A regionprops table widget plugin for napari
Project description
napari-skimage-regionprops
A napari plugin for measuring properties of labeled objects based on scikit-image
Features
The user can select categories of features for feature extraction in the user interface. These categories contain measurements from the scikit-image regionprops list of measurements library:
-
size:
-
area
-
bbox_area
-
convex_area
-
equivalent_diameter
-
-
intensity:
-
max_intensity
-
mean_intensity
-
min_intensity
-
standard_deviation_intensity (
extra_properties
implementation using numpy)
-
-
perimeter:
-
perimeter
-
perimeter_crofton
-
-
shape
-
major_axis_length
-
minor_axis_length
-
orientation
-
solidity
-
eccentricity
-
extent
-
feret_diameter_max
-
local_centroid
-
-
position:
-
centroid
-
bbox
-
weighted_centroid
-
-
moments:
-
moments
-
moments_central
-
moments_hu
-
moments_normalized
-
This napari plugin was generated with Cookiecutter using with @napari's cookiecutter-napari-plugin template.
Installation
You can install napari-skimage-regionprops
via pip:
pip install napari-skimage-regionprops
Or if you plan to develop it:
git clone https://github.com/haesleinhuepf/napari-skimage-regionprops
cd napari-skimage-regionprops
pip install -e .
If there is an error message suggesting that git is not installed, run conda install git
.
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,
"napari-skimage-regionprops" is free and open source software
Issues
If you encounter any problems, please create a thread on image.sc along with a detailed description and tag @haesleinhuepf.
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
Hashes for napari-skimage-regionprops-0.1.7.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 50af6d7fb6d27ec8d958caafa4a6bc942e5eae88433ef02f5e86af4d3aac1d6b |
|
MD5 | 33f8e88ad7d3224ed9d75ded0edf7b8c |
|
BLAKE2b-256 | 3538f06c1468dfb617fb6a10a180a319022bfb1705fddbde6cd4f16d8d45d4c7 |
Hashes for napari_skimage_regionprops-0.1.7-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | b2acc330af18cdf54ab203c33bf0a01b819a78a40f6da724a9fded85ab4f3f8c |
|
MD5 | c72e2427fc079ed6cd405acc40215191 |
|
BLAKE2b-256 | ad91bfee48d0c7f20a50a345c35027b3e92e689b3398abe3afa59d16c27c18e2 |