From 870d60201967b041ee1fe0a75cb9e2506e8bb115 Mon Sep 17 00:00:00 2001 From: Erich Blume Date: Thu, 19 Feb 2026 13:28:35 -0800 Subject: [PATCH] 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 --- argocd/manifests/frigate/configmap.yaml | 9 --------- 1 file changed, 9 deletions(-) diff --git a/argocd/manifests/frigate/configmap.yaml b/argocd/manifests/frigate/configmap.yaml index df7c70c..b0d83ea 100644 --- a/argocd/manifests/frigate/configmap.yaml +++ b/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: