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Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scal…
A collection of GTSAM factors and optimizers for point cloud SLAM
A toolbox for target-less LiDAR-camera calibration [ROS1/ROS2]
RViz2 plugin to render a birdeye-image in the 3D-view
Community for applying LLMs to robotics and a robot simulator with ChatGPT integration
[ICCV'23 Workshop] SAM3D: Segment Anything in 3D Scenes
An implementation of Deeplabv3plus in TensorFlow2 for semantic land cover segmentation
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
Satellite/Aerial Image Retrieval: using Bing maps tile system to automatically download aerial imagery (maximum resolution available) given a latitude, longitude bounding box.
Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.
A playbook for systematically maximizing the performance of deep learning models.
Pythonic AI generation of images and videos
Official repository of ICCV21 paper "Viewpoint Invariant Dense Matching for Visual Geolocalization"
Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.
LAVIS - A One-stop Library for Language-Vision Intelligence
LVI-SAM for easier using (更简单的使用LVI-SAM的方法)
This repo is modified based on LIO_SAM, which remove the feature extraction module and makes it easier to adapt your sensor.
ROS & ROS2 Implementation of Patchwork++
A Collection of LiDAR-Camera-Calibration Papers, Toolboxes and Notes
OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving
A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
A useful collection of CPP and PYTHON examples to learn ROS2 from zero
OpenREALM is a pipeline for real-time aerial mapping utilizing visual SLAM and 3D reconstruction frameworks.
Real-time Dense Point Cloud, Digital Surface Map (DSM) and (Ortho-)Mosaic Generation for UAVs