move

.gitignore

@@ -77,8 +77,6 @@ scans/
 **/queue/
 # Node-Red dependencies
 **/node_modules/
-# Frigate database/clips
-**/frigate/
 # Home Assistant State Registry (Contains secrets)
 **/.storage/
 # Text-to-speech cache

lxc2/frigate/config/frigate.yml

@@ -0,0 +1,77 @@
+mqtt:
+  enabled: False # Set to True and add host/user/pass if you use Home Assistant
+
+go2rtc:
+  streams:
+    camera_1:
+      - "ffmpeg:rtsp://<USER>:<PASS>@<IP_ADDRESS>:554/stream1#video=copy#audio=copy#audio=aac"
+    camera_1_sub:
+      - rtsp://<USER>:<PASS>@<IP_ADDRESS>:554/stream2
+    camera_2:
+      - "ffmpeg:rtsp://<USER>:<PASS>@<IP_ADDRESS_2>:554/stream1#video=copy#audio=copy#audio=aac"
+    camera_2_sub:
+      - rtsp://<USER>:<PASS>@<IP_ADDRESS_2>:554/stream2
+    camera_3:
+      - "ffmpeg:rtsp://<USER>:<PASS>@<IP_ADDRESS_3>:554/stream1#video=copy#audio=copy#audio=aac"
+    camera_3_sub:
+      - rtsp://<USER>:<PASS>@<IP_ADDRESS_3>:554/stream2
+
+cameras:
+  camera_1: # Change name to match your location (e.g., driveway)
+    ffmpeg:
+      inputs:
+        - path: rtsp://127.0.0.1:8554/camera_1
+          roles:
+            - record
+        - path: rtsp://127.0.0.1:8554/camera_1_sub
+          roles:
+            - detect
+    detect:
+      width: 640 # stream2 is typically 640x360
+      height: 360
+      fps: 5
+
+  camera_2:
+    ffmpeg:
+      inputs:
+        - path: rtsp://127.0.0.1:8554/camera_2
+          roles:
+            - record
+        - path: rtsp://127.0.0.1:8554/camera_2_sub
+          roles:
+            - detect
+    detect:
+      width: 640
+      height: 360
+      fps: 5
+
+  camera_3:
+    ffmpeg:
+      inputs:
+        - path: rtsp://127.0.0.1:8554/camera_3
+          roles:
+            - record
+        - path: rtsp://127.0.0.1:8554/camera_3_sub
+          roles:
+            - detect
+    detect:
+      width: 640
+      height: 360
+      fps: 5
+
+# Optional: Global recording settings
+record:
+  enabled: True
+  retain:
+    days: 7
+    mode: all
+
+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

lxc2/frigate/frigate.yml

@@ -1,6 +1,12 @@
 services:
   frigate:
-    image: ghcr.io/blakeblackshear/frigate:stable
+    image: ghcr.io/blakeblackshear/frigate:stable-tensorrt 
+    privileged: true
+    devices:
+      - /dev/nvidia0:/dev/nvidia0
+      - /dev/nvidiactl:/dev/nvidiactl
+      - /dev/nvidia-uvm:/dev/nvidia-uvm
+      - /dev/nvidia-uvm-tools:/dev/nvidia-uvm-tools
     container_name: frigate
     restart: unless-stopped
     privileged: true
@@ -16,7 +22,7 @@ services:
     runtime: nvidia
     environment:
       - NVIDIA_VISIBLE_DEVICES=all
-      - NVIDIA_DRIVER_CAPABILITIES=all
+      - NVIDIA_DRIVER_CAPABILITIES=all,video,compute
       - FRIGATE_SQLITE_PATH=/config/frigate.db
       - FRIGATE_SQLITE_JOURNAL_MODE=DELETE
       - PUID=1000
@@ -24,3 +30,12 @@ services:
     cpus: "2.0"
     mem_limit: "6144m"
     mem_reservation: "2048m"
+
+services:
+  frigate:
+    container_name: frigate
+    # Use the TensorRT image to use your 3050 for detection as well as decoding
+
+    environment:
+      - NVIDIA_VISIBLE_DEVICES=all
+    # ... rest of your config (volumes, ports)