ashutoshm1771 / Restoration-of-Degraded-Images-Using-VAE-and-GAN

This project is my final year project implementation and is all about restoring Degraded Images using VAE and GAN.

Restoration-of-Degraded-Images-Using-VAE-and-GAN

This project is my final year project implementation and is all about restoring Degraded Images using VAE and GAN.

Demo

System Design

Testing

References

Requirement

The code is tested on Ubuntu with Nvidia GPUs and CUDA installed. Python>=3.6 is required to run the code.

Installation

Clone the Synchronized-BatchNorm-PyTorch repository for

cd Face_Enhancement/models/networks/
git clone https://github.com/vacancy/Synchronized-BatchNorm-PyTorch
cp -rf Synchronized-BatchNorm-PyTorch/sync_batchnorm .
cd ../../../

cd Global/detection_models
git clone https://github.com/vacancy/Synchronized-BatchNorm-PyTorch
cp -rf Synchronized-BatchNorm-PyTorch/sync_batchnorm .
cd ../../

Download the landmark detection pretrained model

cd Face_Detection/
wget http://dlib.net/files/shape_predictor_68_face_landmarks.dat.bz2
bzip2 -d shape_predictor_68_face_landmarks.dat.bz2
cd ../

Download the pretrained model from Azure Blob Storage, put the file Face_Enhancement/checkpoints.zip under ./Face_Enhancement, and put the file Global/checkpoints.zip under ./Global. Then unzip them respectively.

cd Face_Enhancement/
wget https://facevc.blob.core.windows.net/zhanbo/old_photo/pretrain/Face_Enhancement/checkpoints.zip
unzip checkpoints.zip
cd ../
cd Global/
wget https://facevc.blob.core.windows.net/zhanbo/old_photo/pretrain/Global/checkpoints.zip
unzip checkpoints.zip
cd ../

Install dependencies:

pip install -r requirements.txt

How to use?

Note: GPU can be set 0 or 0,1,2 or 0,2; use -1 for CPU