Concepts
For a deeper understanding of how your logging data can be organized and visualized, it is useful to learn about the underlying concepts in Rerun.
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How does Rerun work?
The high-level architecture and how the pieces fit together
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Log and Ingest
How data is structured, batched, and sent to Rerun
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Visualize
How data is laid out and displayed in the Viewer
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Query and Transform
The catalog, dataframe queries, and reshaping data with lenses
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Train
Feed catalog recordings into training pipelines via export or PyTorch