hrnet_face_landmark
Summary
This is wrapper for HRNet/HRNet-Facial-Landmark-Detection
Features
- face landmark detection with hrnet as library
- face tracking
- automation for downloading and cropping the video from url
Installation
With source
git clone git@github.com:kingsj0405/hrnet_face_landmark.git
pip install -e .
TODO: With pip
pip install hrnet_face_landmark
TODO: Usage
from hrnet_face_landmark import HRNet
data = torch.randn(1, 3, 256, 256)
feat = HRNet.get_facial_feature(data)
pred = HRNet.get_facial_landmark(data)
image_path = "./data/image.png"
cropped_image = HRNet.crop_image(image_path)
video_path = "./data/video.mp4"
cropped_video_path = "./data/video_cropped.mp4"
cropped_frame_path = "./data/video_cropped/"
HRNet.crop_video(video_path, cropped_video_path, cropped_frame_path)
Citation
@inproceedings{SunXLW19,
title={Deep High-Resolution Representation Learning for Human Pose Estimation},
author={Ke Sun and Bin Xiao and Dong Liu and Jingdong Wang},
booktitle={CVPR},
year={2019}
}
@article{WangSCJDZLMTWLX19,
title={Deep High-Resolution Representation Learning for Visual Recognition},
author={Jingdong Wang and Ke Sun and Tianheng Cheng and
Borui Jiang and Chaorui Deng and Yang Zhao and Dong Liu and Yadong Mu and
Mingkui Tan and Xinggang Wang and Wenyu Liu and Bin Xiao},
journal = {TPAMI}
year={2019}
}
Citation
If you find this work or code is helpful in your research, please cite:
@inproceedings{SunXLW19,
title={Deep High-Resolution Representation Learning for Human Pose Estimation},
author={Ke Sun and Bin Xiao and Dong Liu and Jingdong Wang},
booktitle={CVPR},
year={2019}
}
@article{WangSCJDZLMTWLX19,
title={Deep High-Resolution Representation Learning for Visual Recognition},
author={Jingdong Wang and Ke Sun and Tianheng Cheng and
Borui Jiang and Chaorui Deng and Yang Zhao and Dong Liu and Yadong Mu and
Mingkui Tan and Xinggang Wang and Wenyu Liu and Bin Xiao},
journal = {TPAMI}
year={2019}
}
Reference
[1] Deep High-Resolution Representation Learning for Visual Recognition. Jingdong Wang, Ke Sun, Tianheng Cheng, Borui Jiang, Chaorui Deng, Yang Zhao, Dong Liu, Yadong Mu, Mingkui Tan, Xinggang Wang, Wenyu Liu, Bin Xiao. Accepted by TPAMI. download