Python ImageFilter.SMOOTH屬性代碼示例

# 需要導入模塊: from PIL import ImageFilter [as 別名]
# 或者: from PIL.ImageFilter import SMOOTH [as 別名]
def smooth(image):
        return image.filter(ImageFilter.SMOOTH) 

# 需要導入模塊: from PIL import ImageFilter [as 別名]
# 或者: from PIL.ImageFilter import SMOOTH [as 別名]
def imfilter(arr,ftype):
    """
    Simple filtering of an image.

    Parameters
    ----------
    arr : ndarray
        The array of Image in which the filter is to be applied.
    ftype : str
        The filter that has to be applied. Legal values are:
        'blur', 'contour', 'detail', 'edge_enhance', 'edge_enhance_more',
        'emboss', 'find_edges', 'smooth', 'smooth_more', 'sharpen'.

    Returns
    -------
    imfilter : ndarray
        The array with filter applied.

    Raises
    ------
    ValueError
        *Unknown filter type.*  If the filter you are trying
        to apply is unsupported.

    """
    _tdict = {'blur':ImageFilter.BLUR,
              'contour':ImageFilter.CONTOUR,
              'detail':ImageFilter.DETAIL,
              'edge_enhance':ImageFilter.EDGE_ENHANCE,
              'edge_enhance_more':ImageFilter.EDGE_ENHANCE_MORE,
              'emboss':ImageFilter.EMBOSS,
              'find_edges':ImageFilter.FIND_EDGES,
              'smooth':ImageFilter.SMOOTH,
              'smooth_more':ImageFilter.SMOOTH_MORE,
              'sharpen':ImageFilter.SHARPEN
              }

    im = toimage(arr)
    if ftype not in _tdict:
        raise ValueError("Unknown filter type.")
    return fromimage(im.filter(_tdict[ftype])) 

# 需要導入模塊: from PIL import ImageFilter [as 別名]
# 或者: from PIL.ImageFilter import SMOOTH [as 別名]
def test_sanity(self):

        def filter(filter):
            for mode in ["L", "RGB", "CMYK"]:
                im = hopper(mode)
                out = im.filter(filter)
                self.assertEqual(out.mode, im.mode)
                self.assertEqual(out.size, im.size)

        filter(ImageFilter.BLUR)
        filter(ImageFilter.CONTOUR)
        filter(ImageFilter.DETAIL)
        filter(ImageFilter.EDGE_ENHANCE)
        filter(ImageFilter.EDGE_ENHANCE_MORE)
        filter(ImageFilter.EMBOSS)
        filter(ImageFilter.FIND_EDGES)
        filter(ImageFilter.SMOOTH)
        filter(ImageFilter.SMOOTH_MORE)
        filter(ImageFilter.SHARPEN)
        filter(ImageFilter.MaxFilter)
        filter(ImageFilter.MedianFilter)
        filter(ImageFilter.MinFilter)
        filter(ImageFilter.ModeFilter)
        filter(ImageFilter.GaussianBlur)
        filter(ImageFilter.GaussianBlur(5))
        filter(ImageFilter.BoxBlur(5))
        filter(ImageFilter.UnsharpMask)
        filter(ImageFilter.UnsharpMask(10))

        self.assertRaises(TypeError, filter, "hello") 

# 需要導入模塊: from PIL import ImageFilter [as 別名]
# 或者: from PIL.ImageFilter import SMOOTH [as 別名]
def test_crash(self):

        # crashes on small images
        im = Image.new("RGB", (1, 1))
        im.filter(ImageFilter.SMOOTH)

        im = Image.new("RGB", (2, 2))
        im.filter(ImageFilter.SMOOTH)

        im = Image.new("RGB", (3, 3))
        im.filter(ImageFilter.SMOOTH) 

# 需要導入模塊: from PIL import ImageFilter [as 別名]
# 或者: from PIL.ImageFilter import SMOOTH [as 別名]
def imfilter(arr, ftype):
    """
    Simple filtering of an image.

    Parameters
    ----------
    arr : ndarray
        The array of Image in which the filter is to be applied.
    ftype : str
        The filter that has to be applied. Legal values are:
        'blur', 'contour', 'detail', 'edge_enhance', 'edge_enhance_more',
        'emboss', 'find_edges', 'smooth', 'smooth_more', 'sharpen'.

    Returns
    -------
    imfilter : ndarray
        The array with filter applied.

    Raises
    ------
    ValueError
        *Unknown filter type.*  If the filter you are trying
        to apply is unsupported.

    """
    _tdict = {'blur': ImageFilter.BLUR,
              'contour': ImageFilter.CONTOUR,
              'detail': ImageFilter.DETAIL,
              'edge_enhance': ImageFilter.EDGE_ENHANCE,
              'edge_enhance_more': ImageFilter.EDGE_ENHANCE_MORE,
              'emboss': ImageFilter.EMBOSS,
              'find_edges': ImageFilter.FIND_EDGES,
              'smooth': ImageFilter.SMOOTH,
              'smooth_more': ImageFilter.SMOOTH_MORE,
              'sharpen': ImageFilter.SHARPEN
              }

    im = toimage(arr)
    if ftype not in _tdict:
        raise ValueError("Unknown filter type.")
    return fromimage(im.filter(_tdict[ftype])) 

# 需要導入模塊: from PIL import ImageFilter [as 別名]
# 或者: from PIL.ImageFilter import SMOOTH [as 別名]
def smooth(im, k=3):
	return im.filter(ImageFilter.SMOOTH) 

# 需要導入模塊: from PIL import ImageFilter [as 別名]
# 或者: from PIL.ImageFilter import SMOOTH [as 別名]
def generate_image(self, chars):
        """Generate the image of the given characters.

        :param chars: text to be generated.
        """
        background = random_color(238, 255)
        color = random_color(10, 200, random.randint(220, 255))
        im = self.create_captcha_image(chars, color, background)
        self.create_noise_dots(im, color)
        self.create_noise_curve(im, color)
        im = im.filter(ImageFilter.SMOOTH)
        return im 

# 需要導入模塊: from PIL import ImageFilter [as 別名]
# 或者: from PIL.ImageFilter import SMOOTH [as 別名]
def smooth(im, k=3):
    return im.filter(ImageFilter.SMOOTH) 

# 需要導入模塊: from PIL import ImageFilter [as 別名]
# 或者: from PIL.ImageFilter import SMOOTH [as 別名]
def FilterImage(image, filter_name):
    """Applies an arbitrary filtering to a PIL image. Note that this does not
    work for two-byte images.

    Input:
        image               a PIL image as 8-bit RGB or grayscale.
        filter_name         name of the filter to be applied. Choices are
                            "NONE", "BLUR", "CONTOUR", "DETAIL" ,"EDGE_ENHANCE",
                            "EDGE_ENHANCE_MORE", "EMBOSS", "FIND_EDGES",
                            "SMOOTH", "SMOOTH_MORE", "SHARPEN", "MEDIAN_3",
                            "MEDIAN_5", "MEDIAN_7", "MINIMUM_3", "MINIMUM_5",
                            "MINIMUM_7" ,"MAXIMUM_3", "MAXIMUM_5", and
                            "MAXIMUM_7".

    Return:                 a pointer to the filtered image.
    """

    if type(image) == list:
        raise ValueError("filtering of 2-byte images is not supported")

    # Look up filter method
    if filter:
        filter_method = FILTER_DICT[filter_name.upper()]
    else:
        filter_method = None

    # Apply filter if necessary
    if filter_method: image = image.filter(filter_method)

    return image

################################################################################
# Re-size a PIL image
################################################################################ 

# 需要導入模塊: from PIL import ImageFilter [as 別名]
# 或者: from PIL.ImageFilter import SMOOTH [as 別名]
def imfilter(arr, ftype):
    """
    Simple filtering of an image.

    This function is only available if Python Imaging Library (PIL) is installed.

    .. warning::

        This function uses `bytescale` under the hood to rescale images to use
        the full (0, 255) range if ``mode`` is one of ``None, 'L', 'P', 'l'``.
        It will also cast data for 2-D images to ``uint32`` for ``mode=None``
        (which is the default).

    Parameters
    ----------
    arr : ndarray
        The array of Image in which the filter is to be applied.
    ftype : str
        The filter that has to be applied. Legal values are:
        'blur', 'contour', 'detail', 'edge_enhance', 'edge_enhance_more',
        'emboss', 'find_edges', 'smooth', 'smooth_more', 'sharpen'.

    Returns
    -------
    imfilter : ndarray
        The array with filter applied.

    Raises
    ------
    ValueError
        *Unknown filter type.*  If the filter you are trying
        to apply is unsupported.

    """
    _tdict = {'blur': ImageFilter.BLUR,
              'contour': ImageFilter.CONTOUR,
              'detail': ImageFilter.DETAIL,
              'edge_enhance': ImageFilter.EDGE_ENHANCE,
              'edge_enhance_more': ImageFilter.EDGE_ENHANCE_MORE,
              'emboss': ImageFilter.EMBOSS,
              'find_edges': ImageFilter.FIND_EDGES,
              'smooth': ImageFilter.SMOOTH,
              'smooth_more': ImageFilter.SMOOTH_MORE,
              'sharpen': ImageFilter.SHARPEN
              }

    im = toimage(arr)
    if ftype not in _tdict:
        raise ValueError("Unknown filter type.")
    return fromimage(im.filter(_tdict[ftype]))