Published May 19, 2014
| Version v0.2.0
Software
Open
Trackpy v0.2
- 1. Johns Hopkins University
- 2. Brookhaven National Lab
- 3. University of Pennsylvania
Description
Version 0.2
The version contains significant enhancements, including:
- Much-improved feature-finding, merged from Daniel Allan's mr project (feature.py, replacing identification.py) with uncertainty estimation, along with tools for filtering, analyzing, and plotting trajectories
- Prediction framework for tracking particles whose motion is correlated between frames (Nathan Keim)
- KDTree-based linking, merged from Nathan Keim's branch of trackpy, which is 2X faster on typical data
- Numba-accelerated linking and feature-finding, falling back on pure Python if numba is not available
- Features for processing large data sets "out of core" (on disk)
- Access to different linking strategies through keyword arguments (Type help(link) or help(link_df) for details.)
- Simple, fast way to read and write data in files; easily extensible to formats used by individual research groups
- A set of examples and guides, provided separately
Files
trackpy-v0.2.0.zip
Files
(9.4 MB)
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Additional details
Related works
- Is supplement to
- https://github.com/soft-matter/trackpy/tree/v0.2.0 (URL)