[Changed]修改参数导入方式为环境变量

.gitignore

@@ -1 +1,3 @@
 build
+release
+tmp

CHANGELOG.md

@@ -0,0 +1,24 @@
+# 更新日志
+
+
+## v0.0.2.20240925_alpha
+
+**在之前写的代码基础上正式建立此项目文件，后续将在此项目上进行迭代开发**
+### 🔄Changed
+- 加载配置文件变更为绝对路径，会自动寻找exe文件所在文件夹的上层文件夹下的"configs/data_collection_configs.yaml"文件作为配置文件
+
+### 🚀Refactored
+- 将.bat文件修改为.ps1文件，即默认使用powershell编译
+    - 实现"./run.ps1"直接运行build文件夹下的所有exe文件
+    - 实现"./run.ps1 b"重新编译，并随后直接运行build文件夹下的所有exe文件
+    - 实现"./run.ps1 p"打包编译好的文件，注意要先执行编译才能打包, 注意在CmakeList.txt文件中修改版本号
+
+
+
+## v0.0.1.20240912_alpha
+
+**在之前写的代码基础上正式建立此项目文件，后续将在此项目上进行迭代开发**
+### ⭐️Features
+- 根据配置文件启动光谱相机并不断保存光谱数据到文件夹
+- 自动点击选择光谱相机
+- 可打包生成生产环境中的文件

CMakeLists.txt

@@ -4,13 +4,13 @@ cmake_minimum_required(VERSION 3.20)
 # 设置指定的C++编译器版本是必须的，如果不设置，或者为OFF，则指定版本不可用时，会使用上一版本。
 set(CMAKE_CXX_STANDARD_REQUIRED ON)
 
-# 指定为C++20 版本
+# 指定为C++23 版本
-set(CMAKE_CXX_STANDARD 20)
+set(CMAKE_CXX_STANDARD 23)
 
-set(PROJ_NAME "TEST_Specim_Save")
+set(PROJ_NAME "SEMS-data-collection")
 set(PROJ_VERSION_MAJOR 0)
 set(PROJ_VERSION_MINOR 0)
-set(PROJ_VERSION_PATCH 1)
+set(PROJ_VERSION_PATCH 4.20241011_alpha)
 
 #设置项目名字为HelloWorld
 project(${PROJ_NAME})
@@ -22,27 +22,60 @@ include_directories(${PROJECT_SOURCE_DIR}/include)
 
 
 #要链接的库文件所在的路径
-link_directories(${PROJECT_SOURCE_DIR}/lib)
+link_directories (${PROJECT_SOURCE_DIR}/lib)
 add_library(SpectralCameraLib "${PROJECT_SOURCE_DIR}/src/spectral_camera.cpp")
 add_library(DisplayLib "${PROJECT_SOURCE_DIR}/src/display.cpp")
-add_library(DataPreprocessLib "${PROJECT_SOURCE_DIR}/src/data_preprocess.cpp")
+# add_library(DataPreprocessLib "${PROJECT_SOURCE_DIR}/src/data_preprocess.cpp")
-add_library(VisibleLightCameraLIB "${PROJECT_SOURCE_DIR}/src/visible_light_camera.cpp")
+# add_library(VisibleLightCameraLIB "${PROJECT_SOURCE_DIR}/src/visible_light_camera.cpp")
+add_library(UtilsLIB "${PROJECT_SOURCE_DIR}/src/utils.cpp")
 
-link_directories(${PROJECT_SOURCE_DIR}/../CompliteEnv/Python37)
+# link_directories (${PROJECT_SOURCE_DIR}/../CompliteEnv/Python37)
 
 
 #编译${PROJECT_SOURCE_DIR}/src/main.cpp在这个cpp文件为名为HelloWorld可执行文件
 add_executable(${PROJ_NAME} "${PROJECT_SOURCE_DIR}/src/main.cpp")
 
 #链接动态链接库
-target_link_libraries(${PROJ_NAME} PUBLIC yaml-cpp)
+# target_link_libraries(${PROJ_NAME} PUBLIC yaml-cpp)
 
 target_link_libraries(${PROJ_NAME} PUBLIC SpectralCameraLib)
 target_link_libraries(${PROJ_NAME} PUBLIC SpecSensor)
-target_link_libraries(${PROJ_NAME} PUBLIC VisibleLightCameraLIB)
+# target_link_libraries(${PROJ_NAME} PUBLIC VisibleLightCameraLIB)
 
 
 target_link_libraries(${PROJ_NAME} PUBLIC DisplayLib)
 
-target_link_libraries(${PROJ_NAME} PUBLIC opencv_core490 opencv_highgui490 opencv_imgproc490 opencv_photo490 opencv_imgcodecs490 opencv_video490 opencv_videoio490) 
+target_link_libraries(${PROJ_NAME} PUBLIC opencv_core490 opencv_highgui490 opencv_imgproc490) 
-target_link_libraries(${PROJ_NAME} PUBLIC DataPreprocessLib)
+# target_link_libraries(${PROJ_NAME} PUBLIC DataPreprocessLib)
+target_link_libraries(${PROJ_NAME} PUBLIC UtilsLIB)
+
+
+
+# 设置RPATH（运行时库搜索路径）(仅linux下可用)
+# set_target_properties(${PROJ_NAME} PROPERTIES
+#     INSTALL_RPATH "$ORIGIN/../lib"
+# )
+
+# set(CMAKE_INSTALL_RPATH "$origin/../lib")
+
+# 安装规则
+install(TARGETS ${PROJECT_NAME} DESTINATION .)
+# install(DIRECTORY lib/* DESTINATION .)
+install(DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR}/lib/
+        DESTINATION .
+        USE_SOURCE_PERMISSIONS
+        FILES_MATCHING PATTERN "*")
+
+# 包括 CPack 打包配置
+# include(InstallRequiredSystemLibraries)
+
+
+if (CMAKE_CURRENT_SOURCE_DIR STREQUAL CMAKE_SOURCE_DIR)
+    set(CPACK_PACKAGE_VERSION_MAJOR "${PROJ_VERSION_MAJOR}")
+    set(CPACK_PACKAGE_VERSION_MINOR "${PROJ_VERSION_MINOR}")
+    set(CPACK_PACKAGE_VERSION_PATCH "${PROJ_VERSION_PATCH}")
+    set(CPACK_GENERATOR "ZIP")
+    include(CPack)
+endif()
+
+

README.md

@@ -3,20 +3,21 @@
 注意检查上层目录是否含有CompliteEnv文件夹, 以及其中依赖的编译环境
 
 # 功能
-实现了测试光谱相机缓存机制的代码，确定了Specim FX10e相机默认的缓冲区是500帧图片
+- 使用`/configs/data_collection_configs.yaml`文件中的参数，配置光谱相机，并持续采集数据保存到指定文件夹
-光谱数据调取路径是，我们自己写的程序->官方驱动->通过网线从相机获取
-- 当程序读取速度大于拍摄速度时，程序会等拍摄完一帧再返回。
-- 当程序读取速度小于拍摄速度时，驱动会缓存没有及时调取的图像，然后按先进先出的原则返回最旧的一帧图像。当缓存大于500帧时，驱动会清除所有缓存，然后重新进行缓存
-
-因此，如果想每时每刻都获取最新的一帧图像，只需要将缓冲区设置为2，（经过测试，设置为1会卡死，应该是不能同时操作同一个内存地址）
 
 
 # 命令手册
 
-- run rb        : ReBuild  从头编译的命令, 适用于从来没编译过，或修改CMakeLists文件后重新编译。会先删除build文件夹，再重新编译
+- ./run.ps1  : 执行build文件夹下的所有exe可执行程序
-- run rb e      : ReBuild Execute 从头编译并执行
+- ./run.ps1 b        : ReBuild  从头编译的命令, 适用于从来没编译过，或修改CMakeLists文件后重新编译。会先删除build文件夹，再重新编译
-- run.bat b     : Build 编译，适用于已生成过Makefile且CMakeLists.txt没有变化，仅仅需要重新编译生成exe文件
+- ./run.ps1 p      : Pack 打包项目，需先用`./run.ps1 b`编译，然后修改CMakeLists文件中的版本号
-- run.bat b e  : Build Execute 从头编译并执行
+
-- run.bat e      : Execute 运行可执行文件
+# 使用方法
-- run.bat c      : Clear 清理Build文件夹
+1. 在本地开发时，使用`./run.ps1 b`进行编译并查看效果
-- run.bat p       : Pack 打包项目
+2. 开发过程中使用git进行版本管理，可同步代码到服务器`git@10.8.8.8:222/zhanpeng/SEMS-data-collection.git`
+3. 开发完毕使用`./run.ps1 p`打包为zip，
+4. release上述文件到gitea
+5. 在部署设备上下载最新的发布版本
+获取最新版本
+http://10.8.8.8:3000/api/v1/repos/zhanpeng/SEMS-data-collection/releases/latest?token=e9aaae4b5f7756d0a2977764dbcbdfeb68bb2e13
+https://gitea.zhanpeng.life/api/v1/repos/zhanpeng/SEMS-data-collection/releases/latest?token=e9aaae4b5f7756d0a2977764dbcbdfeb68bb2e13

include/utils.h

@@ -1,4 +1,20 @@
-#ifndef _SPECTRAL_CAMERA_H
+#ifndef _UYILS_H
-#define _SPECTRAL_CAMERA_H
+#define _UYILS_H
 
+struct Configs
+{
+    bool isEmpty = false;
+    int SPECTRUM_deviceTypeIndex;
+    double SPECTRUM_FrameRate;
+    double SPECTRUM_ExposureTime;
+    int SPECTRUM_BinningSpatial;
+    int SPECTRUM_BinningSpectral;
+    bool SPECTRUM_BinningAverage;
+    long long SPECTRUM_RingBufferSize;
+    std::string RAWDATA_Folder;
+    unsigned long long RAWDATA_MaxSize;
+};
+
+Configs getConfigFromEnvVar();
+bool AddExePathtoPATH();
 #endif

run.bat

@@ -1,100 +0,0 @@
-@echo off
-
-@REM @REM 检查环境变量
-call:check_path
-
-@REM 判断第一个参数是否为rb
-if "%1"=="rb"  (  
-
-    @REM 判断是否存在build文件夹，若存在就删除
-    call:remove_build_dir
-
-    @REM 编译生成Makefile
-    cmake -B build -G "MinGW Makefiles"
-    @REM 编译生成可执行程序
-    cmake --build build
-
-    @REM 判断第二个参数是否为e，如果有代表要执行编译好的可执行程序
-    if "%2"=="e" (
-        call:run_build_exe
-    )
-)
-
-@REM run.bat b    : Build 编译，适用于已生成过Makefile且CMakeLists.txt没有变化，仅仅需要重新编译生成exe文件
-@REM run.bat b e  : Build Execute 从头编译并执行
-
-@REM 判断第一个参数是否为rb
-if "%1"=="b"  (  
-
-    
-
-    @REM 编译生成可执行程序
-    cmake --build build
-
-    @REM 判断第二个参数是否为e，如果有代表要执行编译好的可执行程序
-    if "%2"=="e" (
-        call:run_build_exe
-    )
-)
-
-@REM run.bat e  : Execute 运行可执行文件
-if "%1"=="e" (
-
-    call:run_build_exe
-    
-)
-
-
-
-
-@REM run.bat c  : Clear 清理Build文件夹
-if "%1"=="c" (
-   call:remove_build_dir
-)
-
-
-
-@REM run.bat e  : 打包
-if "%1"=="p" (
-    @REM 判断环境变量中是否存在编译所需要的文件夹，如果没有，就添加到环境变量
-
-    @REM 编译生成Makefile
-    cmake -B build -G "MinGW Makefiles"
-    @REM 编译生成可执行程序
-    cmake --build build
-    @REM 打包为安装包
-    cmake --build build --target package
-)
-
-
-@REM  在执行完过程后加上goto :eof跳到文件尾, 避免执行到文件结束才返回
-goto :eof
-
-
-:check_path
-@REM 判断环境变量中是否存在编译所需要的文件夹，如果没有，就添加到环境变量
-set Nowdir=%cd%
-cd ../CompliteEnv
-call set_temp_env.bat
-cd %Nowdir%
-set PATH=C:\Program Files\Common Files\Pleora\eBUS SDK;%cd%\lib;%PATH%
-echo PATH is seted to %PATH%
-goto:eof
-
-
-:run_build_exe
-echo Starting to run EXE files in build folder...
-@REM 遍历build下的exe文件，并一个一个的执行（其实编译后只有一个可执行文件）
-for /f %%i in ('dir /b build\*.exe') do .\build\%%i
-echo Stoped runing EXE files... 
-goto:eof
-
-:remove_build_dir
- if exist build (
-        rd /s /Q build
-        echo "The build folder has been removed."
-    ) else (
-        echo "The build folder does not exist."
-    )
-
-goto:eof

run.ps1

@@ -0,0 +1,70 @@
+Param($cmd)
+
+#在 PowerShell 中将字符集修改为 UTF-8：
+$OutputEncoding = [System.Console]::OutputEncoding = [System.Console]::InputEncoding = [System.Text.Encoding]::UTF8
+
+
+$Env:PATH = "C:\Program Files\Common Files\Pleora\eBUS SDK;"  #开发光谱相机所必需的路径
+$Env:PATH += "C:\Program Files\Git\cmd;C:\Windows\System32\OpenSSH;" #开发所需的git/ssh命令的路径
+$Env:PATH += (Resolve-Path ../CompliteEnv/mingw64/bin).path + ";"   #g++所在路径
+$Env:PATH += (Resolve-Path ../CompliteEnv/CMake/bin).path + ";" #cmake所在路径
+$Env:PATH += (Resolve-Path ./lib).path + ";" #本项目所需的动态链接库所在路径
+
+Write-Host "PATH is set to  $Env:PATH"
+
+
+function Remove-Build-Dir {
+    If (Test-Path "build") {
+        #如果当前目录下build文件夹存在
+        Remove-Item -Path "build" -Recurse  #递归阐述build文件夹
+    }
+    
+}
+
+
+function ReBuild-Target {
+    # 编译生成Makefile
+    cmake -B build -G "MinGW Makefiles"
+    # 编译生成可执行程序
+    cmake --build build   
+}
+
+
+function Run-All-Exe {
+    $exeFiles = Get-ChildItem -Path "build" -Filter *.exe
+
+    Write-Host "Exe Files: $exeFiles"
+    ForEach ($exeFile in $exeFiles) {
+        Write-Host "Processing file: $($exeFile.FullName)"
+        Start-Process -Wait -FilePath $exeFile.FullName -NoNewWindow -PassThru 
+    }
+}
+
+
+
+
+
+If ($cmd -eq "b") {
+    Write-Host "Rebuilding all targets..."
+
+    Remove-Build-Dir 
+
+    ReBuild-Target
+
+    Run-All-Exe
+}
+
+
+If ($cmd -eq "p") {
+    Write-Host "Packing all targets..."
+    cmake --build build --target package
+}
+
+If ([String]::IsNullOrEmpty($cmd)) {
+    #如果没有任何参数就运行所有exe
+    Run-All-Exe
+}
+
+
+
+

src/display.cpp

@@ -10,50 +10,55 @@
 
 #include <string>
 // #include <vector>
+int64_t last_t = std::chrono::duration_cast<std::chrono::milliseconds>(std::chrono::system_clock::now().time_since_epoch()).count();
 
-
+void display_spectral_image(unsigned char *raw_data, long long width, long long height, std::string window_name)
-void display_spectral_image(unsigned char *raw_data, long long width, long long height,std::string window_name)
 {
-    cv::Mat img = cv::Mat(height, width,CV_16U, raw_data);
+    cv::Mat img = cv::Mat(height, width, CV_16U, raw_data);
 
     img.convertTo(img, CV_16F);
     img = img / 4095 * 255;
     img.convertTo(img, CV_8U);
     cv::applyColorMap(img, img, cv::COLORMAP_TURBO);
     cv::namedWindow("Spectral Image", 0);
-    cv::resizeWindow("Spectral Image", width , height );
+    cv::resizeWindow("Spectral Image", width, height);
 
+    uint16_t *p = (uint16_t *)raw_data;
 
-     uint16_t *p = (uint16_t *)raw_data;
+    cv::Vec3b white = img.at<cv::Vec3b>(0, 0);
+    white[0] = 0;
+    white[1] = 0;
+    white[2] = 0;
 
-     cv::Vec3b white= img.at<cv::Vec3b>(0, 0);
+    int over_exposure_num = 0;
-     white[0]=0;
+    int max_intensity = 0;
-     white[1]=0;
+    for (int i = 0; i < width; i++)
-     white[2]=0;
+    {
-
+        for (int j = 0; j < height; j++)
-     int over_exposure_num=0;
+        {
-     int max_intensity=0;
+            if (*(p + (j * width + i)) == 4095)
-     for(int i=0;i<width;i++){
+            {
-            for(int j=0;j<height;j++){
+                img.at<cv::Vec3b>(j, i) = white;
-                if(*(p+(j*width+i))==4095){
+                over_exposure_num++;
-                    img.at<cv::Vec3b>(j,i)=white;
+            }
-                    over_exposure_num++;
+            if (*(p + (j * width + i)) > max_intensity)
-                } 
+            {
-                if (*(p+(j*width+i))>max_intensity){
+                max_intensity = *(p + (j * width + i));
-                    max_intensity=*(p+(j*width+i));
+            }
-                }
         }
-        }
+    }
-    std::string add_text=std::string("Over Exposure:")+std::to_string(over_exposure_num)+std::string("  Max Intensity:")+std::to_string(max_intensity);
+
-    cv::putText(img,add_text.c_str(),cv::Point(30,400),cv::FONT_HERSHEY_SIMPLEX,1,CV_RGB(255,255,255),1,8);
+    int64_t t = std::chrono::duration_cast<std::chrono::milliseconds>(std::chrono::system_clock::now().time_since_epoch()).count();
+
+    std::string add_text = std::string("Over Exposure:") + std::to_string(over_exposure_num) + std::string("  Max Intensity:") + std::to_string(max_intensity) + "  FPS:" + std::to_string(1000 / (double)(t - last_t));
+    last_t = t;
+    cv::putText(img, add_text.c_str(), cv::Point(10, 20), cv::FONT_HERSHEY_SIMPLEX, 0.5, CV_RGB(255, 255, 255), 1, 2);
     cv::imshow(window_name, img);
     cv::waitKey(1);
 }
 
-
 void display_img(cv::Mat img, std::string window_name)
 {
     cv::imshow(window_name, img);
     cv::waitKey(1); // Wait for a keystroke in the window
 }
-

src/main.cpp

@@ -1,28 +1,31 @@
-#include <windows.h>
 #include <iostream>
-#include <cstdio>
+#include <format>
+#include <utils.h>
+
+// #include <windows.h>
+
+// #include <cstdio>
 #include <conio.h>
 #include "spectral_camera.h"
-#include "yaml-cpp/yaml.h"
+// #include "yaml-cpp/yaml.h"
 #include "display.h"
-#include "data_preprocess.h"
+// #include "data_preprocess.h"
 
-#include <chrono>
+// #include <chrono>
-#include <vector>
+// #include <vector>
-#include <opencv2/core.hpp>
+// #include <opencv2/core.hpp>
-#include <opencv2/highgui.hpp>
+// #include <opencv2/highgui.hpp>
 #include <fstream>
 
-#include "visible_light_camera.h"
+// #include "visible_light_camera.h"
-
+// #include <windows.h>
 
 #include <chrono>
 
+extern unsigned long long int last_file_time = 0;
+extern unsigned long long int frame_num = 0;
 
-extern unsigned long long int last_file_time=0;
+int check_update_file_handle(std::string save_dir, std::ofstream &h_raw_spectal_file, std::ofstream &h_header_file, unsigned long long max_file_size)
-extern unsigned long long int frame_num=0;
-
-int check_update_file_handle(std::string save_dir, std::ofstream &h_raw_spectal_file, std::ofstream &h_header_file, unsigned long long max_file_size, std::ofstream &h_visible_light_file, bool enable_visible_light_camera)
 {
     if (h_raw_spectal_file.is_open())
     {
@@ -35,95 +38,72 @@ int check_update_file_handle(std::string save_dir, std::ofstream &h_raw_spectal_
     h_raw_spectal_file.open((raw_data_file_name + std::string(".bin").data()), std::ios::out | std::ios::binary | std::ios::app);
     h_header_file.open((raw_data_file_name + std::string(".csv").data()), std::ios::out | std::ios::app);
 
-    if (enable_visible_light_camera)
+    unsigned long long int now = (unsigned long long int)now_t;
+    if (last_file_time != 0)
     {
-        if (h_visible_light_file.is_open())
+        float t = (float)(now - last_file_time) / 1000;
-    {
-        h_visible_light_file.close();
-    }
-
-        h_visible_light_file.open((raw_data_file_name + std::string(".img").data()), std::ios::out | std::ios::binary | std::ios::app);
-    }
-
-    unsigned long long int now=(unsigned long long int)now_t;
-    if (last_file_time!=0){
-        float t=(float)(now-last_file_time)/1000;
         // std::cout<<now<<last_file_time<<t<<frame_num<<std::endl;
-        float fps= frame_num/t;
+        float fps = frame_num / t;
-        printf("FPS %.2f\n",fps);
+        printf("文件%lld的帧率为  %.2f\n", last_file_time, fps);
-        frame_num=0;
+        frame_num = 0;
     }
 
-    last_file_time=now;
+    last_file_time = now;
 
     return 0;
 }
 
-
-
 int main()
 {
-    // std::cout << "Hello" << std::endl;
+    std::cout << "Hello World" << std::endl;
-    YAML::Node configs = YAML::LoadFile("./configs/configs.yaml");
+    Configs configs = getConfigFromEnvVar();
+
+    if (configs.isEmpty)
+    {
+        return -1;
+    };
+
+    if (!AddExePathtoPATH())
+    {
+        return -1;
+    }
 
     SpectralCamera *spec_camera = new SpectralCamera();
     spec_camera->listDevices();
 
-    spec_camera->init(configs["spectral_camera_configs"]["deviceTypeIndex"].as<int>(),
+    spec_camera->init(configs.SPECTRUM_deviceTypeIndex,
-                      configs["spectral_camera_configs"]["FrameRate"].as<double>(),
+                      configs.SPECTRUM_FrameRate,
-                      configs["spectral_camera_configs"]["ExposureTime"].as<double>(),
+                      configs.SPECTRUM_ExposureTime,
-                      configs["spectral_camera_configs"]["BinningSpatial"].as<int>(),
+                      configs.SPECTRUM_BinningSpatial,
-                      configs["spectral_camera_configs"]["BinningSpectral"].as<int>(),
+                      configs.SPECTRUM_BinningSpectral,
-                      configs["spectral_camera_configs"]["BinningAverage"].as<bool>(),
+                      configs.SPECTRUM_BinningAverage,
-                      configs["spectral_camera_configs"]["RingBufferSize"].as<long long>());
+                      configs.SPECTRUM_RingBufferSize);
 
-    bool enable_visible_light_camera = configs["visible_light_camera_configs"]["enable"].as<bool>();
+    std::ofstream h_raw_spectal_file, h_header_file;
-    std::string save_dir = configs["save_configs"]["save_dir"].as<std::string>();
+    check_update_file_handle(configs.RAWDATA_Folder, h_raw_spectal_file, h_header_file, configs.RAWDATA_MaxSize);
-    unsigned long long max_file_size = configs["save_configs"]["max_file_size"].as<unsigned long long>();
-
-    VisibleLightCamera *visible_light_camera = NULL;
-    if (enable_visible_light_camera)
-    {
-        visible_light_camera = new VisibleLightCamera();
-        visible_light_camera->init(configs["visible_light_camera_configs"]["video_capture_index"].as<int>());
-    }
-
-std::ofstream h_raw_spectal_file,h_header_file, h_visible_light_file;
-check_update_file_handle(save_dir, h_raw_spectal_file, h_header_file, max_file_size, h_visible_light_file, enable_visible_light_camera);
     bool flag_run = true;
     while (flag_run)
     {
 
-
         spec_camera->read();
-         spec_camera->save(h_raw_spectal_file, h_header_file);
+        spec_camera->save(h_raw_spectal_file, h_header_file);
-         frame_num++;
+        frame_num++;
 
+        display_spectral_image(spec_camera->pFrameBuffer, spec_camera->nWidth, spec_camera->nHeight, "Spectral Image");
 
-        display_spectral_image(spec_camera->pFrameBuffer, spec_camera->nWidth, spec_camera->nHeight,"Spectral Image");
+        h_header_file << std::endl;
 
-
+        if (h_raw_spectal_file.tellp() > configs.RAWDATA_MaxSize)
-        // 如果启动了可见光相机
+        {
-            if (enable_visible_light_camera)
+            check_update_file_handle(configs.RAWDATA_Folder, h_raw_spectal_file, h_header_file, configs.RAWDATA_MaxSize);
-            {
-                visible_light_camera->read();
-                visible_light_camera->save(h_visible_light_file, h_header_file);
-                display_img(visible_light_camera->image_frame, "Camera");
-            } 
-
-            h_header_file << std::endl;
-
-
-        if (h_raw_spectal_file.tellp()>max_file_size){
-check_update_file_handle(save_dir, h_raw_spectal_file, h_header_file, max_file_size, h_visible_light_file, enable_visible_light_camera);
         }
 
         if (_kbhit())
         {
             char key = _getch();
-            if ( (key == 27)|(key == 'q'))
+            if ((key == 27) | (key == 'q'))
             {
-                flag_run=false;
+                flag_run = false;
             }
         }
     }
@@ -131,15 +111,12 @@ check_update_file_handle(save_dir, h_raw_spectal_file, h_header_file, max_file_s
     spec_camera->close();
     delete spec_camera;
     if (h_raw_spectal_file.is_open())
-        {
+    {
-            h_raw_spectal_file.close();
+        h_raw_spectal_file.close();
-        }
+    }
-        if (h_header_file.is_open())
+    if (h_header_file.is_open())
-        {
+    {
-            h_header_file.close();
+        h_header_file.close();
-        }
+    }
-        if (h_visible_light_file.is_open())
+    return 0;
-        {
-            h_visible_light_file.close();
-        }
 }

src/spectral_camera.cpp

@@ -46,6 +46,20 @@ Error:
 
 int SpectralCamera::init(int deviceTypeIndex, double FrameRate, double ExposureTime, int BinningSpatial, int BinningSpectral, bool BinningAverage, long long RingBufferSize)
 {
+
+    // char szPath[512] = {0};
+    // GetModuleFileName(NULL, szPath, sizeof(szPath) - 1);
+    // std::string exe_dir(szPath);
+
+    // // 这里返回的是exe文件的完整路径，包括文件名，所以下面执行两边，就是先取出exe文件名，再去除exe所在文件夹
+    // // 即实现找到exe所在文件夹的上层文件夹的绝对路径
+    // size_t lastSlashIndex = exe_dir.find_last_of('\\');
+    // std::string autoclick_path = exe_dir.substr(0, lastSlashIndex + 1) + "autoClick.exe"; //+1是为了也包含最后一个反斜杠
+    // wchar_t *wstr = new wchar_t[autoclick_path.length() + 1];
+    // mbstowcs(wstr, autoclick_path.c_str(), autoclick_path.length() + 1);
+
+    // wprintf(L"Started autoClick.exe in %ls\n", wstr);
+
     HINSTANCE state = ShellExecuteW(NULL, L"open", L"autoClick.exe", NULL, NULL, SW_SHOW);
     // autoClick.exe以及依赖的msvcp140d.dll，ucrtbased.dll，vcruntime140d.dll在lib文件夹中
     wprintf(L"Started autoClick.exe. The state code is %d\n", state);
@@ -66,7 +80,7 @@ int SpectralCamera::init(int deviceTypeIndex, double FrameRate, double ExposureT
             this->ExposureTime,
             this->BinningSpatial,
             this->BinningSpectral,
-            this->BinningAverage,this->RingBufferSize);
+            this->BinningAverage, this->RingBufferSize);
     wprintf(L"******************************************************\n");
 
     SI_CHK(SI_Open(this->deviceTypeIndex, &this->deviceHandle));
@@ -123,7 +137,6 @@ Error:
     return -1;
 }
 
-
 int SpectralCamera::stop(void)
 {
     SI_CHK(SI_Command(this->deviceHandle, L"Acquisition.Stop"));
@@ -136,7 +149,6 @@ Error:
     return -1;
 }
 
-
 int SpectralCamera::start(void)
 {
     SI_CHK(SI_Command(this->deviceHandle, L"Acquisition.Start"));
@@ -149,9 +161,9 @@ Error:
     return -1;
 }
 
-int SpectralCamera::reset_FrameRate( double Value)
+int SpectralCamera::reset_FrameRate(double Value)
 {
-        SI_CHK(SI_SetFloat(this->deviceHandle, L"Camera.FrameRate", Value));
+    SI_CHK(SI_SetFloat(this->deviceHandle, L"Camera.FrameRate", Value));
     return 0;
 Error:
     if (SI_FAILED(nError))
@@ -161,9 +173,9 @@ Error:
     return -1;
 }
 
-int SpectralCamera::reset_ExposureTime( double Value)
+int SpectralCamera::reset_ExposureTime(double Value)
 {
-        SI_CHK(SI_SetFloat(this->deviceHandle, L"Camera.ExposureTime", Value));
+    SI_CHK(SI_SetFloat(this->deviceHandle, L"Camera.ExposureTime", Value));
     return 0;
 Error:
     if (SI_FAILED(nError))
@@ -182,7 +194,6 @@ void SpectralCamera::save(std::ofstream &h_raw_spectral_file, std::ofstream &h_h
     h_header_file << now_t << "," << raw_spectral_file_size << "," << this->nFrameSize;
 }
 
-
 int SpectralCamera::read(void)
 {
     SI_CHK(SI_Wait(this->deviceHandle, this->pFrameBuffer, &this->nFrameSize, &this->nFrameNumber, 10000));

src/utils.cpp

@@ -1,3 +1,188 @@
-#include <chrono>
+// #include <chrono>
 
-const auto t = std::chrono::duration_cast<std::chrono::milliseconds>(std::chrono::system_clock::now().time_since_epoch()).count();
+// const auto t = std::chrono::duration_cast<std::chrono::milliseconds>(std::chrono::system_clock::now().time_since_epoch()).count();
+
+#include <iostream>
+#include <windows.h>
+
+#include <utils.h>
+
+bool AddExePathtoPATH()
+{
+    /*将当前可执行文件所在的路径添加到环境变量中*/
+    wchar_t szPath[512] = {0};
+    if (GetModuleFileNameW(NULL, szPath, sizeof(szPath) - 1) == 0)
+    {
+        std::cerr << "获取exe文件路径失败." << std::endl;
+        return false;
+    }
+
+    std::wstring exe_dir(szPath);
+    size_t lastSlashIndex = exe_dir.find_last_of('\\');
+    if (lastSlashIndex == std::wstring::npos)
+    {
+        std::cerr << "获取exe文件路径中的反斜杠失败." << std::endl;
+        return false;
+    }
+    exe_dir = exe_dir.substr(0, lastSlashIndex);
+
+    wchar_t currentPath[32767];
+    if (GetEnvironmentVariableW(L"PATH", currentPath, 32767) == 0)
+    {
+        std::cerr << "获取当前环境变量PATH失败" << std::endl;
+        return false;
+    }
+
+    std::wstring newPath = exe_dir + L";" + std::wstring(currentPath);
+    if (SetEnvironmentVariableW(L"PATH", newPath.c_str()) == 0)
+    {
+        std::cerr << "添加当前路径到环境变量PATH失败" << std::endl;
+        return false;
+    }
+
+    return true;
+}
+
+Configs getConfigFromEnvVar()
+
+{
+    /*检查*/
+
+    Configs configs;
+
+    std::cout << "***********正在检查此程序所需的环境变量************" << std::endl;
+
+    // char buffer[1024];
+    // DWORD ret = GetEnvironmentVariableW(L"TEST", buffer, 1024);
+    wchar_t buffer[32767];
+    DWORD result;
+    try
+    {
+
+        result = GetEnvironmentVariableW(L"SPECTRUM_deviceTypeIndex", buffer, 32767);
+        if (result > 0 && result < 32767)
+        {
+            configs.SPECTRUM_deviceTypeIndex = std::stoi(std::wstring(buffer));
+            std::cout << "光谱相机设备型号索引(SPECTRUM_deviceTypeIndex)为\t" << configs.SPECTRUM_deviceTypeIndex << std::endl;
+        }
+        else
+        {
+            std::cout << "未获取到光谱相机设备型号索引(SPECTRUM_deviceTypeIndex)" << std::endl;
+            configs.isEmpty = true;
+        }
+
+        result = GetEnvironmentVariableW(L"SPECTRUM_FrameRate", buffer, 32767);
+        if (result > 0 && result < 32767)
+        {
+            configs.SPECTRUM_FrameRate = std::stod(std::wstring(buffer));
+            std::cout << "光谱相机帧率(SPECTRUM_FrameRate)为\t" << configs.SPECTRUM_FrameRate << std::endl;
+        }
+        else
+        {
+            std::cout << "未获取到光谱相机帧率(SPECTRUM_FrameRate)" << std::endl;
+            configs.isEmpty = true;
+        }
+
+        result = GetEnvironmentVariableW(L"SPECTRUM_ExposureTime", buffer, 32767);
+        if (result > 0 && result < 32767)
+        {
+            configs.SPECTRUM_ExposureTime = std::stod(std::wstring(buffer));
+            std::cout << "光谱相机曝光时间(SPECTRUM_ExposureTime)为\t" << configs.SPECTRUM_ExposureTime << std::endl;
+        }
+        else
+        {
+            std::cout << "未获取到光谱相机曝光时间(SPECTRUM_ExposureTime)" << std::endl;
+            configs.isEmpty = true;
+        }
+
+        result = GetEnvironmentVariableW(L"SPECTRUM_BinningSpatial", buffer, 32767);
+        if (result > 0 && result < 32767)
+        {
+            configs.SPECTRUM_BinningSpatial = std::stoi(std::wstring(buffer));
+            std::cout << "光谱相机空间像素组合(SPECTRUM_BinningSpatial)为\t" << configs.SPECTRUM_BinningSpatial << std::endl;
+        }
+        else
+        {
+            std::cout << "未获取到光谱相机空间像素组合(SPECTRUM_BinningSpatial)" << std::endl;
+            configs.isEmpty = true;
+        }
+
+        result = GetEnvironmentVariableW(L"SPECTRUM_BinningSpectral", buffer, 32767);
+        if (result > 0 && result < 32767)
+        {
+            configs.SPECTRUM_BinningSpectral = std::stoi(std::wstring(buffer));
+            std::cout << "光谱相机光谱像素组合(SPECTRUM_BinningSpectral)为\t" << configs.SPECTRUM_BinningSpectral << std::endl;
+        }
+        else
+        {
+            std::cout << "未获取到光谱相机光谱像素组合(SPECTRUM_BinningSpectral)" << std::endl;
+            configs.isEmpty = true;
+        }
+
+        result = GetEnvironmentVariableW(L"SPECTRUM_BinningAverage", buffer, 32767);
+        if (result > 0 && result < 32767)
+        {
+
+            int tmp = std::stoi(std::wstring(buffer));
+            configs.SPECTRUM_BinningAverage = tmp;
+            std::cout << "光谱相机是否组合平均(SPECTRUM_BinningAverage)为\t" << configs.SPECTRUM_BinningAverage << std::endl;
+        }
+        else
+        {
+            std::cout << "未获取到光谱相机是否组合平均(SPECTRUM_BinningAverage)" << std::endl;
+            configs.isEmpty = true;
+        }
+
+        result = GetEnvironmentVariableW(L"SPECTRUM_RingBufferSize", buffer, 32767);
+        if (result > 0 && result < 32767)
+        {
+            configs.SPECTRUM_RingBufferSize = std::stoll(std::wstring(buffer));
+            std::cout << "光谱相机循环缓存大小(SPECTRUM_RingBufferSize)为\t" << configs.SPECTRUM_RingBufferSize << std::endl;
+        }
+        else
+        {
+            std::cout << "未获取到光谱相机循环缓存大小(SPECTRUM_RingBufferSize)" << std::endl;
+            configs.isEmpty = true;
+        }
+
+        result = GetEnvironmentVariableW(L"RAWDATA_Folder", buffer, 32767);
+        if (result > 0 && result < 32767)
+        {
+            std::wstring tmp = std::wstring(buffer);
+
+            configs.RAWDATA_Folder = std::string(tmp.begin(), tmp.end());
+            // wstring转成string
+
+            std::cout << "原始光谱数据保存路径(RAWDATA_Folder)为\t" << configs.RAWDATA_Folder << std::endl;
+        }
+        else
+        {
+            std::cout << "未获取到原始数据保存路径(RAWDATA_Folder)" << std::endl;
+            configs.isEmpty = true;
+        }
+
+        result = GetEnvironmentVariableW(L"RAWDATA_MaxSize", buffer, 32767);
+        if (result > 0 && result < 32767)
+        {
+            configs.RAWDATA_MaxSize = std::stoull(std::wstring(buffer));
+            std::cout << "原始数据文件最大大小(RAWDATA_MaxSize)为\t" << configs.RAWDATA_MaxSize << " Byte" << std::endl;
+        }
+        else
+        {
+            std::cout << "未获取到原始数据文件最大大小(RAWDATA_MaxSize)" << std::endl;
+            configs.isEmpty = true;
+        }
+    }
+    catch (const std::invalid_argument &e)
+    {
+        std::cerr << "Invalid argument: " << e.what() << std::endl;
+        configs.isEmpty = true;
+    }
+    catch (const std::out_of_range &e)
+    {
+        std::cerr << "Out of range: " << e.what() << std::endl;
+        configs.isEmpty = true;
+    }
+
+    return configs;
+}