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https://github.com/Xaymar/obs-StreamFX
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nvidia/ar/feature: Add wrapper for AR features
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3 changed files with 300 additions and 0 deletions
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@ -1061,6 +1061,8 @@ if(HAVE_NVIDIA_AR_SDK)
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list(APPEND PROJECT_PRIVATE_SOURCE
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"source/nvidia/ar/nvidia-ar.hpp"
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"source/nvidia/ar/nvidia-ar.cpp"
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"source/nvidia/ar/nvidia-ar-feature.hpp"
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"source/nvidia/ar/nvidia-ar-feature.cpp"
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)
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list(APPEND PROJECT_LIBRARIES
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NVIDIA::AR
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93
source/nvidia/ar/nvidia-ar-feature.cpp
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93
source/nvidia/ar/nvidia-ar-feature.cpp
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@ -0,0 +1,93 @@
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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-feature.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::feature> "
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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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streamfx::nvidia::ar::feature::~feature()
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{
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D_LOG_DEBUG("Finalizing... (Addr: 0x%" PRIuPTR ")", this);
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}
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streamfx::nvidia::ar::feature::feature(feature_t feature)
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: _nvcuda(::streamfx::nvidia::cuda::obs::get()), _nvcv(::streamfx::nvidia::cv::cv::get()),
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_nvar(::streamfx::nvidia::ar::ar::get()), _fx()
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{
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D_LOG_DEBUG("Initializating... (Addr: 0x%" PRIuPTR ")", this);
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auto gctx = ::streamfx::obs::gs::context();
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auto cctx = cuda::obs::get()->get_context()->enter();
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// Create the Effect/Feature.
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::streamfx::nvidia::ar::handle_t handle;
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if (cv::result res = _nvar->NvAR_Create(feature, &handle); res != cv::result::SUCCESS) {
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throw cv::exception("Failed to create feature.", res);
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}
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_fx =
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std::shared_ptr<void>(handle, [this](::streamfx::nvidia::ar::handle_t handle) { _nvar->NvAR_Destroy(handle); });
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// Set CUDA stream and model directory.
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set(P_NVAR_CONFIG "CUDAStream", _nvcuda->get_stream());
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_model_path = _nvar->get_model_path().generic_u8string();
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set(P_NVAR_CONFIG "ModelDir", _model_path);
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}
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streamfx::nvidia::cv::result streamfx::nvidia::ar::feature::get(parameter_t param, std::string_view& value)
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{
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const char* cvalue = nullptr;
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cv::result res = get(param, cvalue);
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if (res == cv::result::SUCCESS) {
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if (cvalue) {
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value.swap(std::string_view(cvalue));
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} else {
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value.swap(std::string_view());
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}
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}
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return res;
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}
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streamfx::nvidia::cv::result streamfx::nvidia::ar::feature::get(parameter_t param, std::string& value)
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{
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const char* cvalue = nullptr;
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cv::result res = get(param, cvalue);
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if (res == cv::result::SUCCESS) {
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if (cvalue) {
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value = cvalue;
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} else {
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value.clear();
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}
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}
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return res;
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}
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205
source/nvidia/ar/nvidia-ar-feature.hpp
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205
source/nvidia/ar/nvidia-ar-feature.hpp
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@ -0,0 +1,205 @@
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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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#pragma once
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#include <string_view>
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#include "nvidia/ar/nvidia-ar.hpp"
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#include "nvidia/cuda/nvidia-cuda-obs.hpp"
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#include "nvidia/cv/nvidia-cv-image.hpp"
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#include "nvidia/cv/nvidia-cv-texture.hpp"
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#include "nvidia/cv/nvidia-cv.hpp"
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namespace streamfx::nvidia::ar {
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class feature {
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protected:
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std::shared_ptr<::streamfx::nvidia::cuda::obs> _nvcuda;
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std::shared_ptr<::streamfx::nvidia::cv::cv> _nvcv;
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std::shared_ptr<::streamfx::nvidia::ar::ar> _nvar;
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std::shared_ptr<void> _fx;
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std::string _model_path;
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public:
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~feature();
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feature(feature_t feature);
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::streamfx::nvidia::ar::handle_t get()
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{
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return _fx.get();
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}
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public /* Int32 */:
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inline cv::result set(parameter_t param, uint32_t const value)
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{
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return _nvar->NvAR_SetU32(_fx.get(), param, value);
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}
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inline cv::result get(parameter_t param, uint32_t* value)
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{
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return _nvar->NvAR_GetU32(_fx.get(), param, value);
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}
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inline cv::result set(parameter_t param, int32_t const value)
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{
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return _nvar->NvAR_SetS32(_fx.get(), param, value);
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}
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inline cv::result get(parameter_t param, int32_t* value)
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{
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return _nvar->NvAR_GetS32(_fx.get(), param, value);
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}
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public /* Int64 */:
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inline cv::result set(parameter_t param, uint64_t const value)
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{
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return _nvar->NvAR_SetU64(_fx.get(), param, value);
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}
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inline cv::result get(parameter_t param, uint64_t* value)
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{
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return _nvar->NvAR_GetU64(_fx.get(), param, value);
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}
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public /* Float32 */:
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inline cv::result set(parameter_t param, float const value)
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{
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return _nvar->NvAR_SetF32(_fx.get(), param, value);
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}
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inline cv::result get(parameter_t param, float* value)
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{
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return _nvar->NvAR_GetF32(_fx.get(), param, value);
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}
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inline cv::result set(parameter_t param, float* const value, int32_t size)
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{
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return _nvar->NvAR_SetF32Array(_fx.get(), param, value, static_cast<int32_t>(size));
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}
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inline cv::result get(parameter_t param, const float* value, int32_t size)
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{
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return _nvar->NvAR_GetF32Array(_fx.get(), param, &value, &size);
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}
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inline cv::result set(parameter_t param, std::vector<float> const& value)
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{
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return _nvar->NvAR_SetF32Array(_fx.get(), param, value.data(), static_cast<int32_t>(value.size()));
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}
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inline cv::result get(parameter_t param, std::vector<float>& value)
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{
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const float* data;
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int32_t size;
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cv::result result;
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result = _nvar->NvAR_GetF32Array(_fx.get(), param, &data, &size);
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value.resize(size);
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memcpy(value.data(), data, size * sizeof(float));
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return result;
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}
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public /* Float64 */:
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inline cv::result set(parameter_t param, double const value)
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{
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return _nvar->NvAR_SetF64(_fx.get(), param, value);
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}
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inline cv::result get(parameter_t param, double* value)
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{
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return _nvar->NvAR_GetF64(_fx.get(), param, value);
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}
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public /* String */:
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inline cv::result set(parameter_t param, const char* const value)
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{
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return _nvar->NvAR_SetString(_fx.get(), param, value);
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};
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inline cv::result get(parameter_t param, const char*& value)
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{
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return _nvar->NvAR_GetString(_fx.get(), param, &value);
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};
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inline cv::result set(parameter_t param, std::string_view const value)
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{
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return _nvar->NvAR_SetString(_fx.get(), param, value.data());
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};
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cv::result get(parameter_t param, std::string_view& value);
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inline cv::result set(parameter_t param, std::string const& value)
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{
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return _nvar->NvAR_SetString(_fx.get(), param, value.c_str());
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};
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cv::result get(parameter_t param, std::string& value);
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public /* CUDA Stream */:
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inline cv::result set(parameter_t param, cuda::stream_t const value)
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{
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return _nvar->NvAR_SetCudaStream(_fx.get(), param, value);
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};
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inline cv::result get(parameter_t param, cuda::stream_t& value)
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{
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return _nvar->NvAR_GetCudaStream(_fx.get(), param, &value);
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};
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inline cv::result set(parameter_t param, std::shared_ptr<::streamfx::nvidia::cuda::stream> const value)
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{
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return _nvar->NvAR_SetCudaStream(_fx.get(), param, value->get());
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}
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//inline cv::result get(parameter_t param, std::shared_ptr<::streamfx::nvidia::cuda::stream> value);
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public /* CV Image */:
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inline cv::result set(parameter_t param, cv::image_t& value)
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{
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return _nvar->NvAR_SetObject(_fx.get(), param, &value, sizeof(cv::image_t));
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};
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inline cv::result get(parameter_t param, cv::image_t*& value)
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{
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return _nvar->NvAR_GetObject(_fx.get(), param, reinterpret_cast<object_t*>(&value), sizeof(cv::image_t));
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};
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inline cv::result set(parameter_t param, std::shared_ptr<cv::image> const value)
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{
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return _nvar->NvAR_SetObject(_fx.get(), param, value->get_image(), sizeof(cv::image_t));
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};
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//inline cv::result get(parameter_t param, std::shared_ptr<cv::image>& value);
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public /* CV Texture */:
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inline cv::result set(parameter_t param, std::shared_ptr<cv::texture> const value)
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{
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return _nvar->NvAR_SetObject(_fx.get(), param, value->get_image(), sizeof(cv::image_t));
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};
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//inline cv::result get(parameter_t param, std::shared_ptr<cv::image>& value);
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public /* Objects */:
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inline cv::result set_object(parameter_t param, void* const data, size_t size)
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{
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return _nvar->NvAR_SetObject(_fx.get(), param, data, static_cast<uint32_t>(size));
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}
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inline cv::result get_object(parameter_t param, void*& data, size_t size)
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{
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return _nvar->NvAR_GetObject(_fx.get(), param, &data, static_cast<uint32_t>(size));
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}
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public /* Control */:
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inline cv::result load()
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{
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return _nvar->NvAR_Load(_fx.get());
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}
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inline cv::result run()
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{
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return _nvar->NvAR_Run(_fx.get());
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}
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};
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} // namespace streamfx::nvidia::ar
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