Processing of lung image data from electrical impedance tomography.
Project description
Badges
How to use eitprocessing
Processing of lung image data from electrical impedance tomography
The project setup is documented in project_setup.md. Feel free to remove this document (and/or the link to this document) if you don't need it.
Installation
Install eitprocessing as follows:
- Create fresh environment
- Make sure you are in your base environment:
conda activate
- Create a new environment:
conda create -n <envname> python=3.10
- Activate new environment:
conda activate <envname>
- Make sure you are in your base environment:
- Clone and install
- Clone the repository:
git clone git@github.com:EIT-ALIVE/eitprocessing.git
- Install:
- For basic use:
pip install -e .
- For full developer options (testing, etc):
pip install -e .[dev]
- For basic use:
- Clone the repository:
Documentation
We have custom documentation on a dedicated page here
Contributing
If you want to contribute to the development of eitprocessing, have a look at the contribution guidelines and the developer documentation.
Credits
This package was created with Cookiecutter and the NLeSC/python-template.
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
Built Distribution
File details
Details for the file eitprocessing-1.0.1.tar.gz
.
File metadata
- Download URL: eitprocessing-1.0.1.tar.gz
- Upload date:
- Size: 42.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.9.19
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9dc7bf562b19cdd41023596e635aff95af5f2bbfc7edb54d46c1be7bda158f6a |
|
MD5 | f4c9a02e87d086d298c62d59adf5a007 |
|
BLAKE2b-256 | 069b2e92a6588b2ba06c606695029e05de74fd279b9392224dc430aa80f801d2 |
File details
Details for the file eitprocessing-1.0.1-py3-none-any.whl
.
File metadata
- Download URL: eitprocessing-1.0.1-py3-none-any.whl
- Upload date:
- Size: 43.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.9.19
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | a128f17e2e5688093d8b25a24837ef4f52a31ebc587b48141a5a2514f923e6fb |
|
MD5 | 050294096191358fccf7ca4cf191346a |
|
BLAKE2b-256 | 65c0f565b7aafcf0d8468d1ced2cbf9004d1c0d182d469053a1473b75c11f84d |