使用 Scipy 进行图像处理（基本图像调整大小）
SciPy 提供基本的图像处理功能。这些功能包括将图像从磁盘读取到 numpy 数组，将 numpy 数组作为图像写入磁盘以及调整图像大小的功能。
在以下代码中，仅使用一个图像。它被着色，调整大小并保存。原始图像和生成的图像如下所示：
import numpy as np //scipy is numpy-dependent
from scipy.misc import imread, imsave, imresize //image resizing functions
# Read an JPEG image into a numpy array
img = imread('assets/cat.jpg')
print img.dtype, img.shape # Prints "uint8 (400, 248, 3)"
# We can tint the image by scaling each of the color channels
# by a different scalar constant. The image has shape (400, 248, 3);
# we multiply it by the array [1, 0.95, 0.9] of shape (3,);
# numpy broadcasting means that this leaves the red channel unchanged,
# and multiplies the green and blue channels by 0.95 and 0.9
# respectively.
img_tinted = img * [1, 0.95, 0.9]
# Resize the tinted image to be 300 by 300 pixels.
img_tinted = imresize(img_tinted, (300, 300))
# Write the tinted image back to disk
imsave('assets/cat_tinted.jpg', img_tinted)
https://i.stack.imgur.com/K16nx.jpg https://i.stack.imgur.com/RP5UX.jpg
