Init: Update Intrusion-detection source code

.gitignore

@@ -1,24 +1,40 @@
-# Build artifacts
+# Prerequisites
-build/
+*.d
+
+# Compiled Object files
+*.slo
+*.lo
 *.o
-*.a
+*.obj
-*.so
+
+# Precompiled Headers
+*.gch
+*.pch
+
+# Compiled Dynamic libraries
+*.dylib
 *.dll
+
+# Fortran module files
+*.mod
+*.smod
+
+# Compiled Static libraries
+*.lai
+*.la
+*.a
+*.lib
+
+# Executables
 *.exe
 *.out
+*.app
 
-# IDE and editor files
+*.mp4
-.vscode/
+/build
-.idea/
+/install
-*.suo
+/.vscode
-*.ntvs*
-*.njsproj
-*.sln
-*.swp
 
-# Log files
+*.png
-*.log
+*.jpg
-
+*.mp4
-# Dependency directories
-vendor/
-node_modules/

CMakeLists.txt

@@ -0,0 +1,17 @@
+cmake_minimum_required(VERSION 3.4.1)
+
+set(CMAKE_CXX_STANDARD 14)
+set(CMAKE_CXX_STANDARD_REQUIRED ON)
+
+# 定义整个大项目的名称
+project(EdgeProxyPlatform)
+
+# 打印一条消息，方便调试，确认是顶层CMake在运行
+message(STATUS "Running Top-Level CMake for ${PROJECT_NAME}")
+
+# 使用 add_subdirectory() 命令将 services 目录下的项目包含进来
+# CMake 会自动寻找 services/intrusion-detection/CMakeLists.txt 并执行它
+add_subdirectory(services/intrusion-detection)
+
+# 当你未来添加了车辆识别项目后，只需在这里加一行即可
+# add_subdirectory(services/vehicle-recognition)

libs/librknn_api.so

@@ -0,0 +1 @@
+librknnrt.so

services/intrusion-detection/CMakeLists.txt

@@ -1,61 +1,61 @@
+# CMake 最低版本要求
 cmake_minimum_required(VERSION 3.4.1)
 
-project(rknn_yolov5_demo)
+# 项目名称
+project(IntrusionDetectionService CXX)
 
+# 设置 C++ 标准和编译选项
 set(CMAKE_CXX_STANDARD 14)
 set(CMAKE_CXX_STANDARD_REQUIRED ON)
 set(CMAKE_CXX_FLAGS "-pthread")
 
-# skip 3rd-party lib dependencies
+# --- 1. 定义并查找公共库 (RKNN) ---
-set(CMAKE_EXE_LINKER_FLAGS "${CMAKE_EXE_LINKER_FLAGS} -Wl,--allow-shlib-undefined")
+# 使用相对路径找到顶层目录下的 libs 文件夹
+set(COMMON_LIB_DIR ${CMAKE_SOURCE_DIR}/libs)
+find_library(RKNNRT_LIBRARY rknnrt HINTS ${COMMON_LIB_DIR})
+find_library(RKNNAPI_LIBRARY rknn_api HINTS ${COMMON_LIB_DIR})
 
-# install target and libraries
+if(NOT RKNNRT_LIBRARY OR NOT RKNNAPI_LIBRARY)
-set(CMAKE_INSTALL_PREFIX ${CMAKE_SOURCE_DIR}/install/rknn_yolov5_demo_${CMAKE_SYSTEM_NAME})
+    message(FATAL_ERROR "Could not find RKNN libraries in ${COMMON_LIB_DIR}")
+else()
+    message(STATUS "Found rknnrt: ${RKNNRT_LIBRARY}")
+    message(STATUS "Found rknn_api: ${RKNNAPI_LIBRARY}")
+endif()
 
-set(CMAKE_SKIP_INSTALL_RPATH FALSE)
+# --- 2. 定义并查找其他依赖 (OpenCV, RGA) ---
-set(CMAKE_BUILD_WITH_INSTALL_RPATH TRUE)
-set(CMAKE_INSTALL_RPATH "${CMAKE_INSTALL_PREFIX}/lib")
-
-# rknn api
-set(RKNN_API_PATH ${CMAKE_SOURCE_DIR}/../../runtime/RK3588/${CMAKE_SYSTEM_NAME}/librknn_api)
-set(LIB_ARCH aarch64)
-set(RKNN_RT_LIB ${CMAKE_SOURCE_DIR}/include/librknnrt.so)
-
-#rga
-set(RGA_PATH ${CMAKE_SOURCE_DIR}/include/3rdparty/rga/RK3588)
-set(RGA_LIB ${RGA_PATH}/lib/Linux//${LIB_ARCH}/librga.so)
-
-
-include_directories(${RKNN_API_PATH}/include)
-include_directories(${CMAKE_SOURCE_DIR}/include/3rdparty)
-include_directories(${RGA_PATH}/include)
-
-# opencv
 find_package(OpenCV REQUIRED)
 
-set(CMAKE_INSTALL_RPATH "lib")
+# rga 库的路径，根据您的截图，它位于 include/3rdparty
+set(RGA_PATH ${CMAKE_CURRENT_SOURCE_DIR}/include/3rdparty/rga/RK3588)
+set(RGA_LIB ${RGA_PATH}/lib/Linux/aarch64/librga.so)
+if(NOT EXISTS ${RGA_LIB})
+    message(FATAL_ERROR "RGA library not found at ${RGA_LIB}")
+endif()
 
-
+# --- 3. 生成可执行文件 ---
-# rknn_yolov5_demo
+# (修改点) 根据截图，所有源文件都在 src 目录下，为其添加 "src/" 前缀
-include_directories( ${CMAKE_SOURCE_DIR}/include)
+add_executable(intrusion_detection_service
-
-add_executable(rknn_yolov5_demo
         src/main.cc
         src/postprocess.cc
         src/preprocess.cc
         src/rkYolov5s.cc
 )
 
-target_link_libraries(rknn_yolov5_demo
+# --- 4. 为目标指定头文件搜索路径 ---
-  ${RKNN_RT_LIB}
+# (修改点) 根据截图，所有头文件都在 include 目录下
-  ${OpenCV_LIBS}
+target_include_directories(intrusion_detection_service PUBLIC
-  ${RGA_LIB}
+    ${CMAKE_CURRENT_SOURCE_DIR}/include   # <-- 关键修改
+    ${OpenCV_INCLUDE_DIRS}
+    ${RGA_PATH}/include
+    # 如果有公共头文件，也需要添加路径，例如: ${CMAKE_SOURCE_DIR}/include
 )
 
+# --- 5. 链接所有库到可执行文件 ---
+target_link_libraries(intrusion_detection_service
+    ${RKNNRT_LIBRARY}
+    ${RKNNAPI_LIBRARY}
+    ${RGA_LIB}
+    ${OpenCV_LIBS}
+)
 
-# install target and libraries
+message(STATUS "Configuration for IntrusionDetectionService is complete.")
-set(CMAKE_INSTALL_PREFIX ${CMAKE_SOURCE_DIR}/install/rknn_yolov5_demo_${CMAKE_SYSTEM_NAME})
-install(TARGETS rknn_yolov5_demo DESTINATION ./)
-install(PROGRAMS ${RKNN_RT_LIB} DESTINATION lib)
-install(PROGRAMS ${RGA_LIB} DESTINATION lib)
-install(DIRECTORY model DESTINATION ./)

services/intrusion-detection/src/main.cc

@@ -11,16 +11,9 @@ int main(int argc, char **argv)
 {
     char *model_name = NULL;
     const char* model_path = "/home/forlinx/rknn-cpp-Multithreading-main/model/RK3588/yolov5s-640-640.rknn";
-
-    // if (argc != 3)
-    // {
-    //     printf("Usage: %s <rknn model> <jpg> \n", argv[0]);
-    //     return -1;
-    // }
     // 参数二，模型所在路径/The path where the model is located
-    // model_name = (char *)argv[1];
+
-    // 参数三, 视频/摄像头
+
-    // char *video_name = argv[2];
 
     // 初始化rknn线程池/Initialize the rknn thread pool
     int threadNum = 3;
@@ -31,9 +24,14 @@ int main(int argc, char **argv)
         return -1;
     }
 
-    const char* WINDOW_NAME = "RTSP Fullscreen Display";
+    // const char *video_name = "/home/forlinx/Videos/test_video.mp4";
-    cv::namedWindow(WINDOW_NAME, cv::WINDOW_NORMAL);
+    // cv::VideoCapture capture;
-    cv::setWindowProperty(WINDOW_NAME, cv::WND_PROP_FULLSCREEN, cv::WINDOW_FULLSCREEN);
+    // if (strlen(video_name) == 1)
+    //     capture.open((int)(video_name[0] - '0'));
+    // else
+    //     capture.open(video_name);
+    setenv("OPENCV_FFMPEG_CAPTURE_OPTIONS", "rtsp_transport;tcp", 1);
+    printf("Set RTSP transport protocol to TCP\n");
     std::string rtsp_url = "rtsp://admin:hzx12345@192.168.1.10:554/Streaming/Channels/1301";
     cv::VideoCapture capture(rtsp_url, cv::CAP_FFMPEG);
 
@@ -43,11 +41,14 @@ int main(int argc, char **argv)
         return -1;
     }
     printf("RTSP stream opened successfully!\n");
-    // cv::VideoCapture capture;
+
-    // if (strlen(video_name) == 1)
+
-    //     capture.open((int)(video_name[0] - '0'));
+    const char* WINDOW_NAME = "RTSP Fullscreen Display";
-    // else
+    cv::namedWindow(WINDOW_NAME, cv::WINDOW_NORMAL);
-    //     capture.open(video_name);
+    cv::setWindowProperty(WINDOW_NAME, cv::WND_PROP_FULLSCREEN, cv::WINDOW_FULLSCREEN);
+
+
+
 
     struct timeval time;
     gettimeofday(&time, nullptr);

services/intrusion-detection/src/postprocess.cc

@@ -343,8 +343,6 @@ int post_process(int8_t *input0, int8_t *input1, int8_t *input2, int model_in_h,
 		int id = classId[n];
 		float obj_conf = objProbs[i];
 
-		if (id == 0)
-		{
 		group->results[last_count].box.left = (int)(clamp(x1, 0, model_in_w) / scale_w);
 		group->results[last_count].box.top = (int)(clamp(y1, 0, model_in_h) / scale_h);
 		group->results[last_count].box.right = (int)(clamp(x2, 0, model_in_w) / scale_w);
@@ -358,15 +356,6 @@ int post_process(int8_t *input0, int8_t *input1, int8_t *input2, int model_in_h,
 		//        group->results[last_count].box.right, group->results[last_count].box.bottom, label);
 		last_count++;
 	}
-		// group->results[last_count].box.left = (int)(clamp(x1, 0, model_in_w) / scale_w);
-		// group->results[last_count].box.top = (int)(clamp(y1, 0, model_in_h) / scale_h);
-		// group->results[last_count].box.right = (int)(clamp(x2, 0, model_in_w) / scale_w);
-		// group->results[last_count].box.bottom = (int)(clamp(y2, 0, model_in_h) / scale_h);
-		// group->results[last_count].prop = obj_conf;
-		// char *label = labels[id];
-		// strncpy(group->results[last_count].name, label, OBJ_NAME_MAX_SIZE);
-		// last_count++;
-	}
 	group->count = last_count;
 
 	return 0;

services/intrusion-detection/src/rkYolov5s.cc

@@ -281,6 +281,11 @@ cv::Mat rkYolov5s::infer(cv::Mat &orig_img)
     for (int i = 0; i < detect_result_group.count; i++)
     {
         detect_result_t *det_result = &(detect_result_group.results[i]);
+        
+        // ========================== 修改开始 ==========================
+        // 增加一个判断，只处理标签名称为 "person" 的结果
+        if (strcmp(det_result->name, "person") == 0)
+        {
             sprintf(text, "%s %.1f%%", det_result->name, det_result->prop * 100);
             // 打印预测物体的信息/Prints information about the predicted object
             // printf("%s @ (%d %d %d %d) %f\n", det_result->name, det_result->box.left, det_result->box.top,
@@ -292,6 +297,8 @@ cv::Mat rkYolov5s::infer(cv::Mat &orig_img)
             rectangle(orig_img, cv::Point(x1, y1), cv::Point(x2, y2), cv::Scalar(256, 0, 0, 256), 3);
             putText(orig_img, text, cv::Point(x1, y1 + 12), cv::FONT_HERSHEY_SIMPLEX, 0.4, cv::Scalar(255, 255, 255));
         }
+        // ========================== 修改结束 ==========================
+    }
 
     ret = rknn_outputs_release(ctx, io_num.n_output, outputs);