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陈赣
2026-06-03 12:43:14 +08:00
commit ba76cfae28
608 changed files with 120791 additions and 0 deletions

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nodes/vp_secondary_infer_node.h Executable file
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#pragma once
#include "vp_infer_node.h"
namespace vp_nodes {
// secondary infer node, it is the base class of infer node which MUST infer on small cropped image.
// note: detector such as yolo can be also applied on small cropped images.
class vp_secondary_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;
bool need_apply(int primary_class_id, int target_width, int target_height);
public:
vp_secondary_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,
std::vector<int> p_class_ids_applied_to = std::vector<int>(),
int min_width_applied_to = 0,
int min_height_applied_to = 0,
int crop_padding = 10,
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_secondary_infer_node();
// we do secondary infer logic only if the primary class-id of target is in this vector.
// not all targets in frame should be handled by vp_secondary_infer_node.
std::vector<int> p_class_ids_applied_to;
int crop_padding;
// min height of target to be handled by vp_secondary_infer_node, 0 means no restriction
int min_height_applied_to = 0;
// min width of target to be handled by vp_secondary_infer_node0 means no restriction
int min_width_applied_to = 0;
};
}