Add driveway zone, switch model to YOLOv9-m for better detection

- Add driveway zone from UI config with review detection filtering
- Upgrade model from YOLOv9-t (7.7M params) to YOLOv9-m (51M params)
  for improved nighttime/low-light detection capability
- YOLOv9-t produced max 5.7% confidence on nighttime IR footage

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

argocd/manifests/frigate/configmap.yaml

@@ -41,11 +41,17 @@ data:
           driveway_entrance:
             coordinates: 0.85,0.366,0.735,0.344,0.681,0.2,0.795,0.255
             objects: [car, dog, person]
+          driveway:
+            coordinates: 0.767,0.25,0.58,0.2,0.218,0.25,0.128,0.296,0.003,0.565,0.001,0.992,0.826,0.992,0.897,0.665,0.869,0.608,0.788,0.354
         review:
           alerts:
             labels: [person, car]
             required_zones:
               - driveway_entrance
+          detections:
+            required_zones:
+              - driveway
+              - driveway_entrance
         objects:
           track: [person, car, dog, cat, bird]
 
@@ -60,7 +66,7 @@ data:
       height: 320
       input_tensor: nchw
       input_dtype: float
-      path: /media/frigate/models/yolov9t.onnx
+      path: /media/frigate/models/yolov9m.onnx
       labelmap_path: /labelmap/coco-80.txt
 
     record: