Image augmentation

[minhquoc0712]

Hi, thank you for your interesting research.

I have some questions regarding the data augmentation:

1. In the paper, you stated as follows: "The training images were first resized to 256 × 256 and then augmented with random cropping to 224×224 as well as random horizontal flipping with the probability of 50%." But when reading the code, I see that you use the default dataset augmentation from the ProxyAnchor code, which does not contain resized image to 256 x 256 for is_train=True. Can you clarify it?
2. There is no mention, is the test data augmentation used the same one from the ProxyAnchor code.