High MAE when test with face detector

thohemp / 6DRepNet

Official Pytorch implementation of 6DRepNet: 6D Rotation representation for unconstrained head pose estimation.

MIT License

550 stars 72 forks source link

High MAE when test with face detector #18

Closed JuneoXIE closed 2 years ago

JuneoXIE commented 2 years ago

Hi, thank you for this great work, but I've met some trouble... I trained the model with my own data, and got MAE 4.05 on validation set. However when I test the trained model combined with Retinaface on same images(uncropped), the MAE turns to be more than 20. What's the possible reason?