Python Image.isImageType() Examples
The following are 7
code examples of Image.isImageType().
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Example #1
| Source File: pilutil.py From Computable with MIT License | 5 votes |
|
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)
Example #2
| Source File: pilutil.py From aetros-cli with MIT License | 4 votes |
|
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
Example #3
| Source File: pilutil.py From lambda-packs with MIT License | 4 votes |
|
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
Example #4
| Source File: _pilutil.py From Mastering-Elasticsearch-7.0 with MIT License | 4 votes |
|
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
Example #5
| Source File: pilutil.py From GraphicDesignPatternByPython with MIT License | 4 votes |
|
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
Example #6
| Source File: image.py From Fruit-API with GNU General Public License v3.0 | 4 votes |
|
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
Example #7
| Source File: pilutil.py From Splunking-Crime with GNU Affero General Public License v3.0 | 4 votes |
|
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
