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|
|
| #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;
| };
| }
|
|
