Skip to main content

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

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


Release history Release notifications | RSS feed

Download files

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

Source Distribution

PartSeg-0.10.4.tar.gz (1.1 MB view details)

Uploaded Source

Built Distributions

PartSeg-0.10.4-cp38-cp38-win_amd64.whl (1.8 MB view details)

Uploaded CPython 3.8 Windows x86-64

PartSeg-0.10.4-cp38-cp38-manylinux2014_x86_64.whl (5.0 MB view details)

Uploaded CPython 3.8

PartSeg-0.10.4-cp38-cp38-manylinux2010_x86_64.whl (5.5 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ x86-64

PartSeg-0.10.4-cp38-cp38-manylinux1_x86_64.whl (5.5 MB view details)

Uploaded CPython 3.8

PartSeg-0.10.4-cp38-cp38-macosx_10_14_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.8 macOS 10.14+ x86-64

PartSeg-0.10.4-cp38-cp38-macosx_10_9_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

PartSeg-0.10.4-cp37-cp37m-win_amd64.whl (1.8 MB view details)

Uploaded CPython 3.7m Windows x86-64

PartSeg-0.10.4-cp37-cp37m-manylinux2014_x86_64.whl (4.6 MB view details)

Uploaded CPython 3.7m

PartSeg-0.10.4-cp37-cp37m-manylinux2010_x86_64.whl (5.1 MB view details)

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

PartSeg-0.10.4-cp37-cp37m-manylinux1_x86_64.whl (5.1 MB view details)

Uploaded CPython 3.7m

PartSeg-0.10.4-cp37-cp37m-macosx_10_14_intel.whl (2.6 MB view details)

Uploaded CPython 3.7m macOS 10.14+ intel

PartSeg-0.10.4-cp37-cp37m-macosx_10_9_intel.whl (2.6 MB view details)

Uploaded CPython 3.7m macOS 10.9+ intel

PartSeg-0.10.4-cp36-cp36m-win_amd64.whl (1.8 MB view details)

Uploaded CPython 3.6m Windows x86-64

PartSeg-0.10.4-cp36-cp36m-manylinux2014_x86_64.whl (4.6 MB view details)

Uploaded CPython 3.6m

PartSeg-0.10.4-cp36-cp36m-manylinux2010_x86_64.whl (5.1 MB view details)

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

PartSeg-0.10.4-cp36-cp36m-manylinux1_x86_64.whl (5.1 MB view details)

Uploaded CPython 3.6m

PartSeg-0.10.4-cp36-cp36m-macosx_10_14_intel.whl (2.6 MB view details)

Uploaded CPython 3.6m macOS 10.14+ intel

PartSeg-0.10.4-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-0.10.4.tar.gz.

File metadata

  • Download URL: PartSeg-0.10.4.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-0.10.4.tar.gz
Algorithm Hash digest
SHA256 fd83ff1bdaa7b383fe721157cc94e18e645eee9e253c6ddb970a730fb5ad56fe
MD5 600e1656d72baad6f1ee905fb70f437b
BLAKE2b-256 7458666a359ae2baf8644472789c5169a100ad18d3c3fc0d9272d94821a8438b

See more details on using hashes here.

File details

Details for the file PartSeg-0.10.4-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: PartSeg-0.10.4-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-0.10.4-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 fd1694dad0f7484417bca07bd75f414c52ef47563c439fb69dc62359b4756ef9
MD5 521cc988ead0c95b8f3807ed8dc8ca15
BLAKE2b-256 b31199addffc743ca25b75486a716c2bbf00d7a408bb14f5ee246172c79fb792

See more details on using hashes here.

File details

Details for the file PartSeg-0.10.4-cp38-cp38-manylinux2014_x86_64.whl.

File metadata

  • Download URL: PartSeg-0.10.4-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-0.10.4-cp38-cp38-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f7fa1370d48679ce4a256f43c817cdccdecd577da5e78c25d2e7514dbef320b5
MD5 d0acc1ca0dcb434b6d7cd1056f8feb50
BLAKE2b-256 af947c9048cbc19c62dd69f4125d8c9f97e922b36a971f298f19839e622de461

See more details on using hashes here.

File details

Details for the file PartSeg-0.10.4-cp38-cp38-manylinux2010_x86_64.whl.

File metadata

  • Download URL: PartSeg-0.10.4-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-0.10.4-cp38-cp38-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 e451cbcb9ef5c207974cd2548f185a2c6952636036fa89026f22959cf51006ee
MD5 cda70390854723138d9ca0672a82a21d
BLAKE2b-256 37560b63230b6f8fbaeb5eefb5e975ec6a5410431a57cdbffb350c95a2473592

See more details on using hashes here.

File details

Details for the file PartSeg-0.10.4-cp38-cp38-manylinux1_x86_64.whl.

File metadata

  • Download URL: PartSeg-0.10.4-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-0.10.4-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 2a5a4a706e3ac1e79ffd35a42302ffbc8f09a34c396b785d7a3125677ccb47a6
MD5 8b3061bcd314ff85b44d06ee349d0cf5
BLAKE2b-256 dee44513edf6603b0fdcd7b88742fb0d2ce853814249f645f6cc0fc837347025

See more details on using hashes here.

File details

Details for the file PartSeg-0.10.4-cp38-cp38-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: PartSeg-0.10.4-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-0.10.4-cp38-cp38-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 99b96536a4252a218595f9d7ef14025f13a6e5d18b8896a54b0aeac6a986d184
MD5 c97bdea3d91ea371dd8abe9fdd30bd13
BLAKE2b-256 b4595b791761e0a34e0093968be055b281154e7153165c886825384a98617b0e

See more details on using hashes here.

File details

Details for the file PartSeg-0.10.4-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: PartSeg-0.10.4-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-0.10.4-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 88f3af580ebcd326b3b69154be78643db4f322b95e6d679ddef6094ea3f81192
MD5 74cf7dc810e313f12720d318e739cc0e
BLAKE2b-256 7e5993a4aeb4c424cd7eb43a49cc70d8ecafe9cf10a2dcab44ed177b7860a53b

See more details on using hashes here.

File details

Details for the file PartSeg-0.10.4-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: PartSeg-0.10.4-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-0.10.4-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 15c06b2aee030684362106fd554849a259184cff8e1f40d2d9dec7261c8464a3
MD5 7d92d37cb7a6038f9e2f6ec9f9a399ba
BLAKE2b-256 115f5cc470320d155842debfd02f9684c2d010e9632af535b610182e7cc41363

See more details on using hashes here.

File details

Details for the file PartSeg-0.10.4-cp37-cp37m-manylinux2014_x86_64.whl.

File metadata

  • Download URL: PartSeg-0.10.4-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-0.10.4-cp37-cp37m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9484f3b4d4ea6dee3838b32183ebfabf40bb39a7a15a22e72ebc2555df233286
MD5 e52c24e50ae8c9f3d26f8804f5c8b3ce
BLAKE2b-256 5188b4bbdc73d72897b7977be32c0f697542833e5329f625a4fd17d34b7990c4

See more details on using hashes here.

File details

Details for the file PartSeg-0.10.4-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: PartSeg-0.10.4-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-0.10.4-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 59321889e2c9ce1d3e20823ced516f6cdd4d072835aeb749f93ddb435d97cf6d
MD5 c81dcc4df19d9da35082c028eb276424
BLAKE2b-256 6a682e0bc1ca82d42b75a174bfd813ff3b1f1b7ffb371671a4caa3d9eccfb30a

See more details on using hashes here.

File details

Details for the file PartSeg-0.10.4-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

  • Download URL: PartSeg-0.10.4-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-0.10.4-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 bbe160b2b9c0d56bb095c3ffdcc90066db43a50ebfbd50d7af6c354935ecea04
MD5 e44fa64cdbc1e6e812e06eda33dd8cc4
BLAKE2b-256 aa517f9c57dd558d318bc8577e68bc0e0b9496717dfc0d6b9da8ec6a466103d5

See more details on using hashes here.

File details

Details for the file PartSeg-0.10.4-cp37-cp37m-macosx_10_14_intel.whl.

File metadata

  • Download URL: PartSeg-0.10.4-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-0.10.4-cp37-cp37m-macosx_10_14_intel.whl
Algorithm Hash digest
SHA256 ae434c11ffa803954c82ff7af05dd2ccdbdeb7b5593f0c9cf26b2262f0c7c6af
MD5 e9cd51f4291606d0357e53a3b3d905be
BLAKE2b-256 42c3fbeb62581b007d9bb52bcb9d5c8cbfde2a02701ed1b5aad580ea76dfa790

See more details on using hashes here.

File details

Details for the file PartSeg-0.10.4-cp37-cp37m-macosx_10_9_intel.whl.

File metadata

  • Download URL: PartSeg-0.10.4-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-0.10.4-cp37-cp37m-macosx_10_9_intel.whl
Algorithm Hash digest
SHA256 a30eddb90dbdfa461bc9a9585688fd42ffeead6faf804dad8ef4b1113c193715
MD5 c55dd4f8aaaf77b0128fd80ad80d4fea
BLAKE2b-256 75cff51eeb3a5920c2c17be419808ad1721f632e48e2e6d8f4002cf7499224b0

See more details on using hashes here.

File details

Details for the file PartSeg-0.10.4-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: PartSeg-0.10.4-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-0.10.4-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 1a8ae6d981b671abb6524dfbcfa3713831c4acbfc0f1ad9588a31397f259e563
MD5 466b13bde07623a263d9c5e40fdf3161
BLAKE2b-256 de554b29bd6334c85eb1ed873772d6f03bb13ea06ab7baa3e566680ed13d946a

See more details on using hashes here.

File details

Details for the file PartSeg-0.10.4-cp36-cp36m-manylinux2014_x86_64.whl.

File metadata

  • Download URL: PartSeg-0.10.4-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-0.10.4-cp36-cp36m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 2a6ed173825bbeac702d9fe6255e4afd85f3f4cf7e0f634b2dc6274f1d8c31c2
MD5 3c8b831fc0e879ec8198cf7681e584ec
BLAKE2b-256 a4edb15bfa29b59fec686d200c2573214167476ce4abd61b1446bc6fd5eb6c05

See more details on using hashes here.

File details

Details for the file PartSeg-0.10.4-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: PartSeg-0.10.4-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-0.10.4-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 869eace9a5b99e049bd84f3c7418224562bb478a6bef9b69cf1b9d4e9a34e054
MD5 d1b8ec5791693ce3ddccc7cc0d57c1cc
BLAKE2b-256 9a3f3312058a5cc668e09b7402c4bb077f64b2553b8186d216901578f78c5c93

See more details on using hashes here.

File details

Details for the file PartSeg-0.10.4-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

  • Download URL: PartSeg-0.10.4-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-0.10.4-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 65abebb4b0c9022e9cefb0d828d813cb7e83167c333602af2bd6a5a855a4e743
MD5 8caf4d303ee8da3ac8d7d5e756b8beda
BLAKE2b-256 ccf3304aba99a5ccda0147b69a8f85ede996654bf4d587bbd5bb1dc274743d84

See more details on using hashes here.

File details

Details for the file PartSeg-0.10.4-cp36-cp36m-macosx_10_14_intel.whl.

File metadata

  • Download URL: PartSeg-0.10.4-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-0.10.4-cp36-cp36m-macosx_10_14_intel.whl
Algorithm Hash digest
SHA256 a244594610ba257b4853a8bfdf299dec4a552e07ae8d81106082273accd8bacc
MD5 f01c390ca6c9ae37c68b481b3dc68870
BLAKE2b-256 bad4311d1d4c758262ebcdc1b91fcf9c3da842858837c47e2b869bf161e4a4ef

See more details on using hashes here.

File details

Details for the file PartSeg-0.10.4-cp36-cp36m-macosx_10_9_intel.whl.

File metadata

  • Download URL: PartSeg-0.10.4-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-0.10.4-cp36-cp36m-macosx_10_9_intel.whl
Algorithm Hash digest
SHA256 da7d573aec23259b8649a46a59942f2c6a8a26052795bf84084bec7cdcc48ff4
MD5 5141a05f331adff013c894c38ad5c88c
BLAKE2b-256 8bad3ebb01dfe198014748842c1058e50eaa27c3703228e9c4a5d9436760e4bc

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