VScode

(float[5])v_anchors
查看大小為5的float array

參考:
https://github.com/microsoft/vscode-cpptools/issues/688#issuecomment-299262784

https://stackoverflow.com/questions/52721440/how-to-expand-an-array-while-debugging-in-visual-studio-code

GDB

列印位址

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//變數c的位址
p&c

https://stackoverflow.com/questions/43861731/gdb-print-the-value-of-memory-address

列印位址的內容

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(gdb) p *(struct node *) 0x00000000004004fc

https://stackoverflow.com/questions/43861731/gdb-print-the-value-of-memory-address

segmentation fault 除錯

1. gdb run 並且帶入執行參數
   gdb –args executablename arg1 arg2 arg3
   (gdb) run

https://stackoverflow.com/questions/6121094/how-do-i-run-a-program-with-commandline-arguments-using-gdb-within-a-bash-script

2. https://www.cnblogs.com/realjimmy/p/12850884.html

參考:

https://hackernoon.com/how-to-set-up-c-debugging-in-vscode-using-a-makefile

參考:
https://lloydrochester.com/post/c/unix-daemon-example/

https://www.freedesktop.org/software/systemd/man/latest/daemon.html

https://stackoverflow.com/questions/17954432/creating-a-daemon-in-linux/17955149#17955149

clangd cuda 設定
https://www.youtube.com/watch?v=gN3XeFwZ4ng

範例下載
https://github.com/NVIDIA/cuda-samples/tree/v12.4

非常單的cuda 程式撰寫
https://developer.nvidia.com/blog/even-easier-introduction-cuda/

Nsight Visual Studio Code Edition
https://marketplace.visualstudio.com/items?itemName=NVIDIA.nsight-vscode-edition

程式撰寫

https://www.olcf.ornl.gov/cuda-training-series/
https://learnopencv.com/demystifying-gpu-architectures-for-deep-learning/
https://paulrichmond.shef.ac.uk/teaching/COM4521/

http://www.cs.nccu.edu.tw/~jang/teaching/CompNet_files/Wireshark-%E5%9F%BA%E7%A4%8E%E6%95%99%E5%AD%B8.pdf

w32tm有兩個地方可以設定，一個是registry，一個是policy(GPO)
registry可以用regedit開啟，位於
HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Services\W32Time

policy用gpedit.msc可以開啟，位於
Computer Configuration\Policies\Administrative Templates\System\Windows Time Service

下面指令測試是否可以連線到NTP server

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w32tm /stripchart /computer:time.windows.com /samples:5 

下面指令可以設定NTP server

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w32tm /config /manualpeerlist:NTP.iead.local /syncfromflags:manual /update

w32tm /query /configuration
確認看到以下訊息，(本機)代表是從registry讀取的設定，(原則)代表是從 policy(GPO) 讀取的設定

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NtpServer (本機)
DllName: C:\Windows\SYSTEM32\w32time.DLL (本機)
Enabled: 1 (原則)
InputProvider: 0 (本機)
AllowNonstandardModeCombinations: 1 (本機)

w32tm /query /configuration /Verbose
可以詳細看到設定的NTP伺服器

設定w32tm log
https://learn.microsoft.com/en-us/troubleshoot/windows-server/active-directory/turn-on-debug-logging-in-windows-time-service

To turn on debug logging in the Windows Time service:

Start Registry Editor.

Locate and then click the registry key: HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Services\W32Time\Config.

On the Edit menu, click New Value, and then add the following registry values:

Value Name: FileLogSize
Data Type: DWORD
Value data: 10000000
This registry value specifies the size of the log file in bytes. A value of 10000000 bytes will limit the log file to approximately 10 MB.

Value name: FileLogName
Data Type: String
Value data: C:\Windows\Temp\w32time.log
This registry value specifies the location of the log file. The path is not fixed. You can use a different path.

Value name: FileLogEntries
Data Type: String
Value: 0-116
This registry value specifies the level of detail of the information in the debug log. If you must have more detailed logging information, contact a Microsoft Support Professional.

執行 regedit
執行

IBM重點參考文章
https://www.dell.com/support/kbdoc/zh-cn/000134430/windows-time-service-%E6%95%85%E9%9A%9C-%E5%A4%84%E7%90%86

https://www.ravenswoodtechnology.com/network-time-protocol-configurations-a-deeper-dive/

https://www.ravenswoodtechnology.com/in-sync-proper-time-configuration-in-ad/

https://superuser.com/questions/451018/how-can-i-query-an-ntp-server-under-windows

https://www.renanrodrigues.com/post/how-to-configure-ntp-server-in-active-directory-step-by-step

Windows作為NTP server
https://support.hanwhavision.com/hc/en-us/articles/26570683589529-How-to-Setup-an-NTP-Server-on-Windows-10

• 取得compute capability
  編譯CUDA提供的example並且執行deviceQuery程式，注意example要下載正確的CUDA版本

• Cuda Error (209): cudaLaunchKernel returned cudaErrorNoKernelImageForDevice

https://stackoverflow.com/questions/62901027/cuda-error-209-cudalaunchkernel-returned-cudaerrornokernelimagefordevice

• 關於compute capability更進一步的說明
  https://stackoverflow.com/questions/35656294/cuda-how-to-use-arch-and-code-and-sm-vs-compute/35657430#35657430

• 正確取得CUDA error
  https://stackoverflow.com/questions/14038589/what-is-the-canonical-way-to-check-for-errors-using-the-cuda-runtime-api

參考

https://stackoverflow.com/questions/62901027/cuda-error-209-cudalaunchkernel-returned-cudaerrornokernelimagefordevice

Setup Deepstream C development enviornment with CMake and VSCode

2024/07/05更新

安裝C/C++、CMake 、CMake Tools extension
C/C++的IntelliSense直接選compile_commands.json
https://code.visualstudio.com/docs/cpp/configure-intellisense

launch.json

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{
    // Use IntelliSense to learn about possible attributes.
    // Hover to view descriptions of existing attributes.
    // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
    "version": "0.2.0",
    "configurations": [
        {
            "name": "(gdb) Launch",
            "type": "cppdbg",
            "request": "launch",
            "program": "${command:cmake.launchTargetPath}",
            "args": ["-c", "licenceplate_nvmultiurisrcbin.txt"],
            "stopAtEntry": false,
            "cwd": "${workspaceFolder}",
            "environment": [],
            "externalConsole": false,
            "MIMode": "gdb",
            "setupCommands": [
                {
                    "description": "Enable pretty-printing for gdb",
                    "text": "-enable-pretty-printing",
                    "ignoreFailures": true
                },
                {
                    "description": "Set Disassembly Flavor to Intel",
                    "text": "-gdb-set disassembly-flavor intel",
                    "ignoreFailures": true
                }
            ]
        }
    ]
}

查看char *完整內容

https://stackoverflow.com/questions/52721440/how-to-expand-an-array-while-debugging-in-visual-studio-code

2024/07/05前舊方法

Prequirements

• CMake > 3.25

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  sudo apt-get update sudo apt-get install ca-certificates gpg wget test -f /usr/share/doc/kitware-archive-keyring/copyright || wget -O - https://apt.kitware.com/keys/kitware-archive-latest.asc 2>/dev/null | gpg --dearmor - | sudo tee /usr/share/keyrings/kitware-archive-keyring.gpg >/dev/null # For Ubuntu Jammy Jellyfish (22.04): echo 'deb [signed-by=/usr/share/keyrings/kitware-archive-keyring.gpg] https://apt.kitware.com/ubuntu/ jammy main' | sudo tee /etc/apt/sources.list.d/kitware.list >/dev/null sudo apt-get update # For Ubuntu Focal Fossa (20.04): echo 'deb [signed-by=/usr/share/keyrings/kitware-archive-keyring.gpg] https://apt.kitware.com/ubuntu/ focal main' | sudo tee /etc/apt/sources.list.d/kitware.list >/dev/null sudo apt-get update test -f /usr/share/doc/kitware-archive-keyring/copyright || sudo rm /usr/share/keyrings/kitware-archive-keyring.gpg sudo apt-get install kitware-archive-keyring sudo apt-get install cmake

• VSCode
• clangd

  1	sudo apt-get install clangd-12

• package to run this example

  1 2	sudo apt-get install libgstreamer-plugins-base1.0-dev libgstreamer1.0-dev \ libgstrtspserver-1.0-dev libx11-dev libjson-glib-dev libyaml-cpp-dev

Setup VSCode for development

• install VSCode extension
  CodeLLDB、clangd 、CMake 、CMake Tools

• Note: Do not install C/C++ extension pack from Microsoft

• copy deepstream-test5 to your workspace
  deepstream-test5 is a complete example to modify deepstream-app，this will take the advantage of the module design of deepstream-app. You can add probe to customize the app. It have good config parser and error handling, those will save many effort.
  Following our workspace is in the copy of deepstream-test5 folder.

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cp -r /opt/nvidia/deepstream/deepstream/apps/sample_apps/deepstream-test5/* /path/to/your/workspace

• create launch.json and task.json
  create launch.json and task.json for compile and debug

tasks.json use CMake to build

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{
  "version": "2.0.0",
  "tasks": [
        {
            "type": "cmake",
            "label": "CMake: build",
            "command": "build",
            "targets": [
                "all"
            ],
            "group": "build",
            "problemMatcher": [],
            "detail": "CMake template build task"
        }
    ]
}

launch.json call task in task json to build

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{
    // Use IntelliSense to learn about possible attributes.
    // Hover to view descriptions of existing attributes.
    // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
    "version": "0.2.0",
    "configurations": [
        {
            "type": "lldb",
            "request": "launch",
            "name": "Debug",
            "program": "${workspaceFolder}/deepstream-test5",//the path of the executable file deepstream-test5
            "args": ["-c", "configs/test5_config_file_src_infer.txt"],//arg for deepstream-test5
            "cwd": "${workspaceFolder}",//指定工作目錄
            "preLaunchTask": "CMake: build"
        }
    ]
}
```  


create settings.json for clangd to read compile_commands.json. clangd can generate code navigator.
```json
{
    "cmake.sourceDirectory": "${workspaceFolder}",
    "cmake.generator": "Unix Makefiles",
    "clangd.arguments": [
        "--compile-commands-dir=${workspaceFolder}/build",
        "--background-index",
        "-j=8",
        "--query-driver=/usr/bin/clang++",
        "--clang-tidy",
        "--clang-tidy-checks=performance-*,bugprone-*",
        "--all-scopes-completion",
        "--completion-style=detailed",
        "--function-arg-placeholders",
        "--header-insertion=iwyu",
        "--pch-storage=memory",
    ],
}

• Create CMAKELists.txt
  Create CMakeLists.txt under the workspace folder, CMake will help you find CUDA and nvcc, no more CUDA_VER env variable needed even in jetson.
  In this example，we need to compile deepstream-app first and use the object file in our project.So we use ExternalProject_Add to do this.

We need to change the permission for deepstream-app source folder in order to compile the deepstream-app.

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sudo chmod -R 777 /opt/nvidia/deepstream/deepstream/sources/apps/

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cmake_minimum_required(VERSION 3.25)
project(deepstream-test5 LANGUAGES C CXX) #project(deepstream-test5 LANGUAGES CUDA C CXX)
set(CMAKE_CXX_STANDARD 14)
set (CMAKE_RUNTIME_OUTPUT_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR})
set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
set(CMAKE_BUILD_TYPE Debug)
find_package(PkgConfig REQUIRED)
pkg_check_modules(PKGS REQUIRED uuid x11 gstreamer-video-1.0 json-glib-1.0 gstreamer-1.0 gstreamer-rtsp-server-1.0 yaml-cpp)
find_package(CUDAToolkit)
message("CUDA_VER is ${CUDAToolkit_VERSION_MAJOR}.${CUDAToolkit_VERSION_MINOR}")

if(NOT DEFINED CMAKE_CUDA_STANDARD)
    set(CMAKE_CUDA_STANDARD 11)
    set(CMAKE_CUDA_STANDARD_REQUIRED True)
endif()

SET(DEEPSTREAMAPP
    /opt/nvidia/deepstream/deepstream/sources/apps
)

include(ExternalProject)
ExternalProject_Add(deepstreamapp  
    SOURCE_DIR ${DEEPSTREAMAPP}/sample_apps/deepstream-app 
    CONFIGURE_COMMAND ""
    INSTALL_COMMAND ""
    DOWNLOAD_COMMAND ""
    BUILD_COMMAND export CUDA_VER=${CUDAToolkit_VERSION_MAJOR}.${CUDAToolkit_VERSION_MINOR} && make
    BUILD_IN_SOURCE true
)

file(GLOB_RECURSE  DEEPSTREAMAPPCOMMONOBJ "/opt/nvidia/deepstream/deepstream/sources/apps/apps-common/src/*.o")
file(GLOB_RECURSE  DEEPSTREAMAPPOBJ "/opt/nvidia/deepstream/deepstream/sources/apps/sample_apps/deepstream-app/*.o")

list(REMOVE_ITEM DEEPSTREAMAPPOBJ "/opt/nvidia/deepstream/deepstream/sources/apps/sample_apps/deepstream-app/deepstream_app_main.o")

message(DEEPSTREAMAPPCOMMONOBJ="${DEEPSTREAMAPPCOMMONOBJ}")
message(DEEPSTREAMAPPOBJ="${DEEPSTREAMAPPOBJ}")


SET(OBJS
    ${DEEPSTREAMAPPCOMMONOBJ}
    ${DEEPSTREAMAPPOBJ}
    /opt/nvidia/deepstream/deepstream/sources/apps/apps-common/src/deepstream_config_file_parser.o
    )   

SET_SOURCE_FILES_PROPERTIES(
  ${OBJS}
  PROPERTIES
  EXTERNAL_OBJECT true
  GENERATED true
)


add_executable(${PROJECT_NAME}
    ${OBJS}
    deepstream_utc.c
    deepstream_test5_app_main.c
)

target_include_directories(${PROJECT_NAME} PRIVATE
    ${PKGS_INCLUDE_DIRS}
    ${CMAKE_CUDA_TOOLKIT_INCLUDE_DIRECTORIES}
    /opt/nvidia/deepstream/deepstream/sources/apps/apps-common/includes
    /opt/nvidia/deepstream/deepstream/sources/includes
    /opt/nvidia/deepstream/deepstream/sources/apps/sample_apps/deepstream-app
    ${CMAKE_CURRENT_SOURCE_DIR}/cparse
    ${CMAKE_CURRENT_SOURCE_DIR}
)

target_link_libraries(${PROJECT_NAME} PRIVATE
    ${PKGS_LIBRARIES}
    CUDA::cuda_driver
    nvds_utils nvdsgst_helper m nvdsgst_meta nvds_meta stdc++
    nvbufsurface nvbufsurftransform nvds_batch_jpegenc uuid jpeg png nvds_yml_parser
    nvdsgst_smartrecord nvds_msgbroker nvdsgst_customhelper
    pthread 
    PRIVATE CUDA::cudart
)

target_link_directories(${PROJECT_NAME} PRIVATE
    /opt/nvidia/deepstream/deepstream/lib/
)

target_link_options(${PROJECT_NAME} PRIVATE -Wl,-rpath,/opt/nvidia/deepstream/deepstream/lib/)

• build project
  click the build button in VSCode and select the gcc compiler.
  

• start debug and make a breakpoint
  

• code navigation
  

• example project
  https://github.com/jenhaoyang/deepstream-startup

• 如果是在wsl，檢查一下nameserver設定，確認DNS伺服器有沒有正確設定。
  https://geekdudes.wordpress.com/2022/11/16/windows-subsistem-for-linux-make-etc-resolv-conf-changes-permanent/

• 在網路很糟的情況下可以重複apt update，有mismatch的部分會慢慢被校正。

• 更改鏡像網站
  https://note.drx.tw/2012/01/mirror.html

https://blog.miniasp.com/post/2019/02/19/Ubuntu-apt-update-hash-sum-mismatch#google_vignette

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nohup command >logfile.txt 2>&1 &

參考

https://blog.csdn.net/xiaojin21cen/article/details/88991768