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refactor: TabOcr_B30
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@ -1,28 +0,0 @@
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import cv2
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import numpy as np
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from PySide6.QtGui import QImage
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def cv2BgrMatToQImage(mat) -> QImage:
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arr = np.ascontiguousarray(mat)
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return QImage(
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arr.data,
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arr.shape[1],
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arr.shape[0],
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arr.strides[0],
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QImage.Format.Format_RGB888,
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).rgbSwapped()
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def qImageToCvMatBgr(qImg: QImage):
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# from Bing AI, references
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# 1: https://stackoverflow.com/q/384759/16484891 | CC BY-SA 4.0
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# 2: https://stackoverflow.com/q/37552924/16484891 | CC BY-SA 3.0
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qImg = qImg.convertToFormat(QImage.Format.Format_RGB888)
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qImg = qImg.copy().rgbSwapped()
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return np.ndarray(
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(qImg.height(), qImg.width(), 3),
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buffer=qImg.constBits(),
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strides=[qImg.bytesPerLine(), 3, 1],
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dtype=np.uint8,
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)
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