Skip to main content

PyTorch implementation of 2D and 3D U-Net

Project description

unet

DOI License https://img.shields.io/pypi/v/unet.svg https://img.shields.io/travis/fepegar/unet.svg Documentation Status Updates

PyTorch implementation of 2D and 3D U-Net.

The U-Net architecture was first described in Ronneberger et al. 2015, U-Net: Convolutional Networks for Biomedical Image Segmentation. The 3D version was described in Çiçek et al. 2016, 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation.

Features

  • TODO

Credits

If you used this code for your research, please cite this repository using the information available on its Zenodo entry.

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

History

0.4.0 (2019-10-29)

  • First release on PyPI.

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

unet-0.7.3.tar.gz (12.9 kB view details)

Uploaded Source

Built Distribution

unet-0.7.3-py2.py3-none-any.whl (8.6 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file unet-0.7.3.tar.gz.

File metadata

  • Download URL: unet-0.7.3.tar.gz
  • Upload date:
  • Size: 12.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.14.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.6.9

File hashes

Hashes for unet-0.7.3.tar.gz
Algorithm Hash digest
SHA256 d5289c806738cc0153ece59dcd6c04345526c4707b6232f5c54c95a10678d10c
MD5 e98e26df0a922c4f5501ac916ec35ae9
BLAKE2b-256 dd93694bf5106533fb97f53c24f864bb0eae9c340a40642eb88b8e632eeba8e6

See more details on using hashes here.

File details

Details for the file unet-0.7.3-py2.py3-none-any.whl.

File metadata

  • Download URL: unet-0.7.3-py2.py3-none-any.whl
  • Upload date:
  • Size: 8.6 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.37.0 CPython/3.7.1

File hashes

Hashes for unet-0.7.3-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 029da1d6ca526ad05b6cbf682cf5b1fde4ebee1c2c877fe6a9b647e5593d7226
MD5 fbba71cedb6d26cf4fa8d2e137eb7dcd
BLAKE2b-256 05c5c8f3bc78030e2afc38c54c756428e84f4c2236ed6cd84b62c72cdf183dc8

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