Add tip to docs

docs/docs/configuration/object_detectors.md

@@ -555,6 +555,17 @@ $ docker exec -it frigate /bin/bash -c '(unset HSA_OVERRIDE_GFX_VERSION && /opt/
 
 ### ROCm Supported Models
 
+:::tip
+
+The AMD GPU kernel is known problematic especially when converting models to mxr format. The recommended approach is:
+
+1. Disable object detection in the config.
+2. Startup Frigate with the onnx detector configured, the main object detection model will be converted to mxr format and cached in the config directory.
+3. Once this is finished as indicated by the logs, enable object detection in the UI and confirm that it is working correctly.
+4. Re-enable object detection in the config.
+
+:::
+
 See [ONNX supported models](#supported-models) for supported models, there are some caveats:
 
 - D-FINE models are not supported

frigate/detectors/detection_runners.py

@@ -456,10 +456,10 @@ def get_optimized_runner(
             options[0]["device_id"],
         )
 
-    if providers[
-        0
-    ] == "MIGraphXExecutionProvider" and ONNXModelRunner.is_migraphx_complex_model(
-        model_type
+    if (
+        providers
+        and providers[0] == "MIGraphXExecutionProvider"
+        and ONNXModelRunner.is_migraphx_complex_model(model_type)
     ):
         # Don't use MIGraphX for models that are not supported
         providers.pop(0)