Wei-Hsuan Cheng's starred repositories
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
vr_ros2_bridge
Unity project and ROS 2 interface definitions for using the HTC Vive
Unity-Robotics-Hub
Central repository for tools, tutorials, resources, and documentation for robotics simulation in Unity.
ros2-for-unity
High-performance ROS2 solution for Unity3D
gaussian-splatting
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
3d-gaussian-splatting
Implementation for 3d gaussian splatting
Gaussian_Splatting_Realtime_Render
3D Gaussian Splatting Real-time Rendered Image
gaussian-splatting
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
awesome-3D-gaussian-splatting
Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
event_camera_msgs
ROS1 and ROS2 messages for event based image sensors
visual_kinematics
simple python-based kinematics solver for robot arm
ros2_rs_pcl
ROS2 sample of Realsense with PCL library
point_lio_unilidar
Point-LIO for Unitree L1 LiDAR.
color-point-cloud
Create color point clouds with ROS2
Ball-Balancing-Robot
Ball Balance Robot Parts File and Program
jetson-containers
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
nano_build_opencv
Build OpenCV on Nvidia Jetson Nano
terminal-profile
This is my profile for UNIX (MacOS/Linux) terminals.
filterpy
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.
Iterative_Closest_Point_Alignment
ICP alignment
tless_edge_based
This project is a part of Ualberta Masters program Course project: Textureless Object Recognition using an edge-based Approach