/* * Software License Agreement (BSD License) * * Point Cloud Library (PCL) - www.pointclouds.org * Copyright (c) 2010-2011, Willow Garage, Inc. * Copyright (c) 2012-, Open Perception, Inc. * * All rights reserved. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions * are met: * * * Redistributions of source code must retain the above copyright * notice, this list of conditions and the following disclaimer. * * Redistributions 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. * * Neither the name of the copyright holder(s) nor the names of its * contributors may 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 * COPYRIGHT OWNER 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. * */ #ifndef PCL_PCL_HISTOGRAM_VISUALIZER_IMPL_H_ #define PCL_PCL_HISTOGRAM_VISUALIZER_IMPL_H_ #include namespace pcl { namespace visualization { template bool PCLHistogramVisualizer::addFeatureHistogram ( const pcl::PointCloud &cloud, int hsize, const std::string &id, int win_width, int win_height) { auto am_it = wins_.find (id); if (am_it != wins_.end ()) { PCL_WARN ("[addFeatureHistogram] A window with id <%s> already exists! Please choose a different id and retry.\n", id.c_str ()); return (false); } vtkSmartPointer xy_array = vtkSmartPointer::New (); xy_array->SetNumberOfComponents (2); xy_array->SetNumberOfTuples (hsize); // Parse the cloud data and store it in the array double xy[2]; for (int d = 0; d < hsize; ++d) { xy[0] = d; xy[1] = cloud[0].histogram[d]; xy_array->SetTuple (d, xy); } RenWinInteract renwinint; createActor (xy_array, renwinint, id, win_width, win_height); // Save the pointer/ID pair to the global window map wins_[id] = renwinint; return (true); } template bool PCLHistogramVisualizer::addFeatureHistogram ( const pcl::PointCloud &cloud, const std::string &field_name, const pcl::index_t index, const std::string &id, int win_width, int win_height) { if (index < 0 || index >= cloud.size ()) { PCL_ERROR ("[addFeatureHistogram] Invalid point index (%d) given!\n", index); return (false); } // Get the fields present in this cloud std::vector fields; // Check if our field exists int field_idx = pcl::getFieldIndex (cloud, field_name, fields); if (field_idx == -1) { PCL_ERROR ("[addFeatureHistogram] The specified field <%s> does not exist!\n", field_name.c_str ()); return (false); } auto am_it = wins_.find (id); if (am_it != wins_.end ()) { PCL_WARN ("[addFeatureHistogram] A window with id <%s> already exists! Please choose a different id and retry.\n", id.c_str ()); return (false); } vtkSmartPointer xy_array = vtkSmartPointer::New (); xy_array->SetNumberOfComponents (2); xy_array->SetNumberOfTuples (fields[field_idx].count); // Parse the cloud data and store it in the array double xy[2]; for (uindex_t d = 0; d < fields[field_idx].count; ++d) { xy[0] = d; //xy[1] = cloud[index].histogram[d]; float data; memcpy (&data, reinterpret_cast (&cloud[index]) + fields[field_idx].offset + d * sizeof (float), sizeof (float)); xy[1] = data; xy_array->SetTuple (d, xy); } RenWinInteract renwinint; createActor (xy_array, renwinint, id, win_width, win_height); // Save the pointer/ID pair to the global window map wins_[id] = renwinint; return (true); } template bool PCLHistogramVisualizer::updateFeatureHistogram ( const pcl::PointCloud &cloud, int hsize, const std::string &id) { auto am_it = wins_.find (id); if (am_it == wins_.end ()) { PCL_WARN ("[updateFeatureHistogram] A window with id <%s> does not exists!.\n", id.c_str ()); return (false); } RenWinInteract* renwinupd = &wins_[id]; vtkSmartPointer xy_array = vtkSmartPointer::New (); xy_array->SetNumberOfComponents (2); xy_array->SetNumberOfTuples (hsize); // Parse the cloud data and store it in the array double xy[2]; for (int d = 0; d < hsize; ++d) { xy[0] = d; xy[1] = cloud[0].histogram[d]; xy_array->SetTuple (d, xy); } reCreateActor (xy_array, renwinupd, hsize); return (true); } template bool PCLHistogramVisualizer::updateFeatureHistogram ( const pcl::PointCloud &cloud, const std::string &field_name, const pcl::index_t index, const std::string &id) { if (index < 0 || index >= cloud.size ()) { PCL_ERROR ("[updateFeatureHistogram] Invalid point index (%d) given!\n", index); return (false); } // Get the fields present in this cloud std::vector fields; // Check if our field exists int field_idx = pcl::getFieldIndex (cloud, field_name, fields); if (field_idx == -1) { PCL_ERROR ("[updateFeatureHistogram] The specified field <%s> does not exist!\n", field_name.c_str ()); return (false); } auto am_it = wins_.find (id); if (am_it == wins_.end ()) { PCL_WARN ("[updateFeatureHistogram] A window with id <%s> does not exists!.\n", id.c_str ()); return (false); } RenWinInteract* renwinupd = &wins_[id]; vtkSmartPointer xy_array = vtkSmartPointer::New (); xy_array->SetNumberOfComponents (2); xy_array->SetNumberOfTuples (fields[field_idx].count); // Parse the cloud data and store it in the array double xy[2]; for (std::uint32_t d = 0; d < fields[field_idx].count; ++d) { xy[0] = d; //xy[1] = cloud[index].histogram[d]; float data; memcpy (&data, reinterpret_cast (&cloud[index]) + fields[field_idx].offset + d * sizeof (float), sizeof (float)); xy[1] = data; xy_array->SetTuple (d, xy); } reCreateActor (xy_array, renwinupd, cloud.fields[field_idx].count - 1); return (true); } } // namespace visualization } // namespace pcl #endif