Define the best API for users to apply augmentations in a probabilistic manner.

Maybe this will look like:

RandomChance(layer, rate=0.5)

or maybe:

MaybeApply(layer, rate=0.5)

Either way, this is important for the composition of image augmentation pipelines.

[bhack]

I think that we need to reason a little bit more in general about what kind of access to the augmentation layers an auto augmentation policy need to achieve. Then I suppose we could think at RandomApply as just one of the simplest policy.

I don’t know if @haifeng-jin has any feedback.

[innat]

@LukeWood What you’re referring trivial to implement, in the breath, you can also say that implementing rate is also trivial to implement to end-users. The feature request in no. 2 is not actually a random request. It’s followed in practice.

If you see other popular augmentation libraries, for example, img_aug and albumentation, all of them offers such feature to users. In addition, if you see the torch-vision, you would find the same. In torch, you can use RandomChoice to apply a single transformation randomly picked from a list with a given probability. If this info motivates you, please reconsider the request.