mirror of
https://github.com/Xaymar/obs-StreamFX
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43f1dcf205
Ever wished you had a professional camera operator to highlight and follow the action, ensuring the audience never misses a beat? Thanks to NVIDIA, you can now do this at home for free! The new NVIDIA AR SDK unlocks augmented reality features, including motion tracking for faces. This allows me to provide you with an automated zoom and cropping solution for your video camera to transform your streams into a slick, polished broadcast, where you’ll always be the star of the show. Don’t forget - everything is customizable so the possibilities are endless. You can even recreate that Futurama squinting meme if you wanted to (with some scripting)! The filter requires compatible Nvidia RTX hardware and the Nvidia AR SDK Runtime to be installed ahead of time. This filter is considered "stable" and shouldn't change much from version to version.
156 lines
4.3 KiB
C++
156 lines
4.3 KiB
C++
/*
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* Modern effects for a modern Streamer
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* Copyright (C) 2020 Michael Fabian Dirks
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*
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* This program is free software; you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation; either version 2 of the License, or
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* (at your option) any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with this program; if not, write to the Free Software
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* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA
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*/
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#pragma once
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#include <string>
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#include "nvidia-ar.hpp"
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#include "nvidia/cuda/nvidia-cuda-stream.hpp"
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namespace nvidia::ar {
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class feature {
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std::shared_ptr<::nvidia::ar::ar> _ar;
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std::shared_ptr<nvAR_Feature> _feature;
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public:
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feature(std::shared_ptr<::nvidia::ar::ar> ar, NvAR_FeatureID feature);
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~feature();
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public:
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template<typename T>
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inline NvCV_Status set(std::string name, T value);
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template<typename T>
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inline NvCV_Status get(std::string name, T& value);
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template<>
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inline NvCV_Status set(std::string name, std::int32_t value)
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{
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return _ar->set_int32(_feature.get(), name.c_str(), value);
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}
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template<>
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inline NvCV_Status get(std::string name, std::int32_t& value)
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{
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return _ar->get_int32(_feature.get(), name.c_str(), &value);
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}
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template<>
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inline NvCV_Status set(std::string name, std::uint32_t value)
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{
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return _ar->set_uint32(_feature.get(), name.c_str(), value);
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}
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template<>
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inline NvCV_Status get(std::string name, std::uint32_t& value)
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{
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return _ar->get_uint32(_feature.get(), name.c_str(), &value);
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}
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template<>
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inline NvCV_Status set(std::string name, std::uint64_t value)
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{
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return _ar->set_uint64(_feature.get(), name.c_str(), value);
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}
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template<>
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inline NvCV_Status get(std::string name, std::uint64_t& value)
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{
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return _ar->get_uint64(_feature.get(), name.c_str(), &value);
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}
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template<>
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inline NvCV_Status set(std::string name, std::float_t value)
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{
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return _ar->set_float32(_feature.get(), name.c_str(), value);
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}
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template<>
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inline NvCV_Status get(std::string name, std::float_t& value)
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{
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return _ar->get_float32(_feature.get(), name.c_str(), &value);
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}
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template<>
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inline NvCV_Status set(std::string name, std::vector<std::float_t> value)
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{
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return _ar->set_float32_array(_feature.get(), name.c_str(), value.data(),
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static_cast<std::int32_t>(value.size()));
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}
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template<>
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inline NvCV_Status get(std::string name, std::vector<std::float_t>& value)
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{
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// ToDo: Validate this.
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const float* vals = nullptr;
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int val_count = 0;
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NvCV_Status res = _ar->get_float32_array(_feature.get(), name.c_str(), &vals, &val_count);
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if (res != NVCV_SUCCESS) {
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return res;
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} else {
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value.resize(static_cast<size_t>(val_count));
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for (std::size_t idx = 0; idx < static_cast<std::size_t>(val_count); idx++) {
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value[idx] = *vals;
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vals++;
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}
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return res;
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}
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}
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template<>
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inline NvCV_Status set(std::string name, std::double_t value)
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{
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return _ar->set_float64(_feature.get(), name.c_str(), value);
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}
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template<>
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inline NvCV_Status get(std::string name, std::double_t& value)
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{
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return _ar->get_float64(_feature.get(), name.c_str(), &value);
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}
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template<>
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inline NvCV_Status set(std::string name, std::string value)
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{
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return _ar->set_string(_feature.get(), name.c_str(), value.c_str());
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}
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template<>
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inline NvCV_Status get(std::string name, std::string& value)
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{
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// ToDo: Validate this.
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const char* buf;
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NvCV_Status res = _ar->get_string(_feature.get(), name.c_str(), &buf);
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if (res == NVCV_SUCCESS) {
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value = std::string(buf, buf + strlen(buf));
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return res;
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} else {
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return res;
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}
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}
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template<>
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inline NvCV_Status set(std::string name, std::shared_ptr<::nvidia::cuda::stream> value)
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{
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return _ar->set_cuda_stream(_feature.get(), name.c_str(), reinterpret_cast<CUstream>(value->get()));
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}
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template<>
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inline NvCV_Status get(std::string name, std::shared_ptr<::nvidia::cuda::stream>& value)
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{}
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};
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} // namespace nvidia::ar
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