Super Resolution with Real-ESRGAN
Project Setup
This project uses the Real-ESRGAN repository available on Github:
git clone https://github.com/mpolinowski/Real-ESRGAN
And we will be using a pre-trained model that can be downloaded from here:
cd Real-ESRGAN
wget https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth -P experiments/pretrained_models
Install Dependencies
All dependencies are listed in the requirements.txt file:
basicsr>=1.3.3.11
facexlib>=0.2.0.3
gfpgan>=0.2.1
numpy
opencv-python
Pillow
torch>=1.7
torchvision
tqdm
daal==2021.2.3
pip3 install -r requirements.txt
And run the setup script:
python setup.py develop
Run Up-Sampling
We can run the following script included inside the repository to feed images from the ./inputs directory into our GAN and output the up-sampled images into the ./results folder:
python inference_realesrgan.py -n RealESRGAN_x4plus -i inputs --face_enhance
Results
