semvec/pypi-packages huggingface dataset:
smart-label-plotter 0.0.2
A patch for Ultralytics YOLO to optimize label layout using labellayout.
Requires Python: >=3.8

## ultralytics 画图补丁
这是一个用于 Ultralytics YOLO 的补丁工具，用于解决密集目标检测时的标签重叠问题。

## 安装
```shell
pip install smart-label-plotter
```

### 如何使用
```python
from smart_label_plotter import SmartLabelPlotter
from ultralytics import YOLO

# 1. 初始化并注册补丁
plotter = SmartLabelPlotter()
plotter.register()

# 2. 正常运行 YOLO 推理
model = YOLO("yolov8n.pt")
results = model("path/to/image.jpg")

# 3. 绘制结果 (补丁会自动生效)
res_plotted = results[0].plot()
```


### 效果图
![效果图](result.jpg)
pytest-autoprofile 0.19.0
`line_profiler.autoprofile`-ing your `pytest` test suite
Requires Python: >=3.8
Keywords: testing, profiling, pytest, line_profiler

<!-- Badges -->

<a href='https://gitlab.com/TTsangSC/pytest-autoprofile/-/releases'
   alt='Badge: release version: "Latest Release" | <VERSION>'>
<img src='https://gitlab.com/TTsangSC/pytest-autoprofile/-/badges/release.svg'>
</a>
<a href='https://gitlab.com/TTsangSC/pytest-autoprofile/-/pipelines'
   alt='Badge: pipeline status: "pipeline" | <STATUS>'>
<img src='https://gitlab.com/TTsangSC/pytest-autoprofile/badges/master/pipeline.svg?ignore_skipped=true'>
</a>

<!-- Logo -->

![Repo mascot: a snake wearing a watch, looking at test results][gitlab-repo-mascot]

<!-- Blurb -->

Overview
--------

This plugin package brings the full power of
[`line_profiler.autoprofile`][line-profiler-autoprofile-docs] to your
[`pytest`][pytest-docs] test suite –
and then more.

Features
--------

- Automatic line profiling of normal tests and
  [doctests][gitlab-docs-doctest-profiling]
- [Import-time rewriting][gitlab-docs-rewriting] of arbitrary
  (test, codebase, external, standard-lib)
  Python modules
- Aggregation of in-process and
  [subprocess line-profiling][gitlab-docs-subprocess-profiling] results

Changelog
---------

Refer to the [Release notes][gitlab-repo-releases].

<!-- Link -->

Full documentation
------------------

Refer to the project repository:
[GitLab:TTsangSC/pytest-autoprofile][gitlab-repo]

[gitlab-repo]: https://gitlab.com/TTsangSC/pytest-autoprofile
[gitlab-repo-mascot]: https://gitlab.com/TTsangSC/pytest-autoprofile/-/raw/master/assets/mascot.svg
[gitlab-repo-releases]: https://gitlab.com/TTsangSC/pytest-autoprofile/-/releases/
[gitlab-docs-doctest-profiling]: https://gitlab.com/TTsangSC/pytest-autoprofile#doctest-profiling
[gitlab-docs-rewriting]: https://gitlab.com/TTsangSC/pytest-autoprofile#module-rewriting
[gitlab-docs-subprocess-profiling]: https://gitlab.com/TTsangSC/pytest-autoprofile#subprocess-profiling
[line-profiler-autoprofile-docs]: https://kernprof.readthedocs.io/en/latest/auto/line_profiler.autoprofile.html
[pytest-docs]: https://docs.pytest.org/en/stable/index.html
niquery 25.0.0rc2
OpenNeuro dataset query and characterization tool
Requires Python: >=3.10
Keywords: BIDS, OpenNeuro, data sharing, neuroimaging, web querying

*NiQuery*
=========

**Neuroimaging dataset query, analysis, and aggregation tool for
research hypothesis testing**.

*NiQuery* is a principled tool to query open neuroimaging datasets,
extract relevant information, and create new DataLad datasets for
research hypothesis testing.

.. image:: https://img.shields.io/badge/License-Apache_2.0-blue.svg
   :target: https://github.com/nipreps/niquery/blob/main/LICENSE
   :alt: License

.. image:: https://img.shields.io/pypi/v/niquery.svg
   :target: https://pypi.python.org/pypi/niquery/
   :alt: Latest Version

.. image:: https://github.com/nipreps/niquery/actions/workflows/test.yml/badge.svg
   :target: https://github.com/nipreps/niquery/actions/workflows/test.yml
   :alt: Testing

.. image:: https://github.com/nipreps/niquery/actions/workflows/pages/pages-build-deployment/badge.svg
   :target: https://www.nipreps.org/niquery/main/index.html
   :alt: Documentation

.. image:: https://github.com/nipreps/niquery/actions/workflows/pythonpackage.yml/badge.svg
   :target: https://github.com/nipreps/niquery/actions/workflows/pythonpackage.yml
   :alt: Python package

.. image:: https://github.com/nipreps/niquery/actions/workflows/contrib.yml/badge.svg
   :target: https://github.com/nipreps/niquery/actions/workflows/contrib.yml
   :alt: Contribution checks

.. image:: https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json
   :target: https://github.com/astral-sh/ruff
   :alt: Code format