Skip to main content

Numerical IMage Analyses.

Project description

NImA

PyPI CI codecov RtD

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

  • Version: “0.7.0”

Features

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

Installation

You can get the library directly from PyPI using pip:

pip install nima

Alternatively, you can use pipx to install it in an isolated environment:

pipx install nima

To enable auto completion for the nima command, follow these steps:

  1. Generate the completion script by running the following command:

    _CLOP_COMPLETE=bash_source nima > ~/.local/bin/nima-complete.bash
    
  2. Source the generated completion script to enable auto completion:

    source ~/.local/bin/nima-complete.bash
    

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

nox --session=pre-commit -- install
and activate poetry


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-0.7.0.tar.gz (7.6 MB view details)

Uploaded Source

Built Distribution

nima-0.7.0-py3-none-any.whl (19.5 kB view details)

Uploaded Python 3

File details

Details for the file nima-0.7.0.tar.gz.

File metadata

  • Download URL: nima-0.7.0.tar.gz
  • Upload date:
  • Size: 7.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-httpx/0.24.1

File hashes

Hashes for nima-0.7.0.tar.gz
Algorithm Hash digest
SHA256 a8bb805ebaa33bdc513df123dfde3be820bed65f0af4a5d0e1d56fd9b0ae9f67
MD5 6ad2cbc6c4fcc18f3bc80325df0a4510
BLAKE2b-256 dc7a474fb1121ba7cdd2d36392d78c47dd38e54ebc46cc6071a0b0d26cce62ba

See more details on using hashes here.

File details

Details for the file nima-0.7.0-py3-none-any.whl.

File metadata

  • Download URL: nima-0.7.0-py3-none-any.whl
  • Upload date:
  • Size: 19.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-httpx/0.24.1

File hashes

Hashes for nima-0.7.0-py3-none-any.whl
Algorithm Hash digest
SHA256 4ea32c15c2b6a94a78b6a654c866a5a128473096d4baeb8de0913a7cd4561f33
MD5 6896098d90ad0443b10cef6d5fa54dd5
BLAKE2b-256 86756ffc5b5d2660f1d0d04d648aae33740bd93f53d04e3cb494fa6c0f5f8332

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