Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Add: tool to generate random clouds #599

Merged
merged 1 commit into from
Apr 1, 2014
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
3 changes: 3 additions & 0 deletions tools/CMakeLists.txt
Original file line number Diff line number Diff line change
Expand Up @@ -144,6 +144,9 @@ if (build)
PCL_ADD_EXECUTABLE(pcl_progressive_morphological_filter "${SUBSYS_NAME}" progressive_morphological_filter.cpp)
target_link_libraries(pcl_progressive_morphological_filter pcl_common pcl_io pcl_filters pcl_segmentation)

PCL_ADD_EXECUTABLE(pcl_generate "${SUBSYS_NAME}" generate.cpp)
target_link_libraries(pcl_generate pcl_common pcl_io)

if(BUILD_OPENNI AND OPENNI_FOUND)
PCL_ADD_EXECUTABLE(pcl_oni2pcd "${SUBSYS_NAME}" oni2pcd.cpp)
target_link_libraries(pcl_oni2pcd pcl_common pcl_io)
Expand Down
212 changes: 212 additions & 0 deletions tools/generate.cpp
Original file line number Diff line number Diff line change
@@ -0,0 +1,212 @@
/*
* Software License Agreement (BSD License)
*
* Point Cloud Library (PCL) - www.pointclouds.org
* Copyright (c) 2009-2012, Willow Garage, Inc.
* Copyright (c) 2012-, Open Perception, Inc.
* Copyright (c) 2014, RadiantBlue Technologies, 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.
*
* $Id$
*/

#include <pcl/point_types.h>
#include <pcl/io/pcd_io.h>
#include <pcl/common/generate.h>
#include <pcl/common/random.h>
#include <pcl/console/print.h>
#include <pcl/console/parse.h>
#include <pcl/console/time.h>

using namespace std;
using namespace pcl;
using namespace pcl::io;
using namespace pcl::common;
using namespace pcl::console;

typedef PointXYZ PointType;
typedef PointCloud<PointXYZ> Cloud;
typedef const Cloud::ConstPtr ConstCloudPtr;

std::string default_distribution = "uniform";
float default_xmin = 0.0f;
float default_xmax = 1.0f;
float default_xmean = 0.0f;
float default_xstddev = 1.0f;
float default_ymin = 0.0f;
float default_ymax = 1.0f;
float default_ymean = 0.0f;
float default_ystddev = 1.0f;
float default_zmin = 0.0f;
float default_zmax = 1.0f;
float default_zmean = 0.0f;
float default_zstddev = 1.0f;
int default_size = 10000;

void
printHelp (int, char **argv)
{
print_error ("Syntax is: %s output.pcd <options>\n", argv[0]);
print_info (" where options are:\n");
print_info (" -distribution X = the distribution to be used (options: uniform / normal) (default: ");
print_value ("%s", default_distribution.c_str ()); print_info (")\n");
print_info (" -size X = number of points in cloud (default: ");
print_value ("%d", default_size); print_info (")\n");
print_info (" Options for uniform distribution:\n");
print_info (" -[x|y|z]min X = minimum for the [x|y|z] dimension (defaults: ");
print_value ("%f, %f, %f", default_xmin, default_ymin, default_zmin); print_info (")\n");
print_info (" -[x|y|z]max X = maximum for the [x|y|z] dimension (defaults: ");
print_value ("%f, %f, %f", default_xmax, default_ymax, default_zmax); print_info (")\n");
print_info (" Options for normal distribution:\n");
print_info (" -[x|y|z]mean X = mean for the [x|y|z] dimension (defaults: ");
print_value ("%f, %f, %f", default_xmean, default_ymean, default_zmean); print_info (")\n");
print_info (" -[x|y|z]stddev X = standard deviation for the [x|y|z] dimension (defaults: ");
print_value ("%f, %f, %f", default_xstddev, default_ystddev, default_zstddev); print_info (")\n");
}

void
saveCloud (const std::string &filename, const Cloud &output)
{
TicToc tt;
tt.tic ();

print_highlight ("Saving "); print_value ("%s ", filename.c_str ());

PCDWriter w;
w.writeBinaryCompressed (filename, output);

print_info ("[done, "); print_value ("%g", tt.toc ()); print_info (" ms : "); print_value ("%d", output.width * output.height); print_info (" points]\n");
}

/* ---[ */
int
main (int argc, char** argv)
{
if (find_switch (argc, argv, "-h"))
{
printHelp (argc, argv);
return (0);
}

print_info ("Generate a random point cloud. For more information, use: %s -h\n", argv[0]);

if (argc < 2)
{
printHelp (argc, argv);
return (-1);
}

// Command line parsing
std::string distribution = default_distribution;
float xmin = default_xmin;
float xmax = default_xmax;
float xmean = default_xmean;
float xstddev = default_xstddev;
float ymin = default_ymin;
float ymax = default_ymax;
float ymean = default_ymean;
float ystddev = default_ystddev;
float zmin = default_zmin;
float zmax = default_zmax;
float zmean = default_zmean;
float zstddev = default_zstddev;
int size = default_size;
parse_argument (argc, argv, "-distribution", distribution);
parse_argument (argc, argv, "-xmin", xmin);
parse_argument (argc, argv, "-xmax", xmax);
parse_argument (argc, argv, "-xmean", xmean);
parse_argument (argc, argv, "-xstddev", xstddev);
parse_argument (argc, argv, "-ymin", ymin);
parse_argument (argc, argv, "-ymax", ymax);
parse_argument (argc, argv, "-ymean", ymean);
parse_argument (argc, argv, "-ystddev", ystddev);
parse_argument (argc, argv, "-zmin", zmin);
parse_argument (argc, argv, "-zmax", zmax);
parse_argument (argc, argv, "-zmean", zmean);
parse_argument (argc, argv, "-zstddev", zstddev);
parse_argument (argc, argv, "-size", size);

// Parse the command line arguments for .pcd files
std::vector<int> p_file_indices;
p_file_indices = parse_file_extension_argument (argc, argv, ".pcd");
if (p_file_indices.size () != 1)
{
print_error ("Need one output PCD file to continue.\n");
return (-1);
}

// Perform the feature estimation
Cloud output;

// Estimate
TicToc tt;
tt.tic ();

print_highlight (stderr, "Computing ");

if (distribution == "uniform")
{
CloudGenerator<pcl::PointXYZ, UniformGenerator<float> > generator;
uint32_t seed = static_cast<uint32_t> (time (NULL));
UniformGenerator<float>::Parameters x_params (xmin, xmax, seed++);
generator.setParametersForX (x_params);
UniformGenerator<float>::Parameters y_params (ymin, ymax, seed++);
generator.setParametersForY (y_params);
UniformGenerator<float>::Parameters z_params (zmin, zmax, seed++);
generator.setParametersForZ (z_params);

generator.fill (size, 1, output);
}
else if (distribution == "normal")
{
CloudGenerator<pcl::PointXYZ, NormalGenerator<float> > generator;
uint32_t seed = static_cast<uint32_t> (time (NULL));
NormalGenerator<float>::Parameters x_params (xmean, xstddev, seed++);
generator.setParametersForX (x_params);
NormalGenerator<float>::Parameters y_params (ymean, ystddev, seed++);
generator.setParametersForY (y_params);
NormalGenerator<float>::Parameters z_params (zmean, zstddev, seed++);
generator.setParametersForZ (z_params);

generator.fill (size, 1, output);
}
else
{
PCL_ERROR ("%s is not a valid generator! Quitting!\n", distribution.c_str ());
return (0);
}

print_info ("[done, "); print_value ("%g", tt.toc ()); print_info (" ms : "); print_value ("%d", output.width * output.height); print_info (" points]\n");

// Save into the second file
saveCloud (argv[p_file_indices[0]], output);
}