删除app目录

app/config/config.yaml

@@ -1,121 +0,0 @@
-# 基础控制参数
-base:
-  # 股道名称
-  track_name: "1门"
-  # 测试模式
-  test_model: false
-  # Api 监听端口
-  api_port: 7070
-  # 日志文件目录
-  log_path: "./logs"
-  # 识别结果目录
-  result_path: "./result"
-  # 调试结果目录
-  debug_result_path: "./debug_result"
-  # 结果存储天数
-  result_save_days: 10
-
-# 日志参数
-log:
-  # 输出日志级别[DEBUG, INFO, WARN, ERROR, FATAL]
-  out_level: "DEBUG"
-  # 保存日志级别
-  save_level: "DEBUG"
-
-# 数据源参数
-data_source:
-  - # 顶部摄像头（必须顶部摄像头）
-    url: "./videos/buertai2.mp4"
-    # 跳帧数
-    skip_interval: 3
-    # 识别区域
-    identify_areas: [120, 0, 1800, 1080]
-    # 切箱方式
-    divide_mode: "corner" #[corner, pixel]
-    # 汽车行进方向
-    run_direction: "down" #[up, down, left, right]
-  - # 侧部摄像头
-    url: "./videos/buertai2.mp4"
-    # 跳帧数
-    skip_interval: 3
-    # 识别区域
-    identify_areas: [ 120, 0, 1800, 1080 ]
-    # 切箱方式
-    divide_mode: "pixel" #[corner, pixel]
-    # 汽车行进方向
-    run_direction: "right" #[up, down, left, right]
-  - # 侧边摄像头
-    url: "./videos/buertai2.mp4"
-    # 跳帧数
-    skip_interval: 3
-    # 识别区域
-    identify_areas: [ 120, 0, 1800, 1080 ]
-    # 切箱方式
-    divide_mode: "pixel" #[corner, pixel]
-    # 汽车行进方向
-    run_direction: "left" #[up, down, left, right]
-
-# 识别参数
-identify:
-  # 切箱方式
-  divide_mode: "corner" #[corner, pixel]
-  # 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）
-  partition_frame_span: 0
-  # 顶部Y轴大框帧跨度的位置像素差异
-  top_y_split_span_px: 200
-  # 侧边X轴大框帧跨度的位置像素差异
-  side_x_split_span_px: 600
-  # 每帧大框位置差异最小值 (持续小于此值，则可能停车)
-  chkstop_px: 15
-  # 持续X次续位置差异小于gc_chkstop_px，则判断为停车。
-  chkstop_count: 10
-  # 过滤最小大框高度（不需要的话就写个很小的值）
-  target_min_height: 95
-  # 过滤最小大框宽度（不需要的话就写个很小的值）
-  target_min_width: 50
-  # 过滤低于指定Y轴的大框
-  target_min_y: 550
-  # 单次识别最大帧数
-  max_identify_frame: 600
-  # 两个箱子的箱角最大差值X
-  max_container_space_x: 600
-  # 两个箱子的箱角最大差值Y
-  max_container_space_y: 500
-
-# websocket_server 的服务端参数
-wsocket_server:
-  is_use: false
-  port: 7071
-  max_queue_len: 10
-
-# http 接口
-http_server:
-  # 使用状态
-  is_use: false
-  # 服务器IP
-  http_ip: 192.168.2.108
-  # 通讯端口
-  http_port: 20004
-  # 获取接口授权地址
-  token_path: "/api/blade-auth/oauth/token"
-  # 识别结果上传地址
-  up_result_path: "/api/train-carriage/identification/rfid-save"
-  # 设备状态上传地址
-  device_status_url: ""
-  # 接口用户名
-  username: "guest_01"
-  # 接口密码
-  password: "d55b0f642e817eea24725d2f2a31dd08"
-
-# minio 服务配置
-minio:
-  # 使用状态
-  is_use: false
-  # 服务地址
-  url: "http://192.168.32.134:19000"
-  # 通讯授权
-  accesskey: "OpgVbHoeDLUBWjQkN3NS"
-  # 密钥授权
-  secretkey: "fc0sDwKTq2N7ZVl2iJk36WUZgL5EtNLTjRVtIzNM"
-  # 容器名
-  bucket: "train"

app/config/matrix.yaml

@@ -1,56 +0,0 @@
-#engine实例
-engines:
-  ApiEngine: 0
-  DeleteExpiredFolderEngine: 0
-  WSServerEngine: 0
-  VideoEngine: 0
-  VideoEngine: 1
-  VideoEngine: 2
-  VideoDecodeEngine: 0
-  VideoDecodeEngine: 1
-  VideoDecodeEngine: 2
-  ControlEngine: 0
-#  SaveMoveImageEngine: 0
-  SaveMoveInfoEngine: 0
-  ContainerStep1InferenceEngine: 0
-  CornerInferenceEngine: 0
-  Step1MergeEngine: 0
-  ContainerStep2InferenceEngine: 0
-  ContainerCharacterConversionEngine: 0
-  ContainerDivideEngine: 0
-  ContainerDivideEngine: 1
-  ContainerDivideEngine: 2
-  SelectBestEngine: 0
-  SaveResultCSVEngine: 0
-  ToMinioSrvEngine: 0
-  SaveDebugImageEngine: 0
-
-#engine连接
-connects:
-  WSServerEngine_0_0: "ControlEngine_0_0 1024"
-  VideoEngine_0_0: "VideoDecodeEngine_0_0 1024"
-  VideoEngine_1_0: "VideoDecodeEngine_1_0 1024"
-  VideoEngine_2_0: "VideoDecodeEngine_2_0 1024"
-  VideoDecodeEngine_0_0: "ControlEngine_0_1 1024"
-  VideoDecodeEngine_1_0: "ControlEngine_0_1 1024"
-  VideoDecodeEngine_2_0: "ControlEngine_0_1 1024"
-  ControlEngine_0_0: "WSServerEngine_0_0 1024"
-  ControlEngine_0_1: "ContainerStep1InferenceEngine_0_0 1024"
-  ControlEngine_0_2: "CornerInferenceEngine_0_0 1024"
-  ControlEngine_0_3: "SaveMoveInfoEngine_0_0 1024"
- ControlEngine_0_4: "SaveMoveImageEngine_0_0 1024"
-  ContainerStep1InferenceEngine_0_0: "Step1MergeEngine_0_0 1024"
-  CornerInferenceEngine_0_0: "Step1MergeEngine_0_1 1024"
-  Step1MergeEngine_0_0: "ContainerStep2InferenceEngine_0_0 1024"
-  ContainerStep2InferenceEngine_0_0: "ContainerCharacterConversionEngine_0_0 1024"
-  ContainerCharacterConversionEngine_0_0: "ContainerDivideEngine_0_0 1024"
-  ContainerCharacterConversionEngine_0_1: "ContainerDivideEngine_1_0 1024"
-  ContainerCharacterConversionEngine_0_2: "ContainerDivideEngine_2_0 1024"
-  ContainerCharacterConversionEngine_0_3: "SaveDebugImageEngine_0_0 1024"
-  ContainerDivideEngine_0_0: "SelectBestEngine_0_0 1024"
-  ContainerDivideEngine_1_0: "SelectBestEngine_0_0 1024"
-  ContainerDivideEngine_2_0: "SelectBestEngine_0_0 1024"
-  SelectBestEngine_0_0: "WSServerEngine_0_0 1024"
-  SelectBestEngine_0_1: "ToMinioSrvEngine_0_0 1024"
-  SelectBestEngine_0_2: "SaveResultCSVEngine_0_0 1024"
-

app/config/model_config.yaml

@@ -1,55 +0,0 @@
-# 动态检测
-move_model:
-  model_path: "./model/step0/step0.engine"
-  score_threshold: 0
-  class: []
-# 关键区域识别
-train_step1_model:
-  model_path: "./model/step1/step1.engine"
-  score_threshold: 0.6
-  class: [ "HEADNUM",
-           "PROPERTY",
-           "TYPENUM_K",
-           "TYPENUM_C",
-           "TYPENUM_P",
-           "TYPENUM_G",
-           "TYPENUM_N",
-           "MAINTENFLAG",
-           "TYPENUM_J",
-           "SPACE",
-           "SPACELK",
-           "SPACENX",
-           "SPACEG",
-           "SPACEP",
-           "SPACEJ",
-           "TYPENUM_W",
-           "SPACEW",
-           "SPACEM",
-           "SPACEU"
-  ]
-# 字符识别
-train_step2_model:
-  model_path: "./model/step2/step2.engine"
-  score_threshold: 0.7
-  class: ["0","1","2","3","4","5","6","7","8","9",
-          "A","B","C","D","E","F","G","H","I","J","K","L", "M", "N", "O", "P", "Q", "R", "S", "T", "U", "V","W", "X", "Y", "Z",
-          "change", "load", "m", "self", "t", "volume", "meter",")", "(", "?", "-"
-  ]
-# 集装箱关键区域识别
-container_step1_model:
-  model_path: "./model/container_step1/con1.engine"
-  score_threshold: 0.6
-  class: ["CONTAINERNUM","CONTAINERNUM_REVERSE"] # ,"SPACE_T","SPACENX_T","SPACEG_T","SPACEP_T","SPACEP_T"
-# 集装箱字符识别
-container_step2_model:
-  model_path: "./model/container_step2/con2.engine"
-  score_threshold: 0.7
-  class: ["0","1","2","3","4","5","6","7","8","9",
-          "A","B","C","D","E","F","G","H","I","J","K","L", "M", "N", "O", "P", "Q", "R", "S", "T", "U", "V","W", "X", "Y", "Z",
-          "change", "load", "m", "self", "t", "volume", "meter",")", "(", "?", "-"
-  ]
-# 集装箱箱角识别
-corner_model:
-  model_path: "./model/corner/corner.engine"
-  score_threshold: 0.7
-  class: ["CNTR_CORNER","CNTR_CORNER_TOP"]