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| 1 | +#include <ros/ros.h> |
| 2 | + |
| 3 | +#include <std_msgs/String.h> |
| 4 | + |
| 5 | +#include <pcl/point_types.h> |
| 6 | +#include <pcl_ros/point_cloud.h> |
| 7 | +#include <pcl/io/pcd_io.h> |
| 8 | +#include <pcl/filters/voxel_grid.h> |
| 9 | +#include <pcl/common/centroid.h> |
| 10 | + |
| 11 | +class PointCloudToWebgl { |
| 12 | + |
| 13 | +// ROS properties |
| 14 | +ros::NodeHandle nh_; |
| 15 | +ros::NodeHandle nh_private_; |
| 16 | + |
| 17 | +std::string pcd_filename_; |
| 18 | +double max_ascii_file_size_; |
| 19 | +int pcd_type_; |
| 20 | + |
| 21 | +public: |
| 22 | + |
| 23 | + /** |
| 24 | + * Class constructor |
| 25 | + */ |
| 26 | + PointCloudToWebgl() : nh_private_("~") |
| 27 | + { |
| 28 | + // Read the parameters from the parameter server (set defaults) |
| 29 | + nh_private_.param("pcd_filename", pcd_filename_, std::string("pointcloud_file.pcd")); |
| 30 | + nh_private_.param("max_ascii_file_size", max_ascii_file_size_, 4.0); // In MBytes |
| 31 | + nh_private_.param("pcd_type", pcd_type_, 0); // 0 -> XYZ | 1 -> XYZRGB |
| 32 | + |
| 33 | + ROS_INFO_STREAM("[PointCloudToWebgl:] Opening file " << pcd_filename_); |
| 34 | + |
| 35 | + // Read point cloud |
| 36 | + if (pcd_type_ == 0) |
| 37 | + { |
| 38 | + // NO RGB |
| 39 | + pcl::PointCloud<pcl::PointXYZ>::Ptr cloud_ptr (new pcl::PointCloud<pcl::PointXYZ>); |
| 40 | + if (pcl::io::loadPCDFile<pcl::PointXYZ> (pcd_filename_, *cloud_ptr) == -1) //* load the file |
| 41 | + { |
| 42 | + ROS_ERROR_STREAM("[PointCloudToWebgl:] Couldn't read file " << pcd_filename_); |
| 43 | + } |
| 44 | + else |
| 45 | + { |
| 46 | + // Convert the cloud |
| 47 | + pcl::PointCloud<pcl::PointXYZ> cloud = *cloud_ptr; |
| 48 | + int file_point_size = 27; |
| 49 | + int max_bytes = (int)round(max_ascii_file_size_ * 1024 * 1024); |
| 50 | + int desired_points = max_bytes / file_point_size; |
| 51 | + double voxel_size = 0.001; |
| 52 | + double offset = 0.0002; |
| 53 | + while ((int)cloud.size() > desired_points) |
| 54 | + { |
| 55 | + pcl::PointCloud<pcl::PointXYZ>::Ptr cloud_downsampled = filter(cloud.makeShared(), voxel_size); |
| 56 | + cloud = *cloud_downsampled; |
| 57 | + voxel_size = voxel_size + offset; |
| 58 | + } |
| 59 | + |
| 60 | + // Compute the cloud centroid |
| 61 | + Eigen::Vector4f centroid; |
| 62 | + pcl::compute3DCentroid(cloud, centroid); |
| 63 | + |
| 64 | + // Save int file |
| 65 | + int lastindex = pcd_filename_.find_last_of("."); |
| 66 | + std::string filename = pcd_filename_.substr(0, lastindex); |
| 67 | + filename = filename + ".txt"; |
| 68 | + ROS_INFO_STREAM("[PointCloudToWebgl:] Saving webgl file to " << filename); |
| 69 | + std::fstream f_webgl(filename.c_str(), std::ios::out); |
| 70 | + for (unsigned int i=0; i<cloud.size(); i++) |
| 71 | + { |
| 72 | + f_webgl << cloud[i].x - centroid[0] << "," << |
| 73 | + cloud[i].y - centroid[1] << "," << |
| 74 | + cloud[i].z - centroid[2] << "," << |
| 75 | + (int)(224) << "," << |
| 76 | + (int)(224) << "," << |
| 77 | + (int)(224) << std::endl; |
| 78 | + } |
| 79 | + f_webgl.close(); |
| 80 | + ROS_INFO("[PointCloudToWebgl:] Saved!"); |
| 81 | + } |
| 82 | + } |
| 83 | + else |
| 84 | + { |
| 85 | + // RGB |
| 86 | + pcl::PointCloud<pcl::PointXYZRGB>::Ptr cloud_ptr (new pcl::PointCloud<pcl::PointXYZRGB>); |
| 87 | + if (pcl::io::loadPCDFile<pcl::PointXYZRGB> (pcd_filename_, *cloud_ptr) == -1) //* load the file |
| 88 | + { |
| 89 | + ROS_ERROR_STREAM("[PointCloudToWebgl:] Couldn't read file " << pcd_filename_); |
| 90 | + } |
| 91 | + else |
| 92 | + { |
| 93 | + // Convert the cloud |
| 94 | + pcl::PointCloud<pcl::PointXYZRGB> cloud = *cloud_ptr; |
| 95 | + int file_point_size = 37; |
| 96 | + int max_bytes = (int)round(max_ascii_file_size_ * 1024 * 1024); |
| 97 | + int desired_points = max_bytes / file_point_size; |
| 98 | + double voxel_size = 0.001; |
| 99 | + double offset = 0.0002; |
| 100 | + while ((int)cloud.size() > desired_points) |
| 101 | + { |
| 102 | + pcl::PointCloud<pcl::PointXYZRGB>::Ptr cloud_downsampled = filter(cloud.makeShared(), voxel_size); |
| 103 | + cloud = *cloud_downsampled; |
| 104 | + voxel_size = voxel_size + offset; |
| 105 | + } |
| 106 | + |
| 107 | + // Compute the cloud centroid |
| 108 | + Eigen::Vector4f centroid; |
| 109 | + pcl::compute3DCentroid(cloud, centroid); |
| 110 | + |
| 111 | + // Save int file |
| 112 | + int lastindex = pcd_filename_.find_last_of("."); |
| 113 | + std::string filename = pcd_filename_.substr(0, lastindex); |
| 114 | + filename = filename + ".txt"; |
| 115 | + ROS_INFO_STREAM("[PointCloudToWebgl:] Saving webgl file to " << filename); |
| 116 | + std::fstream f_webgl(filename.c_str(), std::ios::out); |
| 117 | + for (unsigned int i=0; i<cloud.size(); i++) |
| 118 | + { |
| 119 | + f_webgl << cloud[i].x - centroid[0] << "," << |
| 120 | + cloud[i].y - centroid[1] << "," << |
| 121 | + cloud[i].z - centroid[2] << "," << |
| 122 | + (int)cloud[i].r << "," << |
| 123 | + (int)cloud[i].g << "," << |
| 124 | + (int)cloud[i].b << std::endl; |
| 125 | + } |
| 126 | + f_webgl.close(); |
| 127 | + ROS_INFO("[PointCloudToWebgl:] Saved!"); |
| 128 | + } |
| 129 | + } |
| 130 | + } |
| 131 | + |
| 132 | + pcl::PointCloud<pcl::PointXYZ>::Ptr filter(pcl::PointCloud<pcl::PointXYZ>::Ptr cloud, double voxel_size) |
| 133 | + { |
| 134 | + // Downsampling using voxel grid |
| 135 | + pcl::PointCloud<pcl::PointXYZ>::Ptr cloud_filtered_ptr(new pcl::PointCloud<pcl::PointXYZ>); |
| 136 | + pcl::VoxelGrid<pcl::PointXYZ> grid_; |
| 137 | + pcl::PointCloud<pcl::PointXYZ>::Ptr cloud_downsampled_ptr(new pcl::PointCloud<pcl::PointXYZ>); |
| 138 | + grid_.setLeafSize(voxel_size, |
| 139 | + voxel_size, |
| 140 | + voxel_size); |
| 141 | + grid_.setDownsampleAllData(true); |
| 142 | + grid_.setInputCloud(cloud); |
| 143 | + grid_.filter(*cloud_downsampled_ptr); |
| 144 | + return cloud_downsampled_ptr; |
| 145 | + } |
| 146 | + |
| 147 | + pcl::PointCloud<pcl::PointXYZRGB>::Ptr filter(pcl::PointCloud<pcl::PointXYZRGB>::Ptr cloud, double voxel_size) |
| 148 | + { |
| 149 | + // Downsampling using voxel grid |
| 150 | + pcl::PointCloud<pcl::PointXYZRGB>::Ptr cloud_filtered_ptr(new pcl::PointCloud<pcl::PointXYZRGB>); |
| 151 | + pcl::VoxelGrid<pcl::PointXYZRGB> grid_; |
| 152 | + pcl::PointCloud<pcl::PointXYZRGB>::Ptr cloud_downsampled_ptr(new pcl::PointCloud<pcl::PointXYZRGB>); |
| 153 | + |
| 154 | + grid_.setLeafSize(voxel_size, |
| 155 | + voxel_size, |
| 156 | + voxel_size); |
| 157 | + grid_.setDownsampleAllData(true); |
| 158 | + grid_.setInputCloud(cloud); |
| 159 | + grid_.filter(*cloud_downsampled_ptr); |
| 160 | + return cloud_downsampled_ptr; |
| 161 | + } |
| 162 | + |
| 163 | +}; |
| 164 | + |
| 165 | +/** |
| 166 | + * Main entry point of the code |
| 167 | + */ |
| 168 | +int main(int argc, char **argv) |
| 169 | +{ |
| 170 | + ros::init(argc, argv, "pointcloud_to_webgl"); |
| 171 | + PointCloudToWebgl node; |
| 172 | + ros::spin(); |
| 173 | + return 0; |
| 174 | +} |
| 175 | + |
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