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修改docker 镜像存储位置

作者: const
时间: 2024-03-08
分类: Ubuntu
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sudo systemctl stop docker
sudo systemctl stop docker.socket

sudo mv /var/lib/docker ~/
sudo ln -s ~/docker /var/lib/docker

sudo systemctl start docker.socket
sudo systemctl start docker

docker ps -a

CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
ee82839b65bb ubuntu:22.04 "/bin/bash" 7 weeks ago Exited (137) 10 minutes ago epic_chatelet
bf9c8c24edc5 ubuntu:20.04 "bash" 8 months ago Exited (0) 10 minutes ago angry_goldstine

docker start bf
docker exec -it bf /bin/bash
docker ps

CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
bf9c8c24edc5 ubuntu:20.04 "bash" 8 months ago Up 14 seconds angry_goldstine

linux Docker 容器里运行 Windows 系统

作者: const
时间: 2024-03-11
分类: 云笔记
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Docker 容器里运行 Windows 系统，可选择 Win7，Win10，Win11 等，支持远程桌面连接，也可以直接在网页里面查看.

输入网址访问效果:
http://192.168.10.144:8006/?resize=scale&autoconnect=true

截图 2024-03-11 09-40-18.png

当然也是可以通过3389端口来访问的.

截图 2024-03-11 09-41-14.png

官方的github地址:https://github.com/dockur/windows
能够看到star狂升.

直接上命令:

docker run -it --rm --name windows -p 8006:8006 -p 13389:3389 --device=/dev/kvm --cap-add NET_ADMIN --stop-timeout 120 dockurr/windows

因为要下载安装光盘,有好几个Ｇ,估计要花点时间,然后下次就可以直接使用了.

docker ps
CONTAINER ID   IMAGE             COMMAND                  CREATED      STATUS             PORTS                                                                                    NAMES
e9f8d4c38625   dockurr/windows   "/usr/bin/tini -s /r…"   2 days ago   Up About an hour   0.0.0.0:8006->8006/tcp, :::8006->8006/tcp, 0.0.0.0:13389->3389/tcp, :::13389->3389/tcp   windows

启动停止还是使用docker start/stop就可以了.启动后,就直接网页或者远程桌面就可以访问了.

Electron整理

作者: const
时间: 2024-03-27
分类: 云笔记
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BrowserWindow网页显示文本内容:
In Chrome, you can display inline html pages by navigating URL with data: protocol such as

data:text/html;charset=utf-8,<head> <meta http-equiv="Content-Type" content="text/html; charset=utf-8" /> <meta name="viewport" content="width=device-width, initial-scale=1.0" /> <title>MyYTitle</title> <style type="text/css"> </style></head> <body>Hello world from Lyon, FR</body>

It works the same in Electron. Can you try opening a window with

loadURL('data:text/html;charset=utf-8,<YOUR HTML/>');

~/work/2023/go_all_2023/bin/go_display 192.168.4.202 "data:text/html;charset=utf-8,<h1>Hello World</h1>"

~/work/2023/go_all_2023/bin/go_display 192.168.4.202 "data:text/html;charset=utf-8,<head><style>html, body {height: 100%;margin: 0;padding: 0;width: 100%;font-family: 宋体;font-size: 100px;color: green;font-weight: bold;}body{display: table;}.my-block {text-align: center;display: table-cell;vertical-align: middle;}</style></head><body><div class='my-block'>Hello World</div></body></html>"

判断错误的代码与类型

server.on('error', function (error) {
        write_log('Error1: ' + error);
        write_log('error.code' + error.code)
        write_log('error.message' + error.message)
        server.close();
        if (error.code == EADDRINUSE)
            app.quit();
    });

新建一个electron项目
首先安装yarn

sudo apt update && sudo apt install libfuse2 curl gnupg
curl -sS https://dl.yarnpkg.com/debian/pubkey.gpg | apt-key add -
echo "deb https://dl.yarnpkg.com/debian/ stable main" | tee /etc/apt/sources.list.d/yarn.list
sudo apt update && sudo apt install yarn

手动下载node并链接

wget https://nodejs.org/dist/v20.10.0/node-v20.10.0-linux-arm64.tar.gz -O /opt/node.tar.gz
tar xvf /opt/node.tar.gz -C/opt
ln -s /opt/node/bin/node /usr/bin/node
ln -s /opt/node/bin/npm /usr/bin/npm

mkdir first-app && cd first-app

新建一个package.json文件,内容如下, 这个文件的内容,可以根据你自己的需要来修改:

cat package.json 
{
  "name": "first-app",
  "version": "1.0.0",
  "description": "my first app",
  "main": "index.js",
  "scripts": {
    "test": "echo \"Error: no test specified\" && exit 1",
    "dist": "electron-builder --linux appImage"
  },
  "author": "hesy <pzhy@qq.com>",
  "license": "ISC",
  "devDependencies": {
    "electron": "^29.1.5",
    "electron-builder": "^24.13.3"
  },
  "build": {
    "appId": "const.net.cn",
    "appImage": {
      "category": "Utility"
    },
    "executableName": "firstapp"
  }
}

还要新建一个index.js文件,内容如下:

cat index.js
const { app, BrowserWindow } = require('electron')

function createWindow() {
  udplib.write_log("program start.")
  var win = new BrowserWindow({
    width: 1920,
    height: 1080,
    titleBarStyle: 'hidden',
    frame: false,
    show: false,
    webPreferences: {
      nodeIntegration: true,
      webSecurity: false
    }
  })

  win.loadURL('https://const.net.cn')
  win.show()
  //隐藏滚动条
  win.webContents.executeJavaScript(`
  let style = document.createElement('style');
  style.innerHTML = '::-webkit-scrollbar { display: none; }';
  document.head.appendChild(style);
`);

}

app.whenReady().then(createWindow)

可选命令,优化下载速度,不要用淘宝的了,淘宝的不能用了.
　　yarn config set registry https://registry.npmmirror.com -g
　　yarn config set electron_mirror https://npmmirror.com/mirrors/electron/ -g
接下来执行安装electron-builder命令

yarn add electron-builder --dev

成功后,就可以使用

yarn dist 生成可执行程序了.

/opt/first-app# yarn dist
yarn run v1.22.19
$ electron-builder --linux appImage
  • electron-builder  version=24.13.3 os=4.19.219
  • loaded configuration  file=package.json ("build" field)
  • writing effective config  file=dist/builder-effective-config.yaml
  • packaging       platform=linux arch=arm64 electron=29.1.5 appOutDir=dist/linux-arm64-unpacked
  • building        target=AppImage arch=arm64 file=dist/first-app-1.0.0-arm64.AppImage
  • default Electron icon is used  reason=application icon is not set
Done in 65.60s.

接下来就简单了,直接执行可执行文件就好了.

./dist/first-app-1.0.0-arm64.AppImage --no-sandbox

如果提示缺少了什么动态库,apt install 安装上就可以了.

棋灵王全集 magnet

作者: const
时间: 2024-03-30
分类: 云笔记
阅读:(448)
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2001.棋魂.棋灵王.棋靈王.双国粤日5音轨.TV.75集全.MOVIE.SP.漫画.Hikaru.no.Go.ヒカルの碁

magnet:?xt=urn:btih:d784bee99ae922f395cecf11c5037672dcfed840

magnet:?xt=urn:btih:26CL52M25ERPHFOOZ4I4KA3WOLOP5WCA&dn=&tr=http%3A%2F%2F104.143.10.186%3A8000%2Fannounce&tr=udp%3A%2F%2F104.143.10.186%3A8000%2Fannounce&tr=http%3A%2F%2Ftracker.openbittorrent.com%3A80%2Fannounce&tr=http%3A%2F%2Ftracker3.itzmx.com%3A6961%2Fannounce&tr=http%3A%2F%2Ftracker4.itzmx.com%3A2710%2Fannounce&tr=http%3A%2F%2Ftracker.publicbt.com%3A80%2Fannounce&tr=http%3A%2F%2Ftracker.prq.to%2Fannounce&tr=http%3A%2F%2Fopen.acgtracker.com%3A1096%2Fannounce&tr=https%3A%2F%2Ft-115.rhcloud.com%2Fonly_for_ylbud&tr=http%3A%2F%2Ftracker1.itzmx.com%3A8080%2Fannounce&tr=http%3A%2F%2Ftracker2.itzmx.com%3A6961%2Fannounce&tr=udp%3A%2F%2Ftracker1.itzmx.com%3A8080%2Fannounce&tr=udp%3A%2F%2Ftracker2.itzmx.com%3A6961%2Fannounce&tr=udp%3A%2F%2Ftracker3.itzmx.com%3A6961%2Fannounce&tr=udp%3A%2F%2Ftracker4.itzmx.com%3A2710%2Fannounce

两个链接都是同一个东西，好不容易找到的。

编译opencv4.9.0 CUDA记录

作者: const
时间: 2024-04-19
分类: 云笔记
阅读:(468)
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因为一个错误提示信息,才发现默认的opencv是没有把cuda编译进去的.

setUpNet DNN module was not built with CUDA backend; switching to CPU

保险起见,就在docker里面安装编译啥的了.

docker pull ubuntu:22.04
docker run --gpus all -it --name my_ubuntu2204 ubuntu:22.04 /bin/bash

得到一个docker 容器,根据docker ps 可以查看容器的ID是d3开头的,简单起见,就直接docker start d3就可以了.

docker exec -it d3 /bin/bash

安装必要的工具

apt -y update
apt -y upgrade
apt -y install linux-headers-$(uname -r)
apt -y install wget unzip cmake gcc g++
apt -y install python3 python3-dev python3-numpy
apt -y install libavcodec-dev libavformat-dev libswscale-dev
apt -y install libgstreamer-plugins-base1.0-dev libgstreamer1.0-dev
apt -y install libgtk-3-dev
apt -y install libpng-dev libjpeg-dev libopenexr-dev libtiff-dev libwebp-dev

安装cuda

wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-ubuntu2204.pin
mv cuda-ubuntu2204.pin /etc/apt/preferences.d/cuda-repository-pin-600
wget https://developer.download.nvidia.com/compute/cuda/12.4.1/local_installers/cuda-repo-ubuntu2204-12-4-local_12.4.1-550.54.15-1_amd64.deb
dpkg -i cuda-repo-ubuntu2204-12-4-local_12.4.1-550.54.15-1_amd64.deb
cp /var/cuda-repo-ubuntu2204-12-4-local/cuda-*-keyring.gpg /usr/share/keyrings/
apt update
apt -y install cuda-toolkit-12-4
apt-get install -y cuda-drivers

下载opencv4.9.0

wget https://github.com/opencv/opencv/archive/refs/tags/4.9.0.tar.gz
wget https://github.com/opencv/opencv_contrib/archive/refs/tags/4.9.0.zip
unzip opencv_contrib-4.9.0.zip
tar xvf opencv-4.9.0.tar.gz
cd opencv-4.9.0
mkdir build && cd build 
cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D WITH_CUDA=ON -D WITH_CUDNN=ON -D WITH_CUBLAS=ON -D WITH_TBB=ON -D OPENCV_DNN_CUDA=ON -D OPENCV_ENABLE_NONFREE=ON  -D OPENCV_EXTRA_MODULES_PATH=/home/hesy/opencv_contrib-4.9.0/modules -D BUILD_EXAMPLES=OFF -D HAVE_opencv_python3=ON ..

最新的命令
直接拉官方的docker(https://hub.docker.com/r/nvidia/cuda/tags)

docker pull nvidia/cuda:12.3.2-cudnn9-devel-ubuntu22.04
docker run --gpus all -it --name my-opencv -v /home/hesy:/home/hesy nvidia/cuda:12.3.2-cudnn9-devel-ubuntu22.04 /bin/bash
apt -y update
apt -y upgrade
apt -y install linux-headers-$(uname -r)
apt -y install wget unzip cmake gcc g++
apt -y install python3 python3-dev python3-numpy
apt -y install libavcodec-dev libavformat-dev libswscale-dev
apt -y install libgstreamer-plugins-base1.0-dev libgstreamer1.0-dev
apt -y install libgtk-3-dev libfreeimage3 libfreeimage-dev
apt -y install libpng-dev libjpeg-dev libopenexr-dev libtiff-dev libwebp-dev libdc1394-dev

mkdir -p /home/hesy/opencv && cd /home/hesy/opencv
wget https://github.com/opencv/opencv/archive/refs/tags/4.9.0.tar.gz
wget https://github.com/opencv/opencv_contrib/archive/refs/tags/4.9.0.zip
unzip opencv_contrib-4.9.0.zip
tar xvf opencv-4.9.0.tar.gz
cd opencv-4.9.0
mkdir build && cd build 
cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D WITH_CUDA=ON -D WITH_CUDNN=ON -D WITH_CUBLAS=ON -D WITH_TBB=ON -D OPENCV_DNN_CUDA=ON -D OPENCV_ENABLE_NONFREE=ON  -D OPENCV_EXTRA_MODULES_PATH=/home/hesy/opencv/opencv_contrib-4.9.0/modules -D BUILD_EXAMPLES=OFF -D HAVE_opencv_python3=ON ..
make

编译报错:(
error: 'cudnnSetRNNDescriptor_v6' was not declared in this scope; did you mean 'cudnnSetRNNDescriptor_v8
error: 'cudnnRNNForwardInference' was not declared in this scope
error: 'cudnnGetRNNWorkspaceSize' was not declared in this scope; did you mean 'cudnnGetRNNWeightSpaceSize'?

在网上( https://github.com/opencv/opencv/issues/24983 )看到相关说法是cudnn9不行,用cudnn8.9.7就可以了.去下载一个8.9.7试试看

重新开一个新的docker,使用nvidia/cuda:12.3.2-devel-ubuntu22.04,不带cudnn版本的容器.在容器执行下面的命令

apt -y update
apt -y upgrade
apt -y install linux-headers-$(uname -r)
apt -y install wget unzip cmake gcc g++
apt -y install python3 python3-dev python3-numpy
apt -y install libavcodec-dev libavformat-dev libswscale-dev
apt -y install libgstreamer-plugins-base1.0-dev libgstreamer1.0-dev
apt -y install libgtk-3-dev libfreeimage3 libfreeimage-dev
apt -y install libpng-dev libjpeg-dev libopenexr-dev libtiff-dev libwebp-dev libdc1394-dev

下载cudnn8.9.7的本地安装包,官方网站要注册登录才能下载.不复杂,几分钟时间就能搞定.
https://developer.download.nvidia.com/compute/cudnn/secure/8.9.7/local_installers/12.x/cudnn-local-repo-ubuntu2204-8.9.7.29_1.0-1_amd64.deb

dpkg -i cudnn-local-repo-ubuntu2204-8.9.7.29_1.0-1_amd64.deb
cp /var/cudnn-local-repo-*/cudnn-local-*-keyring.gpg /usr/share/keyrings/
apt update
apt -y install libcudnn8 libcudnn8-dev libcudnn8-samples

校验编译mnistCUDNN

cp -r /usr/src/cudnn_samples_v8/ /home/hesy
cd  /home/hesy/cudnn_samples_v8/mnistCUDNN
make clean && make

执行检测，看到pass表示测试通过

# 在/home/hesy/cudnn_samples_v8/mnistCUDNN中执行./mnistCUDNN进行测试
./mnistCUDNN

测试结果:

root@3a452f9297bd:/home/hesy/cudnn_samples_v8/mnistCUDNN# ./mnistCUDNN 
Executing: mnistCUDNN
cudnnGetVersion() : 8907 , CUDNN_VERSION from cudnn.h : 8907 (8.9.7)
Host compiler version : GCC 11.4.0

There are 1 CUDA capable devices on your machine :
device 0 : sms 128  Capabilities 8.9, SmClock 2520.0 Mhz, MemSize (Mb) 24003, MemClock 10501.0 Mhz, Ecc=0, boardGroupID=0
Using device 0
***
Result of classification: 1 3 5

Test passed!

参考:　https://juejin.cn/post/7319717702376882227

本来以为这个东西简简单单,没想到一通折腾就是一二天.

cudnn安装成功了,继续折腾编译opencv

mkdir -p /home/hesy/opencv && cd /home/hesy/opencv
wget https://github.com/opencv/opencv/archive/refs/tags/4.9.0.tar.gz
wget https://github.com/opencv/opencv_contrib/archive/refs/tags/4.9.0.zip
unzip opencv_contrib-4.9.0.zip
tar xvf opencv-4.9.0.tar.gz
cd opencv-4.9.0
mkdir build && cd build 
cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D WITH_CUDA=ON -D WITH_CUDNN=ON -D WITH_CUBLAS=ON -D WITH_TBB=ON -D OPENCV_DNN_CUDA=ON -D OPENCV_ENABLE_NONFREE=ON  -D OPENCV_EXTRA_MODULES_PATH=/home/hesy/opencv/opencv_contrib-4.9.0/modules -D BUILD_EXAMPLES=OFF -D HAVE_opencv_python3=ON ..
make

发现下载IPPICV非常慢,有条件的就上代理吧,另外不知道多线程行不行,所以没敢make -j. 最后发现实在是太慢了,还是

make -j32

快得飞起.但是但是,最后一点点会只用1个cpu,慢得很,只能慢慢等了.前97%感觉没有后3%花的时间多.


export http_proxy="socks5://127.0.0.1:10008"
export https_proxy="socks5://127.0.0.1:10008"

修改docker 镜像存储位置

linux Docker 容器里运行 Windows 系统

Electron整理

棋灵王全集 magnet

编译opencv4.9.0 CUDA记录

最新文章

热门文章

分类

其它

修改docker 镜像存储位置

linux Docker 容器里运行 Windows 系统

Electron整理

棋灵王 全集 magnet

编译opencv4.9.0 CUDA记录

最新文章

热门文章

分类

其它

棋灵王全集 magnet