owl-vit-eval-postprocessor
Author: orrzohar
Pull request: yes

# What does this PR do?

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Fixes # (issue) 21206
https://github.com/huggingface/transformers/issues/21206


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## Who can review?

@sgugger
@NielsRogge
@alaradirik
@amyeroberts

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Models:

- text models: @ArthurZucker and @younesbelkada
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- speech models: @sanchit-gandhi
- graph models: @clefourrier

Library:

- flax: @sanchit-gandhi
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Comments:
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_23982). All of your documentation changes will be reflected on that endpoint.

Also maybe @rafaelpadilla could have a look here to help if you're too busy @amyeroberts 

Yes please @rafaelpadilla, if you have bandwidth!

Having a method to convert the boxes into a format that can be used by evaluators is a great idea. :+1: I also found similar problems with other models that could benefit by this suggestion.

However, owl-vit already has the function `post_process_object_detection` ([here](https://github.com/huggingface/transformers/blob/main/src/transformers/models/owlvit/image_processing_owlvit.py#L384)), which already outputs boxes in format xyx2y2. 

I'm not familiarized with the owl-vit , but as the suggested function makes usage of `pred_per_img`, I assume that calling the existing `post_process_object_detection` with `threshold=0.` won't produce the same results as if calling `post_process_object_detection_evaluation`. 

Couldn't the suggested function `post_process_object_detection_evaluation` call `post_process_object_detection` and then use `pred_per_img` to post process the retrieved boxes? 


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.