facedetection_android.pytorch
Light-weight face detection on Android with pytorch model
This is Android demo for LightWeightFaceDetector
We train a ultra light weight face detection and landmark align model which is only 643.7 k.
wider face validation performance
| Models | Easy | Medium | Hard | Model Size |
|---|---|---|---|---|
| mobilenetv1_0.25 | 0.91718 | 0.79766 | 0.3592 | 1.6 M |
| mobilenetv2_0.1 | 0.85330 | 0.68946 | 0.2993 | 1.3 M |
| mobilenetv3_small | 0.93419 | 0.83259 | 0.3850 | 2.8 M |
| efficientnet-b0 | 0.93167 | 0.81466 | 0.37020 | 16.4 M |
| mobilenetv2_0.1_lite_3fpn | 0.80379 | 0.716958 | 0.34924 | 426 k |
| mobilenetv2_0.1_lite_3pan | 0.83309 | 0.77181 | 0.5301 | 643.7 k |
| mobilenetv2_0.1_lite_4pan | 0.83965 | 0.791419 | 0.5964 | 813 k |
Android Pytorch Detection
This demo is follow the Android resnet18 demo.
After pytorch 1.3, pytorch model can be easily deploy to android, see details for how to deploy ur pytorch model.
