mirror/opencv
1
0
Fork 0
mirror of https://github.com/opencv/opencv.git synced 2024-11-25 03:30:34 +08:00
Code Issues Actions Packages Projects Releases Wiki Activity

refactored CloudNormals and added test for it

Browse Source
This commit is contained in:
Anatoly Baksheev 2014-01-07 10:53:04 +04:00
parent b7cb3fe8e0
commit cd57c4e189
6 changed files with 72 additions and 118 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
modules/viz/include/opencv2/viz/types.hpp
View File

@ -108,7 +108,7 @@ namespace cv
{
public:
Mat cloud, colors;
Mat cloud, colors, normals;
Mat polygons;
//! Loads mesh from a given ply file

153
modules/viz/src/clouds.cpp
View File

@ -45,14 +45,6 @@
#include "precomp.hpp"
namespace cv
{
namespace viz
{
template<typename _Tp> Vec<_Tp, 3>* vtkpoints_data(vtkSmartPointer<vtkPoints>& points);
}
}
///////////////////////////////////////////////////////////////////////////////////////////////
/// Point Cloud Widget implementation
@ -183,119 +175,67 @@ template<> cv::viz::WCloudCollection cv::viz::Widget::cast<cv::viz::WCloudCollec
///////////////////////////////////////////////////////////////////////////////////////////////
/// Cloud Normals Widget implementation
namespace cv { namespace viz { namespace
{
struct CloudNormalsUtils
{
template<typename _Tp>
struct Impl
{
static vtkSmartPointer<vtkCellArray> applyOrganized(const Mat &cloud, const Mat& normals, double level, float scale, _Tp *&pts, vtkIdType &nr_normals)
{
vtkIdType point_step = static_cast<vtkIdType>(std::sqrt(level));
nr_normals = (static_cast<vtkIdType>((cloud.cols - 1) / point_step) + 1) *
(static_cast<vtkIdType>((cloud.rows - 1) / point_step) + 1);
vtkSmartPointer<vtkCellArray> lines = vtkSmartPointer<vtkCellArray>::New();
pts = new _Tp[2 * nr_normals * 3];
int cch = cloud.channels();
vtkIdType cell_count = 0;
for (vtkIdType y = 0; y < cloud.rows; y += point_step)
{
const _Tp *prow = cloud.ptr<_Tp>(y);
const _Tp *nrow = normals.ptr<_Tp>(y);
for (vtkIdType x = 0; x < cloud.cols; x += point_step * cch)
{
pts[2 * cell_count * 3 + 0] = prow[x];
pts[2 * cell_count * 3 + 1] = prow[x+1];
pts[2 * cell_count * 3 + 2] = prow[x+2];
pts[2 * cell_count * 3 + 3] = prow[x] + nrow[x] * scale;
pts[2 * cell_count * 3 + 4] = prow[x+1] + nrow[x+1] * scale;
pts[2 * cell_count * 3 + 5] = prow[x+2] + nrow[x+2] * scale;
lines->InsertNextCell(2);
lines->InsertCellPoint(2 * cell_count);
lines->InsertCellPoint(2 * cell_count + 1);
cell_count++;
}
}
return lines;
}
static vtkSmartPointer<vtkCellArray> applyUnorganized(const Mat &cloud, const Mat& normals, int level, float scale, _Tp *&pts, vtkIdType &nr_normals)
{
vtkSmartPointer<vtkCellArray> lines = vtkSmartPointer<vtkCellArray>::New();
nr_normals = (cloud.size().area() - 1) / level + 1 ;
pts = new _Tp[2 * nr_normals * 3];
int cch = cloud.channels();
const _Tp *p = cloud.ptr<_Tp>();
const _Tp *n = normals.ptr<_Tp>();
for (vtkIdType i = 0, j = 0; j < nr_normals; j++, i = j * level * cch)
{
pts[2 * j * 3 + 0] = p[i];
pts[2 * j * 3 + 1] = p[i+1];
pts[2 * j * 3 + 2] = p[i+2];
pts[2 * j * 3 + 3] = p[i] + n[i] * scale;
pts[2 * j * 3 + 4] = p[i+1] + n[i+1] * scale;
pts[2 * j * 3 + 5] = p[i+2] + n[i+2] * scale;
lines->InsertNextCell(2);
lines->InsertCellPoint(2 * j);
lines->InsertCellPoint(2 * j + 1);
}
return lines;
}
};
template<typename _Tp>
static inline vtkSmartPointer<vtkCellArray> apply(const Mat &cloud, const Mat& normals, int level, float scale, _Tp *&pts, vtkIdType &nr_normals)
{
if (cloud.cols > 1 && cloud.rows > 1)
return CloudNormalsUtils::Impl<_Tp>::applyOrganized(cloud, normals, level, scale, pts, nr_normals);
else
return CloudNormalsUtils::Impl<_Tp>::applyUnorganized(cloud, normals, level, scale, pts, nr_normals);
}
};
}}}
cv::viz::WCloudNormals::WCloudNormals(InputArray _cloud, InputArray _normals, int level, float scale, const Color &color)
{
Mat cloud = _cloud.getMat();
Mat normals = _normals.getMat();
CV_Assert(cloud.type() == CV_32FC3 || cloud.type() == CV_64FC3 || cloud.type() == CV_32FC4 || cloud.type() == CV_64FC4);
CV_Assert(cloud.size() == normals.size() && cloud.type() == normals.type());
vtkSmartPointer<vtkPoints> points = vtkSmartPointer<vtkPoints>::New();
vtkSmartPointer<vtkCellArray> lines = vtkSmartPointer<vtkCellArray>::New();
vtkIdType nr_normals = 0;
int sqlevel = (int)std::sqrt((double)level);
int ystep = (cloud.cols > 1 && cloud.rows > 1) ? sqlevel : 1;
int xstep = (cloud.cols > 1 && cloud.rows > 1) ? sqlevel : level;
vtkSmartPointer<vtkPoints> points = vtkSmartPointer<vtkPoints>::New();
points->SetDataType(cloud.depth() == CV_32F ? VTK_FLOAT : VTK_DOUBLE);
vtkSmartPointer<vtkCellArray> lines = vtkSmartPointer<vtkCellArray>::New();
int s_chs = cloud.channels();
int n_chs = normals.channels();
int total = 0;
for(int y = 0; y < cloud.rows; y += ystep)
{
if (cloud.depth() == CV_32F)
{
points->SetDataTypeToFloat();
const float *srow = cloud.ptr<float>(y);
const float *send = srow + cloud.cols * s_chs;
const float *nrow = normals.ptr<float>(y);
vtkSmartPointer<vtkFloatArray> data = vtkSmartPointer<vtkFloatArray>::New();
data->SetNumberOfComponents(3);
for (; srow < send; srow += xstep * s_chs, nrow += xstep * n_chs)
if (!isNan(srow) && !isNan(nrow))
{
Vec3f endp = Vec3f(srow) + Vec3f(nrow) * scale;
float* pts = 0;
lines = CloudNormalsUtils::apply(cloud, normals, level, scale, pts, nr_normals);
data->SetArray(&pts[0], 2 * nr_normals * 3, 0);
points->SetData(data);
points->InsertNextPoint(srow);
points->InsertNextPoint(endp.val);
lines->InsertNextCell(2);
lines->InsertCellPoint(total++);
lines->InsertCellPoint(total++);
}
}
else
{
points->SetDataTypeToDouble();
const double *srow = cloud.ptr<double>(y);
const double *send = srow + cloud.cols * s_chs;
const double *nrow = normals.ptr<double>(y);
vtkSmartPointer<vtkDoubleArray> data = vtkSmartPointer<vtkDoubleArray>::New();
data->SetNumberOfComponents(3);
for (; srow < send; srow += xstep * s_chs, nrow += xstep * n_chs)
if (!isNan(srow) && !isNan(nrow))
{
Vec3d endp = Vec3d(srow) + Vec3d(nrow) * (double)scale;
double* pts = 0;
lines = CloudNormalsUtils::apply(cloud, normals, level, scale, pts, nr_normals);
data->SetArray(&pts[0], 2 * nr_normals * 3, 0);
points->SetData(data);
points->InsertNextPoint(srow);
points->InsertNextPoint(endp.val);
lines->InsertNextCell(2);
lines->InsertCellPoint(total++);
lines->InsertCellPoint(total++);
}
}
}
vtkSmartPointer<vtkPolyData> polyData = vtkSmartPointer<vtkPolyData>::New();
@ -303,16 +243,17 @@ cv::viz::WCloudNormals::WCloudNormals(InputArray _cloud, InputArray _normals, in
polyData->SetLines(lines);
vtkSmartPointer<vtkDataSetMapper> mapper = vtkSmartPointer<vtkDataSetMapper>::New();
mapper->SetColorModeToMapScalars();
mapper->SetScalarModeToUsePointData();
#if VTK_MAJOR_VERSION <= 5
mapper->SetInput(polyData);
#else
mapper->SetInputData(polyData);
#endif
mapper->SetColorModeToMapScalars();
mapper->SetScalarModeToUsePointData();
vtkSmartPointer<vtkActor> actor = vtkSmartPointer<vtkActor>::New();
actor->SetMapper(mapper);
WidgetAccessor::setProp(*this, actor);
setColor(color);
}

5
modules/viz/src/precomp.hpp
View File

@ -170,6 +170,11 @@ namespace cv
static VizMap storage;
friend class Viz3d;
};
template<typename _Tp> bool isNan(const _Tp* data)
{
return isNan(data[0]) || isNan(data[1]) || isNan(data[2]);
}
}
}

4
modules/viz/src/vtk/vtkCloudMatSink.cpp
View File

@ -73,8 +73,8 @@ void cv::viz::vtkCloudMatSink::WriteData()
CV_Assert(vtktype == VTK_FLOAT || vtktype == VTK_DOUBLE);
cloud.create(1, points_Data->GetNumberOfPoints(), vtktype == VTK_FLOAT ? CV_32FC3 : CV_64FC3);
Vec3d *ddata = (Vec3d*)cloud.getMat().ptr();
Vec3f *fdata = (Vec3f*)cloud.getMat().ptr();
Vec3d *ddata = cloud.getMat().ptr<Vec3d>();
Vec3f *fdata = cloud.getMat().ptr<Vec3f>();
if (cloud.depth() == CV_32F)
for(size_t i = 0; i < cloud.total(); ++i)

7
modules/viz/src/vtk/vtkCloudMatSource.cpp
View File

@ -48,11 +48,6 @@ namespace cv { namespace viz
{
vtkStandardNewMacro(vtkCloudMatSource);
template<typename _Tp> bool isNan(const _Tp* data)
{
return isNan(data[0]) || isNan(data[1]) || isNan(data[2]);
}
template<typename _Tp> struct VtkDepthTraits;
template<> struct VtkDepthTraits<float>
@ -190,7 +185,7 @@ void cv::viz::vtkCloudMatSource::filterNanColorsCopy(const Mat& cloud_colors, co
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 * cloud_colors.channels();
const unsigned char* send = srow + cloud_colors.cols * s_chs;
const _Msk* mrow = mask.ptr<_Msk>(y);
if (cloud_colors.channels() == 1)

15
modules/viz/test/tests_simple.cpp
View File

@ -120,6 +120,20 @@ TEST(Viz, DISABLED_show_mesh_random_colors)
viz.spin();
}
TEST(Viz, DISABLED_show_sampled_normals)
{
Mesh3d mesh = Mesh3d::load(get_dragon_ply_file_path());
computeNormals(mesh, mesh.normals);
Affine3d pose = Affine3d().rotate(Vec3d(0, 0.8, 0));
Viz3d viz("show_sampled_normals");
viz.showWidget("mesh", WMesh(mesh), pose);
viz.showWidget("normals", WCloudNormals(mesh.cloud, mesh.normals, 30, 0.1f, Color::green()), pose);
viz.setRenderingProperty("normals", LINE_WIDTH, 2.0);
viz.spin();
}
TEST(Viz, DISABLED_spin_twice_____________________________TODO_UI_BUG)
{
Mesh3d mesh = Mesh3d::load(get_dragon_ply_file_path());
@ -130,4 +144,3 @@ TEST(Viz, DISABLED_spin_twice_____________________________TODO_UI_BUG)
viz.spin();
viz.spin();
}