mirror of
https://github.com/Xaymar/obs-StreamFX
synced 2024-11-11 14:25:05 +00:00
233 lines
8.1 KiB
C++
233 lines
8.1 KiB
C++
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// Copyright (c) 2021 Michael Fabian Dirks <info@xaymar.com>
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//
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// Permission is hereby granted, free of charge, to any person obtaining a copy
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// of this software and associated documentation files (the "Software"), to deal
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// in the Software without restriction, including without limitation the rights
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// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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// copies of the Software, and to permit persons to whom the Software is
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// furnished to do so, subject to the following conditions:
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//
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// The above copyright notice and this permission notice shall be included in all
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// copies or substantial portions of the Software.
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//
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// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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// SOFTWARE.
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#include "nvidia-ar.hpp"
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#include <filesystem>
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#include <mutex>
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#include "nvidia/cuda/nvidia-cuda-obs.hpp"
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#include "obs/gs/gs-helper.hpp"
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#include "util/util-logging.hpp"
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#include "util/util-platform.hpp"
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#ifdef _DEBUG
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#define ST_PREFIX "<%s> "
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#define D_LOG_ERROR(x, ...) P_LOG_ERROR(ST_PREFIX##x, __FUNCTION_SIG__, __VA_ARGS__)
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#define D_LOG_WARNING(x, ...) P_LOG_WARN(ST_PREFIX##x, __FUNCTION_SIG__, __VA_ARGS__)
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#define D_LOG_INFO(x, ...) P_LOG_INFO(ST_PREFIX##x, __FUNCTION_SIG__, __VA_ARGS__)
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#define D_LOG_DEBUG(x, ...) P_LOG_DEBUG(ST_PREFIX##x, __FUNCTION_SIG__, __VA_ARGS__)
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#else
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#define ST_PREFIX "<nvidia::ar::ar> "
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#define D_LOG_ERROR(...) P_LOG_ERROR(ST_PREFIX __VA_ARGS__)
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#define D_LOG_WARNING(...) P_LOG_WARN(ST_PREFIX __VA_ARGS__)
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#define D_LOG_INFO(...) P_LOG_INFO(ST_PREFIX __VA_ARGS__)
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#define D_LOG_DEBUG(...) P_LOG_DEBUG(ST_PREFIX __VA_ARGS__)
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#endif
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#ifdef WIN32
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#include <KnownFolders.h>
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#include <ShlObj.h>
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#include <Windows.h>
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#define ST_LIBRARY_NAME "nvARPose.dll"
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#else
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#define ST_LIBRARY_NAME "libnvARPose.so"
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#endif
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#define P_NVAR_LOAD_SYMBOL(NAME) \
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{ \
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NAME = reinterpret_cast<decltype(NAME)>(_library->load_symbol(#NAME)); \
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if (!NAME) \
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throw std::runtime_error("Failed to load '" #NAME "' from '" ST_LIBRARY_NAME "'."); \
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}
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streamfx::nvidia::ar::ar::~ar()
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{
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D_LOG_DEBUG("Finalizing... (Addr: 0x%" PRIuPTR ")", this);
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#ifdef WIN32
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// Remove the DLL directory from the library loader paths.
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if (_extra != nullptr) {
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RemoveDllDirectory(reinterpret_cast<DLL_DIRECTORY_COOKIE>(_extra));
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}
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#endif
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{ // The library may need to release Graphics and CUDA resources.
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auto gctx = ::streamfx::obs::gs::context();
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auto cctx = ::streamfx::nvidia::cuda::obs::get()->get_context()->enter();
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_library.reset();
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}
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}
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streamfx::nvidia::ar::ar::ar() : _library(), _model_path()
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{
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std::filesystem::path sdk_path;
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auto gctx = ::streamfx::obs::gs::context();
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auto cctx = ::streamfx::nvidia::cuda::obs::get()->get_context()->enter();
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D_LOG_DEBUG("Initializating... (Addr: 0x%" PRIuPTR ")", this);
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// Figure out where the Augmented Reality SDK is, if it is installed.
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#ifdef WIN32
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{
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// NVAR SDK only defines NVAR_MODEL_PATH, so we'll use that as our baseline.
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DWORD env_size = GetEnvironmentVariableW(L"NVAR_MODEL_PATH", nullptr, 0);
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if (env_size > 0) {
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std::vector<wchar_t> buffer(static_cast<size_t>(env_size) + 1, 0);
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env_size = GetEnvironmentVariableW(L"NVAR_MODEL_PATH", buffer.data(), buffer.size());
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_model_path = std::wstring(buffer.data(), buffer.size());
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// The SDK is location one directory "up" from the model path.
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sdk_path = std::filesystem::path(_model_path) / "..";
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}
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// If the environment variable wasn't set and our model path is still undefined, guess!
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if (sdk_path.empty()) {
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PWSTR str = nullptr;
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HRESULT res = SHGetKnownFolderPath(FOLDERID_ProgramFiles, KF_FLAG_DEFAULT, nullptr, &str);
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if (res == S_OK) {
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sdk_path = std::wstring(str);
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sdk_path /= "NVIDIA Corporation";
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sdk_path /= "NVIDIA AR SDK";
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CoTaskMemFree(str);
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// Model path is in 'models' subdirectory.
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_model_path = sdk_path;
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_model_path /= "models";
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}
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}
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// Figure out absolute paths to everything.
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_model_path = streamfx::util::platform::native_to_utf8(std::filesystem::absolute(_model_path));
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sdk_path = streamfx::util::platform::native_to_utf8(std::filesystem::absolute(sdk_path));
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}
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#else
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throw std::runtime_error("Not yet implemented.");
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#endif
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// Check if any of the found paths are valid.
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if (!std::filesystem::exists(sdk_path)) {
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D_LOG_ERROR("No supported NVIDIA SDK is installed to provide '%s'.", ST_LIBRARY_NAME);
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throw std::runtime_error("Failed to load '" ST_LIBRARY_NAME "'.");
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}
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// Try and load the library.
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{
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#ifdef WIN32
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// On platforms where it is possible, modify the linker directories.
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DLL_DIRECTORY_COOKIE ck = AddDllDirectory(sdk_path.wstring().c_str());
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_extra = reinterpret_cast<void*>(ck);
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if (ck == 0) {
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DWORD ec = GetLastError();
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std::string error;
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{
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LPWSTR str;
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FormatMessageW(FORMAT_MESSAGE_FROM_SYSTEM | FORMAT_MESSAGE_ALLOCATE_BUFFER
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| FORMAT_MESSAGE_IGNORE_INSERTS,
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nullptr, ec, MAKELANGID(LANG_ENGLISH, SUBLANG_ENGLISH_US),
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reinterpret_cast<LPWSTR>(&str), 0, nullptr);
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error = ::streamfx::util::platform::native_to_utf8(std::wstring(str));
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LocalFree(str);
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}
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D_LOG_WARNING("Failed to add '%'s to the library loader paths with error: %s (Code %" PRIu32 ")",
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sdk_path.string().c_str(), error.c_str(), ec);
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}
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#endif
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std::filesystem::path paths[] = {
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ST_LIBRARY_NAME,
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std::filesystem::path(sdk_path) / ST_LIBRARY_NAME,
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};
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for (auto path : paths) {
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try {
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_library = ::streamfx::util::library::load(path);
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} catch (std::exception const& ex) {
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D_LOG_ERROR("Failed to load '%s' with error: %s", path.string().c_str(), ex.what());
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} catch (...) {
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D_LOG_ERROR("Failed to load '%s'.", path.string().c_str());
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}
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if (_library) {
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break;
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}
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}
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if (!_library) {
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#ifdef WIN32
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// Remove the DLL directory from the library loader paths.
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if (_extra != nullptr) {
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RemoveDllDirectory(reinterpret_cast<DLL_DIRECTORY_COOKIE>(_extra));
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}
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#endif
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throw std::runtime_error("Failed to load " ST_LIBRARY_NAME ".");
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}
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}
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{ // Load Symbols
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P_NVAR_LOAD_SYMBOL(NvAR_GetVersion);
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P_NVAR_LOAD_SYMBOL(NvAR_Create);
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P_NVAR_LOAD_SYMBOL(NvAR_Destroy);
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P_NVAR_LOAD_SYMBOL(NvAR_Run);
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P_NVAR_LOAD_SYMBOL(NvAR_Load);
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P_NVAR_LOAD_SYMBOL(NvAR_GetS32);
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P_NVAR_LOAD_SYMBOL(NvAR_SetS32);
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P_NVAR_LOAD_SYMBOL(NvAR_GetU32);
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P_NVAR_LOAD_SYMBOL(NvAR_SetU32);
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P_NVAR_LOAD_SYMBOL(NvAR_GetU64);
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P_NVAR_LOAD_SYMBOL(NvAR_SetU64);
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P_NVAR_LOAD_SYMBOL(NvAR_GetF32);
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P_NVAR_LOAD_SYMBOL(NvAR_SetF32);
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P_NVAR_LOAD_SYMBOL(NvAR_GetF64);
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P_NVAR_LOAD_SYMBOL(NvAR_SetF64);
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P_NVAR_LOAD_SYMBOL(NvAR_GetString);
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P_NVAR_LOAD_SYMBOL(NvAR_SetString);
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P_NVAR_LOAD_SYMBOL(NvAR_GetCudaStream);
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P_NVAR_LOAD_SYMBOL(NvAR_SetCudaStream);
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P_NVAR_LOAD_SYMBOL(NvAR_GetObject);
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P_NVAR_LOAD_SYMBOL(NvAR_SetObject);
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P_NVAR_LOAD_SYMBOL(NvAR_GetF32Array);
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P_NVAR_LOAD_SYMBOL(NvAR_SetF32Array);
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}
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{ // Assign proper GPU.
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auto cctx = ::streamfx::nvidia::cuda::obs::get()->get_context()->enter();
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NvAR_SetU32(nullptr, P_NVAR_CONFIG "GPU", 0);
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}
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}
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std::filesystem::path const& streamfx::nvidia::ar::ar::get_model_path()
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{
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return _model_path;
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}
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std::shared_ptr<streamfx::nvidia::ar::ar> streamfx::nvidia::ar::ar::get()
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{
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static std::weak_ptr<streamfx::nvidia::ar::ar> instance;
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static std::mutex lock;
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std::unique_lock<std::mutex> ul(lock);
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if (instance.expired()) {
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auto hard_instance = std::make_shared<streamfx::nvidia::ar::ar>();
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instance = hard_instance;
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return hard_instance;
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}
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return instance.lock();
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}
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