Configuration tips for building Linux smart video surveillance applications using CMake

Configuration tips for building Linux smart video surveillance applications using CMake

Introduction:
With the continuous advancement of technology, smart video surveillance plays an increasingly important role in modern society. There is a growing demand for smart video surveillance applications in areas such as security surveillance and traffic management. This article will introduce how to use CMake to build an intelligent video surveillance application for Linux systems, and share some related configuration tips.

1. Introduction to CMake:
CMake is a cross-platform automated build system tool that can generate common build tools, such as Makefile, Visual Studio solutions, etc. It describes the build rules of the project through the CMakeLists.txt file to achieve the purpose of cross-platform building. CMake is simple, easy to use and powerful, and is widely used in the construction process of various software projects.

2. Basic configuration for building an intelligent video surveillance application:
Before starting, we first need to install the CMake tool. Then, create a new CMakeLists.txt file and write the following code in it:

cmake_minimum_required(VERSION 3.10)
project(SmartVideoMonitor)

set(CMAKE_CXX_STANDARD 11)
set(SOURCE_FILES main.cpp  #主程序文件
                 video.cpp  #视频处理代码文件
                 utils.cpp) #工具类代码文件

add_executable(SmartVideoMonitor ${SOURCE_FILES})

target_link_libraries(SmartVideoMonitor opencv_core  #OpenCV的核心库
                                        opencv_highgui  #OpenCV的GUI库
                                        opencv_video  #OpenCV的视频处理库
                                        pthread)  #多线程支持库

This code defines a project named SmartVideoMonitor, specifying the main program file (main.cpp), video processing Code file (video.cpp) and tool code file (utils.cpp). These source files are then compiled into executable files through the add_executable() command.

In the last line of target_link_libraries(), we link some required library files, such as OpenCV's core library, GUI library, video processing library and multi-thread support library pthread.

3. Add search paths for directories and files:
In actual projects, we usually place code files and header files in different directories. In order to find these files correctly, We need to add the search path. The following is a sample code for adding a search path:

include_directories(include  #头文件的搜索路径
                    src)  #源文件的搜索路径

In this example, we add the header file directory include and the source file directory src as search paths, so that when these files are referenced in the project, CMake can automatically Search for them.

4. Add subdirectories to build:
In a large project, we usually place different modules in different subdirectories. In order to build these subdirectories correctly, we can use The following code:

add_subdirectory(video)  #添加video子目录
add_subdirectory(utils)  #添加utils子目录

In this example, we add the video subdirectory and utils subdirectory to the project through the add_subdirectory() command. In this way, CMake will enter these subdirectories, find and build the corresponding code files.

5. Customized compilation options:
Sometimes, we need to customize some compilation options to meet specific needs. CMake provides a convenient way to achieve this purpose. The sample code is as follows:

option(ENABLE_DEBUG "Enable debug mode" OFF)  #定义一个名为ENABLE_DEBUG的选项，默认关闭

if(ENABLE_DEBUG)
    add_compile_definitions(DEBUG)  #开启宏定义DEBUG
    set(CMAKE_BUILD_TYPE Debug)  #设置构建类型为Debug模式
endif()

In this example, we define an option named ENABLE_DEBUG, which is turned off by default. If this option is enabled, a macro definition named DEBUG will be enabled and the build type will be set to Debug mode. In this way, we can turn debugging mode on or off as needed.

6. Summary:
Through the introduction of this article, we have learned how to use CMake to build an intelligent video surveillance application suitable for Linux systems, and shared some related configuration skills.

CMake is a powerful and easy-to-use build system tool that can greatly simplify the project building process. Through reasonable configuration and flexible options, we can better leverage the advantages of CMake and improve the maintainability and scalability of the project.

I hope this article can be helpful to you when building intelligent video surveillance applications, and can inspire you in the configuration process in actual projects. Thank you for reading!

Appendix: Complete CMakeLists.txt file example

cmake_minimum_required(VERSION 3.10)
project(SmartVideoMonitor)

set(CMAKE_CXX_STANDARD 11)

option(ENABLE_DEBUG "Enable debug mode" OFF)

if(ENABLE_DEBUG)
    add_compile_definitions(DEBUG)
    set(CMAKE_BUILD_TYPE Debug)
    message("Enable debug mode")
endif()

include_directories(include src)

set(SOURCE_FILES main.cpp video.cpp utils.cpp)

add_subdirectory(video)
add_subdirectory(utils)

add_executable(SmartVideoMonitor ${SOURCE_FILES})

target_link_libraries(SmartVideoMonitor opencv_core opencv_highgui opencv_video pthread)

Reference:
[CMake Documentation](https://cmake.org/documentation/)

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