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https://github.com/python-pillow/Pillow.git
synced 2024-12-25 01:16:16 +03:00
Use transposed size after opening for TIFF images
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parent
08d9c89d8a
commit
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@ -49,5 +49,7 @@ def test_copy_zero() -> None:
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@skip_unless_feature("libtiff")
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def test_deepcopy() -> None:
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with Image.open("Tests/images/g4_orientation_5.tif") as im:
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assert im.size == (590, 88)
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out = copy.deepcopy(im)
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assert out.size == (590, 88)
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@ -300,9 +300,7 @@ class TestImageResize:
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im.resize((10, 10), "unknown")
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@skip_unless_feature("libtiff")
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def test_load_first(self) -> None:
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# load() may change the size of the image
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# Test that resize() is calling it before getting the size
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def test_transposed(self) -> None:
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with Image.open("Tests/images/g4_orientation_5.tif") as im:
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im = im.resize((64, 64))
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assert im.size == (64, 64)
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@ -92,15 +92,13 @@ def test_no_resize() -> None:
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@skip_unless_feature("libtiff")
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def test_load_first() -> None:
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# load() may change the size of the image
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# Test that thumbnail() is calling it before performing size calculations
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def test_transposed() -> None:
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with Image.open("Tests/images/g4_orientation_5.tif") as im:
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assert im.size == (590, 88)
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im.thumbnail((64, 64))
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assert im.size == (64, 10)
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# Test thumbnail(), without draft(),
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# on an image that is large enough once load() has changed the size
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with Image.open("Tests/images/g4_orientation_5.tif") as im:
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im.thumbnail((590, 88), reducing_gap=None)
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assert im.size == (590, 88)
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@ -238,8 +238,10 @@ def test_zero_size() -> None:
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@skip_unless_feature("libtiff")
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def test_load_first() -> None:
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def test_transposed() -> None:
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with Image.open("Tests/images/g4_orientation_5.tif") as im:
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assert im.size == (590, 88)
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a = numpy.array(im)
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assert a.shape == (88, 590)
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@ -2332,7 +2332,6 @@ class Image:
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msg = "reducing_gap must be 1.0 or greater"
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raise ValueError(msg)
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self.load()
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if box is None:
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box = (0, 0) + self.size
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@ -2781,27 +2780,18 @@ class Image:
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)
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return x, y
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box = None
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final_size: tuple[int, int]
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if reducing_gap is not None:
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preserved_size = preserve_aspect_ratio()
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if preserved_size is None:
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return
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final_size = preserved_size
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preserved_size = preserve_aspect_ratio()
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if preserved_size is None:
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return
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final_size = preserved_size
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box = None
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if reducing_gap is not None:
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res = self.draft(
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None, (int(size[0] * reducing_gap), int(size[1] * reducing_gap))
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)
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if res is not None:
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box = res[1]
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if box is None:
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self.load()
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# load() may have changed the size of the image
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preserved_size = preserve_aspect_ratio()
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if preserved_size is None:
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return
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final_size = preserved_size
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if self.size != final_size:
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im = self.resize(final_size, resample, box=box, reducing_gap=reducing_gap)
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@ -322,7 +322,7 @@ class ImageFile(Image.Image):
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def load_prepare(self) -> None:
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# create image memory if necessary
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if self._im is None or self.im.mode != self.mode or self.im.size != self.size:
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if self._im is None or self.im.mode != self.mode:
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self.im = Image.core.new(self.mode, self.size)
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# create palette (optional)
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if self.mode == "P":
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@ -1275,6 +1275,11 @@ class TiffImageFile(ImageFile.ImageFile):
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return self._load_libtiff()
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return super().load()
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def load_prepare(self) -> None:
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if self._im is None and self._will_be_transposed:
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self.im = Image.core.new(self.mode, self.size[::-1])
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ImageFile.ImageFile.load_prepare(self)
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def load_end(self) -> None:
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# allow closing if we're on the first frame, there's no next
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# This is the ImageFile.load path only, libtiff specific below.
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@ -1416,7 +1421,16 @@ class TiffImageFile(ImageFile.ImageFile):
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if not isinstance(xsize, int) or not isinstance(ysize, int):
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msg = "Invalid dimensions"
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raise ValueError(msg)
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self._size = xsize, ysize
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self._will_be_transposed = self.tag_v2.get(ExifTags.Base.Orientation) in (
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5,
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6,
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7,
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8,
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)
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if self._will_be_transposed:
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self._size = ysize, xsize
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else:
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self._size = xsize, ysize
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logger.debug("- size: %s", self.size)
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