window anacoda环境搭载(安装opencv,测试spyder,安装tensorflow)

骑猪看日落 2022-02-03 05:07 235阅读 0赞

1，anacoda3.5.3.1下载：  
[https://www.anaconda.com/distribution/][https_www.anaconda.com_distribution]

下载python3.7 version  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwMDA4MzI1_size_16_color_FFFFFF_t_70]  
安装完后测试：  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwMDA4MzI1_size_16_color_FFFFFF_t_70 1]  
测试python:  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwMDA4MzI1_size_16_color_FFFFFF_t_70 2]测试spyder:  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwMDA4MzI1_size_16_color_FFFFFF_t_70 3]

2，安装 opencv  
conda install -c [https://conda.anaconda.org/menpo][https_conda.anaconda.org_menpo] opencv3

方法二：  
下载路径：[https://www.lfd.uci.edu/~gohlke/pythonlibs/][https_www.lfd.uci.edu_gohlke_pythonlibs]  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwMDA4MzI1_size_16_color_FFFFFF_t_70 4]  
下载opencv\_python-3.4.6-cp37-cp37m-win\_amd64.whl  
然后移植到\\usrs\\1433下：  
![在这里插入图片描述][20190530192923532.PNG]

记忆两个比较实用的conda的命令，安装和更新包：  
conda install numpy=1.9.3  
conda update numpy=1.9.3

测试python\_opencv  
[新建jpg.py][jpg.py]

import cv2 as cv
    src=cv.imread('7.jpg') 
    scale = 0.4      
    src1 = cv.resize(src,(400, 300))
    cv.namedWindow('input_image', cv.WINDOW_AUTOSIZE)
    cv.imshow('input_image', src1)
    cv.waitKey(0)
    cv.destroyAllWindows()

效果图如下：  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwMDA4MzI1_size_16_color_FFFFFF_t_70 5]  
3,安装tensflow

1,先进入 cmd,输入anaconda Prompt
    a,查看Anaconda已经安装了哪些包
    conda list
    b,安装python3.7
    conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
    conda config --set show_channel_urls yes
    c,tensflow
    conda create -n tensorflow python=3.5

方法二：  
（1）打开Anacoda prompt  
(2) pip install tensorflow  
测试tensorflow  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwMDA4MzI1_size_16_color_FFFFFF_t_70 6]

[https_www.anaconda.com_distribution]: https://www.anaconda.com/distribution/
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwMDA4MzI1_size_16_color_FFFFFF_t_70]: /images/20220203/4b78b835ba89457d9d8fab7ae51f519a.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwMDA4MzI1_size_16_color_FFFFFF_t_70 1]: /images/20220203/bf1a912da08244f6a3b4553fa73c131d.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwMDA4MzI1_size_16_color_FFFFFF_t_70 2]: /images/20220203/e922ebfd3d58496894507e3f67acf212.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwMDA4MzI1_size_16_color_FFFFFF_t_70 3]: /images/20220203/88cef76ca73441428aa076ff233d87a5.png
[https_conda.anaconda.org_menpo]: https://conda.anaconda.org/menpo
[https_www.lfd.uci.edu_gohlke_pythonlibs]: https://www.lfd.uci.edu/~gohlke/pythonlibs/
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwMDA4MzI1_size_16_color_FFFFFF_t_70 4]: /images/20220203/5e2cfa5983364c4e8971c1329b7231dd.png
[20190530192923532.PNG]: /images/20220203/98cfcee3fcc14acaa4a101fa2297a90e.png
[jpg.py]: http://xn--jpg-e82f890a.py
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwMDA4MzI1_size_16_color_FFFFFF_t_70 5]: /images/20220203/73ad27b2731d4431becbc0d7ffd1aa0b.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwMDA4MzI1_size_16_color_FFFFFF_t_70 6]: /images/20220203/b9298e8b034747d181c217119a5b5c08.png