skimage库需要依赖 numpy+mkl 和scipy

1、打开运行,输入cmd回车,输入python回车,查看python版本

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2、在https://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy中,根据自己python版本下载需要的包

(因为我的是python 2.7.13 win32,所以我下的是下面三个)

numpy‑1.13.3+mkl‑cp27‑cp27m‑win32.whl

scipy‑1.0.0‑cp27‑cp27m‑win32.whl

scikit_image‑0.13.1‑cp27‑cp27m‑win32.whl

4、将下载的文件放到Python安装目录下的Scripts目录下

x:\Python xx\Scripts

5、在cmd中打开Scripts目录,输入下面命令,用python的pip工具依次安装(pip需安装了wheel

pip install scipy‑1.0.0‑cp27‑cp27m‑win32.whl

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" alt="" />

6、在python中输入“ import skimage ”, 验证安装是否成功

aaarticlea/png;base64,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" alt="" />

7、测试一下

python :

# --- coding:UTF-8 ---
from skimage import io
import matplotlib.pyplot as plt
img=io.imread('1539.jpg')
io.imshow(img)
plt.show()

----------------------------------------------------------------分割线---------------------------------------------------------

ps:萌新一枚,本文纯为学习笔记,以防某日犯傻忘记--。如有不妥处,望大佬们赐教~

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