SFEW

[toharl]

Thank you for your work.
Could you please share your training code for SFEW 2.0?

[yaoing]

Thanks for your interest !
We only make public for the codes of RAF-DB and AffectNet datasets. As for SFEW 2.0, the images need to be crop manually, and the different face detection model may lead in various result with our code.

[toharl]

May I know if you use the same transformations as in affectnet or raf-db? i.e:

DAN/rafdb.py

Line 131 in a46962c

data_transforms = transforms.Compose([

[yaoing]

Not really, It's the transfom function, you can make a referance:

data_transforms = transforms.Compose([
        transforms.Resize((224, 224)),
        transforms.RandomHorizontalFlip(),
        transforms.RandomApply([
            transforms.RandomAffine(20, scale=(0.8, 1), translate=(0.2, 0.2))
            ], p=0.5),
        transforms.ToTensor(),
        transforms.Normalize(mean=[0.485, 0.456, 0.406],
                                 std=[0.229, 0.224, 0.225]),
        ])

[toharl]

Thank you. May I know how do you crop and which face detection model you used in order to get your high performance?