morphometrics
A plugin for quantifying shape and neighborhoods from images.
A plugin for quantifying shape and neighborhoods from images.
This napari plugin was generated with Cookiecutter using @napari's cookiecutter-napari-plugin template.
Installation¶
conda environment file¶
You can install morphometrics
via our conda environment file. To do so, first install anaconda or miniconda on
your computer. Then, download the environment.yml file
(right click the link and "Save as..."). In your terminal,
navigate to the directory you downloaded the environment.yml
file to:
cd <path/to/downloaded/environment.yml>
Then create the morphometrics
environment using
conda env create -f environment.yml
Once the environment has been created, you can activate it and use morphometrics
as described below.
conda activate morphometrics
If you are on Mac OS or Linux install the following:
Mac:
conda install -c conda-forge ocl_icd_wrapper_apple
Linux:
conda install -c conda-forge ocl-icd-system
Development installation¶
To install latest development version :
pip install git+https://github.com/kevinyamauchi/morphometrics.git
Example applications¶
napari plugin for measuring properties of segmented objects (regionprops) | |
Contributing¶
Contributions are very welcome. Tests can be run with tox, please ensure the coverage at least stays the same before you submit a pull request.
License¶
Distributed under the terms of the BSD-3 license, "morphometrics" is free and open source software
Issues¶
If you encounter any problems, please file an issue along with a detailed description.
Supported data:
- Information not submitted
Plugin type:
GitHub activity:
- Stars: 2
- Forks: 0
- Issues + PRs: 0
GitHub activity:
- Stars: 2
- Forks: 0
- Issues + PRs: 0
Requirements:
- glasbey
- imageio (!=2.11.0,!=2.22.1,>=2.5.0)
- leidenalg
- napari-skimage-regionprops
- napari
- numba
- numpy
- qtpy
- pandas
- pooch
- pyclesperanto-prototype (>=0.8.0)
- pymeshfix
- pyqtgraph
- scanpy
- scikit-image (>0.19.0)
- scikit-learn (>=0.24.2)
- tqdm
- trimesh[easy]