replace your picture in '/picture/demo.jpg' and run 'python predict_m.py'
the result is '/picture/result_demo.jpg'
some of the predict code is copy and rewrite from:faceboxes
wider result:
| easy | medium | hard |
|---|---|---|
| 0.846 | 0.840 | 0.455 |
demo:
update @ 2018/11/25:
we add rotation augmentation and train a new model,these model run the same time but more robust to each rotation of the picture:
demo:
usage:
replace the checkpoint to /weight/msos_pnet_rotate.pt & /weight/msos_onet_rotate.pt