napari-xgboost
A plugin for pixel classification using XGBoost, inspired by Digital Sreeni's Youtube video.
Note: This plugin is work-in-progress. Check out the github issues to see what's currently being worked on.
Usage
Load an example image into napari. Add a Labels layer by clicking on this button:
Then, draw a sparse annotation on the image. Try to draw thin lines on background and foreground, e.g. like this:
Then click the menu Layers > Segment > Train Pixel Classifier (XGBoost).
In the dialog, select the original image and the labels layer. Also enter a filename where the model should be saved.
Afterwards, click on Run to explore the result.
Installation
You can install napari-xgboost via pip:
pip install napari-xgboost
To install latest development version :
pip install git+https://github.com/haesleinhuepf/napari-xgboost.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-xgboost" is free and open source software
Issues
If you encounter any problems, please file an issue along with a detailed description.
1 maintainer
Metadata
1 maintainer
Release files for napari-xgboost 0.1.0
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_xgboost-0.1.0.tar.gz | 8.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| napari_xgboost-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 15.6 kB
Release files / napari_xgboost-0.1.0.tar.gz
| Download URL | napari_xgboost-0.1.0.tar.gz |
|---|---|
| Size | 8.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/5.1.1 CPython/3.9.19
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Release files / napari_xgboost-0.1.0-py3-none-any.whl
| Download URL | napari_xgboost-0.1.0-py3-none-any.whl |
|---|---|
| Size | 7.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
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twine/5.1.1 CPython/3.9.19
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