Python Image.core方法代碼示例

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import core [as 別名]
def _getdecoder(mode, decoder_name, args, extra=()):

    # tweak arguments
    if args is None:
        args = ()
    elif not isinstance(args, tuple):
        args = (args,)

    try:
        decoder = DECODERS[decoder_name]
    except KeyError:
        pass
    else:
        return decoder(mode, *args + extra)

    try:
        # get decoder
        decoder = getattr(core, decoder_name + "_decoder")
    except AttributeError:
        raise OSError("decoder %s not available" % decoder_name)
    return decoder(mode, *args + extra) 

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import core [as 別名]
def _getencoder(mode, encoder_name, args, extra=()):

    # tweak arguments
    if args is None:
        args = ()
    elif not isinstance(args, tuple):
        args = (args,)

    try:
        encoder = ENCODERS[encoder_name]
    except KeyError:
        pass
    else:
        return encoder(mode, *args + extra)

    try:
        # get encoder
        encoder = getattr(core, encoder_name + "_encoder")
    except AttributeError:
        raise OSError("encoder %s not available" % encoder_name)
    return encoder(mode, *args + extra)


# --------------------------------------------------------------------
# Simple expression analyzer 

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import core [as 別名]
def _crop(self, im, box):
        """
        Returns a rectangular region from the core image object im.

        This is equivalent to calling im.crop((x0, y0, x1, y1)), but
        includes additional sanity checks.

        :param im: a core image object
        :param box: The crop rectangle, as a (left, upper, right, lower)-tuple.
        :returns: A core image object.
        """

        x0, y0, x1, y1 = map(int, map(round, box))

        absolute_values = (abs(x1 - x0), abs(y1 - y0))

        _decompression_bomb_check(absolute_values)

        return im.crop((x0, y0, x1, y1)) 

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import core [as 別名]
def blend(im1, im2, alpha):
    """
    Creates a new image by interpolating between two input images, using
    a constant alpha.::

        out = image1 * (1.0 - alpha) + image2 * alpha

    :param im1: The first image.
    :param im2: The second image.  Must have the same mode and size as
       the first image.
    :param alpha: The interpolation alpha factor.  If alpha is 0.0, a
       copy of the first image is returned. If alpha is 1.0, a copy of
       the second image is returned. There are no restrictions on the
       alpha value. If necessary, the result is clipped to fit into
       the allowed output range.
    :returns: An :py:class:`~PIL.Image.Image` object.
    """

    im1.load()
    im2.load()
    return im1._new(core.blend(im1.im, im2.im, alpha)) 

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import core [as 別名]
def handler(data, context):
    """Handle request.

    Args:
        data (obj): the request data
        context (Context): an object containing request and configuration details

    Returns:
        (bytes, string): data to return to client, (optional) response content type
    """

    # use the imported library
    print('pillow: {}\n{}'.format(PIL.__version__, dir(_imaging)))
    processed_input = _process_input(data, context)
    response = requests.post(context.rest_uri, data=processed_input)
    return _process_output(response, context) 

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import core [as 別名]
def _getdecoder(mode, decoder_name, args, extra=()):

    # tweak arguments
    if args is None:
        args = ()
    elif not isinstance(args, tuple):
        args = (args,)

    try:
        decoder = DECODERS[decoder_name]
        return decoder(mode, *args + extra)
    except KeyError:
        pass
    try:
        # get decoder
        decoder = getattr(core, decoder_name + "_decoder")
        return decoder(mode, *args + extra)
    except AttributeError:
        raise IOError("decoder %s not available" % decoder_name) 

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import core [as 別名]
def _getencoder(mode, encoder_name, args, extra=()):

    # tweak arguments
    if args is None:
        args = ()
    elif not isinstance(args, tuple):
        args = (args,)

    try:
        encoder = ENCODERS[encoder_name]
        return encoder(mode, *args + extra)
    except KeyError:
        pass
    try:
        # get encoder
        encoder = getattr(core, encoder_name + "_encoder")
        return encoder(mode, *args + extra)
    except AttributeError:
        raise IOError("encoder %s not available" % encoder_name)


# --------------------------------------------------------------------
# Simple expression analyzer 

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import core [as 別名]
def test_render_scale1(self):
        # We need png support for these render test
        codecs = dir(Image.core)
        if "zip_encoder" not in codecs or "zip_decoder" not in codecs:
            self.skipTest("zip/deflate support not available")

        # Zero bounding box
        image1_scale1 = Image.open(file1)
        image1_scale1.load()
        image1_scale1_compare = Image.open(file1_compare).convert("RGB")
        image1_scale1_compare.load()
        self.assert_image_similar(image1_scale1, image1_scale1_compare, 5)

        # Non-Zero bounding box
        image2_scale1 = Image.open(file2)
        image2_scale1.load()
        image2_scale1_compare = Image.open(file2_compare).convert("RGB")
        image2_scale1_compare.load()
        self.assert_image_similar(image2_scale1, image2_scale1_compare, 10) 

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import core [as 別名]
def test_render_scale2(self):
        # We need png support for these render test
        codecs = dir(Image.core)
        if "zip_encoder" not in codecs or "zip_decoder" not in codecs:
            self.skipTest("zip/deflate support not available")

        # Zero bounding box
        image1_scale2 = Image.open(file1)
        image1_scale2.load(scale=2)
        image1_scale2_compare = Image.open(file1_compare_scale2).convert("RGB")
        image1_scale2_compare.load()
        self.assert_image_similar(image1_scale2, image1_scale2_compare, 5)

        # Non-Zero bounding box
        image2_scale2 = Image.open(file2)
        image2_scale2.load(scale=2)
        image2_scale2_compare = Image.open(file2_compare_scale2).convert("RGB")
        image2_scale2_compare.load()
        self.assert_image_similar(image2_scale2, image2_scale2_compare, 10) 

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import core [as 別名]
def test_ifd_rational_save(self):
        methods = (True, False)
        if 'libtiff_encoder' not in dir(Image.core):
            methods = (False,)

        for libtiff in methods:
            TiffImagePlugin.WRITE_LIBTIFF = libtiff

            im = hopper()
            out = self.tempfile('temp.tiff')
            res = IFDRational(301, 1)
            im.save(out, dpi=(res, res), compression='raw')

            reloaded = Image.open(out)
            self.assertEqual(float(IFDRational(301, 1)),
                             float(reloaded.tag_v2[282])) 

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import core [as 別名]
def test_load_raw(self):

        # Test basic EMF open and rendering
        im = Image.open('Tests/images/drawing.emf')
        if hasattr(Image.core, "drawwmf"):
            # Currently, support for WMF/EMF is Windows-only
            im.load()
            # Compare to reference rendering
            imref = Image.open('Tests/images/drawing_emf_ref.png')
            imref.load()
            self.assert_image_similar(im, imref, 0)

        # Test basic WMF open and rendering
        im = Image.open('Tests/images/drawing.wmf')
        if hasattr(Image.core, "drawwmf"):
            # Currently, support for WMF/EMF is Windows-only
            im.load()
            # Compare to reference rendering
            imref = Image.open('Tests/images/drawing_wmf_ref.png')
            imref.load()
            self.assert_image_similar(im, imref, 2.0) 

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import core [as 別名]
def test_gimp_tiff(self):
        # Read TIFF JPEG images from GIMP [@PIL168]

        codecs = dir(Image.core)
        if "jpeg_decoder" not in codecs:
            self.skipTest("jpeg support not available")

        filename = "Tests/images/pil168.tif"
        im = Image.open(filename)

        self.assertEqual(im.mode, "RGB")
        self.assertEqual(im.size, (256, 256))
        self.assertEqual(
            im.tile, [('jpeg', (0, 0, 256, 256), 0, ('RGB', 'jpeg', False))]
        )
        im.load()

        self.assert_image_equal_tofile(im, "Tests/images/pil168.png") 

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import core [as 別名]
def test_split_open(self):
        codecs = dir(Image.core)

        if 'zip_encoder' in codecs:
            test_file = self.tempfile("temp.png")
        else:
            test_file = self.tempfile("temp.pcx")

        def split_open(mode):
            hopper(mode).save(test_file)
            im = Image.open(test_file)
            return len(im.split())
        self.assertEqual(split_open("1"), 1)
        self.assertEqual(split_open("L"), 1)
        self.assertEqual(split_open("P"), 1)
        self.assertEqual(split_open("RGB"), 3)
        if 'zip_encoder' in codecs:
            self.assertEqual(split_open("RGBA"), 4) 

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import core [as 別名]
def test_leak_load(self):
        with open('Tests/images/hopper.png', 'rb') as f:
            DATA = BytesIO(f.read(16 * 1024))

        ImageFile.LOAD_TRUNCATED_IMAGES = True
        with Image.open(DATA) as im:
            im.load()

        def core():
            with Image.open(DATA) as im:
                im.load()

        try:
            self._test_leak(core)
        finally:
            ImageFile.LOAD_TRUNCATED_IMAGES = False 

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import core [as 別名]
def close(self):
        """
        Closes the file pointer, if possible.

        This operation will destroy the image core and release its memory.
        The image data will be unusable afterward.

        This function is only required to close images that have not
        had their file read and closed by the
        :py:meth:`~PIL.Image.Image.load` method. See
        :ref:`file-handling` for more information.
        """
        try:
            if hasattr(self, "_close__fp"):
                self._close__fp()
            self.fp.close()
            self.fp = None
        except Exception as msg:
            logger.debug("Error closing: %s", msg)

        if getattr(self, "map", None):
            self.map = None

        # Instead of simply setting to None, we're setting up a
        # deferred error that will better explain that the core image
        # object is gone.
        self.im = deferred_error(ValueError("Operation on closed image"))