SFace
SFace: Sigmoid-Constrained Hypersphere Loss for Robust Face Recognition
Note:
- SFace is contributed by Yaoyao Zhong.
- face_recognition_sface_2021sep.onnx is converted from the model from https://github.com/zhongyy/SFace thanks to Chengrui Wang.
- Support 5-landmark warpping for now (2021sep)
Results of accuracy evaluation with tools/eval.
| Models | Accuracy |
|---|---|
| SFace | 0.9940 |
| SFace quant | 0.9932 |
*: 'quant' stands for 'quantized'.
Demo
NOTE: This demo uses ../face_detection_yunet as face detector, which supports 5-landmark detection for now (2021sep).
Run the following command to try the demo:
# recognize on images
python demo.py --input1 /path/to/image1 --input2 /path/to/image2
# get help regarding various parameters
python demo.py --help
License
All files in this directory are licensed under Apache 2.0 License.