michalpelka

My enviorment

ros2 Humble, ubuntu 22.04

Step by step

Clone:

mkdir -p ~/husky_ws/src
cd ~/husky_ws/src
git clone https://github.com/husky/husky.git
cd husky

michalpelka

# docker build -t livox -f Dockerfile .
# rocker --x11 --nvidia --network host livox

# set host ip to 192.168.1.5
# assume Livox ip is 192.168.1.177

# inside container:
# ping 192.168.1.177
# vim /ws/src/livox_ros_driver2/config/MID360_config.json 
# screen -m bash -c '. /ws/devel/setup.sh && roslaunch /ws/src/livox_ros_driver2/launch_ROS1/msg_MID360.launch'

danielef

nvidia drivers reinstall for Ubuntu 20.04

0. Login as root

sudo -s

1. Purge all nvidia packages:

apt-get purge *nvidia*
apt autoremove

shubhamwagh

Steps to create Textured Mesh from Point Cloud using Meshlab

Get your PointCloud into MeshLab

• Import the pointcloud file in ".ply" file format in Meshlab. Before importing make sure you do some pre-processing / cleaning on point cloud so as to ease the process of meshing.

Point Cloud Simplification and Normals Computation

• Next we need to reduce the number of point samples for smooth meshing.
  • So go to Filters -> Point Set -> Point Cloud Simplification. Enter Number of samples circa 5% of original number of points. Make sure Best Sample Heuristic is checked.
• After point cloud simplification, make sure to select Simplified point cloud in the Show Layer Dialog on the right hand side. If not visible, it can be opened by navigating to View -> Show Layer Dialog. Now we need to compute normals for point set.
• So go to Filters -> Point Set -> Compute normals for point sets . Enter Neighbour num between 10 - 100. Initially try with 10 and

lucianmachado

#include <glob.h>
#include <vector>
#include <string>
inline std::vector<std::string> glob(const std::string& pat){
    using namespace std;
    glob_t glob_result;
    glob(pat.c_str(),GLOB_TILDE,NULL,&glob_result);
    vector<string> ret;
    for(unsigned int i=0;i<glob_result.gl_pathc;++i){
        ret.push_back(string(glob_result.gl_pathv[i]));