dgtal

Digital Geometry Tools and Algorithm Library

Project description

DGtal is an open-source, cross-platform library providing Digital Geometry Tools and Algorithms.

Project details

Release history Release notifications | RSS feed

This version

0.0.4

Aug 24, 2021

0.0.2

Feb 4, 2021

0.0.1

Feb 3, 2021

Download files

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

Files for dgtal, version 0.0.4
Filename, size	File type	Python version	Upload date	Hashes
Filename, size dgtal-0.0.4-cp36-cp36m-macosx_10_9_x86_64.whl (5.1 MB)	File type Wheel	Python version cp36	Upload date Aug 24, 2021	Hashes View
Filename, size dgtal-0.0.4-cp36-cp36m-manylinux2014_x86_64.whl (5.2 MB)	File type Wheel	Python version cp36	Upload date Aug 24, 2021	Hashes View
Filename, size dgtal-0.0.4-cp36-cp36m-win_amd64.whl (4.7 MB)	File type Wheel	Python version cp36	Upload date Aug 24, 2021	Hashes View
Filename, size dgtal-0.0.4-cp37-cp37m-macosx_10_9_x86_64.whl (5.1 MB)	File type Wheel	Python version cp37	Upload date Aug 24, 2021	Hashes View
Filename, size dgtal-0.0.4-cp37-cp37m-manylinux2014_x86_64.whl (5.2 MB)	File type Wheel	Python version cp37	Upload date Aug 24, 2021	Hashes View
Filename, size dgtal-0.0.4-cp37-cp37m-win_amd64.whl (4.7 MB)	File type Wheel	Python version cp37	Upload date Aug 24, 2021	Hashes View
Filename, size dgtal-0.0.4-cp38-cp38-macosx_10_9_x86_64.whl (5.1 MB)	File type Wheel	Python version cp38	Upload date Aug 24, 2021	Hashes View
Filename, size dgtal-0.0.4-cp38-cp38-manylinux2014_x86_64.whl (5.1 MB)	File type Wheel	Python version cp38	Upload date Aug 24, 2021	Hashes View
Filename, size dgtal-0.0.4-cp38-cp38-win_amd64.whl (4.8 MB)	File type Wheel	Python version cp38	Upload date Aug 24, 2021	Hashes View
Filename, size dgtal-0.0.4-cp39-cp39-macosx_10_9_x86_64.whl (5.1 MB)	File type Wheel	Python version cp39	Upload date Aug 24, 2021	Hashes View
Filename, size dgtal-0.0.4-cp39-cp39-manylinux2014_x86_64.whl (5.1 MB)	File type Wheel	Python version cp39	Upload date Aug 24, 2021	Hashes View
Filename, size dgtal-0.0.4-cp39-cp39-win_amd64.whl (4.9 MB)	File type Wheel	Python version cp39	Upload date Aug 24, 2021	Hashes View

Hashes for dgtal-0.0.4-cp36-cp36m-macosx_10_9_x86_64.whl

Hashes for dgtal-0.0.4-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`fe3580ddb7713b819551b5722f1b53dfa62d464cc6ea5bbdfa7de2d4525ed76d`
MD5	`63ce4fd7e61ec510c68cf568cbd6a741`
BLAKE2-256	`5065a8a6634450ac075cb208d5b84eb099e7236fc90a95048c3894894304421d`

Hashes for dgtal-0.0.4-cp36-cp36m-manylinux2014_x86_64.whl

Hashes for dgtal-0.0.4-cp36-cp36m-manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`93c3b3ce25c618355c6daa3e47c0f347a1d070436e994823e59f12cdc64bc7c9`
MD5	`294d659131aba2be5957e57d5233a9f4`
BLAKE2-256	`e76cc377b8c06e3ec532544e713054545042caaba3428ea36d022660156b1e2f`

Hashes for dgtal-0.0.4-cp36-cp36m-win_amd64.whl

Hashes for dgtal-0.0.4-cp36-cp36m-win_amd64.whl
Algorithm	Hash digest
SHA256	`dd9ec56f196055473ce6267a6099cd85d867d1ae4e6887b208044d4c1aecf4a6`
MD5	`6bb5493376d68c7cd67034cc6baaeed7`
BLAKE2-256	`259ec60a5b72d3f5c6a5631adaf2c0146bbb7172de44071f7fa3c37142e2b40f`

Hashes for dgtal-0.0.4-cp37-cp37m-macosx_10_9_x86_64.whl

Hashes for dgtal-0.0.4-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`ea76f02b5515f1f307c6646b9f9be07de0c9a1584b72cd771e9d1670f0d0b398`
MD5	`f111b7822826b04d77b6f37b0ccb013e`
BLAKE2-256	`cd70f1f4f01d2cf853b41c53b9c7e8615583f11b30194095f0daf054be67b63e`

Hashes for dgtal-0.0.4-cp37-cp37m-manylinux2014_x86_64.whl

Hashes for dgtal-0.0.4-cp37-cp37m-manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`63cb313ea790b7de03d666f582541bd366785d05b6c68624d07f837cff50e38e`
MD5	`f73d4db48b0f61133a8eca6b48cce998`
BLAKE2-256	`e5f9a3079984558d8383e8c6bed4ae30915c247724a21310d75450a28ebdf283`

Hashes for dgtal-0.0.4-cp37-cp37m-win_amd64.whl

Hashes for dgtal-0.0.4-cp37-cp37m-win_amd64.whl
Algorithm	Hash digest
SHA256	`a2f2bec23e9b93e95d3264d9dc0404be125835e7400d8f0864cabba338cd09a9`
MD5	`dce4113d4bca245acfe04792ca6c5639`
BLAKE2-256	`4233eb56c77a211a8ba0eed6c384097c6975c1953c7b32b9f0bacda2091f007c`

Hashes for dgtal-0.0.4-cp38-cp38-macosx_10_9_x86_64.whl

Hashes for dgtal-0.0.4-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`38b08425c3ffb4c66d7a5698786d7a42efed8a731c6a7e8ab1efcae849f9e55d`
MD5	`3660de11f38f2e4a506ff101ca17ef9b`
BLAKE2-256	`d16de106d069d009a85a0fa684395a28ce9c0c914fbdec14d458d6c22b86956f`

Hashes for dgtal-0.0.4-cp38-cp38-manylinux2014_x86_64.whl

Hashes for dgtal-0.0.4-cp38-cp38-manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`47a8e0e66f8ffde7761c537e6774b993e9d77d096d5a278554dd96a7fe14ce5a`
MD5	`351abc6e0947f103e0e9750eac44e731`
BLAKE2-256	`74470abc9c6067d867e166f6ea86a9c3abf5117091e76cbf427762299bd7198c`

Hashes for dgtal-0.0.4-cp38-cp38-win_amd64.whl

Hashes for dgtal-0.0.4-cp38-cp38-win_amd64.whl
Algorithm	Hash digest
SHA256	`0a97fed5dcd45fb1dbdc6a76ffcd79951630dd90b43e79ffc6aaa12230c04315`
MD5	`a9b5b3b18c710be8f151e86937dcb66f`
BLAKE2-256	`2b548897e2688ca0245dc81fbbfb54b6b94e50c247203133387ae64c050f31ca`

Hashes for dgtal-0.0.4-cp39-cp39-macosx_10_9_x86_64.whl

Hashes for dgtal-0.0.4-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`a4116a3a207b0534a5250f420652d18a15b56760d35ac59a406b8163bf379450`
MD5	`301eeb79eedd69e0319a0caa3576a41d`
BLAKE2-256	`cc661828d279798d6e6df7e236e7b56ec378f81dec222f78ee74cd252a2b0a95`

Hashes for dgtal-0.0.4-cp39-cp39-manylinux2014_x86_64.whl

Hashes for dgtal-0.0.4-cp39-cp39-manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`16ae322e4e971dc0bbf20b4c53975a0b5f404559d768684223ba3ad85a93d3fb`
MD5	`e020cf9bcf6ce7382901c687336d3889`
BLAKE2-256	`6d8f103d5ca3aabe4403c311ddca79db5e0ccc3eaca8cf18ce5ee06a36f5cd00`

Hashes for dgtal-0.0.4-cp39-cp39-win_amd64.whl

Hashes for dgtal-0.0.4-cp39-cp39-win_amd64.whl
Algorithm	Hash digest
SHA256	`32f3fa56505756ea633ea99670cb97412a042911c050b1ae44e84250b2547711`
MD5	`0e50bc658228fb6dc38f30a110a917fc`
BLAKE2-256	`6569a840be77842ab3ce78cb35f59e8a54ac635bcd2d309af41767f3b5307f2c`