Robotic Tooling

Vim plugin for ROS development.

Code editor for edit-build-debug cycle.

Hackable text editor for the 21st century.

Share your workspace with team members and collaborate on code in real time in Atom.

A Dockerfile generator for running OpenGL (GLX) applications with nvidia-docker2, CUDA, ROS, and Gazebo on a remote headless server system.

Jupyter widget helpers for ROS, the Robot Operating System.

The ROS Qt Creator Plug-in for Python.

Jupyter kernel for the C++ programming language.

The all-language autocompleter.

Autocompletion and static analysis library for python.

Python ROS Bridge library allows to use Python and IronPython to interact with ROS, the open-source robotic middleware.

Seamless operability between C++11 and Python.

Free and open-source cross-platform source explorer.

Command-line tool that instantly fetches Stack Overflow results when an exception is thrown.

An experimental release of ROS1 for Windows.

Real-time collaborative development from the comfort of your favorite tools.

Collaborative Calculation in the Cloud.

Robust C/C++ code completion for Sublime Text 3.

Visual Studio Code extension for Robot Operating System (ROS) development.

A curated list of awesome header-only C++ libraries.

An open source developer platform that automates the provisioning of ready-to-code development environments.

Template for ROS node standardization in C++.

A bash scripting template incorporating best practices & several useful functions.

Template for using VSCode as an IDE for ROS2 development.

Enable an execution of different multi-architecture containers by QEMU and binfmt_misc.

A release automation tool which makes releasing catkin packages easier.

An extended platform release manager for Robot Operating System.

Command line tools for working with catkin.

Easy continuous integration repository for ROS repositories.

Command line tool to improve the workflow of building, testing and using multiple software packages.

This is a compiler front-end for the C family of languages (C, C++, Objective-C, and Objective-C++) which is built as part of the LLVM compiler infrastructure project.

Bundle python requirements in a catkin package via virtualenv.

Simple Python version management.

Debian repository management tool.

Assets used for ROS2 cross-compilation.

Official Docker images maintained by OSRF on ROS(2) and Gazebo.

Presents a suite of scripts to assist with launching background ROS processes on Ubuntu Linux PCs.

A single thread pure C implementation of the ROS framework.

This action sets up a ROS and ROS 2 environment for use in GitHub actions.

Google's C++ test framework.

The pytest framework makes it easy to write small tests, yet scales to support complex functional testing.

The fastest feature-rich C++11/14/17/20 single-header testing framework for unit tests and TDD.

Contains testing tools for C++, and is used in OSRF projects.

ROS package to run coverage testing.

GitHub Action to build and test ROS 2 packages using colcon.

GitHub action to run linters on ROS 2 packages.

Static analysis of C/C++ code.

Dockerfile linter, validate inline bash, written in Haskell.

A static analysis tool for shell scripts.

Checks package configurations for the catkin build system of ROS.

Pylint is a Python static code analysis tool which looks for programming errors, helps enforcing a coding standard, sniffs for code smells and offers simple refactoring suggestions.

The uncompromising Python code formatter.

A static analysis tool for checking compliance with Python docstring conventions.

Static analysis of ROS application code.

Data parsing and validation using Python type hints.

Traces all memory allocations and annotates these events with stack traces.

It lets you see in real-time what functions a Python program is running.

Performant type-checking for python.

Visualize profiled code.

GPU Trace Visualizer.

AddressSanitizer, ThreadSanitizer, MemorySanitizer.

C++ Insights - See your source code with the eyes of a compiler.

Python Performance Benchmark Suite.

QIRA is a competitor to strace and gdb.

GDBFrontend is an easy, flexible and extensionable gui debugger.

Allows to easily create arbitrary ROS2 systems and then measures their performance.

Tools for BPF-based Linux IO analysis, networking, monitoring, and more.

A real time, nanosecond resolution, remote telemetry frame profiler for games and other applications.

High-level tracing language for Linux eBPF.

Full-screen console debugger for Python.

A beautiful stack trace pretty printer for C++.

GDB dashboard is a standalone .gdbinit file written using the Python API that enables a modular interface showing relevant information about the program being debugged.

The Linux perf GUI for performance analysis.

A python module for monitoring memory consumption of a process as well as line-by-line analysis of memory consumption for python programs.

This fuzzer aims to help developers and researchers to find bugs and vulnerabilities in ROS nodes by performing fuzz tests over topics that the target nodes process.

An extension for VS Code that visualizes data during debugging.

Debug your GitHub Actions via SSH by using tmate to get access to the runner system itself.

ROS 2 library providing classes to collect measurements and calculate statistics across them.

Lightweight, real-time system metrics collector for ROS2 systems.

A CLI interface to git that relies heavily on fzf.

Meld is a visual diff and merge tool that helps you compare files, directories, and version controlled projects.

Text-mode interface for git.

A graphical user interface for git.

The highly caffeinated Git GUI.

A Python package providing access to the GitLab server API.

Removes large or troublesome blobs like git-filter-branch does, but faster.

Tools for diffing and merging of Jupyter notebooks.

Fully automated version management and package publishing.

A tool for exploring each layer in a docker image.

Management and versioning of datasets and machine learning models.

A git repository visualizer, sandbox, and a series of educational tutorials and challenges.

You can mount a remote repository's branch locally, and any subsequent changes made to the files will be automatically committed to the remote.

Encrypts files with permitted users' public keys, allowing users you trust to access encrypted data using pgp and their secret keys.

A command-line tool that helps you clean up Git branches that have been merged into master.

A simple terminal UI for git commands, written in Go with the gocui library.

An open-source GitLab command line tool.

A Inverse Kinematics library for serial robots, parallel robots and hybrids of both.

A simple method for finding the extrinsic calibration between a 3D lidar and a 6-dof pose sensor.

The Kalibr visual-inertial calibration toolbox.

Self-Supervised Extrinsic Calibration using 3D Spatial Transformer Networks.

ROS package to find a rigid-body transformation between a LiDAR and a camera.

Reflectance Intensity Assisted Automatic and Accurate Extrinsic Calibration of 3D LiDAR.

Simple, straighforward ROS library for hand-eye calibration.

A ROS package tool to analyze the IMU performance.

IMU Allan standard deviation charts for use with Kalibr and inertial kalman filters.

A full-featured Python module for representing and using quaternions.

This package offers calibration of a number of parameters of a robot, such as: 3D Camera intrinsics, extrinsics Joint angle offsets and robot frame offsets.

Contains a calibration tool to calibrate a sensor setup consisting of lidars, radars and cameras.

A Real-Time Fiducial Tag using Point Clouds Lidar Data.

Extrinsic and intrinsic calbration of cameras.

An Inverse Kinematics library aiming performance and modularity.

Calibrate the extrinsic parameters between Livox LiDAR and camera.

Camera LiDAR Calibration using ROS, OpenCV, and PCL.

Contains code that implements video reconstruction from event data for calibration.

ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite.

C++ implementation to Detect, track and classify multiple objects using LIDAR scans or point cloud.

ROS package for dynamic obstacle avoidance for ground robots trained with deep RL.

RGB-based pipeline for object detection and 6D pose estimation.

A stack for the perception packages which are used in JSK lab.

Gibson Environments: Real-World Perception for Embodied Agents.

Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion.

A package for 6D pose tracking of dynamic objects when object's CAD model is available.

A toolkit for making real world machine learning and data analysis applications in C++.

The fastai library simplifies training fast and accurate neural nets using modern best practices.

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Distributed Evolutionary Algorithms in Python.

A toolkit for developing and comparing reinforcement learning algorithms.

A ROS package that allows to do Tensorflow inference in C++ without the need to compile TF yourself.

TensorFlow Federated (TFF) is an open-source framework for machine learning and other computations on decentralized data.

Fast, Scalable Quantized Neural Network Inference on FPGAs.

Neuropod is a library that provides a uniform interface to run deep learning models from multiple frameworks in C++ and Python.

This is a fairly faithful reimplementation of the system described in the Alpha Go Zero paper "Mastering the Game of Go without Human Knowledge".

A library for deep learning that focuses on sequence models and reinforcement learning.

A platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models.

Visualizer for neural network, deep learning and machine learning models.

A blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba.

An open-source deep reinforcement learning framework, with an emphasis on modularized flexible library design and straightforward usability for applications in research and practice.

A research framework for fast prototyping of reinforcement learning algorithms.

Was developed with a focus on reproducibility, fast experimentation and code/ideas reusing.

A fast and simple framework for building and running distributed applications.

A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

An open source end-to-end platform for applied reinforcement learning (RL) developed and used at Facebook.

A curated list of awesome mobile machine learning resources for iOS, Android, and edge devices.

Learning Convolutional Neural Networks with Interactive Visualization.

A collection of machine-learned models for use in autonomous driving applications.

A set of Gstreamer plugins and ROS examples that allow Gstreamer developers to adopt neural network models easily and efficiently and neural network developers to manage neural network pipelines and their filters easily and efficiently.

Parallel computing with task scheduling for Python.

NumPy-like API accelerated with CUDA.

A C++ parallel programming library which resembles the C++ Standard Library.

A general purpose GPU library.

VexCL is a C++ vector expression template library for OpenCL/CUDA/OpenMP.

An open-source project from Xilinx that makes it easy to design embedded systems with Zynq All Programmable Systems on Chips.

NumPy aware dynamic Python compiler using LLVM.

A C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.

Provides a heterogeneous implementation of the C++ Standard Library that can be used in and between CPU and GPU code.

A collection of computer vision pre-trained models.

Fills the gap between getting raw images from a camera driver and higher-level vision processing.

Provides a ROS-adaptered runtime framework of neural network which quickly deploys applications and solutions for vision inference.

Wraps the ViSP moving edge tracker provided by the ViSP visual servoing library into a ROS package.

A ROS wrapper of the AprilTag 3 visual fiducial detector.

Deep Object Pose Estimation.

Detect-and-Track: Efficient Pose.

An unsupervised learning framework for depth and ego-motion estimation.

Image augmentation for machine learning experiments.

Packages for interfacing ROS with OpenCV, a library of programming functions for real time computer vision.

YOLO ROS: Real-Time Object Detection for ROS.

YOLACT / YOLO ( among other things ) on NCNN inference engine for ROS.

Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.

Simple Qt interface to try OpenCV implementations of SIFT, SURF, FAST, BRIEF and other feature detectors and descriptors.

A simple, fully convolutional model for real-time instance segmentation.

Real-Time 3D Semantic Reconstruction from 2D data.

A next-generation research platform for object detection and segmentation.

Official implementation of Joint Monocular 3D Vehicle Detection and Tracking.

The goal of PySOT is to provide a high-quality, high-performance codebase for visual tracking research.

Real time semantic slam in ROS with a hand held RGB-D camera.

We propose KITTI scan unfolding in our paper Scan-based Semantic Segmentation of LiDAR Point Clouds: An Experimental Study.

Official PyTorch implementation of self-supervised monocular depth estimation methods invented by the ML Team at Toyota Research Institute (TRI).

This work proposes a simple yet accurate real-time baseline 3D multi-object tracking system.

Official implementation of "MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation" in PyTorch.

Resources for deep learning with satellite & aerial imagery.

Semantic segmentation on aerial and satellite imagery.

Model for General Visual Representation Learning created by Google Research.

A Lightweight Encoder-Decoder Network for Real-time Semantic Segmentation.

This project aims at providing a fast, modular reference implementation for semantic segmentation models using PyTorch.

A Simple and Versatile Framework for Object Detection and Instance Recognition.

Meshroom is a free, open-source 3D Reconstruction Software based on the AliceVision Photogrammetric Computer Vision framework.

Ready-to-use Optical character recognition (OCR) with 40+ languages supported including Chinese, Japanese, Korean and Thai.

A general python framework for visual object tracking and video object segmentation, based on PyTorch.

Deep learning inference nodes for ROS with support for NVIDIA Jetson TX1/TX2/Xavier and TensorRT.

HyperPose: A Flexible Library for Real-time Human Pose Estimation.

Privacy preserving tool against facial recognition systems.

An anonymizer to obfuscate faces and license plates.

Only saves surveyed meta-data, in particular the path an object moved or number of counted objects at a certain point.

TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks.

C++ image processing and machine learning library with using of SIMD: SSE, SSE2, SSE3, SSSE3, SSE4.1, SSE4.2, AVX, AVX2, AVX-512, VMX(Altivec) and VSX(Power7), NEON for ARM.

A Photogrammetric Computer Vision Framework which provides a 3D Reconstruction and Camera Tracking algorithms.

A python library for reading and manipulating meteorological remote sensing data and writing it to various image and data file formats.

A collection of open source Python packages that have been developed to seamlessly access and process spatio-temporal image sequences acquired by any satellite fleet in a timely and automatic manner.

A fast image processing library with low memory needs.

Framework for large-scale SAR satellite data processing.

TUM Roborace Team Software Stack - Path tracking control, velocity control, curvature control and state estimation.

A lean C++ library for working with point cloud data.

Open3D: A Modern Library for 3D Data Processing.

Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation.

ROS nodes to read and write point clouds from and to files (e.g. ply, vtk).

Python bindings to the pointcloud library.

An "Iterative Closest Point" library for 2-D/3-D mapping in Robotics.

Fast and robust clustering of point clouds generated with a Velodyne sensor.

Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving.

LiDAR point cloud ground filtering / segmentation (bare earth extraction) method based on cloth simulation.

A highly configurable LaserScan/PointCloud2 filter that allows to dynamically remove the 3D body of the robot from the measurements.

Universal grid map library for mobile robotic mapping.

Robot-centric elevation mapping for rough terrain navigation.

Contains simple usage explanations of how the RangeNet++ inference works with the TensorRT and C++ interface.

Converts a 3D Point Cloud into a 2D laser scan.

An Efficient Probabilistic 3D Mapping Framework Based on Octrees.

Point Processing Toolkit from HEREMaps.

A new voxel layer leveraging modern 3D graphics tools to modernize navigation environmental representations.

Award-winning software for efficient LiDAR processing.

A general PyTorch-based codebase for 3D object detection from point cloud.

A C++ BSD library for translating and manipulating point cloud data.

Builds a potree octree from las, laz, binary ply, xyz or ptx files.

A collection of GICP-based fast point cloud registration algorithms.

Multi-threaded and SSE friendly NDT algorithm.

A ROS packages that extracts line segments from LaserScan messages.

Implementation of the Go-ICP algorithm for globally optimal 3D pointset registration.

A simple and general framework for feature learning from point clouds.

The LiDAR segmenters library, for segmentation-based detection.

Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps.

An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation.

Takes in point cloud from a Velodyne VLP-16 Lidar and outputs a traversability map for autonomous navigation in real-time.

Simulation-based Lidar Super-resolution for Ground Vehicles.

A library that implements rapid 3D data processing and robotics computation using CUDA.

Implementation of the ground segmentation algorithm.

A library for compressing and decompressing 3D geometric meshes and point clouds.

Deep Hough Voting for 3D Object Detection in Point Clouds.

Provides lidar motion undistortion based on an external 6DoF pose estimation input.

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs.

Efficient Semantic Segmentation of Large-Scale Point Clouds.

A first 3D Object Detection toolbox which provides off the box implementations of many 3D object detection algorithms such as PointPillars, SECOND, PIXOR.

A modified Siamese Network that predicts the overlap and relative yaw angle of a pair of range images generated by 3D LiDAR scans.

A repertory of multi primitive-to-primitive (MP2P) ICP algorithms in C++.

A Toolbox for LiDAR-based 3D Object Detection.

Pytorch framework for doing deep learning on point clouds.

Polygonal Surface Reconstruction from Point Clouds.

Next-generation platform for general 3D object detection.

Takes a point cloud as input and produces pose estimates of viable grasps as output.

Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving.

Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation).

A PyTorch Library for Accelerating 3D Deep Learning Research.

A low-cost SLAM system based on camera and Livox lidar.

Structure Aware Single-stage 3D Object Detection from Point Cloud.

Accelerating Lidar for Robotics with NVIDIA CUDA-based PCL.

Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles.

Remove then revert. Static map construction in the wild and dynamic points removing tool by constructing a static map.

A LiDAR Odometry pipeline that just works on most of the cases without tunning any parameter.

Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.

Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping).

Advanced implementation of LOAM.

Fast and Optimized Lidar Odometry And Mapping.

Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping.

Provides ROS integration for Cartographer.

A robust LiDAR Odometry and Mapping (LOAM) package for Livox-LiDAR.

Use LiDAR to map the static world.

Semantic Mapping using Surfel Mapping and Semantic Segmentation.

Slam Toolbox for lifelong mapping and localization in potentially massive maps with ROS .

An open visual-inertial mapping framework.

An open source ROS package for real-time 6DOF SLAM using a 3D LIDAR.

In contrast to existing automatic SLAM packages, we with minimal human effort.

Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain.

Contains a monocular Visual Odometry (VO) pipeline in Python.

A robust, low drift, and real time highway SLAM package suitable for Livox Horizon lidar.

A Modular System for Localization and Mapping.

Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DOF Relocalization.

LaMa is a C++11 software library for robotic localization and mapping.

Global LiDAR descriptor for place recognition and long-term localization.

Robust Odometry and Mapping for Multi-LiDAR Systems with Online Extrinsic Calibration.

A robust, low drift, and real time highway SLAM package suitable for Livox Horizon lidar.

A ROS implementation of ORB_SLAM2.

In this extensions the map of ORB-features be saved to the disk as a reference for future runs along the same track.

Direct Sparse Odometry.

A ROS wrapper for libviso2, a library for visual odometry.

X Inertial-aided Visual Odometry.

Robust Visual Inertial Odometry Framework.

Large-Scale Direct Monocular SLAM is a real-time monocular SLAM.

Monocular 3D Object Detection and SLAM Package of CubeSLAM and ORB SLAM.

A Robust and Versatile Multi-Sensor Visual-Inertial State Estimator.

OpenVSLAM: A Versatile Visual SLAM Framework.

Visual-Inertial Mapping with Non-Linear Factor Recovery.

A C++ library for real-time metric-semantic simultaneous localization and mapping, which uses camera images and inertial data to build a semantically annotated 3D mesh of the environment.

A ROS-based package for Simultaneous Localization and Mapping using AprilTag fiducial markers.

A lightweight, accurate and robust monocular visual inertial odometry based on Multi-State Constraint Kalman Filter.

Simultaneous localization and mapping using fiducial markers.

An open source platform for visual-inertial navigation research.

ORB_SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM.

End-to-End 3D Scene Reconstruction from Posed Images.

This library focuses on the front-end of VIO pipelines with CUDA.

A modular toolbox for state-of-the-art 6-DoF visual localization. It implements Hierarchical Localization, leveraging image retrieval and feature matching, and is fast, accurate, and scalable.

A novel pipeline for real-time visual odometry using a stereo event-based camera.

An open source differentiable dense SLAM library for PyTorch.

A Blender add-on to import models from google maps.

Map handling framework for automated driving.

Online and Offline map matching that can be used stand-alone and in the cloud.

The easy-to-use OpenStreetMap editor in JavaScript.

An enhanced version of iD for mapping with AI created by Facebook.

A map representation based on 3D segments.

A JavaScript library for interactive, customizable vector maps on the web.

Open Source Routing Machine - C++ backend.

Desktop based tool for viewing, editing and saving road network maps for autonomous vehicle platforms such as Autoware.

A project to add support for geographic data to pandas objects.

Plugins to make Autoware vector maps in Unity.

An index of aerial and satellite imagery useful for mapping.

A library for processing and uploading images to Mapillary.

Combines pixel-perfect image output with lightning-fast cartographic algorithms, and exposes interfaces in C++, Python, and Node.

GDAL is an open source X/MIT licensed translator library for raster and vector geospatial data formats.

GRASS GIS - free and open source Geographic Information System (GIS).

Specification for streaming massive heterogeneous 3D geospatial datasets.

Python for street networks. Retrieve, model, analyze, and visualize street networks and other spatial data from OpenStreetMap.

A selection of state-of-the-art research materials on trajectory prediction.

Socially Acceptable Trajectories with Generative Adversarial Networks.

Graphical Editor to create BehaviorTrees. Compliant with BehaviorTree.CPP.

Behavior Trees Library in C++.

Uses hierarchical state machines, featuring concurrent state execution, to represent robot programs.

Generic framework for task planning in a ROS system.

Library implementing the Responsibility Sensitive Safety model (RSS) for Autonomous Vehicles.

This library provides the functionality to set up your own behavior tree logic by using the defined tree structures like Fallback, Sequence or Parallel Nodes.

An Event-Driven, Asynchronous, Behavioral State Machine Library for real-time ROS (Robotic Operating System) applications written in C++ .

Behaviours, trees and utilities that extend py_trees for use with ROS.

Designed to enable fast iterations and to empower programmers to create content creation tools and visualization / debug tools.

Provides an uniform layer to support PyQt5, PySide2, PyQt4 and PySide with a single codebase.

Mir is set of libraries for building Wayland based shells.

This is Cage, a Wayland kiosk. A kiosk runs a single, maximized application.

Easy-to-use Raspberry Pi image for booting directly into full-screen Chrome.

A tool for making diagrams and GUI prototyping that everyone can use.

Allows modifying parameters of a ROS node using the dynamic_reconfigure framework without having to write cfg files.

A lightweight, fine-grained, resolution independent, modular GUI library.

A minimalistic cross-platform widget library for OpenGL 3.x or higher.

A Python module written in C containing classes for a wide variety of audio signal processing types.

Rhasspy (pronounced RAH-SPEE) is an offline, multilingual voice assistant toolkit inspired by Jasper that works well with Home Assistant, Hass.io, and Node-RED.

Mycroft is a hackable open source voice assistant.

A library of differentiable versions of common DSP functions (such as synthesizers, waveshapers, and filters).

Creates a virtual microphone that suppresses noise, in any application.

An open source Speech-To-Text engine, using a model trained by machine learning techniques based on Baidu's Deep Speech research paper.

A Flow-based Generative Network for Speech Synthesis.

A deep learning toolkit for Text-to-Speech, battle-tested in research and production.

Master the command line, in one page.

Powerful zsh and vim dotfiles.

A tool that bootstraps your dotfiles.

A beautiful zsh prompt.

A code-searching tool similar to ack, but faster.

A command-line fuzzy finder.

Interactive package manager and resource monitor designed for the GNU/Linux.

A cross platform package to do curses-like operations, plus higher level APIs and widgets to create text UIs and ASCII art animations.

Minimalist Go package aimed at creating Console User Interfaces.

Small C++ program to display images in a (modern) terminal using RGB ANSI codes and unicode block graphics characters.

Visualize ROS topics inside a terminal with Unicode/ASCII art.

Library for building powerful interactive command line applications in Python.

Drop-down terminal for GNOME.

Multi-User Tmux Made Easy.

A session manager built on libtmux.

World map renderer for your console.

A cat(1) clone with wings.

Command-line tool and terminal JSON viewer.

Instant terminal sharing.

The fastest way to annotate data to build and ship artificial intelligence applications.

Annotate quickly images.

A graphical image annotation tool and label object bounding boxes in images.

Powerful and efficient Computer Vision Annotation Tool (CVAT).

Tool for labeling of a single point clouds or a stream of point clouds.

Label Studio is a multi-type data labeling and annotation tool with standardized output format.

A fast, interactive, multi-dimensional image viewer for python.

A web based labeling tool for creating AI training data sets (2D and 3D).

3D Bounding Box Annotation Tool for Point cloud and Image Labeling.

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

Provides you with a easy to use labeling tool for State-of-the-art Deep Learning training purposes.

Lightweight tool to annotate point clouds with bounding boxes, rectangles, keypoints and more.

CloudCompare is a 3D point cloud (and triangular mesh) processing software.

WebGL point cloud viewer for large datasets.

Makes viewing massive point clouds easy and convenient.

Performs real-time visualization and easy processing of live captured 3D LiDAR data from Lidar sensors.

Performs real-time visualization of live captured 3D LiDAR data from Velodyne's HDL sensors.

A data organization library for massive point clouds, designed to conquer datasets of trillions of points as well as desktop-scale point clouds.

A C++ & Python viewer for 3D data like meshes and point clouds.

Point cloud importer & renderer for Unity.

A web-application for virtual reality devices to explore 3D data in the most natural way possible.

Modular ROS visualization tool for 2D data.

Easy to use tools to create and edit trajectories for the rviz camera.

Display internet satellite imagery in RViz.

C++ API wrapper for displaying shapes and meshes in Rviz.

Visualization of motion-plans for legged robots.

Jsk visualization ros packages for rviz and rqt.

Helper functions for displaying and debugging MoveIt! data in Rviz via published markers.