Comments (2)
Using the sample image from #4059 and the image from https://assets-tt-com.nmo.at/im-content/images/3b6073d7-d32f-53a2-8c09-544729a6d408, which are both 4032x3024 landscape images, I see exactly the same extract_area: bad extract area
error when using both of the provided code samples you've provided.
This is the expected behaviour.
Both code samples take a 4032 wide x 3024 high landscape image as input, auto-orient it by rotating 90 degrees to create a 3024 wide x 4032 high portrait image, then correctly fail to extract an image with a width of 3583 pixels from an image of 3024 pixels wide.
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oh, you are right, I was looking for the problem at the wrong point...
Just for context:
We are actually getting the extraction areas as percentages and need to do the area calculation ourselves. Therefore we first do a rotate()
, then are fetching metadata()
and do the calculation of the extract area regarding to the fetched metadata.
We did not take to account that the sharpStream.metadata()
function still returns the original width
and height
with orientation
set - we are trying to extract something that is not there..
Thank you for your input!
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