add Qwen2-VL image processor fast
Author: yonigozlan
Pull request: yes
Labels: name: Vision

name: optimization

name: Processing

# What does this PR do?
Adds a fast image processor for Qwen2-VL. Follows issue https://github.com/huggingface/transformers/issues/33810.
This image processor is a result of [this work](https://www.notion.so/huggingface2/OptimVision-Optimize-preprocessing-time-10f1384ebcac8091a12debb87fe5f591) on comparing different image processing method.

More on how to use fast image processors [here](https://huggingface.co/docs/transformers/main_classes/image_processor#image-processor).

This PR doesn't include optimization for batch processing as this will be added to the base image processor fast in this PR https://github.com/huggingface/transformers/pull/35069.
Once https://github.com/huggingface/transformers/pull/35069 is merged, this fast processor will need to be refactored and the batch processing optimizations will be added.
<!--
Congratulations! You've made it this far! You're not quite done yet though.

Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.

Then, please replace this with a description of the change and which issue is fixed (if applicable). Please also include relevant motivation and context. List any dependencies (if any) that are required for this change.

Once you're done, someone will review your PR shortly (see the section "Who can review?" below to tag some potential reviewers). They may suggest changes to make the code even better. If no one reviewed your PR after a week has passed, don't hesitate to post a new comment @-mentioning the same persons---sometimes notifications get lost.
-->

<!-- Remove if not applicable -->

Fixes https://github.com/huggingface/transformers/issues/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.

<!-- Your PR will be replied to more quickly if you can figure out the right person to tag with @

 If you know how to use git blame, that is the easiest way, otherwise, here is a rough guide of **who to tag**.
 Please tag fewer than 3 people.

Models:

- text models: @ArthurZucker
- vision models: @amyeroberts, @qubvel
- speech models: @ylacombe, @eustlb
- graph models: @clefourrier

Library:

- flax: @sanchit-gandhi
- generate: @zucchini-nlp (visual-language models) or @gante (all others)
- pipelines: @Rocketknight1
- tensorflow: @gante and @Rocketknight1
- tokenizers: @ArthurZucker
- trainer: @muellerzr and @SunMarc
- chat templates: @Rocketknight1

Integrations:

- deepspeed: HF Trainer/Accelerate: @muellerzr
- ray/raytune: @richardliaw, @amogkam
- Big Model Inference: @SunMarc
- quantization (bitsandbytes, autogpt): @SunMarc @MekkCyber

Documentation: @stevhliu

HF projects:

- accelerate: [different repo](https://github.com/huggingface/accelerate)
- datasets: [different repo](https://github.com/huggingface/datasets)
- diffusers: [different repo](https://github.com/huggingface/diffusers)
- rust tokenizers: [different repo](https://github.com/huggingface/tokenizers)

Maintained examples (not research project or legacy):

- Flax: @sanchit-gandhi
- PyTorch: See Models above and tag the person corresponding to the modality of the example.
- TensorFlow: @Rocketknight1

 -->


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