python skimage库的安装
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
aaarticlea/png;base64,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" alt="" />
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 numpy‑1.13.3+mkl‑cp27‑cp27m‑win32.whl
pip install scipy‑1.0.0‑cp27‑cp27m‑win32.whl
pip install scikit_image‑0.13.1‑cp27‑cp27m‑win32.whl
aaarticlea/png;base64,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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~
python skimage库的安装的更多相关文章
- python第三方库自动安装脚本
#python第三方库自动安装脚本,需要在cmd中运行此脚本#BatchInstall.pyimport oslibs = {"numpy","matplotlib&qu ...
- windows下python常用库的安装
windows下python常用库的安装,前提安装了annaconda 的python开发环境.只要已经安装了anaconda,要安装别的库就很简单了.只要使用pip即可,正常安装好python,都会 ...
- Python 各种库的安装
在Win7 系统安装的Python 各种库,如:pandas.numpy.scipy等 因为平时使用的是IDE-PyCharm,这里可以直接 [File-Setting-Project:XXX-“+” ...
- Python 第三方库的安装
1. pip 进入命令行,使用 pip install pip install numpy 2. 含有 setup.py 文件的第三方库 切换到 setup.py 所在的目录: python setu ...
- python skimage库HOG特征提取原码解读
Hog特征+SVM常用来做行人检测. opencv中也有Hog特征提取的原码,但是由于原码不是用python写的,而skimage用python实现了,所以就解读的skimage的代码. 先看用ski ...
- 3、python第三方库的安装方式
在学习Python过程中,经常要用到很多第三方库,面对各种不同情况,Python为我们提供了多种安装方法,这里主要介绍三种 方法:pycharm在线安装.pip在线安装(强烈推荐).离线安装. 方式一 ...
- python第三方库的安装pip的使用与换源(解决pip下载速度慢)
python和其他语言一样,也有大量的第三方库 在安装python时默认都会安装pip,安装了pip后 在cmd.exe下可以运行pip 安装库 pip install 库的名字 换源 因为PyPi地 ...
- 关于python请求库Selenium安装所遇到的问题
今天,初次接触python,在网上买了一本关于爬虫的书,因为之前电脑上存在python,所以就对着书直接进行的请求库的安装,安装的时候,主要遇到了下边一个问题,在安装Selenium的时候,出现以下提 ...
- Python第三方库的安装方法总结
源码安装 很多第三方库都是开源的,几乎都可以在github 或者 pypi上找到源码.找到源码格式大概都是 zip . tar.zip. tar.bz2格式的压缩包.解压这些包,进入解压好的文件夹,通 ...
随机推荐
- python线程的条件变量Condition的用法实例
Condition 对象就是条件变量,它总是与某种锁相关联,可以是外部传入的锁或是系统默认创建的锁.当几个条件变量共享一个锁时,你就应该自己传入一个锁.这个锁不需要你操心,Condition 类会 ...
- pyqt5-下拉框联动效果
from PyQt5.Qt import * class MyWindow(QWidget): def __init__(self): super().__init__() self.setWindo ...
- HTML5视频(自定义视频播放器源码)
video对象 兼容情况: safari浏览器不支持webm格式 Chrome浏览器支持webm格式 ie8以及以下不支持video标签 , ie9支持video标签 ,但是支持mp4格式的 Fire ...
- 【BZOJ 1022】 [SHOI2008]小约翰的游戏John(Anti_SG)
Description 小约翰经常和他的哥哥玩一个非常有趣的游戏:桌子上有n堆石子,小约翰和他的哥哥轮流取石子,每个人取 的时候,可以随意选择一堆石子,在这堆石子中取走任意多的石子,但不能一粒石子也不 ...
- Cloud保存时提示消息是否保存,点是保存,点否不保存。
业务场景:保存时,检查上游的销售出库单数量,和发货通知单数量是否一致,不一致时提示信息,点是则保存,点否不保存. using System;using System.Collections.Gener ...
- 【终端使用】常用Linux命令的基本使用
常用Linux命令的基本使用: 命令 对应英文 作用 ls list 查看当前文件夹下的内容 pwd print work directory 查看当前所在的文件夹 cd [目录名] change d ...
- 一个简易git服务器的搭建
查看本机ssh公钥,生成公钥 查看ssh公钥方法: 1. 打开git bash窗口 2. 进入.ssh目录: cd ~/.ssh 3. 找到id_rsa.pub文件: ls 4. 查看公钥:cat i ...
- 用友UAP NC 单据新增时业务单元不能带出问题处理
用户需求新建一个主子表单据,由于刚从63环境升级到65环境,所以对于 65环境走单据流程生成节 点出的错误不了解. 直接建了集团级的主子表单据后,实施说需要的是业务单元级的主子表单据,跟用友开发沟通后 ...
- PHP目录操作(附封装好的目录操作函数文件)
目录函数库常用API $path='test'; var_dump(is_dir($path));//检测是否为目录 echo '<hr/>'; echo getcwd();//得到当前的 ...
- @Configuration@Bean
https://blog.csdn.net/u014199143/article/details/80692685 @Configuation等价于<Beans></Beans> ...