Usage

1. Clone the repository

git clone https://github.com/piani/style-prnet.git
cd style-prnet

2. Clone PRNet in style-prnet/

git clone https://github.com/piani/PRNet.git

3. Clone stylegan-encoder in style-prnet/

git clone https://github.com/piani/stylegan-encoder.git 

then you have this

style-prnet
│   README.md
│   style_prnet_execute.py
│
└───stylegan-encoder
│
└───PRNet

4. Run with your own images

python style_prnet_execute.py -i <inputDir> -o <outputDir> -g <float::gender_degree> -a <float::age_degree> -s <float::smile_degree>

• defalut inputDir: /stylegan-encoder/raw_images/
• <inputDir> is absolute path only.
• default <outputDir>: /results/3DGenerated_results
• output will be saved /results/
• We have now 3 style latent: smile, age, gender