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Merge pull request #574 from wiredfool/convert_trns
Indexed Transparency handled for conversions between L, RGB, and P modes
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wiredfool
commit
6e2075e25d
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@ -4,6 +4,12 @@ Changelog (Pillow)
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2.4.0 (unreleased)
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------------------
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- Indexed Transparency handled for conversions between L, RGB, and P modes. Fixes #510
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[wiredfool]
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- Conversions enabled from RGBA->P, Fixes #544
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[wiredfool]
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- Improved icns support
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[al45tair]
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82
PIL/Image.py
82
PIL/Image.py
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@ -735,21 +735,65 @@ class Image:
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im = self.im.convert_matrix(mode, matrix)
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return self._new(im)
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if mode == "P" and self.mode == "RGBA":
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return self.quantize(colors)
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trns = None
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delete_trns = False
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# transparency handling
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if "transparency" in self.info and self.info['transparency'] is not None:
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if self.mode in ('L', 'RGB') and mode == 'RGBA':
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# Use transparent conversion to promote from transparent
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# color to an alpha channel.
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return self._new(self.im.convert_transparent(
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mode, self.info['transparency']))
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elif self.mode in ('L', 'RGB', 'P') and mode in ('L', 'RGB', 'P'):
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t = self.info['transparency']
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if isinstance(t, bytes):
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# Dragons. This can't be represented by a single color
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warnings.warn('Palette images with Transparency expressed '+
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' in bytes should be converted to RGBA images')
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delete_trns = True
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else:
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# get the new transparency color.
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# use existing conversions
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trns_im = Image()._new(core.new(self.mode, (1,1)))
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if self.mode == 'P':
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trns_im.putpalette(self.palette)
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trns_im.putpixel((0,0), t)
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if mode in ('L','RGB'):
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trns_im = trns_im.convert(mode)
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else:
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# can't just retrieve the palette number, got to do it
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# after quantization.
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trns_im = trns_im.convert('RGB')
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trns = trns_im.getpixel((0,0))
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if mode == "P" and palette == ADAPTIVE:
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im = self.im.quantize(colors)
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new = self._new(im)
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from PIL import ImagePalette
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new.palette = ImagePalette.raw("RGB", new.im.getpalette("RGB"))
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if delete_trns:
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# This could possibly happen if we requantize to fewer colors.
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# The transparency would be totally off in that case.
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del(new.info['transparency'])
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if trns is not None:
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try:
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new.info['transparency'] = new.palette.getcolor(trns)
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except:
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# if we can't make a transparent color, don't leave the old
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# transparency hanging around to mess us up.
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del(new.info['transparency'])
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warnings.warn("Couldn't allocate palette entry for transparency")
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return new
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# colorspace conversion
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if dither is None:
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dither = FLOYDSTEINBERG
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# Use transparent conversion to promote from transparent color to an alpha channel.
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if self.mode in ("L", "RGB") and mode == "RGBA" and "transparency" in self.info:
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return self._new(self.im.convert_transparent(mode, self.info['transparency']))
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try:
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im = self.im.convert(mode, dither)
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except ValueError:
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@ -760,9 +804,22 @@ class Image:
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except KeyError:
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raise ValueError("illegal conversion")
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return self._new(im)
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new_im = self._new(im)
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if delete_trns:
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#crash fail if we leave a bytes transparency in an rgb/l mode.
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del(new.info['transparency'])
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if trns is not None:
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if new_im.mode == 'P':
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try:
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new_im.info['transparency'] = new_im.palette.getcolor(trns)
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except:
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del(new_im.info['transparency'])
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warnings.warn("Couldn't allocate palette entry for transparency")
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else:
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new_im.info['transparency'] = trns
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return new_im
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def quantize(self, colors=256, method=0, kmeans=0, palette=None):
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def quantize(self, colors=256, method=None, kmeans=0, palette=None):
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# methods:
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# 0 = median cut
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@ -773,7 +830,18 @@ class Image:
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# quantizer interface in a later version of PIL.
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self.load()
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if method is None:
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# defaults:
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method = 0
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if self.mode == 'RGBA':
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method = 2
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if self.mode == 'RGBA' and method != 2:
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# Caller specified an invalid mode.
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raise ValueError('Fast Octree (method == 2) is the ' +
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' only valid method for quantizing RGBA images')
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if palette:
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# use palette from reference image
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palette.load()
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@ -46,5 +46,67 @@ def test_16bit_workaround():
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im = Image.open('Tests/images/16bit.cropped.tif')
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_test_float_conversion(im.convert('I'))
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def test_rgba_p():
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im = lena('RGBA')
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im.putalpha(lena('L'))
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converted = im.convert('P')
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comparable = converted.convert('RGBA')
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assert_image_similar(im, comparable, 20)
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def test_trns_p():
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im = lena('P')
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im.info['transparency']=0
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f = tempfile('temp.png')
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l = im.convert('L')
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assert_equal(l.info['transparency'], 0) # undone
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assert_no_exception(lambda: l.save(f))
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rgb = im.convert('RGB')
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assert_equal(rgb.info['transparency'], (0,0,0)) # undone
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assert_no_exception(lambda: rgb.save(f))
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def test_trns_l():
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im = lena('L')
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im.info['transparency'] = 128
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f = tempfile('temp.png')
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rgb = im.convert('RGB')
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assert_equal(rgb.info['transparency'], (128,128,128)) # undone
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assert_no_exception(lambda: rgb.save(f))
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p = im.convert('P')
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assert_true('transparency' in p.info)
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assert_no_exception(lambda: p.save(f))
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p = assert_warning(UserWarning,
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lambda: im.convert('P', palette = Image.ADAPTIVE))
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assert_false('transparency' in p.info)
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assert_no_exception(lambda: p.save(f))
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def test_trns_RGB():
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im = lena('RGB')
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im.info['transparency'] = im.getpixel((0,0))
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f = tempfile('temp.png')
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l = im.convert('L')
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assert_equal(l.info['transparency'], l.getpixel((0,0))) # undone
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assert_no_exception(lambda: l.save(f))
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p = im.convert('P')
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assert_true('transparency' in p.info)
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assert_no_exception(lambda: p.save(f))
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p = assert_warning(UserWarning,
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lambda: im.convert('P', palette = Image.ADAPTIVE))
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assert_false('transparency' in p.info)
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assert_no_exception(lambda: p.save(f))
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@ -19,4 +19,9 @@ def test_octree_quantize():
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im = im.quantize(100, Image.FASTOCTREE)
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assert_image(im, "P", im.size)
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assert len(im.getcolors()) == 100
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assert len(im.getcolors()) == 100
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def test_rgba_quantize():
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im = lena('RGBA')
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assert_no_exception(lambda: im.quantize())
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assert_exception(Exception, lambda: im.quantize(method=0))
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@ -121,9 +121,9 @@ def assert_no_exception(func):
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def assert_warning(warn_class, func):
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# note: this assert calls func three times!
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import warnings
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def warn_error(message, category, **options):
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def warn_error(message, category=UserWarning, **options):
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raise category(message)
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def warn_ignore(message, category, **options):
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def warn_ignore(message, category=UserWarning, **options):
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pass
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warn = warnings.warn
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result = None
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