itk-smoothingrecursiveyvvgaussianfilter

Young & Van Vliet recursive Gaussian smoothing filter for GPU (OpenCL) and CPU

These details have not been verified by PyPI

Project links

Project description

itk-smoothingrecursiveyvvgaussianfilter provides a GPU (OpenCL) and CPU implementation of the computationally efficient forward and backward IIR Young & Van Vliet recursive Gaussian smoothing filter. Please refer to: Vidal-Migallon I., Commowick O., Pennec X., Dauguet J., Vercauteren T.,”GPU and CPU implementation of Young - Van Vliet’s Recursive Gaussian Smoothing Filter”, Insight Journal, January-December 2013, http://hdl.handle.net/10380/3425.

Project details

These details have not been verified by PyPI

Project links

Release history Release notifications | RSS feed

This version

0.0.1

Nov 26, 2020

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_smoothingrecursiveyvvgaussianfilter-0.0.1-cp39-cp39-win_amd64.whl (254.1 kB view details)

Uploaded Nov 26, 2020 CPython 3.9 Windows x86-64

itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp39-cp39-manylinux1_x86_64.whl (1.2 MB view details)

Uploaded Nov 26, 2020 CPython 3.9

itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp39-cp39-macosx_10_9_x86_64.whl (819.0 kB view details)

Uploaded Nov 26, 2020 CPython 3.9 macOS 10.9+ x86-64

itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp38-cp38-win_amd64.whl (253.4 kB view details)

Uploaded Nov 26, 2020 CPython 3.8 Windows x86-64

itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp38-cp38-manylinux1_x86_64.whl (1.2 MB view details)

Uploaded Nov 26, 2020 CPython 3.8

itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp38-cp38-macosx_10_9_x86_64.whl (819.2 kB view details)

Uploaded Nov 26, 2020 CPython 3.8 macOS 10.9+ x86-64

itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp37-cp37m-win_amd64.whl (253.5 kB view details)

Uploaded Nov 26, 2020 CPython 3.7m Windows x86-64

itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp37-cp37m-manylinux1_x86_64.whl (1.2 MB view details)

Uploaded Nov 26, 2020 CPython 3.7m

itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp37-cp37m-macosx_10_9_x86_64.whl (819.1 kB view details)

Uploaded Nov 26, 2020 CPython 3.7m macOS 10.9+ x86-64

itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp36-cp36m-win_amd64.whl (253.5 kB view details)

Uploaded Nov 26, 2020 CPython 3.6m Windows x86-64

itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp36-cp36m-manylinux1_x86_64.whl (1.2 MB view details)

Uploaded Nov 26, 2020 CPython 3.6m

itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp36-cp36m-macosx_10_9_x86_64.whl (819.1 kB view details)

Uploaded Nov 26, 2020 CPython 3.6m macOS 10.9+ x86-64

File details

Details for the file itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp39-cp39-win_amd64.whl.

File metadata

Download URL: itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp39-cp39-win_amd64.whl
Upload date: Nov 26, 2020
Size: 254.1 kB
Tags: CPython 3.9, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/49.6.0.post20201009 requests-toolbelt/0.9.1 tqdm/4.52.0 CPython/3.8.6

File hashes

Hashes for itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp39-cp39-win_amd64.whl
Algorithm	Hash digest
SHA256	`c5f4f86d64eb5391591f377e9674ee19804ffa4dcd872ffc8f11e82495bef455`
MD5	`91aa2c68cfcb78be8e815f420e214f15`
BLAKE2b-256	`203265d679cf9887254878068b9919adb730c1f43e9bb238fc5f937990406210`

See more details on using hashes here.

File details

Details for the file itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp39-cp39-manylinux1_x86_64.whl.

File metadata

Download URL: itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp39-cp39-manylinux1_x86_64.whl
Upload date: Nov 26, 2020
Size: 1.2 MB
Tags: CPython 3.9
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/49.6.0.post20201009 requests-toolbelt/0.9.1 tqdm/4.52.0 CPython/3.8.6

File hashes

Hashes for itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp39-cp39-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`2ffe2ce57538f1c46486093231fa0818195ce046df1406f981d65c92c32d6133`
MD5	`afd9ab2686efa253d17a92b09e1528e7`
BLAKE2b-256	`e9efa607d7b608ea0dbdb400a7036488e1ef20d8ca133e18e97b1b21159eabdb`

See more details on using hashes here.

File details

Details for the file itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

Download URL: itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp39-cp39-macosx_10_9_x86_64.whl
Upload date: Nov 26, 2020
Size: 819.0 kB
Tags: CPython 3.9, macOS 10.9+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/49.6.0.post20201009 requests-toolbelt/0.9.1 tqdm/4.52.0 CPython/3.8.6

File hashes

Hashes for itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`36a83ae3e7f813b26efcce2cd575cfbe08ac7b8d14342d2dbe34b33418eba366`
MD5	`3a85a50818496a606a150b09da03c799`
BLAKE2b-256	`f1d0c1319f150f28f28c4bb17f9371ebcb00b4ea222b0c691ed24677f256fb78`

See more details on using hashes here.

File details

Details for the file itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp38-cp38-win_amd64.whl.

File metadata

Download URL: itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp38-cp38-win_amd64.whl
Upload date: Nov 26, 2020
Size: 253.4 kB
Tags: CPython 3.8, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/49.6.0.post20201009 requests-toolbelt/0.9.1 tqdm/4.52.0 CPython/3.8.6

File hashes

Hashes for itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp38-cp38-win_amd64.whl
Algorithm	Hash digest
SHA256	`03a54325dc55b0082499c8be584c5e05ddd9a6dfd6d6540d2bde82d06c32ca53`
MD5	`db68d181b6c3ad204f5439fa6e70ef01`
BLAKE2b-256	`f9a92dcce6977cfc5fc7dd55eff0e665aecf18c8fc242ea0374c5271b132cad2`

See more details on using hashes here.

File details

Details for the file itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp38-cp38-manylinux1_x86_64.whl.

File metadata

Download URL: itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp38-cp38-manylinux1_x86_64.whl
Upload date: Nov 26, 2020
Size: 1.2 MB
Tags: CPython 3.8
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/49.6.0.post20201009 requests-toolbelt/0.9.1 tqdm/4.52.0 CPython/3.8.6

File hashes

Hashes for itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp38-cp38-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`9fb07399f0857162a8d0df673e5951fae8bbe59db61c6bd72a1bb18c8ad05156`
MD5	`3ac110cdced713a328bfb5c898e6de84`
BLAKE2b-256	`ec9a36f34b95f93c245bd215bb4b6efe6f24f4e8ca1398a57c2b690a8779db6d`

See more details on using hashes here.

File details

Details for the file itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

Download URL: itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp38-cp38-macosx_10_9_x86_64.whl
Upload date: Nov 26, 2020
Size: 819.2 kB
Tags: CPython 3.8, macOS 10.9+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/49.6.0.post20201009 requests-toolbelt/0.9.1 tqdm/4.52.0 CPython/3.8.6

File hashes

Hashes for itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`bc6ab923aaff4ed19d3f1b69ecc4735784d0397210a8c96331ba28d6b162f6a8`
MD5	`43e79e92b4ae35979ad89a279b77b8aa`
BLAKE2b-256	`c23447541e37d0433dfc09e4314def188e982e69e820a79d544615b9d4c0477c`

See more details on using hashes here.

File details

Details for the file itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp37-cp37m-win_amd64.whl.

File metadata

Download URL: itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp37-cp37m-win_amd64.whl
Upload date: Nov 26, 2020
Size: 253.5 kB
Tags: CPython 3.7m, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/49.6.0.post20201009 requests-toolbelt/0.9.1 tqdm/4.52.0 CPython/3.8.6

File hashes

Hashes for itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp37-cp37m-win_amd64.whl
Algorithm	Hash digest
SHA256	`7b4b9c7da66eb757a801a0795a24e340601f88cdc9ee32429d001438ad0905d1`
MD5	`c67c6e9f80ffb4226c7de2499c7629ae`
BLAKE2b-256	`a1a85f9e7b252b0bdfdd7af6ebb62c9acececab1db4b7fd55d829111a88f8995`

See more details on using hashes here.

File details

Details for the file itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

Download URL: itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp37-cp37m-manylinux1_x86_64.whl
Upload date: Nov 26, 2020
Size: 1.2 MB
Tags: CPython 3.7m
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/49.6.0.post20201009 requests-toolbelt/0.9.1 tqdm/4.52.0 CPython/3.8.6

File hashes

Hashes for itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp37-cp37m-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`90d4c4a0456ecf64706aa98e71ba64632138cde261050ed3606181ee23fae22b`
MD5	`273c18b4c7b1788992e9783a7ac1841f`
BLAKE2b-256	`3329dafce4039175c2dfaeddc34e39cb0e431aec5c5820577458ffefe1548f5b`

See more details on using hashes here.

File details

Details for the file itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

Download URL: itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp37-cp37m-macosx_10_9_x86_64.whl
Upload date: Nov 26, 2020
Size: 819.1 kB
Tags: CPython 3.7m, macOS 10.9+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/49.6.0.post20201009 requests-toolbelt/0.9.1 tqdm/4.52.0 CPython/3.8.6

File hashes

Hashes for itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`6856db8ec8efc114eb0a4dd278de408dafa05007c57e36a45f3801d2f408f73e`
MD5	`39e8effe07e855d417068f36174df085`
BLAKE2b-256	`e4533660249c11f1c1fca60dd067b3806d272fc276de45957956b5b9ad3d4210`

See more details on using hashes here.

File details

Details for the file itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp36-cp36m-win_amd64.whl.

File metadata

Download URL: itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp36-cp36m-win_amd64.whl
Upload date: Nov 26, 2020
Size: 253.5 kB
Tags: CPython 3.6m, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/49.6.0.post20201009 requests-toolbelt/0.9.1 tqdm/4.52.0 CPython/3.8.6

File hashes

Hashes for itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp36-cp36m-win_amd64.whl
Algorithm	Hash digest
SHA256	`ae41a6b7c8228caef05968bd0d01d9a2fbdf13c96a3af5ac7b5ad5a82069d431`
MD5	`08255303b162abf995e9e16952486487`
BLAKE2b-256	`19924c2306c3eb2e25d2cea92d51ed358573df866e0a629b231dd5ebb810427f`

See more details on using hashes here.

File details

Details for the file itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

Download URL: itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp36-cp36m-manylinux1_x86_64.whl
Upload date: Nov 26, 2020
Size: 1.2 MB
Tags: CPython 3.6m
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/49.6.0.post20201009 requests-toolbelt/0.9.1 tqdm/4.52.0 CPython/3.8.6

File hashes

Hashes for itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp36-cp36m-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`10bda3c6b91b5d3ab86018df7d743ac7fccc4b2dfe475aec43eaf8e6ca33ce4d`
MD5	`e87bbfaa427bdc463223bc3848fd2346`
BLAKE2b-256	`4f2431831d2eae88620d754710b6038313beb7f32d8250cbdc2d74db531a4982`

See more details on using hashes here.

File details

Details for the file itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

Download URL: itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp36-cp36m-macosx_10_9_x86_64.whl
Upload date: Nov 26, 2020
Size: 819.1 kB
Tags: CPython 3.6m, macOS 10.9+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/49.6.0.post20201009 requests-toolbelt/0.9.1 tqdm/4.52.0 CPython/3.8.6

File hashes

Hashes for itk_smoothingrecursiveyvvgaussianfilter-0.0.1-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`26e2447f0eb1f5c092c0392c367adad4675324a40b534b57c496d270a159280b`
MD5	`cfc96966d80997f1b225d5b6e6eed2a9`
BLAKE2b-256	`e1355a4f0b403accd133e4bc6a20479f48729a903aa068090bfa32f098ae7d45`

See more details on using hashes here.

itk-smoothingrecursiveyvvgaussianfilter 0.0.1

Navigation

Verified details

Maintainers

Unverified details

Project links

Meta

Classifiers

Project description

Project details

Verified details

Maintainers

Unverified details

Project links

Meta

Classifiers

Release history Release notifications | RSS feed

Download files

Source Distributions

Built Distributions

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes