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
Installation
pip install HyperRez
Usage
from HyperRez import ImageUpscaler
# Initialise the upscaler
upscaler = ImageUpscaler()
# Launch the Gradio Interface
upscaler.launchInterface()
Authors
License
1 maintainer
Metadata
1 maintainer
Release files for HyperRez 2.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| HyperRez-2.0.tar.gz | 6.5 kB | Without provenance | Details for HyperRez-2.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| HyperRez-2.0-py3-none-any.whl | Python 3 | none | any | Details for HyperRez-2.0-py3-none-any.whl |
Total release size: 12.8 kB
Release files / HyperRez-2.0.tar.gz
| Download URL | HyperRez-2.0.tar.gz |
|---|---|
| Size | 6.5 kB |
| Tags | Source |
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Release files / HyperRez-2.0-py3-none-any.whl
| Download URL | HyperRez-2.0-py3-none-any.whl |
|---|---|
| Size | 6.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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twine/4.0.2 CPython/3.12.1
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Security for HyperRez 2.0
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