https://github.com/codemaster947/real-esrgan
Science Score: 36.0%
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Low similarity (7.4%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: codemaster947
- License: bsd-3-clause
- Language: Python
- Default Branch: main
- Size: 30.1 MB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files
README.md
Real-ESRGAN
PyTorch implementation of a Real-ESRGAN model trained on custom dataset. This model shows better results on faces compared to the original version. It is also easier to integrate this model into your projects.
This is not an official implementation. We partially use code from the original repository
Real-ESRGAN is an upgraded ESRGAN trained with pure synthetic data is capable of enhancing details while removing annoying artifacts for common real-world images.
You can try it in google colab 
- Paper (Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data)
- Original implementation
- Huggingface 🤗
Installation
bash
pip install git+https://github.com/sberbank-ai/Real-ESRGAN.git
Usage
Basic usage:
```python import torch from PIL import Image import numpy as np from RealESRGAN import RealESRGAN
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
model = RealESRGAN(device, 'realesr-general-x4v3') model.load_weights(download=True)
pathtoimage = 'inputs/image.png' image = Image.open(pathtoimage)
sr_image = model.predict(image)
sr_image.save('results/image.png') ```
Examples
Low quality image:
Real-ESRGAN result:
Low quality image:
Real-ESRGAN result:
Low quality image:
Real-ESRGAN result:
Low quality image:
Real-ESRGAN result:
Low quality image:
Real-ESRGAN result:
Low quality image:
Real-ESRGAN result:
Owner
- Login: codemaster947
- Kind: user
- Repositories: 1
- Profile: https://github.com/codemaster947
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