2024-11-24 00:58:06 +00:00
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# 基础控制参数
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base:
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# 股道名称
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2025-02-13 10:43:42 +00:00
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track_name: "1门"
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2024-11-24 00:58:06 +00:00
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# 测试模式
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test_model: false
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# Api 监听端口
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api_port: 7070
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# 日志文件目录
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log_path: "./logs"
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# 识别结果目录
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result_path: "./result"
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# 调试结果目录
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debug_result_path: "./debug_result"
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# 结果存储天数
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result_save_days: 10
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# 日志参数
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log:
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# 输出日志级别[DEBUG, INFO, WARN, ERROR, FATAL]
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out_level: "DEBUG"
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# 保存日志级别
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save_level: "DEBUG"
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# 数据源参数
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data_source:
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2025-02-13 10:43:42 +00:00
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- # 顶部摄像头（必须顶部摄像头）
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url: "./videos/buertai2.mp4"
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# 跳帧数
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skip_interval: 3
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# 识别区域
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identify_areas: [120, 0, 1800, 1080]
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# 切箱方式
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divide_mode: "corner" #[corner, pixel]
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# 汽车行进方向
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run_direction: "down" #[up, down, left, right]
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- # 侧部摄像头
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url: "./videos/buertai2.mp4"
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# 跳帧数
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skip_interval: 3
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# 识别区域
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identify_areas: [ 120, 0, 1800, 1080 ]
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# 切箱方式
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divide_mode: "pixel" #[corner, pixel]
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# 汽车行进方向
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run_direction: "right" #[up, down, left, right]
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- # 侧边摄像头
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url: "./videos/buertai2.mp4"
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# 跳帧数
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skip_interval: 3
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# 识别区域
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identify_areas: [ 120, 0, 1800, 1080 ]
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# 切箱方式
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divide_mode: "pixel" #[corner, pixel]
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# 汽车行进方向
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run_direction: "left" #[up, down, left, right]
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2024-11-24 00:58:06 +00:00
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# 识别参数
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identify:
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2025-02-13 10:43:42 +00:00
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# 切箱方式
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divide_mode: "corner" #[corner, pixel]
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2024-11-24 00:58:06 +00:00
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# 大框帧跨度（比一个大框从出现到消失的跨度稍大一点, 跟跳帧有关系）
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2025-02-13 10:43:42 +00:00
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partition_frame_span: 0
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# 顶部Y轴大框帧跨度的位置像素差异
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top_y_split_span_px: 200
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# 侧边X轴大框帧跨度的位置像素差异
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side_x_split_span_px: 600
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2024-11-24 00:58:06 +00:00
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# 每帧大框位置差异最小值 (持续小于此值，则可能停车)
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chkstop_px: 15
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# 持续X次续位置差异小于gc_chkstop_px，则判断为停车。
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chkstop_count: 10
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# 过滤最小大框高度（不需要的话就写个很小的值）
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2025-02-13 10:43:42 +00:00
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target_min_height: 95
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# 过滤最小大框宽度（不需要的话就写个很小的值）
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target_min_width: 50
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# 过滤低于指定Y轴的大框
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target_min_y: 550
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# 单次识别最大帧数
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max_identify_frame: 600
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# 两个箱子的箱角最大差值X
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max_container_space_x: 600
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# 两个箱子的箱角最大差值Y
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max_container_space_y: 500
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2024-11-24 00:58:06 +00:00
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# websocket_server 的服务端参数
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wsocket_server:
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is_use: false
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port: 7071
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max_queue_len: 10
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# http 接口
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http_server:
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# 使用状态
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is_use: false
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# 服务器IP
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http_ip: 192.168.2.108
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# 通讯端口
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http_port: 20004
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# 获取接口授权地址
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token_path: "/api/blade-auth/oauth/token"
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# 识别结果上传地址
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up_result_path: "/api/train-carriage/identification/rfid-save"
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# 设备状态上传地址
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device_status_url: ""
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# 接口用户名
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username: "guest_01"
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# 接口密码
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password: "d55b0f642e817eea24725d2f2a31dd08"
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# minio 服务配置
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minio:
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# 使用状态
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is_use: false
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# 服务地址
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url: "http://192.168.32.134:19000"
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# 通讯授权
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accesskey: "OpgVbHoeDLUBWjQkN3NS"
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# 密钥授权
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secretkey: "fc0sDwKTq2N7ZVl2iJk36WUZgL5EtNLTjRVtIzNM"
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# 容器名
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bucket: "train"
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