face.evoLVe: High-Performance Face Recognition Library based on PaddlePaddle & PyTorch
- Evolve to be more comprehensive, effective and efficient for face related analytics & applications! (WeChat News)
- About the name:
- "face" means this repo is dedicated for face related analytics & applications.
- "evolve" means unleash your greatness to be better and better. "LV" are capitalized to acknowledge the nurturing of Learning and Vision (LV) group, Nation University of Singapore (NUS).
- This work was done during Jian Zhao served as a short-term "Texpert" Research Scientist at Tencent FiT DeepSea AI Lab, Shenzhen, China.
License
The code of face.evoLVe is released under the MIT License.
News
:white_check_mark: CLOSED 02 September 2021: Baidu PaddlePaddle officially merged face.evoLVe to faciliate researches and applications on face-related analytics (Official Announcement).
:white_check_mark: CLOSED 03 July 2021: Provides training code for the paddlepaddle framework.
:white_check_mark: CLOSED 04 July 2019: We will share several publicly available datasets on face anti-spoofing/liveness detection to facilitate related research and analytics.
:white_check_mark: CLOSED 07 June 2019: We are training a better-performing IR-152 model on MS-Celeb-1M_Align_112x112, and will release the model soon.
:white_check_mark: CLOSED 23 May 2019: We share three publicly available datasets to facilitate research on heterogeneous face recognition and analytics. Please refer to Sec. Data Zoo for details.
:white_check_mark: CLOSED 23 Jan 2019: We share the name lists and pair-wise overlapping lists of several widely-used face recognition datasets to help researchers/engineers quickly remove the overlapping parts between their own private datasets and the public datasets. Please refer to Sec. Data Zoo for details.