wehub-resource-sync
35 lines
2.0 KiB
Markdown
35 lines
2.0 KiB
Markdown
<!--[metadata]
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title = "LeRobot dataset from RRD"
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source = "https://github.com/rerun-io/rerun-lerobot"
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tags = ["Robotics", "MCAP", "LeRobot", "Dataset", "Server"]
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thumbnail = "https://static.rerun.io/rerun_export/f3b727db8bbe3ecf6894707ac7770d3d8fc8bf1f/480w.png"
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thumbnail_dimensions = [480, 384]
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-->
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<picture>
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<img src="https://static.rerun.io/rerun_export/f3b727db8bbe3ecf6894707ac7770d3d8fc8bf1f/full.png" alt="">
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<source media="(max-width: 480px)" srcset="https://static.rerun.io/rerun_export/f3b727db8bbe3ecf6894707ac7770d3d8fc8bf1f/480w.png">
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<source media="(max-width: 768px)" srcset="https://static.rerun.io/rerun_export/f3b727db8bbe3ecf6894707ac7770d3d8fc8bf1f/768w.png">
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<source media="(max-width: 1024px)" srcset="https://static.rerun.io/rerun_export/f3b727db8bbe3ecf6894707ac7770d3d8fc8bf1f/1024w.png">
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<source media="(max-width: 1200px)" srcset="https://static.rerun.io/rerun_export/f3b727db8bbe3ecf6894707ac7770d3d8fc8bf1f/1200w.png">
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</picture>
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Convert robot recordings into training-ready datasets by using the OSS Rerun server to query and transform RRD files into LeRobot v3 format.
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## Background
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This example demonstrates how to use the Rerun OSS server API to process robot recordings and prepare them for imitation learning.
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The workflow uses the server to load RRD files, query robot data (actions, observations, videos), align time series to a target frame rate, and write the result as a LeRobot v3 dataset compatible with robotics model training pipelines.
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[LeRobot](https://github.com/huggingface/lerobot) is a project by Hugging Face that provides models, datasets, and tools for real-world robotics in PyTorch. This example shows how Rerun recordings can be converted into LeRobot's standardized dataset format.
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## Run the code
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The code lives in the [`rerun-lerobot`](https://github.com/rerun-io/rerun-lerobot) package, which you can install from PyPI:
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```bash
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pip install rerun-lerobot
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```
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You can find the source and build instructions here: [rerun-lerobot](https://github.com/rerun-io/rerun-lerobot)
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