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Found the image and the problem: to display this 'success' notification I check if the side length is < required side length as returned by model - note I check the length of the first dimension only. For non-square/non-cube images, i.e something with shape (364, 500, 500), if the L target is, say, 464 i.e (464, 464, 464), then 364 < 464 -> success notification.
To fix I either need to always check the smallest dimension in the image, or explicitly check if the percent error returned by model < percent error specified by user
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