#pragma once
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#ifdef VP_WITH_TRT
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#include "../vp_secondary_infer_node.h"
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#include "../../third_party/trt_yolov8/trt_yolov8_classifier.h"
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namespace vp_nodes {
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// universal yolov8 classifier based on tensorrt using third_party/trt_yolov8 library
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class vp_trt_yolov8_classifier: public vp_secondary_infer_node
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{
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private:
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/* data */
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std::shared_ptr<trt_yolov8::trt_yolov8_classifier> yolov8_classifier = nullptr;
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protected:
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// we need a totally new logic for the whole infer combinations
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// no separate step pre-defined needed in base class
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virtual void run_infer_combinations(const std::vector<std::shared_ptr<vp_objects::vp_frame_meta>>& frame_meta_with_batch) override;
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// override pure virtual method, for compile pass
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virtual void postprocess(const std::vector<cv::Mat>& raw_outputs, const std::vector<std::shared_ptr<vp_objects::vp_frame_meta>>& frame_meta_with_batch) override;
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public:
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vp_trt_yolov8_classifier(std::string node_name,
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std::string model_path,
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std::string labels_path = "",
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std::vector<int> p_class_ids_applied_to = std::vector<int>(),
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int min_width_applied_to = 0,
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int min_height_applied_to = 0);
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~vp_trt_yolov8_classifier();
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};
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}
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#endif
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