Skip to main content

Numerical IMage Analyses.

Project description

PyPI Python Version image image

A library and a cli to help image analyses based on scipy.ndimage and scikit-image.

Features

  • easy dark and flat correction
  • automatic cell segmentation
  • easy ratio analyses

Installation

:

pyenv virtualenv 3.10.4 nima-0.5.4
pyenv activate
poetry install
pip install .

Optionally:

python -m ipykernel install --user --name="nima0.3.1"

Usage

To use nima in a project:

from nima import nima

See documentation for the nima command line.

Description

A longer description of your project goes here...

Note

pyenv activate nima-... poetry install pre-commit install before next first commit: pre-commit run --all-files

pyenv activate nima-0.2 poetry install pip install .

so it is not installed in development mode and this version will persist to updates.

todo

  • restore sane complexity value (< 21).

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

nima-0.5.5.tar.gz (17.8 kB view details)

Uploaded Source

Built Distribution

nima-0.5.5-py3-none-any.whl (18.5 kB view details)

Uploaded Python 3

File details

Details for the file nima-0.5.5.tar.gz.

File metadata

  • Download URL: nima-0.5.5.tar.gz
  • Upload date:
  • Size: 17.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for nima-0.5.5.tar.gz
Algorithm Hash digest
SHA256 fe10d435d89f60b4f6f0b999f3089335f9986889c35add602c69cd9f9e724103
MD5 12d49698eefb7b7462b1aba6534e72cf
BLAKE2b-256 294eb909a8c58fdb609901c56dfa25529a319c1e72eed210ef4785858430f8d2

See more details on using hashes here.

File details

Details for the file nima-0.5.5-py3-none-any.whl.

File metadata

  • Download URL: nima-0.5.5-py3-none-any.whl
  • Upload date:
  • Size: 18.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for nima-0.5.5-py3-none-any.whl
Algorithm Hash digest
SHA256 7a817dd042f0ed543e20d07bd432e435b71003765edbe6ccc309c65f974721f6
MD5 c57b1b263b3f5837f8c5ac59eb2524b0
BLAKE2b-256 82e682f9e6fbb147a1b7534f86fef7d15a3e441e38c0b99561b2fa72937988fa

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