ITK is an open-source toolkit for multidimensional image analysis

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for jcfr from gravatar.com jcfr Avatar for phcerdan from gravatar.com phcerdan Avatar for tbirdso from gravatar.com tbirdso Avatar for thewtex from gravatar.com thewtex

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache Software License (Apache)
  • Author: Insight Software Consortium
  • Tags ITK, InsightToolkit, segmentation, registration, image, imaging
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.

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

Verified details

These details have been verified by PyPI
Maintainers
Avatar for jcfr from gravatar.com jcfr Avatar for phcerdan from gravatar.com phcerdan Avatar for tbirdso from gravatar.com tbirdso Avatar for thewtex from gravatar.com thewtex

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache Software License (Apache)
  • Author: Insight Software Consortium
  • Tags ITK, InsightToolkit, segmentation, registration, image, imaging
Classifiers

Release history Release notifications | RSS feed

5.4.0

5.4rc4 pre-release

5.4rc3 pre-release

5.4rc2 pre-release

5.4rc1 pre-release

5.3.0

5.3rc4.post4 pre-release

5.3rc4.post3 pre-release

5.3rc4.post2 pre-release

5.3rc4.post1 pre-release

5.3rc4 pre-release

5.3rc3 pre-release

5.3rc2.post1 pre-release

5.3rc2 pre-release

5.3rc1 pre-release

5.2.1.post1

5.2.1

5.2.0.post3

5.2.0.post2

5.2.0.post1

5.2.0

5.2rc3 pre-release

5.2rc2 pre-release

5.2rc1 pre-release

5.1.2

5.1.1.post1

5.1.1

5.1.0.post3

5.1.0.post2

5.1.0.post1

5.1.0

5.1rc3 pre-release

5.1rc2 pre-release

5.1rc1.post1 pre-release

5.1rc1 pre-release

5.1b1 pre-release

5.0.1

5.0.0.post1

5.0.0

5.0rc2 pre-release

5.0rc1 pre-release

5.0b3 pre-release

5.0b1 pre-release

5.0a2 pre-release

5.0a1 pre-release

This version

4.13.2.post1

4.13.2

4.13.1.post1

4.13.0

4.12.0.post1

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-4.13.2.post1-cp37-cp37m-win_amd64.whl (3.0 MB view details)

Uploaded CPython 3.7m Windows x86-64

itk_segmentation-4.13.2.post1-cp37-cp37m-manylinux1_x86_64.whl (5.8 MB view details)

Uploaded CPython 3.7m

itk_segmentation-4.13.2.post1-cp37-cp37m-macosx_10_9_x86_64.whl (5.7 MB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

itk_segmentation-4.13.2.post1-cp36-cp36m-win_amd64.whl (3.0 MB view details)

Uploaded CPython 3.6m Windows x86-64

itk_segmentation-4.13.2.post1-cp36-cp36m-manylinux1_x86_64.whl (5.8 MB view details)

Uploaded CPython 3.6m

itk_segmentation-4.13.2.post1-cp36-cp36m-macosx_10_9_x86_64.whl (5.7 MB view details)

Uploaded CPython 3.6m macOS 10.9+ x86-64

itk_segmentation-4.13.2.post1-cp35-cp35m-win_amd64.whl (3.5 MB view details)

Uploaded CPython 3.5m Windows x86-64

itk_segmentation-4.13.2.post1-cp35-cp35m-manylinux1_x86_64.whl (5.8 MB view details)

Uploaded CPython 3.5m

itk_segmentation-4.13.2.post1-cp35-cp35m-macosx_10_9_x86_64.whl (5.7 MB view details)

Uploaded CPython 3.5m macOS 10.9+ x86-64

itk_segmentation-4.13.2.post1-cp27-cp27mu-manylinux1_x86_64.whl (5.8 MB view details)

Uploaded CPython 2.7mu

itk_segmentation-4.13.2.post1-cp27-cp27m-win_amd64.whl (3.3 MB view details)

Uploaded CPython 2.7m Windows x86-64

itk_segmentation-4.13.2.post1-cp27-cp27m-manylinux1_x86_64.whl (5.8 MB view details)

Uploaded CPython 2.7m

itk_segmentation-4.13.2.post1-cp27-cp27m-macosx_10_9_x86_64.whl (5.7 MB view details)

Uploaded CPython 2.7m macOS 10.9+ x86-64

File details

Details for the file itk_segmentation-4.13.2.post1-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: itk_segmentation-4.13.2.post1-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 3.0 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.7

File hashes

Hashes for itk_segmentation-4.13.2.post1-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 90c8150f29297515aeda17c6a6b16bbbc149f30989891b87832aaf945d7395d4
MD5 95124e02ef52804d5b0edf2eed617233
BLAKE2b-256 da32b9c06c258fc86580a36d07a94ebf3ae2280b1a4472e952c03dacc620c6bd

See more details on using hashes here.

File details

Details for the file itk_segmentation-4.13.2.post1-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for itk_segmentation-4.13.2.post1-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 cc862cc8dd416dd0eb16411a101ff5faca28e446b1eaafd5a993ad68606d6331
MD5 9eaf17219f1a01b7ed2cbebf0f85cf0f
BLAKE2b-256 0e5de15bf77513f46dfbb0d479b7e102203c2180192596dc989ec6c8551c6e4f

See more details on using hashes here.

File details

Details for the file itk_segmentation-4.13.2.post1-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for itk_segmentation-4.13.2.post1-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 ecef76e3f648c40d216bc2ac6262f3eb5f1709a0a6a446ff41327f0ac7cd9be9
MD5 b0ab5645b5d6681f4a49f949fff55303
BLAKE2b-256 f70d7a1e19276ca4fed5bbdf83da7f931e634e71a19f5d12a454744f48965891

See more details on using hashes here.

File details

Details for the file itk_segmentation-4.13.2.post1-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: itk_segmentation-4.13.2.post1-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 3.0 MB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.7

File hashes

Hashes for itk_segmentation-4.13.2.post1-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 1876093ac915cd475fbda562238fc3f50ff9f532278154f5b9269a14e99f110d
MD5 c1046756b04bb55bf191d3a4d31342ad
BLAKE2b-256 aa21759afc6c9524d3a68b9853d46b9b013f07c92cdc0fc0a181ed142f152491

See more details on using hashes here.

File details

Details for the file itk_segmentation-4.13.2.post1-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for itk_segmentation-4.13.2.post1-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 7d2873f0dd5d76ea000af0410f513098e7471fc4da41b1139f490c0338d538af
MD5 94e67ec3d7cf61ac5fda981a26d5cef4
BLAKE2b-256 6851ebb239fe03b99fadb88ab1bbf9a7b13ea865f1d50fc333bc9222b4dc41bf

See more details on using hashes here.

File details

Details for the file itk_segmentation-4.13.2.post1-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for itk_segmentation-4.13.2.post1-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 01f55cf07dd1f7a1bab0618683c4bd7460c7c5e9e453b2530ba1d586a6f7cf9e
MD5 e29a8643b760873c9efa750e93b3b2f3
BLAKE2b-256 a0bb4b1124b13c8aa4f55249a08c7226ad0442219a8b2987f345e6a189c4f479

See more details on using hashes here.

File details

Details for the file itk_segmentation-4.13.2.post1-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: itk_segmentation-4.13.2.post1-cp35-cp35m-win_amd64.whl
  • Upload date:
  • Size: 3.5 MB
  • Tags: CPython 3.5m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.7

File hashes

Hashes for itk_segmentation-4.13.2.post1-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 0c9728c73ee2cc6f9b56c13c3869fce064207454315dbed10c8af2cfb2fab266
MD5 c81e8e28bf69a808051b9dc2b83e93ca
BLAKE2b-256 dd64629781a05b4c621ba10cd7b45483070442d7897ebdcfb9fbf0dd0cdb24cd

See more details on using hashes here.

File details

Details for the file itk_segmentation-4.13.2.post1-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for itk_segmentation-4.13.2.post1-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 15cd8c4635d7e5f789df456372a25bba9dca3f392ad19b1e18789ee2d9db095a
MD5 8fd65160c0f8a1d1008ba2d2f3edecf8
BLAKE2b-256 3746f6d4a41a10948c546c8e6458f8c00204a7dd58955c66014f982f25e4f387

See more details on using hashes here.

File details

Details for the file itk_segmentation-4.13.2.post1-cp35-cp35m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for itk_segmentation-4.13.2.post1-cp35-cp35m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 24c656a97530bece12b51f2484d8e318a3a43a301b92c2fa577b586492b10b9f
MD5 cc98c93d2f4627e5657f99d5606a7b81
BLAKE2b-256 63c4e58ab539a732e0e27b705cd076c06ef638dc4b0dd99203a10e6c97747e0c

See more details on using hashes here.

File details

Details for the file itk_segmentation-4.13.2.post1-cp27-cp27mu-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for itk_segmentation-4.13.2.post1-cp27-cp27mu-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 37cc17b2ecb6d0ffd11bfe846695590e2e8be368b136d8a79245d7d235d82b1c
MD5 f613c05553d18d62c0c6035a49a32049
BLAKE2b-256 73ac908dc1277a3f850615f1783d24102cb40aa812fc048392fb2670de1d5509

See more details on using hashes here.

File details

Details for the file itk_segmentation-4.13.2.post1-cp27-cp27m-win_amd64.whl.

File metadata

  • Download URL: itk_segmentation-4.13.2.post1-cp27-cp27m-win_amd64.whl
  • Upload date:
  • Size: 3.3 MB
  • Tags: CPython 2.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.7

File hashes

Hashes for itk_segmentation-4.13.2.post1-cp27-cp27m-win_amd64.whl
Algorithm Hash digest
SHA256 00fb04f5241353948194e8d7b637ac4bc7f9878fe5e7906e165dfab138044b7a
MD5 1b734491f45b1ef85884dfd805dfde9d
BLAKE2b-256 f252c7a2a958867eaa27365c32d4d800a28606303d0323e8fe7b419c220bf124

See more details on using hashes here.

File details

Details for the file itk_segmentation-4.13.2.post1-cp27-cp27m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for itk_segmentation-4.13.2.post1-cp27-cp27m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 856bcf53287112b4067f1816ef8a31d1acfe3316ad19fba80fb48cf236bd3204
MD5 ff97e01c18ccd89324d95ff018f3824d
BLAKE2b-256 75cb0aa64a0d5c55e9708a99450ca322872b61181d2272dd7a800d4cfd7ba58e

See more details on using hashes here.

File details

Details for the file itk_segmentation-4.13.2.post1-cp27-cp27m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for itk_segmentation-4.13.2.post1-cp27-cp27m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 7e84d9d00bc8a06c1065772c69dccb6cb8945dfa9fc8c92d868ac269d35057d5
MD5 19491140738c17e535fdfb64c76d620d
BLAKE2b-256 77447fe698a5154a43293762db1c78c2862e7cab2c1e7054fe0a407c37f62c62

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