70 lines
2.7 KiB
Python
70 lines
2.7 KiB
Python
# Copyright 2016 Hardcoded Software (http://www.hardcoded.net)
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#
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# This software is licensed under the "GPLv3" License as described in the "LICENSE" file,
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# which should be included with this package. The terms are also available at
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# http://www.gnu.org/licenses/gpl-3.0.html
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import logging
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from PyQt5.QtGui import QImage, QImageReader, QTransform
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from core.pe.photo import Photo as PhotoBase
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from .block import getblocks
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class File(PhotoBase):
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def _plat_get_dimensions(self):
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try:
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ir = QImageReader(str(self.path))
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size = ir.size()
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if size.isValid():
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return (size.width(), size.height())
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else:
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return (0, 0)
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except EnvironmentError:
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logging.warning("Could not read image '%s'", str(self.path))
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return (0, 0)
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def _plat_get_blocks(self, block_count_per_side, orientation):
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image = QImage(str(self.path))
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image = image.convertToFormat(QImage.Format_RGB888)
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if type(orientation) != int:
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logging.warning(
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"Orientation for file '%s' was a %s '%s', not an int.", str(self.path), type(orientation), orientation
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)
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try:
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orientation = int(orientation)
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except Exception as e:
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logging.exception(
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"Skipping transformation because could not convert %s to int. %s",
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type(orientation),
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e,
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)
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return getblocks(image, block_count_per_side)
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# MYSTERY TO SOLVE: For reasons I cannot explain, orientations 5 and 7 don't work for
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# duplicate scanning. The transforms seems to work fine (if I try to save the image after
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# the transform, we see that the image has been correctly flipped and rotated), but the
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# analysis part yields wrong blocks. I spent enought time with this feature, so I'll leave
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# like that for now. (by the way, orientations 5 and 7 work fine under Cocoa)
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if 2 <= orientation <= 8:
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t = QTransform()
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if orientation == 2:
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t.scale(-1, 1)
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elif orientation == 3:
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t.rotate(180)
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elif orientation == 4:
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t.scale(1, -1)
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elif orientation == 5:
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t.scale(-1, 1)
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t.rotate(90)
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elif orientation == 6:
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t.rotate(90)
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elif orientation == 7:
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t.scale(-1, 1)
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t.rotate(270)
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elif orientation == 8:
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t.rotate(270)
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image = image.transformed(t)
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return getblocks(image, block_count_per_side)
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