PartSeg is python GUI for bio imaging analysis especially nucleus analysis,

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for massad from gravatar.com massad

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (BSD-3-Clause)
  • Author: Grzegorz Bokota
  • Tags bioimaging, GUI
  • Requires: Python >=3.6
Classifiers

Project description

PartSeg

Travis Build Status PyPI version Documentation Status Azure Pipelines Build Status DOI Total alerts Language grade: Python Codacy Badge Requirements Status Code Style

PartSeg is gui and library for segmentation algorithms.

This application is designed to help biologist with segmentation based on threshold and connected components

interface

Tutorials

  • Tutorial: Chromosome 1 (as gui) link
  • Data for chromosome 1 tutorial link
  • Tutorial: Different neuron types (as library) link

Installing

  • From binaries:

    • Windows (build on Windows 10)
    • Linux (build on Ubuntu 18.04)
    • MacOS (build on MacOS Mojave)

  • With pip (on linux you need to install numpy and cython earlier)

    • From pypi: pip install PartSeg
    • From repository: pip install git+https://github.com/4DNucleome/PartSeg.git

Running

If you download binaries look for PartSeg_exec file inside the PartSeg folder

If you install from repository or from pip you cat run it with PartSeg command or python -m PartSeg. First option do not work on Windows.

PartSeg export few commandline options:

  • --no_report - disable reporting errors to authors
  • --no_dialog - disable reporting errors to authors and showing error dialog. Use only when running from terminal.
  • segmentation_analysis - skip launcher and start analysis gui
  • segmentation - skip launcher and start segmentation gui

Additional remarks

PartSeg use current imagecodecs-lite as backed for tifffile. You may install full version if imagecodecs manually.

Save Format

Saved project are tar files compressed with gzip or bz2

Metadata are saved in data.json file (in json format) images/mask are saved as *.npy (numpy array format)

Interface

Launcher. Chose program that you will launch:

launcher

Main window of Segmentation Analysis:

interface

Main window of Segmentation Analysis with view on measurement result:

interface

Window for creating set of measurements:

statistics

Main window of Mask Segmentation:

mask interface

Laboratory

Laboratory of functional and structural genomics http://4dnucleome.cent.uw.edu.pl/

Changelog

0.10.3

  • deterministic order of elements in batch processing.

0.10.2

  • bugfixes

0.10.1

  • bugfixes

0.10.0

  • Add creating custom label coloring.
  • Change execs interpreter to python 3.7.
  • Add masking operation in Segmentation Mask.
  • Change license to BSD.
  • Allow select root type in batch processing.
  • Add median filter in preview.

0.9.7

  • fix bug in compare mask

0.9.6

  • fix bug in loading project with mask
  • upgrade PyInstaller version (bug GHSA-7fcj-pq9j-wh2r)

0.9.5

  • fix bug in loading project in "Segmentation analysis"

0.9.4

  • read mask segmentation projects
  • choose source type in batch
  • add initial support to OIF and CZI file format
  • extract utils to PartSegCore module
  • add automated tests of example notebook
  • reversed mask
  • load segmentation parameters in mask segmentation
  • allow use sprawl in segmentation tool
  • add radial split of mask for measurement
  • add all measurement results in batch, per component sheet

0.9.3

  • start automated build documentation
  • change color map backend and allow for user to create custom color map.
  • segmentation compare
  • update test engines
  • support of PySide2

0.9.2.3

  • refactor code to make easier create plugin for mask segmentation
  • create class base updater for update outdated algorithm description
  • fix save functions
  • fix different bugs

0.9.2.2

  • extract static data to separated package
  • update marker of fix range and add mark of gauss in channel control

0.9.2.1

  • add VoteSmooth and add choosing of smooth algorithm

0.9.2

  • add pypi base check for update

  • remove resetting image state when change state in same image

  • in stack segmentation add options to picking components from segmentation's

  • in mask segmentation add:

    • preview of segmentation parameters per component,
    • save segmentation parameters in save file
    • new implementation of batch mode.

0.9.1

  • Add multiple files widget

  • Add Calculating distances between segmented object and mask

  • Batch processing plan fixes:

    • Fix adding pipelines to plan
    • Redesign mask widget

  • modify measurement backend to allow calculate multi channel measurements.

0.9

Begin of changelog

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for massad from gravatar.com massad

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (BSD-3-Clause)
  • Author: Grzegorz Bokota
  • Tags bioimaging, GUI
  • Requires: Python >=3.6
Classifiers

Release history Release notifications | RSS feed

0.16.0a1 pre-release

0.15.4

0.15.4b7 pre-release

0.15.4b6 pre-release

0.15.4b5 pre-release

0.15.4b4 pre-release

0.15.4b3 pre-release

0.15.4b2 pre-release

0.15.4b1 pre-release

0.15.4b0 pre-release

0.15.3

0.15.3a5 pre-release

0.15.3a4 pre-release

0.15.3a3 pre-release

0.15.3a2 pre-release

0.15.2

0.15.1

0.15.0

0.14.6

0.14.5

0.14.4

0.14.3

0.14.2

0.14.1

0.14.0

0.13.15

0.13.14

0.13.13

0.13.12

0.13.11

0.13.10

0.13.9

0.13.8

0.13.7

0.13.6

0.13.5

0.13.4

0.13.3

0.13.2

0.13.1

0.13.0

0.12.7

0.12.6

0.12.5

0.12.4

0.12.3

0.12.2

0.12.1

0.12.0

0.12.0a0 pre-release

0.11.5

0.11.3

0.11.2

0.11.1

0.11.0

0.11.0b2 pre-release

0.10.8

0.10.7

0.10.6

0.10.5

0.10.4

This version

0.10.3

0.10.2

0.10.1

0.10.0

0.9.7

0.9.6

0.9.5

0.9.4

0.9.3.post5

0.9.3.post4

0.9.3.post3

0.9.3.post2

0.9.3.post1

0.9.2.3

0.9.2.2

0.9.2.1

0.9.2

0.9.1

0.9

0.9b2 pre-release

0.9b1 pre-release

0.8.6

0.8.4

0.8.3

0.8.2

0.8

Download files

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

Source Distribution

PartSeg-0.10.3.tar.gz (1.1 MB view details)

Uploaded Source

Built Distributions

PartSeg-0.10.3-cp38-cp38-win_amd64.whl (1.8 MB view details)

Uploaded CPython 3.8 Windows x86-64

PartSeg-0.10.3-cp38-cp38-manylinux2014_x86_64.whl (5.0 MB view details)

Uploaded CPython 3.8

PartSeg-0.10.3-cp38-cp38-manylinux2010_x86_64.whl (5.5 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ x86-64

PartSeg-0.10.3-cp38-cp38-manylinux1_x86_64.whl (5.5 MB view details)

Uploaded CPython 3.8

PartSeg-0.10.3-cp38-cp38-macosx_10_14_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.8 macOS 10.14+ x86-64

PartSeg-0.10.3-cp38-cp38-macosx_10_9_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

PartSeg-0.10.3-cp37-cp37m-win_amd64.whl (1.8 MB view details)

Uploaded CPython 3.7m Windows x86-64

PartSeg-0.10.3-cp37-cp37m-manylinux2014_x86_64.whl (4.6 MB view details)

Uploaded CPython 3.7m

PartSeg-0.10.3-cp37-cp37m-manylinux2010_x86_64.whl (5.1 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.12+ x86-64

PartSeg-0.10.3-cp37-cp37m-manylinux1_x86_64.whl (5.1 MB view details)

Uploaded CPython 3.7m

PartSeg-0.10.3-cp37-cp37m-macosx_10_14_intel.whl (2.6 MB view details)

Uploaded CPython 3.7m macOS 10.14+ intel

PartSeg-0.10.3-cp37-cp37m-macosx_10_9_intel.whl (2.6 MB view details)

Uploaded CPython 3.7m macOS 10.9+ intel

PartSeg-0.10.3-cp36-cp36m-win_amd64.whl (1.8 MB view details)

Uploaded CPython 3.6m Windows x86-64

PartSeg-0.10.3-cp36-cp36m-manylinux2014_x86_64.whl (4.6 MB view details)

Uploaded CPython 3.6m

PartSeg-0.10.3-cp36-cp36m-manylinux2010_x86_64.whl (5.1 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.12+ x86-64

PartSeg-0.10.3-cp36-cp36m-manylinux1_x86_64.whl (5.1 MB view details)

Uploaded CPython 3.6m

PartSeg-0.10.3-cp36-cp36m-macosx_10_14_intel.whl (2.6 MB view details)

Uploaded CPython 3.6m macOS 10.14+ intel

PartSeg-0.10.3-cp36-cp36m-macosx_10_9_intel.whl (2.6 MB view details)

Uploaded CPython 3.6m macOS 10.9+ intel

File details

Details for the file PartSeg-0.10.3.tar.gz.

File metadata

  • Download URL: PartSeg-0.10.3.tar.gz
  • Upload date:
  • Size: 1.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.0.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.8.2

File hashes

Hashes for PartSeg-0.10.3.tar.gz
Algorithm Hash digest
SHA256 0844e14fa71f9614e9731a3ed685802bb2437064dd0c70bc47d0ecb9485c070d
MD5 b8065ddac42cfe0ab1623b4eacb7c1db
BLAKE2b-256 dca32f3e28cb8fa4e7e4788bcbf9208e9c6ec917c857bf8dae0f884df6518e98

See more details on using hashes here.

File details

Details for the file PartSeg-0.10.3-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: PartSeg-0.10.3-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 1.8 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.0.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.8.2

File hashes

Hashes for PartSeg-0.10.3-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 81c5437830c76269d33d9cef4d65df36594423e73e882ed67dd2bfa423cde21c
MD5 c2c445f71dac134e7b6c07939bb2706e
BLAKE2b-256 b3747551ef640b919329fb1a8ffbae1c047000402790beb535d1679420cf1e0e

See more details on using hashes here.

File details

Details for the file PartSeg-0.10.3-cp38-cp38-manylinux2014_x86_64.whl.

File metadata

  • Download URL: PartSeg-0.10.3-cp38-cp38-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 5.0 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.0.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.8.2

File hashes

Hashes for PartSeg-0.10.3-cp38-cp38-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b63edd7d1655e4dfba79a8fd68bcd4402afa353f87400adabf074d1d9d8e7ef9
MD5 657be64e7d705d0727216f0029c8fe1f
BLAKE2b-256 c71802b291369903282457e0be2e2b92a874e3cb9ef6ddf6d6aae1959e11966a

See more details on using hashes here.

File details

Details for the file PartSeg-0.10.3-cp38-cp38-manylinux2010_x86_64.whl.

File metadata

  • Download URL: PartSeg-0.10.3-cp38-cp38-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 5.5 MB
  • Tags: CPython 3.8, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.0.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.8.2

File hashes

Hashes for PartSeg-0.10.3-cp38-cp38-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 3688329d756a9bcc2e6acf144a67ddeb19b57a87d24ae3bb117741c4808df818
MD5 584467a4324fc2ac436787a9fb87c156
BLAKE2b-256 dd0c049b17cfa0c41db61eb1ad1d5a897576d111a3910bd0234f93bc37f3dac6

See more details on using hashes here.

File details

Details for the file PartSeg-0.10.3-cp38-cp38-manylinux1_x86_64.whl.

File metadata

  • Download URL: PartSeg-0.10.3-cp38-cp38-manylinux1_x86_64.whl
  • Upload date:
  • Size: 5.5 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.0.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.8.2

File hashes

Hashes for PartSeg-0.10.3-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 21a485b28eed3b7092c7ed0a6340eff02843cf12e15227e1d8bd255184836b76
MD5 b12037621c1aaa22a36dd3cd13ea3be7
BLAKE2b-256 3ddbe093d17b01178b638bb5b821b1320baddc8421660e75d6e72541b2b00a5d

See more details on using hashes here.

File details

Details for the file PartSeg-0.10.3-cp38-cp38-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: PartSeg-0.10.3-cp38-cp38-macosx_10_14_x86_64.whl
  • Upload date:
  • Size: 1.9 MB
  • Tags: CPython 3.8, macOS 10.14+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.0.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.8.2

File hashes

Hashes for PartSeg-0.10.3-cp38-cp38-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 cdf5176ad3e2a29649f4148c7a8adc7544e06e6767dd5cf57ba8372f5ada9bc0
MD5 5a32dba9a3e654df376bad0523b738fb
BLAKE2b-256 3a1151438c948d5b8d740a3e90e74e57579be65c50718f75d0f759ef78dfaf06

See more details on using hashes here.

File details

Details for the file PartSeg-0.10.3-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: PartSeg-0.10.3-cp38-cp38-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 1.9 MB
  • Tags: CPython 3.8, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.0.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.8.2

File hashes

Hashes for PartSeg-0.10.3-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 59924cb02b918f67b74eb1cb78072e8f0540a0db8967dee0fd70a9d740c4e9f6
MD5 c0a3faa301c1e1ed374d58c993f17d5e
BLAKE2b-256 af414a0275fdfa625e021d1770dbac469cdf514e65782c6ad4bde4f7eb02fb4f

See more details on using hashes here.

File details

Details for the file PartSeg-0.10.3-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: PartSeg-0.10.3-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 1.8 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.0.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.8.2

File hashes

Hashes for PartSeg-0.10.3-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 6e620e81aab5dc16e5f6beda92a4a1fcdb350f5d0b44782b31c7b84bc81f75ff
MD5 c0b8665dbc1cbd8fbd612cb7f9bd125a
BLAKE2b-256 4be6807bf76d65d45c67a058129bc51acb70a4ede68ecfa1b920a91263be9bc9

See more details on using hashes here.

File details

Details for the file PartSeg-0.10.3-cp37-cp37m-manylinux2014_x86_64.whl.

File metadata

  • Download URL: PartSeg-0.10.3-cp37-cp37m-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 4.6 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.0.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.8.2

File hashes

Hashes for PartSeg-0.10.3-cp37-cp37m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ebae0428923bdb341efea70395240257a1577577943c720d1e2709c4ad4d1259
MD5 1f2918310e22cbb2cfa3275fcb366cbb
BLAKE2b-256 2bc58b82a02d9e1d925a60924912f2cc77cf88eb7231f7d34c2b2c58ebee3666

See more details on using hashes here.

File details

Details for the file PartSeg-0.10.3-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: PartSeg-0.10.3-cp37-cp37m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 5.1 MB
  • Tags: CPython 3.7m, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.0.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.8.2

File hashes

Hashes for PartSeg-0.10.3-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 7666c7ee021ab08f43d39fe0a1aa94d71013d372829278aa80e4ccf276f57eb7
MD5 f32ce5a373ec4298cef67cd25f281fb4
BLAKE2b-256 9fc5744d72b558d30056cc0758d4c8d219d924d3737bab76ff5906fdec65a11b

See more details on using hashes here.

File details

Details for the file PartSeg-0.10.3-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

  • Download URL: PartSeg-0.10.3-cp37-cp37m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 5.1 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.0.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.8.2

File hashes

Hashes for PartSeg-0.10.3-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 59e2da1924bd3765b7aefd11968513ab40d3411d44bf8eb593a0b3c3de6cd7b9
MD5 92b6627fcb19a9248c5a119b0231a649
BLAKE2b-256 26a6c41ad4b6c621aa53dd0ebf22dd9aa0563b3b41197431322821839b7cb527

See more details on using hashes here.

File details

Details for the file PartSeg-0.10.3-cp37-cp37m-macosx_10_14_intel.whl.

File metadata

  • Download URL: PartSeg-0.10.3-cp37-cp37m-macosx_10_14_intel.whl
  • Upload date:
  • Size: 2.6 MB
  • Tags: CPython 3.7m, macOS 10.14+ intel
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.0.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.8.2

File hashes

Hashes for PartSeg-0.10.3-cp37-cp37m-macosx_10_14_intel.whl
Algorithm Hash digest
SHA256 adb1fdb20a767ab815b4ad2471c444ccca75b6b7925ff1613eccc3756ff66513
MD5 859192d312d3f79451dd0289065a0953
BLAKE2b-256 ce5b0e39cbeef31c4a7b2170e919a5978b9b93613c5e1b78950c63a7bd9a838a

See more details on using hashes here.

File details

Details for the file PartSeg-0.10.3-cp37-cp37m-macosx_10_9_intel.whl.

File metadata

  • Download URL: PartSeg-0.10.3-cp37-cp37m-macosx_10_9_intel.whl
  • Upload date:
  • Size: 2.6 MB
  • Tags: CPython 3.7m, macOS 10.9+ intel
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.0.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.8.2

File hashes

Hashes for PartSeg-0.10.3-cp37-cp37m-macosx_10_9_intel.whl
Algorithm Hash digest
SHA256 a9105120dbc9034b135511dabe476db4398b65f09769c450c1d6d527ad209266
MD5 eebc166f6c39195f1939e4df273b1390
BLAKE2b-256 b0220ba1811467c7f6c14a8a4be9966b1444abfc53a9f7c98b75e34e0acc13be

See more details on using hashes here.

File details

Details for the file PartSeg-0.10.3-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: PartSeg-0.10.3-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 1.8 MB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.0.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.8.2

File hashes

Hashes for PartSeg-0.10.3-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 a09a1a4ae4cab1aa177282392fff2052cbcbee9882b6e67873194d647b8a0a61
MD5 6d6b5ef41cdfa86430befe435f5047c1
BLAKE2b-256 b7087a53a9986028acdad0ba547024d5c255fc280a757f23c23acb388cb93fa1

See more details on using hashes here.

File details

Details for the file PartSeg-0.10.3-cp36-cp36m-manylinux2014_x86_64.whl.

File metadata

  • Download URL: PartSeg-0.10.3-cp36-cp36m-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 4.6 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.0.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.8.2

File hashes

Hashes for PartSeg-0.10.3-cp36-cp36m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ee8e4f26f70bb4e08c76b518dbf8fb9c9278555b68a6e8ee71b4cec4d9e23581
MD5 b85467aea67e438c8cc03088163f25f2
BLAKE2b-256 796fd9a840c97548b33031fb4107ca09f3605311e751ffb5d923733606b17dd8

See more details on using hashes here.

File details

Details for the file PartSeg-0.10.3-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: PartSeg-0.10.3-cp36-cp36m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 5.1 MB
  • Tags: CPython 3.6m, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.0.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.8.2

File hashes

Hashes for PartSeg-0.10.3-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 6d11bd04fd10548182a5ed2636a8a358d3255df2d4b158d481337721c4d99751
MD5 b729a4466672925b8b86f35b305bf9ef
BLAKE2b-256 7f3122ebed4b0dd23ca5d9a60974df04f7238222997821d46403486610534312

See more details on using hashes here.

File details

Details for the file PartSeg-0.10.3-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

  • Download URL: PartSeg-0.10.3-cp36-cp36m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 5.1 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.0.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.8.2

File hashes

Hashes for PartSeg-0.10.3-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 611ee0102541b8ef8c03bef058801da0cd5b72fe2f847c650e8b435470c188a3
MD5 398b894f862ccefbff67e554f124fd1f
BLAKE2b-256 27ea709f11f6e6a3d3a779edb92215c1c259d3e6e1dc8e7194d1a3c271e93c0e

See more details on using hashes here.

File details

Details for the file PartSeg-0.10.3-cp36-cp36m-macosx_10_14_intel.whl.

File metadata

  • Download URL: PartSeg-0.10.3-cp36-cp36m-macosx_10_14_intel.whl
  • Upload date:
  • Size: 2.6 MB
  • Tags: CPython 3.6m, macOS 10.14+ intel
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.0.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.8.2

File hashes

Hashes for PartSeg-0.10.3-cp36-cp36m-macosx_10_14_intel.whl
Algorithm Hash digest
SHA256 af560a826f07a1804d06a18f3d92c95f3b9d4d9da2460eb065d1c3e99e43fc41
MD5 5e8f123c9ec92c1d31343d3160b625da
BLAKE2b-256 1dc76bca596c731acb22d57dd00b620519d70e2e4b501408e75d130d6217b3d4

See more details on using hashes here.

File details

Details for the file PartSeg-0.10.3-cp36-cp36m-macosx_10_9_intel.whl.

File metadata

  • Download URL: PartSeg-0.10.3-cp36-cp36m-macosx_10_9_intel.whl
  • Upload date:
  • Size: 2.6 MB
  • Tags: CPython 3.6m, macOS 10.9+ intel
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.0.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.8.2

File hashes

Hashes for PartSeg-0.10.3-cp36-cp36m-macosx_10_9_intel.whl
Algorithm Hash digest
SHA256 f33fd07767a71a11f9173fa6b0f054de5f4c169be7471c11a909c8dab037e204
MD5 7ff523128baa1fafe538a59181088a33
BLAKE2b-256 e1683fff7599939b625f161e25ae7c75929d79f32f0ea2496a4c721787963079

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