This model is a lightweight facedetection model designed for edge computing devices
- Ubuntu16.04、Ubuntu18.04、Windows 10（for inference）
- Python3.6
- Pytorch1.0.1
- CUDA10.0 + CUDNN7.6
Using the cleaned widerface labels provided by Retinaface
- Test accuracy in the WIDER FACE val set (single-scale input resolution: 640*640 or scaling by the maximum side length of 320)
| Model | Easy Set | Medium Set | Hard Set |
|---|---|---|---|
| libfacedetection v1（caffe） | 0.65 | 0.5 | 0.233 |
| libfacedetection v2（caffe） | 0.714 | 0.585 | 0.306 |
| Retinaface-Mobilenet-0.25 (Mxnet) | 0.745 | 0.553 | 0.232 |
| CenterFace | -- | -- | -- |
- Test accuracy in the WIDER FACE val set (single-scale input resolution: VGA 640*480 or scaling by the maximum side length of 640 )
| Model | Easy Set | Medium Set | Hard Set |
|---|---|---|---|
| libfacedetection v1（caffe） | 0.741 | 0.683 | 0.421 |
| libfacedetection v2（caffe） | 0.773 | 0.718 | 0.485 |
| Retinaface-Mobilenet-0.25 (Mxnet) | 0.879 | 0.807 | 0.481 |
| CenterFace | -- | -- | -- |