Introduction
Rerun is a powerful SDK designed to assist engineers and researchers in visualizing multimodal data streams over time. It is particularly beneficial for those working in computer vision, robotics, and autonomous driving. The tool allows users to log various data types, including tensors, point clouds, images, and text, and then visualize these streams to gain insights into their systems' internal states and data. With support for C++, Python, and Rust, Rerun is accessible to a wide range of developers. Its high-performance visualization engine, built on Rust WGPU, ensures seamless representation of complex data structures and spatial relationships. The time-aware entity component system simplifies data management across multiple timelines. Rerun's open-source nature and active community on platforms like GitHub and Discord provide additional support and resources for users.
background
Rerun is an open-source project dual-licensed under MIT and Apache 2, targeting individual developers and teams building products that require intelligent processing of multimodal data. It is currently in development as a commercial product aimed at teams, focusing on robust sharing and collaboration around visualizations and data from prototype to production, even with large data volumes.
Features of Rerun
SDK Support
Rerun offers SDK support in C++, Python, and Rust, allowing for easy integration and data logging.
Interactive Visualizations
The tool provides interactive visualizations for live and recorded data streams, enabling dynamic alignment of timelines and customization of layouts.
Time-Aware Data Model
A time-aware entity component system is used for efficient management of data serialization, transport, and ingestion.
High-Performance Engine
Built on Rust WGPU, the visualization engine handles complex data structures and spatial relationships with real-time kHz resolution.
Data Logging
Support for logging a variety of data types including tensors, point clouds, images, and text for comprehensive data analysis.
Open Source
As an open-source project, Rerun benefits from community contributions and is freely available under permissive licenses.
How to use Rerun?
To use Rerun, developers first need to initialize the SDK with their application's name, connect to a remote viewer, and then log data streams using the provided API. Detailed examples and code snippets are available for logging different types of data, such as camera calibration, vehicle pose, LiDAR, and radar data.
Innovative Features of Rerun
Rerun's innovative approach lies in its ability to visualize multimodal data streams in real-time, providing a unique perspective on system behavior and state over time. Its time-aware data model and high-performance engine are designed to handle large volumes of data with minimal performance overhead.
FAQ about Rerun
- How do I install Rerun?
- Rerun can be installed via pip for Python or by including it in your project as a dependency for C++ and Rust.
- What data types are supported for logging?
- Rerun supports logging of tensors, point clouds, images, and text.
- Can I use Rerun for live data visualization?
- Yes, Rerun provides interactive visualizations for both live and recorded data streams.
- How can I share visualizations with my team?
- The upcoming commercial product will offer robust sharing and collaboration features for teams.
- What is the performance like with large data volumes?
- Rerun's high-performance engine is capable of handling large data volumes with real-time kHz resolution.
- Is there a community for support and resources?
- Yes, Rerun has an active community on GitHub and Discord for support, discussions, and sharing resources.
Usage Scenarios of Rerun
Computer Vision Applications
Use Rerun to debug and analyze multimodal data changes over time in computer vision applications.
Robotics Data Analysis
Stream and log complex datasets from robotics for real-time analysis and visualization.
Autonomous Driving Datasets
Visualize large-scale autonomous driving datasets, such as nuScenes, to understand vehicle dynamics and sensor data.
Spatial Computing
Explore and understand spatial relationships and data in spatial computing environments.
Finance Data Visualization
Utilize Rerun for visualizing and analyzing temporal financial data for better decision-making.
User Feedback
Rerun has been instrumental in our autonomous driving research, providing us with real-time visualizations that have significantly improved our debugging process.
As a computer vision engineer, Rerun's ability to handle multimodal data has saved us countless hours of manual data alignment and analysis.
The interactive nature of Rerun's visualizations has been a game-changer for our team. It allows us to dynamically explore data in ways we hadn't thought possible.
Rerun's open-source community has been incredibly supportive. The availability of SDK in multiple languages has made integration a breeze.
others
Rerun's commercial product is currently under development, promising robust features for team collaboration and scalability, which will be a significant asset for larger projects and enterprises.
Useful Links
Below are the product-related links, I hope they are helpful to you.