Letting the compiler auto-deduce template parameters

PointCloudLibrary · Sep 21, 2019 · 57dfb4d · 57dfb4d
1 parent be85ca2
commit 57dfb4d
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Showing 5 changed files with 8 additions and 8 deletions.
diff --git a/filters/include/pcl/filters/impl/morphological_filter.hpp b/filters/include/pcl/filters/impl/morphological_filter.hpp
@@ -61,7 +61,7 @@ pcl::applyMorphologicalOperator (const typename pcl::PointCloud<PointT>::ConstPt
   if (cloud_in->empty ())
     return;
 
-  pcl::copyPointCloud<PointT, PointT> (*cloud_in, cloud_out);
+  pcl::copyPointCloud (*cloud_in, cloud_out);
 
   pcl::octree::OctreePointCloudSearch<PointT> tree (resolution);
 
@@ -116,7 +116,7 @@ pcl::applyMorphologicalOperator (const typename pcl::PointCloud<PointT>::ConstPt
     {
       pcl::PointCloud<PointT> cloud_temp;
 
-      pcl::copyPointCloud<PointT, PointT> (*cloud_in, cloud_temp);
+      pcl::copyPointCloud (*cloud_in, cloud_temp);
 
       for (size_t p_idx = 0; p_idx < cloud_temp.points.size (); ++p_idx)
       {

diff --git a/keypoints/include/pcl/keypoints/impl/brisk_2d.hpp b/keypoints/include/pcl/keypoints/impl/brisk_2d.hpp
@@ -79,7 +79,7 @@ pcl::BriskKeypoint2D<PointInT, PointOutT, IntensityT>::detectKeypoints (PointClo
   brisk_scale_space.constructPyramid (image_data, width, height);
   pcl::PointCloud<pcl::PointWithScale> output_temp;
   brisk_scale_space.getKeypoints (threshold_, output_temp.points);
-  pcl::copyPointCloud<pcl::PointWithScale, PointOutT> (output_temp, output);
+  pcl::copyPointCloud (output_temp, output);
 
   // we do not change the denseness
   output.width = int (output.points.size ());

diff --git a/recognition/include/pcl/recognition/impl/cg/geometric_consistency.hpp b/recognition/include/pcl/recognition/impl/cg/geometric_consistency.hpp
@@ -79,7 +79,7 @@ pcl::GeometricConsistencyGrouping<PointModelT, PointSceneT>::clusterCorresponden
 
   //temp copy of scene cloud with the type cast to ModelT in order to use Ransac
   PointCloudPtr temp_scene_cloud_ptr (new PointCloud ());
-  pcl::copyPointCloud<PointSceneT, PointModelT> (*scene_, *temp_scene_cloud_ptr);
+  pcl::copyPointCloud (*scene_, *temp_scene_cloud_ptr);
 
   pcl::registration::CorrespondenceRejectorSampleConsensus<PointModelT> corr_rejector;
   corr_rejector.setMaximumIterations (10000);

diff --git a/recognition/include/pcl/recognition/impl/cg/hough_3d.hpp b/recognition/include/pcl/recognition/impl/cg/hough_3d.hpp
@@ -274,7 +274,7 @@ pcl::Hough3DGrouping<PointModelT, PointSceneT, PointModelRfT, PointSceneRfT>::cl
   // Insert maximas into result vector, after Ransac correspondence rejection
   // Temp copy of scene cloud with the type cast to ModelT in order to use Ransac
   PointCloudPtr temp_scene_cloud_ptr (new PointCloud);
-  pcl::copyPointCloud<PointSceneT, PointModelT> (*scene_, *temp_scene_cloud_ptr);
+  pcl::copyPointCloud (*scene_, *temp_scene_cloud_ptr);
 
   pcl::registration::CorrespondenceRejectorSampleConsensus<PointModelT> corr_rejector;
   corr_rejector.setMaximumIterations (10000);
@@ -355,7 +355,7 @@ pcl::Hough3DGrouping<PointModelT, PointSceneT, PointModelRfT, PointSceneRfT>::re
 
   //// Temp copy of scene cloud with the type cast to ModelT in order to use Ransac
   //PointCloudPtr temp_scene_cloud_ptr (new PointCloud);
-  //pcl::copyPointCloud<PointSceneT, PointModelT> (*scene_, *temp_scene_cloud_ptr);
+  //pcl::copyPointCloud (*scene_, *temp_scene_cloud_ptr);
 
   //for (size_t i = 0; i < model_instances.size (); ++i)
   //{

diff --git a/test/io/test_io.cpp b/test/io/test_io.cpp
@@ -1036,7 +1036,7 @@ TEST (PCL, CopyPointCloud)
     cloud_b.points[i].rgba = 255;
   }
 
-  pcl::copyPointCloud<pcl::PointXYZ, pcl::PointXYZRGBA> (cloud_a, cloud_b);
+  pcl::copyPointCloud (cloud_a, cloud_b);
 
   for (size_t i = 0; i < cloud_a.points.size (); ++i)
   {
@@ -1047,7 +1047,7 @@ TEST (PCL, CopyPointCloud)
     cloud_a.points[i].x = cloud_a.points[i].y = cloud_a.points[i].z = 0;
   }
 
-  pcl::copyPointCloud<pcl::PointXYZRGBA, pcl::PointXYZ> (cloud_b, cloud_a);
+  pcl::copyPointCloud (cloud_b, cloud_a);
 
   for (size_t i = 0; i < cloud_a.points.size (); ++i)
   {