feat: eye filter flag + QA fixes (Gemma4 prompt, YOLO boundary, PaliGemma score, GDINO skip)

scripts/qa/judges/yolo.py

@@ -1,5 +1,5 @@
 """YOLO judge: object detection matching against expected objects"""
-import cv2, numpy as np
+import cv2, numpy as np, re
 from ultralytics import YOLO
 
 MODEL_PATH = "/Users/accusys/momentry_core_0.1/yolov8s.mlpackage"
@@ -30,8 +30,8 @@ def score(frames, prompt):
     load()
     prompt_lower = prompt.lower()
     
-    # Extract expected objects from prompt: check each COCO class
-    expected = [c for c in COCO if c in prompt_lower]
+    # Extract expected objects from prompt: check each COCO class (word boundary)
+    expected = [c for c in COCO if re.search(r'\b' + re.escape(c) + r'\b', prompt_lower)]
     if not expected:
         expected = ["person"]  # default fallback