[Config Support]: Configuration is very suboptimal, and heavily relies on CPU #19783

Dinth · 2025-08-26T20:54:09Z

Dinth
Aug 26, 2025

Describe the problem you are having

Hiya. The hardware im running Frigate on is R720 poweredge with 2x Xeon, 260GB of RAM and Nvidia RTX 5000.
Over the years, my Frigate config survived many different additions and changes of hardware, many sessions of tinkering with it, and to be honest, i no longer even remember why i have put some of the things in the past. Anyhow, it works very suboptimally. It still uses CPU heavily, and the cameras can be temperamental (usually everything works tip top after reboot, but after a few days, it can lose main streams for some of the cameras, things arent getting recorded, etc). On the top of that, the object detection is quite bad - gives a lot of false positives. Around Frigate 0.14.0 i have tried TensorRT with YOLO model and in terms of false positibes it was even worse. Also i cannot force WebRTC for the Reolink doorbell to work.
I would appreciate if someone with deeper understanding of Frigate could review it and advice how to improve/optimise it.
Doorbell is Reolink Doorbell 2K PoE, and then the majority of the cameras are Dahuas (different models) configured similarly to this one:

(exceptions are baby room and kitchen cameras)

Version

0.16.0

Frigate config file

tls:
  enabled: false
mqtt:
  host: 10.10.1.11
  port: 1883
  topic_prefix: frigate
  client_id: frigate
  user: wickhay-mqtt
  password: wickhay-mqtt
detectors:
  detector_name:
    type: edgetpu
    device: usb
#  onnx_0:
#    type: onnx
#  onnx_1:
#    type: onnx
logger:
  default: info
database:
  path: /media/frigate/frigate.db
record:
  enabled: true
  retain:
    days: 5
    mode: all
  alerts:
    retain:
      days: 21
  detections:
    retain:
      days: 21
detect:
  enabled: true
  width: 1280
  height: 720
  stationary:
    interval: 50
    threshold: 500
    max_frames:
      objects:
        person: 1000
snapshots:
  enabled: true
  bounding_box: true
motion:
  threshold: 50
  contour_area: 15
  lightning_threshold: 0.7
ffmpeg:
  hwaccel_args: preset-nvidia
  global_args: -hide_banner -loglevel warning -threads 8
  output_args:
    record: preset-record-generic-audio-aac
objects:
  track:
    - person
    - cat
    - dog
    - car
    - fox
go2rtc:
  streams:
    reolink_doorbell:
      - ffmpeg:https://10.10.25.12/flv?port=1935&app=bcs&stream=channel0_main.bcs&user=xxx&password=xxx#video=copy#audio=copy#audio=opus
      - rtsp://10.10.25.12/Preview_01_sub
    reolink_doorbell_sub:
      - ffmpeg:https://10.10.25.12/flv?port=1935&app=bcs&stream=channel0_ext.bcs&user=xxx&password=xxx
    baby_room:
      - rtsp://xxx:xxx@10.10.30.6:554/cam/realmonitor?channel=1&subtype=0
    backyard_left:
      - >-
        rtsp://xxx:xxx@10.10.30.11:554/cam/realmonitor?channel=1&subtype=0
      - ffmpeg:backyard_left#video=copy#hardware
    front_garden:
      - >-
        rtsp://xxx:xxx@10.10.30.12:554/cam/realmonitor?channel=1&subtype=0&unicast=true&proto=Onvif
      - ffmpeg:front_garden#video=copy#hardware
    front_garden2:
      - >-
        rtsp://xxx:xxx@10.10.30.13:554/cam/realmonitor?channel=1&subtype=0&unicast=true&proto=Onvif
      - ffmpeg:front_garden2#video=copy#hardware
    living_room:
      - >-
        rtsp://xxx:xxx@10.10.30.3:554/cam/realmonitor?channel=1&subtype=0&unicast=true&proto=Onvif
      - ffmpeg:living_room#video=copy#audio=copy#audio=aac#hardware
    living_room2:
      - >-
        rtsp://xxx:xxx@10.10.30.4:554/cam/realmonitor?channel=1&subtype=0&unicast=true&proto=Onvif
      - ffmpeg:living_room2#video=copy#audio=copy#audio=aac#audio=aac#hardware
    kitchen:
      - rtsp://xxx:xxx@10.10.30.16:554/h264Preview_01_main
    upper_landing:
      - >-
        rtsp://xxx:xxx@10.10.30.2:554/cam/realmonitor?channel=1&subtype=0&unicast=true&proto=Onvif
      - ffmpeg:upper_landing#video=copy#audio=copy#audio=aac#hardware
    loft:
      - >-
        rtsp://xxx:xxx@10.10.30.1:554/cam/realmonitor?channel=1&subtype=0&unicast=true&proto=Onvif
      - ffmpeg:loft#video=copy#hardware
  webrtc:
    candidates:
      - 10.10.1.13:8555
      - stun:8555
cameras:
  reolink_doorbell:
    enabled: true
    objects:
      track:
        - person
    ffmpeg:
      hwaccel_args: preset-nvidia-h264
      inputs:
        - path: rtsp://localhost:8554/reolink_doorbell
          roles:
            - record
          input_args: preset-rtsp-restream
        - path: rtsp://localhost:8554/reolink_doorbell_sub
          roles:
            - detect
          input_args: preset-rtsp-restream
    record:
      enabled: true
      retain:
        days: 3
        mode: all
      alerts:
        retain:
          days: 21
      detections:
        retain:
          days: 21
    detect:
      enabled: true
      width: 896
      height: 672
    motion:
      mask: 0.324,0.001,0.31,0.045,0.71,0.218,0.859,0.04,0.83,0
  baby_room:
    enabled: true
    ffmpeg:
      hwaccel_args: preset-nvidia-h264
      inputs:
        - path: rtsp://localhost:8554/baby_room
          input_args: preset-rtsp-restream
          roles:
            - record
        - path: >-
            rtsp://xxx:xxx@10.10.30.6:554/cam/realmonitor?channel=1&subtype=1
          roles:
            - detect
    objects:
      track:
        - person
    detect:
      width: 640
      height: 360
    record:
      enabled: true
      retain:
        days: 2
        mode: all
      alerts:
        retain:
          days: 7
      detections:
        retain:
          days: 7
  backyard_left:
    enabled: true
    ffmpeg:
      hwaccel_args: preset-nvidia-h264
      inputs:
        - path: rtsp://localhost:8554/backyard_left
          roles:
            - record
          input_args: preset-rtsp-restream
        - path: >-
            rtsp://xxx:xxx@10.10.30.11:554/cam/realmonitor?channel=1&subtype=1
          roles:
            - detect
    objects:
      track:
        - person
        - dog
        - cat
      filters:
        person:
          max_area: 300000
    detect:
      width: 704
      height: 576
    record:
      enabled: true
      retain:
        days: 5
        mode: all
      alerts:
        retain:
          days: 21
      detections:
        retain:
          days: 21
    motion:
      mask:
        - 0.362,0.378,0.4,0.19,0.512,0.175,0.559,0.2,0.558,0.263,0.682,0.278,0.716,0.3,0.745,0.318,1,0.528,1,0,0.723,0,0.445,0,0,0,0,1,0.252,1
        - 0.807,0.413,0.729,0.806,0.67,0.998,0.763,1,0.788,0.866,0.837,0.637,0.882,0.488
      threshold: 50
      contour_area: 10
      improve_contrast: true
      lightning_threshold: 0.5
    zones:
      zone_backyard_left:
        coordinates: 1280,720,1280,435,1094,416,745,237,468,227,349,720
        objects:
          - person
#  front_garden:
#    enabled: true
#    ffmpeg:
#      hwaccel_args: preset-nvidia-h264
#      inputs:
#        - path: rtsp://localhost:8554/front_garden
#          roles:
#            - record
#          input_args: preset-rtsp-restream
#        - path: >-
#            rtsp://xxx:xxx@10.10.30.12:554/cam/realmonitor?channel=1&subtype=1
#          roles:
#            - detect
#    objects:
#      track:
#        - person
#    zones:
#      zone_front_garden:
#        coordinates: 247,412,494,720,765,720,1053,442,679,254
#        objects:
#          - person
#    motion:
#      mask:
#        - 168,155,354,69,374,0,0,0,0,83,0,209,0,218
#        - 1280,720,1280,560,950,556,746,720
#    record:
#      enabled: true
#      retain:
#        days: 7
#        mode: all
#      alerts:
#        retain:
#          days: 21
#      detections:
#        retain:
#          days: 21

  front_garden2:
    enabled: true
    ffmpeg:
      hwaccel_args: preset-nvidia-h264
      inputs:
        - path: rtsp://localhost:8554/front_garden2
          roles:
            - record
          input_args: preset-rtsp-restream
        - path: >-
            rtsp://xxx:xxx@10.10.30.13:554/cam/realmonitor?channel=1&subtype=1&unicast=true&proto=Onvif
          roles:
            - detect
    objects:
      track:
        - person
    zones:
      zone_front_garden_2:
        coordinates: 263,519,143,720,611,720,668,551
        objects:
          - person
    motion:
      mask:
        - >-
          0,0,1280,0,1280,78,1218,108,1154,125,759,55,762,100,674,109,501,126,359,163,167,201,0,261
    record:
      enabled: true
      retain:
        days: 7
        mode: all
      alerts:
        retain:
          days: 21
      detections:
        retain:
          days: 21
  living_room2:
    enabled: true
    ffmpeg:
      hwaccel_args: preset-nvidia-h264
      inputs:
        - path: rtsp://localhost:8554/living_room2
          roles:
            - record
          input_args: preset-rtsp-restream
        - path: >-
            rtsp://xxx:xxx@10.10.30.4:554/cam/realmonitor?channel=1&subtype=1&unicast=true&proto=Onvif
          roles:
            - detect
    objects:
      track:
        - person
    detect:
      width: 640
      height: 480
      fps: 5
    record:
      enabled: true
      retain:
        days: 2
        mode: all
      alerts:
        retain:
          days: 7
      detections:
        retain:
          days: 7
  living_room:
    enabled: true
    ffmpeg:
      hwaccel_args: preset-nvidia-h264
      inputs:
        - path: rtsp://localhost:8554/living_room
          roles:
            - record
          input_args: preset-rtsp-restream
        - path: >-
            rtsp://xxx:xxx@10.10.30.3:554/cam/realmonitor?channel=1&subtype=1&unicast=true&proto=Onvif
          roles:
            - detect
    objects:
      track:
        - person
    detect:
      width: 640
      height: 480
      fps: 5
    record:
      enabled: true
      retain:
        days: 2
        mode: all
      alerts:
        retain:
          days: 7
      detections:
        retain:
          days: 7
  kitchen:
    enabled: true
    ffmpeg:
      hwaccel_args: preset-nvidia-h264
      inputs:
        - path: rtsp://localhost:8554/kitchen
          roles:
            - record
          input_args: preset-rtsp-restream
        - path: >-
            rtsp://xxx:xxx@10.10.30.16:554/h264Preview_01_sub
          roles:
            - detect
    onvif:
      host: 10.10.30.16
      port: 8000
      user: xxx
      password: xxx
    objects:
      track:
        - person
    detect:
      width: 896
      height: 512
      fps: 5
    record:
      enabled: true
      retain:
        days: 2
        mode: all
      alerts:
        retain:
          days: 7
      detections:
        retain:
          days: 7
  upper_landing:
    enabled: true
    ffmpeg:
      hwaccel_args: preset-nvidia-h264
      inputs:
        - path: rtsp://localhost:8554/upper_landing
          roles:
            - record
          input_args: preset-rtsp-restream
        - path: >-
            rtsp://xxx:xxx@10.10.30.2:554/cam/realmonitor?channel=1&subtype=1&unicast=true&proto=Onvif
          roles:
            - detect
    objects:
      track:
        - person
      filters:
        person:
          min_score: 0.65
    motion:
      mask: 0.645,0.044,0.644,0.08,0.97,0.079,0.968,0.047
    detect:
      width: 352
      height: 288
      fps: 5
    record:
      enabled: true
      retain:
        days: 2
        mode: all
      alerts:
        retain:
          days: 7
      detections:
        retain:
          days: 21
  loft:
    enabled: true
    ffmpeg:
      hwaccel_args: preset-nvidia-h264
      inputs:
        - path: rtsp://localhost:8554/loft
          roles:
            - record
          input_args: preset-rtsp-restream
        - path: >-
            rtsp://xxx:xxx@10.10.30.1:554/cam/realmonitor?channel=1&subtype=1&unicast=true&proto=Onvif
          roles:
            - detect
    objects:
      track:
        - person
    detect:
      width: 704
      height: 576
      fps: 5
    record:
      enabled: true
      retain:
        days: 1
        mode: all
      alerts:
        retain:
          days: 2
      detections:
        retain:
          days: 21
version: 0.16-0
camera_groups:
  Front:
    order: 1
    icon: LuDoorClosed
    cameras:
      - reolink_doorbell
      - front_garden2
      - front_garden
semantic_search:
  enabled: false
  reindex: false
  model_size: large

Relevant Frigate log output

info    | 2025-08-26 21:32:23 | startup                               | Preparing Frigate...
info    | 2025-08-26 21:32:24 | startup                               | Starting Frigate...
info    | 2025-08-26 21:32:29 | frigate.util.config                   | Checking if frigate config needs migration...
info    | 2025-08-26 21:32:29 | frigate.util.config                   | frigate config does not need migration...
info    | 2025-08-26 21:32:29 | frigate.app                           | Starting Frigate (0.16.0-c2f8de9)
info    | 2025-08-26 21:32:29 | frigate.app                           | Creating directory: /media/frigate/clips/cache
info    | 2025-08-26 21:32:29 | frigate.app                           | Creating directory: /tmp/cache
info    | 2025-08-26 21:32:29 | peewee_migrate.logs                   | Starting migrations
info    | 2025-08-26 21:32:29 | peewee_migrate.logs                   | There is nothing to migrate
info    | 2025-08-26 21:32:29 | frigate.app                           | Recording process started: 523
info    | 2025-08-26 21:32:29 | frigate.app                           | Review process started: 534
info    | 2025-08-26 21:32:29 | frigate.app                           | go2rtc process pid: 126
info    | 2025-08-26 21:32:29 | detector.detector_name                | Starting detection process: 543
info    | 2025-08-26 21:32:29 | frigate.detectors.plugins.edgetpu_tfl | Attempting to load TPU as usb
info    | 2025-08-26 21:32:29 | frigate.app                           | Output process started: 567
info    | 2025-08-26 21:32:31 | frigate.app                           | Camera processor started for reolink_doorbell: 662
info    | 2025-08-26 21:32:31 | frigate.app                           | Camera processor started for baby_room: 669
info    | 2025-08-26 21:32:31 | frigate.app                           | Camera processor started for backyard_left: 684
info    | 2025-08-26 21:32:31 | frigate.app                           | Camera processor started for front_garden2: 693
info    | 2025-08-26 21:32:31 | frigate.app                           | Camera processor started for living_room2: 702
info    | 2025-08-26 21:32:31 | frigate.app                           | Camera processor started for living_room: 717
info    | 2025-08-26 21:32:31 | frigate.app                           | Camera processor started for kitchen: 726
info    | 2025-08-26 21:32:31 | frigate.app                           | Camera processor started for upper_landing: 733
info    | 2025-08-26 21:32:31 | frigate.app                           | Camera processor started for loft: 739
info    | 2025-08-26 21:32:31 | frigate.app                           | Capture process started for reolink_doorbell: 757
info    | 2025-08-26 21:32:31 | frigate.app                           | Capture process started for baby_room: 773
info    | 2025-08-26 21:32:31 | frigate.app                           | Capture process started for backyard_left: 789
info    | 2025-08-26 21:32:31 | frigate.app                           | Capture process started for front_garden2: 801
info    | 2025-08-26 21:32:31 | frigate.app                           | Capture process started for living_room2: 813
info    | 2025-08-26 21:32:31 | frigate.app                           | Capture process started for living_room: 825
info    | 2025-08-26 21:32:31 | frigate.app                           | Capture process started for kitchen: 837
info    | 2025-08-26 21:32:31 | frigate.app                           | Capture process started for upper_landing: 849
info    | 2025-08-26 21:32:31 | frigate.app                           | Capture process started for loft: 861
info    | 2025-08-26 21:32:31 | frigate.api.fastapi_app               | Starting FastAPI app
info    | 2025-08-26 21:32:31 | frigate.api.fastapi_app               | FastAPI started
info    | 2025-08-26 21:32:32 | frigate.detectors.plugins.edgetpu_tfl | TPU found
unknown | 2025-08-26 21:32:32 | unknown                               | INFO: Created TensorFlow Lite XNNPACK delegate for CPU.

Relevant go2rtc log output

info    | 2025-08-26 21:32:24 | startup | Preparing new go2rtc config...
info    | 2025-08-26 21:32:24 | WARN    | Using go2rtc binary from '/config/go2rtc' instead of the embedded one
info    | 2025-08-26 21:32:24 | startup | Starting go2rtc...
info    | 2025-08-26 21:32:25 | startup | go2rtc platform=linux/amd64 revision=8cca8de version=1.9.6
info    | 2025-08-26 21:32:25 | startup | config path=/dev/shm/go2rtc.yaml
info    | 2025-08-26 21:32:25 | api     | listen addr=:1984
info    | 2025-08-26 21:32:25 | rtsp    | listen addr=:8554
info    | 2025-08-26 21:32:25 | webrtc  | listen addr=:8555/tcp
info    | 2025-08-26 21:32:33 | startup | Starting go2rtc healthcheck service...
warning | 2025-08-26 21:35:36 | startup | github.com/AlexxIT/go2rtc/internal/streams/producer.go:170 > error="RTSP wrong input" url=rtsp://xxx:xxx@10.10.30.16:554/h264Preview_01_main
warning | 2025-08-26 21:35:50 | startup | github.com/AlexxIT/go2rtc/internal/streams/producer.go:170 > error="size 5 < 60: RTP header size insufficient" url=rtsp://xxx:xxx@10.10.30.16:554/h264Preview_01_main
warning | 2025-08-26 21:36:44 | startup | github.com/AlexxIT/go2rtc/internal/streams/producer.go:170 > error="size 56855 < 126184: RTP header size insufficient for extension" url=rtsp://xxx:xxx@10.10.30.16:554/h264Preview_01_main

Frigate stats

{"cameras":{"reolink_doorbell":{"camera_fps":5.0,"process_fps":5.0,"skipped_fps":0.0,"detection_fps":1.1,"detection_enabled":true,"pid":662,"capture_pid":757,"ffmpeg_pid":767,"audio_rms":0.0,"audio_dBFS":0.0},"baby_room":{"camera_fps":5.0,"process_fps":5.0,"skipped_fps":0.0,"detection_fps":5.7,"detection_enabled":true,"pid":669,"capture_pid":773,"ffmpeg_pid":780,"audio_rms":0.0,"audio_dBFS":0.0},"backyard_left":{"camera_fps":5.1,"process_fps":5.1,"skipped_fps":0.0,"detection_fps":5.1,"detection_enabled":true,"pid":684,"capture_pid":789,"ffmpeg_pid":795,"audio_rms":0.0,"audio_dBFS":0.0},"front_garden2":{"camera_fps":5.1,"process_fps":5.1,"skipped_fps":0.0,"detection_fps":2.5,"detection_enabled":true,"pid":693,"capture_pid":801,"ffmpeg_pid":807,"audio_rms":0.0,"audio_dBFS":0.0},"living_room2":{"camera_fps":5.1,"process_fps":5.1,"skipped_fps":0.0,"detection_fps":0.8,"detection_enabled":true,"pid":702,"capture_pid":813,"ffmpeg_pid":819,"audio_rms":0.0,"audio_dBFS":0.0},"living_room":{"camera_fps":5.1,"process_fps":5.1,"skipped_fps":0.0,"detection_fps":0.0,"detection_enabled":true,"pid":717,"capture_pid":825,"ffmpeg_pid":831,"audio_rms":0.0,"audio_dBFS":0.0},"kitchen":{"camera_fps":5.1,"process_fps":5.1,"skipped_fps":0.0,"detection_fps":0.5,"detection_enabled":true,"pid":726,"capture_pid":837,"ffmpeg_pid":843,"audio_rms":0.0,"audio_dBFS":0.0},"upper_landing":{"camera_fps":5.1,"process_fps":5.1,"skipped_fps":0.0,"detection_fps":0.0,"detection_enabled":true,"pid":733,"capture_pid":849,"ffmpeg_pid":855,"audio_rms":0.0,"audio_dBFS":0.0},"loft":{"camera_fps":5.1,"process_fps":5.1,"skipped_fps":0.0,"detection_fps":0.0,"detection_enabled":true,"pid":739,"capture_pid":861,"ffmpeg_pid":869,"audio_rms":0.0,"audio_dBFS":0.0}},"detectors":{"detector_name":{"inference_speed":35.27,"detection_start":0.0,"pid":543}},"detection_fps":15.7,"embeddings":{},"gpu_usages":{"Quadro RTX 5000":{"gpu":"1.0%","mem":"9.75%","enc":"0.0%","dec":"1.0%"}},"cpu_usages":{"frigate.full_system":{"cpu":"19.9","mem":"13.7"},"1":{"cpu":"0.0","cpu_average":"0","mem":"0.0","cmdline":"/package/admin/s6/command/s6-svscan -d4 -- /run/service"},"17":{"cpu":"0.0","cpu_average":"0","mem":"0.0","cmdline":"s6-supervise s6-linux-init-shutdownd"},"18":{"cpu":"0.0","cpu_average":"0","mem":"0.0","cmdline":"/package/admin/s6-linux-init/command/s6-linux-init-shutdownd -d3 -c /run/s6/basedir -g 3000 -C -B"},"27":{"cpu":"0.0","cpu_average":"0","mem":"0.0","cmdline":"s6-supervise s6rc-fdholder"},"28":{"cpu":"0.0","cpu_average":"0","mem":"0.0","cmdline":"s6-supervise frigate"},"29":{"cpu":"0.0","cpu_average":"0","mem":"0.0","cmdline":"s6-supervise go2rtc-log"},"30":{"cpu":"0.0","cpu_average":"0","mem":"0.0","cmdline":"s6-supervise go2rtc"},"31":{"cpu":"0.0","cpu_average":"0","mem":"0.0","cmdline":"s6-supervise 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Operating system

Debian

Install method

Docker Compose

docker-compose file or Docker CLI command

services:
  frigate:
    cap_add:
      - AUDIT_WRITE
      - CHOWN
      - DAC_OVERRIDE
      - FOWNER
      - FSETID
      - KILL
      - MKNOD
      - NET_BIND_SERVICE
      - NET_RAW
      - SETFCAP
      - SETGID
      - SETPCAP
      - SETUID
      - SYS_CHROOT
    cap_drop:
      - ALL
    container_name: frigate
    entrypoint: ['/init']
    environment:
      PLUS_API_KEY: "${FRIGATE_PLUS_API_KEY}"
      YOLO_MODELS: "yolov7-640"
      USE_FP16: "false"
      NVIDIA_VISIBLE_DEVICES: "all"
      NVIDIA_DRIVER_CAPABILITIES: "compute,video,utility"
      TOKENIZERS_PARALLELISM: "true"
      TRANSFORMERS_NO_ADVISORY_WARNINGS: "1"
      OPENCV_FFMPEG_LOGLEVEL: "8"
    hostname: frigate
    image: ghcr.io/blakeblackshear/frigate:0.16.0-tensorrt
    devices:
      - /dev/bus/usb:/dev/bus/usb
    ipc: private
    runtime: nvidia
    shm_size: "4gb"
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: all
              capabilities: [compute,utility,video]
    logging:
      driver: json-file
      options:
        max-size: "10m"
        max-file: "3"
    networks:
      - frigate
      - traefik
    ports:
      - 5000:5000/tcp ## NO AUTH!!!!!
      - 1984:1984/tcp
      - 8554:8554/tcp
      - 8555:8555/tcp
      - 8555:8555/udp
      - 8971:8971/tcp #authentication
    privileged: true
    labels:
      traefik.enable: "true"
      traefik.http.routers.frigate.entrypoints: websecure
      traefik.http.routers.frigate.rule: Host(`cctv.${DOMAIN_NAME}`)
      traefik.http.routers.frigate.tls: "true"
      traefik.http.routers.frigate.tls.certresolver: letsencrypt
      traefik.http.routers.frigate.tls.domains[0].main: "${DOMAIN_NAME}"
      traefik.http.routers.frigate.tls.domains[0].sans: "*.${DOMAIN_NAME}"
      traefik.http.routers.frigate.middlewares: "secHeaders@file,authelia-auth@docker"
      traefik.http.services.frigate.loadbalancer.server.port: "5000"
      traefik.docker.network: "traefik"
      homepage.group: "Home"
      homepage.name: "Frigate"
      homepage.icon: "frigate.png"
      homepage.href: "https://cctv.${DOMAIN_NAME}"
      homepage.description: "CCTV NVR"
      homepage.widget.type: "frigate"
      homepage.widget.url: "http://10.10.1.13:5000"
      homepage.widget.enableRecentEvents: "true"
      wud.watch: "true"
      wud.watch.digest: "true"
      wud.tag.include: '^\d+\.\d+\.\d+\-tensorrt$$'
      wud.link.template: "https://github.com/blakeblackshear/frigate/releases/tag/v$${major}.$${minor}.$${patch}"
      wud.display.name: "Frigate"
      wud.display.icon: "mdi:cctv"
    restart: unless-stopped
    security_opt:
      - label=disable
    volumes:
      - /srv/dev-disk-by-uuid-4a6794fd-5f63-42bd-b4ce-3653bce38f8a/CCTV/clips:/media/frigate/clips
      - /srv/dev-disk-by-uuid-4a6794fd-5f63-42bd-b4ce-3653bce38f8a/CCTV:/media/frigate/recordings
      - /root/download_yolo.sh:/usr/local/src/tensorrt_demos/yolo/download_yolo.sh
      - /dev/bus/usb:/dev/bus/usb
      - /etc/localtime:/etc/localtime:ro
      - /opt/docker/frigate/frigate_config:/config
      - /opt/docker/frigate/frigate_storage:/media/frigate
    working_dir: /opt/frigate
networks:
  frigate:
    name: frigate
    driver: bridge
    external: false
  traefik:
    external: true

Object Detector

Coral

Screenshots of the Frigate UI's System metrics pages

Any other information that may be helpful

No response

hawkeye217 · 2025-08-26T21:08:44Z

hawkeye217
Aug 26, 2025
Collaborator

One of your biggest causes of false positives comes from the fact that you are using the default model that ships with Frigate. This model is based on the COCO dataset and is not trained specifically on security camera images.

There ways to mitigate false positives through object filters, but you could consider using a more accurate model with your Nvidia card like YOLOv9.

You could also try a Frigate+ model.

See the official documentation on the ONNX detector and models for your Nvidia card: https://docs.frigate.video/configuration/object_detectors/#onnx

0 replies

hawkeye217 · 2025-08-26T21:10:57Z

hawkeye217
Aug 26, 2025
Collaborator

@inkeep can also make some other suggestions on improving your config, including optimizing restreaming, not using max_frames, and tuning your motion detection.

0 replies

2025-08-26T21:11:32Z

inkeep-ai-assistant[bot]
bot Aug 26, 2025

Here are some targeted suggestions based on the official documentation:

Restreaming: If you restream camera feeds (e.g., using go2rtc or ffmpeg restreams), ensure that you are not duplicating unnecessary streams and that only the required roles (record, detect, audio) are assigned per input. This helps reduce CPU load. Carefully review the ffmpeg and go2rtc stream configuration for each camera and keep only what is essential(1).
max_frames: Setting max_frames for stationary objects disables stationary object tracking for that object type. The documentation warns that you should only set this if you have a specific reason. In most cases, it is recommended to remove the max_frames override and let Frigate handle stationary objects with the default behavior(2).
Motion detection: Your current motion settings may be overly sensitive or not sensitive enough. Use the Frigate UI's Motion Tuner (Settings > Motion Tuner) to adjust threshold and contour_area live while watching the debug stream. Typical starting points are threshold: 30 and contour_area: 10 for high sensitivity. Adjust these values to filter out unwanted motion (like trees or shadows) but still reliably detect people and vehicles(3). Also, verify that motion masks are only used to suppress motion from irrelevant areas—not to block detection of objects you care about(4).
Hardware acceleration: Make sure ffmpeg is configured to use the Nvidia GPU for all streams where possible, and avoid using more CPU threads than needed. Use the preset-nvidia for ffmpeg hwaccel_args and set threads according to your actual hardware needs(1).
Object filters: To reduce false positives, fine-tune object filters for each camera (min_area, max_area, min_score, threshold) as needed for your environment(1).
WebRTC issues: For Reolink doorbells, double-check that the stream is compatible and that ports are correctly mapped for WebRTC in your docker compose and go2rtc configuration(1).

For more detailed tuning, see:

📚 Sources:

Have another question? Just tag @inkeep.

0 replies

Dinth · 2025-08-27T00:24:59Z

Dinth
Aug 27, 2025
Author

But what about the CPU usage? I can see a potential to get rid of CPU detection when i migrate to ONNX, but go2rtc or even recording seem to be taking a lot of CPU time in my setup, basically clogging up a very powerful server

3 replies

hawkeye217 Aug 27, 2025
Collaborator

You are processing a fair number of streams on an old machine from ~13 years ago - what you're seeing is not something that I would be shocked by. My old Dell with an i5 4th gen processor had about 30% go2rtc CPU usage for 5 cameras, which has higher single-core performance than yours.

I would definitely try tuning your motion detection as the AI response suggested. Also, I'd try running your Coral on a USB3 port if you have one. The speeds you're seeing are likely due to USB2.

Dinth Aug 27, 2025
Author

Actually i have migrated to ONNX with YOLONAS-S, thats how it looks like now:

hawkeye217 Aug 27, 2025
Collaborator

That looks much better.

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[Config Support]: Configuration is very suboptimal, and heavily relies on CPU #19783

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[Config Support]: Configuration is very suboptimal, and heavily relies on CPU #19783

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Dinth Aug 26, 2025

Describe the problem you are having

Version

Frigate config file

Relevant Frigate log output

Relevant go2rtc log output

Frigate stats

Operating system

Install method

docker-compose file or Docker CLI command

Object Detector

Screenshots of the Frigate UI's System metrics pages

Any other information that may be helpful

Replies: 4 comments · 3 replies

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hawkeye217 Aug 26, 2025 Collaborator

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hawkeye217 Aug 26, 2025 Collaborator

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inkeep-ai-assistant[bot] bot Aug 26, 2025

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Dinth Aug 27, 2025 Author

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Dinth
Aug 26, 2025

Replies: 4 comments 3 replies

hawkeye217
Aug 26, 2025
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hawkeye217
Aug 26, 2025
Collaborator

inkeep-ai-assistant[bot]
bot Aug 26, 2025

Dinth
Aug 27, 2025
Author

hawkeye217 Aug 27, 2025
Collaborator

Dinth Aug 27, 2025
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hawkeye217 Aug 27, 2025
Collaborator