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Track2Data

Turn idtracker.ai output folders into analysis-ready behavioural datasets: 50 cited metrics, documented units, and a record of which frames were measured or reconstructed.

The repository holds the version-pinned documentation — the user guide, the metrics specification, the format analyses. This wiki holds what sits around it: how to get from an export to a statistical result, what the terms mean, and what is currently in flux.

Start here

• Installing it? Install and First Run — including the unsigned-binary dialogs.
• Planning a recording? Before You Record — what to decide before the camera starts.
• New to the app? The User Guide — every screen, with screenshots.
• Got an export, now what? Analysis Recipes — four worked designs, from CSV to model.
• Writing the methods section? Statistics and Pseudoreplication.
• What does this column mean? Glossary.

Before you publish

• Known Issues — what is wrong or in flux right now, reviewed each release.
• Reanalysing After a Metric Fix — metric definitions are still being corrected (pre-1.0); this is how to check an older export is still current.
• The changelog for what changed between your version and this one.

Also here

• Compatibility — what reads what, on which systems.
• Formats and Interoperability — what can be read, and reading the output elsewhere.
• Citing Track2Data — the tracker, the tool, and the metric references.
• FAQ and Troubleshooting.
• Developer Docs — contributing, architecture, releasing.

Source: https://github.com/mbel-tech/Track2Data