There are 10 repositories under open3d topic.
Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains
Addon to import different photogrammetry formats into Blender
A python tool for fitting primitives 3D shapes in point clouds using RANSAC algorithm
Semantic3D segmentation with Open3D and PointNet++
Pointcloud-based graph SLAM written in C++ using open3D library.
GUI for visualization and interactive editing of SMPL-family body models ie. SMPL, SMPL-X, MANO, FLAME.
Efficient and parallel algorithms for point cloud registration [C++, Python]
T-LOAM: Truncated Least Squares Lidar-only Odometry and Mapping in Real-Time
A pipeline for online 3D reconstruction of objects only using visual data from RGB-D camera (Kinect V2).
Point cloud map evaluation library for the FusionPortable dataset. Metrics include Mean Map Entropy (MME), RMSE, Accuracy(mean error), Precision(standard deviation), completeness(overlap ratio), chamfer distance and F1-score at all levels of 1/2/5/10/20cm.
SLAM - Simultaneous localization and mapping using OpenCV and NumPy.
Stick to doing something interesting and valuable.
2 Python API functions for point cloud conversion between Open3D and ROS. Compatible for XYZ and XYZRGB point type.
visualization点云可视化(open3D, mayavi, rviz(ros), PCL等)
Stream Apple LiDAR (iPad/iPhone) data with open3d
An interactive 6 degree-of-freedom (DoF) pose annotation tool using point cloud processings.
Visualize Data From Stray Scanner https://keke.dev/blog/2021/03/10/Stray-Scanner.html
Applying Open3D functions to integrate experimentally measured color and depth frames into a 3D object.
Use a robot arm (Baxter) mounted with a depth camera to scan an object's 3D model.
Implementation of ICCV 2017: Colored Point Cloud Registration Revisited
Code examples of point cloud processing in python.
A simple and fast GUI tool to visualize and compare the SMPL sequences and scenes in real-time.
LiDAR Fusion with Vision
Using PyTorch's MiDaS model and Open3D's point cloud to map a scene in 3D 🏞️🔭
Efficient analysis of large datasets of point clouds recorded over time
Use the power of the Ope3d library with the visual scripting environment of Sverchok inside Blender
Converting bin files scanned by LIDAR of autonomous vehicles into pcd files for further processing
A very minimal but working Python only implementation for loosely-coupled LiDAR-Inertial odometry for education purpose.
Error State Kalman Filter based Loosely-Coupled Lidar-IMU Odometry