semvec/pypi-packages huggingface dataset:
imageidentify 0.1.0
Python package for describing images
Requires Python: >=3

# imageidentify
### Install imageidentify from PyPi.
```bash
pip install imageidentify
```
Example
-------
>>> # Import library
>>> from imageidentify import imageidentify
>>> # Initialize
>>> prediction = identify(image_path)
>>> # Print description
>>> print(final_description(prediction))

imageidentify is a python package that can be used to output a simple description  of the objects an image contains using the Inception_V3 ImageNet model.
wxgl 0.9.14
A 3d library based pyOpenGL.

# WxGL

[![PyPI Version](https://img.shields.io/pypi/v/wxgl?color=orange)](https://pypi.python.org/pypi/wxgl/)
[![Downloads](https://pepy.tech/badge/wxgl)](https://pepy.tech/project/wxgl)
[![Downloads](https://pepy.tech/badge/wxgl/month)](https://pepy.tech/project/wxgl)
[![Downloads](https://pepy.tech/badge/wxgl/week)](https://pepy.tech/project/wxgl)

WxGL是一个基于PyOpenGL的跨平台三维数据快速可视化工具包，提供类似Matplotlib风格的应用方式。WxGL也可以集成到wxPython或PyQt6中实现更多的功能和控制。

[项目地址](https://github.com/xufive/wxgl)

[中文文档](https://xufive.github.io/wxgl/)

# 安装

```shell
pip install wxgl
```

# 快速体验

下面这几行代码，绘制了一个半径为1的地球，并以20°/s的角速度绕地轴自转。配合太阳光照效果和模型动画，可以清晰地看到晨昏分界线的变化。这段代码在example路径下有更详细的说明。

```python
import numpy as np
import wxgl

r = 1 # 地球半径
gv, gu = np.mgrid[np.pi/2:-np.pi/2:91j, 0:2*np.pi:361j] # 纬度和经度网格
xs = r * np.cos(gv)*np.cos(gu)
ys = r * np.cos(gv)*np.sin(gu)
zs = r * np.sin(gv)

light = wxgl.SunLight(direction=(-1,1,0), ambient=(0.1,0.1,0.1)) # 太阳光照向左前方，暗环境光
tf = lambda t : ((0, 0, 1, (0.02*t)%360), ) # 以20°/s的角速度绕y逆时针轴旋转

app = wxgl.App(haxis='z') # 以z轴为高度轴
app.title('自转的地球')
app.mesh(xs, ys, zs, texture='res/earth.jpg', light=light, transform=tf)
app.show()
```
vin-decoder-nhtsa 0.0.2
Python module for decoding VIN metadata from NHTSA API
Requires Python: >=3.7

# vin_decoder_nhtsa
Python library which uses the [NHTSA Vehicle API](https://vpic.nhtsa.dot.gov/api/) to perform lookups. Attributes are dynamically populated based on API query results returned. This, theoretically, keeps this library low maintenance and requires zero updates for handling of new VIN's.

## Usage
```
>>> from vin_decoder_nhtsa.decoder import Vin
>>>
>>> vin = Vin('WBAGF8324WD*82')
>>> print(vin.Make)
BMW
>>> print(vin.Model)
740i
>>> print(vin.ModelYear)
1998
```