mirror of https://github.com/opencv/opencv.git
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d6e2b657f9
14 changed files with 483 additions and 663 deletions
@ -1,113 +0,0 @@ |
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#pragma once |
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#include <string> |
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#include <opencv2/viz/types.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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class KeyboardEvent |
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{ |
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public: |
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static const unsigned int Alt = 1; |
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static const unsigned int Ctrl = 2; |
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static const unsigned int Shift = 4; |
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/** \brief Constructor
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* \param[in] action true for key was pressed, false for released |
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* \param[in] key_sym the key-name that caused the action |
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* \param[in] key the key code that caused the action |
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* \param[in] alt whether the alt key was pressed at the time where this event was triggered |
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* \param[in] ctrl whether the ctrl was pressed at the time where this event was triggered |
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* \param[in] shift whether the shift was pressed at the time where this event was triggered |
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*/ |
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KeyboardEvent (bool action, const std::string& key_sym, unsigned char key, bool alt, bool ctrl, bool shift); |
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bool isAltPressed () const; |
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bool isCtrlPressed () const; |
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bool isShiftPressed () const; |
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unsigned char getKeyCode () const; |
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const String& getKeySym () const; |
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bool keyDown () const; |
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bool keyUp () const; |
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protected: |
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bool action_; |
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unsigned int modifiers_; |
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unsigned char key_code_; |
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String key_sym_; |
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}; |
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class MouseEvent |
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{ |
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public: |
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enum Type |
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{ |
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MouseMove = 1, |
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MouseButtonPress, |
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MouseButtonRelease, |
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MouseScrollDown, |
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MouseScrollUp, |
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MouseDblClick |
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} ; |
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enum MouseButton |
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{ |
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NoButton = 0, |
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LeftButton, |
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MiddleButton, |
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RightButton, |
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VScroll /*other buttons, scroll wheels etc. may follow*/ |
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} ; |
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MouseEvent (const Type& type, const MouseButton& button, const Point& p, bool alt, bool ctrl, bool shift); |
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Type type; |
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MouseButton button; |
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Point pointer; |
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unsigned int key_state; |
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}; |
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} |
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} |
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////////////////////////////////////////////////////////////////////
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/// Implementation
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inline cv::viz::KeyboardEvent::KeyboardEvent (bool _action, const std::string& _key_sym, unsigned char key, bool alt, bool ctrl, bool shift) |
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: action_ (_action), modifiers_ (0), key_code_(key), key_sym_ (_key_sym) |
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{ |
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if (alt) |
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modifiers_ = Alt; |
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if (ctrl) |
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modifiers_ |= Ctrl; |
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if (shift) |
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modifiers_ |= Shift; |
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} |
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inline bool cv::viz::KeyboardEvent::isAltPressed () const { return (modifiers_ & Alt) != 0; } |
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inline bool cv::viz::KeyboardEvent::isCtrlPressed () const { return (modifiers_ & Ctrl) != 0; } |
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inline bool cv::viz::KeyboardEvent::isShiftPressed () const { return (modifiers_ & Shift) != 0; } |
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inline unsigned char cv::viz::KeyboardEvent::getKeyCode () const { return key_code_; } |
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inline const cv::String& cv::viz::KeyboardEvent::getKeySym () const { return key_sym_; } |
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inline bool cv::viz::KeyboardEvent::keyDown () const { return action_; } |
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inline bool cv::viz::KeyboardEvent::keyUp () const { return !action_; } |
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inline cv::viz::MouseEvent::MouseEvent (const Type& _type, const MouseButton& _button, const Point& _p, bool alt, bool ctrl, bool shift) |
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: type(_type), button(_button), pointer(_p), key_state(0) |
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{ |
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if (alt) |
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key_state = KeyboardEvent::Alt; |
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if (ctrl) |
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key_state |= KeyboardEvent::Ctrl; |
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if (shift) |
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key_state |= KeyboardEvent::Shift; |
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} |
@ -0,0 +1,313 @@ |
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#include "precomp.hpp" |
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///////////////////////////////////////////////////////////////////////////////////////////////
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/// Point Cloud Widget implementation
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struct cv::viz::CloudWidget::CreateCloudWidget |
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{ |
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static inline vtkSmartPointer<vtkPolyData> create(const Mat &cloud, vtkIdType &nr_points) |
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{ |
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vtkSmartPointer<vtkPolyData> polydata = vtkSmartPointer<vtkPolyData>::New (); |
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vtkSmartPointer<vtkCellArray> vertices = vtkSmartPointer<vtkCellArray>::New (); |
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polydata->SetVerts (vertices); |
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vtkSmartPointer<vtkPoints> points = polydata->GetPoints(); |
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vtkSmartPointer<vtkIdTypeArray> initcells; |
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nr_points = cloud.total(); |
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if (!points) |
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{ |
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points = vtkSmartPointer<vtkPoints>::New (); |
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if (cloud.depth() == CV_32F) |
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points->SetDataTypeToFloat(); |
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else if (cloud.depth() == CV_64F) |
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points->SetDataTypeToDouble(); |
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polydata->SetPoints (points); |
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} |
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points->SetNumberOfPoints (nr_points); |
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if (cloud.depth() == CV_32F) |
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{ |
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// Get a pointer to the beginning of the data array
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Vec3f *data_beg = vtkpoints_data<float>(points); |
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Vec3f *data_end = NanFilter::copy(cloud, data_beg, cloud); |
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nr_points = data_end - data_beg; |
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} |
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else if (cloud.depth() == CV_64F) |
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{ |
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// Get a pointer to the beginning of the data array
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Vec3d *data_beg = vtkpoints_data<double>(points); |
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Vec3d *data_end = NanFilter::copy(cloud, data_beg, cloud); |
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nr_points = data_end - data_beg; |
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} |
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points->SetNumberOfPoints (nr_points); |
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// Update cells
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vtkSmartPointer<vtkIdTypeArray> cells = vertices->GetData (); |
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// If no init cells and cells has not been initialized...
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if (!cells) |
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cells = vtkSmartPointer<vtkIdTypeArray>::New (); |
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// If we have less values then we need to recreate the array
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if (cells->GetNumberOfTuples () < nr_points) |
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{ |
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cells = vtkSmartPointer<vtkIdTypeArray>::New (); |
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// If init cells is given, and there's enough data in it, use it
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if (initcells && initcells->GetNumberOfTuples () >= nr_points) |
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{ |
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cells->DeepCopy (initcells); |
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cells->SetNumberOfComponents (2); |
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cells->SetNumberOfTuples (nr_points); |
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} |
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else |
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{ |
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// If the number of tuples is still too small, we need to recreate the array
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cells->SetNumberOfComponents (2); |
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cells->SetNumberOfTuples (nr_points); |
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vtkIdType *cell = cells->GetPointer (0); |
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// Fill it with 1s
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std::fill_n (cell, nr_points * 2, 1); |
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cell++; |
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for (vtkIdType i = 0; i < nr_points; ++i, cell += 2) |
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*cell = i; |
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// Save the results in initcells
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initcells = vtkSmartPointer<vtkIdTypeArray>::New (); |
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initcells->DeepCopy (cells); |
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} |
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} |
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else |
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{ |
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// The assumption here is that the current set of cells has more data than needed
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cells->SetNumberOfComponents (2); |
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cells->SetNumberOfTuples (nr_points); |
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} |
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// Set the cells and the vertices
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vertices->SetCells (nr_points, cells); |
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return polydata; |
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} |
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}; |
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cv::viz::CloudWidget::CloudWidget(InputArray _cloud, InputArray _colors) |
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{ |
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Mat cloud = _cloud.getMat(); |
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Mat colors = _colors.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(colors.type() == CV_8UC3 && cloud.size() == colors.size()); |
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if (cloud.isContinuous() && colors.isContinuous()) |
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{ |
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cloud.reshape(cloud.channels(), 1); |
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colors.reshape(colors.channels(), 1); |
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} |
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vtkIdType nr_points; |
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vtkSmartPointer<vtkPolyData> polydata = CreateCloudWidget::create(cloud, nr_points); |
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// Filter colors
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Vec3b* colors_data = new Vec3b[nr_points]; |
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NanFilter::copy(colors, colors_data, cloud); |
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vtkSmartPointer<vtkUnsignedCharArray> scalars = vtkSmartPointer<vtkUnsignedCharArray>::New (); |
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scalars->SetNumberOfComponents (3); |
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scalars->SetNumberOfTuples (nr_points); |
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scalars->SetArray (colors_data->val, 3 * nr_points, 0); |
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// Assign the colors
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polydata->GetPointData ()->SetScalars (scalars); |
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vtkSmartPointer<vtkDataSetMapper> mapper = vtkSmartPointer<vtkDataSetMapper>::New (); |
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mapper->SetInput (polydata); |
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Vec3d minmax(scalars->GetRange()); |
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mapper->SetScalarRange(minmax.val); |
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mapper->SetScalarModeToUsePointData (); |
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bool interpolation = (polydata && polydata->GetNumberOfCells () != polydata->GetNumberOfVerts ()); |
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mapper->SetInterpolateScalarsBeforeMapping (interpolation); |
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mapper->ScalarVisibilityOn (); |
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mapper->ImmediateModeRenderingOff (); |
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vtkSmartPointer<vtkLODActor> actor = vtkSmartPointer<vtkLODActor>::New(); |
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actor->SetNumberOfCloudPoints (int (std::max<vtkIdType> (1, polydata->GetNumberOfPoints () / 10))); |
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actor->GetProperty ()->SetInterpolationToFlat (); |
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actor->GetProperty ()->BackfaceCullingOn (); |
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actor->SetMapper (mapper); |
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WidgetAccessor::setProp(*this, actor); |
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} |
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cv::viz::CloudWidget::CloudWidget(InputArray _cloud, const Color &color) |
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{ |
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Mat cloud = _cloud.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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vtkIdType nr_points; |
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vtkSmartPointer<vtkPolyData> polydata = CreateCloudWidget::create(cloud, nr_points); |
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vtkSmartPointer<vtkDataSetMapper> mapper = vtkSmartPointer<vtkDataSetMapper>::New (); |
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mapper->SetInput (polydata); |
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bool interpolation = (polydata && polydata->GetNumberOfCells () != polydata->GetNumberOfVerts ()); |
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mapper->SetInterpolateScalarsBeforeMapping (interpolation); |
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mapper->ScalarVisibilityOff (); |
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mapper->ImmediateModeRenderingOff (); |
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vtkSmartPointer<vtkLODActor> actor = vtkSmartPointer<vtkLODActor>::New(); |
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actor->SetNumberOfCloudPoints (int (std::max<vtkIdType> (1, polydata->GetNumberOfPoints () / 10))); |
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actor->GetProperty ()->SetInterpolationToFlat (); |
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actor->GetProperty ()->BackfaceCullingOn (); |
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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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template<> cv::viz::CloudWidget cv::viz::Widget::cast<cv::viz::CloudWidget>() |
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{ |
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Widget3D widget = this->cast<Widget3D>(); |
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return static_cast<CloudWidget&>(widget); |
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} |
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///////////////////////////////////////////////////////////////////////////////////////////////
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/// Cloud Normals Widget implementation
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struct cv::viz::CloudNormalsWidget::ApplyCloudNormals |
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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 ApplyCloudNormals::Impl<_Tp>::applyOrganized(cloud, normals, level, scale, pts, nr_normals); |
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else |
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return ApplyCloudNormals::Impl<_Tp>::applyUnorganized(cloud, normals, level, scale, pts, nr_normals); |
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} |
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}; |
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cv::viz::CloudNormalsWidget::CloudNormalsWidget(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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vtkSmartPointer<vtkPoints> points = vtkSmartPointer<vtkPoints>::New(); |
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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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{ |
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points->SetDataTypeToFloat(); |
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vtkSmartPointer<vtkFloatArray> data = vtkSmartPointer<vtkFloatArray>::New (); |
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data->SetNumberOfComponents (3); |
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float* pts = 0; |
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lines = ApplyCloudNormals::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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vtkSmartPointer<vtkDoubleArray> data = vtkSmartPointer<vtkDoubleArray>::New (); |
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data->SetNumberOfComponents (3); |
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double* pts = 0; |
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lines = ApplyCloudNormals::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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vtkSmartPointer<vtkPolyData> polyData = vtkSmartPointer<vtkPolyData>::New(); |
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polyData->SetPoints (points); |
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polyData->SetLines (lines); |
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vtkSmartPointer<vtkDataSetMapper> mapper = vtkSmartPointer<vtkDataSetMapper>::New (); |
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mapper->SetInput (polyData); |
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mapper->SetColorModeToMapScalars(); |
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mapper->SetScalarModeToUsePointData(); |
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vtkSmartPointer<vtkLODActor> actor = vtkSmartPointer<vtkLODActor>::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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template<> cv::viz::CloudNormalsWidget cv::viz::Widget::cast<cv::viz::CloudNormalsWidget>() |
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{ |
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Widget3D widget = this->cast<Widget3D>(); |
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return static_cast<CloudNormalsWidget&>(widget); |
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} |
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