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OpenCV安装与Notebook使用

  • 直接使用pip安装
pip install opencv-python==3.4.1.15
pip install opencv-contrib-python==3.4.1.15
  • 下载.whl

  • 将下载好的opencv_python-3.4.1.15-cp36-cp36m-win_amd64.whl放到C:\ProgramData\Anaconda3\Scripts

# cmd进入C:\ProgramData\Anaconda3\Scripts目录,执行如下命令
pip install opencv_python-3.4.1.15-cp36-cp36m-win_amd64.whl
  • 报错如下
C:\ProgramData\Anaconda3\Scripts
λ pip install opencv_python-3.4.1.15-cp36-cp36m-win_amd64.whl
Looking in indexes: https://mirrors.aliyun.com/pypi/simple/
ERROR: opencv_python-3.4.1.15-cp36-cp36m-win_amd64.whl is not a supported wheel on this platform.
  • 解决方案
whl文件的版本需要与python的版本一致
# 浏览器访问
http://localhost:8888/tree#
# 去弹框中复制token
  • 启动方式2:打开cmd,输入jupyter notebook

  • 新建文件夹,路径为C:\Users\admin

  • 进入新建的文件夹,新建文件

  • 编写代码,执行

  • 编写markdown

  • 预览

  • 重命名,保存

  • 添加/删除/复制/粘贴/上移/下移/执行

  • 下载指定格式到本地

  • 停止

  • terminal配置jupyter

{
    "commandline": "C:\\ProgramData\\Anaconda3\\python.exe C:\\ProgramData\\Anaconda3\\cwp.py C:\\ProgramData\\Anaconda3 C:\\ProgramData\\Anaconda3\\python.exe C:\\ProgramData\\Anaconda3\\Scripts\\jupyter-notebook-script.py %USERPROFILE%",
    "guid": "{5e828110-1ad9-40d9-8875-264cd4e5bd4c}",
    "hidden": false,
    "icon": "C:\\ProgramData\\Anaconda3\\Menu\\jupyter.ico",
    "name": "Jupyter Notebook",
    "startingDirectory": "%USERPROFILE%"
}
点击查看详情

  • 添加虚拟环境
# 查看所有环境
C:\Users\ychen
λ conda env list
# conda environments:
#
env_dev                  C:\ProgramData\Anaconda3\envs\env_dev
root                  *  C:\ProgramData\Anaconda3

# 激活环境
C:\Users\ychen
λ activate env_dev

# 安装ipykernel包
C:\Users\ychen
(env_dev) λ conda install ipykernel
Fetching package metadata .................
Solving package specifications: .

Package plan for installation in environment C:\ProgramData\Anaconda3\envs\env_dev:

The following NEW packages will be INSTALLED:

    comm:      0.2.1-py310haa95532_0  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main

The following packages will be UPDATED:

    debugpy:   1.6.3-py310h8a704f9_0  conda-forge                                             --> 1.6.7-py310hd77b12b_0  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
    ipykernel: 6.14.0-py310hbbfc1a7_0 conda-forge                                             --> 6.28.0-py310haa95532_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
    pyzmq:     23.2.1-py310h73ada01_0 conda-forge                                             --> 25.1.0-py310hd77b12b_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main

Proceed ([y]/n)? y

debugpy-1.6.7- 100% |#######################################################################| Time: 0:00:00   3.56 MB/s
pyzmq-25.1.0-p 100% |#######################################################################| Time: 0:00:00   4.70 MB/s
comm-0.2.1-py3 100% |#######################################################################| Time: 0:00:00  12.32 MB/s
ipykernel-6.28 100% |#######################################################################| Time: 0:00:00   1.24 MB/s

# 设置环境
C:\Users\ychen
(env_dev) λ python -m ipykernel install --name env_dev
Installed kernelspec env_dev in C:\ProgramData\jupyter\kernels\env_dev
  • 启动jupyter查看
posted @ 2024-02-20 13:55  DogLeftover  阅读(153)  评论(0)    收藏  举报