fa818303
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增加闯红灯功能(特定场景);优化货...
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#pragma once
#include <deque>
#include <map>
#include <vector>
#include <memory>
#include "../util/vpc_util.h"
#include "../ai_platform/task_param_manager.h"
#include "../ai_platform/macro_definition.h"
#include "ai_engine_header.h"
#include "traffic_light_det.h"
#include "acl/acl.h"
#include "acl/ops/acl_dvpp.h"
#define MAX_BATCH 20
#define IMAGE_CROP_EXPAND_RATIO 0
#define MAX_OBJ_BOX_COUNT 100
#define MAX_LANE_NUM 100
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Zhao Shuaihua
闯红灯增加场景自适应、轨迹约束;逆...
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#define PRECISION 1e-8
#define Pi 3.14159265358979
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fa818303
Zhao Shuaihua
增加闯红灯功能(特定场景);优化货...
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namespace ai_engine_module
{
namespace traffic_light_process
{
// typedef long id_t;
using id_t = obj_key_t;
using task_id_t = std::string;
using algor_param_type = algor_config_param_manned_incident*;
enum class label_t {
PLACEHOLDER = -1,
red = 0, //直行红灯
green = 1, //直行绿灯
yellow = 2, //直行黄灯
wred = 3, //转向红灯
wgreen = 4, //转向绿灯
wyellow = 5, //转向黄灯
pred = 6, //行人红灯
pyellow = 7, //行人黄灯
pgreen = 8, //行人绿灯
bred = 9, //自行车红灯
byellow = 10, //自行车黄灯
bgreen = 11, //自行车绿灯
no = 12, //灭灯
};
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b17e0e69
Zhao Shuaihua
闯红灯增加场景自适应、轨迹约束;逆...
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enum class seg_label_t {
PLACEHOLDER = -1,
background = 0, //背景
vehicle_lanes = 1, //机动车道
nonvehicle_lanes = 2, //非机动车道
emerg_lanes = 3, //应急车道
guide_line = 4, //导流线
crosswalk = 5, //人行横道
no_parking_area = 6, //禁停区域
interestion_area = 7, //十字路口区域
yellow_solidline = 8, //黄实线
white_solidline = 9, //白实线
white_dottedline = 10, //虚线
yellow_dottedline = 11, //黄虚线
};
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fa818303
Zhao Shuaihua
增加闯红灯功能(特定场景);优化货...
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typedef struct input_data_wrap_t
{
id_t id;
long objId;
std::string taskId;
box_t box;
} input_data_wrap_t;
typedef struct tr_point {
float x, y;
}tr_point;
typedef struct mn_frame_t
{
uint m_frame;
uint n_frame;
// explicit
mn_frame_t(uint m = 0, uint n = 0)
: m_frame(m)
, n_frame(n)
{}
void reset()
{
m_frame = 0;
n_frame = 0;
}
} mn_frame_t;
typedef struct results_data_t
{
box_t box;
acldvppPicDesc* origin_img_desc{nullptr};
acldvppPicDesc* roi_img_desc{nullptr};
id_t id;
long objId;
std::string taskId;
algorithm_type_t algor_type;
} results_data_t;
class TrafficLightProcess
{
/**
* @brief
* 1. move able
*/
public:
TrafficLightProcess();
~TrafficLightProcess();
bool check_initied();
bool init(int gpu_id, string models_dir);
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b17e0e69
Zhao Shuaihua
闯红灯增加场景自适应、轨迹约束;逆...
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// bool update_mstreams(const std::vector<task_id_t>& taskIds, vector<sy_img> src_interest_imgs, vector<DeviceMemory*> vec_det_input_images, const std::vector<onelevel_det_result> &det_results);
bool update_mstreams(const std::vector<task_id_t>& taskIds, vector<sy_img> src_interest_imgs, vector<DeviceMemory*> vec_det_input_images, const vector<vector<vector<int>>>& traffic_region, const vector<vector<int>>& labels, map<OBJ_KEY, OBJ_INDEX> &m_total_obj_info, const std::vector<onelevel_det_result> &det_results);
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Zhao Shuaihua
增加闯红灯功能(特定场景);优化货...
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std::shared_ptr<results_data_t> get_result_by_objectid(const id_t& id, bool do_erase = true);
void force_release_result(const task_id_t& task_id);
TrafficLightProcess(const TrafficLightProcess&) = delete;
TrafficLightProcess& operator=(const TrafficLightProcess&) = delete;
private:
static algorithm_type_t algor_type_;
int m_devId;
aclrtContext m_algorthim_ctx;
bool init_;
void* tools_;
task_param_manager* task_param_manager_;
std::map<id_t, mn_frame_t> id_to_mn_;
std::map<id_t, results_data_t> id_to_result_;
};
} // namespace traffic_light_process
} // namespace ai_engine_module
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