Metadata-Version: 2.1
Name: tomotwin-cryoet
Version: 0.4.4b0
Summary: Picking procedure for cryo em tomography
Home-page: https://github.com/MPI-Dortmund/tomotwin-cryoet
Author: Gavin Rice, Thorsten Wagner, Markus Stabrin
Author-email: thorsten.wagner@mpi-dortmund.mpg.de
License: Mozilla Public License Version 2.0
Requires-Python: >=3.7.0
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: mrcfile
Requires-Dist: tensorboard
Requires-Dist: numpy (>=1.20.0)
Requires-Dist: scikit-learn
Requires-Dist: scikit-image
Requires-Dist: pystardb (>=0.4.2)
Requires-Dist: pandas (<=2)
Requires-Dist: pytorch-metric-learning (==1.6.3)
Requires-Dist: numba
Requires-Dist: tabulate
Requires-Dist: setuptools-scm
Requires-Dist: tqdm


[![CodeFactor](https://www.codefactor.io/repository/github/mpi-dortmund/tomotwin-cryoet/badge/main)](https://www.codefactor.io/repository/github/mpi-dortmund/tomotwin-cryoet/overview/main)
[![codecov](https://codecov.io/github/MPI-Dortmund/tomotwin-cryoet/branch/main/graph/badge.svg?token=IXLA2N9XB0)](https://codecov.io/github/MPI-Dortmund/tomotwin-cryoet)

# TomoTwin

Particle picking in Tomograms using triplet networks and metric learning

![TomoTwin Logo](resources/images/TomoTwin_black_transparent_cropped.png#gh-light-mode-only)
![TomoTwin Logo](resources/images/TomoTwin_white_transparent_cropped.png#gh-dark-mode-only)

## Instructions

For installation instructions and tutorials please see our [documentation](https://tomotwin-cryoet.readthedocs.io/)

