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Registration Operations

Welcome to the Registration Operations's Github repository!

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Description

This package contains helpful functions enabling an easier use of registration functions.

Installing & importing

Online install

The BinaMa package is available through pip install under the name pilab-regis. Note that the online version might not always be up to date with the latest changes.

pip install pilab-regis

To upgrade the current version : pip install pilab-regis --upgrade.

To install a specific version of the package use

pip install pilab-regis==0.0.1

All available versions are listed in PyPI. The package names follow the rules of semantic versioning.

Local install

If you want to download the latest version directly from GitHub, you can clone this repository

git clone https://github.com/PiLAB-Medical-Imaging/registration

For a more frequent use of the library, you may wish to permanently add the package to your current Python environment. Navigate to the folder where this repository was cloned or downloaded (the folder containing the setup.py file) and install the package as follows

cd registration
pip install .

If you have an existing install, and want to ensure package and dependencies are updated use --upgrade

pip install --upgrade .

Importing

At the top of your Python scripts, import the library as

import regis.core as rg

Checking current version installed

The version of the TIME package installed can be displayed by typing the following command in your python environment

regis.__version__

Uninstalling

pip uninstall pilab-regis

Download files

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

Source Distribution

pilab_regis-0.0.9.tar.gz (4.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pilab_regis-0.0.9-py3-none-any.whl (4.6 kB view details)

Uploaded Python 3

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  • Upload date:
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  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.11

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