add samples

wangrong

2025-03-19 291afb9c81aae1d15d9e3edcea618d0a2e1fc5a6

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#pragma once 
 
#include "../vp_primary_infer_node.h" 
#include "../../objects/vp_frame_face_target.h" 
 
namespace vp_nodes { 
    // face detector based on YunNet 
    // https://github.com/opencv/opencv/blob/4.x/modules/objdetect/src/face_detect.cpp 
    // https://github.com/ShiqiYu/libfacedetection 
    class vp_yunet_face_detector_node: public vp_primary_infer_node 
    { 
    private: 
        // names of output layers in yunet 
        const std::vector<std::string> out_names = {"loc", "conf", "iou"}; 
        float scoreThreshold = 0.7; 
        float nmsThreshold = 0.5; 
        int topK = 50; 
        int inputW; 
        int inputH; 
        std::vector<cv::Rect2f> priors; 
        void generatePriors(); 
    protected: 
        // override infer and preprocess as yunet has a different logic 
        virtual void infer(const cv::Mat& blob_to_infer, std::vector<cv::Mat>& raw_outputs) override; 
        virtual void preprocess(const std::vector<cv::Mat>& mats_to_infer, cv::Mat& blob_to_infer) override; 
 
        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; 
    public: 
        vp_yunet_face_detector_node(std::string node_name, std::string model_path, float score_threshold = 0.7, float nms_threshold = 0.5, int top_k = 50); 
        ~vp_yunet_face_detector_node(); 
    }; 
 
}