Plugin exploring different options for reading and writing compressed and portable labels layers in napari.
Project description
napari-compressed-labels-io
Description
This napari plugin provides readers and writers for labels and their corresponding image layers into zarr format for compression and portability. Each reader/writer pair supports a round trip of saving and loading image and labels layers.
Writers
Two writers are provided by this plugin, each with its own reader.
labels_to_zarr
This writer is an alternative to napari's default label writer and will write an entire labels layer, regardless of its dimensions, into a single zarr file. This writer provides the best compression option and its associated reader get_zarr_labels
will read the layer back into napari.
This writer will be called when the user tries to save a selected labels layer into a path ending with .zarr
label_image_pairs_to_zarr
This writer will save 3-dimensional labels and image layers from the viewer into individual zarrs for portability and convenience. For example, given one labels and one image layer of the shape (10, 200, 200) saved to my_stacks.zarr, 10 subdirectories will be created, each with two zarrs inside of shape (200, 200) corresponding to the labels and image layer.
This writer allows users to load stacks of associated images, label them, and then quickly save these stacks out into individual slices for easy loading, viewing and interaction. Its associated reader supports the loading into napari of the whole stack, all layers at one slice of the stack, and an individual layer of a given slice of the stack.
The writer currently supports only 3D layers, with the exception of RGB images of the form (z, y, x, 3), which are also supported.
Readers
Two readers are provided by this plugin for loading the formats saved by each writer. These are detailed below.
get_zarr_labels
This reader will open any zarr file with a .zarray at the top level in path
as a labels layer. This is to be used in conjunction with labels_to_zarr
.
get_label_image_stack
This reader will open any zarr containing a .zmeta
file as layers into napari. Depending on what is being opened, the reader will either load a full stack of labels and images, one slice of a stack of images and labels or an individual layer within a slice. This is to be used in conjunction with label_image_pairs_to_zarr
.
.zmeta
This metadata file contains information about the layer types in the stack and in each individual slice, as well as the number of image/label slices. This allows the reader plugin to load the correct layer types with appropriate names both at a stack level and at the individual slice level.
An example .zmeta specification
{
"meta": {
"stack": 7 # number of slices in the entire stack (1 for an individual slice, 0 for a layer within a slice)
},
"data": {
"image" : [ # all image layers must be listed here
{
"name": "leaves_example_data",
"shape": [790, 790, 3],
"dtype": "uint8",
"rgb": true # where rgb is false the image will be loaded as greyscale (colormap support has not yet been implemented)
}
],
"labels" : [
{
"name": "oak",
"shape": [790, 790],
"dtype": "int64"
},
{
"name": "bg",
"shape": [790, 790],
"dtype": "int64"
}
]
}
}
This napari plugin was generated with Cookiecutter using with @napari's cookiecutter-napari-plugin template.
Installation
You can install napari-compressed-labels-io
via pip:
pip install napari-compressed-labels-io
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 MIT license, "napari-compressed-labels-io" 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
File details
Details for the file napari-compressed-labels-io-0.0.2.tar.gz
.
File metadata
- Download URL: napari-compressed-labels-io-0.0.2.tar.gz
- Upload date:
- Size: 11.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.4.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.8.1
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | be1d70b163a1928090d345190709ca9a2e4a3cdb33fa5d48625988ee411e61bb |
|
MD5 | a4780ba5dce339fc0463211022a748a6 |
|
BLAKE2b-256 | 747f3d606c6d30e5bed9aa8b5c4414521e580856f492803af8215fd884205c92 |
Provenance
File details
Details for the file napari_compressed_labels_io-0.0.2-py3-none-any.whl
.
File metadata
- Download URL: napari_compressed_labels_io-0.0.2-py3-none-any.whl
- Upload date:
- Size: 10.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.4.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.8.1
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 132476d8c9e537752c91f64bb28ad546c7ad5b7f5d90382e7602f8614ae34ab8 |
|
MD5 | 820d3d75fb70612b52d4173f12472557 |
|
BLAKE2b-256 | 0310752f87feb2524caa8e24fa754d72a616d0527d7167b01d7e3236562db61f |