semvec/pypi-packages huggingface dataset:
fusionx1.2 0.0.1
fusionx1.2
Keywords: python,video,stream,video stream,camera stream,sockets


    This is a detailed description of your package.

    :Author: Your Name
    :Email: your.email@example.com

    **Features:**

    - Feature 1
    - Feature 2

    **Usage:**

    ```python
    import your_package
    your_package.do_something()
    ```
tendril-utils-media 0.1.4
Media File Parsers and Utilities for Tendril
Requires Python: >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*
Keywords: tendril



.. image:: https://img.shields.io/pypi/v/tendril-utils-media.svg?logo=pypi
    :target: https://pypi.org/project/tendril-utils-media

.. image:: https://img.shields.io/pypi/pyversions/tendril-utils-media.svg?logo=pypi
    :target: https://pypi.org/project/tendril-utils-media

.. image:: https://img.shields.io/travis/tendril-framework/tendril-utils-media.svg?logo=travis
    :target: https://travis-ci.org/tendril-framework/tendril-utils-media

.. image:: https://img.shields.io/coveralls/github/tendril-framework/tendril-utils-media.svg?logo=coveralls
    :target: https://coveralls.io/github/tendril-framework/tendril-utils-media

.. image:: https://img.shields.io/codacy/grade/363acc44e8c240dc9db79935860191b4?logo=codacy
    :target: https://www.codacy.com/app/chintal/tendril-utils-media

.. image:: https://img.shields.io/requires/github/tendril-framework/tendril-utils-media.svg
    :target: https://requires.io/github/tendril-framework/tendril-utils-media/requirements

.. image:: https://img.shields.io/pypi/l/tendril-utils-media.svg
    :target: https://www.gnu.org/licenses/agpl-3.0.en.html



.. inclusion-marker-do-not-remove

Introduction
------------

TODO Some brief introduction


Package Information
-------------------

The latest version of the documentation, including installation, usage, and
API/developer notes can be found at
`ReadTheDocs <https://tendril-utils-media.readthedocs.io/en/latest/index.html>`_.

The latest version of the sources can be found at
`GitHub <https://github.com/tendril-framework/tendril-utils-media>`_. Please use 
GitHub's features to report bugs, request features, or submit pull/merge requests.

The principle author for ``tendril-utils-media`` is Chintalagiri Shashank. The 
author can be contacted if necessary via the information on the
`author's github profile <https://github.com/chintal>`_ . See the AUTHORS file
for a full list of collaborators and/or contributing authors, if any.

``tendril-utils-media`` is distributed under the terms of the
`AGPLv3 license <https://www.gnu.org/licenses/agpl-3.0.en.html>`_ .
A copy of the text of the license is included along with the sources.
pipeline-material 1.0
Pipeline material class for static integrity calculation

# Pipeline material class for static integrity calculation
[![GitHub Workflow Status](https://img.shields.io/github/actions/workflow/status/vb64/pipeline.material/pep257.yml?label=Pep257&style=plastic&branch=main)](https://github.com/vb64/pipeline.material/actions?query=workflow%3Apep257)
[![GitHub Workflow Status](https://img.shields.io/github/actions/workflow/status/vb64/pipeline.material/py2.yml?label=Python%202.7&style=plastic&branch=main)](https://github.com/vb64/pipeline.material/actions?query=workflow%3Apy2)
[![GitHub Workflow Status](https://img.shields.io/github/actions/workflow/status/vb64/pipeline.material/py3.yml?label=Python%203.7-3.11&style=plastic&branch=main)](https://github.com/vb64/pipeline.material/actions?query=workflow%3Apy3)
[![Codacy Badge](https://app.codacy.com/project/badge/Grade/4b1898433899465b870ed7ecc4f0fd02)](https://app.codacy.com/gh/vb64/pipeline.material/dashboard?utm_source=gh&utm_medium=referral&utm_content=&utm_campaign=Badge_grade)
[![Codacy Badge](https://app.codacy.com/project/badge/Coverage/4b1898433899465b870ed7ecc4f0fd02)](https://app.codacy.com/gh/vb64/pipeline.material/dashboard?utm_source=gh&utm_medium=referral&utm_content=&utm_campaign=Badge_coverage)

## Installation

```bash
pip install pipeline-material
```

## Usage

```python
from pipeline_material import PipelineMaterial

material = PipeMaterial("Steel", 20000)

assert material.smys == 20000
assert "smys 20000" in str(material)
```

## Development

```
$ git clone git@github.com:vb64/pipeline.material.git
$ cd pipeline.material
```
With Python 3:
```
$ make setup PYTHON_BIN=/path/to/python3
$ make tests
```
With Python 2:
```
$ make setup2 PYTHON_BIN=/path/to/python2
$ make tests2
```
godel-jupyter 0.0.4
A Jupyter kernel for Godel.

# godel-jupyter
Godel 的 Jupyter 内核。提供在 Jupyter 环境上 交互式地执行 Godel 脚本

This requires IPython 3, metakernel and json2html.

## 安装
godel-jupyter 已经上传到蚂蚁内部的 PyPi 上，使用 Python的包安装器 pip 安装 godel-jupyter：
```shell
pip3 install godel-jupyter -i https://pypi.antfin-inc.com/simple/
python3 -m godel-jupyter install
```
## 使用
在 Jupyter notebook 界面新建 notebook，选择 `Godel kernel`

```shell
# In the notebook interface, select Godel kernel from the 'New' menu
jupyter notebook
```

## 发布

首先确认你有权限访问 [蚂蚁 Artifacts PyPI 制品库](https://artifacts.antgroup-inc.cn) ，一般使用域账号即可登陆。

然后确认你有 [godel-jupyter](https://artifacts.antgroup-inc.cn/artifact/repositories/simple/godel-jupyter/) 的`write`权限，权限问题可以联系友恒。

* 蚂蚁PyPI教程：[蚂蚁 Artifacts PyPI 制品库 Token 使用说明](https://yuque.antfin.com/docs/share/66814f52-3f0b-4e7c-aa95-0a944eac05fa?#)

确认 `godel-jupyter/__init__.py` 里的版本，最后运行命令：
```bash
make release
```

## 版权声明
[Copyright (c) 2004, Alipay.com Inc. - All Rights Reserved.](LICENSE)
FusionX1 0.0.1
FusionX1
Keywords: python,video,stream,video stream,camera stream,sockets


    This is a detailed description of your package.

    :Author: Your Name
    :Email: your.email@example.com

    **Features:**

    - Feature 1
    - Feature 2

    **Usage:**

    ```python
    import your_package
    your_package.do_something()
    ```
mtcnn-runtime 1.0.0
Python library for streamlined tracking and management of AI training processes.
Requires Python: >=3.8
Keywords: machine learning

# mtcnn-runtime

基于mtcnn和onnxruntime的轻量级人脸检测库，开箱即用，非常方便。
![cover](./imgs/Solvay_conference_1927_comp_mtcnn-result.jpg)

## 使用方式

### 安装方式

在终端运行如下命令进行安装：

```shell
pip install mtcnn-runtime
```

> 本项目只针对python3.8以上版本进行维护

### 运行方式

安装完毕以后，可在python代码中加入如下内容进行使用：

```py
import cv2
from mtcnnruntime import MTCNN, draw_faces

mtcnn = MTCNN()
path="你的图像路径"
img = cv2.imread(path)
boxes, landmarks = mtcnn.detect(img)

# 并且, 你可以使用如下方式进行绘制
img_show = draw_faces(img, boxes, landmarks)
```