目录

一、开发工具下载

二、安装过程

三、检测安装成功

四、安装LabelMe环境


一、开发工具下载

官网下载地址:https://www.anaconda.com/products/individual

滑动至网页底部

二、安装过程

  1. 双击下载好的安装文件

2. 点击【Next】进行安装

3. 点击【I Agree】

4.选择用户安装(仅为当前登录账号安装)-点击下一步

5. 选择安装路径(可以使用默认地址:如果C盘比较小,建议安装到其他盘符)
6.默认安装到C盘,不用做任何修改:安装的文件目录会默认隐藏

(默认安装请忽略下方自定义安装)

【自定义安装目录操作 一 】选择其他硬盘位置安装(创建安装文件夹的路径目录)

【自定义安装目录操作 二 】点击按钮【Browse...】进行安装文件目录选择 点击确认

【自定义安装目录操作 三 】 安装目录更换成功点击【Next】

![image-20200806105535531](https://gitee.com/mmrliu/uPicImage/raw/master/uPic/202008/image-20200806105535531.png)勾选安装PATH配置环境变量 勾选作为默认Python开发环境

7.开始加载安装 -需要等待一段时间(安装速度根据电脑性能而定)

8.加载完成 - 点击【Next】

9.点击下一步

10.安装完成:取消默认勾选的两个选择框

三、检测安装成功

1.Win+R 按键 、 输入cmd点击确定或敲击回车键

2.输入Python 敲击回车键 ,如果能够显示已经安装的Python环境,证明成功。

3.点击【Windows】菜单键 - 查看Anaconda工具安装

四、安装LabelMe环境

附加步骤:配置国内镜像地址

1.设置国内镜像(国外镜像下载地址太慢 - 顺利情况下也需要好几个小时时间)

北京外国语大学开源软件镜像站

命令:

C:Usersliushuaitao>conda config --add channels https://mirrors.bfsu.edu.cn/anaconda/cloud/pytorch/
C:Usersliushuaitao>conda config --set show_channel_urls yes #配置生效
C:Usersliushuaitao>conda config --show #查看配置情况

操作如下:

检查配置成功:

开始安装Lableme

  1. 在程序中找到【Anaconda Navigator】点击启动程序

2.点击左边的菜单中选择【Environments】点击【base(root)】菜单右边箭头,选择【open terminal】选项,打开命令行

3.使用输入名称 创建一个Python3.8环境

命令:conda create --name=labelme python=3.8

4.输入y 回车

5.创建成功

6.使用如下命令 - 切换到刚刚创建的labelme中

命令:conda activate labelme

7.使用如下命令:安装pyqt5 (依赖工具包 然后才能安装labelme)

命令:conda install pyqt5 或 pip install PyQt5

(安装速度太慢 - 可以选择本地安装:下载地址:https://pypi.org/project/PyQt5/#files)

7.1 从pypi官网下载 pyqt5 然后进行本地安装

pip命令:pip install C:UsersliushuaitaoDesktopPyQt5-5.15.0-5.15.0-cp35.cp36.cp37.cp38-none-win_amd64.whl

8.使用如下命令:安装labelme

命令:pip install labelme

9.使用如下命令启动labelme
命令:labelme

启动效果图:如下

大功告成


Mac 版本安装

Last login: Sun Aug  9 01:43:24 on ttys000
liushuaitao@bogon ~ % . /Users/liushuaitao/opt/anaconda3/bin/activate && conda activate /Users/liushuaitao/opt/anaconda3;
(base) liushuaitao@bogon ~ % conda create --name=labelme python=3.8
Collecting package metadata (current_repodata.json): done
Solving environment: done## Package Plan ##environment location: /Users/liushuaitao/opt/anaconda3/envs/labelmeadded / updated specs:- python=3.8The following NEW packages will be INSTALLED:ca-certificates    pkgs/main/osx-64::ca-certificates-2020.6.24-0certifi            pkgs/main/osx-64::certifi-2020.6.20-py38_0libcxx             pkgs/main/osx-64::libcxx-10.0.0-1libedit            pkgs/main/osx-64::libedit-3.1.20191231-h1de35cc_1libffi             pkgs/main/osx-64::libffi-3.3-hb1e8313_2ncurses            pkgs/main/osx-64::ncurses-6.2-h0a44026_1openssl            pkgs/main/osx-64::openssl-1.1.1g-h1de35cc_0pip                pkgs/main/osx-64::pip-20.2.1-py38_0python             pkgs/main/osx-64::python-3.8.5-h26836e1_0readline           pkgs/main/osx-64::readline-8.0-h1de35cc_0setuptools         pkgs/main/osx-64::setuptools-49.2.1-py38_0sqlite             pkgs/main/osx-64::sqlite-3.32.3-hffcf06c_0tk                 pkgs/main/osx-64::tk-8.6.10-hb0a8c7a_0wheel              pkgs/main/osx-64::wheel-0.34.2-py38_0xz                 pkgs/main/osx-64::xz-5.2.5-h1de35cc_0zlib               pkgs/main/osx-64::zlib-1.2.11-h1de35cc_3Proceed ([y]/n)? yPreparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
#     $ conda activate labelme
#
# To deactivate an active environment, use
#
#     $ conda deactivate(base) liushuaitao@bogon ~ % conda activate labelme
(labelme) liushuaitao@bogon ~ % pip install /Users/liushuaitao/Desktop/PyQt5-5.15.0-5.15.0-cp35.cp36.cp37.cp38-abi3-macosx_10_6_intel.whl
Processing ./Desktop/PyQt5-5.15.0-5.15.0-cp35.cp36.cp37.cp38-abi3-macosx_10_6_intel.whl
Collecting PyQt5-sip<13,>=12.8Using cached PyQt5_sip-12.8.0-cp38-cp38-macosx_10_9_x86_64.whl (63 kB)
Installing collected packages: PyQt5-sip, PyQt5
Successfully installed PyQt5-5.15.0 PyQt5-sip-12.8.0
(labelme) liushuaitao@bogon ~ % pip install labelme
Processing ./Library/Caches/pip/wheels/5a/0d/a8/7012260a1f1589abe857e76a6313cb440c8f34b8a26cf45267/labelme-4.5.6-py3-none-any.whl
Collecting numpyUsing cached numpy-1.19.1-cp38-cp38-macosx_10_9_x86_64.whl (15.3 MB)
Processing ./Library/Caches/pip/wheels/a0/16/9c/5473df82468f958445479c59e784896fa24f4a5fc024b0f501/termcolor-1.1.0-py3-none-any.whl
Processing ./Library/Caches/pip/wheels/2e/95/0e/bf1567775e87d9ceb1504f7dc5ab07c699ddfc4c774fb79008/imgviz-1.2.2-py3-none-any.whl
Collecting qtpyUsing cached QtPy-1.9.0-py2.py3-none-any.whl (54 kB)
Collecting Pillow>=2.8.0Using cached Pillow-7.2.0-cp38-cp38-macosx_10_10_x86_64.whl (2.2 MB)
Processing ./Library/Caches/pip/wheels/13/90/db/290ab3a34f2ef0b5a0f89235dc2d40fea83e77de84ed2dc05c/PyYAML-5.3.1-cp38-cp38-macosx_10_9_x86_64.whl
Collecting matplotlibUsing cached matplotlib-3.3.0-1-cp38-cp38-macosx_10_9_x86_64.whl (11.4 MB)
Collecting cycler>=0.10Using cached cycler-0.10.0-py2.py3-none-any.whl (6.5 kB)
Collecting python-dateutil>=2.1Using cached python_dateutil-2.8.1-py2.py3-none-any.whl (227 kB)
Collecting kiwisolver>=1.0.1Using cached kiwisolver-1.2.0-cp38-cp38-macosx_10_9_x86_64.whl (60 kB)
Collecting pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3Using cached pyparsing-2.4.7-py2.py3-none-any.whl (67 kB)
Collecting sixUsing cached six-1.15.0-py2.py3-none-any.whl (10 kB)
Installing collected packages: numpy, termcolor, six, cycler, Pillow, python-dateutil, kiwisolver, pyparsing, matplotlib, PyYAML, imgviz, qtpy, labelme
Successfully installed Pillow-7.2.0 PyYAML-5.3.1 cycler-0.10.0 imgviz-1.2.2 kiwisolver-1.2.0 labelme-4.5.6 matplotlib-3.3.0 numpy-1.19.1 pyparsing-2.4.7 python-dateutil-2.8.1 qtpy-1.9.0 six-1.15.0 termcolor-1.1.0
(labelme) liushuaitao@bogon ~ % labelme
[INFO   ] __init__:get_config:70 - Loading config file from: /Users/liushuaitao/.labelmerc
(labelme) liushuaitao@bogon ~ %
(base) C:Usersliushuaitao>conda activate labelme(labelme) C:Usersliushuaitao>pip install C:UsersliushuaitaoDesktopPyQt5-5.15.0-5.15.0-cp35.cp36.cp37.cp38-none-win_amd64.whl
Processing c:usersliushuaitaodesktoppyqt5-5.15.0-5.15.0-cp35.cp36.cp37.cp38-none-win_amd64.whl
Collecting PyQt5-sip<13,>=12.8Downloading PyQt5_sip-12.8.0-cp38-cp38-win_amd64.whl (63 kB)|████████████████████████████████| 63 kB 7.2 kB/s
Installing collected packages: PyQt5-sip, PyQt5
Successfully installed PyQt5-5.15.0 PyQt5-sip-12.8.0(labelme) C:Usersliushuaitao>pip install labelme
Collecting labelmeDownloading labelme-4.5.6.tar.gz (1.5 MB)|████████████████████████████████| 1.5 MB 30 kB/s
Collecting imgviz>=0.11.0Downloading imgviz-1.2.2.tar.gz (7.7 MB)|████████████████████████████████| 7.7 MB 16 kB/sInstalling build dependencies ... doneGetting requirements to build wheel ... donePreparing wheel metadata ... done
Collecting matplotlibDownloading matplotlib-3.3.0-cp38-cp38-win_amd64.whl (8.8 MB)|████████████████████████████████| 8.8 MB 25 kB/s
Collecting numpyDownloading numpy-1.19.1-cp38-cp38-win_amd64.whl (13.0 MB)|████████████████████████████████| 13.0 MB 29 kB/s
Collecting Pillow>=2.8.0Downloading Pillow-7.2.0-cp38-cp38-win_amd64.whl (2.1 MB)|████████████████████████████████| 2.1 MB 20 kB/s
Collecting PyYAMLDownloading PyYAML-5.3.1-cp38-cp38-win_amd64.whl (219 kB)|████████████████████████████████| 219 kB 30 kB/s
Collecting qtpyDownloading QtPy-1.9.0-py2.py3-none-any.whl (54 kB)|████████████████████████████████| 54 kB 32 kB/s
Collecting termcolorDownloading termcolor-1.1.0.tar.gz (3.9 kB)
Collecting coloramaDownloading colorama-0.4.3-py2.py3-none-any.whl (15 kB)
Collecting pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3Downloading pyparsing-2.4.7-py2.py3-none-any.whl (67 kB)|████████████████████████████████| 67 kB 41 kB/s
Collecting kiwisolver>=1.0.1Downloading kiwisolver-1.2.0-cp38-none-win_amd64.whl (58 kB)|████████████████████████████████| 58 kB 21 kB/s
Collecting python-dateutil>=2.1Downloading python_dateutil-2.8.1-py2.py3-none-any.whl (227 kB)|████████████████████████████████| 227 kB 17 kB/s
Collecting cycler>=0.10Downloading cycler-0.10.0-py2.py3-none-any.whl (6.5 kB)
Collecting six>=1.5Downloading six-1.15.0-py2.py3-none-any.whl (10 kB)
Building wheels for collected packages: labelme, imgviz, termcolorBuilding wheel for labelme (setup.py) ... doneCreated wheel for labelme: filename=labelme-4.5.6-py3-none-any.whl size=1464603 sha256=4e8b713de06c4403e6ae6c342e5a5e8991aa47b94aed780a9be074218cf22401Stored in directory: c:usersliushuaitaoappdatalocalpipcachewheels5a0da87012260a1f1589abe857e76a6313cb440c8f34b8a26cf45267Building wheel for imgviz (PEP 517) ... doneCreated wheel for imgviz: filename=imgviz-1.2.2-py3-none-any.whl size=7673803 sha256=99a2fd94db19e11bfc57490b2bbb38b525a5a0f821f110149512b1387cb7972aStored in directory: c:usersliushuaitaoappdatalocalpipcachewheels2e950ebf1567775e87d9ceb1504f7dc5ab07c699ddfc4c774fb79008Building wheel for termcolor (setup.py) ... doneCreated wheel for termcolor: filename=termcolor-1.1.0-py3-none-any.whl size=4835 sha256=b0993d6409f813cd103f4e8bdd673c624905d08d1e8cbfe67c1ad419e317c91dStored in directory: c:usersliushuaitaoappdatalocalpipcachewheelsa0169c5473df82468f958445479c59e784896fa24f4a5fc024b0f501
Successfully built labelme imgviz termcolor
Installing collected packages: PyYAML, Pillow, numpy, pyparsing, kiwisolver, six, python-dateutil, cycler, matplotlib, imgviz, qtpy, termcolor, colorama, labelme
Successfully installed Pillow-7.2.0 PyYAML-5.3.1 colorama-0.4.3 cycler-0.10.0 imgviz-1.2.2 kiwisolver-1.2.0 labelme-4.5.6 matplotlib-3.3.0 numpy-1.19.1 pyparsing-2.4.7 python-dateutil-2.8.1 qtpy-1.9.0 six-1.15.0 termcolor-1.1.0(labelme) C:Usersliushuaitao>labelme
[INFO   ] __init__:get_config:70 - Loading config file from: C:Usersliushuaitao.labelmerc

Window版本下载

(base) C:Usersliushuaitao>conda activate labelme(labelme) C:Usersliushuaitao>pip install C:UsersliushuaitaoDesktopPyQt5-5.15.0-5.15.0-cp35.cp36.cp37.cp38-none-win_amd64.whl
Processing c:usersliushuaitaodesktoppyqt5-5.15.0-5.15.0-cp35.cp36.cp37.cp38-none-win_amd64.whl
Collecting PyQt5-sip<13,>=12.8Downloading PyQt5_sip-12.8.0-cp38-cp38-win_amd64.whl (63 kB)|████████████████████████████████| 63 kB 7.2 kB/s
Installing collected packages: PyQt5-sip, PyQt5
Successfully installed PyQt5-5.15.0 PyQt5-sip-12.8.0(labelme) C:Usersliushuaitao>pip install labelme
Collecting labelmeDownloading labelme-4.5.6.tar.gz (1.5 MB)|████████████████████████████████| 1.5 MB 30 kB/s
Collecting imgviz>=0.11.0Downloading imgviz-1.2.2.tar.gz (7.7 MB)|████████████████████████████████| 7.7 MB 16 kB/sInstalling build dependencies ... doneGetting requirements to build wheel ... donePreparing wheel metadata ... done
Collecting matplotlibDownloading matplotlib-3.3.0-cp38-cp38-win_amd64.whl (8.8 MB)|████████████████████████████████| 8.8 MB 25 kB/s
Collecting numpyDownloading numpy-1.19.1-cp38-cp38-win_amd64.whl (13.0 MB)|████████████████████████████████| 13.0 MB 29 kB/s
Collecting Pillow>=2.8.0Downloading Pillow-7.2.0-cp38-cp38-win_amd64.whl (2.1 MB)|████████████████████████████████| 2.1 MB 20 kB/s
Collecting PyYAMLDownloading PyYAML-5.3.1-cp38-cp38-win_amd64.whl (219 kB)|████████████████████████████████| 219 kB 30 kB/s
Collecting qtpyDownloading QtPy-1.9.0-py2.py3-none-any.whl (54 kB)|████████████████████████████████| 54 kB 32 kB/s
Collecting termcolorDownloading termcolor-1.1.0.tar.gz (3.9 kB)
Collecting coloramaDownloading colorama-0.4.3-py2.py3-none-any.whl (15 kB)
Collecting pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3Downloading pyparsing-2.4.7-py2.py3-none-any.whl (67 kB)|████████████████████████████████| 67 kB 41 kB/s
Collecting kiwisolver>=1.0.1Downloading kiwisolver-1.2.0-cp38-none-win_amd64.whl (58 kB)|████████████████████████████████| 58 kB 21 kB/s
Collecting python-dateutil>=2.1Downloading python_dateutil-2.8.1-py2.py3-none-any.whl (227 kB)|████████████████████████████████| 227 kB 17 kB/s
Collecting cycler>=0.10Downloading cycler-0.10.0-py2.py3-none-any.whl (6.5 kB)
Collecting six>=1.5Downloading six-1.15.0-py2.py3-none-any.whl (10 kB)
Building wheels for collected packages: labelme, imgviz, termcolorBuilding wheel for labelme (setup.py) ... doneCreated wheel for labelme: filename=labelme-4.5.6-py3-none-any.whl size=1464603 sha256=4e8b713de06c4403e6ae6c342e5a5e8991aa47b94aed780a9be074218cf22401Stored in directory: c:usersliushuaitaoappdatalocalpipcachewheels5a0da87012260a1f1589abe857e76a6313cb440c8f34b8a26cf45267Building wheel for imgviz (PEP 517) ... doneCreated wheel for imgviz: filename=imgviz-1.2.2-py3-none-any.whl size=7673803 sha256=99a2fd94db19e11bfc57490b2bbb38b525a5a0f821f110149512b1387cb7972aStored in directory: c:usersliushuaitaoappdatalocalpipcachewheels2e950ebf1567775e87d9ceb1504f7dc5ab07c699ddfc4c774fb79008Building wheel for termcolor (setup.py) ... doneCreated wheel for termcolor: filename=termcolor-1.1.0-py3-none-any.whl size=4835 sha256=b0993d6409f813cd103f4e8bdd673c624905d08d1e8cbfe67c1ad419e317c91dStored in directory: c:usersliushuaitaoappdatalocalpipcachewheelsa0169c5473df82468f958445479c59e784896fa24f4a5fc024b0f501
Successfully built labelme imgviz termcolor
Installing collected packages: PyYAML, Pillow, numpy, pyparsing, kiwisolver, six, python-dateutil, cycler, matplotlib, imgviz, qtpy, termcolor, colorama, labelme
Successfully installed Pillow-7.2.0 PyYAML-5.3.1 colorama-0.4.3 cycler-0.10.0 imgviz-1.2.2 kiwisolver-1.2.0 labelme-4.5.6 matplotlib-3.3.0 numpy-1.19.1 pyparsing-2.4.7 python-dateutil-2.8.1 qtpy-1.9.0 six-1.15.0 termcolor-1.1.0(labelme) C:Usersliushuaitao>labelme
[INFO   ] __init__:get_config:70 - Loading config file from: C:Usersliushuaitao.labelmerc

附加补充图:

anaconda3配置环境变量_Python:Anaconda安装及LabelMe配置(1)相关推荐

  1. Windows10 JDK9安装及配置环境变量与Eclipse安装

    一 下载JDK9 http://www.oracle.com/technetwork/java/javase/downloads/jdk9-downloads-3848520.html 选择版本,系统 ...

  2. python2.7配置环境变量_Python安装与环境变量的配置

    python下载: 根据实际的操作系统,安装合适的安装版本. Python安装: 本文以python 2.7.8(64位)为例说明,具体安装步骤如下: 1.双击下载包,进入Python安装向导. 2. ...

  3. 添加java环境变量_【安装 JDK】 配置环境变量

    看完这章后你会学习到以下内容: WIN64位电脑,如何配置JAVA环境? 常见的问题要如何解决? 第一步: 在任意浏览器输入"JDK下载"并找到官网 第二步:进入选择所需要的版本. ...

  4. mysql80配置环境变量_MySQL:安装与配置

    一.MySQL安装 0.下载社区版安装包 1.进入安装页面,这里不选择默认安装的所有工具,仅选择Server only. 2.如果没有VC++环境就点击execute安装,已安装就继续下一步. 3.安 ...

  5. node安装、配置环境变量以及cnpm 安装

    1.下载node.js(本人版本 14.16.1) 下载地址:Node.js 2. 安装时一键next即可,注意修改下文件安装路径 3. 检查是否安装成功 3.1 node -v 查看node的版本 ...

  6. CentOS7中通过二进制文件与配置环境变量的方式安装Node

    场景 Node官网下载地址: Download | Node.js 下载64位二进制文件. 注: 博客: BADAO_LIUMANG_QIZHI的博客_霸道流氓气质_CSDN博客-C#,SpringB ...

  7. macbook配置java环境变量_如何安装Java和配置环境变量

    本文是Java下载.安装.环境变量配置的具体步骤,关于环境变量的原理参阅: Java轻松入门经典教程-环境变量配置​ke.qq.com Java年构架师技术栈/微服务/源码分析/分布式/高并发/性能优 ...

  8. Anaconda 3 配置环境变量(搞了两天终于配置成功)

    一.配置 Win10下 进入设置--高级系统设置--高级--环境变量 查找系统变量中的Path--点击编辑--在原有内容后方添加英文分号"  ;   " (注意不要在用户变量中写入 ...

  9. python安装后怎么配置环境变量_Python安装与环境变量的配置

    原博文 2017-11-04 20:52 − python下载: Python安装包下载地址:http://www.python.org/ ... 3 465882 相关推荐 2019-09-28 2 ...

最新文章

  1. 淘宝Fourinone分布式计算框架性能、压力、容灾测试报告
  2. QTP自动化测试-笔记 注释、大小写
  3. word count(小组)
  4. Spring Boot 笔记汇总
  5. java实现蛇形输出,Java 输入一个正整数,按蛇形打印。
  6. HDU - 2609 - How many
  7. 【Debug】IAR在线调试时报错,Warning: Stack pointer is setup to incorrect alignmentStack,芯片使用STM32F103ZET6...
  8. Codeforces - 1191D - Tokitsukaze, CSL and Stone Game - 博弈论
  9. inventor牙距_滚子链计算基础知识 | Inventor 2018 | Autodesk Knowledge Network
  10. 计算机视觉论文-2021-04-06
  11. 编辑,修改chm帮助文档,无需修改繁琐的html文件,可以直接编辑修改chm
  12. 【转贴】从亚马逊公司的发展看电子商务
  13. 按要求自动生成无向/有向图(基于C++实现)
  14. 计算机网络传输层课件,计算机网络技术,传输层协议课件
  15. C语言中字符数组的初始化与赋值
  16. 头歌--Java入门 - 分支结构
  17. String...的用法
  18. c语言打印三角99乘法表,用c语言打印99乘法表4种三角形
  19. matlab 数学建模 一阶常微分方程ode45
  20. MySql安装成功后没有my.ini文件怎么办?

热门文章

  1. elasticsearch批量操作
  2. spring框架使用Quartz执行定时任务实例详解
  3. 记一次金士顿DT100 G3 32G修复
  4. 甲骨文推出低成本高速公共与混合云方案,矛头直指AWS
  5. 内存对齐的规则以及作用
  6. VS2010解决方案转换到VS2008
  7. Cocos2d-X数据、动作、消息的基本操作
  8. 安装zookeeper
  9. Github多人合作用法
  10. 直播APP开发注意事项汇总