docs/docs/frigate/installation.md

@@ -3,7 +3,7 @@ id: installation
 title: Installation
 ---
 
-Frigate is a Docker container that can be run on any Docker host including as a [Home Assistant App](https://www.home-assistant.io/apps/). Note that the Home Assistant App is **not** the same thing as the integration. The [integration](/integrations/home-assistant) is required to integrate Frigate into Home Assistant, whether you are running Frigate as a standalone Docker container or as a Home Assistant App.
+Frigate is a Docker container that can be run on any Docker host including as a [Home Assistant App](https://www.home-assistant.io/addons/). Note that the Home Assistant App is **not** the same thing as the integration. The [integration](/integrations/home-assistant) is required to integrate Frigate into Home Assistant, whether you are running Frigate as a standalone Docker container or as a Home Assistant App.
 
 :::tip
 

frigate/detectors/detection_runners.py

@@ -529,17 +529,6 @@ class RKNNModelRunner(BaseModelRunner):
                             # Transpose from NCHW to NHWC
                             pixel_data = np.transpose(pixel_data, (0, 2, 3, 1))
                         rknn_inputs.append(pixel_data)
-                    elif name == "data":
-                        # ArcFace: undo Python normalisation to uint8 [0,255]
-                        # RKNN runtime applies mean=127.5/std=127.5 internally before first layer
-                        face_data = inputs[name]
-                        if len(face_data.shape) == 4 and face_data.shape[1] == 3:
-                            # Transpose from NCHW to NHWC
-                            face_data = np.transpose(face_data, (0, 2, 3, 1))
-                        face_data = (
-                            ((face_data + 1.0) * 127.5).clip(0, 255).astype(np.uint8)
-                        )
-                        rknn_inputs.append(face_data)
                     else:
                         rknn_inputs.append(inputs[name])