Any plan about data augmentation about detr HOT 1 CLOSED

Hi,

The current implementation supports a number of data augmentations, including random resizing and random crops.

If I understand it correctly, the mozaic data augmentation that you pointed out is very similar (if not equivalent) to doing random resize on each image. Indeed, in the same mini-batch, we can have images of different resolutions, and it can be customized, so that a very large image could be in the same minibatch as a very small image.

Since the utilization of RandomSizeCrop, all the labels associated to an image may be cropped. (So this repo supports training with no targets in an image? 🤔️)

Yes, that's correct, we support feeding training images without any annotations (which generally happens with random crops).

I believe I've answered your questions, and as such I'm closing the issue, but let us know if you have further questions.

from detr.