birdseye layout dimensions #16360

rpm5099 · 2025-02-07T06:52:27Z

rpm5099
Feb 7, 2025

Describe the problem you are having

I'm having a problem with the dimensions of the birdseye view. I got a dual lens Amcrest camera with 2x wide stream but it looked terrible and cost way too much so I replaced it with single lens 4k cameras, but the birdseye view for the 2 new cameras is stuck on the super wide tile and they're so small you can't see them.

I've tried every birdseye setting there is and removed all birdseye settings. I'm using the rc2 version but it does the same with older.

Version

0.15.0-cea210d

Frigate config file

logger:
  default: info
  logs:
    frigate.record: info
    frigate.event: info
    frigate.record.maintainer: info
    frigate.record.export: info
    frigate.record.util: debug
    frigate.capture: info
    frigate.output: info
    frigate.process: info
    peewee: warning
    peewee.sqliteq: warning
    frigate.events.maintainer: info
    frigate.plus: info
    frigate.video: info
    frigate.comms: info
    frigate.app: info
    frigate.object_detection: info
    frigate.genai: debug
    frigate.semantic_search: debug

mqtt:
  enabled: true
 REMOVED
  port: 1883
  topic_prefix: frigate
  client_id: frigate
  user: homeassistantREMOVED
  stats_interval: 60

timestamp_style:
  position: tl
  format: '%m/%d/%Y %H:%M:%S'
  color:
    red: 255
    green: 255
    blue: 255
  thickness: 2
  effect: shadow
version: 0.15-1

semantic_search:
  enabled: true
  reindex: false

  model_size: large

genai:
  enabled: true
  provider: ollama
rem
  model: llava:13b

ffmpeg:
  hwaccel_args: preset-nvidia-h265
  output_args:
    record: preset-record-generic-audio-aac

go2rtc:
  log:
    format: text
    level: debug
  streams:
    [REMOVED]
  webrtc:
    candidates:
      - localhost:8555
      - stun:8555

telemetry:
  network_interfaces:
    - enp
  stats:
    intel_gpu_stats: true
    network_bandwidth: true

tls:
  enabled: false

detectors:
  coral_pci:
    type: edgetpu
    device: pci
  coral_usb:
    type: edgetpu
    device: usb

audio:
  enabled: true
  max_not_heard: 30
  min_volume: 600
  listen:
    - bark
    - fire_alarm
    - scream
    - speech
    - yell
  filters:
    speech:
      threshold: 0.8

birdseye:
  enabled: true
  restream: true
  quality: 8
  mode: continuous
  inactivity_threshold: 900

objects:
  track:
    - person
    - face
    - license_plate
    - dog
    - cat
    - car
    - amazon
    - fedex
    - ups
    - package
    - bear
    - bird
    - airplane
    - bicycle

record:
  enabled: true
  sync_recordings: true
  expire_interval: 1440
  retain:
    days: 21
    mode: all
  export:
    timelapse_args: -vf setpts=0.02*PTS -r 30
  preview:
    quality: very_high
  alerts:
    retain: {}
    pre_capture: 60
    post_capture: 60
  detections:
    retain: {}
    pre_capture: 60
    post_capture: 60
snapshots:
  enabled: true
  timestamp: true
  crop: false
  retain:
    default: 3
  quality: 100

cameras:
  drivewaycam:
    enabled: true
    ffmpeg:
      inputs:
        - path: rtsp://127.0.0.1:8554/drivewaycam?video=copy&audio=aac
          input_args: preset-rtsp-restream
          hwaccel_args: preset-nvidia-h265
          roles:
            - record
            - audio
        - path: rtsp://127.0.0.1:8554/drivewaycam_sub?video=copy&audio=aac
          input_args: preset-rtsp-restream
          hwaccel_args: preset-nvidia-h265
          roles:
            - detect
    detect:
      enabled: true
      width: 1024
      height: 452
      fps: 5
    genai:
      use_snapshot: true
      prompt: Analyze the {label} in these images from the {camera} security camera
        showing the driveway. Focus on the actions and potential intent of the {label}.
      object_prompts:
        person: Examine the person in these images. What are they doing, and how might
          their actions suggest their purpose (e.g., delivering something, approaching,
          leaving)? If they are carrying or interacting with a package, include details
          about its source or destination.
        face: Examine the person's face in these images. What are they doing, and
          how might their actions suggest their purpose (e.g., delivering something,
          approaching, leaving)? What mood does the person appear to be in?  If they
          are carrying or interacting with a package, include details about its source
          or destination.
        cat: Observe the cat in these images. Focus on its movement and intent (e.g.,
          wandering, hunting, interacting with objects). If the cat is near the flower
          pots or engaging in any specific actions, mention it.
        dog: Observe the cat in these images. Focus on its movement and intent (e.g.,
          wandering, hunting, interacting with objects). If the cat is near the flower
          pots or engaging in any specific actions, mention it.
        car: Observe the vehicle in these images. Focus on its purpose, loitering
          time, make, model, license plate and color.  Mention the number of persons
          in the vehicle. If the driver engages in any specific actions, mention it.
      objects:
        - person
        - cat
        - face
        - license_plate
        - dog
        - car
        - motorcycle
    motion:
      enabled: true
      threshold: 35
      contour_area: 8
      improve_contrast: true
    live:
      stream_name: drivewaycam
      height: 1920
      quality: 5

  frontwalk:
    enabled: true
    ffmpeg:
      inputs:
        - path: rtsp://127.0.0.1:8554/frontwalk?video=copy&audio=aac
          input_args: preset-rtsp-restream
          hwaccel_args: preset-nvidia-h265
          roles:
            - record
            - audio
        - path: rtsp://127.0.0.1:8554/frontwalk_sub?video=copy&audio=aac
          input_args: preset-rtsp-restream
          roles:
            - detect
    detect:
      enabled: true
      width: 1024
      height: 452
      fps: 5
    genai:
      use_snapshot: true
      prompt: Analyze the {label} in these images from the {camera} security camera
        showing the driveway. Focus on the actions and potential intent of the {label}.
      object_prompts:
        person: Examine the person in these images. What are they doing, and how might
          their actions suggest their purpose (e.g., delivering something, approaching,
          leaving)? If they are carrying or interacting with a package, include details
          about its source or destination.
        face: Examine the person's face in these images. What are they doing, and
          how might their actions suggest their purpose (e.g., delivering something,
          approaching, leaving)? What mood does the person appear to be in?  If they
          are carrying or interacting with a package, include details about its source
          or destination.
        cat: Observe the cat in these images. Focus on its movement and intent (e.g.,
          wandering, hunting, interacting with objects). If the cat is near the flower
          pots or engaging in any specific actions, mention it.
        dog: Observe the cat in these images. Focus on its movement and intent (e.g.,
          wandering, hunting, interacting with objects). If the cat is near the flower
          pots or engaging in any specific actions, mention it.
        car: Observe the vehicle in these images. Focus on its purpose, loitering
          time, make, model, license plate and color.  Mention the number of persons
          in the vehicle. If the driver engages in any specific actions, mention it.
      objects:
        - person
        - cat
        - face
        - license_plate
        - dog
        - car
        - motorcycle
    motion:
      enabled: true
      threshold: 35
      contour_area: 8
      improve_contrast: true
    live:
      stream_name: frontwalk
      height: 1800
      quality: 8
    review:
      alerts: {}

  backtrackmix:
    enabled: true
    ffmpeg:
      inputs:
        - path: rtsp://127.0.0.1:8554/backtrackmix
          input_args: preset-rtsp-restream
          hwaccel_args: preset-nvidia-h265
          roles:
            - record
            - audio
            - detect
    detect:
      enabled: true
      width: 896
      height: 512
      fps: 5

    genai:
      use_snapshot: true
      prompt: Analyze the {label} in these images from the {camera} security camera
        showing the driveway. Focus on the actions and potential intent of the {label}.
      object_prompts:
        person: Examine the person in these images. What are they doing, and how might
          their actions suggest their purpose (e.g., delivering something, approaching,
          leaving)? If they are carrying or interacting with a package, include details
          about its source or destination.
        face: Examine the person's face in these images. What are they doing, and
          how might their actions suggest their purpose (e.g., delivering something,
          approaching, leaving)? What mood does the person appear to be in?  If they
          are carrying or interacting with a package, include details about its source
          or destination.
        cat: Observe the cat in these images. Focus on its movement and intent (e.g.,
          wandering, hunting, interacting with objects). If the cat is near the flower
          pots or engaging in any specific actions, mention it.
        dog: Observe the cat in these images. Focus on its movement and intent (e.g.,
          wandering, hunting, interacting with objects). If the cat is near the flower
          pots or engaging in any specific actions, mention it.
        car: Observe the vehicle in these images. Focus on its purpose, loitering
          time, make, model, license plate and color.  Mention the number of persons
          in the vehicle. If the driver engages in any specific actions, mention it.
      objects:
        - person
        - cat
        - face
        - license_plate
        - dog
        - car

    motion:
      enabled: true
      threshold: 35
      contour_area: 8
      improve_contrast: true
      mask:
        - 0,0,0,0.317,0.049,0.404,0.125,0.479,0.181,0.53,0.247,0.511,0.276,0.477,0.357,0.456,0.367,0.377,0.399,0.326,0.479,0.274,0.522,0.261,0.541,0.452,0.653,0.412,0.701,0.41,0.736,0.402,0.777,0.389,0.818,0.376,0.86,0.373,0.874,0.396,0.892,0.395,0.872,0.446,0.883,0.476,0.908,0.482,0.933,0.493,0.959,0.468,1,0.502,1,0
        - 0.178,1,0.179,0.968,0.192,0.922,0.213,0.893,0.257,0.901,0.277,0.919,0.302,0.91,0.33,0.907,0.345,0.982,0.366,0.962,0.404,0.975,0.416,1
    live:
      stream_name: backtrackmix
      height: 720
      quality: 8
    onvif:
     REMOVED
      port: 8000
      user: REMOVED
    zones:
      shed:
        coordinates: 0,0.36,0.175,0.535,0.268,0.803,0.27,0.998,0.002,0.996
        loitering_time: 0
      swing:
        coordinates: 
          0.176,0.539,0.248,0.531,0.31,0.495,0.376,0.593,0.488,0.674,0.353,0.831,0.315,0.907,0.272,0.912
        loitering_time: 0
        inertia: 3
      pool:
        coordinates: 0.536,0.317,1,0.223,1,0.55,0.864,0.601,0.619,0.545,0.535,0.518,0.541,0.391
        loitering_time: 0
        inertia: 3
      backyard:
        coordinates: 0.358,0.823,0.6,0.54,0.862,0.602,1,0.56,1,1,0.27,0.996
        loitering_time: 0
        inertia: 3
      coop:
        coordinates: 
          0.306,0.476,0.373,0.437,0.41,0.384,0.464,0.327,0.53,0.313,0.534,0.447,0.529,0.52,0.599,0.542,0.488,0.672,0.391,0.598,0.341,0.564
        loitering_time: 0
        inertia: 3
    review:
      alerts: {}



  sv3c_backyard:
    enabled: false
    ffmpeg:
      inputs:
        - path: rtsp://127.0.0.1:8554/sv3c_backyard
          input_args: preset-rtsp-restream
          hwaccel_args: preset-nvidia-h265
          roles:
            - record
            - audio
        - path: rtsp://127.0.0.1:8554/sv3c_backyard_sub
          input_args: preset-rtsp-restream
          hwaccel_args: preset-nvidia-h265
          roles:
            - detect
    detect:
      enabled: true
      width: 896
      height: 512
      fps: 5
    live:
      stream_name: sv3c_backyard
      height: 1440
      quality: 8
    onvif:
     REMOVED
      port: 80
      user: REMOVED
      ignore_time_mismatch: true
    audio:
      enabled: true

  reolinkdoorbell:
    enabled: false
    ffmpeg:
      inputs:
        - path: rtsp://127.0.0.1:8554/reolinkdoorbell
          input_args: preset-rtsp-restream
          roles:
            - record
            - audio
        - path: rtsp://127.0.0.1:8554/reolinkdoorbell_sub
          input_args: preset-rtsp-restream
          roles:
            - detect
    detect:
      enabled: true
      width: 896
      height: 512
      fps: 5
    live:
      stream_name: reolinkdoorbell
      height: 720
      quality: 8
    onvif:
     REMOVED
      port: 8000
      user: REMOVED

  bulletwifi1:
    enabled: false
    ffmpeg:
      inputs:
        - path: rtsp://127.0.0.1:8554/sv3c_bulletwifi1
          input_args: preset-rtsp-restream
          hwaccel_args: preset-nvidia-h265
          roles:
            - record
            - audio
        - path: rtsp://127.0.0.1:8554/sv3c_bulletwifi1_sub
          input_args: preset-rtsp-restream
          hwaccel_args: preset-nvidia-h265
          roles:
            - detect
    detect:
      enabled: true
      width: 896
      height: 512
      fps: 5
    live:
      stream_name: sv3c_bulletwifi1
      height: 720
      quality: 8
    onvif:
     REMOVED
      port: 8080
      user: REMOVED
      ignore_time_mismatch: true
    audio:
      enabled: true

  chicken_coop:
    enabled: false
    ffmpeg:
      output_args:
        record: preset-record-generic-audio-aac
      inputs:
        - path: rtsp://127.0.0.1:8554/chicken_coop
          input_args: preset-rtsp-restream
          hwaccel_args: preset-nvidia-h265
          roles:
            - record
            - audio
        - path: rtsp://127.0.0.1:8554/chicken_coop_sub
          input_args: preset-rtsp-restream
          hwaccel_args: preset-nvidia-h265
          roles:
            - detect
    detect:
      enabled: true
      width: 896
      height: 512
      fps: 5
    live:
      stream_name: chicken_coop
      height: 720
      quality: 8
    onvif:
     REMOVED
      port: 8080
      user: REMOVED
      ignore_time_mismatch: true
    audio:
      enabled: true

  chicken_run:
    enabled: false
    ffmpeg:
      output_args:
        record: preset-record-generic-audio-aac
      inputs:
        - path: rtsp://127.0.0.1:8554/chicken_run
          input_args: preset-rtsp-restream
          hwaccel_args: preset-nvidia-h265
          roles:
            - record
            - audio
        - path: rtsp://127.0.0.1:8554/chicken_run_sub
          input_args: preset-rtsp-restream
          hwaccel_args: preset-nvidia-h265
          roles:
            - detect
    detect:
      enabled: true
      width: 896
      height: 512
      fps: 5
    live:
      stream_name: chicken_run
      height: 720
      quality: 8
    onvif:
     REMOVED
      port: 8080
      user: REMOVED
      ignore_time_mismatch: true
    audio:
      enabled: true

Relevant Frigate log output

N/A

Relevant go2rtc log output

N/A

Frigate stats

$frstats
  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
                                 Dload  Upload   Total   Spent    Left  Speed
100 12279  100 12279    0     0  1981k      0 --:--:-- --:--:-- --:--:-- 2398k
{
  "cameras": {
    "drivewaycam": {
      "camera_fps": 5.1,
      "process_fps": 5.1,
      "skipped_fps": 0,
      "detection_fps": 14.8,
      "detection_enabled": true,
      "pid": 487,
      "capture_pid": 516,
      "ffmpeg_pid": 523,
      "audio_rms": 64.9022,
      "audio_dBFS": -54.0638
    },
    "frontwalk": {
      "camera_fps": 5.1,
      "process_fps": 5.1,
      "skipped_fps": 0,
      "detection_fps": 0.7,
      "detection_enabled": true,
      "pid": 493,
      "capture_pid": 519,
      "ffmpeg_pid": 528,
      "audio_rms": 43.3782,
      "audio_dBFS": -57.5636
    },
    "backtrackmix": {
      "camera_fps": 5,
      "process_fps": 5,
      "skipped_fps": 0,
      "detection_fps": 0,
      "detection_enabled": true,
      "pid": 501,
      "capture_pid": 522,
      "ffmpeg_pid": 542,
      "audio_rms": 525.0671,
      "audio_dBFS": -35.9047
    },
    "sv3c_backyard": {
      "camera_fps": 0,
      "process_fps": 0,
      "skipped_fps": 0,
      "detection_fps": 0,
      "detection_enabled": true,
      "pid": null,
      "capture_pid": null,
      "ffmpeg_pid": 0,
      "audio_rms": 0,
      "audio_dBFS": 0
    },
    "reolinkdoorbell": {
      "camera_fps": 0,
      "process_fps": 0,
      "skipped_fps": 0,
      "detection_fps": 0,
      "detection_enabled": true,
      "pid": null,
      "capture_pid": null,
      "ffmpeg_pid": 0,
      "audio_rms": 0,
      "audio_dBFS": 0
    },
    "bulletwifi1": {
      "camera_fps": 0,
      "process_fps": 0,
      "skipped_fps": 0,
      "detection_fps": 0,
      "detection_enabled": true,
      "pid": null,
      "capture_pid": null,
      "ffmpeg_pid": 0,
      "audio_rms": 0,
      "audio_dBFS": 0
    },
    "chicken_coop": {
      "camera_fps": 0,
      "process_fps": 0,
      "skipped_fps": 0,
      "detection_fps": 0,
      "detection_enabled": true,
      "pid": null,
      "capture_pid": null,
      "ffmpeg_pid": 0,
      "audio_rms": 0,
      "audio_dBFS": 0
    },
    "chicken_run": {
      "camera_fps": 0,
      "process_fps": 0,
      "skipped_fps": 0,
      "detection_fps": 0,
      "detection_enabled": true,
      "pid": null,
      "capture_pid": null,
      "ffmpeg_pid": 0,
      "audio_rms": 0,
      "audio_dBFS": 0
    }
  },
  "detectors": {
    "coral_pci": {
      "inference_speed": 6.88,
      "detection_start": 0,
      "pid": 410
    },
    "coral_usb": {
      "inference_speed": 9.41,
      "detection_start": 0,
      "pid": 412
    }
  },
  "detection_fps": 15.5,
  "gpu_usages": {
    "NVIDIA GeForce GTX 1660 SUPER": {
      "gpu": "16.0%",
      "mem": "88.61%",
      "enc": "0.0%",
      "dec": "8.0%"
    }
  },
  "cpu_usages": {
    "frigate.full_system": {
      "cpu": "53.9",
      "mem": "12.2"
    },
    "1": {
      "cpu": "0.0",
      "cpu_average": "0",
      "mem": "0.0",
      "cmdline": "/package/admin/s6/command/s6-svscan -d4 -- /run/service"
    },
    "15": {
      "cpu": "0.0",
      "cpu_average": "0",
      "mem": "0.0",
      "cmdline": "s6-supervise s6-linux-init-shutdownd"
    },
    "17": {
      "cpu": "0.0",
      "cpu_average": "0",
      "mem": "0.0",
      "cmdline": "/package/admin/s6-linux-init/command/s6-linux-init-shutdownd -c /run/s6/basedir -g 3000 -C -B"
    },
    "24": {
      "cpu": "0.0",
      "cpu_average": "0",
      "mem": "0.0",
      "cmdline": "s6-supervise s6rc-oneshot-runner"
    },
    "25": {
      "cpu": "0.0",
      "cpu_average": "0",
      "mem": "0.0",
      "cmdline": "s6-supervise s6rc-fdholder"
    },
    "26": {
      "cpu": "0.0",
      "cpu_average": "0",
      "mem": "0.0",
      "cmdline": "s6-supervise certsync"
    },
    "27": {
      "cpu": "0.0",
      "cpu_average": "0",
      "mem": "0.0",
      "cmdline": "s6-supervise certsync-log"
    },
    "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 frigate-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 go2rtc-healthcheck"
    },
    "32": {
      "cpu": "0.0",
      "cpu_average": "0",
      "mem": "0.0",
      "cmdline": "s6-supervise go2rtc-log"
    },
    "33": {
      "cpu": "0.0",
      "cpu_average": "0",
      "mem": "0.0",
      "cmdline": "s6-supervise nginx"
    },
    "34": {
      "cpu": "0.0",
      "cpu_average": "0",
      "mem": "0.0",
      "cmdline": "s6-supervise nginx-log"
    },
    "45": {
      "cpu": "0.0",
      "cpu_average": "0",
      "mem": "0.0",
      "cmdline": "/package/admin/s6-2.11.3.2/command/s6-fdholderd -1 -i data/rules"
    },
    "46": {
      "cpu": "0.0",
      "cpu_average": "0",
      "mem": "0.0",
      "cmdline": "/package/admin/s6/command/s6-ipcserverd -1 -- /package/admin/s6/command/s6-ipcserver-access -v0 -E -l0 -i data/rules -- /package/admin/s6/command/s6-sudod -t 30000 -- /package/admin/s6-rc/command/s6-rc-oneshot-run -l ../.. --"
    },
    "91": {
      "cpu": "0.0",
      "cpu_average": "0",
      "mem": "0.0",
      "cmdline": "s6-log -b -- T 1 n0 s10000000 T /dev/shm/logs/nginx"
    },
    "93": {
      "cpu": "0.0",
      "cpu_average": "0",
      "mem": "0.0",
      "cmdline": "s6-log -b -- T 1 n0 s10000000 T /dev/shm/logs/go2rtc"
    },
    "94": {
      "cpu": "0.0",
      "cpu_average": "0",
      "mem": "0.0",
      "cmdline": "s6-log -b -- T 1 n0 s10000000 T /dev/shm/logs/frigate"
    },
    "95": {
      "cpu": "0.0",
      "cpu_average": "0",
      "mem": "0.0",
      "cmdline": "s6-log -b -- T 1 n0 s10000000 T /dev/shm/logs/certsync"
    },
    "102": {
      "cpu": "2.8",
      "cpu_average": "2",
      "mem": "0.1",
      "cmdline": "/config/go2rtc -config=/dev/shm/go2rtc.yaml"
    },
    "110": {
      "cpu": "0.0",
      "cpu_average": "0",
      "mem": "0.0",
      "cmdline": "bash ./run.user go2rtc-healthcheck"
    },
    "111": {
      "cpu": "2.8",
      "cpu_average": "12",
      "mem": "0.9",
      "cmdline": "python3 -u -m frigate"
    },
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      "cpu_average": "0",
      "mem": "0.0",
      "cmdline": "nginx: master process nginx"
    },
    "202": {
      "cpu": "0.1",
      "cpu_average": "0",
      "mem": "0.0",
      "cmdline": "nginx: worker process"
    },
    "203": {
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      "mem": "0.0",
      "cmdline": "nginx: worker process"
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    "204": {
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    },
    "205": {
      "cpu": "0.0",
      "cpu_average": "0",
      "mem": "0.0",
      "cmdline": "nginx: worker process"
    },
    "206": {
      "cpu": "0.0",
      "cpu_average": "0",
      "mem": "0.0",
      "cmdline": "nginx: cache manager process"
    },
    "340": {
      "cpu": "0.0",
      "cpu_average": "0",
      "mem": "0.0",
      "cmdline": "bash ./run.user certsync"
    },
    "361": {
      "cpu": "0.0",
      "cpu_average": "0",
      "mem": "0.0",
      "cmdline": "sleep 9999"
    },
    "394": {
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      "cpu_average": "0",
      "mem": "0.4",
      "cmdline": "frigate.recording_manager"
    },
    "396": {
      "cpu": "0.3",
      "cpu_average": "0",
      "mem": "0.4",
      "cmdline": "frigate.review_segment_manager"
    },
    "410": {
      "cpu": "1.2",
      "cpu_average": "0",
      "mem": "0.4",
      "cmdline": "frigate.detector.coral_pci"
    },
    "412": {
      "cpu": "2.5",
      "cpu_average": "2",
      "mem": "0.4",
      "cmdline": "frigate.detector.coral_usb"
    },
    "415": {
      "cpu": "2.5",
      "cpu_average": "5",
      "mem": "2.5",
      "cmdline": "frigate.embeddings_manager"
    },
    "450": {
      "cpu": "4.4",
      "cpu_average": "4",
      "mem": "0.4",
      "cmdline": "frigate.output       "
    },
    "463": {
      "cpu": "0.0",
      "cpu_average": "0",
      "mem": "0.0",
      "cmdline": "/usr/lib/ffmpeg/7.0/bin/ffmpeg -threads 1 -f rawvideo -pix_fmt yuv420p -video_size 1024x452 -i pipe: -threads 1 -f mpegts -s 4077x1800 -codec:v mpeg1video -q 8 -bf 0 pipe:"
    },
    "470": {
      "cpu": "0.0",
      "cpu_average": "0",
      "mem": "0.0",
      "cmdline": "/usr/lib/ffmpeg/7.0/bin/ffmpeg -threads 1 -f rawvideo -pix_fmt yuv420p -video_size 896x512 -i pipe: -threads 1 -f mpegts -s 1260x720 -codec:v mpeg1video -q 8 -bf 0 pipe:"
    },
    "477": {
      "cpu": "1.4",
      "cpu_average": "1",
      "mem": "0.1",
      "cmdline": "/usr/lib/ffmpeg/7.0/bin/ffmpeg -threads 1 -f rawvideo -pix_fmt yuv420p -video_size 1280x720 -i pipe: -threads 1 -f mpegts -s 1280x720 -codec:v mpeg1video -q 8 -bf 0 pipe:"
    },
    "487": {
      "cpu": "10.9",
      "cpu_average": "10",
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      "cmdline": "frigate.process:drivewaycam"
    },
    "493": {
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      "cmdline": "frigate.process:frontwalk"
    },
    "501": {
      "cpu": "0.7",
      "cpu_average": "1",
      "mem": "0.4",
      "cmdline": "frigate.process:backtrackmix"
    },
    "516": {
      "cpu": "0.4",
      "cpu_average": "0",
      "mem": "0.4",
      "cmdline": "frigate.capture:drivewaycam"
    },
    "519": {
      "cpu": "0.4",
      "cpu_average": "0",
      "mem": "0.4",
      "cmdline": "frigate.capture:frontwalk"
    },
    "522": {
      "cpu": "0.3",
      "cpu_average": "0",
      "mem": "0.4",
      "cmdline": "frigate.capture:backtrackmix"
    },
    "523": {
      "cpu": "0.9",
      "cpu_average": "0",
      "mem": "0.2",
      "cmdline": "/usr/lib/ffmpeg/7.0/bin/ffmpeg -hide_banner -loglevel warning -threads 2 -hwaccel cuda -hwaccel_output_format cuda -user_agent FFmpeg Frigate/0.15.0-cea210d -rtsp_transport tcp -timeout 5000000 -i rtsp://127.0.0.1:8554/drivewaycam_sub?video=copy&audio=aac -r 5 -vf fps=5,scale_cuda=w=1024:h=452,hwdownload,format=nv12,eq=gamma=1.4:gamma_weight=0.5 -threads 2 -f rawvideo -pix_fmt yuv420p pipe:"
    },
    "526": {
      "cpu": "0.6",
      "cpu_average": "0",
      "mem": "0.4",
      "cmdline": "python3 -u -m frigate"
    },
    "528": {
      "cpu": "0.7",
      "cpu_average": "0",
      "mem": "0.2",
      "cmdline": "/usr/lib/ffmpeg/7.0/bin/ffmpeg -hide_banner -loglevel warning -threads 2 -hwaccel cuda -hwaccel_output_format cuda -user_agent FFmpeg Frigate/0.15.0-cea210d -rtsp_transport tcp -timeout 5000000 -i rtsp://127.0.0.1:8554/frontwalk_sub?video=copy&audio=aac -r 5 -vf fps=5,scale_cuda=w=1024:h=452,hwdownload,format=nv12,eq=gamma=1.4:gamma_weight=0.5 -threads 2 -f rawvideo -pix_fmt yuv420p pipe:"
    },
    "542": {
      "cpu": "3.2",
      "cpu_average": "3",
      "mem": "0.4",
      "cmdline": "/usr/lib/ffmpeg/7.0/bin/ffmpeg -hide_banner -loglevel warning -threads 2 -hwaccel cuda -hwaccel_output_format cuda -user_agent FFmpeg Frigate/0.15.0-cea210d -rtsp_transport tcp -timeout 5000000 -i rtsp://127.0.0.1:8554/backtrackmix -f segment -segment_time 10 -segment_format mp4 -reset_timestamps 1 -strftime 1 -c:v copy -c:a aac /tmp/cache/backtrackmix@%Y%m%d%H%M%S%z.mp4 -r 5 -vf fps=5,scale_cuda=w=896:h=512,hwdownload,format=nv12,eq=gamma=1.4:gamma_weight=0.5 -threads 2 -f rawvideo -pix_fmt yuv420p pipe:"
    },
    "545": {
      "cpu": "1.2",
      "cpu_average": "0",
      "mem": "0.0",
      "cmdline": "/usr/lib/ffmpeg/7.0/bin/ffmpeg -hide_banner -loglevel warning -threads 2 -user_agent FFmpeg Frigate/0.15.0-cea210d -rtsp_transport tcp -timeout 5000000 -i rtsp://127.0.0.1:8554/drivewaycam?video=copy&audio=aac -f segment -segment_time 10 -segment_format mp4 -reset_timestamps 1 -strftime 1 -c:v copy -c:a aac /tmp/cache/drivewaycam@%Y%m%d%H%M%S%z.mp4"
    },
    "548": {
      "cpu": "1.8",
      "cpu_average": "1",
      "mem": "0.0",
      "cmdline": "/usr/lib/ffmpeg/7.0/bin/ffmpeg -hide_banner -loglevel warning -threads 2 -user_agent FFmpeg Frigate/0.15.0-cea210d -rtsp_transport tcp -timeout 5000000 -i rtsp://127.0.0.1:8554/frontwalk?video=copy&audio=aac -f segment -segment_time 10 -segment_format mp4 -reset_timestamps 1 -strftime 1 -c:v copy -c:a aac /tmp/cache/frontwalk@%Y%m%d%H%M%S%z.mp4"
    },
    "551": {
      "cpu": "0.2",
      "cpu_average": "0",
      "mem": "0.0",
      "cmdline": "/usr/lib/ffmpeg/7.0/bin/ffmpeg -hide_banner -v error -allowed_media_types video -fflags nobuffer -flags low_delay -timeout 5000000 -user_agent go2rtc/ffmpeg -rtsp_flags prefer_tcp -i rtsp://*:*@10.0.0.39:554/stream1 -c:v copy -an -user_agent ffmpeg/go2rtc -rtsp_transport tcp -f rtsp rtsp://127.0.0.1:8554/eedc53d1a7984c30b69dd1d69e8b6e4f"
    },
    "554": {
      "cpu": "1.4",
      "cpu_average": "1",
      "mem": "0.0",
      "cmdline": "/usr/lib/ffmpeg/7.0/bin/ffmpeg -hide_banner -v error -allowed_media_types video+audio -fflags nobuffer -flags low_delay -timeout 5000000 -user_agent go2rtc/ffmpeg -rtsp_flags prefer_tcp -i rtsp://*:*@10.0.0.32:554 -c copy -user_agent ffmpeg/go2rtc -rtsp_transport tcp -f rtsp rtsp://127.0.0.1:8554/e60b418d2c706852fa3536da004da6ad"
    },
    "569": {
      "cpu": "0.4",
      "cpu_average": "0",
      "mem": "0.0",
      "cmdline": "/usr/lib/ffmpeg/7.0/bin/ffmpeg -vn -threads 1 -hide_banner -loglevel warning -threads 2 -user_agent FFmpeg Frigate/0.15.0-cea210d -rtsp_transport tcp -timeout 5000000 -i rtsp://127.0.0.1:8554/drivewaycam?video=copy&audio=aac -threads 1 -f s16le -ar 16000 -ac 1 -y pipe:"
    },
    "570": {
      "cpu": "576.9",
      "cpu_average": "583",
      "mem": "1.2",
      "cmdline": "/usr/lib/ffmpeg/7.0/bin/ffmpeg -hide_banner -v error -allowed_media_types video+audio -fflags nobuffer -flags low_delay -timeout 5000000 -user_agent go2rtc/ffmpeg -rtsp_flags prefer_tcp -i rtsp://*:*@10.0.0.39:554/stream0 -c:v libx265 -g 50 -profile:v main -level:v 5.1 -preset:v superfast -tune:v zerolatency -pix_fmt:v yuv420p -c:a aac -user_agent ffmpeg/go2rtc -rtsp_transport tcp -f rtsp rtsp://127.0.0.1:8554/089a7fda896b71b0778681716ce74f2c"
    },
    "579": {
      "cpu": "0.4",
      "cpu_average": "0",
      "mem": "0.0",
      "cmdline": "/usr/lib/ffmpeg/7.0/bin/ffmpeg -vn -threads 1 -hide_banner -loglevel warning -threads 2 -user_agent FFmpeg Frigate/0.15.0-cea210d -rtsp_transport tcp -timeout 5000000 -i rtsp://127.0.0.1:8554/frontwalk?video=copy&audio=aac -threads 1 -f s16le -ar 16000 -ac 1 -y pipe:"
    },
    "589": {
      "cpu": "0.3",
      "cpu_average": "0",
      "mem": "0.0",
      "cmdline": "/usr/lib/ffmpeg/7.0/bin/ffmpeg -vn -threads 1 -hide_banner -loglevel warning -threads 2 -user_agent FFmpeg Frigate/0.15.0-cea210d -rtsp_transport tcp -timeout 5000000 -i rtsp://127.0.0.1:8554/backtrackmix -threads 1 -f s16le -ar 16000 -ac 1 -y pipe:"
    },
    "4290": {
      "cpu": "0.0",
      "cpu_average": "0",
      "mem": "0.0",
      "cmdline": "sleep 30s"
    }
  },
  "bandwidth_usages": {
    "102": {
      "bandwidth": 913.1
    }
  },
  "service": {
    "uptime": 276,
    "version": "0.15.0-cea210d",
    "latest_version": "0.14.1",
    "storage": {
      "/media/frigate/recordings": {
        "total": 29776876,
        "used": 2298872,
        "free": 27478004,
        "mount_type": "nfs4"
      },
      "/media/frigate/clips": {
        "total": 29776876,
        "used": 2298872,
        "free": 27478004,
        "mount_type": "nfs4"
      },
      "/tmp/cache": {
        "total": 953.7,
        "used": 49.1,
        "free": 904.6,
        "mount_type": "tmpfs"
      },
      "/dev/shm": {
        "total": 4096,
        "used": 103.2,
        "free": 3992.8,
        "mount_type": "tmpfs"
      }
    },
    "temperatures": {
      "apex_0": 42.05
    },
    "last_updated": 1738911035
  },
  "processes": {
    "recording": {
      "pid": 394
    },
    "review_segment": {
      "pid": 396
    },
    "go2rtc": {
      "pid": 102
    },
    "embeddings": {
      "pid": 415
    },
    "audio_detector": {
      "pid": 526
    }
  }
}

Operating system

Other Linux

Install method

Docker Compose

docker-compose file or Docker CLI command

N/A for this

Object Detector

Coral

Screenshots of the Frigate UI's System metrics pages

N/A for this

Any other information that may be helpful

None

Answered by hawkeye217

Feb 7, 2025

To be clear, your screenshot is not showing birdseye, it's just the standard Live dashboard layout.

You need to adjust your detect resolution for both the drivewaycam and frontwalk cameras. They are both currently 1024x452, which corresponds to an ultrawide aspect ratio. This is why they are still showing as ultrawide in the dashboard.

View full answer

hawkeye217 · 2025-02-07T10:49:38Z

hawkeye217
Feb 7, 2025
Collaborator

To be clear, your screenshot is not showing birdseye, it's just the standard Live dashboard layout.

You need to adjust your detect resolution for both the drivewaycam and frontwalk cameras. They are both currently 1024x452, which corresponds to an ultrawide aspect ratio. This is why they are still showing as ultrawide in the dashboard.

4 replies

rpm5099 Feb 7, 2025
Author

Exactly what I needed, thanks. I think I changed every single other setting about 40 times. Did not realize the detection resolution was used for the live page and that birdseye was different than live, my assumption was that the detect dimensions were only used by go2rtc to scale down the feed sent to the coral TPU's. What are the dimensions for under live->width/height? I'm assuming birdseye->width/height are the corresponding settings for the birdseye view, although I'm not sure why you would want them to be different.

NickM-27 Feb 7, 2025
Collaborator Sponsor

To be clear, go2rtc is not used in any way for detection, that is all done inside of Frigate with ffmpeg. Setting birdseye width/height changes the overall width/height of the birdseye view, not the individual cameras.

rpm5099 Feb 7, 2025
Author

I got the settings changed and live view looks great. The birdseye is working as well, except that all of the cameras seem to be using the low quality sub stream. I can see that being a good idea if there are a lot of cameras but is there is a way to change birdseye to be the main stream on all feeds?

Right now I have this for the global birdseye settings and no other birdseye settings on individual cameras:

birdseye:
  enabled: true
  restream: true
  width: 3200
  height: 1800
  quality: 5
  mode: continuous
  inactivity_threshold: 900
  layout:
    scaling_factor: 1.0
    max_cameras: 10

NickM-27 Feb 7, 2025
Collaborator Sponsor

No, because birdseye requires decoding the stream, which would be a lot of work and in general won't be much of a benefit

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birdseye layout dimensions #16360

rpm5099 Feb 7, 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: 1 comment · 4 replies

hawkeye217 Feb 7, 2025 Collaborator

rpm5099 Feb 7, 2025 Author

NickM-27 Feb 7, 2025 Collaborator Sponsor

rpm5099 Feb 7, 2025 Author

NickM-27 Feb 7, 2025 Collaborator Sponsor

rpm5099
Feb 7, 2025

Replies: 1 comment 4 replies

hawkeye217
Feb 7, 2025
Collaborator

rpm5099 Feb 7, 2025
Author

NickM-27 Feb 7, 2025
Collaborator Sponsor

rpm5099 Feb 7, 2025
Author

NickM-27 Feb 7, 2025
Collaborator Sponsor