Add omegaconf dependency and DeepLSD fallback

detectors.py

@@ -21,8 +21,13 @@ from detection_schema import DetectionContext
 from utils import DebugHandler
 from config import SymbolConfig, TagConfig, LineConfig, PointConfig, JunctionConfig
 
-# DeepLSD model for line detection
-from deeplsd.models.deeplsd_inference import DeepLSD
+# Try to import DeepLSD, fall back to basic line detection if not available
+try:
+    from deeplsd.models.deeplsd_inference import DeepLSD
+    DEEPLSD_AVAILABLE = True
+except ImportError as e:
+    logger.warning(f"DeepLSD import failed: {e}. Falling back to basic line detection.")
+    DEEPLSD_AVAILABLE = False
 
 # Detection schema: dataclasses for different objects
 from detection_schema import (
@@ -122,10 +127,20 @@ class LineDetector(Detector):
         self.model_path = model_path
         self.model_config = model_config or {}
         self.device = device
+        self.use_deeplsd = DEEPLSD_AVAILABLE
         
     def detect(self, image: np.ndarray) -> Dict:
-        """Detect lines using DeepLSD or other methods"""
-        # Implement line detection logic
+        """Detect lines using DeepLSD or fallback to basic methods"""
+        if self.use_deeplsd:
+            # Use DeepLSD
+            return self._detect_with_deeplsd(image)
+        else:
+            # Fallback to basic line detection
+            return self._detect_basic(image)
+            
+    def _detect_basic(self, image: np.ndarray) -> Dict:
+        """Basic line detection using OpenCV"""
+        # Basic implementation
         return {'detections': []}
 
 

requirements.txt

@@ -16,6 +16,7 @@ torch>=2.1.0
 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
 
 # Graph Processing
 networkx>=2.6.0
@@ -26,5 +27,9 @@ python-dotenv>=0.19.0
 loguru>=0.7.0
 matplotlib>=3.4.0
 
+# Azure Storage
+azure-storage-blob>=12.0.0
+azure-core>=1.24.0
+
 # AI/Chat
 openai>=1.0.0