face-alignment
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which trained model is the most accurate
Silly question here but I really want to get higher accuracy.
The weights of each group are identical and they simply reflect the internal changes made inside pytorch. Beyond this 2DFAN will produce 2D landmarks, 3DFAN - 2.5D landmarks and 3DFAN + the depth model will produce 3D landmarks. The projection of the 3D landmarks into 2D correspond with the 2.5D predictions.
@1adrianb Thanks for your reply! Yeah, I've just tested it out and I see that.
Also, one thing I've noticed is that the eye landmarks being not aligned perfectly when the eye is closed. Do you have any plan to fine-tune the model on images where people closing their eyes?
Sorry for delay, yes, but I don't have an exact timeline unfortunately.
Sorry for delay, yes, but I don't have an exact timeline unfortunately.
@1adrianb If you could share your training code, I would be willing to try the fine-tune work.