itk-meshtopolydata

Convert an ITK Mesh to a simple data structure compatible with vtkPolyData.

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

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This version

0.6.3

Jan 9, 2021

0.6.2

Jun 1, 2020

0.6.1

May 26, 2020

0.6.0

May 4, 2020

0.6rc1 pre-release

Apr 7, 2020

0.5.1

Sep 13, 2019

0.5.0

Sep 11, 2019

0.4.0

Sep 10, 2019

0.3.4

Jul 9, 2019

0.3.3

Jul 9, 2019

0.3.2

Jul 8, 2019

0.3.1

Jul 8, 2019

0.2.0

Jul 7, 2019

0.1.0

Jun 26, 2019

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Files for itk-meshtopolydata, version 0.6.3
Filename, size	File type	Python version	Upload date	Hashes
Filename, size itk_meshtopolydata-0.6.3-cp36-cp36m-macosx_10_9_x86_64.whl (420.5 kB)	File type Wheel	Python version cp36	Upload date Jan 9, 2021	Hashes View
Filename, size itk_meshtopolydata-0.6.3-cp36-cp36m-manylinux1_x86_64.whl (593.3 kB)	File type Wheel	Python version cp36	Upload date Jan 9, 2021	Hashes View
Filename, size itk_meshtopolydata-0.6.3-cp36-cp36m-win_amd64.whl (289.9 kB)	File type Wheel	Python version cp36	Upload date Jan 9, 2021	Hashes View
Filename, size itk_meshtopolydata-0.6.3-cp37-cp37m-macosx_10_9_x86_64.whl (420.5 kB)	File type Wheel	Python version cp37	Upload date Jan 9, 2021	Hashes View
Filename, size itk_meshtopolydata-0.6.3-cp37-cp37m-manylinux1_x86_64.whl (593.3 kB)	File type Wheel	Python version cp37	Upload date Jan 9, 2021	Hashes View
Filename, size itk_meshtopolydata-0.6.3-cp37-cp37m-win_amd64.whl (290.0 kB)	File type Wheel	Python version cp37	Upload date Jan 9, 2021	Hashes View
Filename, size itk_meshtopolydata-0.6.3-cp38-cp38-macosx_10_9_x86_64.whl (420.6 kB)	File type Wheel	Python version cp38	Upload date Jan 9, 2021	Hashes View
Filename, size itk_meshtopolydata-0.6.3-cp38-cp38-manylinux1_x86_64.whl (590.9 kB)	File type Wheel	Python version cp38	Upload date Jan 9, 2021	Hashes View
Filename, size itk_meshtopolydata-0.6.3-cp38-cp38-win_amd64.whl (291.3 kB)	File type Wheel	Python version cp38	Upload date Jan 9, 2021	Hashes View
Filename, size itk_meshtopolydata-0.6.3-cp39-cp39-macosx_10_9_x86_64.whl (420.0 kB)	File type Wheel	Python version cp39	Upload date Jan 9, 2021	Hashes View
Filename, size itk_meshtopolydata-0.6.3-cp39-cp39-manylinux1_x86_64.whl (592.0 kB)	File type Wheel	Python version cp39	Upload date Jan 9, 2021	Hashes View
Filename, size itk_meshtopolydata-0.6.3-cp39-cp39-win_amd64.whl (291.4 kB)	File type Wheel	Python version cp39	Upload date Jan 9, 2021	Hashes View

Hashes for itk_meshtopolydata-0.6.3-cp36-cp36m-macosx_10_9_x86_64.whl

Hashes for itk_meshtopolydata-0.6.3-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`4282d0f10a7b9ce976286fd5fdd4750c6997ec3e89e151152f67f3aae1532c7f`
MD5	`cfa6f8666211fc7f1b81fef50be84eb5`
BLAKE2-256	`efb52e84c7dc87ef020ce03e0664e49cc5f086abf7dfe88f08acc6334bacd76c`

Hashes for itk_meshtopolydata-0.6.3-cp36-cp36m-manylinux1_x86_64.whl

Hashes for itk_meshtopolydata-0.6.3-cp36-cp36m-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`07d3587a3bde862a0f0900be79d54c97ad4fb1b93920ab76c5dc2bbb5fc31d74`
MD5	`6b666a2998b2b46611ac6132940af2be`
BLAKE2-256	`b6c07c3d28fb67efe8d69a9483f8d572fc6b6f577f2260119464215b6c457204`

Hashes for itk_meshtopolydata-0.6.3-cp36-cp36m-win_amd64.whl

Hashes for itk_meshtopolydata-0.6.3-cp36-cp36m-win_amd64.whl
Algorithm	Hash digest
SHA256	`dcf81d704df936a0cb7170caa46ddb5960e293261ad42bd05ceb1c1e65f8593e`
MD5	`07e0b0b3549a70addbe88a8599e58c09`
BLAKE2-256	`2902257bb882998f67d6a77a4720dc63a28006aa9c79e93a9eb9aae377bcb4f9`

Hashes for itk_meshtopolydata-0.6.3-cp37-cp37m-macosx_10_9_x86_64.whl

Hashes for itk_meshtopolydata-0.6.3-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`68f3fc721e801ab49027c30c9c4761513b69105f5b0d609cde2237cd87178369`
MD5	`ec8bc1ac4b699c8672f68371e6e888ae`
BLAKE2-256	`083a2e80683abb3e90bf29f20b26944c48280617fccbc231c5478386029ce699`

Hashes for itk_meshtopolydata-0.6.3-cp37-cp37m-manylinux1_x86_64.whl

Hashes for itk_meshtopolydata-0.6.3-cp37-cp37m-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`7a1ca27aea1d7f43524bd22ce1cbb897ecb44b8cb2e4bfdf052a71494a59b531`
MD5	`eba7aecc87690c5375cbac272e733f00`
BLAKE2-256	`9399b7ed645b21eba6a25a70760027b83265b9a076da0fd32f1ef5867129c839`

Hashes for itk_meshtopolydata-0.6.3-cp37-cp37m-win_amd64.whl

Hashes for itk_meshtopolydata-0.6.3-cp37-cp37m-win_amd64.whl
Algorithm	Hash digest
SHA256	`6596917170d75302c4bc0614bb34683972267dee8ee567166419445e291efed9`
MD5	`890fa0df222c0b02bb5d85594106f8ce`
BLAKE2-256	`efa550aa7ac8514747b200be64217b830bf9077485f454d120b1fee06a73512d`

Hashes for itk_meshtopolydata-0.6.3-cp38-cp38-macosx_10_9_x86_64.whl

Hashes for itk_meshtopolydata-0.6.3-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`dd7a3bf1134b215a82810570bdb7dc0155ab1652f564d3f40c000ef2c7e8422c`
MD5	`8767217436b6b6978171c5984417145f`
BLAKE2-256	`0e5160da84a16e8d68553824030b7330085f4e13ec6b045e49a839c9adb01731`

Hashes for itk_meshtopolydata-0.6.3-cp38-cp38-manylinux1_x86_64.whl

Hashes for itk_meshtopolydata-0.6.3-cp38-cp38-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`90218cbc28deadbd8428f86bffc503048571b97f4e3e2a364d7bf35f95de2895`
MD5	`00697874ad9f033f5ae69f3a5c0fd76d`
BLAKE2-256	`342133be7845aa4254dfea02268594ad5f7078e249068220bfb6447442bba34a`

Hashes for itk_meshtopolydata-0.6.3-cp38-cp38-win_amd64.whl

Hashes for itk_meshtopolydata-0.6.3-cp38-cp38-win_amd64.whl
Algorithm	Hash digest
SHA256	`d7db6bcd22c8fa4a86500628aaf4fc0d10aa3907d0cd214c393853b7200e7d6d`
MD5	`1a7a71a1ae3b37b14b20b5cb1009941a`
BLAKE2-256	`38bb48e227d9675ca65350a376abc7b4d263ec0e55b50552336ade2f58f422aa`

Hashes for itk_meshtopolydata-0.6.3-cp39-cp39-macosx_10_9_x86_64.whl

Hashes for itk_meshtopolydata-0.6.3-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`3e7c5c17bd3c3518f03fde874dd2d0540e3c36aaef3f9ad0d004a7e373b2988c`
MD5	`23d53d5c2056ed71bcfbbd8f1da6c938`
BLAKE2-256	`5b3d074a271da21409a7d622e4cf43f611eb6f972825c8c214c4199e57455a09`

Hashes for itk_meshtopolydata-0.6.3-cp39-cp39-manylinux1_x86_64.whl

Hashes for itk_meshtopolydata-0.6.3-cp39-cp39-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`3bfad563e9fc50f18702831bb123027e1bf821f3765f5be9045b37539a29c826`
MD5	`6910c5b6c0275d5ec16d20edb46e85b7`
BLAKE2-256	`db59d68e6a1811413fde0e23015c76821bffcea524fb41a9a98c0ec969a33eec`

Hashes for itk_meshtopolydata-0.6.3-cp39-cp39-win_amd64.whl

Hashes for itk_meshtopolydata-0.6.3-cp39-cp39-win_amd64.whl
Algorithm	Hash digest
SHA256	`fb9661e6618c294388d3648e2cd9d283d8e9de26455a743659854f2ed2ff08ee`
MD5	`99f1613511eaa9e38f95da85c4f79b82`
BLAKE2-256	`ae1aef60eb772226d2f8039955ee696b25fac4d41c84ffb73c51865acc6a3605`