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

Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)

Efficient and parallel algorithms for point cloud registration [C++, Python]

A python tool for fitting primitives 3D shapes in point clouds using RANSAC algorithm

Pointcloud-based graph SLAM written in C++ using open3D library.

Semantic3D segmentation with Open3D and PointNet++

GUI for visualization and interactive editing of SMPL-family body models ie. SMPL, SMPL-X, MANO, FLAME.

[RAL' 25 & IROS‘ 25] MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework.

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).

SLAM - Simultaneous localization and mapping using OpenCV and NumPy.

Stream Apple LiDAR (iPad/iPhone) data with open3d

visualization点云可视化(open3D, mayavi, rviz(ros), PCL等)

JetScan : GPU accelerated portable RGB-D reconstruction system

2 Python API functions for point cloud conversion between Open3D and ROS. Compatible for XYZ and XYZRGB point type.

Stick to doing something interesting and valuable.

No description provided.

Visualize Data From Stray Scanner https://keke.dev/blog/2021/03/10/Stray-Scanner.html

An interactive 6 degree-of-freedom (DoF) pose annotation tool using point cloud processings.

A simple and fast GUI tool to visualize and compare the SMPL sequences and scenes in real-time.

Implementation of ICCV 2017: Colored Point Cloud Registration Revisited

LiDAR Fusion with Vision

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.

Swift package for using Open3D in iOS apps

Code examples of point cloud processing in python.

Find pre-installed Open3D package in CMake

Efficient analysis of large datasets of point clouds recorded over time

Using PyTorch's MiDaS model and Open3D's point cloud to map a scene in 3D 🏞️🔭