BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation
Changqian Yu, Jingbo Wang, Chao Peng, Changxin Gao, Gang Yu, Nong Sang. In ECCV, 2018.
We implement the semantic segmentation and make-up for facial images. The official weights are converted to jittor. Download the weights and put them in ./checkpoints/
The Google Drive link: https://drive.google.com/drive/folders/11Z5hTWku3ARkTJOmtnoWpKMqTwKF7V1i?usp=sharing
Generate segmentation results for facial images :
python test.py --input_dir ./img/input/ --output_dir ./img/parse/
Make up for facial images:
python make_up.py --input_image ./img/input/458.jpg --output_image ./img/makeup/458.jpg
This example change the hair color. Other parts, such as lips, can also be changed.
This repository borrows partially from the original codes and face parasing torch repository.