Fix logger initialization and add pytlsd dependency

detectors.py

@@ -14,14 +14,12 @@ from ultralytics import YOLO
 from PIL import Image
 import matplotlib.pyplot as plt
 from storage import StorageInterface
+import logging
 
-# Base classes and utilities
-from base import BaseDetector
-from detection_schema import DetectionContext
-from utils import DebugHandler
-from config import SymbolConfig, TagConfig, LineConfig, PointConfig, JunctionConfig
+# Configure logging first
+logger = logging.getLogger(__name__)
 
-# Try to import DeepLSD, fall back to basic line detection if not available
+# Then try imports that might fail
 try:
     from deeplsd.models.deeplsd_inference import DeepLSD
     DEEPLSD_AVAILABLE = True
@@ -29,6 +27,12 @@ except ImportError as e:
     logger.warning(f"DeepLSD import failed: {e}. Falling back to basic line detection.")
     DEEPLSD_AVAILABLE = False
 
+# Base classes and utilities
+from base import BaseDetector
+from detection_schema import DetectionContext
+from utils import DebugHandler
+from config import SymbolConfig, TagConfig, LineConfig, PointConfig, JunctionConfig
+
 # Detection schema: dataclasses for different objects
 from detection_schema import (
     BBox,
@@ -48,9 +52,6 @@ from detection_schema import (
 from skimage.morphology import skeletonize
 from skimage.measure import label
 
-# Configure logging
-logger = logging.getLogger(__name__)
-
 class Detector(ABC):
     """Base class for all detectors"""
     

requirements.txt

@@ -17,6 +17,7 @@ torchvision>=0.15.0
 ultralytics>=8.0.0
 git+https://github.com/cvg/DeepLSD.git  # Install DeepLSD from GitHub
 omegaconf>=2.3.0  # Required by DeepLSD
+pytlsd  # Required by DeepLSD
 
 # Graph Processing
 networkx>=2.6.0