Python Image.BILINEAR Examples

The following are 7 code examples of Image.BILINEAR(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module Image , or try the search function .
Example #1
Source File: transforms.py    From Qualia2.0 with MIT License 5 votes vote down vote up 
def __init__(self, size, interpolation=Image.BILINEAR):
        self.size = size
        self.interpolation = interpolation
Example #2
Source File: ImageOps.py    From mxnet-lambda with Apache License 2.0 5 votes vote down vote up 
def deform(image, deformer, resample=Image.BILINEAR):
    "Deform image using the given deformer"
    return image.transform(
        image.size, Image.MESH, deformer.getmesh(image), resample
        )

##
# Equalize the image histogram.  This function applies a non-linear
# mapping to the input image, in order to create a uniform
# distribution of grayscale values in the output image.
#
# @param image The image to equalize.
# @param mask An optional mask.  If given, only the pixels selected by
#     the mask are included in the analysis.
# @return An image.
Example #3
Source File: base.py    From adminset with GNU General Public License v2.0 5 votes vote down vote up 
def _img_rotate(self, im, target, degree, bgcolor = '#ffffff', destformat = None):
        """
        Rotate image. The ``degree`` argument is measured clock-wise.
        """
        #rotated = im.convert('RGBA').rotate(angle=360-degree)
        alpha = Image.new('RGBA', im.size, bgcolor)
        alpha.paste(im)
        rotated = alpha.rotate(angle=360-degree, resample=Image.BILINEAR)
        
        bg = Image.new('RGBA', im.size, bgcolor)
        result = Image.composite(rotated, bg, rotated)
        self._saveimage(result, target, destformat if destformat else im.format)
Example #4
Source File: ImageOps.py    From CNCGToolKit with MIT License 5 votes vote down vote up 
def deform(image, deformer, resample=Image.BILINEAR):
    "Deform image using the given deformer"
    return image.transform(
        image.size, Image.MESH, deformer.getmesh(image), resample
        )

##
# Equalize the image histogram.  This function applies a non-linear
# mapping to the input image, in order to create a uniform
# distribution of grayscale values in the output image.
#
# @param image The image to equalize.
# @param mask An optional mask.  If given, only the pixels selected by
#     the mask are included in the analysis.
# @return An image.
Example #5
Source File: transforms.py    From deep-learning-from-scratch-3 with MIT License 5 votes vote down vote up 
def __init__(self, size, mode=Image.BILINEAR):
        self.size = pair(size)
        self.mode = mode
Example #6
Source File: base.py    From webterminal with GNU General Public License v3.0 5 votes vote down vote up 
def _img_rotate(self, im, target, degree, bgcolor = '#ffffff', destformat = None):
        """
        Rotate image. The ``degree`` argument is measured clock-wise.
        """
        #rotated = im.convert('RGBA').rotate(angle=360-degree)
        alpha = Image.new('RGBA', im.size, bgcolor)
        alpha.paste(im)
        rotated = alpha.rotate(angle=360-degree, resample=Image.BILINEAR)
        
        bg = Image.new('RGBA', im.size, bgcolor)
        result = Image.composite(rotated, bg, rotated)
        self._saveimage(result, target, destformat if destformat else im.format)
Example #7
Source File: ImageOps.py    From keras-lambda with MIT License 5 votes vote down vote up 
def deform(image, deformer, resample=Image.BILINEAR):
    "Deform image using the given deformer"
    return image.transform(
        image.size, Image.MESH, deformer.getmesh(image), resample
        )

##
# Equalize the image histogram.  This function applies a non-linear
# mapping to the input image, in order to create a uniform
# distribution of grayscale values in the output image.
#
# @param image The image to equalize.
# @param mask An optional mask.  If given, only the pixels selected by
#     the mask are included in the analysis.
# @return An image.