Skip to main content

ITK is an open-source toolkit for multidimensional image analysis

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.

This package addresses the segmentation problem: partition the image into classified regions (labels). This is a high level package that makes use of many lower level packages.

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_segmentation-5.0rc1-cp37-cp37m-win_amd64.whl (3.3 MB view details)

Uploaded CPython 3.7m Windows x86-64

itk_segmentation-5.0rc1-cp37-cp37m-macosx_10_9_x86_64.whl (7.6 MB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

itk_segmentation-5.0rc1-cp36-cp36m-win_amd64.whl (3.3 MB view details)

Uploaded CPython 3.6m Windows x86-64

itk_segmentation-5.0rc1-cp36-cp36m-macosx_10_9_x86_64.whl (7.6 MB view details)

Uploaded CPython 3.6m macOS 10.9+ x86-64

itk_segmentation-5.0rc1-cp35-cp35m-win_amd64.whl (3.9 MB view details)

Uploaded CPython 3.5m Windows x86-64

itk_segmentation-5.0rc1-cp35-cp35m-macosx_10_9_x86_64.whl (7.6 MB view details)

Uploaded CPython 3.5m macOS 10.9+ x86-64

itk_segmentation-5.0rc1-cp27-cp27m-macosx_10_9_x86_64.whl (7.6 MB view details)

Uploaded CPython 2.7m macOS 10.9+ x86-64

File details

Details for the file itk_segmentation-5.0rc1-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: itk_segmentation-5.0rc1-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 3.3 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.5

File hashes

Hashes for itk_segmentation-5.0rc1-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 c7907da0ab5442b38916ac71ab47f0342b840d20f7c25083ac66d1c655f01bf5
MD5 a6b605e2b15ddb034d7fdecfc5ff3922
BLAKE2b-256 9a3af7224f6c423298adce4f2bda19ac00bba2e85d9942a7dafc318b767e8c73

See more details on using hashes here.

File details

Details for the file itk_segmentation-5.0rc1-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

  • Download URL: itk_segmentation-5.0rc1-cp37-cp37m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 8.0 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.5

File hashes

Hashes for itk_segmentation-5.0rc1-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 ebcaa33afb21fff5914454b7c482d03dd676992352c575e0c9afe0feaa36fa8c
MD5 5eb64e0218aeaaf64e1a0f211bc735d8
BLAKE2b-256 c27a9031d9a1cdc1d0791b679ca603cad411e097de079a0833029df2d89a4297

See more details on using hashes here.

File details

Details for the file itk_segmentation-5.0rc1-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: itk_segmentation-5.0rc1-cp37-cp37m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 7.6 MB
  • Tags: CPython 3.7m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.5

File hashes

Hashes for itk_segmentation-5.0rc1-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 c6973e26483479aad9bb61e9fc6e33b8b6cc73e1c9538f4f96975d130fa1fd31
MD5 f4fb0828a21cf654e98940c982fcb7bf
BLAKE2b-256 87817f02097abeb604d9be4521b56555a419b696e62233e585b0f67d2c2df3cf

See more details on using hashes here.

File details

Details for the file itk_segmentation-5.0rc1-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: itk_segmentation-5.0rc1-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 3.3 MB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.5

File hashes

Hashes for itk_segmentation-5.0rc1-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 16482cbdd79ecf3af25360054a25120ab26362d4478a5422f20380b5a5692da5
MD5 b635aa293c2864bcb4d100ebd9c36625
BLAKE2b-256 56ddffd770c884d4c043a92c8a0d093813a5454f2094484eff2e74963ee6b5a1

See more details on using hashes here.

File details

Details for the file itk_segmentation-5.0rc1-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

  • Download URL: itk_segmentation-5.0rc1-cp36-cp36m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 8.0 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.5

File hashes

Hashes for itk_segmentation-5.0rc1-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 16178b618dc8895eaea59eca21c542bc12fc6cff690d04b6e4a636dc91dd0d39
MD5 c70cf05813e7237926b46273143b5dfd
BLAKE2b-256 c14aac5949be36f3b4a8ca5333c1faec54e96950c97af756745984d546a0aec6

See more details on using hashes here.

File details

Details for the file itk_segmentation-5.0rc1-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: itk_segmentation-5.0rc1-cp36-cp36m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 7.6 MB
  • Tags: CPython 3.6m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.5

File hashes

Hashes for itk_segmentation-5.0rc1-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 286713a19b227428b3fbc8f7af824136ffb06b5c4ab864ae10307cfa92918055
MD5 37aafb6cc5c6db144a8869ccf3d63b27
BLAKE2b-256 93002d394a894d15e7dbf05ac1afa1b3d1cc79c046fb43d121f6d295d61a9a1a

See more details on using hashes here.

File details

Details for the file itk_segmentation-5.0rc1-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: itk_segmentation-5.0rc1-cp35-cp35m-win_amd64.whl
  • Upload date:
  • Size: 3.9 MB
  • Tags: CPython 3.5m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.5

File hashes

Hashes for itk_segmentation-5.0rc1-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 500aa29e812e8552b99531157de3770ac7fc033dacd35b6b7cb2eb1c1dde9f62
MD5 b21d4558190010ce28b1bfed78e9dee3
BLAKE2b-256 a0a98aea2b7c3751a6738a56772c6f76b03f6686abdb71f3f453dfb604b9bf70

See more details on using hashes here.

File details

Details for the file itk_segmentation-5.0rc1-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

  • Download URL: itk_segmentation-5.0rc1-cp35-cp35m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 8.0 MB
  • Tags: CPython 3.5m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.5

File hashes

Hashes for itk_segmentation-5.0rc1-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 74c0ad23a17a2cc5fc5090bab5068273db4a68e302e1e0e08aef655f62b3f6d2
MD5 e6ead2f0fd4bf05ecabf4ce2184a7e87
BLAKE2b-256 447e30dafb1239910975832622b02cbadfd3cbd433412670fd1e1df6129674e9

See more details on using hashes here.

File details

Details for the file itk_segmentation-5.0rc1-cp35-cp35m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: itk_segmentation-5.0rc1-cp35-cp35m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 7.6 MB
  • Tags: CPython 3.5m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.5

File hashes

Hashes for itk_segmentation-5.0rc1-cp35-cp35m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 ac43621a206bb8cf4be697f74a3ef367308d163fedc1b64d348b40c731b6df85
MD5 813caad0a5677dccd85765d3c4693f5f
BLAKE2b-256 3675f4583dcaf30a4d19d9f510151d7c7eb277d17897a3a68e4cd14faaed2cdf

See more details on using hashes here.

File details

Details for the file itk_segmentation-5.0rc1-cp27-cp27mu-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for itk_segmentation-5.0rc1-cp27-cp27mu-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 5270146beeea25ba72736271d6ca2cf8ea478edd7695c46c4416304f674d1cc1
MD5 937fd07171fbb94e3be46cec5551f96c
BLAKE2b-256 26d02d958a1a441a1aa2a30f4f564af8a42da292173ea880877042444ea62c84

See more details on using hashes here.

File details

Details for the file itk_segmentation-5.0rc1-cp27-cp27m-manylinux1_x86_64.whl.

File metadata

  • Download URL: itk_segmentation-5.0rc1-cp27-cp27m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 8.0 MB
  • Tags: CPython 2.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.5

File hashes

Hashes for itk_segmentation-5.0rc1-cp27-cp27m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 a472ea6e4cfa4bcab181fe616cc87a0ea2a0c208418cf3ded1e7117f2e6a3449
MD5 98f8e718d2b32ff78fbdd20368b30174
BLAKE2b-256 0c39bbecbd01d6e961bf8544fb3b5a2b41892ed9db18fc4524bae86ae219463c

See more details on using hashes here.

File details

Details for the file itk_segmentation-5.0rc1-cp27-cp27m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: itk_segmentation-5.0rc1-cp27-cp27m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 7.6 MB
  • Tags: CPython 2.7m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.5

File hashes

Hashes for itk_segmentation-5.0rc1-cp27-cp27m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 921787082b11189e7dda6a45eb5f5c6a7365fa4faad91947fb67c7e53dc1ffce
MD5 a47603d86d7eab084b975e5fbf3ec00e
BLAKE2b-256 1b088fcea43a456eae20cde129da59ae3f5d0c229b1bb4fa07ab70501bde6b84

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