Faster image processor
Author: justyx404
Pull request: yes

# What does this PR do?

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My attempt to #31205, most of the work were already done in #28221. I just added the adoption in `detr` and include new tests in both `videomae` and `detr` as suggested.


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## Who can review?
@amyeroberts @ikergarcia1996
The tests might be a bit artificial would love to switch it to a more realistic use case, e.g maybe make a list of actual videos and images. The image processor from `videomae` didn't really triggered the recursive check but the one from `detr` did. Let me know if this is what you are looking for and then I will fix the rest of `detr` variants.

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Comments:
Hi @g1y5x3, thanks for opening this PR and apologies for the delay in responding. 

In terms of these transforms, we'll need to add some additional logic. At the moment, doing `np.array` before passing into BatchFeature assumes that the input can be batched i.e. the images are of the same size. We'll need to add additional logic checks which ensure this still passes when e.g. `do_resize=False` 

Hi, no worries. I just need to reload the cache on what exactly I did and run some benchmarks locally to understand the need of that logic better. When I was writing this PR, I didn't notice the speed difference without it but it wasn't anywhere precise but just a feeling.

This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

Please note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) are likely to be ignored.