vehicle_data 机非人业务
功能介绍
机非人业务:机动车/非机动车/行人相关的智能场景。
机非人业务消息体的message_type值为target_data。
目前行业视频管理服务会处理以下场景:
itgt_type/target_type枚举值:
- 6 机非人业务目标整体信息(摄像机SDC/NVR800开启机非人模式,行人进入区域,会被自动抓拍,提取行人特征信息,如:年龄段、是否戴眼镜、长头发还是短头发、是否戴帽子、衣服款式和颜色等)
- 7 机非人业务机动车信息(摄像机SDC/NVR800开启机非人模式, 机动车进入区域,会被自动抓拍,提取机动车特征信息,如:机动车品牌、款型、车牌号、车牌颜色等)
- 8 机非人业务非机动车信息(摄像机SDC/NVR800开启机非人模式,非机动车进入区域,会被自动抓拍,提取非机动车特征信息,如:非机动车类型、颜色、骑行者的特征信息等)
- 53 非机动车上目标检测(特定混行摄像机SDC开启混行模式,非机动车进入区域,会被自动抓拍,提取非机动车及其骑行者特征信息,如:非机动车类型、颜色、骑行者的特征信息等。注意:与8不同的是,53有更多的关于骑行者的特征信息,如骑行者是否背包、是否有撑伞等)
消息结构体介绍
| 字段名 | 类型 | 说明 | 
|---|---|---|
| device_id | String | 设备ID,正常情况下不为空,必传 | 
| channel_id | String | 通道ID,正常情况下不为空,必传 | 
| data_id | String | 数据ID:正常情况下不为空,必传。可用于查询智能图片数据,参考链接:智能图片下载 | 
| itgt_type | Int | 智能业务场景 枚举值: 
 | 
| report_time | String | 上报时间,示例:2021-03-15T16:43:00+08:00 | 
| global_obj_id | Int64 | 全局ID,设备传入的唯一标识 | 
| lane_id | Int64 | 车道号 | 
| vehicle_direction | Int | 车辆运动方向 枚举值: 
 | 
| plate_char | String | 车牌字符,当检测到机动车属性时传该值 | 
| plate_color | Int | 车牌颜色,当检测到机动车属性时传该值,见附录车牌颜色 | 
| vehicle_type | Int | 机非人类型,当检测到机非人属性时传该值,见附录机非人类型 | 
| vehicle_color | Int | 车辆颜色,当检测到机动车属性时传该值,见附录车辆颜色 | 
| car_pre_brand | Int | 品牌字符索引,当检测到机动车属性时传该值,见附录车款类型 | 
| car_sub_brand | Int | 子款符号索引,当检测到机动车属性时传该值 | 
| car_year_brand | String | 年款符号,当检测到机动车属性时传该值 | 
| rider_age_range | Int | 骑行人年龄范围 枚举值: 
 | 
| rider_gender | Int | 骑行人性别 枚举值: 
 | 
| has_helmet | Boolen | 是否戴头盔 | 
| helmet_color | Int | 头盔颜色 | 
| motor_color | Int | 非机动车颜色 | 
| has_motor_sunshade | Boolen | 是否有遮阳伞 | 
| has_motor_carry | Boolen | 是否有携带物 | 
| has_license_plate | Boolen | 是否有车牌 | 
| rider_num | Int | 骑行人数 | 
| motor_type | Int | 非机动车类型 | 
| vehicle_url | String | 车辆特写图url | 
| target_all_pic_url | String | 目标整体抠图url | 
| panorama_url | String | 全景图片url | 
| vehicle_pos | RectCor object | 车辆检测框位置万分比 | 
| human_pos | RectCor object | 目标整体位置万分比 | 
| human_age | Int | 行人年龄 枚举值: 
 | 
| human_gender | Int | 行人性别 枚举值: 
 | 
| human_upperstyle | Int | 上衣款式 
 | 
| human_uppercolor | Int | 上衣颜色 | 
| human_lowstyle | Int | 下衣款式 | 
| human_lowercolor | Int | 下衣颜色 | 
| human_shape | Int | 体型 | 
| human_mouthmask | Int | 行人口罩 | 
| human_hair | Int | 行人头发 | 
| common | Common object | 通用数据定义 | 
| target | Target object | 目标:设备上传TLV时的设备的原始数据,该字段是设备上传的原始数据的解析,不同的业务场景传入的字段会不相同。 | 
| moto_type | Int | 非机动车类型 | 
| 字段名 | 类型 | 说明 | 
|---|---|---|
| x_cor | Int | 上层业务检测框左上角坐标点x计算方式,x1 = x_cor *全景图像素宽度/ 10000 | 
| y_cor | Int | 上层业务检测框左上角坐标点y计算方式,y1 = y_cor *全景图像素高度/ 10000 | 
| width | Int | 上层业务检测框宽度 计算方式 widht1 = widht *全景图像素宽度/ 10000 | 
| height | Int | 上层业务检测框长度 计算方式 height1 = height *全景图像素高度/ 10000 | 
| 字段名 | 类型 | 说明 | 
|---|---|---|
| channel_id | Int64 | 通道ID | 
| channel_id_ex | Int64 | 相机扩展通道ID | 
| pts | Int64 | 时间戳 | 
| sdc_device_id | String | 主从机设备ID | 
| sdc_uuid | String | 摄像机视频源通道号 | 
| intelligence_type | Int | 智能类型 | 
| image_height | Int | 图片高度 | 
| image_width | Int | 图片宽度 | 
| meta_type_mask | Int | 元数据类型掩码 枚举值: 
 | 
| 字段名 | 类型 | 说明 | 
|---|---|---|
| car_pre_brand | String | 品牌字符:中文字符,例如大众 | 
| car_pre_brand_index | Int | 品牌字符索引,当检测到机动车属性时传该值,见附录车款类型 | 
| car_sub_brand | String | 子款字符:中文字符,例如明锐 | 
| car_sub_brand_index | Int | 子款字符索引 | 
| car_year_brand | String | 年款字符:例如2011 | 
| cur_snap_index | Int | 当前抓拍序列号 | 
| global_object_id | Int64 | 智能目标全局ID | 
| human_pic | String | 目标整体抠图:已转化为图片url | 
| human_pic_kps | Int | 目标整体抠图kps质量过滤标志位 | 
| human_pic_roi | Rect object | 目标整体抠图中的目标整体目标框:目标整体抠图中可能存在其它干扰,此坐标用于精确圈定目标整体范围 | 
| human_rect_position | Rect object | 目标整体位置 | 
| lane_id | Int | 车道号 | 
| panorama_pic | String | 全景图:已转化为图片url | 
| pic_snapshot_dst_offset | Int64 | 夏令时偏移时间:单位秒/s | 
| pic_snapshot_time | Int | 抓拍时间 | 
| pic_snapshot_timems | Int64 | 抓拍时间:单位毫秒/ms | 
| pic_snapshot_tzone | Int64 | 抓拍时区:单位毫秒/ms 东区为+ 西区为-,支持夏令时 | 
| plate_char | String | 车牌字符,当检测到机动车属性时传该值 | 
| plate_color | Int | 车牌颜色,当检测到机动车属性时传该值,见附录车牌颜色 | 
| plate_pic | String | 车牌抠图:已转化为图片url | 
| plate_pos | Rect object | 车牌位置万分比 | 
| plate_pos_abs | Rect object | 车牌位置绝对坐标 | 
| plate_pos_com | Rect object | 车牌位置万分比 | 
| plate_type | Int | 车牌类型,参考附录车牌类型 | 
| target_type | Int | 智能业务场景 枚举值: 
 | 
| trecord_type | Int | 告警类型,见附录告警类型 | 
| vehicle_color | Int | 车辆颜色,当检测到机动车属性时传该值,见附录车辆颜色 | 
| vehicle_direction | Int | 车辆运动方向 枚举值: 
 | 
| vehicle_pic | String | 车辆图,已转化为图片url | 
| vehicle_pos | Rect object | 车身位置万分比 | 
| vehicle_pos_abs | Rect object | 车辆位置绝对坐标 | 
| vehicle_pos_com | Rect object | 车辆位置相对坐标万分比 | 
| vehicle_type | Int | 机非人类型,当检测到机非人属性时传该值,见附录机非人类型 | 
| vehicle_type_ext | Int | 机非人扩展类型,当检测到机非人属性时传该值,见附录机非人类型 ,例如机非人类型为轿车,扩展类型为两厢轿车 | 
| vhd_object_id | Int64 | 机非人ID | 
| human_gender | Int | 行人性别 枚举值: 
 | 
| human_umbrella | Int | 是否撑伞 枚举值: 
 | 
| human_lower_color | Int | 下衣颜色 枚举值: 
 | 
| human_direct | Int | 行进方向 | 
| human_carry | Int | 是否拎东西 枚举值: 
 | 
| human_mouth_mask | Int | 是否戴口罩 枚举值: 
 | 
| human_age | Int | 年龄人群 枚举值: 
 | 
| human_upper_texture | Int | 上衣纹理 枚举值: 
 | 
| human_view | Int | 朝向 枚举值: 
 | 
| human_feature | Feature Object | 目标整体属性 | 
| human_luggage | Int | 是否有行李箱 | 
| human_backpack | Int | 是否有背包 | 
| human_lower_style | Int | 下衣款式 枚举值: 
 | 
| human_upper_color | Int | 上衣颜色 | 
| human_hair | Int | 发型 枚举值: 
 | 
| human_shape | Int | 体型 枚举值: 
 | 
| human_speed | Int | 行进速度 | 
| human_upper_style | Int | 上衣款式 枚举值: 
 | 
| human_hat | Int | 是否戴帽子 | 
| human_frontpack | Int | 是否有前面背包 | 
| human_satchel | Int | 是否有斜挎包 | 
| human_glass | Int | 是否戴眼镜 | 
| motor_color | Int | 非机动车颜色 | 
| motor_license_plate | Int | 是否有车牌 | 
| motor_motor_carry | Int | 是否有携带物品 | 
| motor_sunshade | Int | 是否有遮阳伞 | 
| motor_sunshade_color | Int | 遮阳伞颜色 | 
| motor_type | Int | 非机动车类型 | 
| riderman_age | Int | 骑行人年龄人群 | 
| riderman_feature | RidermanFeature Object | 骑行人属性 | 
| riderman_gender | Int | 骑行人性别 | 
| riderman_helmet | Int | 骑行人是否戴头盔 | 
| riderman_helmetcolor | Int | 骑行人头盔颜色 | 
| riderman_num | Int | 骑行人数量,具体人数 | 
| riderman_uppercolor | Int | 骑行人上衣颜色 | 
| riderman_upperstyle | Int | 骑行人上衣款式 | 
| vehicle_pos_abs | Rect Object | 车辆位置绝对坐标 | 
| face_id | Int64 | 人脸号 | 
| face_pic_time | Int | 人脸抓拍时间 | 
| face_pic_tzone | Int64 | 人脸抓拍时区:单位毫秒/ms 东区为+ 西区为-,支持夏令时 | 
| 字段名 | 类型 | 说明 | 
|---|---|---|
| x | Int | 上层业务检测框左上角坐标点x计算方式,x1 = x *全景图像素宽度/ 10000 | 
| y | Int | 上层业务检测框左上角坐标点y计算方式,y1 = y *全景图像素高度/ 10000 | 
| width | Int | 上层业务检测框宽度 计算方式 widht1 = widht *全景图像素宽度/ 10000 | 
| height | Int | 上层业务检测框长度 计算方式 height1 = height *全景图像素高度/ 10000 | 
| 字段名 | 类型 | 说明 | 
|---|---|---|
| age | Int | 年龄人群 | 
| backpack | Int | 是否有背包 | 
| carry | Int | 是否拎东西 | 
| front_pack | Int | 是否有前面背包 | 
| gender | Int | 行人性别 枚举值: 
 | 
| glass | Int | 是否戴眼睛 | 
| hair | Int | 发型 | 
| hat | Int | 是否戴麦子 | 
| lower_color | Int | 上衣颜色 | 
| lower_style | Int | 上衣款式 | 
| luggage | Int | 是否有行李箱 | 
| mouth_mask | Int | 是否戴口罩 | 
| move_direct | Int | 行进方向 | 
| move_speed | Int | 行进速度 | 
| satchel | Int | 是否有斜挎包 | 
| shape | Int | 体型 | 
| umbrella | Int | 是否有雨伞 | 
| upper_color | Int | 下衣颜色 | 
| upper_style | Int | 下衣款式 | 
| upper_texture | Int | 上衣纹理 | 
| view | Int | 朝向 | 
| 字段名 | 类型 | 说明 | 
|---|---|---|
| age | Int | 年龄人群 | 
| gender | Int | 行人性别 枚举值: 
 | 
| helmet | Int | 是否戴头盔 | 
| helmet_color | Int | 头盔颜色 | 
| upper_color | Int | 下衣颜色 | 
| upper_style | Int | 下衣款式 | 
{
    "message_id": 1676253459558286045,
    "message_type": "vehicle_data",
    "data": {
        "device_id": "219123456CYP***",
        "channel_id": "0",
        "data_id": "167625345941400200060000rwnwv130",
        "report_time": "2023-02-13T09:57:37+08:00",
        "itgt_type": 6,
        "global_obj_id": 7198857782190185688,
        "lane_id": 1,
        "vehicle_type": 9,
        "target_all_pic_url": "https://www.example.com/v1/holo/tlv_219123456CYP***_0_20230213_tlv_167625345941400200040000rwnwv130.jpg/static",
        "panorama_url": "https://www.example.com/v1/holo/tlv_219123456CYP***_0_20230213_tlv_167625345941400200020000rwnwv130.jpg/static",
        "human_lowstyle": 1,
        "human_gender": 1,
        "human_uppercolor": 2,
        "human_hair": 2,
        "human_shape": 1,
        "human_age": 2,
        "human_mouthmask": 1,
        "human_lowercolor": 2,
        "human_upperstyle": 2,
        "human_pos": {
            "x_cor": 3218,
            "y_cor": 1601,
            "width": 1057,
            "height": 6046
        },
        "common": {
            "channel_id": 101,
            "channel_id_ex": 101,
            "meta_type_mask": 2,
            "pts": 167668079703,
            "sdc_device_id": "40619954-b309-46b1-7d1a-a3f443a58c87",
            "sdc_uuid": "224440c1-966e-57eb-fd7b-8ca03739be7e"
        },
        "target": {
            "global_object_id": 7198857782190185688,
            "human_pic": "https://www.example.com/v1/holo/tlv_219123456CYP***_0_20230213_tlv_167625345941400200040000rwnwv130.jpg/static",
            "human_pic_roi": {
                "x": 2916,
                "y": 0,
                "width": 4229,
                "height": 10000
            },
            "human_gender": 1,
            "human_umbrella": 1,
            "human_lower_color": 2,
            "human_direct": 2,
            "human_carry": 1,
            "human_mouth_mask": 1,
            "human_age": 2,
            "human_upper_texture": 1,
            "human_view": 1,
            "human_feature": {
                "age": 2,
                "backpack": 1,
                "carry": 1,
                "front_pack": 1,
                "gender": 1,
                "glass": 65536,
                "hair": 2,
                "hat": 65536,
                "lower_color": 2,
                "lower_style": 1,
                "luggage": 1,
                "mouth_mask": 1,
                "move_direct": 2,
                "move_speed": 0,
                "satchel": 1,
                "shape": 1,
                "umbrella": 1,
                "upper_color": 2,
                "upper_style": 2,
                "upper_texture": 1,
                "view": 131072
            },
            "human_luggage": 1,
            "human_backpack": 1,
            "human_lower_style": 1,
            "human_upper_color": 2,
            "human_hair": 2,
            "human_shape": 1,
            "human_speed": 2,
            "human_upper_style": 2,
            "human_hat": 1,
            "human_frontpack": 1,
            "human_satchel": 1,
            "human_glass": 1,
            "human_rect_position": {
                "x": 3218,
                "y": 1601,
                "width": 1057,
                "height": 6046
            },
            "lane_id": 1,
            "panorama_pic": "https://www.example.com/v1/holo/tlv_219123456CYP***_0_20230213_tlv_167625345941400200020000rwnwv130.jpg/static",
            "pic_snapshot_dst_offset": 0,
            "pic_snapshot_time": 1676253453,
            "pic_snapshot_timems": 1676253453434,
            "pic_snapshot_tzone": 28800000,
            "target_type": 6,
            "trecord_type": 34,
            "vehicle_type": 9,
            "vehicle_type_ext": 9,
            "vhd_object_id": 40152
        }
    },
    "test": false
}
  
  {
    "message_id": 1676252528838941764,
    "message_type": "vehicle_data",
    "data": {
        "device_id": "219123456CYP***",
        "channel_id": "0",
        "data_id": "167625252854900210110000rwnwv130",
        "report_time": "2023-02-13T09:42:06+08:00",
        "itgt_type": 7,
        "global_obj_id": 7198857782190185052,
        "lane_id": 2,
        "vehicle_direction": 4,
        "plate_char": "浙XXXXXX",
        "plate_color": 1,
        "vehicle_type": 1,
        "vehicle_color": 2,
        "car_pre_brand": 74,
        "car_sub_brand": 554,
        "car_year_brand": "2010",
        "vehicle_url": "https://www.example.com/v1/holo/tlv_219123456CYP***_0_20230213_tlv_167625252854900210010000rwnwv130.jpg/static",
        "panorama_url": "https://www.example.com/v1/holo/tlv_219123456CYP***_0_20230213_tlv_167625252854900210020000rwnwv130.jpg/static",
        "vehicle_pos": {
            "x_cor": 3218,
            "y_cor": 111,
            "width": 3085,
            "height": 3402
        },
        "common": {
            "channel_id": 101,
            "channel_id_ex": 101,
            "meta_type_mask": 2,
            "pts": 166735159705,
            "sdc_uuid": "224440c1-966e-57eb-fd7b-8ca03739be7e",
            "sdc_device_id": "40619954-b309-46b1-7d1a-a3f443a58c87"
        },
        "target": {
            "car_pre_brand": "斯柯达",
            "car_pre_brand_index": 74,
            "car_sub_brand": "明锐",
            "car_sub_brand_index": 554,
            "car_year_brand": "2010",
            "cur_snap_index": 0,
            "global_object_id": 7198857782190185052,
            "lane_id": 2,
            "panorama_pic": "https://www.example.com/v1/holo/tlv_219123456CYP***_0_20230213_tlv_167625252854900210020000rwnwv130.jpg/static",
            "pic_snapshot_dst_offset": 0,
            "pic_snapshot_time": 1676252525,
            "pic_snapshot_timems": 1676252525274,
            "pic_snapshot_tzone": 28800000,
            "plate_char": "浙XXXXXX",
            "plate_color": 1,
            "plate_pic": "https://www.example.com/v1/holo/tlv_219123456CYP***_0_20230213_tlv_167625252854900210080000rwnwv130.jpg/static",
            "plate_pos": {
                "x": 5437,
                "y": 1958,
                "width": 601,
                "height": 666
            },
            "plate_pos_abs": {
                "x": 696,
                "y": 141,
                "width": 77,
                "height": 48
            },
            "plate_pos_com": {
                "x": 5437,
                "y": 1958,
                "width": 601,
                "height": 666
            },
            "plate_type": 1,
            "target_type": 7,
            "trecord_type": 34,
            "vehicle_color": 2,
            "vehicle_direction": 4,
            "vehicle_pic": "https://www.example.com/v1/holo/tlv_219123456CYP***_0_20230213_tlv_167625252854900210010000rwnwv130.jpg/static",
            "vehicle_pos": {
                "x": 3218,
                "y": 111,
                "width": 3085,
                "height": 3402
            },
            "vehicle_pos_abs": {
                "x": 412,
                "y": 8,
                "width": 395,
                "height": 245
            },
            "vehicle_pos_com": {
                "x": 3218,
                "y": 111,
                "width": 3085,
                "height": 3402
            },
            "vehicle_type": 1,
            "vehicle_type_ext": 17,
            "vhd_object_id": 39516
        }
    },
    "test": false
}
  
  {
    "message_id": 1676253298093565055,
    "message_type": "vehicle_data",
    "data": {
        "device_id": "219123456CYP***",
        "channel_id": "0",
        "data_id": "167625329805000220030000rwnwv130",
        "report_time": "2023-02-13T09:54:56+08:00",
        "itgt_type": 8,
        "moto_type": 1,
	"motor_color": 1,
        "rider_num": 1,
        "global_obj_id": 7198857782190185592,
        "lane_id": 2,
        "vehicle_type": 8,
        "vehicle_url": "https://www.example.com/v1/holo/tlv_219123456CYP***_0_20230213_tlv_167625329805000220010000rwnwv130.jpg/static",
        "panorama_url": "https://www.example.com/v1/holo/tlv_219123456CYP***_0_20230213_tlv_167625329805000220020000rwnwv130.jpg/static",
        "vehicle_pos": {
            "x_cor": 3484,
            "y_cor": 3805,
            "width": 1953,
            "height": 6180
        },
        "common": {
            "channel_id": 101,
            "channel_id_ex": 101,
            "image_height": 720,
            "image_width": 1280,
            "meta_type_mask": 2,
            "pts": 167506599705,
            "sdc_uuid": "224440c1-966e-57eb-fd7b-8ca03739be7e"
        },
        "target": {
            "motor_color": 1,
            "motor_license_plate": 1,
	    "motor_motor_carry": 1,
            "motor_sunshade": 1,
	    "motor_sunshade_color": 0,
	    "motor_type": 1,
            "riderman_age": 0,
	    "riderman_feature": {
		"age": 0,
	        "gender": 0,
		"helmet": 0,
		"helmet_color": 0,
		"upper_color": 0,
		"upper_style": 0
	    },
            "riderman_gender": 0,
	    "riderman_helmet": 0,
	    "riderman_helmetcolor": 0,
            "riderman_num": 1,
	    "riderman_uppercolor": 0,
	    "riderman_upperstyle": 0,
            "global_object_id": 7198857782190185592,
            "lane_id": 2,
            "panorama_pic": "https://www.example.com/v1/holo/tlv_219123456CYP***_0_20230213_tlv_167625329805000220020000rwnwv130.jpg/static",
            "pic_snapshot_dst_offset": 0,
            "pic_snapshot_time": 1676253294,
            "pic_snapshot_timems": 1676253294194,
            "pic_snapshot_tzone": 28800000,
            "target_type": 8,
            "trecord_type": 34,
            "vehicle_pic": "https://www.example.com/v1/holo/tlv_219123456CYP***_0_20230213_tlv_167625329805000220010000rwnwv130.jpg/static",
            "vehicle_pos_abs": {
		"height": 345,
		"width": 140,
		"x": 146,
		"y": 192
	    },
            "vehicle_pos": {
                "x": 3484,
                "y": 3805,
                "width": 1953,
                "height": 6180
            },
            "vehicle_type": 8,
            "vehicle_type_ext": 8,
            "vhd_object_id": 40056
        }
    },
    "test": false
}
  
  {
    "message_id": 1676253298093565055,
    "message_type": "vehicle_data",
    "data": {
        "device_id": "219123456CYP***",
        "channel_id": "0",
        "data_id": "167625329805000220030000rwnwv130",
        "report_time": "2023-02-13T09:54:56+08:00",
        "itgt_type": 8,
        "global_obj_id": 7198857782190185592,
        "human_lowercolor": 1,
        "human_lowstyle": 1,
        "human_mouthmask": 1,
        "human_pos": {
            "height": 2513,
            "width": 515,
            "x_cor": 6265,
            "y_cor": 1027
        },
        "human_shape": 1,
        "human_uppercolor": 4,
        "moto_type": 1,
        "motor_color": 1,
        "rider_num": 2,
        "lane_id": 2,
        "vehicle_type": 8,
        "vehicle_url": "https://www.example.com/v1/holo/tlv_219123456CYP***_0_20230213_tlv_167625329805000220010000rwnwv130.jpg/static",
        "panorama_url": "https://www.example.com/v1/holo/tlv_219123456CYP***_0_20230213_tlv_167625329805000220020000rwnwv130.jpg/static",
        "vehicle_pos": {
            "x_cor": 3484,
            "y_cor": 3805,
            "width": 1953,
            "height": 6180
        },
        "common": {
            "channel_id": 101,
            "channel_id_ex": 101,
            "image_height": 720,
            "image_width": 1280,
            "meta_type_mask": 2,
            "pts": 167506599705,
            "sdc_uuid": "224440c1-966e-57eb-fd7b-8ca03739be7e"
        },
        "target": {
	    "face_id": 349,
            "face_pic_time": 1681289694842,
            "face_pic_tzone": 28800000,
            "global_object_id": 7198857782190185592,
	    "human_age": 0,
	    "human_backpack": 1,
	    "human_carry": 1,
	    "human_direct": 2,
	    "human_frontpack": 1,
	    "human_gender": 0,
	    "human_glass": 1,
	    "human_hair": 0,
	    "human_hat": 0,
	    "human_lower_color": 1,
	    "human_lower_style": 1,
	    "human_luggage": 1,
	    "human_mouth_mask": 1,
	    "human_pic": "https://www.example.com/v1/holo/tlv_219123456CYP***_6_20230412_tlv_168129058721800230040000rdhfp020.jpg/static",
	    "human_pic_kps": 1,
	    "human_pic_roi": {
		"height": 10000,
		"width": 6125,
		"x": 2000,
		"y": 0
	    },
	    "human_rect_position": {
		"height": 2513,
		"width": 515,
		"x": 6265,
		"y": 1027
	    },
	    "human_satchel": 1,
	    "human_shape": 1,
	    "human_speed": 2,
	    "human_umbrella": 1,
	    "human_upper_color": 4,
	    "human_upper_style": 0,
	    "human_upper_texture": 1,
	    "human_view": 0,
	    "motor_color": 1,
	    "motor_license_plate": 1,
	    "motor_motor_carry": 1,
	    "motor_sunshade": 1,
	    "motor_sunshade_color": 0,
	    "motor_type": 1,
            "lane_id": 2,
            "panorama_pic": "https://www.example.com/v1/holo/tlv_219123456CYP***_0_20230213_tlv_167625329805000220020000rwnwv130.jpg/static",
            "pic_snapshot_dst_offset": 0,
            "pic_snapshot_time": 1676253294,
            "pic_snapshot_timems": 1676253294194,
            "pic_snapshot_tzone": 28800000,
	    "riderman_age": 0,
	    "riderman_gender": 0,
	    "riderman_helmet": 0,
	    "riderman_helmetcolor": 0,
	    "riderman_num": 2,
	    "riderman_uppercolor": 4,
	    "riderman_upperstyle": 0,
            "target_type": 8,
            "trecord_type": 34,
            "vehicle_pic": "https://www.example.com/v1/holo/tlv_219123456CYP***_0_20230213_tlv_167625329805000220010000rwnwv130.jpg/static",
            "vehicle_pos": {
                "x": 3484,
                "y": 3805,
                "width": 1953,
                "height": 6180
            },
            "vehicle_type": 8,
            "vehicle_type_ext": 8,
            "vhd_object_id": 40056
        }
    },
    "test": false
}
  
  