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Preparations for pypi
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rhoitink committed Nov 7, 2023
1 parent 891ee1b commit cc72f82
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17 changes: 17 additions & 0 deletions .github/workflows/auto_release.yml
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name: "tagged-release"

on:
push:
tags:
- "v*"

jobs:
tagged-release:
name: "Tagged Release"
runs-on: "ubuntu-latest"

steps:
- uses: "marvinpinto/action-automatic-releases@latest"
with:
repo_token: "${{ secrets.GITHUB_TOKEN }}"
prerelease: false
4 changes: 1 addition & 3 deletions README.md
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Expand Up @@ -4,7 +4,6 @@
[![PyPI](https://img.shields.io/pypi/v/napari-trackpy.svg?color=green)](https://pypi.org/project/napari-trackpy)
[![Python Version](https://img.shields.io/pypi/pyversions/napari-trackpy.svg?color=green)](https://python.org)
[![tests](https://github.com/rhoitink/napari-trackpy/workflows/tests/badge.svg)](https://github.com/rhoitink/napari-trackpy/actions)
[![codecov](https://codecov.io/gh/rhoitink/napari-trackpy/branch/main/graph/badge.svg)](https://codecov.io/gh/rhoitink/napari-trackpy)
[![napari hub](https://img.shields.io/endpoint?url=https://api.napari-hub.org/shields/napari-trackpy)](https://napari-hub.org/plugins/napari-trackpy)

Plugin to do [trackpy] particle tracking on 3D microscopy data within [napari]. Currently only tracking of XYZ data is implemented.
Expand All @@ -28,8 +27,7 @@ To install latest development version :

## 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.
Contributions are very welcome. Tests can be run with [tox].

## License

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1 change: 1 addition & 0 deletions setup.cfg
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Expand Up @@ -36,6 +36,7 @@ install_requires =
qtpy
napari
napari-aicsimageio
readlif
trackpy
matplotlib

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1 change: 0 additions & 1 deletion src/napari_trackpy/_widget.py
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Expand Up @@ -101,7 +101,6 @@ def do_particle_tracking(self) -> None:
"""Thread that performs the particle tracking"""
img = self.img_layer.metadata["aicsimage"]

# tracking code implementation based on `sp8_xyz_tracking_lif.py` by Maarten Bransen
stack = np.squeeze(
self.img_layer.data_raw
) # squeeze out dimensions with length 1
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