Skip to main content

Multiclass Cell Segmentation

Project description

cellseg: Multiclass Cell Segmentation

PyPI version Stage Test Install Travis Build PyPI license Documentation Status Total Downloads Monthly Downloads Weekly Downloads Maintenance GitHub last commit GitHub issues GitHub issues-closed

Introduction

cellseg is a PyTorch (torch) based deep learning package aimed at multiclass cell segmentation.

Installation

pip install cellseg 

Or if you want to build from source

git clone git@github.com:Nelson-Gon/cellseg.git
cd cellseg
python setup.py install 

Development stage

  • Read Tiff Images

  • Read Non Tiff Images

  • Write Data Transformers and Loaders

  • Write functional model

  • Modify model weights/layers

Usage

# imports data, utils, model 
from cellseg import *

Project details


Download files

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

Source Distribution

cellseg-0.0.0.tar.gz (2.1 kB view details)

Uploaded Source

File details

Details for the file cellseg-0.0.0.tar.gz.

File metadata

  • Download URL: cellseg-0.0.0.tar.gz
  • Upload date:
  • Size: 2.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.25.1 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.55.0 CPython/3.8.6

File hashes

Hashes for cellseg-0.0.0.tar.gz
Algorithm Hash digest
SHA256 06ff23a0c2ec4c9a5a290cd78983dc2e5d8d714b8fedebeb697487b148f101c3
MD5 55ca805f2b062fe91345e154bb371988
BLAKE2b-256 c3146e5a686545143cd187647284e5fba31136a73805e97c2cd8094145883846

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