semvec/pypi-packages huggingface dataset:
cvindrones 0.0.2
Direct Implementation of computer vision with just a line of code
Requires Python: >=3.3

More about cvindrones
==============================
It is a package having pre-built codes of face recognition, hands tracking module and body pose tracking. Implemented with a single line of code.

https://www.lakshaykumar.tech/

What Is This?
-------------

Implement the power of Computer Vision in your program with just few simple lines of code. Hand detection, Body Pose and face Recognition modules are included in this package


faceProcessor(image, draw=False)
> This function returns a 1D list of 3 items. Image (with rectangular box, if drawArea=True), area of face and [x,y,w,h]

bodyProcessor(image, draw=False)
> This function returns a list of 3 items i.e. Image (with rectangular box, if drawArea=True), list of body points and area of body.

handProcessor(image, draw=False)
> This function returns a list having image (with hand connections, if drawArea=True) and points in handlandmarks

Usage
-------

> faceProcessor(image, draw=True)
```
from cvindrones import faceProcessor
import cv2
cap = cv2.VideoCapture(0)
while True:
    success, image = cap.read()
    funValues = faceProcessor(image,draw=True)
    image = funValues[0]
    area = funValues[1]
    x,y,w,h = funValues[2]
    cv2.imshow('Faces', image)
    cv2.waitKey(1)
cap.release()
```

> bodyProcessor(image, draw=True)
```
from cvindrones import bodyProcessor
import cv2
cap = cv2.VideoCapture(0)
while True:
    success, image = cap.read()
    funValues = bodyProcessor(image,draw=True)
    image = funValues[0]
    poseList = funValues[1]
    area = funValues[2]
    cv2.imshow('Body Posture Detection', image)
    cv2.waitKey(1)
cap.release()
```

> handProcessor(image,draw=True)
```
from cvindrones import handProcessor
import cv2
cap = cv2.VideoCapture(0)
while True:
    success, image = cap.read()
    funValues = handProcessor(image,draw=True)
    image = funValues[0]
    handLms = funValues[1]
    cv2.imshow('Hand Gesture Controller', image)
    cv2.waitKey(1)
cap.release()
```
nextcord-better-help 1.6.2
An exact copy of discord-better-help but for Nextcord.
Requires Python: >=3.6

Nextcord better help
===================

An extension module for [nextcord](https://pypi.org/project/nextcord/ "nextcord PyPi page") to make setting up a help command easier.

Notices:
-------
* This module was based off of [discord-better-help](https://pypi.org/project/discord-better-help/ "discord-better-help PyPi page") by [Skyla Dev](https://pypi.org/user/SklyaDev/ "SkylaDev PyPi profile").

Installation:
-------------

###### Install with pip:
```
pip install nextcord-better-help
```
###### Usage
```python
from discord.ext import commands
from better_help import Help

bot = commands.Bot(command_prefix="!", help_command=Help())

bot.run("token")
```
###### Update with pip:
```
pip install nextcord-better-help --upgrade
```

###### Install from source:
```
python setup.py install
```

Links:
------
* [GitHub repo](https://github.com/AvocadoManYT/nextcord-better-help/)
* [PyPi project page](https://pypi.org/project/nextcord-better-help/)
xy-web-settings 1.0.14
Web Settings

# xy_web_settings

#### 介绍
xy_web_settings

#### 软件架构
软件架构说明


#### 安装教程

1.  xxxx
2.  xxxx
3.  xxxx

#### 使用说明

1.  xxxx
2.  xxxx
3.  xxxx

#### 参与贡献

1.  Fork 本仓库
2.  新建 Feat_xxx 分支
3.  提交代码
4.  新建 Pull Request


#### 特技

1.  使用 Readme\_XXX.md 来支持不同的语言，例如 Readme\_en.md, Readme\_zh.md
2.  Gitee 官方博客 [blog.gitee.com](https://blog.gitee.com)
3.  你可以 [https://gitee.com/explore](https://gitee.com/explore) 这个地址来了解 Gitee 上的优秀开源项目
4.  [GVP](https://gitee.com/gvp) 全称是 Gitee 最有价值开源项目，是综合评定出的优秀开源项目
5.  Gitee 官方提供的使用手册 [https://gitee.com/help](https://gitee.com/help)
6.  Gitee 封面人物是一档用来展示 Gitee 会员风采的栏目 [https://gitee.com/gitee-stars/](https://gitee.com/gitee-stars/)