semvec/pypi-packages huggingface dataset:
PyApple 2.0.1
Simple python library for dealing with Apple device's firmwares.
License: MIT
Requires Python: >=3.8

# PyApple

> Simple python library for dealing with Apple device's firmwares.

## Features

* Asynchronous (you can use synchronous method either)
* Fetch IPSW by identifier, build number and version
* Fetch OTA firmware by identifier, buildid and version
* Fetch available MacOS from Apple's update server (including betas)
* Get information of cydia tweak and repo
* Extract SHSH2 blobs of iDevices
* Request an asset from Apple's Pallas OTA server.

## Example

```py
from pyapple import Apple

client = Apple()

device = client.search_device("iPad13,4")

print(device.name) # Prints "iPad Pro (11-inch) (3rd generation)"
```

You could see more example codes from [here](https://github.com/fxrcha/PyApple/blob/main/example).

## Documentation

[here](https://github.com/fxrcha/PyApple/blob/main/docs)

## Install

```zsh
python3 -m pip install pyapple
```

### Build Environment

* [macOS Monterey 12.0.1](https://www.apple.com/macos/monterey/)
* [Python 3.9.4 64-bit](https://www.python.org/downloads/release/python-394/)
* [Mac mini (M1, 2020)](https://www.apple.com/mac-mini/) 

## Contribute

* Strongly recommends using black and isort.
* Use pull request.

## License

MIT License
glaring-simulation 0.1.3
Augmentation methods: glaring
License: MIT

## The Augmentation methods: this lib help simulation glaring phenomena in image

## Install:
```
pip3 install glaring-simulation
```

## Basic using:
```
from glaring_simulation import Glaring
glaring_testing = Glaring.Glaring()
img_path = "resource/image.jpg"
glaring_image = glaring_testing.predict(image_path=img_path)
cv2.imwrite("resource/glaring_image.jpg", glaring_image)
```

## Result
### Normal image
![Normal image](https://raw.githubusercontent.com/thomle295/glaring_simulation/main/resource/image.jpg)

### Glaring image
![Glaring image](https://raw.githubusercontent.com/thomle295/glaring_simulation/main/resource/glaring_image.jpg)