Detect overlapping Pt particles using Yolo
Project description
napari-yolopt
Detect overlapping Pt particles using Yolo
This napari plugin was generated with copier using the napari-plugin-template (None).
Installation
You can install napari-yolopt via pip:
pip install napari-yolopt
If napari is not already installed, you can install napari-yolopt with napari and Qt via:
pip install "napari-yolopt[all]"
To install latest development version :
pip install git+https://github.com/jules-vanaret/napari-yolopt.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-yolopt" is free and open source software
Issues
If you encounter any problems, please file an issue along with a detailed description.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file napari_yolopt-0.3.1.dev0.tar.gz.
File metadata
- Download URL: napari_yolopt-0.3.1.dev0.tar.gz
- Upload date:
- Size: 28.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6dbe668b8672b32d25d89b57851c92f8a2e9fea76224b67e7889ebb764043c25
|
|
| MD5 |
dfe723f13b3552c77fe99bd234e2819a
|
|
| BLAKE2b-256 |
17a33f723f3c632d487939738a5f2062ffa45822744a2c162b9e6793099bb44b
|
File details
Details for the file napari_yolopt-0.3.1.dev0-py3-none-any.whl.
File metadata
- Download URL: napari_yolopt-0.3.1.dev0-py3-none-any.whl
- Upload date:
- Size: 23.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
11226cd699876d2d9eb7ef59a21765bb55a20d64c094f0068089d13ea82ce085
|
|
| MD5 |
d190245a39325bdeee984010857f011d
|
|
| BLAKE2b-256 |
d2dc3a1ec34bb85420a5c693a58bf2f69b84f9c7513f661bd5ad127a4f8e816f
|
