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-0.3.8.tar.gz (183.1 kB view details)

Uploaded Source

Built Distribution

tardis_em-0.3.8-py3-none-any.whl (218.1 kB view details)

Uploaded Python 3

File details

Details for the file tardis_em-0.3.8.tar.gz.

File metadata

  • Download URL: tardis_em-0.3.8.tar.gz
  • Upload date:
  • Size: 183.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.10

File hashes

Hashes for tardis_em-0.3.8.tar.gz
Algorithm Hash digest
SHA256 8b17aca43e771cdb8cfe66350f7ad6bdc0e8364dd99855a5bb70963af32eb1f9
MD5 bac9ade2010c16eefad5158a76cc0b98
BLAKE2b-256 fd4efaa974c0e64c4536d5e5f1f3f433f4863a23fa2887ef7acf9ed4a399d3d1

See more details on using hashes here.

File details

Details for the file tardis_em-0.3.8-py3-none-any.whl.

File metadata

  • Download URL: tardis_em-0.3.8-py3-none-any.whl
  • Upload date:
  • Size: 218.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.10

File hashes

Hashes for tardis_em-0.3.8-py3-none-any.whl
Algorithm Hash digest
SHA256 428e3faeda6dba7f507c7ea07faa31c44c67ee9d5817c64cafdddcd9a47f93be
MD5 e1297a75433b68a8bfe129003e996841
BLAKE2b-256 8ce3bb02a7d0ac728f4d5dfbc786ba74509b91bd17e6e8ecd3dbbc570b8b308d

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