added visualization for min and max transforms

[marinabar]

What this does

Allows to visualize maximum and minimum transformations that could be applied to your dataset given a specified min_max range. Saves three additional filesmin.png, mean.png, and max.png for each transform.

How it was tested

Unit test added : test_visualize_image_transforms.py

pytest tests/test_visualize_image_transforms.py

How to checkout & try? (for the reviewer)

You can run the script on any config parameters. For example

python lerobot/scripts/visualize_image_transforms.py training.image_transforms.contrast=(0.5, 0.5)

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This change is 

[aliberts]

Thanks!
Left one addition for you.
Also, can you add a test for this script?
The test would be:

• 1. Run the script and ensure there are no errors
• 2. Check that the files and folders have been created (in outputs/image_transforms)

[aliberts]

Could you add this one as well?

Suggested change

	# Apply mean transformation
	mean_value = (min_value + max_value) / 2
	kwargs = {
	f"{transform}_weight": cfg[f"{transform}"].weight,
	f"{transform}_min_max": (mean_value, mean_value),
	}
	tf = get_image_transforms(**kwargs)
	transformed_frame = tf(original_frame)
	to_pil(transformed_frame).save(output_dir_single / "mean.png", quality=100)

[marinabar]

f98c9a7 done

[aliberts]

LGTM, thanks!