[documentation] Pair descriptions

[Steven-N-Hart]

When processing images using the utils script , could you clarify the definitions of the inputs?

I'm assuming:

• self.targets: a list of reference image
• self.data: a list of images of an alternate class

In this way I would expect that the __get_item__() would return either

1. two random transformations of the images from a different class, plus the original target
2. Or if using the positive pair strategy, return 1 augmented non class image, 1 augmented image of the same class, and the target.

Could you confirm if I have this correct?

[joshr17]

Hi Steven,

self.targets and self.data are lists that store the full dataset and each samples label (if there are no labels, then self.targets is a list of None's. I suspect the reason this is a little confusing here is that these variables are not explicitly defined in my code. Instead, for the three datasets I look at here (CIFAR10, CIFAR100, STL10) all of these attributes are inherited from their base class from the torch library (see e.g. the definition of CIFAR10Pair).

To see a concrete example of what these look like then I recommend loading the torch CIFAR10 dataset and simply printing these two variables.

Hope this helps,

Josh

[joshr17]

Feel free to re-open if you have any further questions!