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-0.1.8-cp310-cp310-win_amd64.whl (1.7 MB view details)

Uploaded CPython 3.10 Windows x86-64

itk_vkfft-0.1.8-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-0.1.8-cp310-cp310-macosx_10_9_x86_64.whl (4.2 MB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

itk_vkfft-0.1.8-cp39-cp39-win_amd64.whl (1.7 MB view details)

Uploaded CPython 3.9 Windows x86-64

itk_vkfft-0.1.8-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-0.1.8-cp39-cp39-macosx_10_9_x86_64.whl (4.2 MB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

itk_vkfft-0.1.8-cp38-cp38-win_amd64.whl (1.7 MB view details)

Uploaded CPython 3.8 Windows x86-64

itk_vkfft-0.1.8-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-0.1.8-cp38-cp38-macosx_10_9_x86_64.whl (4.2 MB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

itk_vkfft-0.1.8-cp37-cp37m-win_amd64.whl (1.7 MB view details)

Uploaded CPython 3.7m Windows x86-64

itk_vkfft-0.1.8-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-0.1.8-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-0.1.8-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for itk_vkfft-0.1.8-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 a08f7bf166e190f41506568ceffbf884c025bbace8813d33bdebd327e22e4b18
MD5 67db42cd55598f596df1582cf11d6daf
BLAKE2b-256 f8714e55977bc32c50688d5b4e6a95f64df93ac12749efa6b5e8fccab6b921d2

See more details on using hashes here.

File details

Details for the file itk_vkfft-0.1.8-cp310-cp310-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for itk_vkfft-0.1.8-cp310-cp310-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 4cb351039fc230183b1921fa07e5e0375cdcebdc8fd6aa194f6e89dff2c8a1e2
MD5 60bdf3ff56d93fdec264ba6e4f6e5ca7
BLAKE2b-256 44cc6785cb00b23ef7980c9ff7ef50f5d7e8cbd73b607beb5148b78c6b55c4f7

See more details on using hashes here.

File details

Details for the file itk_vkfft-0.1.8-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for itk_vkfft-0.1.8-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 683e89e2eb06437d6791f309ff765f40ceea443b0ee19219373f62e665e37fe5
MD5 1fff1f0932b4282e31f49734423ba6a0
BLAKE2b-256 62fd1c1d7f2d7ec4a3be0e91ed53c29089b933129f25b0f6932d0503c8e052bb

See more details on using hashes here.

File details

Details for the file itk_vkfft-0.1.8-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: itk_vkfft-0.1.8-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/3.9.15

File hashes

Hashes for itk_vkfft-0.1.8-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 feb38e73716c4ab9d51907d6966393fd014125021c1189f80b26c1b6c2aa8579
MD5 ceb6de9ad39aee84629b390db0d5ebe8
BLAKE2b-256 918cb6f7269a8423d67d7321e9e64fb2c4e5654266b13e84edd88e63bb8c4f9e

See more details on using hashes here.

File details

Details for the file itk_vkfft-0.1.8-cp39-cp39-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for itk_vkfft-0.1.8-cp39-cp39-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 47c8995bcbf87ddd0f7df673f4bfca5ec51742a2921dc82b2d92bb72159db41a
MD5 9e54dd8131874fb3983baea42ef7bca0
BLAKE2b-256 943a2b726f320c1360f01fcfe39492cec7395d1d0341198109385abd1e433a71

See more details on using hashes here.

File details

Details for the file itk_vkfft-0.1.8-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for itk_vkfft-0.1.8-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 76c8fbd1734666f8af9b9245bfee38dcf09854a390b566177ca324b2b9e58910
MD5 752805386f588e81bbd69c9878c021ea
BLAKE2b-256 f521639fae1bb9b278d5dd03d226feb19d8399a8259264716618e47973c7c8ee

See more details on using hashes here.

File details

Details for the file itk_vkfft-0.1.8-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: itk_vkfft-0.1.8-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/3.9.15

File hashes

Hashes for itk_vkfft-0.1.8-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 4bcd10ec5a8a995b90a1dc468532ca7cde0ef27f0bf32476e7be1ee53cca3932
MD5 289acfc40ee514efc0eac4deac05c220
BLAKE2b-256 e6ab453a49bfeaa07418d8659ca9bfceaff7f4b190c0fe8785bc17dc373267db

See more details on using hashes here.

File details

Details for the file itk_vkfft-0.1.8-cp38-cp38-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for itk_vkfft-0.1.8-cp38-cp38-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 1bbdd28d8af59e2dd07dc386bab4e55130d4b7da1963f8ae7309bc7ea821d5af
MD5 50d57f3c6af4b2da14da537f37b46e80
BLAKE2b-256 7efacbf396df6a8c1dd08f86994bb40211eeab0dad19c123056d3a2a38185d53

See more details on using hashes here.

File details

Details for the file itk_vkfft-0.1.8-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for itk_vkfft-0.1.8-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 5beff31cf327e2aa55058d072a06fef2893050351d6caa755d9a4ad30d8f7c45
MD5 e5f8b0e29949746f1ec40f0360fdc700
BLAKE2b-256 55edb32f1266bf3342636d482e1465491108861d88570366e8c7802716451930

See more details on using hashes here.

File details

Details for the file itk_vkfft-0.1.8-cp37-cp37m-win_amd64.whl.

File metadata

File hashes

Hashes for itk_vkfft-0.1.8-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 8a31ebe4409217904badf0068f0f7a5092b590e93fdf063f08b97ca76e70fdbd
MD5 25f82f63577fa26630aa39e0b5e47001
BLAKE2b-256 13d1129f85fe2aaacae7b305b4832999270d08866d9ab538364c744ca264dfe9

See more details on using hashes here.

File details

Details for the file itk_vkfft-0.1.8-cp37-cp37m-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for itk_vkfft-0.1.8-cp37-cp37m-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 697922cf65a8c411f3994a80a3904749970e18e56cc2d3ef1158066a318cb440
MD5 2760f7ddc6a4f81f30e7d89214017da3
BLAKE2b-256 76988a6343bdb2bc01078d83345bbccea0b7306578f81fc7272fd8db9bd951b2

See more details on using hashes here.

File details

Details for the file itk_vkfft-0.1.8-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for itk_vkfft-0.1.8-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 4484380b8ff793adb2e0053b05d93767f6b534b5c070f851cd3251c4fb67d740
MD5 92b347e94c82bf28f259e546d70289ad
BLAKE2b-256 9f7b806e9a5cf4ce12ec1cf5c4d25303ceb9248b34409b410d25da4f3ede03f2

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