semvec/pypi-packages huggingface dataset:
HyperRez 2.0
Sharpen Blurry Memories: Supercharge Your Images with HyperRez
License: MIT
Keywords: computer vision, pytorch, image restoration, super-resolution, esrgan, real-esrgan, gfpgan, gradio, image enhancer, image quality enhancement, image upscaler, image quality upscaler


# HyperRez: Sharpen Blurry Memories


Enhance and upscale your images effortlessly with HyperRez, a Python library crafted by Rauhan Ahmed Siddiqui. Leveraging the power of GFPGAN and RealESRGAN, state-of-the-art Generative Adversarial Networks, this library provides advanced image enhancement capabilities. Real-ESRGAN focuses on upscaling backgrounds, while GFPGAN excels in refining the faces of human subjects.


## Features

- **Dual Network Integration:** Combines Real-ESRGAN and GFPGAN for comprehensive image enhancement.
- **Gradio Interface:** Seamlessly deployed into production using Gradio Interface for an interactive and user-friendly experience.
- **GPU Acceleration:** Optimized for GPU processing, ensuring fast and efficient image enhancement (Note: Performance may be suboptimal on CPUs).
- **PyPI Integration:** Available on PyPI as the "HyperRez" library for easy installation and use.


## Screenshots

![App Screenshot](https://i.ibb.co/wRTQwrt/Beige-and-White-Be-Yourself-Square-Pillow-2.png)

![App Screenshot](https://i.ibb.co/VLsXqY6/Screenshot-2024-02-11-005136.png)

![App Screenshot](https://i.ibb.co/BBKh0BR/Screenshot-2024-02-11-005236.png)

## Installation
```bash
  pip install HyperRez
```
    
## Usage

```python
from HyperRez import ImageUpscaler

# Initialise the upscaler
upscaler = ImageUpscaler()

# Launch the Gradio Interface
upscaler.launchInterface()
```


## Authors

[Rauhan Ahmed Siddiqui](https://linkedin.com/in/rauhan-ahmed/)


## License

[MIT](https://choosealicense.com/licenses/mit/)
aracnid-api 2.2.0
This package contains custom wrappers around a variety of Web App APIs.
License: MIT
Requires Python: <4.0,>=3.10
Keywords: api, airtable

# Aracnid API

This package contains custom wrappers around a variety of Web App APIs.

## Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

### Prerequisites

This package supports the following version of Python:

- Python 3.10 or later

### Installing

Install the latest package using pip. (We prefer poetry.)

```
$ poetry install aracnid-api
```

End with an example of getting some data out of the system or using it for a little demo

## Running the tests

Explain how to run the automated tests for this system

```
$ python -m pytest
```

## Usage

TODO

## Authors

- **Jason Romano** - [Aracnid](https://github.com/aracnid)

See also the list of [contributors](https://github.com/lakeannebrewhouse/aracnid-logger/contributors) who participated in this project.

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details