opencv、jupyter安装

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机器学习的相关环境

Python安装opencv

  • 使用pip3安装，输入命令： pip3 install opencv-python

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    C:\Users\yangxuan>pip3 install opencv-python
    Collecting opencv-python
      Downloading opencv_python-3.2.0.7-cp35-cp35m-win_amd64.whl (22.2MB)
    Requirement already satisfied: numpy>=1.11.1 in f:\python35\lib\site-packages (from opencv-python)
    Installing collected packages: opencv-python
    Successfully installed opencv-python-3.2.0.7

  • 测试一下

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    import cv2

    def opencv_test1():
        img = cv2.imread("C:/Users/yangxuan/Desktop/Anne.png")
        cv2.imshow("lena",img)
        cv2.waitKey(10000)
        pass

    在这里写描述

    ​

Python 安装 jupyter notebook

  • 使用pip3安装，输入命令： pip3 install jupyter

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    C:\Users\yangxuan>pip3 install jupyter
    Collecting jupyter
      Downloading jupyter-1.0.0-py2.py3-none-any.whl
    Collecting ipykernel (from jupyter)
    ...

  • 运行，输入命令： jupyter notebook

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    C:\Users\yangxuan>jupyter notebook
    [I 12:02:55.955 NotebookApp] Writing notebook server cookie secret to C:\Users\yangxuan\AppData\Roam
    ing\jupyter\runtime\notebook_cookie_secret
    [I 12:02:56.164 NotebookApp] Serving notebooks from local directory: C:\Users\yangxuan
    [I 12:02:56.164 NotebookApp] 0 active kernels
    [I 12:02:56.165 NotebookApp] The Jupyter Notebook is running at: http://localhost:8888/?token=fc8dfd
    294977fac49f5b8bc23021d2557e372ab76df6c1ab
    [I 12:02:56.165 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to s
    kip confirmation).
    [C 12:02:56.166 NotebookApp]

        Copy/paste this URL into your browser when you connect for the first time,
        to login with a token:
            http://localhost:8888/?token=fc8dfd294977fac49f5b8bc23021d2557e372ab76df6c1ab
    [I 12:02:57.382 NotebookApp] Accepting one-time-token-authenticated connection from ::1

    这里写图片描述

指定 jupyter notebook 的启动目录

  • cd到对应的目录下，运行命令 jupyter notebook 即可，为了以后方便，制作一个windows的快捷脚本 startup_jupyter.bat

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    h:
    cd H:\Git_repository\z_mywiki\jupyter
    jupyter notebook

    然后双击一下既可以启动

    这里写图片描述

jupyter 上使用 matplotlib

  • 直接运行 matplotlib 相关的代码不会在 jupyter 中绘制图案，需要先运行一次命令 %matplotlib inline ，才能显示出图案。（只需运行一次，后面多个代码段都无需运行，运行快捷键： Shift + Enter ）

    测试一下代码：

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    import os
    import matplotlib.pyplot as plt
    import numpy as np

    def matplot_test1():
        x = np.arange(20)
        y = x**2
        plt.plot(x, y)
        plt.show()
        pass

    matplot_test1()

    这里写图片描述

jupyter 快捷键

jupyter快捷键