refactor(hwcodec): 简化 hwcodec 库以适配 IP-KVM 场景

移除 IP-KVM 场景不需要的功能模块:
- 移除 VRAM 模块 (GPU 显存直接编解码)
- 移除 Mux 模块 (视频混流)
- 移除 macOS/Android 平台支持
- 移除外部 SDK 依赖 (~9MB)
- 移除开发工具和示例程序

简化解码器为仅支持 MJPEG (采集卡输出格式)
简化 NVIDIA 检测代码 (使用 dlopen 替代 SDK)
更新版本号至 0.8.0
更新相关技术文档

libs/hwcodec/cpp/common/platform/linux/linux.cpp

@@ -2,83 +2,50 @@
 #include "../../log.h"
 #include <cstring>
 #include <dlfcn.h>
-#include <dynlink_cuda.h>
-#include <dynlink_loader.h>
 #include <errno.h>
-#include <exception> // Include the necessary header file
 #include <signal.h>
 #include <sys/prctl.h>
 #include <unistd.h>
 #include <fcntl.h>
 
-namespace
-{
-  void load_driver(CudaFunctions **pp_cuda_dl, NvencFunctions **pp_nvenc_dl,
-                   CuvidFunctions **pp_cvdl)
-  {
-    if (cuda_load_functions(pp_cuda_dl, NULL) < 0)
-    {
-      LOG_TRACE(std::string("cuda_load_functions failed"));
-      throw "cuda_load_functions failed";
-    }
-    if (nvenc_load_functions(pp_nvenc_dl, NULL) < 0)
-    {
-      LOG_TRACE(std::string("nvenc_load_functions failed"));
-      throw "nvenc_load_functions failed";
-    }
-    if (cuvid_load_functions(pp_cvdl, NULL) < 0)
-    {
-      LOG_TRACE(std::string("cuvid_load_functions failed"));
-      throw "cuvid_load_functions failed";
-    }
-  }
-
-  void free_driver(CudaFunctions **pp_cuda_dl, NvencFunctions **pp_nvenc_dl,
-                   CuvidFunctions **pp_cvdl)
-  {
-    if (*pp_cvdl)
-    {
-      cuvid_free_functions(pp_cvdl);
-      *pp_cvdl = NULL;
-    }
-    if (*pp_nvenc_dl)
-    {
-      nvenc_free_functions(pp_nvenc_dl);
-      *pp_nvenc_dl = NULL;
-    }
-    if (*pp_cuda_dl)
-    {
-      cuda_free_functions(pp_cuda_dl);
-      *pp_cuda_dl = NULL;
-    }
-  }
-} // namespace
-
+// Check for NVIDIA driver support by loading CUDA libraries
 int linux_support_nv()
 {
-  try
+  // Try to load NVIDIA CUDA runtime library
+  void *handle = dlopen("libcuda.so.1", RTLD_LAZY);
+  if (!handle)
   {
-    CudaFunctions *cuda_dl = NULL;
-    NvencFunctions *nvenc_dl = NULL;
-    CuvidFunctions *cvdl = NULL;
-    load_driver(&cuda_dl, &nvenc_dl, &cvdl);
-    free_driver(&cuda_dl, &nvenc_dl, &cvdl);
-    return 0;
+    handle = dlopen("libcuda.so", RTLD_LAZY);
   }
-  catch (...)
+  if (!handle)
   {
-    LOG_TRACE(std::string("nvidia driver not support"));
+    LOG_TRACE(std::string("NVIDIA: libcuda.so not found"));
+    return -1;
   }
-  return -1;
+  dlclose(handle);
+
+  // Also check for nvenc library
+  handle = dlopen("libnvidia-encode.so.1", RTLD_LAZY);
+  if (!handle)
+  {
+    handle = dlopen("libnvidia-encode.so", RTLD_LAZY);
+  }
+  if (!handle)
+  {
+    LOG_TRACE(std::string("NVIDIA: libnvidia-encode.so not found"));
+    return -1;
+  }
+  dlclose(handle);
+
+  LOG_TRACE(std::string("NVIDIA: driver support detected"));
+  return 0;
 }
 
 int linux_support_amd()
 {
 #if defined(__x86_64__) || defined(__aarch64__)
-#define AMF_DLL_NAME L"libamfrt64.so.1"
 #define AMF_DLL_NAMEA "libamfrt64.so.1"
 #else
-#define AMF_DLL_NAME L"libamfrt32.so.1"
 #define AMF_DLL_NAMEA "libamfrt32.so.1"
 #endif
   void *handle = dlopen(AMF_DLL_NAMEA, RTLD_LAZY);
@@ -160,4 +127,4 @@ int linux_support_v4l2m2m() {
 
   LOG_TRACE(std::string("V4L2 M2M: No M2M device found"));
   return -1;
-}
+}