Simple alignment and transformation between coordinate frames
Project description
Alitra
WIP Library for ALIgnment and TRAnsformation between fixed coordinate frames. The transform is described by a translation and a homogeneous rotation.
Developed for transforming between the fixed local coordinate-frame and the asset-fixed coordinate-frame.
Installation
Installation from pip
pip install alitra
import alitra
help(alitra)
Installation from source
git clone https://github.com/equinor/alitra
cd alitra
pip install .[dev]
You can test whether installation was successfull with pytest
pytest .
Local development
pip install -e /path/to/package
This will install package in editable mode. Convenient for local development
Contributing
We welcome all kinds of contributions, including code, bug reports, issues, feature requests, and documentation. The preferred way of submitting a contribution is to either make an issue on GitHub or by forking the project on GitHub and making a pull requests.
How to use
The tests in this repository can be used as examples of how to use the different models and functions. The test_example.py is a good place to start.
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 alitra-1.1.3.tar.gz
.
File metadata
- Download URL: alitra-1.1.3.tar.gz
- Upload date:
- Size: 12.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.12.2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 01f26e6ddb875a088c62f2c1b022f70bb87abffffe7a0c994e8aa2de0e3967af |
|
MD5 | f234ba7f5cd765afdb677f43a52002ac |
|
BLAKE2b-256 | 825a6c1ac325442e4cc70373951a07c98a4863278f253d3c033d5286fb5f67ba |
File details
Details for the file alitra-1.1.3-py3-none-any.whl
.
File metadata
- Download URL: alitra-1.1.3-py3-none-any.whl
- Upload date:
- Size: 11.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.12.2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | a7d2bec6b5227f068acd193fed657bb28c291c75d119fe3e439c529388c51c9b |
|
MD5 | 305a3e4850299a8f766a9b70f13dd0c2 |
|
BLAKE2b-256 | d9a68469ffab6c450ae1285fb6530daf852a4d8a3b44b3922bf7c96659859145 |