thirdParty/PCL 1.12.0/include/pcl-1.12/pcl/visualization/simple_buffer_visualizer.h

226 lines
7.1 KiB
C++

#pragma once
#include <pcl/visualization/histogram_visualizer.h>
//#include <pcl/visualization/impl/simple_buffer_visualizer.hpp>
namespace pcl
{
namespace visualization
{
/** \brief PCL simple buffer visualizer main class.
* \note The idea is to offer a simple visualizer that stores and display the last X values as a curve.
* \note The class is based on PCLHistogramVisualizer and pcl::VFHSignature308 for display.
* \note Therefore, the number of values is limited to [2-308].
* \author Raphael Favier
* \ingroup visualization
*/
class PCL_EXPORTS PCLSimpleBufferVisualizer
{
public:
/** \brief PCL simple buffer visualizer visualizer default constructor. */
PCLSimpleBufferVisualizer ()
{
histo_ = new PCLHistogramVisualizer ();
nb_values_ = 308;
// init values buffer
initValuesAndVisualization();
}
/** \brief PCL simple buffer visualizer visualizer constructor.
* \param[in] nb_values the number of values stored in the buffer [2 - 308]
*/
PCLSimpleBufferVisualizer (const int nb_values)
{
histo_ = new PCLHistogramVisualizer ();
nb_values_ = nb_values;
if(nb_values_ > 308)
{
PCL_WARN("Maximum number of values can only be 308 (%d given). Setting back to 308. \n");
nb_values_ = 308;
}
if(nb_values_ <= 1)
{
PCL_WARN("Number of values must be at least 2 (%d given). Setting it to default (308). \n");
nb_values_ = 308;
}
// init values buffer
initValuesAndVisualization();
}
/** \brief force display of values.
* \param[in] time - How long (in ms) should the visualization loop be allowed to run
*/
void
displayValues (const int time = 1)
{
// load values into cloud
updateValuesToDisplay();
// check if we need to automatically handle the background color
if(control_background_color_)
{
if(values_.back() < lowest_threshold_)
{
histo_->setBackgroundColor(255.0, 140.0, 0.0);
}
else
{
histo_->setBackgroundColor(255.0, 255.0, 255.0);
}
}
// add cloud to the visualizer
histo_->updateFeatureHistogram(cloud_, nb_values_);
// check if we need to handle the Y scale ourselves
if (handle_y_scale_)
{
histo_->setGlobalYRange(min_, max_);
}
// spin once
spinOnce(time);
}
/** \brief add a new value at the end of the buffer.
* \param[in] val the float value to add.
*/
void
addValue (const float val)
{
// remove front value
values_.pop_front();
// push new value in the back
values_.push_back(val);
// udapte min_ and max_ values
if (val > max_)
max_ = val;
if (val < min_)
min_ = val;
}
/** \brief spinOnce method.
* \param[in] time - How long (in ms) should the visualization loop be allowed to run
*/
void
spinOnce (const int time = 1)
{
histo_->spinOnce(time);
}
/** \brief spin method. */
void
spin ()
{
histo_->spin();
}
/** \brief set background color handling mode.
* \note The point here is to change the background to orange when the latest value is under a threshold.
* \param[in] value if true, automatic mode is enabled. Else, background will be white
* \param[in] threshold value that triggers the background to turn orange if the latest value is lower
* \note This functionality does not work yet at time of commit (see http://dev.pointclouds.org/issues/829)
*/
void
setAutomaticBackgroundColorControl (const bool value = true, const float threshold = 0.0f)
{
control_background_color_ = value;
// if the user sets it back to false, we make sure to reset the bckgrd color to white
if(value == false)
histo_->setBackgroundColor(255.0, 255.0, 255.0);
lowest_threshold_ = threshold;
}
/** \brief set Y scale policy.
* \note If set to true, the minimal and maximal Y values are kept forever.
* \note If set to false, the Y scale is automatically adjusted to the current values (default).
* \param[in] value boolean that enable or disable this policy
*/
void
setManuallyManageYScale (const bool value = false)
{
handle_y_scale_ = value;
}
private:
/** \brief initialize the buffer that stores the values to zero.
* \note The size is set by private member nb_values_ which is in the range [2-308].
*/
void
initValuesAndVisualization ()
{
cloud_.resize(1);
PCL_WARN("Setting buffer size to %d entries.\n", nb_values_);
values_.resize(nb_values_);
// add the cloud to the histogram viewer
histo_->addFeatureHistogram(cloud_, nb_values_);
// init GUI-related variables
initGUIValues();
}
/** \brief pushes the values contained inside the buffer to the cloud used for visualization. */
void
updateValuesToDisplay ()
{
for(int i = 0 ; i < nb_values_ ; ++i)
{
cloud_[0].histogram[i] = values_[i];
}
}
/** \brief initialize private variables linked to the GUI */
void
initGUIValues ()
{
control_background_color_ = false;
lowest_threshold_ = 0.0f;
handle_y_scale_ = false;
min_ = -1.0f; // std::numeric_limits<float>::max( );
max_ = 1.0f; // std::numeric_limits<float>::min( );
}
/** \brief visualizer object */
PCLHistogramVisualizer *histo_;
/** \brief cloud used for visualization */
PointCloud<VFHSignature308> cloud_;
/** \brief buffer of values */
std::deque<float> values_;
/** \brief number of values stored in the buffer
* \note ([2-308])
*/
int nb_values_;
/** \brief boolean used to know if we need to change the background color in case of low values. */
bool control_background_color_;
/** \brief threshold to turn the background orange if latest value is lower. */
float lowest_threshold_;
/** \brief boolean used to know if we need to change the background color in case of low values. True means we do it ourselves. */
bool handle_y_scale_;
/** \brief float tracking the minimal and maximal values ever observed. */
float min_, max_;
};
}
}