sq.im.calculate_image_features() - scale factors for cropped image

Description

Hi,
Thank you for the great package. I am having an issue with sq.im.calculate_image_features(), as previously mentioned in #399.
I provide the scale factor when initialising the ImageContainer, as mentioned in #399.
When using an uncropped tif image, I can successfully use sq.im.calculate_image_features(). However, with a cropped image I get the same error as mentioned previously (below).
I'd thought that I may need to re-provide scale factors for the cropped image. Do you have any suggestions about how I'd do this?
Many thanks.

scale = adata.uns['spatial'][f'{SAMPLE_NAME}']['scalefactors']['tissue_hires_scalef']
img = sq.im.ImageContainer('/path_to_tif/img.tif', scale = scale)
crop = img.crop_corner(5000, 3000, size=500)
sq.im.segment(img=crop, 
              layer="image", 
              layer_added="segmented_watershed", 
              method="watershed", 
              channel=0,
              qeq=False)
sq.im.calculate_image_features(
    adata,
    crop,
    layer='image',
    features="segmentation",
    key_added="segmentation_features",
    mask_circle=True)

ValueError: Expected 'height' to be in interval '[0, 500]', found '-4390'.

Version

1.2.3

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