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tsl_aiplatform/ai_engine_module/pedestrian_safety_det.hpp 3.47 KB
85cc8cb9   Hu Chunming   ๅŽŸ็‰ˆไปฃ็ 
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  /*
   * File: pedestrian_safety_det.hpp
   * Created Date: Tuesday February 15th 2022
   * Author: yangzilong (yangzilong@objecteye.com)
   * Description:
   * -----
   * Last Modified: Tuesday, 15th February 2022 6:19:37 pm
   * Modified By: yangzilong (yangzilong@objecteye.com>)
   * -----
   * Copyright 2022
   */
  
  #pragma once
  
  #include <map>
  #include <vector>
  #include "include.h"
  #include "hat_callsmoke_vestuniform_det.h"
  #include "./strategies/mn_strategy.hpp"
  
  
  #define IMAGE_CROP_EXPAND_RATIO 0
  
  namespace ai_engine_module {
      namespace pedestrian_safety_det {
          /**
           * @brief Single Stream Multi Algor shared detect result.
           *
           */
          enum class label_t {
              PLACEHOLDER = -1,
  
              helmet = 0,
              smoke = 1,
              phone = 2,
              vest = 3,
              uniform = 4,
              suit = 5,
          };
  
  
          using obj_key_to_mn_strategy_t = std::map<obj_key_t, MNStrategy<label_t>>;
  
  
          typedef struct input_data_wrap_t {
              id_t objId;
              std::string taskId;
  
              box_t box;
          } input_data_wrap_t;
  
  #if 0
          struct obj_key_t
          {
              obj_id_t obj_id;
              task_id_t task_id;
              algorithm_type_t algor_type;
  
              const bool operator<(const obj_key_t& obj) const
              {
                  return obj_id < obj.obj_id || task_id < obj.task_id || static_cast<int>(algor_type) < static_cast<int>(obj.algor_type);
              }
          };
  #endif
  
  
          typedef struct result_data_t {
              box_t box;
              sy_img ori_img;
              sy_img roi_img;
              obj_id_t obj_id;  // as person_id.
              std::string task_id;
              std::set <algorithm_type_t> algorithm_type_seq;
              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>;
  
          class PedestrianSafetyDetector {
              /**
               * @brief
               *  1. move able
               */
          public:
              PedestrianSafetyDetector();
  
              ~PedestrianSafetyDetector();
  
              bool is_support(const algorithm_type_t& algor_type) const noexcept;
  
              bool check_initied() const;
  
              bool init(const hat_callsmoke_vestuniform_det_param& initied_params);
  
              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);
  
              std::shared_ptr <results_data_t> get_results_by_id(const unique_obj_id_t& id, bool do_erase = true);
  
              size_t get_number_of_results();
  
              void force_release_result(const task_id_t& task_id);
  
              PedestrianSafetyDetector(const PedestrianSafetyDetector&) = delete;
  
              PedestrianSafetyDetector& operator=(const PedestrianSafetyDetector&) = delete;
  
              PedestrianSafetyDetector(PedestrianSafetyDetector&&) = default;
  
              PedestrianSafetyDetector& operator=(PedestrianSafetyDetector&&) = default;
  
          private:
              // static std::set<algorithm_type_t> algor_type_list_;
              unsigned batch_size_;
  
              bool initied_;
              void* handle_;
              task_param_manager* task_param_manager_;
              obj_key_to_mn_strategy_t obj_key_to_mn_strategy_;
              std::map <unique_obj_id_t, results_data_t> id_to_results_;
          };
      }  // namespace pedestrian_safety_det
  } // namespace ai_engine_module