mirror of https://github.com/Xaymar/obs-StreamFX
55 lines
1.4 KiB
C++
55 lines
1.4 KiB
C++
// AUTOGENERATED COPYRIGHT HEADER START
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// Copyright (C) 2021-2023 Michael Fabian 'Xaymar' Dirks <info@xaymar.com>
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// AUTOGENERATED COPYRIGHT HEADER END
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#pragma once
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#include "nvidia-ar-feature.hpp"
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#include "nvidia/cuda/nvidia-cuda-gs-texture.hpp"
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#include "nvidia/cuda/nvidia-cuda-obs.hpp"
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#include "nvidia/cuda/nvidia-cuda.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 "obs/gs/gs-texture.hpp"
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namespace streamfx::nvidia::ar {
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class facedetection : public feature {
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std::shared_ptr<::streamfx::nvidia::cv::texture> _input;
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std::shared_ptr<::streamfx::nvidia::cv::image> _source;
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std::shared_ptr<::streamfx::nvidia::cv::image> _tmp;
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std::vector<rect_t> _rects;
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std::vector<float> _rects_confidence;
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bounds_t _bboxes;
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bool _dirty;
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public:
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~facedetection();
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/** Create a new face detection feature.
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*
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* Must be in a graphics and CUDA context when calling.
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*/
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facedetection();
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std::pair<size_t, size_t> tracking_limit_range();
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size_t tracking_limit();
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void set_tracking_limit(size_t v);
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void process(std::shared_ptr<::streamfx::obs::gs::texture> in);
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size_t count();
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rect_t const& at(size_t index);
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rect_t const& at(size_t index, float& confidence);
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private:
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void resize(uint32_t width, uint32_t height);
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void load();
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};
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} // namespace streamfx::nvidia::ar
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