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-0.1.4.tar.gz (12.6 kB view details)

Uploaded Source

Built Distribution

laptrack-0.1.4-py3-none-any.whl (12.5 kB view details)

Uploaded Python 3

File details

Details for the file laptrack-0.1.4.tar.gz.

File metadata

  • Download URL: laptrack-0.1.4.tar.gz
  • Upload date:
  • Size: 12.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for laptrack-0.1.4.tar.gz
Algorithm Hash digest
SHA256 8456acffec5acdf425ba5498de0526a7dd19077e4f16d938253fa7a037845083
MD5 73ab5e62215f4ebb35fccfc0b86d1b72
BLAKE2b-256 90185d55db6fa0aeb7e58222ee5d76fcc7bc462a9b5441020ab68b13bc6cfcbe

See more details on using hashes here.

File details

Details for the file laptrack-0.1.4-py3-none-any.whl.

File metadata

  • Download URL: laptrack-0.1.4-py3-none-any.whl
  • Upload date:
  • Size: 12.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for laptrack-0.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 5b59008bfd662f58cacc8979af397b3f81ef940e222f5f06136755ad81850400
MD5 2a7ce276077ee50af2e556b45f8d9bda
BLAKE2b-256 8f4e1bdd0a5e8db7545687c7774b62f0e7c06187e3051e57eb78b5c62d146038

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