[transforms] Extends the list of supported data augmentations

[fg-mindee]

As discussed in #654, the artefact detection needs to improve its robustness. In order to do so and prevent overfitting, I would suggest gradually extending the list of our supported transformations:

• [x] uniform photometric transformations (noise, blur, etc.) #758 #654 #768 #771
• [x] non-uniform photometric transformations (shadows, etc.) #811
• [ ] geometric transformations (flips, rotations, crops, etc.) #773 #799

Ideally, a given transform should be implemented in doctr/transforms/modules so that with the corresponding backend, we can do:

transfo = ....
pil_img = ... 
augmented_img = transfo(pil_img)

for transformations that only change the image.

and:

transfo = ....
pil_img = ... 
target = {...}
augmented_img, augmented_target = transfo(pil_img, target)

for transformations that alter the target. In doing so, that will work nicely with our Dataloaders :+1:

[felixdittrich92]

@frgfm only @SiddhantBahuguna PR left or do you have other augmentations in mind ? :)

[frgfm]

For now, I think the random perspective would be the last one required yeah :+1:

[felixdittrich92]

Hi @SiddhantBahuguna any way in near future that you finish your draft PR ? :) Or should we keep it free to take ?

[SiddhantBahuguna]

Hi @SiddhantBahuguna any way in near future that you finish your draft PR ? :) Or should we keep it free to take ?

Greetings @felixdittrich92 , I am really sorry for the unwanted delay. I will get it done this week positively :) Sorry again !

[felixdittrich92]

Sounds nice :hugs: :+1:

[felixdittrich92]

@SiddhantBahuguna Do you think you could finish your PR that we can close this ? :)