本文整理汇总了Python中Image.isImageType方法的典型用法代码示例。如果您正苦于以下问题：Python Image.isImageType方法的具体用法？Python Image.isImageType怎么用？Python Image.isImageType使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Image的用法示例。
在下文中一共展示了Image.isImageType方法的4个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: fromimage
# 需要导入模块: import Image [as 别名]
# 或者: from Image import isImageType [as 别名]
def fromimage(im, flatten=0):
"""
Return a copy of a PIL image as a numpy array.
Parameters
----------
im : PIL image
Input image.
flatten : bool
If true, convert the output to grey-scale.
Returns
-------
fromimage : ndarray
The different colour bands/channels are stored in the
third dimension, such that a grey-image is MxN, an
RGB-image MxNx3 and an RGBA-image MxNx4.
"""
if not Image.isImageType(im):
raise TypeError("Input is not a PIL image.")
if flatten:
im = im.convert('F')
elif im.mode == '1':
# workaround for crash in PIL, see #1613.
im.convert('L')
return array(im) 示例2: fromimage
# 需要导入模块: import Image [as 别名]
# 或者: from Image import isImageType [as 别名]
def fromimage(im, flatten=False, mode=None):
"""
Return a copy of a PIL image as a numpy array.
Parameters
----------
im : PIL image
Input image.
flatten : bool
If true, convert the output to grey-scale.
mode : str, optional
Mode to convert image to, e.g. ``'RGB'``. See the Notes of the
`imread` docstring for more details.
Returns
-------
fromimage : ndarray
The different colour bands/channels are stored in the
third dimension, such that a grey-image is MxN, an
RGB-image MxNx3 and an RGBA-image MxNx4.
"""
if not Image.isImageType(im):
raise TypeError("Input is not a PIL image.")
if mode is not None:
if mode != im.mode:
im = im.convert(mode)
elif im.mode == 'P':
# Mode 'P' means there is an indexed "palette". If we leave the mode
# as 'P', then when we do `a = array(im)` below, `a` will be a 2-D
# containing the indices into the palette, and not a 3-D array
# containing the RGB or RGBA values.
if 'transparency' in im.info:
im = im.convert('RGBA')
else:
im = im.convert('RGB')
if flatten:
im = im.convert('F')
elif im.mode == '1':
# Workaround for crash in PIL. When im is 1-bit, the call array(im)
# can cause a seg. fault, or generate garbage. See
# https://github.com/scipy/scipy/issues/2138 and
# https://github.com/python-pillow/Pillow/issues/350.
#
# This converts im from a 1-bit image to an 8-bit image.
im = im.convert('L')
a = array(im)
return a 示例3: fromimage
# 需要导入模块: import Image [as 别名]
# 或者: from Image import isImageType [as 别名]
def fromimage(im, flatten=False, mode=None):
"""
Return a copy of a PIL image as a numpy array.
This function is only available if Python Imaging Library (PIL) is installed.
Parameters
----------
im : PIL image
Input image.
flatten : bool
If true, convert the output to grey-scale.
mode : str, optional
Mode to convert image to, e.g. ``'RGB'``. See the Notes of the
`imread` docstring for more details.
Returns
-------
fromimage : ndarray
The different colour bands/channels are stored in the
third dimension, such that a grey-image is MxN, an
RGB-image MxNx3 and an RGBA-image MxNx4.
"""
if not Image.isImageType(im):
raise TypeError("Input is not a PIL image.")
if mode is not None:
if mode != im.mode:
im = im.convert(mode)
elif im.mode == 'P':
# Mode 'P' means there is an indexed "palette". If we leave the mode
# as 'P', then when we do `a = array(im)` below, `a` will be a 2-D
# containing the indices into the palette, and not a 3-D array
# containing the RGB or RGBA values.
if 'transparency' in im.info:
im = im.convert('RGBA')
else:
im = im.convert('RGB')
if flatten:
im = im.convert('F')
elif im.mode == '1':
# Workaround for crash in PIL. When im is 1-bit, the call array(im)
# can cause a seg. fault, or generate garbage. See
# https://github.com/scipy/scipy/issues/2138 and
# https://github.com/python-pillow/Pillow/issues/350.
#
# This converts im from a 1-bit image to an 8-bit image.
im = im.convert('L')
a = array(im)
return a 示例4: fromimage
# 需要导入模块: import Image [as 别名]
# 或者: from Image import isImageType [as 别名]
def fromimage(im, flatten=False, mode=None):
"""
Return a copy of a PIL image as a numpy array.
This function is only available if Python Imaging Library (PIL) is installed.
Parameters
----------
im : PIL image
Input image.
flatten : bool
If true, convert the output to grey-scale.
mode : str, optional
Mode to convert image to, e.g. ``'RGB'``. See the Notes of the
`imread` docstring for more details.
Returns
-------
fromimage : ndarray
The different colour bands/channels are stored in the
third dimension, such that a grey-image is MxN, an
RGB-image MxNx3 and an RGBA-image MxNx4.
"""
if not pillow_installed:
raise ImportError("The Python Imaging Library (PIL) "
"is required to load data from jpeg files")
if not Image.isImageType(im):
raise TypeError("Input is not a PIL image.")
if mode is not None:
if mode != im.mode:
im = im.convert(mode)
elif im.mode == 'P':
# Mode 'P' means there is an indexed "palette". If we leave the mode
# as 'P', then when we do `a = array(im)` below, `a` will be a 2-D
# containing the indices into the palette, and not a 3-D array
# containing the RGB or RGBA values.
if 'transparency' in im.info:
im = im.convert('RGBA')
else:
im = im.convert('RGB')
if flatten:
im = im.convert('F')
elif im.mode == '1':
# Workaround for crash in PIL. When im is 1-bit, the call array(im)
# can cause a seg. fault, or generate garbage. See
# https://github.com/scipy/scipy/issues/2138 and
# https://github.com/python-pillow/Pillow/issues/350.
#
# This converts im from a 1-bit image to an 8-bit image.
im = im.convert('L')
a = array(im)
return a