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refactored CloudNormals and added test for it
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@ -108,7 +108,7 @@ namespace cv
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{
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public:
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Mat cloud, colors;
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Mat cloud, colors, normals;
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Mat polygons;
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//! Loads mesh from a given ply file
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@ -45,14 +45,6 @@
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#include "precomp.hpp"
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namespace cv
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{
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namespace viz
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{
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template<typename _Tp> Vec<_Tp, 3>* vtkpoints_data(vtkSmartPointer<vtkPoints>& points);
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}
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}
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///////////////////////////////////////////////////////////////////////////////////////////////
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/// Point Cloud Widget implementation
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@ -183,119 +175,67 @@ template<> cv::viz::WCloudCollection cv::viz::Widget::cast<cv::viz::WCloudCollec
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///////////////////////////////////////////////////////////////////////////////////////////////
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/// Cloud Normals Widget implementation
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namespace cv { namespace viz { namespace
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{
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struct CloudNormalsUtils
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{
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template<typename _Tp>
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struct Impl
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{
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static vtkSmartPointer<vtkCellArray> applyOrganized(const Mat &cloud, const Mat& normals, double level, float scale, _Tp *&pts, vtkIdType &nr_normals)
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{
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vtkIdType point_step = static_cast<vtkIdType>(std::sqrt(level));
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nr_normals = (static_cast<vtkIdType>((cloud.cols - 1) / point_step) + 1) *
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(static_cast<vtkIdType>((cloud.rows - 1) / point_step) + 1);
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vtkSmartPointer<vtkCellArray> lines = vtkSmartPointer<vtkCellArray>::New();
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pts = new _Tp[2 * nr_normals * 3];
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int cch = cloud.channels();
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vtkIdType cell_count = 0;
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for (vtkIdType y = 0; y < cloud.rows; y += point_step)
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{
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const _Tp *prow = cloud.ptr<_Tp>(y);
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const _Tp *nrow = normals.ptr<_Tp>(y);
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for (vtkIdType x = 0; x < cloud.cols; x += point_step * cch)
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{
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pts[2 * cell_count * 3 + 0] = prow[x];
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pts[2 * cell_count * 3 + 1] = prow[x+1];
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pts[2 * cell_count * 3 + 2] = prow[x+2];
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pts[2 * cell_count * 3 + 3] = prow[x] + nrow[x] * scale;
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pts[2 * cell_count * 3 + 4] = prow[x+1] + nrow[x+1] * scale;
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pts[2 * cell_count * 3 + 5] = prow[x+2] + nrow[x+2] * scale;
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lines->InsertNextCell(2);
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lines->InsertCellPoint(2 * cell_count);
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lines->InsertCellPoint(2 * cell_count + 1);
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cell_count++;
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}
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}
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return lines;
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}
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static vtkSmartPointer<vtkCellArray> applyUnorganized(const Mat &cloud, const Mat& normals, int level, float scale, _Tp *&pts, vtkIdType &nr_normals)
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{
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vtkSmartPointer<vtkCellArray> lines = vtkSmartPointer<vtkCellArray>::New();
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nr_normals = (cloud.size().area() - 1) / level + 1 ;
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pts = new _Tp[2 * nr_normals * 3];
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int cch = cloud.channels();
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const _Tp *p = cloud.ptr<_Tp>();
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const _Tp *n = normals.ptr<_Tp>();
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for (vtkIdType i = 0, j = 0; j < nr_normals; j++, i = j * level * cch)
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{
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pts[2 * j * 3 + 0] = p[i];
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pts[2 * j * 3 + 1] = p[i+1];
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pts[2 * j * 3 + 2] = p[i+2];
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pts[2 * j * 3 + 3] = p[i] + n[i] * scale;
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pts[2 * j * 3 + 4] = p[i+1] + n[i+1] * scale;
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pts[2 * j * 3 + 5] = p[i+2] + n[i+2] * scale;
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lines->InsertNextCell(2);
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lines->InsertCellPoint(2 * j);
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lines->InsertCellPoint(2 * j + 1);
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}
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return lines;
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}
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};
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template<typename _Tp>
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static inline vtkSmartPointer<vtkCellArray> apply(const Mat &cloud, const Mat& normals, int level, float scale, _Tp *&pts, vtkIdType &nr_normals)
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{
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if (cloud.cols > 1 && cloud.rows > 1)
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return CloudNormalsUtils::Impl<_Tp>::applyOrganized(cloud, normals, level, scale, pts, nr_normals);
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else
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return CloudNormalsUtils::Impl<_Tp>::applyUnorganized(cloud, normals, level, scale, pts, nr_normals);
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}
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};
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}}}
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cv::viz::WCloudNormals::WCloudNormals(InputArray _cloud, InputArray _normals, int level, float scale, const Color &color)
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{
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Mat cloud = _cloud.getMat();
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Mat normals = _normals.getMat();
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CV_Assert(cloud.type() == CV_32FC3 || cloud.type() == CV_64FC3 || cloud.type() == CV_32FC4 || cloud.type() == CV_64FC4);
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CV_Assert(cloud.size() == normals.size() && cloud.type() == normals.type());
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int sqlevel = (int)std::sqrt((double)level);
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int ystep = (cloud.cols > 1 && cloud.rows > 1) ? sqlevel : 1;
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int xstep = (cloud.cols > 1 && cloud.rows > 1) ? sqlevel : level;
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vtkSmartPointer<vtkPoints> points = vtkSmartPointer<vtkPoints>::New();
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points->SetDataType(cloud.depth() == CV_32F ? VTK_FLOAT : VTK_DOUBLE);
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vtkSmartPointer<vtkCellArray> lines = vtkSmartPointer<vtkCellArray>::New();
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vtkIdType nr_normals = 0;
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if (cloud.depth() == CV_32F)
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int s_chs = cloud.channels();
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int n_chs = normals.channels();
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int total = 0;
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for(int y = 0; y < cloud.rows; y += ystep)
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{
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points->SetDataTypeToFloat();
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if (cloud.depth() == CV_32F)
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{
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const float *srow = cloud.ptr<float>(y);
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const float *send = srow + cloud.cols * s_chs;
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const float *nrow = normals.ptr<float>(y);
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vtkSmartPointer<vtkFloatArray> data = vtkSmartPointer<vtkFloatArray>::New();
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data->SetNumberOfComponents(3);
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for (; srow < send; srow += xstep * s_chs, nrow += xstep * n_chs)
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if (!isNan(srow) && !isNan(nrow))
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{
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Vec3f endp = Vec3f(srow) + Vec3f(nrow) * scale;
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float* pts = 0;
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lines = CloudNormalsUtils::apply(cloud, normals, level, scale, pts, nr_normals);
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data->SetArray(&pts[0], 2 * nr_normals * 3, 0);
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points->SetData(data);
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}
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else
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{
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points->SetDataTypeToDouble();
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points->InsertNextPoint(srow);
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points->InsertNextPoint(endp.val);
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vtkSmartPointer<vtkDoubleArray> data = vtkSmartPointer<vtkDoubleArray>::New();
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data->SetNumberOfComponents(3);
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lines->InsertNextCell(2);
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lines->InsertCellPoint(total++);
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lines->InsertCellPoint(total++);
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}
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}
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else
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{
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const double *srow = cloud.ptr<double>(y);
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const double *send = srow + cloud.cols * s_chs;
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const double *nrow = normals.ptr<double>(y);
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double* pts = 0;
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lines = CloudNormalsUtils::apply(cloud, normals, level, scale, pts, nr_normals);
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data->SetArray(&pts[0], 2 * nr_normals * 3, 0);
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points->SetData(data);
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for (; srow < send; srow += xstep * s_chs, nrow += xstep * n_chs)
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if (!isNan(srow) && !isNan(nrow))
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{
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Vec3d endp = Vec3d(srow) + Vec3d(nrow) * (double)scale;
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points->InsertNextPoint(srow);
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points->InsertNextPoint(endp.val);
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lines->InsertNextCell(2);
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lines->InsertCellPoint(total++);
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lines->InsertCellPoint(total++);
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}
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}
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}
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vtkSmartPointer<vtkPolyData> polyData = vtkSmartPointer<vtkPolyData>::New();
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@ -303,16 +243,17 @@ cv::viz::WCloudNormals::WCloudNormals(InputArray _cloud, InputArray _normals, in
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polyData->SetLines(lines);
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vtkSmartPointer<vtkDataSetMapper> mapper = vtkSmartPointer<vtkDataSetMapper>::New();
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mapper->SetColorModeToMapScalars();
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mapper->SetScalarModeToUsePointData();
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#if VTK_MAJOR_VERSION <= 5
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mapper->SetInput(polyData);
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#else
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mapper->SetInputData(polyData);
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#endif
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mapper->SetColorModeToMapScalars();
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mapper->SetScalarModeToUsePointData();
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vtkSmartPointer<vtkActor> actor = vtkSmartPointer<vtkActor>::New();
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actor->SetMapper(mapper);
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WidgetAccessor::setProp(*this, actor);
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setColor(color);
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}
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@ -170,6 +170,11 @@ namespace cv
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static VizMap storage;
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friend class Viz3d;
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};
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template<typename _Tp> bool isNan(const _Tp* data)
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{
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return isNan(data[0]) || isNan(data[1]) || isNan(data[2]);
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}
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}
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}
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@ -73,8 +73,8 @@ void cv::viz::vtkCloudMatSink::WriteData()
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CV_Assert(vtktype == VTK_FLOAT || vtktype == VTK_DOUBLE);
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cloud.create(1, points_Data->GetNumberOfPoints(), vtktype == VTK_FLOAT ? CV_32FC3 : CV_64FC3);
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Vec3d *ddata = (Vec3d*)cloud.getMat().ptr();
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Vec3f *fdata = (Vec3f*)cloud.getMat().ptr();
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Vec3d *ddata = cloud.getMat().ptr<Vec3d>();
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Vec3f *fdata = cloud.getMat().ptr<Vec3f>();
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if (cloud.depth() == CV_32F)
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for(size_t i = 0; i < cloud.total(); ++i)
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@ -48,11 +48,6 @@ namespace cv { namespace viz
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{
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vtkStandardNewMacro(vtkCloudMatSource);
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template<typename _Tp> bool isNan(const _Tp* data)
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{
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return isNan(data[0]) || isNan(data[1]) || isNan(data[2]);
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}
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template<typename _Tp> struct VtkDepthTraits;
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template<> struct VtkDepthTraits<float>
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@ -190,7 +185,7 @@ void cv::viz::vtkCloudMatSource::filterNanColorsCopy(const Mat& cloud_colors, co
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for (int y = 0; y < cloud_colors.rows; ++y)
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{
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const unsigned char* srow = cloud_colors.ptr<unsigned char>(y);
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const unsigned char* send = srow + cloud_colors.cols * cloud_colors.channels();
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const unsigned char* send = srow + cloud_colors.cols * s_chs;
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const _Msk* mrow = mask.ptr<_Msk>(y);
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if (cloud_colors.channels() == 1)
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@ -120,6 +120,20 @@ TEST(Viz, DISABLED_show_mesh_random_colors)
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viz.spin();
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}
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TEST(Viz, DISABLED_show_sampled_normals)
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{
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Mesh3d mesh = Mesh3d::load(get_dragon_ply_file_path());
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computeNormals(mesh, mesh.normals);
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Affine3d pose = Affine3d().rotate(Vec3d(0, 0.8, 0));
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Viz3d viz("show_sampled_normals");
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viz.showWidget("mesh", WMesh(mesh), pose);
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viz.showWidget("normals", WCloudNormals(mesh.cloud, mesh.normals, 30, 0.1f, Color::green()), pose);
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viz.setRenderingProperty("normals", LINE_WIDTH, 2.0);
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viz.spin();
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}
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TEST(Viz, DISABLED_spin_twice_____________________________TODO_UI_BUG)
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{
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Mesh3d mesh = Mesh3d::load(get_dragon_ply_file_path());
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@ -130,4 +144,3 @@ TEST(Viz, DISABLED_spin_twice_____________________________TODO_UI_BUG)
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viz.spin();
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viz.spin();
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}
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