#pragma once

#include "vp_infer_node.h"

namespace vp_nodes {
    // primary infer node, it is the base class of infer node which MUST infer on the whole frame.
    class vp_primary_infer_node: public vp_infer_node {
    private:
    protected:
        // define how to prepare data
        virtual void prepare(const std::vector<std::shared_ptr<vp_objects::vp_frame_meta>>& frame_meta_with_batch, std::vector<cv::Mat>& mats_to_infer) override;
    public:
        vp_primary_infer_node(std::string node_name, 
                            std::string model_path, 
                            std::string model_config_path = "", 
                            std::string labels_path = "", 
                            int input_width = 640, 
                            int input_height = 640, 
                            int batch_size = 1,
                            int class_id_offset = 0,
                            float scale = 1.0,
                            cv::Scalar mean = cv::Scalar(123.675, 116.28, 103.53),  // imagenet dataset
                            cv::Scalar std = cv::Scalar(1),
                            bool swap_rb = true,
                            bool swap_chn = false);
        ~vp_primary_infer_node();

        // because maybe multi primary infer nodes exist in one pipeline, 
        // we need an offset value to ensure each class id is unique and has not conflict.
        // the class_id_offset should be the sum of class ids in previous vp_primary_infer_node of pipe.
        int class_id_offset;
    };
}