feat(app): 集成loguru日志系统并优化错误处理

- 在app.py中引入loguru并配置日志轮转、异步输出等功能
- 添加全局日志初始化函数和程序启动/退出日志记录
- 将所有print语句替换为logger.info/error/debug/warning方法
- 在data_source.py中添加模型加载和视频打开的日志记录
- 在各个处理器中集成日志记录器实例并记录处理状态
- 修改处理器模块导入路径以符合相对导入规范
- 在requirements.txt中添加loguru依赖包
- 统一异常处理的日志记录方式，便于调试和监控

pipeline/handler/DrawDirectionProcessor.py

@@ -2,8 +2,8 @@ import cv2
 import numpy as np
 import math
 from collections import deque
-from yolo_gs.pipeline.base_processor import BaseProcessor
-from yolo_gs.pipeline.pipeline_data import PipelineData
+from ..base_processor import BaseProcessor
+from ..pipeline_data import PipelineData
 
 
 class DrawDirectionProcessor(BaseProcessor):
@@ -96,7 +96,7 @@ class DrawDirectionProcessor(BaseProcessor):
                 self._draw_track_info(vis, track_id, (center_x, center_y))
 
             except Exception as e:
-                print(f"Error processing box: {e}")
+                self.logger.error(f"Error processing box: {e}")
                 continue
 
         # 清理长时间未出现的track

pipeline/handler/DrawGraffitiProcessor.py

@@ -1,8 +1,8 @@
 import cv2
 import numpy as np
 import math
-from yolo_gs.pipeline.base_processor import BaseProcessor
-from yolo_gs.pipeline.pipeline_data import PipelineData
+from ..base_processor import BaseProcessor
+from ..pipeline_data import PipelineData
 
 
 class DrawGraffitiProcessor(BaseProcessor):

pipeline/handler/DrawObjectBoxProcessor.py

@@ -2,8 +2,8 @@ import cv2
 import numpy as np
 from dataclasses import dataclass, field
 from typing import List, Optional, Set
-from yolo_gs.pipeline.base_processor import BaseProcessor
-from yolo_gs.pipeline.pipeline_data import PipelineData
+from ..base_processor import BaseProcessor
+from ..pipeline_data import PipelineData
 
 
 @dataclass

pipeline/handler/GraffitiProcessor.py

@@ -2,8 +2,8 @@ import numpy as np
 import cv2
 import math
 from collections import deque, defaultdict
-from yolo_gs.pipeline.base_processor import BaseProcessor
-from yolo_gs.pipeline.pipeline_data import PipelineData
+from ..base_processor import BaseProcessor
+from ..pipeline_data import PipelineData
 
 
 class GraffitiProcessor(BaseProcessor):

pipeline/handler/ResultLogger.py

@@ -5,6 +5,6 @@ import numpy as np
 class ResultLogger(BaseProcessor):
     """示例处理器：打印检测结果日志"""
     def process(self, data: PipelineData) -> PipelineData:
-        print(f"\n【{self.name}】帧{data.frame_idx} - 检测到目标数: {len(data.current_result.boxes)}")
-        print(f"缓存帧数: {len(data.result_cache)}")
+        self.logger.info(f"【{self.name}】帧{data.frame_idx} - 检测到目标数: {len(data.current_result.boxes)}")
+        self.logger.info(f"缓存帧数: {len(data.result_cache)}")
         return data

pipeline/handler/RetrogradeProcessor.py

@@ -1,7 +1,7 @@
 import cv2
 import numpy as np
-from yolo_gs.pipeline.base_processor import BaseProcessor
-from yolo_gs.pipeline.pipeline_data import PipelineData
+from ..base_processor import BaseProcessor
+from ..pipeline_data import PipelineData
 import math
 
 
@@ -115,7 +115,7 @@ class RetrogradeProcessor(BaseProcessor):
 
         # 输出逆行信息
         for track_id, event in events_all0.items():
-            print(f"【逆行检测器】帧{self.frame_idx} - 检测到事件：{event} - 轨迹ID: {track_id}")
+            self.logger.info(f"【逆行检测器】帧{self.frame_idx} - 检测到事件：{event} - 轨迹ID: {track_id}")
 
         # 更新事件历史
         for track_id, event in frame_events.items():

pipeline/handler/graffiti_visualizer.py

@@ -1,8 +1,8 @@
 import numpy as np
 import cv2
 import math
-from yolo_gs.pipeline.base_processor import BaseProcessor
-from yolo_gs.pipeline.pipeline_data import PipelineData
+from ..base_processor import BaseProcessor
+from ..pipeline_data import PipelineData
 
 
 class GraffitiVisualizer(BaseProcessor):