To be honest I never used Albumentations.


Is there an instruction in albumentations that looks like “transforms.Grayscale(num_output_channels = 1)


ToGray(always_apply=False, p=1.0). Here is a demo with code: https://albumentations-demo.herokuapp.com/ 8


Is it interesting to use albumentations instead of transforms proposed by pytorch?


In my opinion it depends on the problem. In classic approaches usually not, but if you need extreme augmentation that this library can help.

3 .Is it possible to use at the same time albumentations and transforms or only one should be used?

I don’t know, but probably you can use both, one after another.  But why do you need to combine them?