Skip to main content

PyTorch segmentation of 2D/3D images such as electron tomography (ET),Cryo-EM or fluorescent microscopy data into 3D segmented point cloud.

Project description

MIT License

Copyright (c) 2022 Robert Kiewisz, Tristan Bepler

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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

tardis_em-0.2.9.tar.gz (167.9 kB view details)

Uploaded Source

Built Distribution

tardis_em-0.2.9-py3-none-any.whl (198.7 kB view details)

Uploaded Python 3

File details

Details for the file tardis_em-0.2.9.tar.gz.

File metadata

  • Download URL: tardis_em-0.2.9.tar.gz
  • Upload date:
  • Size: 167.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for tardis_em-0.2.9.tar.gz
Algorithm Hash digest
SHA256 ad17e903a1c8f7aca6a9b08a1b1e5425d37718af5080ddc6f202c3293e70dca9
MD5 01b9a47e51f4716e38cfe37eb0af58ae
BLAKE2b-256 f0727155a2d04b8c2b9faba28f7395798fe183e2fe34af974314d229000a5612

See more details on using hashes here.

File details

Details for the file tardis_em-0.2.9-py3-none-any.whl.

File metadata

  • Download URL: tardis_em-0.2.9-py3-none-any.whl
  • Upload date:
  • Size: 198.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for tardis_em-0.2.9-py3-none-any.whl
Algorithm Hash digest
SHA256 6c1566eb20b1d2f9d3a6d20c52cd8b53ead85c4337bb26e4939a787dbfa0ed69
MD5 15cd08238e5863a29b9015eee678eabf
BLAKE2b-256 0655be853ccc10dead3841cfa5f229aeae619a7e61eb30fd797101d03c75a923

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