napari-nlm
GPU accelerated non local means (NLM) denoising plugin for napari (WIP)
- currently only supports single-channel 2D or 3D images
- requires a OpenCL capable GPU
Installation
You can install napari-nlm via [pip]:
pip install napari-nlm
Usage
- Open example image
Open Sample > napari-nlm: noisy bricks - Adjust parameters
sigma: denoising strength (the larger sigma, the greater the smoothing)patch_radius: size of local patches, 2 or 3 is a good defaultsearch_radius: size of search area around each pixel to find similar patches, 7-11 is a good default
- Denoise by pressing
run
License
Distributed under the terms of the [BSD-3] license, "napari-nlm" is free and open source software
Metadata
Release files for napari-nlm 0.0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| napari-nlm-0.0.4.tar.gz | 5.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| napari_nlm-0.0.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.9 kB
Release files / napari-nlm-0.0.4.tar.gz
| Download URL | napari-nlm-0.0.4.tar.gz |
|---|---|
| Size | 5.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/4.0.1 CPython/3.9.12
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Release files / napari_nlm-0.0.4-py3-none-any.whl
| Download URL | napari_nlm-0.0.4-py3-none-any.whl |
|---|---|
| Size | 5.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/4.0.1 CPython/3.9.12
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