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Drag and drop annotations/results in the Cell Tracking Challenge (CTC) format into napari.

Project description

napari-ctc-io

PyPI tests codecov napari hub

Drag and drop annotations/results in the Cell Tracking Challenge (CTC) format into napari.

Works for TRA, RES, etc. folders, which contain a time sequence of segmentations in tiff format, and a corresponding tracklet file *.txt.

https://github.com/bentaculum/napari-ctc-io/assets/8866751/197c9ea2-4115-4829-851a-4b77eb843bf2

Installation

You can install napari-ctc-io via pip:

pip install napari-ctc-io

To install latest development version :

pip install git+https://github.com/bentaculum/napari-ctc-io.git

Contributing

Contributions are very welcome. Tests can be run with tox.

License

Distributed under the terms of the BSD-3 license, napari-ctc-io is free and open source software.

Issues

If you encounter any problems, please file an issue along with a detailed description.

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