Linfeng Jiang
Linfeng Jiang
How do you get the five faces of every subject? (vggface2_val_list_max_normal_100_ring_5_1_serial.npy') I could get landmarks or skin mask. Author choose five normoal faces with every identity. It is more important!
@Ned09 It seems that you don't set the variables in a right way. You can have a try by using the python script.
@Ned09 Yes, because you should compile caffe and opencv if you want to install this repo. Anyway, you need a caffe environment at first.
@Shelomith Telsa P100
@1180800817 I generate it by myself. You can generate it with dataset（VggFace2，BUPT-Face，voxceleb2 ）. voxceleb2 is a video dataset, you should choose good quality videos first, then get the images from...
@lhyfst I trained the model without any pretrained model. Finally, I get median1.217mm mean1.517mm std 1.249mm with NOW validation set. (DECA median:1.18, mean:1.46mm,std:1.25mm)
@Shelomith Because your results is based on validation set. **(median:1.09, mean:1.38mm,std:1.18mm )**This result is based on test set. But I only get results(meadian:1.1778,Mean:1.4636,std:1.2529) with DECA model.
> meadian:1.1778,Mean:1.4636,std:1.2529 This result is the same as papr(DECA)
the shape of list should be (N,5)->N is num of identitys
You should add Net.eval() for BN and dropout