[Support]: trt-model-prepare missing ]

[troykelly]

Checklist

• I have updated to the latest available Frigate version.
• I have cleared the cache of my browser.
• I have tried a different browser to see if it is related to my browser.
• I have tried reproducing the issue in incognito mode to rule out problems with any third party extensions or plugins I have installed.

Describe the problem you are having

When using a Frigate+ model on restart - there is an error:

/etc/s6-overlay/s6-rc.d/trt-model-prepare/run: line 23: [: missing `]'

Which might be responsible for:

2025-01-27 11:57:19.472593475  [2025-01-27 11:57:19] frigate.detectors.plugins.tensorrt ERROR   : 1: [stdArchiveReader.cpp::StdArchiveReader::32] Error Code 1: Serialization (Serialization assertion magicTagRead == kMAGIC_TAG failed.Magic tag does not match)
2025-01-27 11:57:19.498204107  [2025-01-27 11:57:19] frigate.detectors.plugins.tensorrt ERROR   : 4: [runtime.cpp::deserializeCudaEngine::66] Error Code 4: Internal Error (Engine deserialization failed.)
2025-01-27 11:57:19.507030566  Process detector:tensorrt:
2025-01-27 11:57:19.507033607  Traceback (most recent call last):
2025-01-27 11:57:19.507035072    File "/usr/lib/python3.9/multiprocessing/process.py", line 315, in _bootstrap
2025-01-27 11:57:19.507036117      self.run()
2025-01-27 11:57:19.507037315    File "/opt/frigate/frigate/util/process.py", line 41, in run_wrapper
2025-01-27 11:57:19.507040716      return run(*args, **kwargs)
2025-01-27 11:57:19.507042385    File "/usr/lib/python3.9/multiprocessing/process.py", line 108, in run
2025-01-27 11:57:19.507043823      self._target(*self._args, **self._kwargs)
2025-01-27 11:57:19.507062542    File "/opt/frigate/frigate/object_detection.py", line 121, in run_detector
2025-01-27 11:57:19.507063888      object_detector = LocalObjectDetector(detector_config=detector_config)
2025-01-27 11:57:19.507064999    File "/opt/frigate/frigate/object_detection.py", line 68, in __init__
2025-01-27 11:57:19.507066051      self.detect_api = create_detector(detector_config)
2025-01-27 11:57:19.507085887    File "/opt/frigate/frigate/detectors/__init__.py", line 18, in create_detector
2025-01-27 11:57:19.507086982      return api(detector_config)
2025-01-27 11:57:19.507110732    File "/opt/frigate/frigate/detectors/plugins/tensorrt.py", line 244, in __init__
2025-01-27 11:57:19.507111912      self.input_shape = self._get_input_shape()
2025-01-27 11:57:19.507113198    File "/opt/frigate/frigate/detectors/plugins/tensorrt.py", line 118, in _get_input_shape
2025-01-27 11:57:19.507114157      binding = self.engine[0]
2025-01-27 11:57:19.507115212  TypeError: 'NoneType' object is not subscriptable
2025-01-27 11:57:19.507116378  Exception ignored in: <function TensorRtDetector.__del__ at 0x7f4fa7b54940>
2025-01-27 11:57:19.507117433  Traceback (most recent call last):
2025-01-27 11:57:19.507118549    File "/opt/frigate/frigate/detectors/plugins/tensorrt.py", line 262, in __del__
2025-01-27 11:57:19.507132191      if self.outputs is not None:
2025-01-27 11:57:19.507133398  AttributeError: 'TensorRtDetector' object has no attribute 'outputs'

May be similar to #9834

Steps to reproduce

1. Configure frigate per the Frigate+ model how-to
2. Restart Frigate
3. See error and watch frigate continually restart
   ...

Version

0.15.0-rc1-tensorrt

In which browser(s) are you experiencing the issue with?

Brage Version 1.74.48 Chromium: 132.0.6834.83 (Official Build) (x86_64)

Frigate config file

mqtt:
  enabled: true
  host: ha002.automation.sy3.example.invalid
  port: 1883
  topic_prefix: frigate
  client_id: frigate
  user: frigate-sy3
  password: [REDACTED]
  stats_interval: 60

ffmpeg:
  hwaccel_args: preset-nvidia-h265

tls:
  # Optional: Enable TLS for port 8971 (default: shown below)
  enabled: false

detectors:
  tensorrt:
    type: tensorrt

# Disabled to use frigate+ custom model
#model:
#  path: /config/model_cache/tensorrt/yolov7-640.trt
#  input_tensor: nchw
#  input_pixel_format: rgb
#  width: 640
#  height: 640

model:
  path: plus://[REDACTED]

genai:
  enabled: true
  provider: openai
  api_key: '{FRIGATE_OPENAI_API_KEY}'
  model: gpt-4o
semantic_search:
  enabled: false
  model_size: large
  reindex: false

logger:
  # Optional: default log level (default: shown below)
  default: warning
  # Optional: module by module log level configuration
  # logs:
  #   frigate.mqtt: error


audio:
  enabled: true
  listen:
    - bark
    - dog
    - howl
    - yip
    - bow-wow
    - growling
    - whimper_dog
    - fire_alarm
    - scream
    - speech
    - yell
    - crying
    - whistling
    - snoring
    - cough
    - sneeze
    - burping
    - fart
    - finger_snapping
    - clapping
    - wind
    - rustling_leaves
    - wind_noise
    - thunderstorm
    - thunder
    - rain
    - raindrop
    - rain_on_surface
    - fire
    - honk
    - car
    - toot
    - car_alarm
    - skidding
    - tire_squeal
    - car_passing_by
    - truck
    - air_brake
    - air_horn
    - reversing_beeps
    - emergency_vehicle
    - police_car
    - ambulance
    - fire_engine
    - motorcycle
    - aircraft
    - aircraft_engine
    - jet_engine
    - propeller
    - helicopter
    - fixed-wing_aircraft
    - bicycle
    - skateboard
    - door
    - doorbell
    - ding-dong
    - sliding_door
    - slam
    - knock
    - tap
    - squeak
    - hair_dryer
    - toilet_flush
    - toothbrush
    - electric_toothbrush
    - vacuum_cleaner
    - keys_jangling
    - alarm
    - telephone
    - telephone_bell_ringing
    - siren
    - buzzer
    - smoke_detector
    - fire_alarm
    - jackhammer
    - explosion
    - gunshot
    - machine_gun
    - boom
    - crack
    - glass
    - chink
    - shatter
    - throbbing
    - vibration

detect:
  width: 1280
  height: 720
  fps: 5
  enabled: true
  max_disappeared: 25
  stationary:
    interval: 10
    threshold: 50
    max_frames:
      objects:
        person: 1000

objects:
  track:
    - airplane
    - backpack
    - bed
    - bicycle
    - bird
    - boat
    - book
    - bottle
    - bowl
    - bus
    - car
    - car
    - cat
    - cell phone
    - chair
    - couch
    - cup
    - desk
    - dining table
    - dog
    - door
    - eye glasses
    - fire hydrant
    - fork
    - hair brush
    - hair drier
    - handbag
    - hat
    - horse
    - keyboard
    - knife
    - laptop
    - mirror
    - motorcycle
    - mouse
    - parking meter
    - person
    - plate
    - potted plant
    - remote
    - scissors
    - shoe
    - skateboard
    - spoon
    - stop sign
    - street sign
    - suitcase
    - teddy bear
    - tie
    - toilet
    - toothbrush
    - traffic light
    - train
    - tv
    - umbrella
    - vase
    - window
    - wine glass

birdseye:
  enabled: true
  restream: true
  width: 1920
  height: 1080
  quality: 31
  mode: objects

record:
  enabled: true
  expire_interval: 60
  retain:
    days: 31
    mode: all
  alerts:
    retain:
      days: 60
    pre_capture: 30
    post_capture: 30
  detections:
    retain:
      days: 60
    pre_capture: 30
    post_capture: 30
snapshots:
  enabled: true
  clean_copy: true
  timestamp: true
  bounding_box: true
  crop: false
  required_zones: []
  retain:
    default: 90
    objects:
      person: 180
      car: 180

cameras:
  building_intercom: # <------ Name the camera
    ffmpeg:
#      hwaccel_args: preset-nvidia-h265
      inputs:
        # - path: rtsp://[REDACTED]:[REDACTED]@front.intercom.sy3.example.invalid
        - path: rtsp://127.0.0.1:8554/building_intercom?video&audio
#          hwaccel_args: preset-nvidia-h265
          input_args: preset-rtsp-restream
          roles:
            - detect
            - record
            - audio
      output_args:
        record: preset-record-generic-audio-copy
    detect:
      enabled: true # <---- disable detection until you have a working camera feed
      width: 1280 # <---- update for your camera's resolution
      height: 720 # <---- update for your camera's resolution
    record:
      enabled: true
      retain:
        days: 21
        mode: all
    audio:
      enabled: true
      listen:
        - bark
        - dog
        - howl
        - yip
        - bow-wow
        - growling
        - whimper_dog
        - fire_alarm
        - scream
        - speech
        - yell
        - crying
        - whistling
        - snoring
        - cough
        - sneeze
        - burping
        - fart
        - finger_snapping
        - clapping
        - wind
        - rustling_leaves
        - wind_noise
        - thunderstorm
        - thunder
        - rain
        - raindrop
        - rain_on_surface
        - fire
        - honk
        - car
        - toot
        - car_alarm
        - skidding
        - tire_squeal
        - car_passing_by
        - truck
        - air_brake
        - air_horn
        - reversing_beeps
        - emergency_vehicle
        - police_car
        - ambulance
        - fire_engine
        - motorcycle
        - aircraft
        - aircraft_engine
        - jet_engine
        - propeller
        - helicopter
        - fixed-wing_aircraft
        - bicycle
        - skateboard
        - door
        - doorbell
        - ding-dong
        - sliding_door
        - slam
        - knock
        - tap
        - squeak
        - hair_dryer
        - toilet_flush
        - toothbrush
        - electric_toothbrush
        - vacuum_cleaner
        - keys_jangling
        - alarm
        - telephone
        - telephone_bell_ringing
        - siren
        - buzzer
        - smoke_detector
        - fire_alarm
        - jackhammer
        - explosion
        - gunshot
        - machine_gun
        - boom
        - crack
        - glass
        - chink
        - shatter
        - throbbing
        - vibration
    objects:
      # Optional: list of objects to track from labelmap.txt (default: shown below)
      track:
        - backpack
        - bicycle
        - bus
        - car
        - cat
        - cell phone
        - dog
        - eye glasses
        - handbag
        - hat
        - horse
        - knife
        - motorcycle
        - person
        - skateboard
        - street sign
        - suitcase
        - umbrella
        - wine glass
    motion:
      mask:
        - 0,43,328,47,330,0,0,0
      # Optional: The threshold passed to cv2.threshold to determine if a pixel is different enough to be counted as motion.
      # Increasing this value will make motion detection less sensitive and decreasing it will make motion detection more sensitive.
      # The value should be between 1 and 255.
      threshold: 50
      # Optional: Minimum size in pixels in the resized motion image that counts as motion
      # Increasing this value will prevent smaller areas of motion from being detected. Decreasing will
      # make motion detection more sensitive to smaller moving objects.
      # As a rule of thumb:
      #  - 10 - high sensitivity
      #  - 30 - medium sensitivity
      #  - 50 - low sensitivity
      contour_area: 50
      # Optional: The percentage of the image used to detect lightning or other substantial changes where motion detection
      #           needs to recalibrate.
      # Increasing this value will make motion detection more likely to consider lightning or ir mode changes as valid motion.
      # Decreasing this value will make motion detection more likely to ignore large amounts of motion such as a person approaching
      # a doorbell camera.
      lightning_threshold: 0.8
    zones:
      Mailboxes:
        coordinates: 0.002,0.064,0.31,0.07,0.308,0.992,0.002,0.997
        loitering_time: 0
      Street:
        coordinates: 0.314,0.131,0.314,0.994,0.994,0.994,0.996,0.214,0.702,0.146,0.426,0.123
        loitering_time: 0
    review:
      alerts:
        required_zones:
          - Street
          - Mailboxes
  building_basement: # <------ Name the camera
    ffmpeg:
      # hwaccel_args: preset-nvidia-h265
      inputs:
        # - path: rtsp://[REDACTED]:[REDACTED]@172.16.1.250/unicast/c2/s0/live
        - path: rtsp://127.0.0.1:8554/building_basement
          # hwaccel_args: preset-nvidia-h265
          input_args: preset-rtsp-restream
          roles:
            - detect
            - record
      # output_args:
      #   record: preset-record-generic-audio-copy
    audio:
      enabled: false
    detect:
      enabled: true # <---- disable detection until you have a working camera feed
      width: 2560 # <---- update for your camera's resolution
      height: 1440 # <---- update for your camera's resolution
    objects:
      # Optional: list of objects to track from labelmap.txt (default: shown below)
      track:
        - backpack
        - bicycle
        - bottle
        - cat
        - cell phone
        - dog
        - handbag
        - hat
        - laptop
        - motorcycle
        - person
        - shoe
        - skateboard
        - suitcase
        - umbrella
    motion:
      mask:
        - 533,27,534,87,46,86,46,27
      # Optional: The threshold passed to cv2.threshold to determine if a pixel is different enough to be counted as motion.
      # Increasing this value will make motion detection less sensitive and decreasing it will make motion detection more sensitive.
      # The value should be between 1 and 255.
      threshold: 50
      # Optional: Minimum size in pixels in the resized motion image that counts as motion
      # Increasing this value will prevent smaller areas of motion from being detected. Decreasing will
      # make motion detection more sensitive to smaller moving objects.
      # As a rule of thumb:
      #  - 10 - high sensitivity
      #  - 30 - medium sensitivity
      #  - 50 - low sensitivity
      contour_area: 30
      # Optional: The percentage of the image used to detect lightning or other substantial changes where motion detection
      #           needs to recalibrate.
      # Increasing this value will make motion detection more likely to consider lightning or ir mode changes as valid motion.
      # Decreasing this value will make motion detection more likely to ignore large amounts of motion such as a person approaching
      # a doorbell camera.
      lightning_threshold: 0.8
  building_ground: # <------ Name the camera
    ffmpeg:
      # hwaccel_args: preset-nvidia-h265
      inputs:
        # - path: rtsp://[REDACTED]:[REDACTED]@172.16.1.250/unicast/c4/s0/live
        - path: rtsp://127.0.0.1:8554/building_ground
          # hwaccel_args: preset-nvidia-h265
          input_args: preset-rtsp-restream
          roles:
            - detect
            - record
      # output_args:
      #   record: preset-record-generic-audio-copy
    audio:
      enabled: false
    detect:
      enabled: true # <---- disable detection until you have a working camera feed
      width: 2560 # <---- update for your camera's resolution
      height: 1440 # <---- update for your camera's resolution
    objects:
      # Optional: list of objects to track from labelmap.txt (default: shown below)
      track:
        - backpack
        - bicycle
        - bottle
        - cat
        - cell phone
        - dog
        - handbag
        - hat
        - laptop
        - motorcycle
        - person
        - shoe
        - skateboard
        - suitcase
        - umbrella
    motion:
      mask:
        - 377,0,377,58,40,58,48,0
      # Optional: The threshold passed to cv2.threshold to determine if a pixel is different enough to be counted as motion.
      # Increasing this value will make motion detection less sensitive and decreasing it will make motion detection more sensitive.
      # The value should be between 1 and 255.
      threshold: 60
      # Optional: Minimum size in pixels in the resized motion image that counts as motion
      # Increasing this value will prevent smaller areas of motion from being detected. Decreasing will
      # make motion detection more sensitive to smaller moving objects.
      # As a rule of thumb:
      #  - 10 - high sensitivity
      #  - 30 - medium sensitivity
      #  - 50 - low sensitivity
      contour_area: 80
      # Optional: The percentage of the image used to detect lightning or other substantial changes where motion detection
      #           needs to recalibrate.
      # Increasing this value will make motion detection more likely to consider lightning or ir mode changes as valid motion.
      # Decreasing this value will make motion detection more likely to ignore large amounts of motion such as a person approaching
      # a doorbell camera.
      lightning_threshold: 0.8
      improve_contrast: 'true'
  building_level_1: # <------ Name the camera
    ffmpeg:
      # hwaccel_args: preset-nvidia-h265
      inputs:
        # - path: rtsp://[REDACTED]:[REDACTED]@172.16.1.250/unicast/c1/s0/live
        - path: rtsp://127.0.0.1:8554/building_level_1
          # hwaccel_args: preset-nvidia-h265
          input_args: preset-rtsp-restream
          roles:
            - detect
            - record
      # output_args:
      #   record: preset-record-generic-audio-copy
    audio:
      enabled: false
    detect:
      enabled: true # <---- disable detection until you have a working camera feed
      width: 2560 # <---- update for your camera's resolution
      height: 1440 # <---- update for your camera's resolution
    objects:
      # Optional: list of objects to track from labelmap.txt (default: shown below)
      track:
        - backpack
        - bicycle
        - bottle
        - cat
        - cell phone
        - dog
        - handbag
        - hat
        - laptop
        - motorcycle
        - person
        - shoe
        - skateboard
        - suitcase
        - umbrella
    motion:
      # Optional: The threshold passed to cv2.threshold to determine if a pixel is different enough to be counted as motion.
      # Increasing this value will make motion detection less sensitive and decreasing it will make motion detection more sensitive.
      # The value should be between 1 and 255.
      threshold: 50
      # Optional: Minimum size in pixels in the resized motion image that counts as motion
      # Increasing this value will prevent smaller areas of motion from being detected. Decreasing will
      # make motion detection more sensitive to smaller moving objects.
      # As a rule of thumb:
      #  - 10 - high sensitivity
      #  - 30 - medium sensitivity
      #  - 50 - low sensitivity
      contour_area: 30
      # Optional: The percentage of the image used to detect lightning or other substantial changes where motion detection
      #           needs to recalibrate.
      # Increasing this value will make motion detection more likely to consider lightning or ir mode changes as valid motion.
      # Decreasing this value will make motion detection more likely to ignore large amounts of motion such as a person approaching
      # a doorbell camera.
      lightning_threshold: 0.8
  building_street: # <------ Name the camera
    ffmpeg:
      # hwaccel_args: preset-nvidia-h265
      inputs:
        # - path: rtsp://[REDACTED]:[REDACTED]@172.16.1.250/unicast/c3/s0/live
        - path: rtsp://127.0.0.1:8554/building_street
          # hwaccel_args: preset-nvidia-h265
          # input_args: preset-rtsp-restream
          roles:
            - detect
            - record
      # output_args:
      #   record: preset-record-generic-audio-copy
    audio:
      enabled: false
    detect:
      enabled: true # <---- disable detection until you have a working camera feed
      width: 2560 # <---- update for your camera's resolution
      height: 1440 # <---- update for your camera's resolution
    objects:
      # Optional: list of objects to track from labelmap.txt (default: shown below)
      track:
        - backpack
        - bicycle
        - bottle
        - cat
        - cell phone
        - dog
        - handbag
        - hat
        - laptop
        - motorcycle
        - person
        - shoe
        - skateboard
        - suitcase
        - umbrella
    motion:
      mask:
        - 377,0,46,0,47,52,382,50
      # Optional: The threshold passed to cv2.threshold to determine if a pixel is different enough to be counted as motion.
      # Increasing this value will make motion detection less sensitive and decreasing it will make motion detection more sensitive.
      # The value should be between 1 and 255.
      threshold: 50
      # Optional: Minimum size in pixels in the resized motion image that counts as motion
      # Increasing this value will prevent smaller areas of motion from being detected. Decreasing will
      # make motion detection more sensitive to smaller moving objects.
      # As a rule of thumb:
      #  - 10 - high sensitivity
      #  - 30 - medium sensitivity
      #  - 50 - low sensitivity
      contour_area: 30
      # Optional: The percentage of the image used to detect lightning or other substantial changes where motion detection
      #           needs to recalibrate.
      # Increasing this value will make motion detection more likely to consider lightning or ir mode changes as valid motion.
      # Decreasing this value will make motion detection more likely to ignore large amounts of motion such as a person approaching
      # a doorbell camera.
      lightning_threshold: 0.8
  foyer: # <------ Name the camera
    ffmpeg:
      # hwaccel_args: preset-nvidia-h265
      inputs:
        # - path: rtsp://[REDACTED]:[REDACTED]@foyer.security.sy3.example.invalid
        - path: rtsp://127.0.0.1:8554/foyer?video&audio
          # hwaccel_args: preset-nvidia-h265
          input_args: preset-rtsp-restream
          roles:
            - detect
            - record
            - audio
      output_args:
        record: preset-record-generic-audio-copy
    detect:
      enabled: true # <---- disable detection until you have a working camera feed
      width: 3840 # <---- update for your camera's resolution
      height: 2160 # <---- update for your camera's resolution
    objects:
      # Optional: list of objects to track from labelmap.txt (default: shown below)
      track:
        - backpack
        - bird
        - cat
        - cell phone
        - dog
        - eye glasses
        - handbag
        - hat
        - laptop
        - person
        - potted plant
        - remote
        - shoe
        - skateboard
        - suitcase
        - umbrella
    onvif:
      host: foyer.security.sy3.example.invalid
      port: 8080
      user: camera
      password: [REDACTED]
      # autotracking:
      #   enabled: True
      #   calibrate_on_startup: True
      #   zooming: disabled
      #   zoom_factor: 0.3
      #   track:
      #     - person
      #   required_zones:
      #     - centre_image
      #   return_preset: "1"
      #   timeout: 10
    audio:
      enabled: true
      listen:
        - bark
        - dog
        - howl
        - yip
        - bow-wow
        - growling
        - whimper_dog
        - fire_alarm
        - scream
        - speech
        - yell
        - crying
        - whistling
        - snoring
        - cough
        - sneeze
        - burping
        - fart
        - finger_snapping
        - clapping
        - wind
        - rustling_leaves
        - wind_noise
        - thunderstorm
        - thunder
        - rain
        - raindrop
        - rain_on_surface
        - fire
        - honk
        - car
        - toot
        - car_alarm
        - skidding
        - tire_squeal
        - car_passing_by
        - truck
        - air_brake
        - air_horn
        - reversing_beeps
        - emergency_vehicle
        - police_car
        - ambulance
        - fire_engine
        - motorcycle
        - aircraft
        - aircraft_engine
        - jet_engine
        - propeller
        - helicopter
        - fixed-wing_aircraft
        - bicycle
        - skateboard
        - door
        - doorbell
        - ding-dong
        - sliding_door
        - slam
        - knock
        - tap
        - squeak
        - hair_dryer
        - toilet_flush
        - toothbrush
        - electric_toothbrush
        - vacuum_cleaner
        - keys_jangling
        - alarm
        - telephone
        - telephone_bell_ringing
        - siren
        - buzzer
        - smoke_detector
        - fire_alarm
        - jackhammer
        - explosion
        - gunshot
        - machine_gun
        - boom
        - crack
        - glass
        - chink
        - shatter
        - throbbing
        - vibration
    motion:
      mask:
        - 3840,83,3089,83,3089,0,3840,0
    zones:
      centre_image:
        coordinates: 3456,119,3550,2126,797,2112,859,135
  l2stairs: # <------ Name the camera
    onvif:
      host: l2stairs.security.sy3.example.invalid
      port: 8080
      user: camera
      password: [REDACTED]
      # autotracking:
      #   enabled: True
      #   calibrate_on_startup: True
      #   zooming: disabled
      #   zoom_factor: 0.3
      #   track:
      #     - person
      #   required_zones:
      #     - centre_image
      #   return_preset: "1"
      #   timeout: 10
    ffmpeg:
      # hwaccel_args: preset-nvidia-h265
      inputs:
        # - path: rtsp://[REDACTED]:[REDACTED]@l2stairs.security.sy3.example.invalid
        - path: rtsp://127.0.0.1:8554/l2stairs?video&audio
          # hwaccel_args: preset-nvidia-h265
          input_args: preset-rtsp-restream
          roles:
            - detect
            - record
            - audio
      output_args:
        record: preset-record-generic-audio-copy
    detect:
      enabled: true # <---- disable detection until you have a working camera feed
      width: 3840 # <---- update for your camera's resolution
      height: 2160 # <---- update for your camera's resolution
    objects:
      # Optional: list of objects to track from labelmap.txt (default: shown below)
      track:
        - backpack
        - bird
        - cat
        - cell phone
        - dog
        - eye glasses
        - handbag
        - hat
        - laptop
        - person
        - potted plant
        - remote
        - shoe
        - skateboard
        - suitcase
        - umbrella
    audio:
      enabled: true
      listen:
        - bark
        - dog
        - howl
        - yip
        - bow-wow
        - growling
        - whimper_dog
        - fire_alarm
        - scream
        - speech
        - yell
        - crying
        - whistling
        - snoring
        - cough
        - sneeze
        - burping
        - fart
        - finger_snapping
        - clapping
        - wind
        - rustling_leaves
        - wind_noise
        - thunderstorm
        - thunder
        - rain
        - raindrop
        - rain_on_surface
        - fire
        - honk
        - car
        - toot
        - car_alarm
        - skidding
        - tire_squeal
        - car_passing_by
        - truck
        - air_brake
        - air_horn
        - reversing_beeps
        - emergency_vehicle
        - police_car
        - ambulance
        - fire_engine
        - motorcycle
        - aircraft
        - aircraft_engine
        - jet_engine
        - propeller
        - helicopter
        - fixed-wing_aircraft
        - bicycle
        - skateboard
        - door
        - doorbell
        - ding-dong
        - sliding_door
        - slam
        - knock
        - tap
        - squeak
        - hair_dryer
        - toilet_flush
        - toothbrush
        - electric_toothbrush
        - vacuum_cleaner
        - keys_jangling
        - alarm
        - telephone
        - telephone_bell_ringing
        - siren
        - buzzer
        - smoke_detector
        - fire_alarm
        - jackhammer
        - explosion
        - gunshot
        - machine_gun
        - boom
        - crack
        - glass
        - chink
        - shatter
        - throbbing
        - vibration
    motion:
      mask:
        - 3840,83,3089,83,3089,0,3840,0
    zones:
      centre_image:
        coordinates: 3456,119,3550,2126,797,2112,859,135
  livingptz: # <------ Name the camera
    onvif:
      host: livingptz.security.sy3.example.invalid
      port: 8899
      user: camera
      password: [REDACTED]
    birdseye:
      enabled: false
    ffmpeg:
      hwaccel_args: preset-nvidia-h265
      inputs:
        # - path: rtsp://[REDACTED]:[REDACTED]@livingptz.security.sy3.example.invalid:80/videoMain
        - path: rtsp://127.0.0.1:8554/livingptz?video&audio
          hwaccel_args: preset-nvidia-h265
          input_args: preset-rtsp-restream
          roles:
            - detect
            - record
            - audio
      output_args:
        record: preset-record-generic-audio-copy
    detect:
      enabled: true # <---- disable detection until you have a working camera feed
      width: 1280 # <---- update for your camera's resolution
      height: 736 # <---- update for your camera's resolution
    objects:
      # Optional: list of objects to track from labelmap.txt (default: shown below)
      track:
        - backpack
        - bird
        - cat
        - cell phone
        - dog
        - eye glasses
        - handbag
        - hat
        - laptop
        - person
        - potted plant
        - remote
        - shoe
        - skateboard
        - suitcase
        - umbrella
    audio:
      enabled: true
      listen:
        - bark
        - dog
        - howl
        - yip
        - bow-wow
        - growling
        - whimper_dog
        - fire_alarm
        - scream
        - speech
        - yell
        - crying
        - whistling
        - snoring
        - cough
        - sneeze
        - burping
        - fart
        - finger_snapping
        - clapping
        - wind
        - rustling_leaves
        - wind_noise
        - thunderstorm
        - thunder
        - rain
        - raindrop
        - rain_on_surface
        - fire
        - honk
        - car
        - toot
        - car_alarm
        - skidding
        - tire_squeal
        - car_passing_by
        - truck
        - air_brake
        - air_horn
        - reversing_beeps
        - emergency_vehicle
        - police_car
        - ambulance
        - fire_engine
        - motorcycle
        - aircraft
        - aircraft_engine
        - jet_engine
        - propeller
        - helicopter
        - fixed-wing_aircraft
        - bicycle
        - skateboard
        - door
        - doorbell
        - ding-dong
        - sliding_door
        - slam
        - knock
        - tap
        - squeak
        - hair_dryer
        - toilet_flush
        - toothbrush
        - electric_toothbrush
        - vacuum_cleaner
        - keys_jangling
        - alarm
        - telephone
        - telephone_bell_ringing
        - siren
        - buzzer
        - smoke_detector
        - fire_alarm
        - jackhammer
        - explosion
        - gunshot
        - machine_gun
        - boom
        - crack
        - glass
        - chink
        - shatter
        - throbbing
        - vibration
  masterbed: # <------ Name the camera
    onvif:
      host: masterbed.security.sy3.example.invalid
      port: 80
      user: admin
      password: [REDACTED]
    birdseye:
      enabled: false
    ffmpeg:
      # hwaccel_args: preset-nvidia-h265
      inputs:
        # - path: rtsp://[REDACTED]:[REDACTED]@masterbed.security.sy3.example.invalid/
        - path: rtsp://127.0.0.1:8554/masterbed?video&audio
          # hwaccel_args: preset-nvidia-h265
          input_args: preset-rtsp-restream
          roles:
            - detect
            - record
            - audio
      output_args:
        record: preset-record-generic-audio-copy
    detect:
      enabled: false # <---- disable detection until you have a working camera feed
      width: 1920 # <---- update for your camera's resolution
      height: 1088 # <---- update for your camera's resolution
    objects:
      # Optional: list of objects to track from labelmap.txt (default: shown below)
      track:
        - backpack
        - bird
        - cat
        - cell phone
        - dog
        - eye glasses
        - handbag
        - hat
        - laptop
        - person
        - potted plant
        - remote
        - shoe
        - skateboard
        - suitcase
        - umbrella
    record:
      enabled: true
      retain:
        days: 7
        mode: all
    audio:
      enabled: true
      listen:
        - bark
        - dog
        - howl
        - yip
        - bow-wow
        - growling
        - whimper_dog
        - fire_alarm
        - scream
        - speech
        - yell
        - crying
        - whistling
        - snoring
        - cough
        - sneeze
        - burping
        - fart
        - finger_snapping
        - clapping
        - wind
        - rustling_leaves
        - wind_noise
        - thunderstorm
        - thunder
        - rain
        - raindrop
        - rain_on_surface
        - fire
        - honk
        - car
        - toot
        - car_alarm
        - skidding
        - tire_squeal
        - car_passing_by
        - truck
        - air_brake
        - air_horn
        - reversing_beeps
        - emergency_vehicle
        - police_car
        - ambulance
        - fire_engine
        - motorcycle
        - aircraft
        - aircraft_engine
        - jet_engine
        - propeller
        - helicopter
        - fixed-wing_aircraft
        - bicycle
        - skateboard
        - door
        - doorbell
        - ding-dong
        - sliding_door
        - slam
        - knock
        - tap
        - squeak
        - hair_dryer
        - toilet_flush
        - toothbrush
        - electric_toothbrush
        - vacuum_cleaner
        - keys_jangling
        - alarm
        - telephone
        - telephone_bell_ringing
        - siren
        - buzzer
        - smoke_detector
        - fire_alarm
        - jackhammer
        - explosion
        - gunshot
        - machine_gun
        - boom
        - crack
        - glass
        - chink
        - shatter
        - throbbing
        - vibration
  # storesptz: # <------ Name the camera
  #   onvif:
  #     host: storesptz.security.sy3.example.invalid
  #     port: 8899
  #     user: camera
  #     password: [REDACTED]
  #   ffmpeg:
  #     hwaccel_args: preset-nvidia-h265
  #     inputs:
  #       # - path: rtsp://[REDACTED]:[REDACTED]@storesptz.security.sy3.example.invalid:80/videoMain
  #     - path: rtsp://127.0.0.1:8554/storesptz?video&audio
  #       hwaccel_args: preset-nvidia-h265
  #       input_args: preset-rtsp-restream
  #       roles:
  #       - detect
  #       - record
  #       - audio
  #     output_args:
  #       record: preset-record-generic-audio-copy
  #   detect:
  #     enabled: true # <---- disable detection until you have a working camera feed
  #     width: 1280 # <---- update for your camera's resolution
  #     height: 720 # <---- update for your camera's resolution
  #   audio:
  #     enabled: true
  #     listen:
  #     - bark
  #     - fire_alarm
  #     - scream
  #     - speech
  #     - yell
  #   motion:
  #     mask:
  #     - 232,0,0,0,0,27,235,29
  #     # Optional: The threshold passed to cv2.threshold to determine if a pixel is different enough to be counted as motion.
  #     # Increasing this value will make motion detection less sensitive and decreasing it will make motion detection more sensitive.
  #     # The value should be between 1 and 255.
  #     threshold: 50
  #     # Optional: Minimum size in pixels in the resized motion image that counts as motion
  #     # Increasing this value will prevent smaller areas of motion from being detected. Decreasing will
  #     # make motion detection more sensitive to smaller moving objects.
  #     # As a rule of thumb:
  #     #  - 10 - high sensitivity
  #     #  - 30 - medium sensitivity
  #     #  - 50 - low sensitivity
  #     contour_area: 30
  #     # Optional: The percentage of the image used to detect lightning or other substantial changes where motion detection
  #     #           needs to recalibrate.
  #     # Increasing this value will make motion detection more likely to consider lightning or ir mode changes as valid motion.
  #     # Decreasing this value will make motion detection more likely to ignore large amounts of motion such as a person approaching
  #     # a doorbell camera.
  #     lightning_threshold: 0.8
  officedesks: # <------ Name the camera
    onvif:
      host: officedesks.security.sy3.example.invalid
      port: 80
      user: camera
      password: [REDACTED]
    ffmpeg:
#      hwaccel_args: preset-nvidia-h265
      inputs:
        # - path: rtsp://[REDACTED][REDACTED]@officedesks.security.sy3.example.invalid/0
        - path: rtsp://127.0.0.1:8554/officedesks
#          hwaccel_args: preset-nvidia-h265
          input_args: preset-rtsp-restream
          roles:
            - detect
            - record
      # output_args:
      #   record: preset-record-generic-audio-copy
    audio:
      enabled: false
    detect:
      enabled: true # <---- disable detection until you have a working camera feed
      width: 2688 # <---- update for your camera's resolution
      height: 1520 # <---- update for your camera's resolution
    objects:
      # Optional: list of objects to track from labelmap.txt (default: shown below)
      track:
        - backpack
        - cat
        - cell phone
        - dog
        - eye glasses
        - handbag
        - hat
        - laptop
        - person
        - remote
        - shoe
        - skateboard
        - suitcase
        - umbrella
    motion:
      mask:
        - 859,40,110,40,116,104,862,99
  officeentry: # <------ Name the camera
    onvif:
      host: officeentry.security.sy3.example.invalid
      port: 80
      user: camera
      password: [REDACTED]
    ffmpeg:
#      hwaccel_args: preset-nvidia-h265
      inputs:
        # - path: rtsp://[REDACTED][REDACTED]@officeentry.security.sy3.example.invalid/0
        - path: rtsp://127.0.0.1:8554/officeentry
#          hwaccel_args: preset-nvidia-h265
          input_args: preset-rtsp-restream
          roles:
            - detect
            - record
      # output_args:
      #   record: preset-record-generic-audio-copy
    audio:
      enabled: false
    detect:
      enabled: true # <---- disable detection until you have a working camera feed
      width: 2688 # <---- update for your camera's resolution
      height: 1520 # <---- update for your camera's resolution
    objects:
      # Optional: list of objects to track from labelmap.txt (default: shown below)
      track:
        - backpack
        - cat
        - cell phone
        - dog
        - eye glasses
        - handbag
        - hat
        - laptop
        - person
        - remote
        - shoe
        - skateboard
        - suitcase
        - umbrella
    motion:
      mask:
        - 1634,1004,1689,923,1753,836,1875,633,1963,500,2053,405,2110,396,2146,453,2154,574,2159,660,2157,791,2142,977,2132,1058,2105,1170,2090,1237,2021,1301,1964,1310,1827,1315,1701,1246,1630,1167,1612,1061
        - 1564,36,1558,106,802,96,803,27
  webcam_sydney: # <------ Name the camera
    onvif:
      host: cam005.security.sy3.example.invalid
      port: 80
      user: camera
      password: [REDACTED]
    ffmpeg:
#      hwaccel_args: preset-nvidia-h265
      inputs:
        # - path: rtsp://[REDACTED]:[REDACTED]@cam004.security.sy3.example.invalid/live/main
        - path: rtsp://127.0.0.1:8554/webcam_sydney?video&audio
#          hwaccel_args: preset-nvidia-h265
          input_args: preset-rtsp-restream
          roles:
            - record
    audio:
      enabled: false
    detect:
      enabled: false # <---- disable detection until you have a working camera feed
      width: 3840 # <---- update for your camera's resolution
      height: 2160 # <---- update for your camera's resolution
    objects:
      # Optional: list of objects to track from labelmap.txt (default: shown below)
      track:
        - bird
        - airplane
    record:
      enabled: true
      retain:
        days: 7
        mode: all
    motion: {}
    birdseye:
      enabled: false
  webcam_sydney2: # <------ Name the camera
    # onvif:
    #   host: cam004.security.sy3.example.invalid
    #   port: 80
    #   user: camera
    #   password: [REDACTED]
    ffmpeg:
#      hwaccel_args: preset-nvidia-h265
      inputs:
        # - path: rtsp://[REDACTED]:[REDACTED]@cam004.security.sy3.example.invalid/live/main
        - path: rtsp://127.0.0.1:8554/webcam_sydney2?video&audio
#          hwaccel_args: preset-nvidia-h265
          input_args: preset-rtsp-restream
          roles:
            - record
    audio:
      enabled: false
    detect:
      enabled: false # <---- disable detection until you have a working camera feed
      width: 1920 # <---- update for your camera's resolution
      height: 1080 # <---- update for your camera's resolution
    objects:
      # Optional: list of objects to track from labelmap.txt (default: shown below)
      track:
        - bird
        - airplane
        - person
    record:
      enabled: true
      retain:
        days: 7
        mode: all
    motion:
      mask:
        - 363,0,364,52,0,50,0,0
    birdseye:
      enabled: false
  cam006: # <------ Name the camera
    # onvif:
    #   host: cam003.security.sy3.example.invalid
    #   port: 80
    #   user: camera
    #   password: [REDACTED]
    ffmpeg:
#      hwaccel_args: preset-nvidia-h265
      inputs:
        # - path: rtsp://[REDACTED]:[REDACTED]@cam003.security.sy3.example.invalid/live/main
        - path: rtsp://127.0.0.1:8554/cam006
#          hwaccel_args: preset-nvidia-h265
          input_args: preset-rtsp-restream
          roles:
            - detect
            - record
    audio:
      enabled: false
    detect:
      enabled: true # <---- disable detection until you have a working camera feed
      width: 1920 # <---- update for your camera's resolution
      height: 1088 # <---- update for your camera's resolution
    objects:
      # Optional: list of objects to track from labelmap.txt (default: shown below)
      track:
        - backpack
        - bicycle
        - bus
        - car
        - cat
        - cell phone
        - dog
        - eye glasses
        - handbag
        - hat
        - horse
        - knife
        - motorcycle
        - person
        - skateboard
        - street sign
        - suitcase
        - umbrella
        - wine glass
    record:
      enabled: true
      retain:
        days: 7
        mode: all
    birdseye:
      enabled: true

# Optional: Restream configuration
# Uses https://github.com/AlexxIT/go2rtc (v1.2.0)
# IPTV sources from https://github.com/zhyzjkpa/iptv/blob/master/all.txt
go2rtc:
  log:
    format: text
    level: warning  # default level
    api: warning
    exec: warning
    ngrok: warning
    rtsp: warning
    streams: warning
    webrtc: warning
  streams:
    building_intercom:
      - ffmpeg:rtsp://[REDACTED]:[REDACTED]@front.intercom.sy3.example.invalid#audio=opus#audio=aac#input=cudartspinput#video=cudahevcvideo#raw=-vf
        hwdownload,format=nv12,drawtext=text='%{{localtime}}':x=2:y=20:fontsize=28:fontcolor=white:box=1:boxcolor=black:boxborderw=2:fontfile='/usr/share/fonts/truetype/dejavu/DejaVuSansMono.ttf',hwupload
    building_intercomh264:
      - ffmpeg:building_intercom#audio=opus#audio=aac#video=h264#hardware
    # building_intercomh264:
    # - ffmpeg:rtsp://[REDACTED]:[REDACTED]@front.intercom.sy3.example.invalid#audio=opus#audio=aac#input=cudartspinput#video=cudah264video#raw=-vf
    #   hwdownload,format=nv12,drawtext=text='%{{localtime}}':x=2:y=20:fontsize=28:fontcolor=white:box=1:boxcolor=black:boxborderw=2:fontfile='/usr/share/fonts/truetype/dejavu/DejaVuSansMono.ttf',hwupload
    building_basement:
      - rtsp://[REDACTED]:[REDACTED]@nvr001.building.sy3.example.invalid/unicast/c4/s0/live#video=copy#backchannel=0#media=video
    building_ground:
      - rtsp://[REDACTED]:[REDACTED]@nvr001.building.sy3.example.invalid/unicast/c2/s0/live#video=copy#backchannel=0#media=video
    building_level_1:
      - rtsp://[REDACTED]:[REDACTED]@nvr001.building.sy3.example.invalid/unicast/c1/s0/live#video=copy#backchannel=0#media=video
    building_street:
      - rtsp://[REDACTED]:[REDACTED]@nvr001.building.sy3.example.invalid/unicast/c3/s0/live#video=copy#backchannel=0#media=video
    foyer:
      - ffmpeg:rtsp://[REDACTED]:[REDACTED]@foyer.security.sy3.example.invalid/11#video=copy#audio=opus#audio=aac
    l2stairs:
      - ffmpeg:rtsp://[REDACTED]:[REDACTED]@l2stairs.security.sy3.example.invalid/11#video=copy#audio=opus#audio=aac
    livingptz:
      - ffmpeg:rtsp://[REDACTED]:[REDACTED]@livingptz.security.sy3.example.invalid:80/videoMain#input=cudartspinput#video=cudahevcvideo#audio=opus#audio=aac
    masterbed:
      - ffmpeg:rtsp://[REDACTED]:[REDACTED]@masterbed.security.sy3.example.invalid/#video=copy#audio=opus#audio=aac
    officedesks:
      - ffmpeg:rtsp://[REDACTED][REDACTED]@officedesks.security.sy3.example.invalid/0#video=copy
    officeentry:
      - ffmpeg:rtsp://[REDACTED][REDACTED]@officeentry.security.sy3.example.invalid/0#video=copy
    # storesptz:
    # - ffmpeg:rtsp://[REDACTED]:[REDACTED]@storesptz.security.sy3.example.invalid:80/videoMain#input=cudartspinput#video=cudahevcvideo#audio=opus#audio=aac
    abc:
      - ffmpeg:[REDACTED]#audio=opus#audio=aac#input=hlsrealtime#video=cudahevcvideo
    cnn:
      - ffmpeg:[REDACTED]#audio=opus#audio=aac#input=hlsrealtime#video=cudahevcvideo
    cnninternational:
      - ffmpeg:[REDACTED]#audio=opus#audio=aac#input=hlsrealtime#video=cudahevcvideo
    bbcworld:
      - ffmpeg:[REDACTED]#audio=opus#audio=aac#input=hlsrealtime#video=cudahevcvideo
    bbcnews:
      - ffmpeg:[REDACTED]#audio=opus#audio=aac#input=hlsrealtime#video=cudahevcvideo
    abch264:
      - ffmpeg:abc#audio=opus#audio=aac#video=h264#hardware
    cnnh264:
      - ffmpeg:cnn#audio=opus#audio=aac#video=h264#hardware
    bbcworldh264:
      - ffmpeg:bbcworld#audio=opus#audio=aac#video=h264#hardware
    bbcnewsh264:
      - ffmpeg:bbcnews#audio=opus#audio=aac#video=h264#hardware
    cam006:
      - ffmpeg:rtsp://[REDACTED]:[REDACTED]@cam006.security.sy3.example.invalid/live/main#input=cudartspinput#video=cudahevcvideo#audio=opus#audio=aac
    webcam_sydney:
      - ffmpeg:rtsp://[REDACTED]:[REDACTED]@cam005.security.sy3.example.invalid/h264_stream#video=copy
    webcam_sydney2:
      - ffmpeg:rtsp://[REDACTED]:[REDACTED]@cam004.security.sy3.example.invalid/live/main#video=copy
    cam006h264:
      - ffmpeg:cam006#video=h264#hardware
    webcam_sydneyh264:
      - ffmpeg:webcam_sydney#video=h264#hardware
    webcam_sydney2h264:
      - ffmpeg:webcam_sydney2#video=h264#hardware
    webcam_iss:
      - echo:yt-dlp --print "ffmpeg:%(urls)s#input=hlsrealtime#video=cudahevcvideo#audio=opus#hardware"
        https://www.youtube.com/watch?v=jPTD2gnZFUw
    webcam_issh264:
      - ffmpeg:webcam_iss#audio=opus#audio=aac#video=h264#hardware
    # webcam_issh264:
    # - echo:yt-dlp --print "ffmpeg:%(urls)s#input=hlsrealtime#video=cudah264video#audio=opus#hardware"
    #   https://www.youtube.com/watch?v=jPTD2gnZFUw
    webcam_iss2:
      - echo:yt-dlp --print "ffmpeg:%(urls)s#input=hlsrealtime#video=cudahevcvideo#audio=opus#hardware"
        https://www.youtube.com/watch?v=P9C25Un7xaM
    webcam_iss2h264:
      - ffmpeg:webcam_iss2#audio=opus#audio=aac#video=h264#hardware
    # webcam_iss2h264:
    # - echo:yt-dlp --print "ffmpeg:%(urls)s#input=hlsrealtime#video=cudah264video#audio=opus#hardware"
    #   https://www.youtube.com/watch?v=P9C25Un7xaM
    webcam_sydney3:
      - echo:yt-dlp --print "ffmpeg:%(urls)s#input=hlsrealtime#video=cudahevcvideo#audio=opus#hardware"
        https://www.youtube.com/watch?v=KPrrWB1eo1I
    webcam_sydney3h264:
      - ffmpeg:webcam_sydney3#audio=opus#audio=aac#video=h264#hardware
    # webcam_sydney3h264:
    # - echo:yt-dlp --print "ffmpeg:%(urls)s#input=hlsrealtime#video=cudah264video#audio=opus#hardware"
    #   https://www.youtube.com/watch?v=KPrrWB1eo1I
    webcam_sydney4:
      - echo:yt-dlp --print "ffmpeg:%(urls)s#input=hlsrealtime#video=cudahevcvideo#audio=opus#hardware"
        https://www.youtube.com/watch?v=sWWCy2WCjRA
    webcam_sydney4h264:
      - ffmpeg:webcam_sydney4#audio=opus#audio=aac#video=h264#hardware
    # webcam_sydney4h264:
    # - echo:yt-dlp --print "ffmpeg:%(urls)s#input=hlsrealtime#video=cudah264video#audio=opus#hardware"
    #   https://www.youtube.com/watch?v=sWWCy2WCjRA
    # mosaic:
    # - exec:ffmpeg -loglevel warning -y -thread_queue_size 1024 -hwaccel cuda -hwaccel_output_format
    #   cuda -c:v hevc_cuvid -rtsp_transport tcp -i rtsp://localhost:8554/abc -thread_queue_size
    #   1024 -hwaccel cuda -hwaccel_output_format cuda -c:v hevc_cuvid -rtsp_transport
    #   tcp -i rtsp://localhost:8554/cnn -thread_queue_size 1024 -hwaccel cuda -hwaccel_output_format
    #   cuda -c:v hevc_cuvid -rtsp_transport tcp -i rtsp://localhost:8554/bbcnews -thread_queue_size
    #   1024 -hwaccel cuda -hwaccel_output_format cuda -c:v hevc_cuvid -rtsp_transport
    #   tcp -i rtsp://localhost:8554/webcam_sydney -thread_queue_size 1024 -thread_queue_size 1024 -i https://radio.production.city/listen/production_city_radio/radio.mp3
    #   -filter_complex " [0:v]hwdownload,format=nv12,scale=640:360,format=yuv420p[v0];
    #   [1:v]hwdownload,format=nv12,scale=640:360,format=yuv420p[v1]; [2:v]hwdownload,format=nv12,scale=640:360,format=yuv420p[v2];
    #   [3:v]hwdownload,format=nv12,scale=640:360,format=yuv420p[v3]; [v0][v1]hstack[top];
    #   [v2][v3]hstack[bottom]; [top][bottom]vstack[stacked]; [stacked]format=nv12,hwupload_cuda[video] "
    #   -map "[video]" -c:v h264_nvenc -preset p2 -profile:v high -level:v 4.1 -r 15
    #   -map 4:a:0 -c:a:0 libopus -b:a:0 128k -metadata:s:a:0 language=eng -disposition:a:0 default
    #   -map 0:a:0 -c:a:1 libopus -b:a:1 128k -metadata:s:a:1 language=eng
    #   -map 1:a:0 -c:a:2 libopus -b:a:2 128k -metadata:s:a:2 language=eng
    #   -map 2:a:0 -c:a:3 libopus -b:a:3 128k -metadata:s:a:3 language=eng
    #   -map 0:s? -map 1:s? -map 2:s? -map 3:s?
    #   -map_metadata 4
    #   -c:s copy
    #   -f mpegts pipe:1
    mosaic:
      - exec:/usr/lib/ffmpeg/7.0/bin/ffmpeg -loglevel warning -y -thread_queue_size 1024 -hwaccel cuda -hwaccel_output_format
        cuda -c:v hevc_cuvid -rtsp_transport tcp -i rtsp://localhost:8554/abc -thread_queue_size
        1024 -hwaccel cuda -hwaccel_output_format cuda -c:v hevc_cuvid -rtsp_transport
        tcp -i rtsp://localhost:8554/cnn -thread_queue_size 1024 -hwaccel cuda -hwaccel_output_format
        cuda -c:v hevc_cuvid -rtsp_transport tcp -i rtsp://localhost:8554/bbcnews
        -thread_queue_size 1024 -hwaccel cuda -hwaccel_output_format cuda -c:v hevc_cuvid
        -rtsp_transport tcp -i rtsp://localhost:8554/webcam_sydney -thread_queue_size
        1024 -thread_queue_size 1024 -i https://radio.production.city/listen/production_city_radio/radio.mp3
        -filter_complex " [0:v]hwdownload,format=nv12,scale=640:360,format=yuv420p[v0];
        [1:v]hwdownload,format=nv12,scale=640:360,format=yuv420p[v1]; [2:v]hwdownload,format=nv12,scale=640:360,format=yuv420p[v2];
        [3:v]hwdownload,format=nv12,scale=640:360,format=yuv420p[v3]; [v0][v1]hstack[top];
        [v2][v3]hstack[bottom]; [top][bottom]vstack[stacked]; [stacked]format=nv12,hwupload_cuda[video]
        " -map "[video]" -c:v h264_nvenc -preset p2 -profile:v high -level:v 4.1 -r
        15 -map 4:a:0 -c:a:0 libopus -b:a:0 128k -metadata:s:a:0 language=eng -disposition:a:0
        default -map 0:s? -map 1:s? -map 2:s? -map 3:s? -map_metadata 4 -c:s copy
        -f mpegts pipe:1
  ffmpeg:
    cudartspinput: -hwaccel cuda -hwaccel_output_format cuda -fflags nobuffer -flags
      low_delay -timeout 5000000 -rtsp_flags prefer_tcp -i {input}
    cudahevcvideo: -map 0:v:0? -c:v:0 hevc_nvenc -b:v 6000k -g 100 -no-scenecut 1
      -bf 0 -profile:v main -level:v 4.1 -preset:v p2 -tune:v ll -tag:v hvc1 -c:s
      copy -c:d copy -movflags +faststart -metadata:s:v:0 language=eng -crf 23
    cudah264video: -map 0:v:0? -c:v:0 h264_nvenc -g 50 -bf 0 -profile:v:0 high -level:v:0
      auto -preset:v:0 p2 -tune:v:1 ull
    hevcinput: -loglevel info -hwaccel cuda -hwaccel_output_format cuda -rtsp_transport
      tcp -i {input}
    hevcoutput: -map_metadata -1 -c:v hevc_nvenc -g 50 -profile:v main -level:v auto
      -preset:v p2 -tune:v ull -multipass disabled -movflags +faststart -zerolatency
      1 -tag:v hvc1
    hevccamout: -c:v hevc_nvenc
    hevcboxcaminput: -hwaccel cuda -hwaccel_output_format cuda -r 20 -rtsp_transport
      tcp -i {input}
    hlshevcoutput: -map_metadata -1 -c:v hevc_nvenc -g 50 -profile:v main -level:v
      auto -preset:v p2 -tune:v ull -multipass disabled -movflags +faststart -zerolatency
      1 -tag:v hvc1
    hlsrealtime: -hwaccel cuda -hwaccel_output_format cuda -extra_hw_frames 2 -fflags
      nobuffer -flags low_delay -rtbufsize 4M -fflags +igndts -fflags +nofillin -fflags
      +genpts -avoid_negative_ts +make_zero -re -i {input}
  webrtc:
    listen: :8555    # address of your local server and port (TCP/UDP)
    candidates:
      - stun:8555
  publish:
    webcam_sydneyh264:
      - rtmps://a.rtmp.youtube.com/live2/[REDACTED]
      - rtmp://b.rtmp.youtube.com/live2/[REDACTED]?backup=1
version: 0.15-1
camera_groups:
  Building:
    order: 1
    icon: LuBuilding
    cameras:
      - building_basement
      - building_ground
      - building_intercom
      - building_level_1
      - building_street
      - cam006
  Apartment:
    order: 2
    icon: LuWarehouse
    cameras:
      - foyer
      - l2stairs
      - livingptz
      - masterbed
  Webcams:
    order: 3
    icon: LuCamera
    cameras:
      - webcam_sydney
      - webcam_sydney2
notifications:
  enabled: 'true'
  email: [email protected]

docker-compose file or Docker CLI command

version: "3.9"
x-default-opts: &default-opts
  logging:
    driver: gelf
    options:
      gelf-address: udp://log001.public-servers.sy3.example.invalid:12201
      gelf-compression-type: none
      tag: "{{.ImageName}}/{{.Name}}/{{.ID}}"
      labels: location,purpose,environment,service,cluster,domain

services:
  # Traefik
  traefik:
    <<: *default-opts
    image: traefik:latest
    # sysctls:
    #   - net.ipv6.conf.all.disable_ipv6=0
    container_name: traefik
    restart: unless-stopped
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: 1
              capabilities: [gpu]
        limits:
          cpus: "8.00"
          memory: 2G
      restart_policy:
        condition: unless-stopped
        delay: 5s
    mem_limit: 2G
    ulimits:
      memlock:
        soft: -1
        hard: -1
    command:
      - --log
      # Enable the Traefik api, for configurations and errors
      - --api
      - --api.insecure=true
      # Enable the Dashboard and API
      - --accesslog.format=json
      - --accesslog.fields.defaultmode=keep
      - --accesslog.fields.headers.defaultmode=keep
      - --providers.docker=true
      - --providers.docker.exposedbydefault=false
      - --entryPoints.http.address=:80
      - --entryPoints.http2.address=:443
      # - --metrics.prometheus.addrouterslabels=true
      # - --metrics.prometheus.addServicesLabels=true
      # - --entryPoints.metrics.address=:8082
      # - --metrics.prometheus.entryPoint=metrics
      # Timeouts
      - --entrypoints.http.transport.respondingTimeouts.readTimeout=300
      - --entrypoints.http2.transport.respondingTimeouts.readTimeout=300
      # - --entrypoints.http2.http2.advertisedport=443
      # - --certificatesresolvers.${DNS_PROVIDER}.acme.caServer=https://acme-staging.api.letsencrypt.org/directory
      - --certificatesresolvers.${DNS_PROVIDER}.acme.caServer=https://acme-v02.api.letsencrypt.org/directory
      - --certificatesresolvers.${DNS_PROVIDER}.acme.dnschallenge=true
      - --certificatesresolvers.${DNS_PROVIDER}.acme.dnschallenge.provider=${DNS_PROVIDER}
      - --certificatesresolvers.${DNS_PROVIDER}.acme.email=${EMAIL}
      - --certificatesresolvers.${DNS_PROVIDER}.acme.storage=/certificates/acme.json
      - --certificatesresolvers.${DNS_PROVIDER}.acme.keytype=EC384
      - --certificatesresolvers.${DNS_PROVIDER}.acme.dnschallenge.disablePropagationCheck=true
      - --certificatesresolvers.${DNS_PROVIDER}.acme.dnschallenge.delayBeforeCheck=30
      - --log.level=INFO
      # Regex Blocker Plugin
      # Mostly to block Apple
      - "--experimental.plugins.blockpath.moduleName=github.com/traefik/plugin-blockpath"
      - "--experimental.plugins.blockpath.version=v0.2.1"
    environment:
      - CLOUDFLARE_EMAIL
      - CLOUDFLARE_API_KEY
    volumes:
      - /var/run/docker.sock:/var/run/docker.sock:ro
      - /data/certificates:/certificates
    network_mode: host
    labels:
      - location=sy3
      - purpose=frigate
      - environment=production
      - service=traefik
      - cluster=
      - domain=${DOMAIN?Unknown}
      #===================================================== traefik =========================================================
      - traefik.enable=true
      # - traefik.docker.network=traefik
      # Use the custom label "traefik.constraint-label=traefik-public"
      # This public Traefik will only use services with this label
      # That way you can add other internal Traefik instances per stack if needed
      - traefik.constraint-label=traefik-public
      # Redirector
      - traefik.http.middlewares.https-redirect.redirectscheme.scheme=https
      - traefik.http.middlewares.https-redirect.redirectscheme.permanent=true
      # STS Headers
      # It can be re-used by other stacks in other Docker Compose files
      - traefik.http.middlewares.servicests.headers.stsincludesubdomains=true
      - traefik.http.middlewares.servicests.headers.stspreload=true
      - traefik.http.middlewares.servicests.headers.stsseconds=31536000
      - traefik.http.middlewares.servicests.headers.isdevelopment=false
      # Reporting Headers
      - 'traefik.http.middlewares.reporturi.headers.customresponseheaders.Report-To={"group":"default","max_age":31536000,"endpoints":[{"url":"https://[REDACTED].report-uri.com/a/d/g"}],"include_subdomains":true}'
      - 'traefik.http.middlewares.reporturi.headers.customresponseheaders.NEL={"report_to":"default","max_age":31536000,"include_subdomains":true}'
      #===================================================== middlewares =========================================================
      - traefik.http.middlewares.gzip.compress=true
      - traefik.http.middlewares.sslheader.headers.customrequestheaders.X-Forwarded-Proto=https
      - traefik.http.middlewares.limit.buffering.memRequestBodyBytes=262144000
      - traefik.http.middlewares.limit.buffering.maxRequestBodyBytes=262144000
      # Blocked Apple Paths
      - 'traefik.http.middlewares.block-apple.plugin.blockpath.regex=^\/\d{3}-\d{3}(?:-\d{4})?$$'
      # CORS ALL
      - traefik.http.middlewares.serviceheaders.headers.accesscontrolalloworiginlist=*
      #===================================================== api =========================================================
      - traefik.http.routers.traefik-public-http.rule=(Host(`traefik.${DOMAIN}`) && (ClientIP(`[REDACTED_IPv4]/25`) || ClientIP(`[REDACTED_IPv6]`) || ClientIP(`[REDACTED_IPv4]/25`) || ClientIP(`[REDACTED_IPv6]`) || ClientIP(`[REDACTED_IPv4]/25`) || ClientIP(`[REDACTED_IPv6]`) || ClientIP(`[REDACTED_IPv4]/25`) || ClientIP(`[REDACTED_IPv6]`) || ClientIP(`[REDACTED_IPv4]/25`) || ClientIP(`[REDACTED_IPv6]`) || ClientIP(`[REDACTED_IPv4]/25`) || ClientIP(`[REDACTED_IPv6]`) || ClientIP(`[REDACTED_IPv4]`) || ClientIP(`[REDACTED_IPv6]`)))
      - traefik.http.routers.traefik-public-http.entrypoints=http
      - traefik.http.routers.traefik-public-http.middlewares=servicests,block-apple,https-redirect,reporturi
      # traefik-https the actual router using HTTPS
      # Uses the environment variable DOMAIN
      - traefik.http.routers.traefik-public-https.rule=(Host(`traefik.${DOMAIN}`) && (ClientIP(`[REDACTED_IPv4]/25`) || ClientIP(`[REDACTED_IPv6]`) || ClientIP(`[REDACTED_IPv4]/25`) || ClientIP(`[REDACTED_IPv6]`) || ClientIP(`[REDACTED_IPv4]/25`) || ClientIP(`[REDACTED_IPv6]`) || ClientIP(`[REDACTED_IPv4]/25`) || ClientIP(`[REDACTED_IPv6]`) || ClientIP(`[REDACTED_IPv4]/25`) || ClientIP(`[REDACTED_IPv6]`) || ClientIP(`[REDACTED_IPv4]/25`) || ClientIP(`[REDACTED_IPv6]`) || ClientIP(`[REDACTED_IPv4]`) || ClientIP(`[REDACTED_IPv6]`)))
      - traefik.http.routers.traefik-public-https.entrypoints=http2
      - traefik.http.routers.traefik-public-https.tls=true
      # Use the special Traefik service api@internal with the web UI/Dashboard
      - traefik.http.routers.traefik-public-https.service=api@internal
      # Use the "le" (Let's Encrypt) resolver created below
      - traefik.http.routers.traefik-public-https.tls.certresolver=${DNS_PROVIDER}
      # Enable HTTP Basic auth, using the middleware created above
      # - traefik.http.routers.traefik-public-https.middlewares=admin-auth
      # Define the port inside of the Docker service to use
      - traefik.http.services.traefik-public.loadbalancer.server.port=8080

  frigate:
    <<: *default-opts
    privileged: true # this may not be necessary for all setups
    restart: unless-stopped
    image: ghcr.io/blakeblackshear/frigate:0.15.0-rc1-tensorrt
    # sysctls:
    #   - net.ipv6.conf.all.disable_ipv6=0
    shm_size: "2048mb" # update for your cameras based on calculation above
    cap_add:
      - CAP_PERFMON
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: 1
              capabilities: [gpu]
        limits:
          cpus: "8.00"
          memory: 24G
      restart_policy:
        condition: unless-stopped
        delay: 5s
    mem_limit: 24G
    ulimits:
      memlock:
        soft: -1
        hard: -1
    entrypoint: /bin/sh -c "if ! [ -x /usr/local/bin/yt-dlp ]; then curl -L https://github.com/yt-dlp/yt-dlp/releases/latest/download/yt-dlp -o /usr/local/bin/yt-dlp && chmod a+rx /usr/local/bin/yt-dlp || echo 'yt-dlp download failed'; fi && exec /init"
    environment:
      - TZ=Australia/Sydney
      - NVIDIA_VISIBLE_DEVICES=all
      - NVIDIA_DRIVER_CAPABILITIES=all
      - NVIDIA_REQUIRE_CUDA=cuda>=12.0
      - FRIGATE_MQTT_HOST
      - FRIGATE_MQTT_USER
      - FRIGATE_MQTT_PASSWORD
      - FRIGATE_RTSP_USER
      - FRIGATE_RTSP_PASSWORD
      - FRIGATE_OPENAI_API_KEY
      - FRIGATE_OPENAI_PROJECT
      - CAMERA_RTSP_USER
      - CAMERA_RTSP_PASSWORD
      - INTERCOM_RTSP_USER
      - INTERCOM_RTSP_PASSWORD
      - BUILDINGNVR_RTSP_USER
      - BUILDINGNVR_RTSP_PASSWORD
      - PLUS_API_KEY
      - YOLO_MODELS=${YOLO_MODELS:-yolov7-640,yolov7-tiny-416,yolov7-tiny-288}
    devices:
      - /dev/bus/usb:/dev/bus/usb # passes the USB Coral, needs to be modified for other versions
      - /dev/dri/renderD128 # for intel hwaccel, needs to be updated for your hardware
      - /dev/dri/renderD129 # for intel hwaccel, needs to be updated for your hardware
    volumes:
      - "/etc/timezone:/etc/timezone:ro"
      - "/etc/localtime:/etc/localtime:ro"
      - "/data/frigate/config:/config:rw"
      - "/mnt/recordings:/media/frigate:rw"
      # - "/data/frigate/media:/media/frigate:rw"
      - type: tmpfs # Optional: 1GB of memory, reduces SSD/SD Card wear
        target: /tmp/cache
        tmpfs:
          size: 2GB
    # network_mode: "host"
    # networks:
    #   - proxy
    # extra_hosts:
    #   - "host.docker.internal:host-gateway"
    # ports:
    #   - "5000:5000"
    #   - "8554:8554" # RTSP feeds
    #   - "8555:8555/tcp" # WebRTC over tcp
    #   - "8555:8555/udp" # WebRTC over udp
    network_mode: host
    labels:
      - traefik.enable=true
      - traefik.constraint-label=traefik-public

      # Middleware for Go2RTC Stream Headers
      - "traefik.http.middlewares.go2rtc-stream-headers.headers.customrequestheaders.Transfer-Encoding=chunked"
      - "traefik.http.middlewares.go2rtc-stream-headers.headers.customresponseheaders.Transfer-Encoding=chunked"
      - "traefik.http.middlewares.go2rtc-stream-headers.headers.customresponseheaders.Connection=keep-alive"

      # Middleware for CORS
      - "traefik.http.middlewares.general-cors.headers.accesscontrolalloworiginlist=*"

      # Middleware to handle WebSocket
      - "traefik.http.middlewares.websocket.headers.customrequestheaders.Connection=Upgrade"
      - "traefik.http.middlewares.websocket.headers.customrequestheaders.Upgrade=websocket"

      # Strip Prefix Middleware
      - "traefik.http.middlewares.go2rtc-strip-webrtc-prefix.stripprefix.prefixes=/live/webrtc"

      # Routers for Frigate
      - "traefik.http.routers.frigate-http-internal.rule=(Host(`${DOMAIN}`) && (PathPrefix(`/`) && !PathPrefix(`/live/webrtc`)) && (ClientIP(`[REDACTED_IPv4]/25`) || ClientIP(`[REDACTED_IPv6]`) || ClientIP(`[REDACTED_IPv4]/25`) || ClientIP(`[REDACTED_IPv6]`) || ClientIP(`[REDACTED_IPv4]/25`) || ClientIP(`[REDACTED_IPv6]`) || ClientIP(`[REDACTED_IPv4]/25`) || ClientIP(`[REDACTED_IPv6]`) || ClientIP(`[REDACTED_IPv4]/25`) || ClientIP(`[REDACTED_IPv6]`) || ClientIP(`[REDACTED_IPv4]/25`) || ClientIP(`[REDACTED_IPv6]`) || ClientIP(`[REDACTED_IPv4]`) || ClientIP(`[REDACTED_IPv6]`)))"
      - "traefik.http.routers.frigate-http-internal.entrypoints=http"
      - "traefik.http.routers.frigate-http-internal.middlewares=servicests,block-apple,https-redirect,reporturi"
      - "traefik.http.routers.frigate-http-internal.service=frigate"

      - "traefik.http.routers.frigate-https-internal.rule=(Host(`${DOMAIN}`) && (PathPrefix(`/`) && !PathPrefix(`/live/webrtc`)) && (ClientIP(`[REDACTED_IPv4]/25`) || ClientIP(`[REDACTED_IPv6]`) || ClientIP(`[REDACTED_IPv4]/25`) || ClientIP(`[REDACTED_IPv6]`) || ClientIP(`[REDACTED_IPv4]/25`) || ClientIP(`[REDACTED_IPv6]`) || ClientIP(`[REDACTED_IPv4]/25`) || ClientIP(`[REDACTED_IPv6]`) || ClientIP(`[REDACTED_IPv4]/25`) || ClientIP(`[REDACTED_IPv6]`) || ClientIP(`[REDACTED_IPv4]/25`) || ClientIP(`[REDACTED_IPv6]`) || ClientIP(`[REDACTED_IPv4]`) || ClientIP(`[REDACTED_IPv6]`)))"
      - "traefik.http.routers.frigate-https-internal.entrypoints=http2"
      - "traefik.http.routers.frigate-https-internal.service=frigate"
      - "traefik.http.routers.frigate-https-internal.tls.certresolver=${DNS_PROVIDER}"
      - "traefik.http.routers.frigate-https-internal.middlewares=gzip,limit,reporturi,block-apple,general-cors"

      # HTTP Router for Go2RTC
      - "traefik.http.routers.go2rtc-http.rule=(Host(`${DOMAIN}`) && PathPrefix(`/live/webrtc`) && (ClientIP(`[REDACTED_IPv4]/25`) || ClientIP(`[REDACTED_IPv6]`) || ClientIP(`[REDACTED_IPv4]/25`) || ClientIP(`[REDACTED_IPv6]`) || ClientIP(`[REDACTED_IPv4]/25`) || ClientIP(`[REDACTED_IPv6]`) || ClientIP(`[REDACTED_IPv4]/25`) || ClientIP(`[REDACTED_IPv6]`) || ClientIP(`[REDACTED_IPv4]/25`) || ClientIP(`[REDACTED_IPv6]`) || ClientIP(`[REDACTED_IPv4]/25`) || ClientIP(`[REDACTED_IPv6]`) || ClientIP(`[REDACTED_IPv4]`) || ClientIP(`[REDACTED_IPv6]`)))"
      - "traefik.http.routers.go2rtc-http.entrypoints=http"
      - "traefik.http.routers.go2rtc-http.middlewares=go2rtc-stream-headers,websocket,go2rtc-strip-webrtc-prefix,general-cors"
      - "traefik.http.routers.go2rtc-http.service=go2rtc"

      # HTTPS Router for Go2RTC
      - "traefik.http.routers.go2rtc-https.rule=(Host(`${DOMAIN}`) && PathPrefix(`/live/webrtc`) && (ClientIP(`[REDACTED_IPv4]/25`) || ClientIP(`[REDACTED_IPv6]`) || ClientIP(`[REDACTED_IPv4]/25`) || ClientIP(`[REDACTED_IPv6]`) || ClientIP(`[REDACTED_IPv4]/25`) || ClientIP(`[REDACTED_IPv6]`) || ClientIP(`[REDACTED_IPv4]/25`) || ClientIP(`[REDACTED_IPv6]`) || ClientIP(`[REDACTED_IPv4]/25`) || ClientIP(`[REDACTED_IPv6]`) || ClientIP(`[REDACTED_IPv4]/25`) || ClientIP(`[REDACTED_IPv6]`) || ClientIP(`[REDACTED_IPv4]`) || ClientIP(`[REDACTED_IPv6]`)))"
      - "traefik.http.routers.go2rtc-https.entrypoints=http2"
      - "traefik.http.routers.go2rtc-https.middlewares=go2rtc-stream-headers,websocket,go2rtc-strip-webrtc-prefix,general-cors"
      - "traefik.http.routers.go2rtc-https.service=go2rtc"
      - "traefik.http.routers.go2rtc-https.tls.certresolver=${DNS_PROVIDER}"

      # Services
      - "traefik.http.services.frigate.loadbalancer.server.port=8971"
      - "traefik.http.services.go2rtc.loadbalancer.server.port=1984"

  platerecognizer:
    <<: *default-opts
    restart: unless-stopped
    privileged: true
    image: platerecognizer/alpr-stream:gpu
    # sysctls:
    #   - net.ipv6.conf.all.disable_ipv6=0
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: 1
              capabilities: [gpu]
        limits:
          cpus: "8.00"
          memory: 24G
      restart_policy:
        condition: unless-stopped
        delay: 5s
    mem_limit: 24G
    ulimits:
      memlock:
        soft: -1
        hard: -1
    environment:
      - TZ=Australia/Sydney
      - NVIDIA_VISIBLE_DEVICES=all
      - NVIDIA_DRIVER_CAPABILITIES=all
      - NVIDIA_REQUIRE_CUDA=cuda>=12.0
      - LICENSE_KEY=[REDACTED]
      - TOKEN=[REDACTED]
      # - OPENCV_FFMPEG_CAPTURE_OPTIONS=rtsp_transport;udp
      - LOGGING=10
    volumes:
      - "/etc/timezone:/etc/timezone:ro"
      - "/etc/localtime:/etc/localtime:ro"
      - "/data/platerecognizer/config:/user-data:rw"
    network_mode: host

Relevant Frigate log output

2025-01-27 11:57:19.472593475  [2025-01-27 11:57:19] frigate.detectors.plugins.tensorrt ERROR   : 1: [stdArchiveReader.cpp::StdArchiveReader::32] Error Code 1: Serialization (Serialization assertion magicTagRead == kMAGIC_TAG failed.Magic tag does not match)
2025-01-27 11:57:19.498204107  [2025-01-27 11:57:19] frigate.detectors.plugins.tensorrt ERROR   : 4: [runtime.cpp::deserializeCudaEngine::66] Error Code 4: Internal Error (Engine deserialization failed.)
2025-01-27 11:57:19.507030566  Process detector:tensorrt:
2025-01-27 11:57:19.507033607  Traceback (most recent call last):
2025-01-27 11:57:19.507035072    File "/usr/lib/python3.9/multiprocessing/process.py", line 315, in _bootstrap
2025-01-27 11:57:19.507036117      self.run()
2025-01-27 11:57:19.507037315    File "/opt/frigate/frigate/util/process.py", line 41, in run_wrapper
2025-01-27 11:57:19.507040716      return run(*args, **kwargs)
2025-01-27 11:57:19.507042385    File "/usr/lib/python3.9/multiprocessing/process.py", line 108, in run
2025-01-27 11:57:19.507043823      self._target(*self._args, **self._kwargs)
2025-01-27 11:57:19.507062542    File "/opt/frigate/frigate/object_detection.py", line 121, in run_detector
2025-01-27 11:57:19.507063888      object_detector = LocalObjectDetector(detector_config=detector_config)
2025-01-27 11:57:19.507064999    File "/opt/frigate/frigate/object_detection.py", line 68, in __init__
2025-01-27 11:57:19.507066051      self.detect_api = create_detector(detector_config)
2025-01-27 11:57:19.507085887    File "/opt/frigate/frigate/detectors/__init__.py", line 18, in create_detector
2025-01-27 11:57:19.507086982      return api(detector_config)
2025-01-27 11:57:19.507110732    File "/opt/frigate/frigate/detectors/plugins/tensorrt.py", line 244, in __init__
2025-01-27 11:57:19.507111912      self.input_shape = self._get_input_shape()
2025-01-27 11:57:19.507113198    File "/opt/frigate/frigate/detectors/plugins/tensorrt.py", line 118, in _get_input_shape
2025-01-27 11:57:19.507114157      binding = self.engine[0]
2025-01-27 11:57:19.507115212  TypeError: 'NoneType' object is not subscriptable
2025-01-27 11:57:19.507116378  Exception ignored in: <function TensorRtDetector.__del__ at 0x7f4fa7b54940>
2025-01-27 11:57:19.507117433  Traceback (most recent call last):
2025-01-27 11:57:19.507118549    File "/opt/frigate/frigate/detectors/plugins/tensorrt.py", line 262, in __del__
2025-01-27 11:57:19.507132191      if self.outputs is not None:
2025-01-27 11:57:19.507133398  AttributeError: 'TensorRtDetector' object has no attribute 'outputs'

Relevant go2rtc log output

N/A

Operating system

Debian

Install method

Docker Compose

Network connection

Wired

Camera make and model

N/A

Screenshots of the Frigate UI's System metrics pages

Not possible - can't start frigate

Any other information that may be helpful

No response

[hawkeye217]

This is not a bug.

If you want to use a Frigate+ yolonas model with your nvidia GPU, you need to use the onnx detector type.