Erich Blume
cabd0bc9cf
## Summary - Synced driveway_entrance zone coordinates from live Frigate config (adjusted mask boundaries) - Added `inertia: 3` and `loitering_time: 0` to driveway_entrance zone - Expanded review alerts to require either `driveway_entrance` or `driveway` zone (was entrance only) - Updated frigate-notify config to allow alerts from both `driveway_entrance` and `driveway` zones ## Deployment and Testing - [ ] Merge and sync frigate ArgoCD app on ringtail - [ ] Sync frigate-notify (restart pod to pick up ConfigMap change) - [ ] Verify alerts fire for person/car in driveway zone Reviewed-on: https://forge.ops.eblu.me/eblume/blumeops/pulls/219
90 lines
2.3 KiB
YAML
90 lines
2.3 KiB
YAML
apiVersion: v1
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kind: ConfigMap
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metadata:
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name: frigate-config
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namespace: frigate
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data:
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config.yml: |
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mqtt:
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host: mosquitto.mqtt.svc.cluster.local
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port: 1883
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go2rtc:
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streams:
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# GableCam IP is reserved in UX7 DHCP config
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gablecam:
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- "rtsp://{FRIGATE_CAMERA_USER}:{FRIGATE_CAMERA_PASSWORD}@192.168.1.159:554/h264Preview_01_main"
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gablecam_sub:
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- "rtsp://{FRIGATE_CAMERA_USER}:{FRIGATE_CAMERA_PASSWORD}@192.168.1.159:554/h264Preview_01_sub"
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cameras:
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gablecam:
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enabled: true
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ffmpeg:
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inputs:
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- path: rtsp://127.0.0.1:8554/gablecam
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input_args: preset-rtsp-restream
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roles: [record]
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- path: rtsp://127.0.0.1:8554/gablecam_sub
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input_args: preset-rtsp-restream
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roles: [detect]
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detect:
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enabled: true
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stationary:
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max_frames:
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default: 1500
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motion:
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mask:
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- 0.401,0.026,0.4,0.078,0.587,0.072,0.585,0.02
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- 0.881,0.422,0.789,0.245,0.595,0.054,0.531,0,0.634,0,0.824,0.192,0.892,0.307
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zones:
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driveway_entrance:
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coordinates: 0.841,0.37,0.735,0.344,0.681,0.2,0.78,0.259
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objects: [car, dog, person]
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inertia: 3
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loitering_time: 0
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driveway:
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coordinates: 0.767,0.25,0.58,0.2,0.218,0.25,0.128,0.296,0.003,0.565,0.001,0.992,0.826,0.992,0.897,0.665,0.869,0.608,0.788,0.354
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review:
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alerts:
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labels: [person, car]
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required_zones:
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- driveway_entrance
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- driveway
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detections:
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required_zones:
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- driveway
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- driveway_entrance
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objects:
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track: [person, car, dog, cat, bird]
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detectors:
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onnx:
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type: onnx
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model:
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model_type: yolonas
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width: 320
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height: 320
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input_tensor: nchw
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input_dtype: int
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path: /media/frigate/models/yolo_nas_s.onnx
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labelmap_path: /labelmap/coco-80.txt
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record:
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enabled: true
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continuous:
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days: 3
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alerts:
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retain:
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days: 30
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mode: active_objects
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detections:
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retain:
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days: 14
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mode: motion
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snapshots:
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enabled: true
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retain:
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default: 14
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