Skip to main content

VkFFT backends for ITK FFT classes.

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_vkfft-0.1.7-cp310-cp310-win_amd64.whl (1.7 MB view details)

Uploaded CPython 3.10 Windows x86-64

itk_vkfft-0.1.7-cp310-cp310-manylinux_2_28_x86_64.whl (5.2 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.28+ x86-64

itk_vkfft-0.1.7-cp310-cp310-macosx_10_9_x86_64.whl (4.2 MB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

itk_vkfft-0.1.7-cp39-cp39-win_amd64.whl (1.7 MB view details)

Uploaded CPython 3.9 Windows x86-64

itk_vkfft-0.1.7-cp39-cp39-manylinux_2_28_x86_64.whl (5.2 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.28+ x86-64

itk_vkfft-0.1.7-cp39-cp39-macosx_10_9_x86_64.whl (4.2 MB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

itk_vkfft-0.1.7-cp38-cp38-win_amd64.whl (1.7 MB view details)

Uploaded CPython 3.8 Windows x86-64

itk_vkfft-0.1.7-cp38-cp38-manylinux_2_28_x86_64.whl (5.2 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.28+ x86-64

itk_vkfft-0.1.7-cp38-cp38-macosx_10_9_x86_64.whl (4.2 MB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

itk_vkfft-0.1.7-cp37-cp37m-win_amd64.whl (1.7 MB view details)

Uploaded CPython 3.7m Windows x86-64

itk_vkfft-0.1.7-cp37-cp37m-manylinux_2_28_x86_64.whl (5.2 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.28+ x86-64

itk_vkfft-0.1.7-cp37-cp37m-macosx_10_9_x86_64.whl (4.2 MB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

File details

Details for the file itk_vkfft-0.1.7-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for itk_vkfft-0.1.7-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 31ee977d69cd540b43886f84de863e5b34b23bbd03c3968eed09f60cd16552d1
MD5 bb01646af45b5ba601f6b2ea924b868b
BLAKE2b-256 f9eaa9896aee5fba0fc03702bc01c08884bd12b7d9055a99614198c134dfbf67

See more details on using hashes here.

File details

Details for the file itk_vkfft-0.1.7-cp310-cp310-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for itk_vkfft-0.1.7-cp310-cp310-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 1d306e13ee4345b1f699fd2647f452212025eea627383672b1fc4db018072040
MD5 f38706348d3743c0ebafb00c337fe68d
BLAKE2b-256 0f89c7770efb0bd18906fbc6c26daa4caf3e8fdc9cdfbf73c3b8994545f303aa

See more details on using hashes here.

File details

Details for the file itk_vkfft-0.1.7-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for itk_vkfft-0.1.7-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 86a85717d41e3f51055f5c237a7e5fcce09f765cf0d3f32ed0cd8ff8926d07c8
MD5 09e03491a82713e281cf9fa34e9a9f38
BLAKE2b-256 e8db45c76e62794405c6ad63c872fffdde7046b3850004ee3958bcbdf7486cb0

See more details on using hashes here.

File details

Details for the file itk_vkfft-0.1.7-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: itk_vkfft-0.1.7-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 1.7 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for itk_vkfft-0.1.7-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 b3c91285054204af371bde9d01bff4e6ea1077d4924904cb2ce248079a7ebe12
MD5 c5b820b15ac865f9cdf9bea821924cd9
BLAKE2b-256 d2336f4cf2c406f8b977502ab7b52f85b00dabb3bd9f12d63056e7df30e0afdf

See more details on using hashes here.

File details

Details for the file itk_vkfft-0.1.7-cp39-cp39-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for itk_vkfft-0.1.7-cp39-cp39-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 b3c20d75cb304f8b6723de66e4abe523b9ef01a39c9b2374831da15f402e2187
MD5 aa3570a157c5f9f5c37352cd863608e7
BLAKE2b-256 8c472abf2ecddfccd4df50802656943e299325c3e31bf25c1c20c9b8fe7f6c0c

See more details on using hashes here.

File details

Details for the file itk_vkfft-0.1.7-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for itk_vkfft-0.1.7-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 c45280cbc3bee6a4e3fb9ef473ebc34d801fc7f6f340252d1b0acfe616ef03eb
MD5 049cc9a421b05029103ca6883635d721
BLAKE2b-256 d087780d9f5e08b085fbb1f014e7430e8b877e732ed3683dd741203f5ef427e5

See more details on using hashes here.

File details

Details for the file itk_vkfft-0.1.7-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: itk_vkfft-0.1.7-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 1.7 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for itk_vkfft-0.1.7-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 afc7a7f9471b06f2af9b2850f01f69c7c3217646264ab232b7ff1af7165e3450
MD5 ac4acfebf9c5a97c266cb955a7752104
BLAKE2b-256 a76351d5259c66e71e4582d42c81f8b487b90284a40333cfe0d46ee8eb4e966f

See more details on using hashes here.

File details

Details for the file itk_vkfft-0.1.7-cp38-cp38-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for itk_vkfft-0.1.7-cp38-cp38-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 384b034f66977312cc49efd094fa04ab12347a98f9026e9ecb03be2e9a962aad
MD5 70aa13b2cbc606a28402904115419847
BLAKE2b-256 69e0a16b24b13e5265e7118b6b15b32f0ab6ceac63b609cbaf4cf5d66c30a836

See more details on using hashes here.

File details

Details for the file itk_vkfft-0.1.7-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for itk_vkfft-0.1.7-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 b1982872bff64a30a30f9414a7ae01b9696f8280fd4eebd26b4bd4552a4606b3
MD5 be07a4c9d2765aaac2512ea0f9f60830
BLAKE2b-256 e283b2541e1964f965df08defcbf9ff5f3bc7a8f4a9a2e4c57791b0f16465407

See more details on using hashes here.

File details

Details for the file itk_vkfft-0.1.7-cp37-cp37m-win_amd64.whl.

File metadata

File hashes

Hashes for itk_vkfft-0.1.7-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 3a043ec37d9c548cfce69685f2902ef046cfb2ddb898f16f46cb25774171152d
MD5 8d7cf261a7ab238a22bda7ccb141ca80
BLAKE2b-256 3a350d895543be789817a80ccbf65c6f3201782c3629a72b7348e5a418ee79c3

See more details on using hashes here.

File details

Details for the file itk_vkfft-0.1.7-cp37-cp37m-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for itk_vkfft-0.1.7-cp37-cp37m-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 e138c5bf95c9fa9136944d759501ac1d179d675809d48ebcb5ef0e1960217bb3
MD5 2f91e427455a2fc07f8c7d68488dbe94
BLAKE2b-256 bc14c655d4be2698d303e8b1ca7d55639d0ae1bcf26b164eebb0742af95520d7

See more details on using hashes here.

File details

Details for the file itk_vkfft-0.1.7-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for itk_vkfft-0.1.7-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 7a70c4a9928e9bc27b06a835e8c756f3a5bdbb6758b21e0e00211f739ce4ee41
MD5 7bb81bf07d917ddb957406314735bdbf
BLAKE2b-256 91f726e0369b7ac2c73055693f7dd2bb0914f40a0a8ce2840275f8bb05abfd81

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