July 2019
Intermediate to advanced
365 pages
8h 13m
Chinese
Content preview from Python机器学习手册：从数据预处理到深度学习
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127
第 8 章
图像处理
8.0
简介
图像分类是机器学习中最令人兴奋的领域之一。从图像中识别出图案和物体的能力是机
器学习算法的一种非常强大的能力。然而，在将机器学习算法应用于图像之前，通常需
要先将原始图像转换为算法可用的特征。
我们将使用开源计算机视觉库（
OpenCV
）来处理图像。虽然有许多优秀的图像处理库，
但
OpenCV
最流行，其文档也是最详细的。使用
OpenCV
时最大的障碍之一就是安装。
然而幸运的是，如果使用
Python 3
（在本书出版时
OpenCV
还不能与
Python 3.6
以上的
版本一起使用），就可以使用
Anaconda
的包管理器工具
conda
来安装
OpenCV
，只需要
在终端中执行下面这一行命令即可 ：
conda install --channel https://conda.anaconda.org/menpoopencv3
之后，可以打开一个记事本，导入
OpenCV
并检查版本号（
3.1.0
），以查看
OpenCV
的
安装情况 ：
import cv2
cv2.__version__
如果使用
conda
安装
OpenCV
时遇到问题，在网络上可以找到很多教程。
本章将使用一组示例图像，你可以从
GitHub
下载这些数据（
https://github.com/
chrisalbon/simulated_datasets
）。
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