1

.gitignore

@@ -6,6 +6,16 @@
 !widgets/**
 !handlers/
 !handlers/**
+!database/
+!database/**
+!hooks/
+!hooks/**
+!icons/
+!icons/**
+!labelme/
+!labelme/**
+!rules/
+!rules/**
 !app.py
 !__main__.py
 !__init__.py

database/config/annotation_result.yaml

+channel1:
+  annotation_count: 1
+  areas:
+    area_1:
+      height: 20mm
+      name: 通道1_区域1
+  boxes:
+  - - 617
+    - 415
+    - 192
+  fixed_bottoms:
+  - 482
+  fixed_tops:
+  - 387
+  last_updated: '2025-11-27 15:55:10'
+channel2:
+  annotation_count: 1
+  areas:
+    area_1:
+      height: 20mm
+      name: 我去饿_区域1
+  boxes:
+  - - 643
+    - 558
+    - 160
+  fixed_bottoms:
+  - 616
+  fixed_tops:
+  - 534
+  last_updated: '2025-11-26 20:09:26'
+channel3:
+  annotation_count: 1
+  areas:
+    area_1:
+      height: 20mm
+      name: 3_区域1
+  boxes:
+  - - 1365
+    - 915
+    - 128
+  fixed_bottoms:
+  - 939
+  fixed_tops:
+  - 886
+  last_updated: '2025-11-26 20:09:35'
+channel4:
+  annotation_count: 1
+  areas:
+    area_1:
+      height: 20mm
+      name: asfdhuu_区域1
+  boxes:
+  - - 1689
+    - 884
+    - 96
+  fixed_bottoms:
+  - 908
+  fixed_tops:
+  - 860
+  last_updated: '2025-11-26 20:02:17'
+通道1:
+  annotation_count: 2
+  areas:
+    area_1:
+      height: 20mm
+      name: 通道1_区域1
+    area_2:
+      height: 22mm
+      name: 通道1_
+  boxes:
+  - - 653
+    - 281
+    - 192
+  - - 337
+    - 520
+    - 160
+  fixed_bottoms:
+  - 204
+  - 579
+  fixed_tops:
+  - 300
+  - 456
+  last_updated: '2025-11-03 15:58:08'

database/config/channel_config.yaml

+channels:
+  1:
+    address: rtsp://admin:cei345678@192.168.0.127:8000/stream1
+    channel_id: 1
+    name: 不后悔1
+  2:
+    address: rtsp://admin:cei345678@192.168.0.127:8000/stream1
+    channel_id: 2
+    name: '2'
+  3:
+    address: rtsp://admin:cei345678@192.168.0.127:8000/stream1
+    channel_id: 3
+    name: '3'
+  4:
+    address: rtsp://admin:cei345678@192.168.0.127:8000/stream1
+    channel_id: 4
+    name: '4'
+channel2:
+  general:
+    task_id: '123'
+    task_name: '21'
+    save_liquid_data_path: d:\restructure\liquid_level_line_detection_system\database\mission_result\123_21
+channel3:
+  general:
+    task_id: '123'
+    task_name: '21'
+    save_liquid_data_path: d:\restructure\liquid_level_line_detection_system\database\mission_result\123_21
+channel4:
+  general:
+    task_id: '1'
+    task_name: '1'
+    save_liquid_data_path: d:\restructure\liquid_level_line_detection_system\database\mission_result\1_1
+channel1:
+  general:
+    task_id: '1'
+    task_name: '1'
+    area_count: 0
+    safe_low: 2.0mm
+    safe_high: 10.0mm
+    frequency: 25fps
+    video_format: AVI
+    push_address: ''
+    video_path: ''
+    save_liquid_data_path: d:\restructure\liquid_level_line_detection_system\database\mission_result\1_1
+    areas:
+      area_1: 通道1_区域1
+      area_2: 通道1_区域2
+    area_heights:
+      area_1: 20mm
+      area_2: 20mm
+  model:
+    model_path: d:\restructure\liquid_level_line_detection_system\database\model\detection_model\5\best.dat
+channel_1:
+  general:
+    task_id: '1'
+    task_name: '1'
+    save_liquid_data_path: d:\restructure\liquid_level_line_detection_system\database\mission_result\1_1
+channel_2:
+  general:
+    task_id: '2'
+    task_name: '2'
+    save_liquid_data_path: d:\restructure\liquid_level_line_detection_system\database\mission_result\2_2
+channel_3:
+  general:
+    task_id: '3'
+    task_name: '3'
+    save_liquid_data_path: d:\restructure\liquid_level_line_detection_system\database\mission_result\3_3
+channel_4:
+  general:
+    task_id: '4'
+    task_name: '4'
+    save_liquid_data_path: d:\restructure\liquid_level_line_detection_system\database\mission_result\4_4

database/config/default_config.yaml

+address_list: 'rtsp://admin:cei345678@192.168.0.121:8000/stream1
+
+  rtsp://admin:cei345678@192.168.0.122:8000/stream1
+
+  rtsp://admin:cei345678@192.168.0.123:8000/stream1
+
+  rtsp://admin:cei345678@192.168.0.124:8000/stream1
+
+  rtsp://admin:cei345678@192.168.0.125:8000/stream1'
+batch_processing_enabled: false
+channel1:
+  name: 通道1
+  address: rtsp://admin:cei345678@192.168.0.127:8000/stream1
+channel1_model_path: database/model/detection_model/detect/best.dat
+channel2:
+  name: 通道2
+  address: rtsp://admin:cei345678@192.168.0.127:8000/stream1
+channel2_model_path: database/model/detection_model/detect/best.dat
+channel3:
+  name: 通道3
+  address: rtsp://admin:cei345678@192.168.0.127:8000/stream1
+channel3_model_path: database/model/detection_model/detect/best.dat
+channel4:
+  name: 通道4
+  address: rtsp://admin:cei345678@192.168.0.127:8000/stream1
+channel4_model_path: database/model/detection_model/detect/best.dat
+classes:
+- color: '#FF0000'
+  enabled: true
+  id: 0
+  name: person
+- color: '#00FF00'
+  enabled: true
+  id: 1
+  name: car
+- color: '#0000FF'
+  enabled: true
+  id: 2
+  name: bicycle
+compilation: release
+crop_frame_rate: 2
+curve_frame_rate: 2
+default_batch_size: 4
+default_device: cuda
+default_model: 模型-5-best
+detection_frame_rate: 5
+display_frame_rate: 25
+gpu_enabled: true
+max_batch_wait_time: 0.05
+mission:
+  auto_start: false
+  max_missions: 10
+  mission_result_format: json
+  save_mission_results: true
+model:
+  agnostic_nms: false
+  batch_size: 1
+  confidence_threshold: 0.5
+  config_path: null
+  dynamic_shape: false
+  half_precision: false
+  input_size:
+  - 640
+  - 640
+  iou_threshold: 0.45
+  keep_ratio: true
+  max_det: 100
+  model_path: null
+  model_type: YOLOv5
+  multi_label: false
+  profiler: false
+  use_coreml: false
+  use_openvino: false
+  use_tensorrt: false
+  verbose: false
+  visualize_features: false
+model_base_path: database/model/detection_model
+paths:
+  auto_create_dirs: true
+  export_path: ./exports
+  log_path: ./logs
+  model_path: ./models
+  project_path: ./projects
+performance:
+  cache_size: 1000
+  enable_cache: true
+  gpu_device: cuda:0
+  num_threads: 4
+  use_gpu: false
+safety_limit:
+  lower_limit: 0.0
+  show_limits: true
+  upper_limit: 20.0
+save_data_rate: 2
+shape:
+  fill_color:
+  - 255
+  - 0
+  - 0
+  - 100
+  hvertex_fill_color:
+  - 255
+  - 0
+  - 0
+  - 255
+  label_font: Arial
+  label_font_size: 16
+  line_color:
+  - 0
+  - 255
+  - 0
+  - 128
+  point_size: 8
+  scale: 1.0
+  select_fill_color:
+  - 0
+  - 255
+  - 0
+  - 155
+  select_line_color:
+  - 255
+  - 255
+  - 255
+  - 255
+  vertex_fill_color:
+  - 0
+  - 255
+  - 0
+  - 255
+shortcuts:
+  add_channel: Ctrl+Shift+C
+  add_mission: Ctrl+N
+  connect_channel: Ctrl+C
+  export_mission_result: Ctrl+E
+  fullscreen: F11
+  general_settings: Ctrl+,
+  model_settings: Ctrl+M
+  open_file: Ctrl+O
+  open_video: Ctrl+Shift+O
+  quit: Ctrl+Q
+  save_mission_result: Ctrl+S
+  start_mission: Ctrl+R
+  stop_mission: Ctrl+T
+  toggle_channel_panel: F1
+  toggle_mission_panel: F2
+test_model_memory: D:\restructure\liquid_level_line_detection_system\database\model\detection_model\5\best.dat
+logging:
+  level: INFO
+  console: true
+  file_enabled: true
+  log_dir: logs
+  max_file_size: 10
+  backup_count: 5
+ui:
+  channel_dock:
+    closable: true
+    floatable: true
+    movable: true
+    show: true
+  confirm_exit: true
+  font_family: null
+  font_size: 10
+  mission_dock:
+    closable: true
+    floatable: true
+    movable: true
+    show: true
+  show_statusbar: true
+  show_toolbar: true
+  theme: light

database/config/mission/123_21.yaml

+task_id: '123'
+task_name: '21'
+status: 待配置
+selected_channels:
+- 通道2
+- 通道3
+created_time: '2025-11-26 14:55:31'
+mission_result_folder_path: d:\restructure\liquid_level_line_detection_system\database\mission_result\123_21

database/config/mission/1_1.yaml

+task_id: '1'
+task_name: '1'
+status: 待配置
+selected_channels:
+- 通道1
+- 通道2
+- 通道3
+- 通道4
+created_time: '2025-11-26 19:53:35'
+mission_result_folder_path: d:\restructure\liquid_level_line_detection_system\database\mission_result\1_1

database/config/mission/1_2.yaml

+task_id: '1'
+task_name: '2'
+status: 待配置
+selected_channels:
+- 通道1
+- 通道2
+created_time: '2025-11-26 16:24:36'
+mission_result_folder_path: d:\restructure\liquid_level_line_detection_system\database\mission_result\1_2

database/config/mission/1_222.yaml

+task_id: '1'
+task_name: '222'
+status: 待配置
+selected_channels:
+- 通道1
+- 通道2
+- 通道3
+- 通道4
+created_time: '2025-11-26 19:58:15'
+mission_result_folder_path: d:\restructure\liquid_level_line_detection_system\database\mission_result\1_222

database/config/mission/1_test.yaml

+task_id: '1'
+task_name: test
+status: 待配置
+selected_channels:
+- 通道1
+- 通道2
+- 通道3
+- 通道4
+created_time: '2025-11-26 19:46:34'
+mission_result_folder_path: d:\restructure\liquid_level_line_detection_system\database\mission_result\1_test

database/config/mission/21_321.yaml

+task_id: '21'
+task_name: '321'
+status: 待配置
+selected_channels:
+- 通道1
+- 通道2
+- 通道3
+- 通道4
+created_time: '2025-11-26 20:08:46'
+mission_result_folder_path: d:\restructure\liquid_level_line_detection_system\database\mission_result\21_321

database/config/mission/2_test.yaml

+task_id: '2'
+task_name: test
+status: 待配置
+selected_channels:
+- 通道1
+- 通道2
+- 通道3
+- 通道4
+created_time: '2025-11-26 20:01:16'
+mission_result_folder_path: d:\restructure\liquid_level_line_detection_system\database\mission_result\2_test

database/config/mission/2恶趣味_q'we.yaml

+task_id: 2恶趣味
+task_id: 2恶趣味
+task_name: q'we
+status: 待配置
+selected_channels:
+- 通道2
+created_time: '2025-11-26 14:56:26'
+mission_result_folder_path: d:\restructure\liquid_level_line_detection_system\database\mission_result\2恶趣味_q'we

database/config/mission/吃个海鲜_显示提醒他.yaml

+task_id: 吃个海鲜
+task_id: 吃个海鲜
+task_name: 显示提醒他
+status: 待配置
+selected_channels:
+- 通道4
+created_time: '2025-11-27 11:06:03'
+mission_result_folder_path: d:\restructure\liquid_level_line_detection_system\database\mission_result\吃个海鲜_显示提醒他

database/config/mission/大润发给_上方.yaml

+task_id: 大润发给
+task_id: 大润发给
+task_name: 上方
+status: 待配置
+selected_channels:
+- 通道1
+- 通道2
+- 通道3
+created_time: '2025-11-27 11:00:31'
+mission_result_folder_path: d:\restructure\liquid_level_line_detection_system\database\mission_result\大润发给_上方

database/config/mission/的使得发_如图微软.yaml

+task_id: 的使得发
+task_id: 的使得发
+task_name: 如图微软
+status: 待配置
+selected_channels:
+- 通道1
+- 通道3
+- 通道4
+created_time: '2025-11-27 11:02:21'
+mission_result_folder_path: d:\restructure\liquid_level_line_detection_system\database\mission_result\的使得发_如图微软

database/config/mission/的啊_而突然.yaml

+task_id: 的啊
+task_id: 的啊
+task_name: 而突然
+status: 待配置
+selected_channels:
+- 通道1
+- 通道2
+- 通道3
+- 通道4
+created_time: '2025-11-27 11:03:28'
+mission_result_folder_path: d:\restructure\liquid_level_line_detection_system\database\mission_result\的啊_而突然

database/config/model_test_annotation_result.yaml

+test_model:
+  areas:
+    area_1:
+      height: 20mm
+      name: test_model_区域1
+    area_2:
+      height: 20mm
+      name: test_model_区域2
+  bottoms:
+  - !!python/tuple
+    - 1082
+    - 1028
+  - !!python/tuple
+    - 1140
+    - 283
+  boxes:
+  - !!python/tuple
+    - 1078
+    - 934
+    - 192
+  - !!python/tuple
+    - 1141
+    - 222
+    - 128
+  tops:
+  - !!python/tuple
+    - 1076
+    - 839
+  - !!python/tuple
+    - 1140
+    - 159

database/config/physical_zoom_config_example.yaml

+# 物理变焦设备配置示例
+# 用于配置海康威视摄像头的物理变焦功能
+
+# 通道1配置 - 海康威视球机
+channel1_device:
+  ip: "192.168.1.100"          # 设备IP地址
+  port: 8000                   # 设备端口，默认8000
+  username: "admin"            # 登录用户名
+  password: "admin123"         # 登录密码
+  channel: 1                   # 设备通道号
+  enable_physical_zoom: true   # 是否启用物理变焦
+  zoom_capabilities:
+    min_zoom: 1.0             # 最小变焦倍数
+    max_zoom: 30.0            # 最大变焦倍数
+    zoom_step: 0.5            # 变焦步长
+    auto_focus: true          # 是否支持自动聚焦
+
+# 通道2配置 - 海康威视枪机（不支持变焦）
+channel2_device:
+  ip: "192.168.1.101"
+  port: 8000
+  username: "admin"
+  password: "admin123"
+  channel: 1
+  enable_physical_zoom: false  # 枪机通常不支持变焦
+
+# 通道3配置 - 海康威视球机
+channel3_device:
+  ip: "192.168.1.102"
+  port: 8000
+  username: "admin"
+  password: "admin123"
+  channel: 1
+  enable_physical_zoom: true
+  zoom_capabilities:
+    min_zoom: 1.0
+    max_zoom: 20.0            # 不同型号支持的倍数可能不同
+    zoom_step: 0.5
+    auto_focus: true
+
+# 通道4配置 - 海康威视球机
+channel4_device:
+  ip: "192.168.1.103"
+  port: 8000
+  username: "admin"
+  password: "admin123"
+  channel: 1
+  enable_physical_zoom: true
+  zoom_capabilities:
+    min_zoom: 1.0
+    max_zoom: 25.0
+    zoom_step: 0.5
+    auto_focus: true
+
+# 全局配置
+global_settings:
+  # 物理变焦优先级：true表示优先使用物理变焦，false表示优先使用数字变焦
+  prefer_physical_zoom: true
+  
+  # 连接超时时间（秒）
+  connection_timeout: 10
+  
+  # 变焦操作超时时间（秒）
+  zoom_timeout: 15
+  
+  # 自动重连间隔（秒）
+  reconnect_interval: 30
+  
+  # 错误重试次数
+  max_retry_count: 3
+
+# 使用说明：
+# 1. 将此文件重命名为 physical_zoom_config.yaml
+# 2. 根据实际设备信息修改IP地址、用户名、密码等
+# 3. 确保设备支持PTZ控制功能
+# 4. 在放大窗口中使用以下快捷键：
+#    - 鼠标滚轮：变焦放大/缩小
+#    - R键：重置变焦到1倍
+#    - D键：显示物理变焦状态
+#    - F键：自动聚焦
+#    - H键：显示/隐藏帮助信息
+#    - E键：切换锐化增强
+#    - N键：切换降噪处理
+#    - C键：切换对比度增强
+# 
+# 注意：系统只支持物理变焦，需要海康威视PTZ设备支持

database/config/test.yaml

+{}

database/config/train_configs/default_config.json

+{
+  "model_config": {
+    "model_type": "YOLOv8",
+    "model_size": "n",
+    "pretrained": true,
+    "input_size": [640, 640]
+  },
+  "training_config": {
+    "epochs": 100,
+    "batch_size": 16,
+    "learning_rate": 0.01,
+    "optimizer": "SGD",
+    "momentum": 0.937,
+    "weight_decay": 0.0005
+  },
+  "dataset_config": {
+    "num_classes": 3,
+    "class_names": ["liquid", "foam", "background"],
+    "data_yaml": "database/config/train_configs/data.yaml"
+  },
+  "augmentation_config": {
+    "hsv_h": 0.015,
+    "hsv_s": 0.7,
+    "hsv_v": 0.4,
+    "degrees": 0.0,
+    "translate": 0.1,
+    "scale": 0.5,
+    "shear": 0.0,
+    "perspective": 0.0,
+    "flipud": 0.0,
+    "fliplr": 0.5,
+    "mosaic": 1.0,
+    "mixup": 0.0
+  },
+  "validation_config": {
+    "val_interval": 1,
+    "save_period": 10,
+    "patience": 50
+  },
+  "device_config": {
+    "device": "cuda",
+    "workers": 8,
+    "amp": true
+  }
+}
+

database/config/train_configs/template_1.yaml

+# 模板1 - 快速训练配置（轻量级）
+# 用于快速验证模型和数据集
+
+task: segment
+mode: train
+model: database/model/detection_model/5/best.dat
+data: database/dataset/data_template_1.yaml
+epochs: 50
+batch: 8
+imgsz: 416
+save: true
+save_period: 10
+cache: false
+device: gpu
+workers: 4
+project: runs/train
+name: template_1_exp
+exist_ok: false
+pretrained: false
+optimizer: SGD
+verbose: false
+seed: 0
+deterministic: true
+single_cls: false
+rect: false
+cos_lr: false
+close_mosaic: 10
+resume: false
+amp: false
+fraction: 1.0
+profile: false
+freeze: null
+multi_scale: false
+overlap_mask: true
+mask_ratio: 4
+dropout: 0.0
+val: true
+split: val
+save_json: false
+conf: null
+iou: 0.7
+max_det: 300
+half: false
+dnn: false
+plots: true
+source: null
+vid_stride: 1
+stream_buffer: false
+visualize: false
+augment: false
+agnostic_nms: false
+classes: null
+retina_masks: false
+embed: null
+show: false
+save_frames: false
+save_txt: false
+save_conf: false
+save_crop: false
+show_labels: true
+show_conf: true
+show_boxes: true
+line_width: null
+format: torchscript
+keras: false
+optimize: false
+int8: false
+dynamic: false
+simplify: true
+opset: null
+workspace: null
+nms: false
+lr0: 0.01
+lrf: 0.01
+momentum: 0.937
+weight_decay: 0.0005
+warmup_epochs: 3.0
+warmup_momentum: 0.8
+warmup_bias_lr: 0.1
+box: 7.5
+cls: 0.5
+dfl: 1.5
+pose: 12.0
+kobj: 1.0
+nbs: 64
+hsv_h: 0.015
+hsv_s: 0.7
+hsv_v: 0.4
+degrees: 0.0
+translate: 0.1
+scale: 0.5
+shear: 0.0
+perspective: 0.0
+flipud: 0.0
+fliplr: 0.5
+bgr: 0.0
+mosaic: 1.0
+mixup: 0.0
+cutmix: 0.0
+copy_paste: 0.0
+copy_paste_mode: flip
+auto_augment: randaugment
+erasing: 0.4
+cfg: null
+tracker: botsort.yaml

database/config/train_configs/template_2.yaml

+# 模板2 - 标准训练配置（平衡型）
+# 用于常规模型训练，平衡精度和速度
+
+task: segment
+mode: train
+model: database/model/detection_model/5/best.dat
+data: database/dataset/data_template_2.yaml
+epochs: 100
+batch: 16
+imgsz: 640
+save: true
+save_period: 10
+cache: false
+device: gpu
+workers: 4
+project: runs/train
+name: template_2_exp
+exist_ok: false
+pretrained: false
+optimizer: SGD
+verbose: false
+seed: 0
+deterministic: true
+single_cls: false
+rect: false
+cos_lr: false
+close_mosaic: 10
+resume: false
+amp: false
+fraction: 1.0
+profile: false
+freeze: null
+multi_scale: false
+overlap_mask: true
+mask_ratio: 4
+dropout: 0.0
+val: true
+split: val
+save_json: false
+conf: null
+iou: 0.7
+max_det: 300
+half: false
+dnn: false
+plots: true
+source: null
+vid_stride: 1
+stream_buffer: false
+visualize: false
+augment: false
+agnostic_nms: false
+classes: null
+retina_masks: false
+embed: null
+show: false
+save_frames: false
+save_txt: false
+save_conf: false
+save_crop: false
+show_labels: true
+show_conf: true
+show_boxes: true
+line_width: null
+format: torchscript
+keras: false
+optimize: false
+int8: false
+dynamic: false
+simplify: true
+opset: null
+workspace: null
+nms: false
+lr0: 0.01
+lrf: 0.01
+momentum: 0.937
+weight_decay: 0.0005
+warmup_epochs: 3.0
+warmup_momentum: 0.8
+warmup_bias_lr: 0.1
+box: 7.5
+cls: 0.5
+dfl: 1.5
+pose: 12.0
+kobj: 1.0
+nbs: 64
+hsv_h: 0.015
+hsv_s: 0.7
+hsv_v: 0.4
+degrees: 0.0
+translate: 0.1
+scale: 0.5
+shear: 0.0
+perspective: 0.0
+flipud: 0.0
+fliplr: 0.5
+bgr: 0.0
+mosaic: 1.0
+mixup: 0.0
+cutmix: 0.0
+copy_paste: 0.0
+copy_paste_mode: flip
+auto_augment: randaugment
+erasing: 0.4
+cfg: null
+tracker: botsort.yaml

database/config/train_configs/template_3.yaml

+# 模板3 - 高精度训练配置（精度优先）
+# 用于追求最高精度的模型训练
+
+task: segment
+mode: train
+model: database/model/detection_model/5/best.dat
+data: database/dataset/data_template_3.yaml
+epochs: 200
+batch: 32
+imgsz: 768
+save: true
+save_period: 10
+cache: false
+device: gpu
+workers: 4
+project: runs/train
+name: template_3_exp
+exist_ok: false
+pretrained: false
+optimizer: Adam
+verbose: false
+seed: 0
+deterministic: true
+single_cls: false
+rect: false
+cos_lr: true
+close_mosaic: 10
+resume: false
+amp: false
+fraction: 1.0
+profile: false
+freeze: null
+multi_scale: true
+overlap_mask: true
+mask_ratio: 4
+dropout: 0.0
+val: true
+split: val
+save_json: false
+conf: null
+iou: 0.7
+max_det: 300
+half: false
+dnn: false
+plots: true
+source: null
+vid_stride: 1
+stream_buffer: false
+visualize: false
+augment: false
+agnostic_nms: false
+classes: null
+retina_masks: false
+embed: null
+show: false
+save_frames: false
+save_txt: false
+save_conf: false
+save_crop: false
+show_labels: true
+show_conf: true
+show_boxes: true
+line_width: null
+format: torchscript
+keras: false
+optimize: false
+int8: false
+dynamic: false
+simplify: true
+opset: null
+workspace: null
+nms: false
+lr0: 0.01
+lrf: 0.01
+momentum: 0.937
+weight_decay: 0.0005
+warmup_epochs: 3.0
+warmup_momentum: 0.8
+warmup_bias_lr: 0.1
+box: 7.5
+cls: 0.5
+dfl: 1.5
+pose: 12.0
+kobj: 1.0
+nbs: 64
+hsv_h: 0.015
+hsv_s: 0.7
+hsv_v: 0.4
+degrees: 0.0
+translate: 0.1
+scale: 0.5
+shear: 0.0
+perspective: 0.0
+flipud: 0.0
+fliplr: 0.5
+bgr: 0.0
+mosaic: 1.0
+mixup: 0.0
+cutmix: 0.0
+copy_paste: 0.0
+copy_paste_mode: flip
+auto_augment: randaugment
+erasing: 0.4
+cfg: null
+tracker: botsort.yaml

database/mission_result/2恶趣味_q'we/2恶趣味_q'we.yaml

+task_id: 2恶趣味
+task_id: 2恶趣味
+task_name: q'we
+status: 待配置
+selected_channels:
+- 通道2
+created_time: '2025-11-26 14:56:26'
+mission_result_folder_path: d:\restructure\liquid_level_line_detection_system\database\mission_result\2恶趣味_q'we

database/model/detection_model/detect/模型描述.txt

+然后我去佛i好的食品发酵食品的
+然后我去佛i好的食品发酵食品的
\ No newline at end of file

database/video_crop_mapping.json

+{
+  "d:\\restructure\\liquid_level_line_detection_system\\database\\data\\111\\recording_20251114_161804.mp4": {
+    "save_path": "d:\\restructure\\liquid_level_line_detection_system\\database\\Corp_picture",
+    "region_paths": [
+      "d:\\restructure\\liquid_level_line_detection_system\\database\\Corp_picture\\recording_20251114_161804_区域1",
+      "d:\\restructure\\liquid_level_line_detection_system\\database\\Corp_picture\\recording_20251114_161804_区域2",
+      "d:\\restructure\\liquid_level_line_detection_system\\database\\Corp_picture\\recording_20251114_161804_区域3"
+    ],
+    "timestamp": 1763623553.6413627
+  },
+  "d:\\restructure\\liquid_level_line_detection_system\\database\\data\\111\\采集视频_20251115_213950.mp4": {
+    "save_path": "d:\\restructure\\liquid_level_line_detection_system\\database\\Corp_picture",
+    "region_paths": [
+      "d:\\restructure\\liquid_level_line_detection_system\\database\\Corp_picture\\采集视频_20251115_213950_区域1",
+      "d:\\restructure\\liquid_level_line_detection_system\\database\\Corp_picture\\采集视频_20251115_213950_区域2",
+      "d:\\restructure\\liquid_level_line_detection_system\\database\\Corp_picture\\采集视频_20251115_213950_区域3"
+    ],
+    "timestamp": 1763623570.4085448
+  },
+  "d:\\restructure\\liquid_level_line_detection_system\\database\\data\\111\\11.mp4": {
+    "save_path": "d:\\restructure\\liquid_level_line_detection_system\\database\\Corp_picture",
+    "region_paths": [
+      "d:\\restructure\\liquid_level_line_detection_system\\database\\Corp_picture\\11_区域1"
+    ],
+    "timestamp": 1764162728.0737584
+  },
+  "D:\\restructure\\liquid_level_line_detection_system\\database\\data\\111\\11.mp4": {
+    "save_path": "d:\\restructure\\liquid_level_line_detection_system\\database\\Corp_picture",
+    "region_paths": [
+      "d:\\restructure\\liquid_level_line_detection_system\\database\\Corp_picture\\11_区域1",
+      "d:\\restructure\\liquid_level_line_detection_system\\database\\Corp_picture\\11_区域2"
+    ],
+    "timestamp": 1763809441.0187602
+  },
+  "D:\\restructure\\liquid_level_line_detection_system\\database\\data\\111\\recording_20251114_161804.mp4": {
+    "save_path": "d:\\restructure\\liquid_level_line_detection_system\\database\\Corp_picture",
+    "region_paths": [
+      "d:\\restructure\\liquid_level_line_detection_system\\database\\Corp_picture\\recording_20251114_161804_区域1",
+      "d:\\restructure\\liquid_level_line_detection_system\\database\\Corp_picture\\recording_20251114_161804_区域2",
+      "d:\\restructure\\liquid_level_line_detection_system\\database\\Corp_picture\\recording_20251114_161804_区域3"
+    ],
+    "timestamp": 1763652978.8164835
+  },
+  "D:\\restructure\\liquid_level_line_detection_system\\database\\data\\111\\采集视频_20251114_162238.mp4": {
+    "save_path": "d:\\restructure\\liquid_level_line_detection_system\\database\\Corp_picture",
+    "region_paths": [
+      "d:\\restructure\\liquid_level_line_detection_system\\database\\Corp_picture\\采集视频_20251114_162238_区域1",
+      "d:\\restructure\\liquid_level_line_detection_system\\database\\Corp_picture\\采集视频_20251114_162238_区域2",
+      "d:\\restructure\\liquid_level_line_detection_system\\database\\Corp_picture\\采集视频_20251114_162238_区域3"
+    ],
+    "timestamp": 1763653387.158211
+  },
+  "D:\\restructure\\liquid_level_line_detection_system\\database\\data\\111\\采集视频_20251115_213950.mp4": {
+    "save_path": "d:\\restructure\\liquid_level_line_detection_system\\database\\Corp_picture",
+    "region_paths": [
+      "d:\\restructure\\liquid_level_line_detection_system\\database\\Corp_picture\\采集视频_20251115_213950_区域1",
+      "d:\\restructure\\liquid_level_line_detection_system\\database\\Corp_picture\\采集视频_20251115_213950_区域2",
+      "d:\\restructure\\liquid_level_line_detection_system\\database\\Corp_picture\\采集视频_20251115_213950_区域3"
+    ],
+    "timestamp": 1763653027.766409
+  },
+  "D:\\restructure\\liquid_level_line_detection_system\\database\\data\\111\\采集视频_20251118_102818.mp4": {
+    "save_path": "d:\\restructure\\liquid_level_line_detection_system\\database\\Corp_picture",
+    "region_paths": [
+      "d:\\restructure\\liquid_level_line_detection_system\\database\\Corp_picture\\采集视频_20251118_102818_区域1",
+      "d:\\restructure\\liquid_level_line_detection_system\\database\\Corp_picture\\采集视频_20251118_102818_区域2",
+      "d:\\restructure\\liquid_level_line_detection_system\\database\\Corp_picture\\采集视频_20251118_102818_区域3"
+    ],
+    "timestamp": 1763653036.4475722
+  },
+  "D:\\restructure\\liquid_level_line_detection_system\\database\\data\\111\\采集视频_20251120_152702.mp4": {
+    "save_path": "d:\\restructure\\liquid_level_line_detection_system\\database\\Corp_picture",
+    "region_paths": [
+      "d:\\restructure\\liquid_level_line_detection_system\\database\\Corp_picture\\采集视频_20251120_152702_区域1",
+      "d:\\restructure\\liquid_level_line_detection_system\\database\\Corp_picture\\采集视频_20251120_152702_区域2",
+      "d:\\restructure\\liquid_level_line_detection_system\\database\\Corp_picture\\采集视频_20251120_152702_区域3"
+    ],
+    "timestamp": 1763653067.312616
+  },
+  "D:\\restructure\\liquid_level_line_detection_system\\database\\data\\111\\采集视频_20251120_153508.mp4": {
+    "save_path": "d:\\restructure\\liquid_level_line_detection_system\\database\\Corp_picture",
+    "region_paths": [
+      "d:\\restructure\\liquid_level_line_detection_system\\database\\Corp_picture\\采集视频_20251120_153508_区域1",
+      "d:\\restructure\\liquid_level_line_detection_system\\database\\Corp_picture\\采集视频_20251120_153508_区域2",
+      "d:\\restructure\\liquid_level_line_detection_system\\database\\Corp_picture\\采集视频_20251120_153508_区域3"
+    ],
+    "timestamp": 1763801356.5907655
+  },
+  "d:\\restructure\\liquid_level_line_detection_system\\database\\data\\111\\采集视频_20251118_102818.mp4": {
+    "save_path": "d:\\restructure\\liquid_level_line_detection_system\\database\\Corp_picture",
+    "region_paths": [
+      "d:\\restructure\\liquid_level_line_detection_system\\database\\Corp_picture\\采集视频_20251118_102818_区域1",
+      "d:\\restructure\\liquid_level_line_detection_system\\database\\Corp_picture\\采集视频_20251118_102818_区域2",
+      "d:\\restructure\\liquid_level_line_detection_system\\database\\Corp_picture\\采集视频_20251118_102818_区域3"
+    ],
+    "timestamp": 1764210156.5055494
+  },
+  "d:\\restructure\\liquid_level_line_detection_system\\database\\data\\test2\\采集视频_20251127_094018.mp4": {
+    "save_path": "d:\\restructure\\liquid_level_line_detection_system\\database\\Corp_picture",
+    "region_paths": [
+      "d:\\restructure\\liquid_level_line_detection_system\\database\\Corp_picture\\采集视频_20251127_094018_区域1",
+      "d:\\restructure\\liquid_level_line_detection_system\\database\\Corp_picture\\采集视频_20251127_094018_区域2"
+    ],
+    "timestamp": 1764210266.1624653
+  }
+}
\ No newline at end of file

hooks/embed_resources.py

+"""
+
+Pythonexe
+SDK_internal
+"""
+import os
+import base64
+from pathlib import Path
+
+def embed_file_to_python(file_path, output_path, var_name):
+    """
+    Pythonbase64
+    
+    Args:
+        file_path: 
+        output_path: Python
+        var_name: 
+    """
+    with open(file_path, 'rb') as f:
+        data = f.read()
+    
+    encoded = base64.b64encode(data).decode('utf-8')
+    
+    # Python
+    code = f'''"""
+
+: {file_path}
+"""
+import base64
+import io
+
+# Base64
+_{var_name}_data = """{encoded}"""
+
+def get_{var_name}():
+    """"""
+    return base64.b64decode(_{var_name}_data)
+
+def get_{var_name}_path():
+    """"""
+    import tempfile
+    import os
+    
+    data = get_{var_name}()
+    # 
+    ext = os.path.splitext("{os.path.basename(file_path)}")[1]
+    
+    # 
+    fd, temp_path = tempfile.mkstemp(suffix=ext, prefix='embedded_resource_')
+    try:
+        with os.fdopen(fd, 'wb') as f:
+            f.write(data)
+        return temp_path
+    except:
+        os.close(fd)
+        raise
+'''
+    
+    with open(output_path, 'w', encoding='utf-8') as f:
+        f.write(code)
+    
+    print(f" : {file_path} -> {output_path} (: {var_name})")
+
+def embed_directory_to_python(dir_path, output_dir, max_size_mb=1):
+    """
+    Python
+    
+    Args:
+        dir_path: 
+        output_dir: 
+        max_size_mb: MB
+    """
+    os.makedirs(output_dir, exist_ok=True)
+    
+    embedded_files = []
+    skipped_files = []
+    
+    for root, dirs, files in os.walk(dir_path):
+        for file in files:
+            file_path = os.path.join(root, file)
+            rel_path = os.path.relpath(file_path, dir_path)
+            
+            # 
+            size_mb = os.path.getsize(file_path) / (1024 * 1024)
+            
+            if size_mb > max_size_mb:
+                skipped_files.append((rel_path, size_mb))
+                continue
+            
+            # 
+            var_name = rel_path.replace(os.sep, '_').replace('.', '_').replace('-', '_')
+            # 
+            output_path = os.path.join(output_dir, f"embedded_{var_name}.py")
+            
+            try:
+                embed_file_to_python(file_path, output_path, var_name)
+                embedded_files.append((rel_path, file_path))
+            except Exception as e:
+                print(f" : {file_path} - {e}")
+                skipped_files.append((rel_path, size_mb))
+    
+    print(f"\n:")
+    print(f"   : {len(embedded_files)} ")
+    print(f"   : {len(skipped_files)} {max_size_mb}MB")
+    
+    return embedded_files, skipped_files
+
+if __name__ == '__main__':
+    # icons
+    project_root = os.path.abspath('.')
+    icons_dir = os.path.join(project_root, 'icons')
+    output_dir = os.path.join(project_root, 'hooks', 'embedded_resources')
+    
+    if os.path.exists(icons_dir):
+        print("icons...")
+        embed_directory_to_python(icons_dir, output_dir, max_size_mb=0.5)  # 0.5MB
+    else:
+        print(f": {icons_dir}")
+
+

hooks/hook-encodings.py

+# -*- coding: utf-8 -*-
+"""
+PyInstaller hook for encodings module
+
+ encodings  encodings 
+"""
+
+from PyInstaller.utils.hooks import collect_submodules
+
+#  encodings 
+hiddenimports = collect_submodules('encodings')
+
+#  encodings  exe.spec 
+#  encodings  base_library.zip 
+datas = []
+

hooks/hook-pyarmor.py

+"""
+PyArmor Hook for PyInstaller
+PyInstallerPyArmor
+"""
+from PyInstaller.utils.hooks import collect_data_files, collect_submodules
+
+# PyArmor
+hiddenimports = [
+    'pyarmor',
+    'pyarmor.pyarmor_runtime',
+    'pyarmor.pyarmor_runtime_000000',
+    'pyarmor.pytransform',
+    'pytransform',
+]
+
+# pyarmor
+try:
+    hiddenimports += collect_submodules('pyarmor')
+except:
+    pass
+
+# PyArmor
+datas = []
+try:
+    datas += collect_data_files('pyarmor')
+except:
+    pass
+
+# PyArmorhook
+
+# PyArmor.so/.dll
+binaries = []
+try:
+    from PyInstaller.utils.hooks import collect_dynamic_libs
+    binaries += collect_dynamic_libs('pyarmor')
+except:
+    pass
+

hooks/hook-torch.py

+from PyInstaller.utils.hooks import collect_submodules, collect_dynamic_libs
+
+# 
+# -  torch  .py  _internal/torch
+# - DLL/PYD Python  PYZ.pyc
+hiddenimports = collect_submodules('torch')
+binaries = collect_dynamic_libs('torch')
+datas = []
+
+

hooks/runtime_debug_log.py

+import os
+import sys
+import faulthandler
+import traceback
+from datetime import datetime
+
+
+def _log_dir() -> str:
+    # onedir: sys.executable  dist/exe/exe.exe
+    base_dir = os.path.dirname(getattr(sys, "executable", sys.argv[0]))
+    path = os.path.join(base_dir, "logs")
+    try:
+        os.makedirs(path, exist_ok=True)
+    except Exception:
+        # 
+        path = os.path.join(os.path.abspath(os.getcwd()), "logs")
+        os.makedirs(path, exist_ok=True)
+    return path
+
+
+def _open_log_file():
+    timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
+    log_path = os.path.join(_log_dir(), f"app_{timestamp}.log")
+    # 
+    #  encodings 
+    try:
+        return open(log_path, mode="a", encoding="utf-8", buffering=1)
+    except (LookupError, NameError):
+        #  encodings 
+        return open(log_path, mode="a", buffering=1)
+
+
+def _install_handlers():
+    log_fh = _open_log_file()
+
+    # 
+    print_fn = lambda *args: log_fh.write(" ".join(str(a) for a in args) + "\n")
+    print_fn("===== Application Start =====")
+    print_fn("Executable:", getattr(sys, "executable", sys.argv[0]))
+    print_fn("CWD:", os.getcwd())
+    print_fn("Args:", " ".join(sys.argv))
+
+    #  stdout/stderr 
+    sys.stdout = log_fh
+    sys.stderr = log_fh
+
+    #  faulthandler
+    try:
+        faulthandler.enable(log_fh)
+    except Exception:
+        pass
+
+    # 
+    def _excepthook(exc_type, exc, tb):
+        log_fh.write("===== Uncaught Exception =====\n")
+        traceback.print_exception(exc_type, exc, tb, file=log_fh)
+        log_fh.flush()
+
+    sys.excepthook = _excepthook
+
+
+# import  Python 
+#  sys.modules  encodings 
+def _delayed_install():
+    try:
+        #  encodings 
+        import encodings
+        _install_handlers()
+    except Exception:
+        #  encodings 
+        try:
+            _install_handlers()
+        except Exception:
+            # 
+            pass
+
+# 
+import sys
+if hasattr(sys, '_getframe'):
+    #  sys._getframe 
+    try:
+        _delayed_install()
+    except:
+        pass
+else:
+    # 
+    try:
+        _delayed_install()
+    except:
+        pass
+
+

hooks/runtime_decrypt_torch.py

+import os
+import sys
+import json
+import tempfile
+import shutil
+
+#  hook
+# -  Python 
+# -  _internal/encrypted  .bin  DLL 
+# - /IV
+
+AES256_KEY = b'0123456789ABCDEF0123456789ABCDEF'  #  exe.spec 
+AES_IV = b'ABCDEF0123456789'  #  exe.spec 
+
+PROTECT_KEYWORDS = ['torch', 'torchvision', 'torchaudio']
+
+def _try_import_crypto():
+    try:
+        from cryptography.hazmat.primitives.ciphers import Cipher, algorithms, modes
+        from cryptography.hazmat.backends import default_backend
+        return Cipher, algorithms, modes, default_backend
+    except Exception:
+        return None, None, None, None
+
+def _decrypt_bytes(data: bytes) -> bytes:
+    Cipher, algorithms, modes, default_backend = _try_import_crypto()
+    if Cipher is not None:
+        cipher = Cipher(algorithms.AES(AES256_KEY), modes.CTR(AES_IV), backend=default_backend())
+        decryptor = cipher.decryptor()
+        return decryptor.update(data) + decryptor.finalize()
+    #  XOR
+    key = AES256_KEY
+    out = bytearray(len(data))
+    for i, b in enumerate(data):
+        out[i] = b ^ key[i % len(key)]
+    return bytes(out)
+
+def _get_base_dir():
+    # PyInstaller onedir _MEIPASS  _internal 
+    #  _MEIPASS
+    if hasattr(sys, '_MEIPASS') and sys._MEIPASS:
+        return sys._MEIPASS
+    # exe 
+    exe_dir = os.path.dirname(sys.executable)
+    # dist/exe/exe.exe  dist/exe/_internal
+    # a.datas  encrypted  _internal/encrypted
+    return os.path.join(exe_dir, '_internal')
+
+def _load_manifest(encrypted_root):
+    manifest_path = os.path.join(encrypted_root, 'manifest.json')
+    if not os.path.exists(manifest_path):
+        return []
+    try:
+        with open(manifest_path, 'r', encoding='utf-8') as f:
+            return json.load(f)
+    except Exception:
+        return []
+
+def _prepare_temp_dir():
+    base = tempfile.gettempdir()
+    target = os.path.join(base, 'lllds_decrypt_bins')
+    os.makedirs(target, exist_ok=True)
+    return target
+
+def _add_search_path(path):
+    # Windows:  DLL 
+    try:
+        if hasattr(os, 'add_dll_directory'):
+            os.add_dll_directory(path)
+    except Exception:
+        pass
+    if path not in os.environ.get('PATH', ''):
+        os.environ['PATH'] = path + os.pathsep + os.environ.get('PATH', '')
+    if path not in sys.path:
+        sys.path.insert(0, path)
+
+def _main():
+    try:
+        base_dir = _get_base_dir()
+        encrypted_root = os.path.join(base_dir, 'encrypted')
+        if not os.path.isdir(encrypted_root):
+            return
+        manifest = _load_manifest(encrypted_root)
+        if not manifest:
+            return
+        out_dir = _prepare_temp_dir()
+        wrote_any = False
+        for item in manifest:
+            name = item.get('name')
+            cipher_rel = item.get('cipher_path')
+            if not name or not cipher_rel:
+                continue
+            # 
+            low = name.lower()
+            if not any(k in low for k in PROTECT_KEYWORDS):
+                continue
+            cipher_abs = os.path.join(base_dir, cipher_rel.replace('/', os.sep))
+            if not os.path.exists(cipher_abs):
+                continue
+            with open(cipher_abs, 'rb') as f:
+                enc = f.read()
+            raw = _decrypt_bytes(enc)
+            out_path = os.path.join(out_dir, name)
+            with open(out_path, 'wb') as wf:
+                wf.write(raw)
+            wrote_any = True
+        if wrote_any:
+            _add_search_path(out_dir)
+    except Exception:
+        # 
+        pass
+
+_main()
+
+

hooks/runtime_hook_ultralytics.py

+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+
+"""
+PyInstaller  Hook - ultralytics 
+ ultralytics 
+"""
+
+import os
+import sys
+import tempfile
+from pathlib import Path
+
+def setup_ultralytics_environment():
+    """ ultralytics """
+    try:
+        # 
+        if getattr(sys, 'frozen', False):
+            # 
+            app_dir = Path(sys.executable).parent
+        else:
+            # 
+            app_dir = Path(__file__).parent.parent
+        
+        #  ultralytics 
+        os.environ['YOLO_CONFIG_DIR'] = str(app_dir / 'database' / 'config')
+        
+        #  ultralytics 
+        temp_dir = tempfile.mkdtemp(prefix='ultralytics_')
+        os.environ['ULTRALYTICS_CONFIG_DIR'] = temp_dir
+        
+        #  ultralytics 
+        os.environ['YOLO_VERBOSE'] = 'False'
+        os.environ['ULTRALYTICS_ANALYTICS'] = 'False'
+        
+        print(f" ultralytics : {app_dir}")
+        
+    except Exception as e:
+        print(f"  ultralytics : {e}")
+
+# 
+setup_ultralytics_environment()

hooks/runtime_pyarmor.py

+"""
+PyArmor Runtime Hook
+PyInstallerPyArmor
+"""
+import os
+import sys
+def _init_pyarmor_runtime():
+    """
+    PyArmor
+    PyArmor
+    """
+    try:
+        # _internalonedir
+        if hasattr(sys, '_MEIPASS'):
+            # onefile
+            base_dir = sys._MEIPASS
+        else:
+            # onedirexe.exe_internal
+            exe_dir = os.path.dirname(sys.executable)
+            base_dir = os.path.join(exe_dir, '_internal')
+        
+        # _internalsys.path
+        if base_dir not in sys.path:
+            sys.path.insert(0, base_dir)
+        
+        # PyArmorPyArmor
+        try:
+            import pyarmor.pyarmor_runtime  # type: ignore  # 
+        except ImportError:
+            # PyArmor
+            pass
+            
+    except Exception:
+        # 
+        pass
+
+# 
+_init_pyarmor_runtime()
+

labelme/__init__.py

+# flake8: noqa
+
+import logging
+import sys
+
+from qtpy import QT_VERSION
+
+
+__appname__ = "labelme"
+
+# Semantic Versioning 2.0.0: https://semver.org/
+# 1. MAJOR version when you make incompatible API changes;
+# 2. MINOR version when you add functionality in a backwards-compatible manner;
+# 3. PATCH version when you make backwards-compatible bug fixes.
+# e.g., 1.0.0a0, 1.0.0a1, 1.0.0b0, 1.0.0rc0, 1.0.0, 1.0.0.post0
+__version__ = "5.2.1"
+
+QT4 = QT_VERSION[0] == "4"
+QT5 = QT_VERSION[0] == "5"
+del QT_VERSION
+
+PY2 = sys.version[0] == "2"
+PY3 = sys.version[0] == "3"
+del sys
+
+from labelme.label_file import LabelFile
+from labelme import testing
+from labelme import utils

labelme/__main__.py

+import argparse
+import codecs
+import logging
+import os
+import os.path as osp
+import sys
+import yaml
+
+#  Python 
+parent_dir = osp.dirname(osp.dirname(osp.abspath(__file__)))
+if parent_dir not in sys.path:
+    sys.path.insert(0, parent_dir)
+
+from qtpy import QtCore
+from qtpy import QtWidgets
+
+from labelme import __appname__
+from labelme import __version__
+from labelme.app import MainWindow
+from labelme.config import get_config
+from labelme.logger import logger
+from labelme.utils import newIcon
+
+
+def main():
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        "--version", "-V", action="store_true", help="show version"
+    )
+    parser.add_argument(
+        "--reset-config", action="store_true", help="reset qt config"
+    )
+    parser.add_argument(
+        "--logger-level",
+        default="info",
+        choices=["debug", "info", "warning", "fatal", "error"],
+        help="logger level",
+    )
+    parser.add_argument("filename", nargs="?", help="image or label filename")
+    parser.add_argument(
+        "--output",
+        "-O",
+        "-o",
+        help="output file or directory (if it ends with .json it is "
+        "recognized as file, else as directory)",
+    )
+    default_config_file = os.path.join(os.path.expanduser("~"), ".labelmerc")
+    parser.add_argument(
+        "--config",
+        dest="config",
+        help="config file or yaml-format string (default: {})".format(
+            default_config_file
+        ),
+        default=default_config_file,
+    )
+    # config for the gui
+    parser.add_argument(
+        "--nodata",
+        dest="store_data",
+        action="store_false",
+        help="stop storing image data to JSON file",
+        default=argparse.SUPPRESS,
+    )
+    parser.add_argument(
+        "--autosave",
+        dest="auto_save",
+        action="store_true",
+        help="auto save",
+        default=argparse.SUPPRESS,
+    )
+    parser.add_argument(
+        "--nosortlabels",
+        dest="sort_labels",
+        action="store_false",
+        help="stop sorting labels",
+        default=argparse.SUPPRESS,
+    )
+    parser.add_argument(
+        "--flags",
+        help="comma separated list of flags OR file containing flags",
+        default=argparse.SUPPRESS,
+    )
+    parser.add_argument(
+        "--labelflags",
+        dest="label_flags",
+        help=r"yaml string of label specific flags OR file containing json "
+        r"string of label specific flags (ex. {person-\d+: [male, tall], "
+        r"dog-\d+: [black, brown, white], .*: [occluded]})",  # NOQA
+        default=argparse.SUPPRESS,
+    )
+    parser.add_argument(
+        "--labels",
+        help="comma separated list of labels OR file containing labels",
+        default=argparse.SUPPRESS,
+    )
+    parser.add_argument(
+        "--validatelabel",
+        dest="validate_label",
+        choices=["exact"],
+        help="label validation types",
+        default=argparse.SUPPRESS,
+    )
+    parser.add_argument(
+        "--keep-prev",
+        action="store_true",
+        help="keep annotation of previous frame",
+        default=argparse.SUPPRESS,
+    )
+    parser.add_argument(
+        "--epsilon",
+        type=float,
+        help="epsilon to find nearest vertex on canvas",
+        default=argparse.SUPPRESS,
+    )
+    args = parser.parse_args()
+
+    if args.version:
+        print("{0} {1}".format(__appname__, __version__))
+        sys.exit(0)
+
+    logger.setLevel(getattr(logging, args.logger_level.upper()))
+
+    if hasattr(args, "flags"):
+        if os.path.isfile(args.flags):
+            with codecs.open(args.flags, "r", encoding="utf-8") as f:
+                args.flags = [line.strip() for line in f if line.strip()]
+        else:
+            args.flags = [line for line in args.flags.split(",") if line]
+
+    if hasattr(args, "labels"):
+        if os.path.isfile(args.labels):
+            with codecs.open(args.labels, "r", encoding="utf-8") as f:
+                args.labels = [line.strip() for line in f if line.strip()]
+        else:
+            args.labels = [line for line in args.labels.split(",") if line]
+
+    if hasattr(args, "label_flags"):
+        if os.path.isfile(args.label_flags):
+            with codecs.open(args.label_flags, "r", encoding="utf-8") as f:
+                args.label_flags = yaml.safe_load(f)
+        else:
+            args.label_flags = yaml.safe_load(args.label_flags)
+
+    config_from_args = args.__dict__
+    config_from_args.pop("version")
+    reset_config = config_from_args.pop("reset_config")
+    filename = config_from_args.pop("filename")
+    output = config_from_args.pop("output")
+    config_file_or_yaml = config_from_args.pop("config")
+    config = get_config(config_file_or_yaml, config_from_args)
+
+    if not config["labels"] and config["validate_label"]:
+        logger.error(
+            "--labels must be specified with --validatelabel or "
+            "validate_label: true in the config file "
+            "(ex. ~/.labelmerc)."
+        )
+        sys.exit(1)
+
+    output_file = None
+    output_dir = None
+    if output is not None:
+        if output.endswith(".json"):
+            output_file = output
+        else:
+            output_dir = output
+
+    translator = QtCore.QTranslator()
+    translator.load(
+        QtCore.QLocale.system().name(),
+        osp.dirname(osp.abspath(__file__)) + "/translate",
+    )
+    app = QtWidgets.QApplication(sys.argv)
+    app.setApplicationName(__appname__)
+    app.setWindowIcon(newIcon("icon"))
+    app.installTranslator(translator)
+    win = MainWindow(
+        config=config,
+        filename=filename,
+        output_file=output_file,
+        output_dir=output_dir,
+    )
+
+    if reset_config:
+        logger.info("Resetting Qt config: %s" % win.settings.fileName())
+        win.settings.clear()
+        sys.exit(0)
+
+    win.show()
+    win.raise_()
+    sys.exit(app.exec_())
+
+
+# this main block is required to generate executable by pyinstaller
+if __name__ == "__main__":
+    main()

labelme/cli/__init__.py

+# flake8: noqa
+
+from . import draw_json
+from . import draw_label_png
+from . import json_to_dataset
+from . import on_docker

labelme/cli/draw_json.py

+#!/usr/bin/env python
+
+import argparse
+import sys
+
+import imgviz
+import matplotlib.pyplot as plt
+
+from labelme.label_file import LabelFile
+from labelme import utils
+
+
+PY2 = sys.version_info[0] == 2
+
+
+def main():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("json_file")
+    args = parser.parse_args()
+
+    label_file = LabelFile(args.json_file)
+    img = utils.img_data_to_arr(label_file.imageData)
+
+    label_name_to_value = {"_background_": 0}
+    for shape in sorted(label_file.shapes, key=lambda x: x["label"]):
+        label_name = shape["label"]
+        if label_name in label_name_to_value:
+            label_value = label_name_to_value[label_name]
+        else:
+            label_value = len(label_name_to_value)
+            label_name_to_value[label_name] = label_value
+    lbl, _ = utils.shapes_to_label(
+        img.shape, label_file.shapes, label_name_to_value
+    )
+
+    label_names = [None] * (max(label_name_to_value.values()) + 1)
+    for name, value in label_name_to_value.items():
+        label_names[value] = name
+    lbl_viz = imgviz.label2rgb(
+        lbl,
+        imgviz.asgray(img),
+        label_names=label_names,
+        font_size=30,
+        loc="rb",
+    )
+
+    plt.subplot(121)
+    plt.imshow(img)
+    plt.subplot(122)
+    plt.imshow(lbl_viz)
+    plt.show()
+
+
+if __name__ == "__main__":
+    main()

labelme/cli/draw_label_png.py

+import argparse
+
+import imgviz
+import matplotlib.pyplot as plt
+import numpy as np
+import PIL.Image
+
+from labelme.logger import logger
+
+
+def main():
+    parser = argparse.ArgumentParser(
+        formatter_class=argparse.ArgumentDefaultsHelpFormatter
+    )
+    parser.add_argument("label_png", help="label PNG file")
+    args = parser.parse_args()
+
+    lbl = np.asarray(PIL.Image.open(args.label_png))
+
+    logger.info("label shape: {}".format(lbl.shape))
+    logger.info("unique label values: {}".format(np.unique(lbl)))
+
+    lbl_viz = imgviz.label2rgb(lbl)
+    plt.imshow(lbl_viz)
+    plt.show()
+
+
+if __name__ == "__main__":
+    main()

labelme/cli/json_to_dataset.py

+import argparse
+import base64
+import json
+import os
+import os.path as osp
+
+import imgviz
+import PIL.Image
+
+from labelme.logger import logger
+from labelme import utils
+
+
+def main():
+    logger.warning(
+        "This script is aimed to demonstrate how to convert the "
+        "JSON file to a single image dataset."
+    )
+    logger.warning(
+        "It won't handle multiple JSON files to generate a "
+        "real-use dataset."
+    )
+
+    parser = argparse.ArgumentParser()
+    parser.add_argument("json_file")
+    parser.add_argument("-o", "--out", default=None)
+    args = parser.parse_args()
+
+    json_file = args.json_file
+
+    if args.out is None:
+        out_dir = osp.basename(json_file).replace(".", "_")
+        out_dir = osp.join(osp.dirname(json_file), out_dir)
+    else:
+        out_dir = args.out
+    if not osp.exists(out_dir):
+        os.mkdir(out_dir)
+
+    data = json.load(open(json_file))
+    imageData = data.get("imageData")
+
+    if not imageData:
+        imagePath = os.path.join(os.path.dirname(json_file), data["imagePath"])
+        with open(imagePath, "rb") as f:
+            imageData = f.read()
+            imageData = base64.b64encode(imageData).decode("utf-8")
+    img = utils.img_b64_to_arr(imageData)
+
+    label_name_to_value = {"_background_": 0}
+    for shape in sorted(data["shapes"], key=lambda x: x["label"]):
+        label_name = shape["label"]
+        if label_name in label_name_to_value:
+            label_value = label_name_to_value[label_name]
+        else:
+            label_value = len(label_name_to_value)
+            label_name_to_value[label_name] = label_value
+    lbl, _ = utils.shapes_to_label(
+        img.shape, data["shapes"], label_name_to_value
+    )
+
+    label_names = [None] * (max(label_name_to_value.values()) + 1)
+    for name, value in label_name_to_value.items():
+        label_names[value] = name
+
+    lbl_viz = imgviz.label2rgb(
+        lbl, imgviz.asgray(img), label_names=label_names, loc="rb"
+    )
+
+    PIL.Image.fromarray(img).save(osp.join(out_dir, "img.png"))
+    utils.lblsave(osp.join(out_dir, "label.png"), lbl)
+    PIL.Image.fromarray(lbl_viz).save(osp.join(out_dir, "label_viz.png"))
+
+    with open(osp.join(out_dir, "label_names.txt"), "w") as f:
+        for lbl_name in label_names:
+            f.write(lbl_name + "\n")
+
+    logger.info("Saved to: {}".format(out_dir))
+
+
+if __name__ == "__main__":
+    main()

labelme/cli/on_docker.py

+#!/usr/bin/env python
+
+from __future__ import print_function
+
+import argparse
+import distutils.spawn
+import json
+import os
+import os.path as osp
+import platform
+import shlex
+import subprocess
+import sys
+
+
+def get_ip():
+    dist = platform.platform().split("-")[0]
+    if dist == "Linux":
+        return ""
+    elif dist == "Darwin":
+        cmd = "ifconfig en0"
+        output = subprocess.check_output(shlex.split(cmd))
+        if str != bytes:  # Python3
+            output = output.decode("utf-8")
+        for row in output.splitlines():
+            cols = row.strip().split(" ")
+            if cols[0] == "inet":
+                ip = cols[1]
+                return ip
+        else:
+            raise RuntimeError("No ip is found.")
+    else:
+        raise RuntimeError("Unsupported platform.")
+
+
+def labelme_on_docker(in_file, out_file):
+    ip = get_ip()
+    cmd = "xhost + %s" % ip
+    subprocess.check_output(shlex.split(cmd))
+
+    if out_file:
+        out_file = osp.abspath(out_file)
+        if osp.exists(out_file):
+            raise RuntimeError("File exists: %s" % out_file)
+        else:
+            open(osp.abspath(out_file), "w")
+
+    cmd = (
+        "docker run -it --rm"
+        " -e DISPLAY={0}:0"
+        " -e QT_X11_NO_MITSHM=1"
+        " -v /tmp/.X11-unix:/tmp/.X11-unix"
+        " -v {1}:{2}"
+        " -w /home/developer"
+    )
+    in_file_a = osp.abspath(in_file)
+    in_file_b = osp.join("/home/developer", osp.basename(in_file))
+    cmd = cmd.format(
+        ip,
+        in_file_a,
+        in_file_b,
+    )
+    if out_file:
+        out_file_a = osp.abspath(out_file)
+        out_file_b = osp.join("/home/developer", osp.basename(out_file))
+        cmd += " -v {0}:{1}".format(out_file_a, out_file_b)
+    cmd += " wkentaro/labelme labelme {0}".format(in_file_b)
+    if out_file:
+        cmd += " -O {0}".format(out_file_b)
+    subprocess.call(shlex.split(cmd))
+
+    if out_file:
+        try:
+            json.load(open(out_file))
+            return out_file
+        except Exception:
+            if open(out_file).read() == "":
+                os.remove(out_file)
+            raise RuntimeError("Annotation is cancelled.")
+
+
+def main():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("in_file", help="Input file or directory.")
+    parser.add_argument("-O", "--output")
+    args = parser.parse_args()
+
+    if not distutils.spawn.find_executable("docker"):
+        print("Please install docker", file=sys.stderr)
+        sys.exit(1)
+
+    try:
+        out_file = labelme_on_docker(args.in_file, args.output)
+        if out_file:
+            print("Saved to: %s" % out_file)
+    except RuntimeError as e:
+        sys.stderr.write(e.__str__() + "\n")
+        sys.exit(1)
+
+
+if __name__ == "__main__":
+    main()

labelme/config/__init__.py

+import os.path as osp
+import shutil
+
+import yaml
+
+from labelme.logger import logger
+
+
+here = osp.dirname(osp.abspath(__file__))
+
+
+def update_dict(target_dict, new_dict, validate_item=None):
+    for key, value in new_dict.items():
+        if validate_item:
+            validate_item(key, value)
+        if key not in target_dict:
+            logger.warn("Skipping unexpected key in config: {}".format(key))
+            continue
+        if isinstance(target_dict[key], dict) and isinstance(value, dict):
+            update_dict(target_dict[key], value, validate_item=validate_item)
+        else:
+            target_dict[key] = value
+
+
+# -----------------------------------------------------------------------------
+
+
+def get_default_config():
+    #  labelme 
+    config_file = osp.join(here, "default_config.yaml")
+    with open(config_file, encoding='utf-8') as f:
+        config = yaml.safe_load(f)
+
+    # save default config to ~/.labelmerc
+    user_config_file = osp.join(osp.expanduser("~"), ".labelmerc")
+    if not osp.exists(user_config_file):
+        try:
+            shutil.copy(config_file, user_config_file)
+        except Exception:
+            logger.warn("Failed to save config: {}".format(user_config_file))
+
+    return config
+
+
+def validate_config_item(key, value):
+    if key == "validate_label" and value not in [None, "exact"]:
+        raise ValueError(
+            "Unexpected value for config key 'validate_label': {}".format(
+                value
+            )
+        )
+    if key == "shape_color" and value not in [None, "auto", "manual"]:
+        raise ValueError(
+            "Unexpected value for config key 'shape_color': {}".format(value)
+        )
+    if key == "labels" and value is not None and len(value) != len(set(value)):
+        raise ValueError(
+            "Duplicates are detected for config key 'labels': {}".format(value)
+        )
+
+
+def get_config(config_file_or_yaml=None, config_from_args=None):
+    # 1. default config
+    config = get_default_config()
+
+    # 2. specified as file or yaml
+    if config_file_or_yaml is not None:
+        config_from_yaml = yaml.safe_load(config_file_or_yaml)
+        if not isinstance(config_from_yaml, dict):
+            with open(config_from_yaml, encoding='utf-8') as f:
+                logger.info(
+                    "Loading config file from: {}".format(config_from_yaml)
+                )
+                config_from_yaml = yaml.safe_load(f)
+        update_dict(
+            config, config_from_yaml, validate_item=validate_config_item
+        )
+
+    # 3. command line argument or specified config file
+    if config_from_args is not None:
+        update_dict(
+            config, config_from_args, validate_item=validate_config_item
+        )
+
+    return config

labelme/config/default_config.yaml

+auto_save: true
+display_label_popup: true
+store_data: true
+keep_prev: false
+keep_prev_scale: false
+keep_prev_brightness: false
+keep_prev_contrast: false
+logger_level: info
+
+flags: null
+label_flags: null
+labels: null
+file_search: null
+sort_labels: true
+validate_label: null
+
+default_shape_color: [0, 255, 0]
+shape_color: auto  # null, 'auto', 'manual'
+shift_auto_shape_color: 0
+label_colors: null
+
+shape:
+  # drawing
+  line_color: [0, 255, 0, 128]
+  fill_color: [0, 255, 0, 0]  # transparent
+  vertex_fill_color: [0, 255, 0, 255]
+  # selecting / hovering
+  select_line_color: [255, 255, 255, 255]
+  select_fill_color: [0, 255, 0, 155]
+  hvertex_fill_color: [255, 255, 255, 255]
+  point_size: 8
+
+# main
+flag_dock:
+  show: true
+  closable: true
+  movable: true
+  floatable: true
+label_dock:
+  show: true
+  closable: true
+  movable: true
+  floatable: true
+shape_dock:
+  show: true
+  closable: true
+  movable: true
+  floatable: true
+file_dock:
+  show: true
+  closable: true
+  movable: true
+  floatable: true
+
+# label_dialog
+show_label_text_field: true
+label_completion: startswith
+fit_to_content:
+  column: true
+  row: false
+
+# canvas
+epsilon: 10.0
+canvas:
+  # None: do nothing
+  # close: close polygon
+  double_click: close
+  # The max number of edits we can undo
+  num_backups: 10
+  # show crosshair
+  crosshair:
+    polygon: false
+    rectangle: true
+    circle: false
+    line: false
+    point: false
+    linestrip: false
+
+shortcuts:
+  close: Ctrl+W
+  open: Ctrl+O
+  open_dir: Ctrl+U
+  quit: Ctrl+Q
+  save: Ctrl+S
+  save_as: Ctrl+Shift+S
+  save_to: null
+  delete_file: Ctrl+Delete
+
+  open_next: [D, Ctrl+Shift+D]
+  open_prev: [A, Ctrl+Shift+A]
+
+  zoom_in: [Ctrl++, Ctrl+=]
+  zoom_out: Ctrl+-
+  zoom_to_original: Ctrl+0
+  fit_window: Ctrl+F
+  fit_width: Ctrl+Shift+F
+
+  create_polygon: Ctrl+N
+  create_rectangle: Ctrl+R
+  create_circle: null
+  create_line: null
+  create_point: null
+  create_linestrip: null
+  edit_polygon: Ctrl+J
+  delete_polygon: Delete
+  duplicate_polygon: Ctrl+D
+  copy_polygon: Ctrl+C
+  paste_polygon: Ctrl+V
+  undo: Ctrl+Z
+  undo_last_point: Ctrl+Z
+  add_point_to_edge: Ctrl+Shift+P
+  edit_label: Ctrl+E
+  toggle_keep_prev_mode: Ctrl+P
+  remove_selected_point: [Meta+H, Backspace]