Metadata-Version: 2.4
Name: torch-segment-fiducials-2d
Version: 0.5.0
Summary: A small pre-trained residual U-Net for gold fiducial segmentation in cryo-EM images
Project-URL: homepage, https://github.com/teamtomo/teamtomo
Project-URL: repository, https://github.com/teamtomo/teamtomo
Author-email: Alister Burt <alisterburt@gmail.com>
License: BSD-3-Clause
License-File: LICENSE
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Classifier: Typing :: Typed
Requires-Python: >=3.11
Requires-Dist: einops
Requires-Dist: imageio
Requires-Dist: lightning
Requires-Dist: mrcfile
Requires-Dist: notebook>=7.4.3
Requires-Dist: numpy
Requires-Dist: pooch
Requires-Dist: scipy
Requires-Dist: tiler
Requires-Dist: torch
Requires-Dist: torch-fourier-rescale>=0.1.1
Requires-Dist: torchvision
Requires-Dist: typer
Requires-Dist: zenodo-get
Description-Content-Type: text/markdown

# torch-segment-fiducials-2d

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A small pre-trained residual U-Net for gold fiducial segmentation in cryo-EM images.

Documentation available at
[teamtomo.org/torch-segment-fiducials-2d](https://teamtomo.org/torch-segment-fiducials-2d)

<p align="center">
  <img src="./docs/assets/torch-segment-fiducials-2d.png" width="600" alt="result of using torch-segment-fiducials-2d">
</p>
