Rerun

@rerundotio • 6,562 subscribers

Rerun is an open-source SDK for visualizing streams of multimodal data. ⭐ GitHub https://t.co/yf1KZN7DBI 👾 Discord https://t.co/7PIlvsZO9n

Shorts

Rerun 0.29 is out 🚀 Big improvements for robotics workflows: better URDF handling, refreshed ROS 2 docs, and a new memory panel to debug your recordings. It also adds an experimental screenshotting API. Here's what's new 🧵

Rerun 0.29 is out 🚀 Big improvements for robotics workflows: better URDF handling, refreshed ROS 2 docs, and a new memory panel to debug your recordings. It also adds an experimental screenshotting API. Here's what's new 🧵

22,315 görüntüleme

1/ We just raised $17M to build the multimodal data stack for Physical AI! 🚀 Lead: Point Nine With: @CostanoaVC, Sunflower Capital, seedcamp Angels including: Guillermo Rauch, Eric Jang, Oliver Cameron, Wes McKinney , Nicolas Dessaigne , Arnav Bimbhet Thesis:

1/ We just raised $17M to build the multimodal data stack for Physical AI! 🚀 Lead: Point Nine With: @CostanoaVC, Sunflower Capital, seedcamp Angels including: Guillermo Rauch, Eric Jang, Oliver Cameron, Wes McKinney , Nicolas Dessaigne , Arnav Bimbhet Thesis:

29,457 görüntüleme

The upcoming Rerun 0.17 brings a huge increase in explicit control over your visualizations 🚀 In this video for example we dynamically change the visualizer that is applied on an entity from Mesh3D to Points3D and then edit the radius of the points. Because this mesh has vertex colors, the point cloud automatically becomes colored as well. All of this can be done either from UI or from code. We’ll release 0.17 next week. Stay tuned.

The upcoming Rerun 0.17 brings a huge increase in explicit control over your visualizations 🚀 In this video for example we dynamically change the visualizer that is applied on an entity from Mesh3D to Points3D and then edit the radius of the points. Because this mesh has vertex colors, the point cloud automatically becomes colored as well. All of this can be done either from UI or from code. We’ll release 0.17 next week. Stay tuned.

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Did you know that NVIDIA's Isaac Lab comes with a Rerun viewer?

Did you know that NVIDIA's Isaac Lab comes with a Rerun viewer?

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Introducing Rerun 0.13! With this release Rerun is (to our knowledge) the first publicly available multimodal visualizer with timeline scrolling that supports live visualization of time series in the kHz range. This is made possible by a 20-30x performance increase of time series plots.

Introducing Rerun 0.13! With this release Rerun is (to our knowledge) the first publicly available multimodal visualizer with timeline scrolling that supports live visualization of time series in the kHz range. This is made possible by a 20-30x performance increase of time series plots.

25,580 görüntüleme

A Rerun Viewer for the DROID Dataset! DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset is a robot manipulation dataset by Alexander Khazatsky et al. with 76k demonstration trajectories or 350h of interaction data, collected across 564 scenes and 86 tasks.

A Rerun Viewer for the DROID Dataset! DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset is a robot manipulation dataset by Alexander Khazatsky et al. with 76k demonstration trajectories or 350h of interaction data, collected across 564 scenes and 86 tasks.

21,760 görüntüleme

Rerun 0.20 is out! 🗺📍🎥 It adds early support for geospatial data with the new GeoPoints and GeoLineStrings archetypes and a map view. It also adds H.264 video support to the native viewer together with many performance and stability improvements for video in Rerun.

Rerun 0.20 is out! 🗺📍🎥 It adds early support for geospatial data with the new GeoPoints and GeoLineStrings archetypes and a map view. It also adds H.264 video support to the native viewer together with many performance and stability improvements for video in Rerun.

10,906 görüntüleme

Videos

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We recently crossed 10,000 GitHub stars on Rerun 😍 That's great and all, but something bigger is happening in robotics and Physical AI right now: The open-source ecosystem has seen real acceleration over the last few years. More teams are sharing real infrastructure: datasets, models, simulators, tooling, and the unglamorous plumbing that makes iteration possible. Jan Florian Maas, Physical Intelligence, Hugging Face are just some of the names driving this forward. Visualization and data infra belong in that category. If your entire data loop depends on being able to query and inspect what your robots are doing, that layer can’t be fragile or vendor-controlled. It needs to be something you can introspect, build on, extend, and trust long-term. Huge thanks to everyone building open-source robotics. The next decade of Physical AI will be built in the open.

We recently crossed 10,000 GitHub stars on Rerun 😍 That's great and all, but something bigger is happening in robotics and Physical AI right now: The open-source ecosystem has seen real acceleration over the last few years. More teams are sharing real infrastructure: datasets, models, simulators, tooling, and the unglamorous plumbing that makes iteration possible. Jan Florian Maas, Physical Intelligence, Hugging Face are just some of the names driving this forward. Visualization and data infra belong in that category. If your entire data loop depends on being able to query and inspect what your robots are doing, that layer can’t be fragile or vendor-controlled. It needs to be something you can introspect, build on, extend, and trust long-term. Huge thanks to everyone building open-source robotics. The next decade of Physical AI will be built in the open.

29,684 görüntüleme • 3 ay önce

🚀 Rerun 0.23 is out! The highlights: 🔸Backwards-compatible .rrd – open today’s recordings with tomorrow’s viewer. 🔸 Viewer callbacks – wire the viewer into your notebooks or web apps and react to selections and time-scrubs in real-time, e.g., to build annotation tools. 👇

🚀 Rerun 0.23 is out! The highlights: 🔸Backwards-compatible .rrd – open today’s recordings with tomorrow’s viewer. 🔸 Viewer callbacks – wire the viewer into your notebooks or web apps and react to selections and time-scrubs in real-time, e.g., to build annotation tools. 👇

55,438 görüntüleme • 1 yıl önce

Debug ROS 2 transforms in Rerun 💡 ROS 2’s tf2 gives robotics teams a shared language for tracking coordinate frames over time — transforming data between things like camera_link and base_link. Rerun supports the same idea with named transforms, letting you decouple spatial relationships from your entity hierarchy. This example skips the basics of transforms in Rerun (you can find that in our docs) and instead shows how to debug broken/missing transforms in practice, using the JKK dataset. Check out the how-to 👇

Debug ROS 2 transforms in Rerun 💡 ROS 2’s tf2 gives robotics teams a shared language for tracking coordinate frames over time — transforming data between things like camera_link and base_link. Rerun supports the same idea with named transforms, letting you decouple spatial relationships from your entity hierarchy. This example skips the basics of transforms in Rerun (you can find that in our docs) and instead shows how to debug broken/missing transforms in practice, using the JKK dataset. Check out the how-to 👇

15,982 görüntüleme • 4 ay önce

We're developing a native LeRobot data loader. It's a work in progress because the datasets vary greatly, but it's starting to be useful. Try it out with the latest 0.22.1 release! If you encounter any snags, let us know so we can resolve them quickly. cc Remi Cadene

We're developing a native LeRobot data loader. It's a work in progress because the datasets vary greatly, but it's starting to be useful. Try it out with the latest 0.22.1 release! If you encounter any snags, let us know so we can resolve them quickly. cc Remi Cadene

23,899 görüntüleme • 1 yıl önce

Rerun 0.21 is out! With it we’re introducing graphs in Rerun

Rerun 0.21 is out! With it we’re introducing graphs in Rerun

17,023 görüntüleme • 1 yıl önce

Rerun 0.22 is out! 🔎🟡🔜🔵 The release brings long-requested entity filtering for finding data faster in the Viewer, significantly simplified APIs for partial & columnar updates, and many other enhancements. At Rerun we’re building the multimodal data stack for physical AI. Our open-source visualization tools help you model and visualize your data over time.

Rerun 0.22 is out! 🔎🟡🔜🔵 The release brings long-requested entity filtering for finding data faster in the Viewer, significantly simplified APIs for partial & columnar updates, and many other enhancements. At Rerun we’re building the multimodal data stack for physical AI. Our open-source visualization tools help you model and visualize your data over time.

14,994 görüntüleme • 1 yıl önce

Check out the Neural Graph Mapping for Dense SLAM with Efficient Loop Closure paper by Leonard Bruns, Jun Zhang, and Patric Jensfelt, visualized with Rerun. “Existing neural field-based SLAM methods typically employ a single monolithic field as their scene representation. This prevents efficient incorporation of loop closure constraints and limits scalability. To address these shortcomings, we propose a neural mapping framework which anchors lightweight neural fields to the pose graph of a sparse visual SLAM system.”

Check out the Neural Graph Mapping for Dense SLAM with Efficient Loop Closure paper by Leonard Bruns, Jun Zhang, and Patric Jensfelt, visualized with Rerun. “Existing neural field-based SLAM methods typically employ a single monolithic field as their scene representation. This prevents efficient incorporation of loop closure constraints and limits scalability. To address these shortcomings, we propose a neural mapping framework which anchors lightweight neural fields to the pose graph of a sparse visual SLAM system.”

12,861 görüntüleme • 2 yıl önce

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