@yix081 @xwjabc thanks for sharing the code base , i have few queries on the problem statement which i am working for its gender_age classification of a person ie multilabel recognition problem
my input image size varies from 8056 to 256128 for this input image should i change the patch size from 4 to 16 if so what all other params should i change ?
since it is multilabel classification problem should i change the self.head()= nn.Linear(self.num_features, num_classes) if num_classes > 0 else nn.Identity() line
should i freeze the layers in the transformer and train only the last layer ??
Thanks in advance
@yix081 @xwjabc thanks for sharing the code base , i have few queries on the problem statement which i am working for its gender_age classification of a person ie multilabel recognition problem