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读图片 str or file object-- ndarray

scipy.ndimage. imread ( *args , **kwds )

imread is deprecated! imread is deprecated in SciPy 1.0.0, and will be removed in 1.2.0. Use imageio.imread instead.

1.2.0版本用 imageio.imread 代替

Read an image from a file as an array. 从文件中把图片读成数组

This function is only available if Python Imaging Library (PIL) is installed. 该功能只在安装了 PIL情况下使用

fname : str or file object

The file name or file object to be read.

flatten : bool, optional

If True, flattens (扁平化) the color layers into a single gray-scale (灰度) layer.

将彩色层转化成单个灰度层

mode : str, optional

Mode to convert image to, e.g. 'RGB' . See the Notes for more details.

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’.

调整图片尺寸 ndarray-- ndarray

scipy.misc.imresize ( *args , **kwds )

imresize is deprecated! imresize is deprecated in SciPy 1.0.0, and will be removed in 1.2.0. Use skimage.transform.resize instead.

imresize 功能将在 1.2.0版本中,被 skimage.transform.resize 取代

Resize an image. 调整图片大小

This function is only available if Python Imaging Library (PIL) is installed. 该功能只在安装了 PIL情况下使用

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).

如果是 None, 'L', 'P', 'l 模式之一 该函数使用 bytescale 在底层调整图片,到 (0, 255) 全范围内 。并在默认模式 mode=None 计算二维图片的 32位( uint32 )数据。

The array of image to be resized.

size : int, float or tuple

· int - Percentage of current size.

· float - Fraction of current size.

· tuple - Size of the output image (height, width).

interp : str, optional

Interpolation to use for re-sizing ( ‘nearest’ (最近邻插值) , ‘lanczos’ lanczos兰佐斯 interpolation) , ‘bilinear (双线性插值) ’, ‘bicubic’ (双三次插值) or ‘cubic’ (三次样条插值) ).

mode : str, optional

The PIL image mode (‘P’, ‘L’, etc.) to convert arr before resizing. If mode=None (the default), 2-D images will be treated like mode='L' , i.e. casting to long integer. For 3-D and 4-D arrays, mode will be set to 'RGB' and 'RGBA' respectively.

解决ImportError: umap.plot requires pandas matplotlib datashader bokeh holoviews scikit-image and colo
解决ImportError: umap.plot requires pandas matplotlib datashader bokeh holoviews scikit-image and colo