Convert an ITK Mesh to a simple data structure compatible with vtkPolyData.

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for itkrobot from gravatar.com itkrobot Avatar for thewtex from gravatar.com thewtex

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Project description

ITK is an open-source, cross-platform library that provides developers with an extensive suite of software tools for image analysis. Developed through extreme programming methodologies, ITK employs leading-edge algorithms for registering and segmenting multidimensional scientific images.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for itkrobot from gravatar.com itkrobot Avatar for thewtex from gravatar.com thewtex

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Release history Release notifications | RSS feed

0.11.0

0.11rc3 pre-release

0.11rc2 pre-release

0.11rc1 pre-release

0.10.0

0.9.2

0.9.1

0.9.0

0.8.4

0.8.3

0.8.2

This version

0.8.1

0.7.1

0.7.0

0.6.5

0.6.4

0.6.3

0.6.2

0.6.1

0.6.0

0.6rc1 pre-release

0.5.1

0.5.0

0.4.0

0.3.4

0.3.3

0.3.2

0.3.1

0.2.0

0.1.0

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

itk_meshtopolydata-0.8.1-cp39-cp39-win_amd64.whl (371.6 kB view details)

Uploaded CPython 3.9 Windows x86-64

itk_meshtopolydata-0.8.1-cp39-cp39-manylinux2014_x86_64.whl (860.6 kB view details)

Uploaded CPython 3.9

itk_meshtopolydata-0.8.1-cp39-cp39-macosx_10_9_x86_64.whl (669.8 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

itk_meshtopolydata-0.8.1-cp38-cp38-win_amd64.whl (371.4 kB view details)

Uploaded CPython 3.8 Windows x86-64

itk_meshtopolydata-0.8.1-cp38-cp38-manylinux2014_x86_64.whl (862.2 kB view details)

Uploaded CPython 3.8

itk_meshtopolydata-0.8.1-cp38-cp38-macosx_10_9_x86_64.whl (670.5 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

itk_meshtopolydata-0.8.1-cp37-cp37m-win_amd64.whl (365.8 kB view details)

Uploaded CPython 3.7m Windows x86-64

itk_meshtopolydata-0.8.1-cp37-cp37m-manylinux2014_x86_64.whl (862.3 kB view details)

Uploaded CPython 3.7m

itk_meshtopolydata-0.8.1-cp37-cp37m-macosx_10_9_x86_64.whl (670.6 kB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

itk_meshtopolydata-0.8.1-cp36-cp36m-win_amd64.whl (366.2 kB view details)

Uploaded CPython 3.6m Windows x86-64

itk_meshtopolydata-0.8.1-cp36-cp36m-manylinux2014_x86_64.whl (862.3 kB view details)

Uploaded CPython 3.6m

itk_meshtopolydata-0.8.1-cp36-cp36m-macosx_10_9_x86_64.whl (670.6 kB view details)

Uploaded CPython 3.6m macOS 10.9+ x86-64

File details

Details for the file itk_meshtopolydata-0.8.1-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for itk_meshtopolydata-0.8.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 2af53a1be0d84773ab8428ecaeb232cb35c05107f6f16a2aecb9f07d580a0e61
MD5 3dd915452893e712b583c17f7d563d44
BLAKE2b-256 4b2ae022389c07313b6df42c5cc2e67b0239f42fd99dd9f317e0d06306762d5d

See more details on using hashes here.

File details

Details for the file itk_meshtopolydata-0.8.1-cp39-cp39-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for itk_meshtopolydata-0.8.1-cp39-cp39-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 861eb9b741ac7f9096d266a0c9c3a42c209f1364a935fb6e44b7543bd1214583
MD5 c645b86421d2e261408875eaf90f28e0
BLAKE2b-256 fb9d00c26e65337fb5dad2f988fefb7d0fc07b0036e158b8e5bfe9872f090d0e

See more details on using hashes here.

File details

Details for the file itk_meshtopolydata-0.8.1-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for itk_meshtopolydata-0.8.1-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 3fc2e9f0aa1bfc9e6cf7489e1b7b6a6d01a3eee45210d29e60403e0b82f723c2
MD5 1c85cbc1fc10d4c7dbc3206d32dbb8c6
BLAKE2b-256 49c95d2ccdc9cee63fa5b9f00b4da27ce5831c40725b409e5f6281ab9ea66a49

See more details on using hashes here.

File details

Details for the file itk_meshtopolydata-0.8.1-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for itk_meshtopolydata-0.8.1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 b9f1f0e556efe4ebd9485898c86cd67a12ebf8b3d92364e04a29a847aeaab285
MD5 c33562cb5ac97dd98a66c78d7c2525b3
BLAKE2b-256 fe57fd8d4abaf54f7ed135f5b0707db1f40ebf302b5f9307572afd77ef10768f

See more details on using hashes here.

File details

Details for the file itk_meshtopolydata-0.8.1-cp38-cp38-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for itk_meshtopolydata-0.8.1-cp38-cp38-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 bcf2ef4befb17ddf71fb50e1b6e8e25e6a0a1da454f499822921cd3e7a2b7b7c
MD5 6f9df9086e1037af00b7d2c32ff41d89
BLAKE2b-256 598170a89a3a2f746a00ef24e996b9df86232e930a4a0eccba7ca4bac5c23e9c

See more details on using hashes here.

File details

Details for the file itk_meshtopolydata-0.8.1-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for itk_meshtopolydata-0.8.1-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 0ef5290aa55df90e4737e78167ea3ea03d6380f0b7b794f1e979ddcc19dffeb7
MD5 2a5c0d7da11b78b5d9d929b38dcbf4aa
BLAKE2b-256 648b70ba1f3abe0f20afc0bff554333cf6772346964b98481fd62f34ee64358c

See more details on using hashes here.

File details

Details for the file itk_meshtopolydata-0.8.1-cp37-cp37m-win_amd64.whl.

File metadata

File hashes

Hashes for itk_meshtopolydata-0.8.1-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 80ff28c6635322131927fabe42d32eea1e03d40dd44f605cd23ce7472002c649
MD5 c5bd10802144b8cb66cee100aa870efb
BLAKE2b-256 63e183cb32aa717dcc59a9d8a78ae564d81a9a024c5336acb29ad5c653f5544b

See more details on using hashes here.

File details

Details for the file itk_meshtopolydata-0.8.1-cp37-cp37m-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for itk_meshtopolydata-0.8.1-cp37-cp37m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 10928812ea6bd35a3da647c8c642a18bb551bb2c5d5c2bc2d9d701f35ed26ff1
MD5 60c9b424541a808634d06cb6a8c704dc
BLAKE2b-256 178a24462f9a0118ae6b27351912e2cd7a5131e2241d2fc40547138af8e586e0

See more details on using hashes here.

File details

Details for the file itk_meshtopolydata-0.8.1-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for itk_meshtopolydata-0.8.1-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 e446d2360c9c621d21c513bc17d532c676a8dd9781593ea75c3ec51f747bf055
MD5 8a4fd3934fd5f681b416c186b70a9520
BLAKE2b-256 776126872f774ac705bbe527370e2a4bc2576b5aacf15413cbfa459d12277b56

See more details on using hashes here.

File details

Details for the file itk_meshtopolydata-0.8.1-cp36-cp36m-win_amd64.whl.

File metadata

File hashes

Hashes for itk_meshtopolydata-0.8.1-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 4b0001c8a6d24e1ce013eaa96b322686cb8efbe6275f03e2ae954f9bd6da12a3
MD5 eb8acb062f160007b313616045e0de8d
BLAKE2b-256 ba918cd58f7f674c2840c2f71d485e94becd6321c07cb6e1b78956b5a88771ca

See more details on using hashes here.

File details

Details for the file itk_meshtopolydata-0.8.1-cp36-cp36m-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for itk_meshtopolydata-0.8.1-cp36-cp36m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 967925c050c30be836fbc1e0964d8c159393a817374bd966391ce79e07165eb2
MD5 a622d0ee05cc4651879d14c0a3f1f12d
BLAKE2b-256 9e4143f80a5a914785a272e45c35374a57afb25fdbbaf87056401c6ee4e3e94e

See more details on using hashes here.

File details

Details for the file itk_meshtopolydata-0.8.1-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for itk_meshtopolydata-0.8.1-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 5c6678bd0989bda2a23d50c85d0382b97c793e1de13fc34b6d7109ccf303d1d5
MD5 67b2175b16a00521b12bcfe6fd9d1f17
BLAKE2b-256 9fdd6e77afea0bd90962a901c38fa327164c7f4ea953c944be9aafa2ac7172ce

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