napari-mat-images
A plugin to load images stored in MATLAB .mat files with napari
Features¶
This plugin loads image variables stored in MATLAB
.mat
files into napari.
It loads any variable that looks like an image.
Presently, that includes any array with more than two dimensions with size greater than 20 pixels (determined by shape_is_image()
).
If loading a variable with 3 or more dimensions, the plugin assumes that it is a stack of images, and the dimension with greatest size is the axis of the stack.
Loading Large Files¶
If loading a large .mat
file saved in HDF5
/v7.3
format, chunks of the images are loaded as needed, resulting in fast initial load, but potentially slower scrolling.
Slices of the image stacks are randomly sampled to determine min/max contrast values.
Requirements¶
This plugin relies on scipy
to load small .mat
files and h5py
(with dask
) to load larger HDF5
/v7.3
.mat
files.
It implicitly requires napari
for use.
Installation¶
napari-mat-images
requires napari to be installed, although it is not listed as a requirement for installation.
This plugin relies on plugin functionality found in napari
version > 0.2.12
. This can be installed via pip from PyPI:
$ pip install napari>0.2.12
You can install napari-mat-images
via pip from PyPI:
$ pip install napari-mat-images
Usage¶
Once installed, the plugin will be used whenever trying to load a .mat
file.
This can be done from the napari
GUI or commandline:
$ napari my_file.mat
Contributing¶
Contributions are very welcome. Tests can be run with pytest, 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, napari-mat-images
is free and open source software
Issues¶
If you encounter any problems, please file an issue along with a detailed description.
This napari plugin was generated with Cookiecutter along with napari's cookiecutter-napari-plugin template.
Supported data:
- Information not submitted
Plugin type:
- Information not submitted
GitHub activity:
- Stars: 1
- Forks: 1
- Issues + PRs: 2