Skip to main content

LapTrack

Project description

PyPI Status Python Version License

Read the documentation at https://laptrack.readthedocs.io/ Tests Codecov

pre-commit Black Zenodo

Features

Provides a robust particle tracking algorithm using the Linear Assignment Problem, with various cost functions for linking.

Installation

You can install LapTrack via pip from PyPI:

$ pip install laptrack

Usage

Please see the Usage for details.

Contributing

Contributions are very welcome. To learn more, see the Contributor Guide.

License

Distributed under the terms of the The 3-Clause BSD License, LapTrack is free and open source software.

Issues

If you encounter any problems, please file an issue along with a detailed description.

Credits

Citation

If you use this program for your research, please cite it and help us build more.

@misc{laptrack,
   author = {Yohsuke T. Fukai},
   title = {laptrack},
   year  = {2021},
   url   = {https://doi.org/10.5281/zenodo.5519537},
}

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

laptrack-0.1.7a8.tar.gz (16.0 kB view details)

Uploaded Source

Built Distribution

laptrack-0.1.7a8-py3-none-any.whl (16.4 kB view details)

Uploaded Python 3

File details

Details for the file laptrack-0.1.7a8.tar.gz.

File metadata

  • Download URL: laptrack-0.1.7a8.tar.gz
  • Upload date:
  • Size: 16.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for laptrack-0.1.7a8.tar.gz
Algorithm Hash digest
SHA256 639867c7ad02de929bc3ce564a12d5794ffe711f8ab83271e06fb99bba4e89a4
MD5 eb9bbdc5c5a14e03e9e1311d3894f847
BLAKE2b-256 b3f91e26bbe43b1c1df10f692680fdcc60978d3a51838fdb25054c2b0c1b4b31

See more details on using hashes here.

File details

Details for the file laptrack-0.1.7a8-py3-none-any.whl.

File metadata

  • Download URL: laptrack-0.1.7a8-py3-none-any.whl
  • Upload date:
  • Size: 16.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for laptrack-0.1.7a8-py3-none-any.whl
Algorithm Hash digest
SHA256 7a5f18e7f228572a4d0a87ef5751900fc6453b25f16971193e2620dfcf2c0ccb
MD5 3cac2682adb58a6503f8723fad0d2277
BLAKE2b-256 b54e1bf4bff6206a63535e8dae9011da879f0fe7944bca08e3db4aa183e2f03a

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page