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Utilities for DeepLabCut-based jumping experiments

Project description

jumpyng

Helper utilities for processing DeepLabCut jumping experiments, generating QC reports, and computing jump metrics.

Installation

pip install jumpyng

Usage

  • jumpyng.algorithm: bulk data loading, jump detection, and metric calculation helpers.
  • jumpyng.visualization: PDF report generation for quick visual checks.
  • jumpyng.utils: Helper functions used to speed up analysis and contains common functions.
  • jumpyng.validation: Validation tools used for Data Quality QA/QC checks.
  • jumpyng.dlchelper: wrappers for running DeepLabCut and pre-processing data (install with pip install jumpyng[dlc] to use these helpers).

The package is still evolving; APIs may change between minor versions.

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