itk-meshnoise

Classes to perturb mesh objects with Gaussian noise

Project description

itk-meshnoise provides classes to perturb mesh objects with Gaussian noise. Please refer to: Vigneault D., “Perturbing Mesh Vertices with Additive Gaussian Noise”, Insight Journal, January-December 2016, http://hdl.handle.net/10380/3567.

Project details

Release history Release notifications | RSS feed

This version

0.0.1

Jul 15, 2020

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for itk-meshnoise, version 0.0.1
Filename, size	File type	Python version	Upload date	Hashes
Filename, size itk_meshnoise-0.0.1-cp35-cp35m-macosx_10_9_x86_64.whl (459.0 kB)	File type Wheel	Python version cp35	Upload date Jul 15, 2020	Hashes View
Filename, size itk_meshnoise-0.0.1-cp35-cp35m-manylinux1_x86_64.whl (549.0 kB)	File type Wheel	Python version cp35	Upload date Jul 15, 2020	Hashes View
Filename, size itk_meshnoise-0.0.1-cp35-cp35m-win_amd64.whl (308.8 kB)	File type Wheel	Python version cp35	Upload date Jul 15, 2020	Hashes View
Filename, size itk_meshnoise-0.0.1-cp36-cp36m-macosx_10_9_x86_64.whl (459.0 kB)	File type Wheel	Python version cp36	Upload date Jul 15, 2020	Hashes View
Filename, size itk_meshnoise-0.0.1-cp36-cp36m-manylinux1_x86_64.whl (549.0 kB)	File type Wheel	Python version cp36	Upload date Jul 15, 2020	Hashes View
Filename, size itk_meshnoise-0.0.1-cp36-cp36m-win_amd64.whl (309.0 kB)	File type Wheel	Python version cp36	Upload date Jul 15, 2020	Hashes View
Filename, size itk_meshnoise-0.0.1-cp37-cp37m-macosx_10_9_x86_64.whl (458.9 kB)	File type Wheel	Python version cp37	Upload date Jul 15, 2020	Hashes View
Filename, size itk_meshnoise-0.0.1-cp37-cp37m-manylinux1_x86_64.whl (549.0 kB)	File type Wheel	Python version cp37	Upload date Jul 15, 2020	Hashes View
Filename, size itk_meshnoise-0.0.1-cp37-cp37m-win_amd64.whl (309.3 kB)	File type Wheel	Python version cp37	Upload date Jul 15, 2020	Hashes View
Filename, size itk_meshnoise-0.0.1-cp38-cp38-macosx_10_9_x86_64.whl (458.9 kB)	File type Wheel	Python version cp38	Upload date Jul 15, 2020	Hashes View
Filename, size itk_meshnoise-0.0.1-cp38-cp38-manylinux1_x86_64.whl (548.7 kB)	File type Wheel	Python version cp38	Upload date Jul 15, 2020	Hashes View
Filename, size itk_meshnoise-0.0.1-cp38-cp38-win_amd64.whl (310.6 kB)	File type Wheel	Python version cp38	Upload date Jul 15, 2020	Hashes View

Hashes for itk_meshnoise-0.0.1-cp35-cp35m-macosx_10_9_x86_64.whl

Hashes for itk_meshnoise-0.0.1-cp35-cp35m-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`9f4e432c14e2b1f98ece7b7828a875348b718cdc65224df067a17c8475c6c705`
MD5	`2a22fb0452a6228dfd40c75302905d16`
BLAKE2-256	`53c26c51054b3fd1d58c23f53544a9afd6fcbab02810e1dfbf6b277a2bbe4332`

Hashes for itk_meshnoise-0.0.1-cp35-cp35m-manylinux1_x86_64.whl

Hashes for itk_meshnoise-0.0.1-cp35-cp35m-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`6c32a227551efdd1366bc3d529020ba83e8c76c96047974464cd00008c5268f5`
MD5	`dd68c5ec89342eea80a52b949db037c7`
BLAKE2-256	`83db6eb0dc8156be85f0f9926555cc6afeb58ed1b5857b7bec3f14f623efc9ef`

Hashes for itk_meshnoise-0.0.1-cp35-cp35m-win_amd64.whl

Hashes for itk_meshnoise-0.0.1-cp35-cp35m-win_amd64.whl
Algorithm	Hash digest
SHA256	`d379065a64708f964e2d29f54df21f541d04ccf1878a15b30b125758d5428611`
MD5	`012a050ce853375c3dbae6fcd0a65a25`
BLAKE2-256	`4d03acc576d1295a4679612576b8ac1b9d30d740ba9112d1b7479d464a8f8ddd`

Hashes for itk_meshnoise-0.0.1-cp36-cp36m-macosx_10_9_x86_64.whl

Hashes for itk_meshnoise-0.0.1-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`80591deb00efe5069f3b1803a197d8fad001f2182ee62a580e9fcd4113a670a2`
MD5	`b3419795616aebb68dba2cd5e10237ff`
BLAKE2-256	`742ffead77e56731a420de13daf391090c05328d597bd9c83bcd50058bb46436`

Hashes for itk_meshnoise-0.0.1-cp36-cp36m-manylinux1_x86_64.whl

Hashes for itk_meshnoise-0.0.1-cp36-cp36m-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`53197b9ac5fb1e19c12a277a782b98924b09d360f81e4e69fa86c618f9cd0698`
MD5	`f3f1f34319a9daf8ed04d144eb46fb16`
BLAKE2-256	`dcf1b1473466c7acfb2b01a852672b79c48583e746b661984e414893b96ff04e`

Hashes for itk_meshnoise-0.0.1-cp36-cp36m-win_amd64.whl

Hashes for itk_meshnoise-0.0.1-cp36-cp36m-win_amd64.whl
Algorithm	Hash digest
SHA256	`615bcb4704f677421176c032ebccf59fd5588b0a197baacf8c6697f2bccd0bf0`
MD5	`ad164b9f26b5d786c3d507e59007f867`
BLAKE2-256	`ce1d232109468f9e1a3e483f858fb643ec0a13988f010392bcd4402c4d24f1e4`

Hashes for itk_meshnoise-0.0.1-cp37-cp37m-macosx_10_9_x86_64.whl

Hashes for itk_meshnoise-0.0.1-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`3a8af18a9ded0f78b53e8006c6e44aa2c7614c08d041bf7a49f43705aed0ba28`
MD5	`78a7c1898db094202efa2a36b17ac790`
BLAKE2-256	`13008da11cd22db2fec5cbef0fb3ed7069b5fcd43821500ca2248d9609a536d8`

Hashes for itk_meshnoise-0.0.1-cp37-cp37m-manylinux1_x86_64.whl

Hashes for itk_meshnoise-0.0.1-cp37-cp37m-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`f936c20175d50e9db98d0723d919949f278076c26597aa4e4a5bdd0dacf2ef4f`
MD5	`a65a2cab8fe9e3ffe9f7af3467282f45`
BLAKE2-256	`c792f8e4a95a2a5dbc59ca1dc0124820995369e3c55346fe0d43bc7d44a23e98`

Hashes for itk_meshnoise-0.0.1-cp37-cp37m-win_amd64.whl

Hashes for itk_meshnoise-0.0.1-cp37-cp37m-win_amd64.whl
Algorithm	Hash digest
SHA256	`50d5a37cefceac7de75ffdb1590c488e46683238b4a72486d636d1b08333cc73`
MD5	`56f1d7ef4d8cfa8a83385a9cf360b697`
BLAKE2-256	`86930bed09fcf985cb42ac25624e46725f03054a89b8e6daa15dc50bf6c8230e`

Hashes for itk_meshnoise-0.0.1-cp38-cp38-macosx_10_9_x86_64.whl

Hashes for itk_meshnoise-0.0.1-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`22eaf980be40aa64c51978391922930aa4967391bdc549e7048402800ea80d1c`
MD5	`908a8e5394090c9c452c93d98512dd2c`
BLAKE2-256	`b26f23abc67683ed0bbd9dc3527ee40769264d12d256e77a6e4e5ed032b0632b`

Hashes for itk_meshnoise-0.0.1-cp38-cp38-manylinux1_x86_64.whl

Hashes for itk_meshnoise-0.0.1-cp38-cp38-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`484536f270b7df8091f855cc2f40611f99912b5a88f1d1f8cc8f67ac9c4550f0`
MD5	`4ea47b5f08218b5d1a27ee9753aba862`
BLAKE2-256	`8592edc11e2b359609cd99489cd0cf0bba8eb3d37ff9d8e534b5cc9bd679b13a`

Hashes for itk_meshnoise-0.0.1-cp38-cp38-win_amd64.whl

Hashes for itk_meshnoise-0.0.1-cp38-cp38-win_amd64.whl
Algorithm	Hash digest
SHA256	`2e48e6c25cae859ea84ce3539b0480f6fad44975da9b5f51ffeb849bc0c73773`
MD5	`f8f406e68bc6c69620fe5a39f5c53bc9`
BLAKE2-256	`223535efd82a85a84c42e40e49b42e1b117989cc6c3e5e1efa396f2b4dc484ac`