#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_vehicle/models/vehicle_feature_encoder.h"
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namespace vp_nodes {
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// vehicle feature encoder based on tensorrt using trt_vehicle library
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// update embeddings of vp_frame_target
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class vp_trt_vehicle_feature_encoder: 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_vehicle::VehicleFeatureEncoder> vehicle_feature_encoder = 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_vehicle_feature_encoder(std::string node_name, std::string vehicle_feature_model_path = "", std::vector<int> p_class_ids_applied_to = std::vector<int>(), int min_width_applied_to = 0, int min_height_applied_to = 0);
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~vp_trt_vehicle_feature_encoder();
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};
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}
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#endif
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