pedestrian_vehicle_trespass.hpp
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/*
* File: pedestrian_vehicle_trespass.hpp
* Created Date: Tuesday February 22nd 2022
* Author: yangzilong (yangzilong@objecteye.com)
* Description:
* -----
* Last Modified: Tuesday, 22nd February 2022 4:35:04 pm
* Modified By: yangzilong (yangzilong@objecteye.com>)
* -----
* Copyright 2022
*/
#pragma once
#include "include.h"
#include "opencv2/highgui/highgui.hpp"
#include <deque>
#include <map>
#include <vector>
namespace ai_engine_module {
namespace pedestrian_vehicle_trespass {
using obj_id_t = long;
using task_id_t = std::string;
enum class direction_t {
NEGATIVE = 0,
POSITIVE = 1,
};
struct trace_t {
box_t box;
point_t point;
};
// struct unique_obj_id_t {
// obj_id_t obj_id;
// task_id_t task_id;
// bool operator<(const unique_obj_id_t &obj) const {
// return obj_id < obj.obj_id || (task_id < obj.task_id);
// }
// };
struct unique_obj_id_t {
obj_id_t obj_id;
task_id_t task_id;
// bool operator<(const unique_obj_id_t &obj) const {
// return obj_id < obj.obj_id || (task_id < obj.task_id);
// }
// 221012-------------------------------------------------
bool operator<(const unique_obj_id_t &obj) const {
if (obj_id < obj.obj_id)
return true;
else if (obj_id == obj.obj_id) {
if (strcmp(task_id.c_str(), obj.task_id.c_str()) < 0)
return true;
}
return false;
}
//----------------------------------------------------------
};
typedef struct result_data_t {
box_t box;
sy_img ori_img;
sy_img roi_img;
bool ori_img_is_in_gpu{false};
bool roi_img_is_in_gpu{false};
} result_data_t;
using results_data_t = std::vector<result_data_t>;
using multi_obj_key_t = std::vector<obj_key_t>;
class PedestrianVehicleTrespass {
/**
* @brief
* 1. move able
*/
public:
PedestrianVehicleTrespass();
~PedestrianVehicleTrespass();
void pedestrianvehicletrespass_init_region(const string &task_id, const algorithm_type_t algor_type, const int width,
const int height);
bool update_mstreams(const std::set<task_id_t> &tasks_id, const sy_img *det_input_images,
const std::vector<onelevel_det_result> &det_result, const vector<vector<int>> &delete_objs);
bool update_mstreams2(const std::vector<task_id_t> &tasks_id, const sy_img *det_input_images,
const std::vector<onelevel_det_result> &det_result, const vector<vector<int>> &delete_objs);
std::shared_ptr<results_data_t> get_results_by_id(const obj_key_t &id, bool do_erase = true);
PedestrianVehicleTrespass(const PedestrianVehicleTrespass &) = delete;
PedestrianVehicleTrespass &operator=(const PedestrianVehicleTrespass &) = delete;
PedestrianVehicleTrespass(PedestrianVehicleTrespass &&) = default;
PedestrianVehicleTrespass &operator=(PedestrianVehicleTrespass &&) = default;
private:
bool in_rect_analysis(const obj_key_t &id, const box_t &cur_bos);
task_param_manager *task_param_manager_;
std::map<obj_key_t, results_data_t> obj_to_alarm_boxes_;
std::map<obj_key_t, box_t>
obj_to_position_; // 保存物体上一帧的位置，基于非法闯入判断逻辑，上一帧在框外，下一帧闯入禁区
std::map<obj_key_t, cv::Mat> trespass_regions;
};
} // namespace pedestrian_vehicle_trespass
} // namespace ai_engine_module