scipy. misc. imread()

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import scipy.misc
b=scipy.misc.imread('/home/zzp/2.jpg')

scipy.misc.imread（name, flatten=False, mode=None）

read a image from a file as an array Read the picture as array type , namely numpy type

Parameters ：

• name : str or file object.  The file name or file object to be read.
• flatten : bool, optional.   If True, flattens the color layers into a single gray-scale layer.
• mode : str, optional.       Mode to convert image to, e.g. ``'RGB'``.  See the Notes for more details.

Return value ：

•     imread : ndarray. The array obtained by reading the image.

 mode Details ：

`imread` uses the Python Imaging Library (PIL) to read an image.
The following notes are from the PIL documentation.

"""
Notes
-----
`imread` uses the Python Imaging Library (PIL) to read an image.
The following notes are from the PIL documentation.
`mode` can be one of the following strings:
* 'L' (8-bit pixels, black and white)
* 'P' (8-bit pixels, mapped to any other mode using a color palette)
* 'RGB' (3x8-bit pixels, true color)
* 'RGBA' (4x8-bit pixels, true color with transparency mask)
* 'CMYK' (4x8-bit pixels, color separation)
* 'YCbCr' (3x8-bit pixels, color video format)
* 'I' (32-bit signed integer pixels)
* 'F' (32-bit floating point pixels)
PIL also provides limited support for a few special modes, including
'LA' ('L' with alpha), 'RGBX' (true color with padding) and 'RGBa'
(true color with premultiplied alpha).
When translating a color image to black and white (mode 'L', 'I' or
'F'), the library uses the ITU-R 601-2 luma transform::
L = R * 299/1000 + G * 587/1000 + B * 114/1000
When `flatten` is True, the image is converted using mode 'F'.
When `mode` is not None and `flatten` is True, the image is first
converted according to `mode`, and the result is then flattened using
mode 'F'.
"""