Skip to main content

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

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


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-0.2.0-cp37-cp37m-win_amd64.whl (247.0 kB view details)

Uploaded CPython 3.7m Windows x86-64

itk_meshtopolydata-0.2.0-cp37-cp37m-macosx_10_9_x86_64.whl (319.2 kB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

itk_meshtopolydata-0.2.0-cp36-cp36m-win_amd64.whl (247.1 kB view details)

Uploaded CPython 3.6m Windows x86-64

itk_meshtopolydata-0.2.0-cp36-cp36m-macosx_10_9_x86_64.whl (319.2 kB view details)

Uploaded CPython 3.6m macOS 10.9+ x86-64

itk_meshtopolydata-0.2.0-cp35-cp35m-win_amd64.whl (263.7 kB view details)

Uploaded CPython 3.5m Windows x86-64

itk_meshtopolydata-0.2.0-cp35-cp35m-macosx_10_9_x86_64.whl (319.2 kB view details)

Uploaded CPython 3.5m macOS 10.9+ x86-64

itk_meshtopolydata-0.2.0-cp27-cp27m-macosx_10_9_x86_64.whl (319.5 kB view details)

Uploaded CPython 2.7m macOS 10.9+ x86-64

File details

Details for the file itk_meshtopolydata-0.2.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: itk_meshtopolydata-0.2.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 247.0 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.6.2 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.2

File hashes

Hashes for itk_meshtopolydata-0.2.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 ba4a47ba5822ec22d26808b18d8e7ed87cd4ce3ce2819441e941987255c5a008
MD5 595818df71da8246c234bd3010cb1b8d
BLAKE2b-256 cebe02c4157a843eb9185c09b568f49e63a8ebb417c8d759d6e31021f3a8733c

See more details on using hashes here.

File details

Details for the file itk_meshtopolydata-0.2.0-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

  • Download URL: itk_meshtopolydata-0.2.0-cp37-cp37m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 384.1 kB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.6.2 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.2

File hashes

Hashes for itk_meshtopolydata-0.2.0-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 a7a2df7fa253140e0fc752a6f3aee05d27a19db379910cbbcfb7944bc7dac546
MD5 2a7e7240d4c79a36883bd3e945b79acb
BLAKE2b-256 a3a7d6b7cd5a72c289e32c34c977fda5833b8aeeda4227271a052215bb6fe975

See more details on using hashes here.

File details

Details for the file itk_meshtopolydata-0.2.0-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: itk_meshtopolydata-0.2.0-cp37-cp37m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 319.2 kB
  • Tags: CPython 3.7m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.6.2 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.2

File hashes

Hashes for itk_meshtopolydata-0.2.0-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 755cbee71b901da734ec503d5a73ec28fe791991856a276b39e042e2e391cdbe
MD5 0598d4524cab64487e2df180e4d518e1
BLAKE2b-256 38f434ecab7a8f316d1adde6f0e5c49fdee796401cdc06fccad1356b9d026e5c

See more details on using hashes here.

File details

Details for the file itk_meshtopolydata-0.2.0-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: itk_meshtopolydata-0.2.0-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 247.1 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.6.2 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.2

File hashes

Hashes for itk_meshtopolydata-0.2.0-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 a60e9c6322dd8f043978e270c5c8e13ae7e8e5dfa647786c6a8cab2f3b894485
MD5 c828e7675dbc18fe7a2a48d75dfec645
BLAKE2b-256 ecef377ea45f6ec3bc98edfbad26b97aebeaa3ca4423edf4badbfba2f96969a3

See more details on using hashes here.

File details

Details for the file itk_meshtopolydata-0.2.0-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

  • Download URL: itk_meshtopolydata-0.2.0-cp36-cp36m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 384.0 kB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.6.2 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.2

File hashes

Hashes for itk_meshtopolydata-0.2.0-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 4b66b41fd5cc2f90c204c7c53a75bd140a2627d416af2986b2fc226e361a0124
MD5 3e01101d788ab62367e153d6e4ae1320
BLAKE2b-256 d9c6107086485175faeb6a4e146a30170f97d431de09c43067d606175dcd5db8

See more details on using hashes here.

File details

Details for the file itk_meshtopolydata-0.2.0-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: itk_meshtopolydata-0.2.0-cp36-cp36m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 319.2 kB
  • Tags: CPython 3.6m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.6.2 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.2

File hashes

Hashes for itk_meshtopolydata-0.2.0-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 ecd631625adae055db75ec56e36bd2fe915ff6c2a18dff3dab6aed525609e91c
MD5 41c86dcb8a786353d8f0bf56147af1e2
BLAKE2b-256 a95acb36c44e4fd01ac000ddec5af9c78cdce46c89005f19fa457a38895f4174

See more details on using hashes here.

File details

Details for the file itk_meshtopolydata-0.2.0-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: itk_meshtopolydata-0.2.0-cp35-cp35m-win_amd64.whl
  • Upload date:
  • Size: 263.7 kB
  • Tags: CPython 3.5m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.6.2 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.2

File hashes

Hashes for itk_meshtopolydata-0.2.0-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 690d6c72358dce01bebb58a0bbf1541d9136e4efd1bac58f6ce298983739af47
MD5 47a10963e4a94d1a3f50025a46623f8f
BLAKE2b-256 151b0670cf65109233e5bd237a45d71837d1e8c68fc8d5544ee75ed421125caf

See more details on using hashes here.

File details

Details for the file itk_meshtopolydata-0.2.0-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

  • Download URL: itk_meshtopolydata-0.2.0-cp35-cp35m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 384.1 kB
  • Tags: CPython 3.5m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.6.2 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.2

File hashes

Hashes for itk_meshtopolydata-0.2.0-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 b9e749ada60fefb00580d99b74ab27f1a78fc434c2efb2c77f45156f7976456b
MD5 fe3b3f58caafa145b23d585d4cc05c60
BLAKE2b-256 120697b9951512fc3c155c40457e0358be25a23b3d14ec493864fae31309c8a3

See more details on using hashes here.

File details

Details for the file itk_meshtopolydata-0.2.0-cp35-cp35m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: itk_meshtopolydata-0.2.0-cp35-cp35m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 319.2 kB
  • Tags: CPython 3.5m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.6.2 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.2

File hashes

Hashes for itk_meshtopolydata-0.2.0-cp35-cp35m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 788fb7a4c07ad149b8e634cf23e4b32f568845c7ca209caea6560cb89b91b3f5
MD5 6a17c85f46d59bdabb481587a5dcfdfb
BLAKE2b-256 388e6b913adbe0d2c2613fa5eede1bdc092ef54db8da0c6c8e78b6dfb6a071f9

See more details on using hashes here.

File details

Details for the file itk_meshtopolydata-0.2.0-cp27-cp27mu-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for itk_meshtopolydata-0.2.0-cp27-cp27mu-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 257af6ef6428dc7d545460f62b43731feaa67c9df35b37910ac959769494e337
MD5 81d8ddc0e88fa99ae4a960ead8040c1f
BLAKE2b-256 93f3fabbd82c48915d709ed7fabdfa6c8ee0ffff293501f8f6be52c776858bcb

See more details on using hashes here.

File details

Details for the file itk_meshtopolydata-0.2.0-cp27-cp27m-manylinux1_x86_64.whl.

File metadata

  • Download URL: itk_meshtopolydata-0.2.0-cp27-cp27m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 385.6 kB
  • Tags: CPython 2.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.6.2 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.2

File hashes

Hashes for itk_meshtopolydata-0.2.0-cp27-cp27m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 d04038d463117982f34e245df87507c9a90908bc3a1b82d0074e8a0671ba643d
MD5 510bb456a54bc28fc2c32e7fbf8b8104
BLAKE2b-256 e2d06e29f0d1111471735f41778d77ca6b8ba70ac66b67dd03d9e864e65ea4ca

See more details on using hashes here.

File details

Details for the file itk_meshtopolydata-0.2.0-cp27-cp27m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: itk_meshtopolydata-0.2.0-cp27-cp27m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 319.5 kB
  • Tags: CPython 2.7m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.6.2 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.2

File hashes

Hashes for itk_meshtopolydata-0.2.0-cp27-cp27m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 fe179b3494c1162fa15be0884f5c543413fd75976215a599699fccd9af41b389
MD5 0fa768f0fb14bf0a81f8449270d32378
BLAKE2b-256 213d6927ff462a3e77b18169025a8aca6df302ccda2e80b17b90bc57eb23df0c

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