The code (pytorch for testing & matlab for 3D plot and evaluation) for our project: Joint 3D Face Reconstruction and Dense Face Alignment from A Single Image with 2D-Assisted Self-Supervised Learning (2DASL)
I am kind of new to pytorch, did anyone know which script should I run in order to predict 2D or 3D landmarks for a given facial image? or should I write a new testing code and use the model such as "2DASL_checkpoint_epoch_allParams_stage2.pth.tar" for this task?
Hi,
I am kind of new to pytorch, did anyone know which script should I run in order to predict 2D or 3D landmarks for a given facial image? or should I write a new testing code and use the model such as "2DASL_checkpoint_epoch_allParams_stage2.pth.tar" for this task?
Thanks a lot!