N-dimensional tiling and merging support for napari
Project description
napari-tiler
N-dimensional tiling and merging support for napari
This plugin allows the user to split an image into a stack of tiles and subsequently merge the tiles to reconstruct the orignal image. See Tiler for more details.
This napari plugin was generated with Cookiecutter using @napari's cookiecutter-napari-plugin template.
Installation
Option 1 (recommended)
You can install napari-tiler
from the napari plugin manager. Go to Plugins -> Install/Uninstall Package(s)
, then search for napari-tiler
. Click Install
.
Option 2
You can also install napari-tiler
via pip:
pip install napari-tiler
To install latest development version:
pip install git+https://github.com/tdmorello/napari-tiler.git
Quick Start
- Open a file in napari. The file may have any number of dimensions (e.g. z-stack, time series, ...)
- Start the plugin (
Plugins -> napari-tiler: make_tiles
) - Select the input layer from the dropdown box
- Select parameters for tiling
- Click
Run
Contributing
This project uses Poetry for dependency management. To set up the development environment, it is recommended to use:
conda env create -f environment.yaml
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-tiler" is free and open source software
Issues
If you encounter any problems, please file an issue along with a detailed description.
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_tiler-0.0.6-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3d7ffc78ac005650935f441bc810ee9e6a2292f2dfcd0467b8894734177535f6 |
|
MD5 | 9d3918907beb722d912269412a7f5488 |
|
BLAKE2b-256 | 0765f506f211b8d062b29e5b466c85260ca25a11f11adb657527ef634a0fe23d |