StarDist Napari Plugin
This project provides the napari plugin for StarDist, a deep learning based 2D and 3D object detection method with star-convex shapes. The plugin allows to apply pretrained and custom trained models from within napari.
Installation & Usage
Install the plugin with pip install stardist-napari or from within napari via Plugins > Install/Uninstall Package(s)…. If you want GPU-accelerated prediction, please read the more detailed installation instructions for StarDist.
You can activate the plugin in napari via Plugins > StarDist: StarDist. Example images for testing are provided via File > Open Sample > StarDist.
For a more detailed demonstration of the plugin, please watch this short video.
There's no dedicated documentation yet, but the most important parameters are identical to those of our StarDist ImageJ/Fiji plugin, which are documented here.
If you use this plugin for your research, please cite us.
Troubleshooting & Support
- The image.sc forum is the best place to start getting help and support. Make sure to use the tag
stardist, since we are monitoring all questions with this tag. - For general questions about StarDist, it's worth taking a look at the frequently asked questions (FAQ).
- If you have technical questions or found a bug, feel free to open an issue.
2 maintainers
Metadata
2 maintainers
Release files for stardist-napari 2021.6.26
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| stardist-napari-2021.6.26.tar.gz | 30.9 kB | Without provenance | Details for stardist-napari-2021.6.26.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| stardist_napari-2021.6.26-py3-none-any.whl | Python 3 | none | any | Details for stardist_napari-2021.6.26-py3-none-any.whl |
Total release size: 58.9 kB
Release files / stardist-napari-2021.6.26.tar.gz
| Download URL | stardist-napari-2021.6.26.tar.gz |
|---|---|
| Size | 30.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
1eba5052ebce1c6a27087049bc05d8c6e3a072cb89f794ba53869f64b0f5ed7f
|
|
BLAKE2b-256 checksum How to use checksums |
435b0eb82d9fa842dd1808de0af4bc1f7f156490a1ba3892995755e4b3ae990b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.6.1 requests/2.24.0 setuptools/49.6.0.post20200814 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.7.7
|
Release files / stardist_napari-2021.6.26-py3-none-any.whl
| Download URL | stardist_napari-2021.6.26-py3-none-any.whl |
|---|---|
| Size | 28.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
3ea5b5c6fc5984d63897a8b146275e19f0961642c621f23acf150fb206df9c61
|
|
BLAKE2b-256 checksum How to use checksums |
b56db5fe4fb90e1a4bbe83c7fd9d8e5c123481c6a4e40ca8d0843f5a28fc9558
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.6.1 requests/2.24.0 setuptools/49.6.0.post20200814 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.7.7
|
Security for stardist-napari 2021.6.26
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
