2);
CV_Assert(_colors.size() == _cloud.size());
Mat cloud = _cloud.getMat();
Mat colors = _colors.getMat();
if (cloud.depth() == CV_32F)
filterNanColorsCopy<float>(colors, cloud, total);
else if (cloud.depth() == CV_64F)
filterNanColorsCopy<double>(colors, cloud, total);
return total;
}
int cv::viz::vtkCloudMatSource::SetColorCloudNormals(InputArray _cloud, InputArray _colors, InputArray _normals)
{
int total = SetColorCloud(_cloud, _colors);
if (_normals.empty())
return total;
CV_Assert(_normals.depth() == CV_32F || _normals.depth() == CV_64F);
CV_Assert(_normals.channels() == 3 || _normals.channels() == 4);
CV_Assert(_normals.size() == _cloud.size());
Mat c = _cloud.getMat();
Mat n = _normals.getMat();
if (n.depth() == CV_32F && c.depth() == CV_32F)
filterNanNormalsCopy<float, float>(n, c, total);
else if (n.depth() == CV_32F && c.depth() == CV_64F)
filterNanNormalsCopy<float, double>(n, c, total);
else if (n.depth() == CV_64F && c.depth() == CV_32F)
filterNanNormalsCopy<double, float>(n, c, total);
else if (n.depth() == CV_64F && c.depth() == CV_64F)
filterNanNormalsCopy<double, double>(n, c, total);
else
CV_Assert(!"Unsupported normals/cloud type");
return total;
}
int cv::viz::vtkCloudMatSource::SetColorCloudNormalsTCoords(InputArray _cloud, InputArray _colors, InputArray _normals, InputArray _tcoords)
{
int total = SetColorCloudNormals(_cloud, _colors, _normals);
if (_tcoords.empty())
return total;
CV_Assert(_tcoords.depth() == CV_32F || _tcoords.depth() == CV_64F);
CV_Assert(_tcoords.channels() == 2 && _tcoords.size() == _cloud.size());
Mat cl = _cloud.getMat();
Mat tc = _tcoords.getMat();
if (tc.depth() == CV_32F && cl.depth() == CV_32F)
filterNanTCoordsCopy<float, float>(tc, cl, total);
else if (tc.depth() == CV_32F && cl.depth() == CV_64F)
filterNanTCoordsCopy<float, double>(tc, cl, total);
else if (tc.depth() == CV_64F && cl.depth() == CV_32F)
filterNanTCoordsCopy<double, float>(tc, cl, total);
else if (tc.depth() == CV_64F && cl.depth() == CV_64F)
filterNanTCoordsCopy<double, double>(tc, cl, total);
else
CV_Assert(!"Unsupported tcoords/cloud type");
return total;
}
int cv::viz::vtkCloudMatSource::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->SetVerts(vertices);
if (scalars)
output->GetPointData()->SetScalars(scalars);
if (normals)
output->GetPointData()->SetNormals(normals);
if (tcoords)
output->GetPointData()->SetTCoords(tcoords);
return 1;
}
template<typename _Tp>
int cv::viz::vtkCloudMatSource::filterNanCopy(const Mat& cloud)
{
CV_DbgAssert(DataType<_Tp>::depth == cloud.depth());
points = vtkSmartPointer<vtkPoints>::New();
points->SetDataType(VtkDepthTraits<_Tp>::data_type);
points->Allocate((vtkIdType)cloud.total());
points->SetNumberOfPoints((vtkIdType)cloud.total());
int s_chs = cloud.channels();
int total = 0;
for (int y = 0; y < cloud.rows; ++y)
{
const _Tp* srow = cloud.ptr<_Tp>(y);
const _Tp* send = srow + cloud.cols * s_chs;
for (; srow != send; srow += s_chs)
if (!isNan(srow))
points->SetPoint(total++, srow);
}
points->SetNumberOfPoints(total);
points->Squeeze();
return total;
}
template<typename _Msk>
void cv::viz::vtkCloudMatSource::filterNanColorsCopy(const Mat& cloud_colors, const Mat& mask, int total)
{
Vec3b* array = new Vec3b[total];
Vec3b* pos = array;
int s_chs = cloud_colors.channels();
int m_chs = mask.channels();
for (int y = 0; y < cloud_colors.rows; ++y)
{
const unsigned char* srow = cloud_colors.ptr<unsigned char>(y);
const unsigned char* send = srow + cloud_colors.cols * s_chs;
const _Msk* mrow = mask.ptr<_Msk>(y);
if (cloud_colors.channels() == 1)
{
for (; srow != send; srow += s_chs, mrow += m_chs)
if (!isNan(mrow))
*pos++ = Vec3b(srow[0], srow[0], srow[0]);
}
else
for (; srow != send; srow += s_chs, mrow += m_chs)
if (!isNan(mrow))
*pos++ = Vec3b(srow[2], srow[1], srow[0]);
}
scalars = vtkSmartPointer<vtkUnsignedCharArray>::New();
scalars->SetName("Colors");
scalars->SetNumberOfComponents(3);
scalars->SetNumberOfTuples(total);
scalars->SetArray(array->val, total * 3, 0, vtkUnsignedCharArray::VTK_DATA_ARRAY_DELETE);
}
template<typename _Tn, typename _Msk>
void cv::viz::vtkCloudMatSource::filterNanNormalsCopy(const Mat& cloud_normals, const Mat& mask, int total)
{
normals = vtkSmartPointer< typename VtkDepthTraits<_Tn>::array_type >::New();
normals->SetName("Normals");
normals->SetNumberOfComponents(3);
normals->SetNumberOfTuples(total);
int s_chs = cloud_normals.channels();
int m_chs = mask.channels();
int pos = 0;
for (int y = 0; y < cloud_normals.rows; ++y)
{
const _Tn* srow = cloud_normals.ptr<_Tn>(y);
const _Tn* send = srow + cloud_normals.cols * s_chs;
const _Msk* mrow = mask.ptr<_Msk>(y);
for (; srow != send; srow += s_chs, mrow += m_chs)
if (!isNan(mrow))
normals->SetTuple(pos++, srow);
}
}
template<typename _Tn, typename _Msk>
void cv::viz::vtkCloudMatSource::filterNanTCoordsCopy(const Mat& _tcoords, const Mat& mask, int total)
{
typedef Vec<_Tn, 2> Vec2;
tcoords = vtkSmartPointer< typename VtkDepthTraits<_Tn>::array_type >::New();
tcoords->SetName("TextureCoordinates");
tcoords->SetNumberOfComponents(2);
tcoords->SetNumberOfTuples(total);
int pos = 0;
for (int y = 0; y < mask.rows; ++y)
{
const Vec2* srow = _tcoords.ptr<Vec2>(y);
const Vec2* send = srow + _tcoords.cols;
const _Msk* mrow = mask.ptr<_Msk>(y);
for (; srow != send; ++srow, mrow += mask.channels())
if (!isNan(mrow))
tcoords->SetTuple(pos++, srow->val);
}
}