Best practices to pass pcl::PointCloud to a function

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I am trying to pass a point cloud to a function. Since the point cloud data is huge, I don't want the compiler to make a copy of it while passing. Hence I passed the reference of it as shown below-



void box_filter(pcl::PointCloud<pcl::PointXYZRGB>& in_cloud, pcl::PointCloud<pcl::PointXYZRGB>& out_cloud)

 pcl::CropBox<pcl::PointXYZRGB> filter;
 filter.setMin(Eigen::Vector4f(x_min, y_min, z_min, 1.0));
 filter.setMax(Eigen::Vector4f(x_max, y_max, z_max, 1.0));
 filter.setInputCloud(in_cloud);
 filter.filter(out_cloud);



I defined the point clouds as following-



pcl::PointCloud<pcl::PointXYZRGB> raw_cloud, filterd_cloud;


Later, I am visualizing the filtered cloud using PCLVisualizer. Please see the code snippet-



pcl::PointCloud<pcl::PointXYZRGB> raw_cloud, filterd_cloud;
pcl::io::loadPCDFile(pcd_filename, raw_cloud);
box_filter(raw_cloud, filterd_cloud);
pcl::visualization::PCLVisualizer viewer("Cloud Viewer");
viewer.addPointCloud(filterd_cloud, "filterd_cloud");
viewer.spin();


Unfortunately, the code throws following compilation errors-



In function ‘void box_filter(pcl::PointCloud<pcl::PointXYZRGB>&, pcl::PointCloud<pcl::PointXYZRGB>&)’:
error: no matching function for call to ‘pcl::CropBox<pcl::PointXYZRGB>::setInputCloud(pcl::PointCloud<pcl::PointXYZRGB>&)’
 filter.setInputCloud(in_cloud);
 ^
candidate is: void pcl::PCLBase<PointT>::setInputCloud(const PointCloudConstPtr&) [with PointT = pcl::PointXYZRGB; pcl::PCLBase<PointT>::PointCloudConstPtr = boost::shared_ptr<const pcl::PointCloud<pcl::PointXYZRGB> >]
 setInputCloud (const PointCloudConstPtr &cloud);
 ^
error: no matching function for call to ‘pcl::visualization::PCLVisualizer::addPointCloud(pcl::PointCloud<pcl::PointXYZRGB>&, const char [14])’
 viewer.addPointCloud(filterd_cloud, "filterd_cloud");
 ^
candidates are: template<class PointT> bool pcl::visualization::PCLVisualizer::addPointCloud(const typename pcl::PointCloud<PointT>::ConstPtr&, const string&, int)
 addPointCloud (const typename pcl::PointCloud<PointT>::ConstPtr &cloud,
 ^


It is clear that there is a mismatch between datatype as it is expecting for pcl::PointCloud<PointT>::ConstPtr instead of pcl::PointCloud<PointT>.



I modified the code as shown below-



void box_filter(pcl::PointCloud<pcl::PointXYZRGB>::Ptr in_cloud, pcl::PointCloud<pcl::PointXYZRGB>::Ptr out_cloud)

 pcl::CropBox<pcl::PointXYZRGB> filter;
 filter.setMin(Eigen::Vector4f(x_min, y_min, z_min, 1.0));
 filter.setMax(Eigen::Vector4f(x_max, y_max, z_max, 1.0));
 filter.setInputCloud(in_cloud);
 filter.filter(*out_cloud);



and this too-



pcl::PointCloud<pcl::PointXYZRGB>::Ptr raw_cloud (new pcl::PointCloud<pcl::PointXYZRGB>);
pcl::PointCloud<pcl::PointXYZRGB>::Ptr filterd_cloud (new pcl::PointCloud<pcl::PointXYZRGB>);
pcl::io::loadPCDFile(pcd_filename, *raw_cloud);
box_filter(raw_cloud, filterd_cloud);
pcl::visualization::PCLVisualizer viewer("Cloud Viewer");
viewer.addPointCloud(filterd_cloud, "filterd_cloud");
viewer.spin();


It works but Is it fine?
I am looking for best practices while dealing with pcl::PointCloud<PointT> as it is making use of Boost Pointers.




c++ boost




share|improve this question















  • 1




    That isn't a problem of best practices. You have to respect the library function signature, which asks for a pointer. Pointers and references have their pros and cons, but the choice was made for you by the library's author. Neither copies the data, luckily for you :-)
    – papagaga
    Feb 9 at 8:50










  • @papagaga: respect library function signature ... that's what I want to know. I used Ptr shown above in the code but it that fine? Thanks!
    – Ravi Joshi
    Feb 9 at 9:05










  • Yes, that's as fine as can be. Boost::shared_ptr isn't an optimal choice anymore since it has been superseded by std::shared_ptr but you're stuck with it. You're also correct to create the shared_ptr before calling the function on them, since that could lead to memory leaks. See: boost.org/doc/libs/1_62_0/libs/smart_ptr/shared_ptr.htm, even though using boost::make_shared would still be better, for the same reasons as std::make_shared
    – papagaga
    Feb 9 at 10:42
















up vote
1
down vote

favorite












I am trying to pass a point cloud to a function. Since the point cloud data is huge, I don't want the compiler to make a copy of it while passing. Hence I passed the reference of it as shown below-



void box_filter(pcl::PointCloud<pcl::PointXYZRGB>& in_cloud, pcl::PointCloud<pcl::PointXYZRGB>& out_cloud)

 pcl::CropBox<pcl::PointXYZRGB> filter;
 filter.setMin(Eigen::Vector4f(x_min, y_min, z_min, 1.0));
 filter.setMax(Eigen::Vector4f(x_max, y_max, z_max, 1.0));
 filter.setInputCloud(in_cloud);
 filter.filter(out_cloud);



I defined the point clouds as following-



pcl::PointCloud<pcl::PointXYZRGB> raw_cloud, filterd_cloud;


Later, I am visualizing the filtered cloud using PCLVisualizer. Please see the code snippet-



pcl::PointCloud<pcl::PointXYZRGB> raw_cloud, filterd_cloud;
pcl::io::loadPCDFile(pcd_filename, raw_cloud);
box_filter(raw_cloud, filterd_cloud);
pcl::visualization::PCLVisualizer viewer("Cloud Viewer");
viewer.addPointCloud(filterd_cloud, "filterd_cloud");
viewer.spin();


Unfortunately, the code throws following compilation errors-



In function ‘void box_filter(pcl::PointCloud<pcl::PointXYZRGB>&, pcl::PointCloud<pcl::PointXYZRGB>&)’:
error: no matching function for call to ‘pcl::CropBox<pcl::PointXYZRGB>::setInputCloud(pcl::PointCloud<pcl::PointXYZRGB>&)’
 filter.setInputCloud(in_cloud);
 ^
candidate is: void pcl::PCLBase<PointT>::setInputCloud(const PointCloudConstPtr&) [with PointT = pcl::PointXYZRGB; pcl::PCLBase<PointT>::PointCloudConstPtr = boost::shared_ptr<const pcl::PointCloud<pcl::PointXYZRGB> >]
 setInputCloud (const PointCloudConstPtr &cloud);
 ^
error: no matching function for call to ‘pcl::visualization::PCLVisualizer::addPointCloud(pcl::PointCloud<pcl::PointXYZRGB>&, const char [14])’
 viewer.addPointCloud(filterd_cloud, "filterd_cloud");
 ^
candidates are: template<class PointT> bool pcl::visualization::PCLVisualizer::addPointCloud(const typename pcl::PointCloud<PointT>::ConstPtr&, const string&, int)
 addPointCloud (const typename pcl::PointCloud<PointT>::ConstPtr &cloud,
 ^


It is clear that there is a mismatch between datatype as it is expecting for pcl::PointCloud<PointT>::ConstPtr instead of pcl::PointCloud<PointT>.



I modified the code as shown below-



void box_filter(pcl::PointCloud<pcl::PointXYZRGB>::Ptr in_cloud, pcl::PointCloud<pcl::PointXYZRGB>::Ptr out_cloud)

 pcl::CropBox<pcl::PointXYZRGB> filter;
 filter.setMin(Eigen::Vector4f(x_min, y_min, z_min, 1.0));
 filter.setMax(Eigen::Vector4f(x_max, y_max, z_max, 1.0));
 filter.setInputCloud(in_cloud);
 filter.filter(*out_cloud);



and this too-



pcl::PointCloud<pcl::PointXYZRGB>::Ptr raw_cloud (new pcl::PointCloud<pcl::PointXYZRGB>);
pcl::PointCloud<pcl::PointXYZRGB>::Ptr filterd_cloud (new pcl::PointCloud<pcl::PointXYZRGB>);
pcl::io::loadPCDFile(pcd_filename, *raw_cloud);
box_filter(raw_cloud, filterd_cloud);
pcl::visualization::PCLVisualizer viewer("Cloud Viewer");
viewer.addPointCloud(filterd_cloud, "filterd_cloud");
viewer.spin();


It works but Is it fine?
I am looking for best practices while dealing with pcl::PointCloud<PointT> as it is making use of Boost Pointers.




c++ boost




share|improve this question















  • 1




    That isn't a problem of best practices. You have to respect the library function signature, which asks for a pointer. Pointers and references have their pros and cons, but the choice was made for you by the library's author. Neither copies the data, luckily for you :-)
    – papagaga
    Feb 9 at 8:50










  • @papagaga: respect library function signature ... that's what I want to know. I used Ptr shown above in the code but it that fine? Thanks!
    – Ravi Joshi
    Feb 9 at 9:05










  • Yes, that's as fine as can be. Boost::shared_ptr isn't an optimal choice anymore since it has been superseded by std::shared_ptr but you're stuck with it. You're also correct to create the shared_ptr before calling the function on them, since that could lead to memory leaks. See: boost.org/doc/libs/1_62_0/libs/smart_ptr/shared_ptr.htm, even though using boost::make_shared would still be better, for the same reasons as std::make_shared
    – papagaga
    Feb 9 at 10:42












up vote
1
down vote

favorite









up vote
1
down vote

favorite











I am trying to pass a point cloud to a function. Since the point cloud data is huge, I don't want the compiler to make a copy of it while passing. Hence I passed the reference of it as shown below-



void box_filter(pcl::PointCloud<pcl::PointXYZRGB>& in_cloud, pcl::PointCloud<pcl::PointXYZRGB>& out_cloud)

 pcl::CropBox<pcl::PointXYZRGB> filter;
 filter.setMin(Eigen::Vector4f(x_min, y_min, z_min, 1.0));
 filter.setMax(Eigen::Vector4f(x_max, y_max, z_max, 1.0));
 filter.setInputCloud(in_cloud);
 filter.filter(out_cloud);



I defined the point clouds as following-



pcl::PointCloud<pcl::PointXYZRGB> raw_cloud, filterd_cloud;


Later, I am visualizing the filtered cloud using PCLVisualizer. Please see the code snippet-



pcl::PointCloud<pcl::PointXYZRGB> raw_cloud, filterd_cloud;
pcl::io::loadPCDFile(pcd_filename, raw_cloud);
box_filter(raw_cloud, filterd_cloud);
pcl::visualization::PCLVisualizer viewer("Cloud Viewer");
viewer.addPointCloud(filterd_cloud, "filterd_cloud");
viewer.spin();


Unfortunately, the code throws following compilation errors-



In function ‘void box_filter(pcl::PointCloud<pcl::PointXYZRGB>&, pcl::PointCloud<pcl::PointXYZRGB>&)’:
error: no matching function for call to ‘pcl::CropBox<pcl::PointXYZRGB>::setInputCloud(pcl::PointCloud<pcl::PointXYZRGB>&)’
 filter.setInputCloud(in_cloud);
 ^
candidate is: void pcl::PCLBase<PointT>::setInputCloud(const PointCloudConstPtr&) [with PointT = pcl::PointXYZRGB; pcl::PCLBase<PointT>::PointCloudConstPtr = boost::shared_ptr<const pcl::PointCloud<pcl::PointXYZRGB> >]
 setInputCloud (const PointCloudConstPtr &cloud);
 ^
error: no matching function for call to ‘pcl::visualization::PCLVisualizer::addPointCloud(pcl::PointCloud<pcl::PointXYZRGB>&, const char [14])’
 viewer.addPointCloud(filterd_cloud, "filterd_cloud");
 ^
candidates are: template<class PointT> bool pcl::visualization::PCLVisualizer::addPointCloud(const typename pcl::PointCloud<PointT>::ConstPtr&, const string&, int)
 addPointCloud (const typename pcl::PointCloud<PointT>::ConstPtr &cloud,
 ^


It is clear that there is a mismatch between datatype as it is expecting for pcl::PointCloud<PointT>::ConstPtr instead of pcl::PointCloud<PointT>.



I modified the code as shown below-



void box_filter(pcl::PointCloud<pcl::PointXYZRGB>::Ptr in_cloud, pcl::PointCloud<pcl::PointXYZRGB>::Ptr out_cloud)

 pcl::CropBox<pcl::PointXYZRGB> filter;
 filter.setMin(Eigen::Vector4f(x_min, y_min, z_min, 1.0));
 filter.setMax(Eigen::Vector4f(x_max, y_max, z_max, 1.0));
 filter.setInputCloud(in_cloud);
 filter.filter(*out_cloud);



and this too-



pcl::PointCloud<pcl::PointXYZRGB>::Ptr raw_cloud (new pcl::PointCloud<pcl::PointXYZRGB>);
pcl::PointCloud<pcl::PointXYZRGB>::Ptr filterd_cloud (new pcl::PointCloud<pcl::PointXYZRGB>);
pcl::io::loadPCDFile(pcd_filename, *raw_cloud);
box_filter(raw_cloud, filterd_cloud);
pcl::visualization::PCLVisualizer viewer("Cloud Viewer");
viewer.addPointCloud(filterd_cloud, "filterd_cloud");
viewer.spin();


It works but Is it fine?
I am looking for best practices while dealing with pcl::PointCloud<PointT> as it is making use of Boost Pointers.




c++ boost




share|improve this question











I am trying to pass a point cloud to a function. Since the point cloud data is huge, I don't want the compiler to make a copy of it while passing. Hence I passed the reference of it as shown below-



void box_filter(pcl::PointCloud<pcl::PointXYZRGB>& in_cloud, pcl::PointCloud<pcl::PointXYZRGB>& out_cloud)

 pcl::CropBox<pcl::PointXYZRGB> filter;
 filter.setMin(Eigen::Vector4f(x_min, y_min, z_min, 1.0));
 filter.setMax(Eigen::Vector4f(x_max, y_max, z_max, 1.0));
 filter.setInputCloud(in_cloud);
 filter.filter(out_cloud);



I defined the point clouds as following-



pcl::PointCloud<pcl::PointXYZRGB> raw_cloud, filterd_cloud;


Later, I am visualizing the filtered cloud using PCLVisualizer. Please see the code snippet-



pcl::PointCloud<pcl::PointXYZRGB> raw_cloud, filterd_cloud;
pcl::io::loadPCDFile(pcd_filename, raw_cloud);
box_filter(raw_cloud, filterd_cloud);
pcl::visualization::PCLVisualizer viewer("Cloud Viewer");
viewer.addPointCloud(filterd_cloud, "filterd_cloud");
viewer.spin();


Unfortunately, the code throws following compilation errors-



In function ‘void box_filter(pcl::PointCloud<pcl::PointXYZRGB>&, pcl::PointCloud<pcl::PointXYZRGB>&)’:
error: no matching function for call to ‘pcl::CropBox<pcl::PointXYZRGB>::setInputCloud(pcl::PointCloud<pcl::PointXYZRGB>&)’
 filter.setInputCloud(in_cloud);
 ^
candidate is: void pcl::PCLBase<PointT>::setInputCloud(const PointCloudConstPtr&) [with PointT = pcl::PointXYZRGB; pcl::PCLBase<PointT>::PointCloudConstPtr = boost::shared_ptr<const pcl::PointCloud<pcl::PointXYZRGB> >]
 setInputCloud (const PointCloudConstPtr &cloud);
 ^
error: no matching function for call to ‘pcl::visualization::PCLVisualizer::addPointCloud(pcl::PointCloud<pcl::PointXYZRGB>&, const char [14])’
 viewer.addPointCloud(filterd_cloud, "filterd_cloud");
 ^
candidates are: template<class PointT> bool pcl::visualization::PCLVisualizer::addPointCloud(const typename pcl::PointCloud<PointT>::ConstPtr&, const string&, int)
 addPointCloud (const typename pcl::PointCloud<PointT>::ConstPtr &cloud,
 ^


It is clear that there is a mismatch between datatype as it is expecting for pcl::PointCloud<PointT>::ConstPtr instead of pcl::PointCloud<PointT>.



I modified the code as shown below-



void box_filter(pcl::PointCloud<pcl::PointXYZRGB>::Ptr in_cloud, pcl::PointCloud<pcl::PointXYZRGB>::Ptr out_cloud)

 pcl::CropBox<pcl::PointXYZRGB> filter;
 filter.setMin(Eigen::Vector4f(x_min, y_min, z_min, 1.0));
 filter.setMax(Eigen::Vector4f(x_max, y_max, z_max, 1.0));
 filter.setInputCloud(in_cloud);
 filter.filter(*out_cloud);



and this too-



pcl::PointCloud<pcl::PointXYZRGB>::Ptr raw_cloud (new pcl::PointCloud<pcl::PointXYZRGB>);
pcl::PointCloud<pcl::PointXYZRGB>::Ptr filterd_cloud (new pcl::PointCloud<pcl::PointXYZRGB>);
pcl::io::loadPCDFile(pcd_filename, *raw_cloud);
box_filter(raw_cloud, filterd_cloud);
pcl::visualization::PCLVisualizer viewer("Cloud Viewer");
viewer.addPointCloud(filterd_cloud, "filterd_cloud");
viewer.spin();


It works but Is it fine?
I am looking for best practices while dealing with pcl::PointCloud<PointT> as it is making use of Boost Pointers.





c++ boost





share|improve this question










share|improve this question




share|improve this question









asked Feb 9 at 6:57









Ravi Joshi

18516




18516







  • 1




    That isn't a problem of best practices. You have to respect the library function signature, which asks for a pointer. Pointers and references have their pros and cons, but the choice was made for you by the library's author. Neither copies the data, luckily for you :-)
    – papagaga
    Feb 9 at 8:50










  • @papagaga: respect library function signature ... that's what I want to know. I used Ptr shown above in the code but it that fine? Thanks!
    – Ravi Joshi
    Feb 9 at 9:05










  • Yes, that's as fine as can be. Boost::shared_ptr isn't an optimal choice anymore since it has been superseded by std::shared_ptr but you're stuck with it. You're also correct to create the shared_ptr before calling the function on them, since that could lead to memory leaks. See: boost.org/doc/libs/1_62_0/libs/smart_ptr/shared_ptr.htm, even though using boost::make_shared would still be better, for the same reasons as std::make_shared
    – papagaga
    Feb 9 at 10:42












  • 1




    That isn't a problem of best practices. You have to respect the library function signature, which asks for a pointer. Pointers and references have their pros and cons, but the choice was made for you by the library's author. Neither copies the data, luckily for you :-)
    – papagaga
    Feb 9 at 8:50










  • @papagaga: respect library function signature ... that's what I want to know. I used Ptr shown above in the code but it that fine? Thanks!
    – Ravi Joshi
    Feb 9 at 9:05










  • Yes, that's as fine as can be. Boost::shared_ptr isn't an optimal choice anymore since it has been superseded by std::shared_ptr but you're stuck with it. You're also correct to create the shared_ptr before calling the function on them, since that could lead to memory leaks. See: boost.org/doc/libs/1_62_0/libs/smart_ptr/shared_ptr.htm, even though using boost::make_shared would still be better, for the same reasons as std::make_shared
    – papagaga
    Feb 9 at 10:42







1




1




That isn't a problem of best practices. You have to respect the library function signature, which asks for a pointer. Pointers and references have their pros and cons, but the choice was made for you by the library's author. Neither copies the data, luckily for you :-)
– papagaga
Feb 9 at 8:50




That isn't a problem of best practices. You have to respect the library function signature, which asks for a pointer. Pointers and references have their pros and cons, but the choice was made for you by the library's author. Neither copies the data, luckily for you :-)
– papagaga
Feb 9 at 8:50












@papagaga: respect library function signature ... that's what I want to know. I used Ptr shown above in the code but it that fine? Thanks!
– Ravi Joshi
Feb 9 at 9:05




@papagaga: respect library function signature ... that's what I want to know. I used Ptr shown above in the code but it that fine? Thanks!
– Ravi Joshi
Feb 9 at 9:05












Yes, that's as fine as can be. Boost::shared_ptr isn't an optimal choice anymore since it has been superseded by std::shared_ptr but you're stuck with it. You're also correct to create the shared_ptr before calling the function on them, since that could lead to memory leaks. See: boost.org/doc/libs/1_62_0/libs/smart_ptr/shared_ptr.htm, even though using boost::make_shared would still be better, for the same reasons as std::make_shared
– papagaga
Feb 9 at 10:42




Yes, that's as fine as can be. Boost::shared_ptr isn't an optimal choice anymore since it has been superseded by std::shared_ptr but you're stuck with it. You're also correct to create the shared_ptr before calling the function on them, since that could lead to memory leaks. See: boost.org/doc/libs/1_62_0/libs/smart_ptr/shared_ptr.htm, even though using boost::make_shared would still be better, for the same reasons as std::make_shared
– papagaga
Feb 9 at 10:42















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