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README.md

Python miscellaneous

Miscellaneous Python code.

Description


  • One vs. Others (Jupyter notebook) Shows how the Dynamic Time Warping minimum-warp optimal path could be used to assess anticipation or delay of one moving body compared to others.
  • DTW, Minimum-Warp Path, and Pointwise Lag (Jupyter notebook) Two methods for the Dynamic Time Warping algorithm: a library function, and a procedural script. Also algorithms to reduce the time-warping of the optimal path and to get its pointwise lag.

  • Novelty Demonstration Shows the computation of a novelty score comparing the methods 'offline' (Foote, 2000) and 'online' (Schätti, 2007).