add Qwen2-VL image processor fast

[yonigozlan]

What does this PR do?

Adds a fast image processor for Qwen2-VL. Follows issue #33810.
This image processor is a result of this work on comparing different image processing method.

More on how to use fast image processors here.

This PR doesn't include optimization for batch processing as this will be added to the base image processor fast in this PR #35069.
Once #35069 is merged, this fast processor will need to be refactored and the batch processing optimizations will be added.

Fixes #34272

Who can review?

Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
members/contributors who may be interested in your PR.

[yonigozlan]

Hey @qubvel !
I'm having an issue here with make fix-copies trying to add

class TimmWrapperImageProcessor(metaclass=DummyObject):
    _backends = ["torchvision"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torchvision"])

to dummy_torchvision_objects.py, but once it's added, I'm getting another error with python utils/check_inits.py:

Traceback (most recent call last):
  File "/home/ubuntu/models_implem/transformers/utils/check_inits.py", line 373, in <module>
    check_all_inits()
  File "/home/ubuntu/models_implem/transformers/utils/check_inits.py", line 298, in check_all_inits
    raise ValueError("\n\n".join(failures))
ValueError: Problem in src/transformers/__init__.py, both halves do not define the same objects.
Differences for torchvision backend:
  TimmWrapperImageProcessor in TYPE_HINT but not in _import_structure.

Weird that it is not picked up on the main branch though!

[ArthurZucker]

Nice! Good timing with the qwen 2.5 release

[qubvel]

Thanks for adding more fast image processors!