37 lines
1.2 KiB
Python
37 lines
1.2 KiB
Python
import math
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from PIL import ImageOps
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from surya.settings import settings
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def get_total_splits(image_size, height):
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img_height = list(image_size)[1]
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max_height = settings.DETECTOR_IMAGE_CHUNK_HEIGHT
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if img_height > max_height:
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num_splits = math.ceil(img_height / height)
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return num_splits
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return 1
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def split_image(img, height):
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# This will not modify/return the original image - it will either crop, or copy the image
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img_height = list(img.size)[1]
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max_height = settings.DETECTOR_IMAGE_CHUNK_HEIGHT
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if img_height > max_height:
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num_splits = math.ceil(img_height / height)
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splits = []
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split_heights = []
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for i in range(num_splits):
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top = i * height
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bottom = (i + 1) * height
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if bottom > img_height:
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bottom = img_height
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cropped = img.crop((0, top, img.size[0], bottom))
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chunk_height = bottom - top
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if chunk_height < height:
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cropped = ImageOps.pad(cropped, (img.size[0], height), color=255, centering=(0, 0))
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splits.append(cropped)
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split_heights.append(chunk_height)
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return splits, split_heights
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return [img.copy()], [img_height]
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