Skip to main content

2D/3D Image Segmentation with PyTorch

Project description

readme = { file = "README.md", content-type = "text/markdown" }

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

mindglow-0.2.0.tar.gz (16.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mindglow-0.2.0-py3-none-any.whl (21.0 kB view details)

Uploaded Python 3

File details

Details for the file mindglow-0.2.0.tar.gz.

File metadata

  • Download URL: mindglow-0.2.0.tar.gz
  • Upload date:
  • Size: 16.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.7

File hashes

Hashes for mindglow-0.2.0.tar.gz
Algorithm Hash digest
SHA256 04a8ebaf81a6b43692f635eb97bc88da382185c1799f6d780b5975f0d90fe755
MD5 0a71becf9d2ad19135381f3e01a039e4
BLAKE2b-256 bf26860df12d0236c7e91b2cb0086e819f04a6da4f8317250e218a408278814a

See more details on using hashes here.

File details

Details for the file mindglow-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: mindglow-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 21.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.7

File hashes

Hashes for mindglow-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 053fc149ca8555a7f6b1b421e58c35d8e3f90a963a6b1bbb33344f85f98100b8
MD5 844069a06ffee17b041119f014b7d0f6
BLAKE2b-256 ecf9bcf55d318dc5e6371e4d61cb6aa9464c6ee74788b11f533581eb1699b6dd

See more details on using hashes here.

Supported by

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