update frigate config

lxc2/frigate/config/frigate.yml

@@ -4,20 +4,20 @@ mqtt:
 go2rtc:
   streams:
     camera_1:
-      - "ffmpeg:rtsp://<USER>:<PASS>@<IP_ADDRESS>:554/stream1#video=copy#audio=copy#audio=aac"
+      - "ffmpeg:rtsp://{TAPO_USER}:{TAPO_PASS}@192.168.19.2:554/stream1#video=copy#audio=copy#audio=aac"
     camera_1_sub:
-      - rtsp://<USER>:<PASS>@<IP_ADDRESS>:554/stream2
+      - rtsp://{TAPO_USER}:{TAPO_PASS}@192.168.19.2:554/stream2
     camera_2:
-      - "ffmpeg:rtsp://<USER>:<PASS>@<IP_ADDRESS_2>:554/stream1#video=copy#audio=copy#audio=aac"
+      - "ffmpeg:rtsp://{TAPO_USER}:{TAPO_PASS}@192.168.19.4:554/stream1#video=copy#audio=copy#audio=aac"
     camera_2_sub:
-      - rtsp://<USER>:<PASS>@<IP_ADDRESS_2>:554/stream2
+      - rtsp://{TAPO_USER}:{TAPO_PASS}@192.168.19.4:554/stream2
     camera_3:
-      - "ffmpeg:rtsp://<USER>:<PASS>@<IP_ADDRESS_3>:554/stream1#video=copy#audio=copy#audio=aac"
+      - "ffmpeg:rtsp://{TAPO_USER}:{TAPO_PASS}@192.168.19.3:554/stream1#video=copy#audio=copy#audio=aac"
     camera_3_sub:
-      - rtsp://<USER>:<PASS>@<IP_ADDRESS_3>:554/stream2
+      - rtsp://{TAPO_USER}:{TAPO_PASS}@192.168.19.3:554/stream2
 
 cameras:
-  camera_1: # Change name to match your location (e.g., driveway)
+  EntryCam: # Change name to match your location (e.g., driveway)
     ffmpeg:
       inputs:
         - path: rtsp://127.0.0.1:8554/camera_1
@@ -31,7 +31,7 @@ cameras:
       height: 360
       fps: 5
 
-  camera_2:
+  GarageFront:
     ffmpeg:
       inputs:
         - path: rtsp://127.0.0.1:8554/camera_2
@@ -45,7 +45,7 @@ cameras:
       height: 360
       fps: 5
 
-  camera_3:
+  GarageRear:
     ffmpeg:
       inputs:
         - path: rtsp://127.0.0.1:8554/camera_3
@@ -69,9 +69,14 @@ record:
 ffmpeg:
   hwaccel_args: preset-nvidia
 
-# If you want to use the GPU for object detection (requires Frigate + TensorRT)
-# Note: This is separate from decoding and requires the tensorrt detector image
 detectors:
-  ov:
-    type: openvino
-    device: GPU # This uses Intel iGPU if available, use 'tensorrt' for Nvidia
+  tensorrt:
+    type: tensorrt
+    device: 0 # Matches your first GPU (/dev/nvidia0)
+
+model:
+  path: /config/model_cache/tensorrt/yolov8s.trt # Frigate will build this
+  width: 640
+  height: 640
+  input_tensor: nchw
+  input_pixel_format: rgb

lxc2/frigate/frigate.yml

@@ -2,6 +2,8 @@ services:
   frigate:
     image: ghcr.io/blakeblackshear/frigate:stable-tensorrt 
     privileged: true
+    env_file:
+      - /docker/frigate/creds.env
     devices:
       - /dev/nvidia0:/dev/nvidia0
       - /dev/nvidiactl:/dev/nvidiactl