Claude
273d6191bd
vm-configs/: - 100-frigate.conf.example: Frigate VM with Quadro P2200 #1, Coral USB, bays 1-8 - 101.conf.example: GPU VM with Quadro P2200 #2, bays 9-10 - 102.conf.example: Utility VM, bays 11-12 frigate/: - docker-compose.yml: nvidia runtime + Coral USB passthrough, healthcheck - config.yml: NVDEC hwaccel (preset-nvidia-h264), Coral USB detector, motion-based recording retain, per-object score thresholds https://claude.ai/code/session_01TxTSnxDjgEVuNztdsWQjMD
95 lines
3.8 KiB
YAML
95 lines
3.8 KiB
YAML
# Frigate NVR configuration — VM 100 (Quadro P2200 + Google Coral USB)
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# Docs: https://docs.frigate.video/configuration/
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mqtt:
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enabled: false # set to true and fill in host/port if you use Home Assistant or MQTT
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# ── Object detection ─────────────────────────────────────────────────────────
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# Coral USB handles all inference; CPU usage for detection is near zero.
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detectors:
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coral:
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type: edgetpu
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device: usb
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# ── FFmpeg hardware decode (Quadro P2200 NVDEC) ───────────────────────────────
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# These presets tell ffmpeg to use the GPU for H.264/H.265 decode.
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# CPU usage per stream drops from ~15–30% to ~1–2%.
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ffmpeg:
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hwaccel_args: preset-nvidia-h264 # default for H.264 cameras
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# Per-camera override available if some cameras use H.265 — see cameras section below
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# ── Global detect settings ───────────────────────────────────────────────────
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detect:
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enabled: true
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width: 1280
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height: 720
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fps: 5 # Coral processes 5 fps for detection; recording captures full stream
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# ── Recording ────────────────────────────────────────────────────────────────
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record:
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enabled: true
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retain:
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days: 7
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mode: motion # only keep segments with motion (saves disk)
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events:
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retain:
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default: 14 # keep event clips for 14 days regardless of motion-only rule
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mode: active_objects
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# ── Snapshots ────────────────────────────────────────────────────────────────
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snapshots:
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enabled: true
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timestamp: true
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bounding_box: true
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retain:
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default: 14
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# ── Object filter defaults ────────────────────────────────────────────────────
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objects:
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track:
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- person
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- car
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- dog
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- cat
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filters:
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person:
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min_area: 1500 # ignore very small detections (reduces false positives)
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min_score: 0.6
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threshold: 0.7
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# ── Cameras ──────────────────────────────────────────────────────────────────
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# Add one entry per camera. Duplicate and adjust as needed.
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# Use {FRIGATE_RTSP_PASSWORD} to reference the env var from docker-compose.yml.
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cameras:
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front_door:
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ffmpeg:
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inputs:
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- path: rtsp://admin:{FRIGATE_RTSP_PASSWORD}@192.168.1.XXX/stream1
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roles:
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- detect
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- record
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# Uncomment to override hwaccel for H.265 cameras:
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# ffmpeg:
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# hwaccel_args: preset-nvidia-h265
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# back_yard:
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# ffmpeg:
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# inputs:
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# - path: rtsp://admin:{FRIGATE_RTSP_PASSWORD}@192.168.1.XXX/stream1
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# roles:
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# - detect
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# - record
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# ── Birdseye view (optional multi-camera overview) ────────────────────────────
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birdseye:
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enabled: true
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mode: motion # only show cameras with recent motion
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# ── Telemetry / stats ─────────────────────────────────────────────────────────
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telemetry:
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stats:
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amd_gpu_stats: false
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intel_gpu_stats: false
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network_bandwidth: false
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