ImageEnhancer


NameImageEnhancer JSON
Version 1.0 PyPI version JSON
download
home_pagehttps://github.com/RauhanAhmed/ImageEnhancer
SummaryReal-ESRGAN aims at developing Practical Algorithms for General Image Restoration
upload_time2024-02-10 18:23:06
maintainer
docs_urlNone
authorRauhan Ahmed Siddiqui
requires_python
licenseMIT
keywords computer vision pytorch image restoration super-resolution esrgan real-esrgan gfpgan gradio image enhancer image quality enhancement image upscaler image quality upscaler
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            
# ImageEnhancer


Enhance and upscale your images effortlessly with ImageEnhancer, 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 "ImageEnhancer" 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/m00WnDk/Screenshot-2024-01-28-162934.png)

![App Screenshot](https://i.ibb.co/hMg6Xd0/Screenshot-2024-01-28-162745.png)

## Installation
```bash
  pip install ImageEnhancer
```
    
## Usage

```python
from ImageEnhancer 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/)

            

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