矩池云上使用Visdom可视化图像说明
租用机器添加默认端口
![](https://assets.matters.news/embed/3bc7a4b8-0279-44da-972e-1c03bee309e1.png)
点击展开高级选项
![](https://assets.matters.news/embed/807e10cf-b792-4c4b-8f76-53322aae191e.png)
点击添加端口配置
![](https://assets.matters.news/embed/45de55bd-2f75-41bb-9ed6-6400f800aca5.png)
添加Visdom默认端口,选择 http
端口填入 8097
进入环境安装并使用
![](https://assets.matters.news/embed/2cebc541-98c9-45a6-857e-0f799cff82dc.png)
JupyterLab 链接 是本次实验用来安装实验的工具
HTTP 8097端口 链接 打开是你的Visdom了
![](https://assets.matters.news/embed/d62fed4b-d2b4-493c-a249-7d6e72d80bd8.png)
安装
pip install visdom
![](https://assets.matters.news/embed/e3fdf294-50fb-46a2-9983-e7ddf94f5d24.png)
启动
python -m visdom.server
![](https://assets.matters.news/embed/ce177ebf-e383-4aa0-8359-58c77bb89dcd.png)
注意 bash ioloop.install() # Needs to happen before any tornado imports! Checking for scripts. Downloading scripts, this may take a little while
是需要等待一下
visdom成功启动后,会返回一个网址,这个时候你回到我的租用页面打开你的HTTP 8097端口链接就可以了
![](https://assets.matters.news/embed/4144e1f9-1f07-4477-b7bc-b059f85e2a92.png)
简单测试
![](https://assets.matters.news/embed/604a5072-2bb5-4273-9573-1a03edab45dc.png)
import matplotlib.pyplot as plt from visdom import Visdom vis = Visdom() plt.plot(range(100)) vis.matplot(plt)
![](https://assets.matters.news/embed/e1a50c5c-b611-4f17-8726-b948ddc95ee0.png)
再看一下Visdom
![](https://assets.matters.news/embed/fbd1e6a4-f06e-493a-8954-56ea5f0a89db.png)
完成
参考文章
python画图(标记、marker、设置标记大小、marker符号大全)
visdom:Downloading scripts, this may take a little while