Use Frigate default model instead of custom YOLOv9m

The YOLOv9m ONNX model has ops not fully partitionable to CUDA EP,
causing CUDA graph capture to fail on the -tensorrt image. Use the
default model that ships with the image and is tested for GPU inference.

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

argocd/manifests/frigate/configmap.yaml

@@ -59,15 +59,6 @@ data:
       onnx:
         type: onnx
 
-    model:
-      model_type: yolo-generic
-      width: 320
-      height: 320
-      input_tensor: nchw
-      input_dtype: float
-      path: /media/frigate/models/yolov9m.onnx
-      labelmap_path: /labelmap/coco-80.txt
-
     record:
       enabled: true
       continuous: