[Bug]: Homepage crash #11818

weitheng · 2024-06-08T13:34:52Z

weitheng
Jun 8, 2024

Describe the problem you are having

When I try to load the homepage, most of the time I end up with seeing the thumbnails for a split second before the page black out. On inspect element, I see WebSocket connection to 'ws://192.168.XX.XXX:8080/ws' failed: Received a broken close frame containing a reserved status code.

I suspect it's because I have too many cameras (26) on Frigate, and it's hogging too much memory that the browser just decided to kill it. I have tried on both Safari and Microsoft Edge and am experiencing the same problem, in fact I get a more sluggish performance on Microsoft Edge.

If I try to go to the other page directly like the review or export page, they work, just not the home page.

Steps to reproduce

Set up 26 cameras on Frigate, and try to load the homepage.

Version

v0.14 beta 2

Frigate config file

mqtt:
  # Required: host name
  host: XXX
  # Optional: port (default: shown below)
  port: 1883
  # Optional: topic prefix (default: shown below)
  # NOTE: must be unique if you are running multiple instances
  topic_prefix: XXX
  # Optional: client id (default: shown below)
  # NOTE: must be unique if you are running multiple instances
  client_id: XXX
  # Optional: user
  user: hassio
  # Optional: password
  # NOTE: MQTT password can be specified with an environment variables that must begin with 'FRIGATE_'.
  #       e.g. password: '{FRIGATE_MQTT_PASSWORD}'
  password: XXX
  # Optional: tls_ca_certs for enabling TLS using self-signed certs (default: None)
#  tls_ca_certs: /path/to/ca.crt
  # Optional: tls_client_cert and tls_client key in order to use self-signed client
  # certificates (default: None)
  # NOTE: certificate must not be password-protected
  #       do not set user and password when using a client certificate
#  tls_client_cert: /path/to/client.crt
#  tls_client_key: /path/to/client.key
  # Optional: tls_insecure (true/false) for enabling TLS verification of
  # the server hostname in the server certificate (default: None)
#  tls_insecure: false
  # Optional: interval in seconds for publishing stats (default: shown below)
  stats_interval: 5

go2rtc:
  streams:
    Gate:
      - rtsp://XXX:554/cam/realmonitor?channel=1&subtype=0 # <- stream which supports video & aac audio. This is only supported for rtsp streams, http must use ffmpeg
      - ffmpeg:Gate#audio=opus   # <- copy of the stream which transcodes audio to opus
    Gate_sub:
      - rtsp://XXX:554/cam/realmonitor?channel=1&subtype=1 # <- stream which supports video & aac audio. This is only supported for rtsp streams, http must use ffmpeg
    GateWide:
      - rtsp://[email protected]:554/stream1 # <- stream which supports video & aac audio. This is only supported for rtsp streams, http must use ffmpeg
    GateWide_sub:
      - rtsp://[email protected]:554/stream2 # <- stream which supports video & aac audio. This is only supported for rtsp streams, http must use ffmpeg
    GateExtra:
      - rtsp://[email protected]:554/cam/realmonitor?channel=1&subtype=0 # <- stream which supports video & aac audio. This is only supported for rtsp streams, http must use ffmpeg
    GateExtra_sub:
      - rtsp://[email protected]:554/cam/realmonitor?channel=1&subtype=1 # <- stream which supports video & aac audio. This is only supported for rtsp streams, http must use ffmpeg

# Optional: Detectors configuration. Defaults to a single CPU detector
detectors:
  tensorrt:
    type: tensorrt
    device: 0 #This is the default, select the first GPU
#  coral:
#    type: edgetpu
#    device: usb
#    model:
#      path: "/edgetpu_model.tflite"
#      width: 320
#      height: 320
#  cpu1:
#    type: cpu
#  cpu2:
#    type: cpu
#  cpu3:
#    type: cpu
#  cpu4:
#    type: cpu
    # Optional: num_threads value passed to the tflite.Interpreter (default: shown below)
    # This value is only used for CPU types
#    num_threads: 3

# Optional: model modifications
model:
  # Optional: path to the model (default: automatic based on detector) /edgetpu_model.tflite
  path: /config/model_cache/tensorrt/yolov7-320.trt
  input_tensor: nchw
  input_pixel_format: rgb
  width: 320
  height: 320
#/edgetpu_model.tflite
#/spaghettinet_edgetpu_l_compiled.tflite 
  # Optional: path to the labelmap (default: shown below)
#  labelmap_path: /labelmap.txt
  # Required: Object detection model input width (default: shown below)
#  width: 320
  # Required: Object detection model input height (default: shown below)
#  height: 320
  # Optional: Label name modifications. These are merged into the standard labelmap.
#  labelmap:
#    2: vehicle

# Optional: logger verbosity settings
logger:
  # Optional: Default log verbosity (default: shown below)
  default: info
  # Optional: Component specific logger overrides
  logs:
    frigate.event: debug

# Optional: set environment variables
#environment_vars:
#  EXAMPLE_VAR: value

# Optional: birdseye configuration
# NOTE: Can (enabled, mode) be overridden at the camera level
birdseye:
  # Optional: Enable birdseye view (default: shown below)
  enabled: true
  # Optional: Restream birdseye via RTSP (default: shown below)
  # NOTE: Enabling this will set birdseye to run 24/7 which may increase CPU usage somewhat.
  restream: true
  # Optional: Width of the output resolution (default: shown below)
  width: 1280
  # Optional: Height of the output resolution (default: shown below)
  height: 720
  # Optional: Encoding quality of the mpeg1 feed (default: shown below)
  # 1 is the highest quality, and 31 is the lowest. Lower quality feeds utilize less CPU resources.
  quality: 8
  # Optional: Mode of the view. Available options are: objects, motion, and continuous
  #   objects - cameras are included if they have had a tracked object within the last 30 seconds
  #   motion - cameras are included if motion was detected in the last 30 seconds
  #   continuous - all cameras are included always
  mode: objects

# Optional: ffmpeg configuration
ffmpeg:
  # Optional: global ffmpeg args (default: shown below)
  global_args: -hide_banner -loglevel warning -threads 2
  # Optional: global hwaccel args (default: shown below)
  # NOTE: See hardware acceleration docs for your specific device
  hwaccel_args: preset-nvidia-h264 #[]
  # Optional: global input args (default: shown below)
  input_args: preset-rtsp-generic
#-avoid_negative_ts make_zero -fflags +genpts+discardcorrupt -rtsp_transport tcp -timeout 5000000 -use_wallclock_as_timestamps 1
  # Optional: global output args
  output_args:
    # Optional: output args for detect streams (default: shown below)
    detect: -threads 2 -f rawvideo -pix_fmt yuv420p
    # Optional: output args for record streams (default: shown below)
    record: preset-record-generic-audio-aac
#-f segment -segment_time 10 -segment_format mp4 -reset_timestamps 1 -strftime 1 -c copy -an

# Optional: Detect configuration
# NOTE: Can be overridden at the camera level
detect:
  # Optional: width of the frame for the input with the detect role (default: shown below)
  width: 704
  # Optional: height of the frame for the input with the detect role (default: shown below)
  height: 576
  # Optional: desired fps for your camera for the input with the detect role (default: shown below)
  # NOTE: Recommended value of 5. Ideally, try and reduce your FPS on the camera.
  fps: 5
  # Optional: enables detection for the camera (default: True)
  # This value can be set via MQTT and will be updated in startup based on retained value
  enabled: true
  # Optional: Number of frames without a detection before frigate considers an object to be gone. (default: 5x the frame rate)
  max_disappeared: 25
  # Optional: Configuration for stationary object tracking
  stationary:
    # Optional: Frequency for confirming stationary objects (default: shown below)
    # When set to 0, object detection will not confirm stationary objects until movement is detected.
    # If set to 10, object detection will run to confirm the object still exists on every 10th frame.
    interval: 50
    # Optional: Number of frames without a position change for an object to be considered stationary (default: 10x the frame rate or 10s)
    threshold: 100
    # Optional: Define a maximum number of frames for tracking a stationary object (default: not set, track forever)
    # This can help with false positives for objects that should only be stationary for a limited amount of time.
    # It can also be used to disable stationary object tracking. For example, you may want to set a value for person, but leave
    # car at the default.
    # WARNING: Setting these values overrides default behavior and disables stationary object tracking.
    #          There are very few situations where you would want it disabled. It is NOT recommended to
    #          copy these values from the example config into your config unless you know they are needed.
    max_frames:
      # Optional: Default for all object types (default: not set, track forever)
      default: 5000
      # Optional: Object specific values
      objects:
        person: 3000

# Optional: Record configuration
# NOTE: Can be overridden at the camera level
record:
  enabled: true
  # Optional: Number of minutes to wait between cleanup runs (default: shown below)
  # This can be used to reduce the frequency of deleting recording segments from disk if you want to minimize i/o
  expire_interval: 60
  # Optional: Retention settings for recording
  retain:
    # Optional: Number of days to retain recordings regardless of events (default: shown below)
    # NOTE: This should be set to 0 and retention should be defined in events section below
    #       if you only want to retain recordings of events.
    days: 0
    # Optional: Mode for retention. Available options are: all, motion, and active_objects
    #   all - save all recording segments regardless of activity
    #   motion - save all recordings segments with any detected motion
    #   active_objects - save all recording segments with active/moving objects
    # NOTE: this mode only applies when the days setting above is greater than 0
    mode: all
  # Optional: Event recording settings
  events:
    # Optional: Number of seconds before the event to include (default: shown below)
    pre_capture: 40
    # Optional: Number of seconds after the event to include (default: shown below)
    post_capture: 30
    # Optional: Objects to save recordings for. (default: all tracked objects)
    objects:
      - person
      - car
      - bus
      - dog
      - cat
      - motorcycle
      - bicycle
    # Optional: Retention settings for recordings of events
    retain:
      # Required: Default retention days (default: shown below)
      default: 7
      # Optional: Mode for retention. (default: shown below)
      #   all - save all recording segments for events regardless of activity
      #   motion - save all recordings segments for events with any detected motion
      #   active_objects - save all recording segments for event with active/moving objects
      #
      # NOTE: If the retain mode for the camera is more restrictive than the mode configured
      #       here, the segments will already be gone by the time this mode is applied.
      #       For example, if the camera retain mode is "motion", the segments without motion are
      #       never stored, so setting the mode to "all" here won't bring them back.
      mode: active_objects

# Optional: Configuration for the jpg snapshots written to the clips directory for each event
# NOTE: Can be overridden at the camera level
snapshots:
  # Optional: Enable writing jpg snapshot to /media/frigate/clips (default: shown below)
  # This value can be set via MQTT and will be updated in startup based on retained value
  enabled: true
  # Optional: save a clean PNG copy of the snapshot image (default: shown below)
  clean_copy: true
  # Optional: print a timestamp on the snapshots (default: shown below)
  timestamp: true
  # Optional: draw bounding box on the snapshots (default: shown below)
  bounding_box: true
  # Optional: crop the snapshot (default: shown below)
  crop: false
  # Optional: height to resize the snapshot to (default: original size)
#  height: 175
  # Optional: Camera override for retention settings (default: global values)
  retain:
    # Required: Default retention days (default: shown below)
    default: 5

# Required
cameras:
  Foyer:
    birdseye:
      mode: continuous
    ffmpeg:
      inputs:
        - path: rtsp://[email protected]:554/Streaming/channels/102
          roles:
            - detect
        - path: rtsp://[email protected]:554/Streaming/channels/101
          roles:
            - record
    # Optional: timeout for highest scoring image before allowing it
    # to be replaced by a newer image. (default: shown below)
    best_image_timeout: 60
    objects:
      track:
        - person
        - car
        - dog
        - cat
        - motorcycle
        - bus
        - bicycle
      filters:
        car:
          threshold: 0.70
          mask:
            - 940,589,1280,619,1280,262,920,262
            - 880,120,880,65,730,50,705,103
        motorcycle:
          mask:
            - 422,228,436,179,429,124,372,121,349,180,355,226
        person:
          mask:
            - 236,191,255,190,253,155,233,156
    detect:
      width: 1280
      height: 720
      fps: 5
      # Optional: Number of frames without a detection before frigate considers an object to be gone. (default: 5x the frame rate)
      max_disappeared: 50
      # Optional: Configuration for stationary object tracking
      stationary:
        threshold: 100
    motion:
      threshold: 40
#      contour_area: 20
    zones:
      driveway:
        coordinates: 944,720,915,160,877,122,671,102,568,143,0,598

# Optional
ui:
  # Optional: Set the default live mode for cameras in the UI (default: shown below)
  live_mode: mse
  # Optional: Set the time format used.
  # Options are browser, 12hour, or 24hour (default: shown below)
  time_format: 24hour
  # Optional: Set the date style for a specified length.
  # Options are: full, long, medium, short
  # Examples:
  #    short: 2/11/23
  #    medium: Feb 11, 2023
  #    full: Saturday, February 11, 2023
  # (default: shown below).
  date_style: short
  # Optional: Set the time style for a specified length.
  # Options are: full, long, medium, short
  # Examples:
  #    short: 8:14 PM
  #    medium: 8:15:22 PM
  #    full: 8:15:22 PM Mountain Standard Time
  # (default: shown below).
  time_style: medium
  # Optional: Ability to manually override the date / time styling to use strftime format
  # https://www.gnu.org/software/libc/manual/html_node/Formatting-Calendar-Time.html
  # possible values are shown above (default: not set)
  strftime_fmt: '%Y/%m/%d %H:%M'
  timezone: Asia/Kuala_Lumpur

# Optional: in-feed timestamp style configuration
# NOTE: Can be overridden at the camera level
timestamp_style:
  # Optional: Position of the timestamp (default: shown below)
  #           "tl" (top left), "tr" (top right), "bl" (bottom left), "br" (bottom right)
  position: tl
  # Optional: Format specifier conform to the Python package "datetime" (default: shown below)
  #           Additional Examples:
  #             german: "%d.%m.%Y %H:%M:%S"
  format: '%m/%d/%Y %H:%M:%S'
  # Optional: Color of font
  color:
    # All Required when color is specified (default: shown below)
    red: 255
    green: 255
    blue: 255
  # Optional: Line thickness of font (default: shown below)
  thickness: 1
  # Optional: Effect of lettering (default: shown below)
  #           None (No effect),
  #           "solid" (solid background in inverse color of font)
  #           "shadow" (shadow for font)
  effect: shadow

# Optional: Telemetry configuration
telemetry:
  # Optional: Enable the latest version outbound check (default: shown below)
  # NOTE: If you use the HomeAssistant integration, disabling this will prevent it from reporting new versions
  version_check: true

Relevant log output

WebSocket connection to 'ws://192.168.XX.XXX:8080/ws' failed: Received a broken close frame containing a reserved status code

Operating system

Other Linux

Install method

Docker Compose

Network connection

Wired

Camera make and model

Dahua & Hikvision

Any other information that may be helpful

No response

Answered by hawkeye217

Jun 9, 2024

After investigation with the user, this was found to be an issue that was already fixed following beta 2 in #11704

View full answer

hawkeye217 · 2024-06-08T13:46:12Z

hawkeye217
Jun 8, 2024
Collaborator

I see you're accessing Frigate in port 8080, the authenticated port. Is the behavior any different if you don't use authentication and use port 5000?

23 replies

weitheng Jun 8, 2024
Author

we are aware of users with more cameras than 26 and have not had other reports of this issue so I am not sure it is only related to the number of cameras

I see. I am happy to do whatever I can to help with the issue - provide additional log, config etc., let me know how I can help

hawkeye217 Jun 8, 2024
Collaborator

Definitely would be helpful to see your full current config file.

weitheng Jun 8, 2024
Author

Here you go

mqtt:
  # Required: host name
  host: 192.168.1.153
  # Optional: port (default: shown below)
  port: 1883
  # Optional: topic prefix (default: shown below)
  # NOTE: must be unique if you are running multiple instances
  topic_prefix: frigate
  # Optional: client id (default: shown below)
  # NOTE: must be unique if you are running multiple instances
  client_id: frigate
  # Optional: user
  user: XXX
  # Optional: password
  # NOTE: MQTT password can be specified with an environment variables that must begin with 'FRIGATE_'.
  #       e.g. password: '{FRIGATE_MQTT_PASSWORD}'
  password: XXX
  # Optional: tls_ca_certs for enabling TLS using self-signed certs (default: None)
#  tls_ca_certs: /path/to/ca.crt
  # Optional: tls_client_cert and tls_client key in order to use self-signed client
  # certificates (default: None)
  # NOTE: certificate must not be password-protected
  #       do not set user and password when using a client certificate
#  tls_client_cert: /path/to/client.crt
#  tls_client_key: /path/to/client.key
  # Optional: tls_insecure (true/false) for enabling TLS verification of
  # the server hostname in the server certificate (default: None)
#  tls_insecure: false
  # Optional: interval in seconds for publishing stats (default: shown below)
  stats_interval: 5

#go2rtc:
#  streams:
#    Gate: 
#      - rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=0 # <- stream which supports video & aac audio. This is only supported for rtsp streams, http must use ffmpeg
#      - "ffmpeg:Gate#audio=opus" # <- copy of the stream which transcodes audio to opus
#    Gate_sub:
#      - rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=1 # <- stream which supports video & aac audio. This is only supported for rtsp streams, http must use ffmpeg
#    GateWide: 
#      - rtsp://XXX:[email protected]:554/stream1 # <- stream which supports video & aac audio. This is only supported for rtsp streams, http must use ffmpeg
#    GateWide_sub:
#      - rtsp://XXX:[email protected]:554/stream2 # <- stream which supports video & aac audio. This is only supported for rtsp streams, http must use ffmpeg
#    GateExtra: 
#      - rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=0 # <- stream which supports video & aac audio. This is only supported for rtsp streams, http must use ffmpeg
#    GateExtra_sub:
#      - rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=1 # <- stream which supports video & aac audio. This is only supported for rtsp streams, http must use ffmpeg

# Optional: Detectors configuration. Defaults to a single CPU detector
detectors:
  tensorrt:
    type: tensorrt
    device: 0 #This is the default, select the first GPU
#  coral:
#    type: edgetpu
#    device: usb
#    model:
#      path: "/edgetpu_model.tflite"
#      width: 320
#      height: 320
#  cpu1:
#    type: cpu
#  cpu2:
#    type: cpu
#  cpu3:
#    type: cpu
#  cpu4:
#    type: cpu
    # Optional: num_threads value passed to the tflite.Interpreter (default: shown below)
    # This value is only used for CPU types
#    num_threads: 3

# Optional: model modifications
model:
  # Optional: path to the model (default: automatic based on detector) /edgetpu_model.tflite
  path: /config/model_cache/tensorrt/yolov7-320.trt
  input_tensor: nchw
  input_pixel_format: rgb
  width: 320
  height: 320
#/edgetpu_model.tflite
#/spaghettinet_edgetpu_l_compiled.tflite 
  # Optional: path to the labelmap (default: shown below)
#  labelmap_path: /labelmap.txt
  # Required: Object detection model input width (default: shown below)
#  width: 320
  # Required: Object detection model input height (default: shown below)
#  height: 320
  # Optional: Label name modifications. These are merged into the standard labelmap.
#  labelmap:
#    2: vehicle

# Optional: logger verbosity settings
logger:
  # Optional: Default log verbosity (default: shown below)
  default: info
  # Optional: Component specific logger overrides
  logs:
    frigate.event: info

# Optional: set environment variables
#environment_vars:
#  EXAMPLE_VAR: value

# Optional: birdseye configuration
# NOTE: Can (enabled, mode) be overridden at the camera level
birdseye:
  # Optional: Enable birdseye view (default: shown below)
  enabled: true
  # Optional: Restream birdseye via RTSP (default: shown below)
  # NOTE: Enabling this will set birdseye to run 24/7 which may increase CPU usage somewhat.
  restream: true
  # Optional: Width of the output resolution (default: shown below)
  width: 1920
  # Optional: Height of the output resolution (default: shown below)
  height: 1080
  # Optional: Encoding quality of the mpeg1 feed (default: shown below)
  # 1 is the highest quality, and 31 is the lowest. Lower quality feeds utilize less CPU resources.
  quality: 9
  # Optional: Mode of the view. Available options are: objects, motion, and continuous
  #   objects - cameras are included if they have had a tracked object within the last 30 seconds
  #   motion - cameras are included if motion was detected in the last 30 seconds
  #   continuous - all cameras are included always
  mode: objects

# Optional: ffmpeg configuration
ffmpeg:
  # Optional: global ffmpeg args (default: shown below)
  global_args: -hide_banner -loglevel warning -threads 2
  # Optional: global hwaccel args (default: shown below)
  # NOTE: See hardware acceleration docs for your specific device
  hwaccel_args: preset-nvidia-h265 #[]
  # Optional: global input args (default: shown below)
  input_args: preset-rtsp-generic
#-avoid_negative_ts make_zero -fflags +genpts+discardcorrupt -rtsp_transport tcp -timeout 5000000 -use_wallclock_as_timestamps 1
  # Optional: global output args
  output_args:
    # Optional: output args for detect streams (default: shown below)
    detect: -threads 2 -f rawvideo -pix_fmt yuv420p
    # Optional: output args for record streams (default: shown below)
    record: preset-record-generic-audio-copy
#-f segment -segment_time 10 -segment_format mp4 -reset_timestamps 1 -strftime 1 -c copy -an

# Optional: Detect configuration
# NOTE: Can be overridden at the camera level
detect:
  # Optional: width of the frame for the input with the detect role (default: shown below)
  # width: 704
  # # Optional: height of the frame for the input with the detect role (default: shown below)
  # height: 576
  # Optional: desired fps for your camera for the input with the detect role (default: shown below)
  # NOTE: Recommended value of 5. Ideally, try and reduce your FPS on the camera.
  fps: 5
  # Optional: enables detection for the camera (default: True)
  # This value can be set via MQTT and will be updated in startup based on retained value
  enabled: true
  # Optional: Number of frames without a detection before frigate considers an object to be gone. (default: 5x the frame rate)
  max_disappeared: 25
  # Optional: Configuration for stationary object tracking
  stationary:
    # Optional: Frequency for confirming stationary objects (default: shown below)
    # When set to 0, object detection will not confirm stationary objects until movement is detected.
    # If set to 10, object detection will run to confirm the object still exists on every 10th frame.
    interval: 50
    # Optional: Number of frames without a position change for an object to be considered stationary (default: 10x the frame rate or 10s)
    threshold: 50
    # Optional: Define a maximum number of frames for tracking a stationary object (default: not set, track forever)
    # This can help with false positives for objects that should only be stationary for a limited amount of time.
    # It can also be used to disable stationary object tracking. For example, you may want to set a value for person, but leave
    # car at the default.
    # WARNING: Setting these values overrides default behavior and disables stationary object tracking.
    #          There are very few situations where you would want it disabled. It is NOT recommended to
    #          copy these values from the example config into your config unless you know they are needed.
    max_frames:
      # Optional: Default for all object types (default: not set, track forever)
      default: 5000
      # Optional: Object specific values
      objects:
        person: 3000

# Optional: Record configuration
# NOTE: Can be overridden at the camera level
record:
  enabled: true
  # Optional: Number of minutes to wait between cleanup runs (default: shown below)
  # This can be used to reduce the frequency of deleting recording segments from disk if you want to minimize i/o
  expire_interval: 60
  # Optional: Retention settings for recording
  retain:
    # Optional: Number of days to retain recordings regardless of events (default: shown below)
    # NOTE: This should be set to 0 and retention should be defined in events section below
    #       if you only want to retain recordings of events.
    days: 0
    # Optional: Mode for retention. Available options are: all, motion, and active_objects
    #   all - save all recording segments regardless of activity
    #   motion - save all recordings segments with any detected motion
    #   active_objects - save all recording segments with active/moving objects
    # NOTE: this mode only applies when the days setting above is greater than 0
    mode: all
  # Optional: Event recording settings
  events:
    # Optional: Number of seconds before the event to include (default: shown below)
    pre_capture: 30
    # Optional: Number of seconds after the event to include (default: shown below)
    post_capture: 30
    # Optional: Objects to save recordings for. (default: all tracked objects)
    objects:
      - person
      - car
      - bus
      - dog
      - cat
      - motorcycle
      - bicycle
      - rat
    # Optional: Retention settings for recordings of events
    retain:
      # Required: Default retention days (default: shown below)
      default: 7
      # Optional: Mode for retention. (default: shown below)
      #   all - save all recording segments for events regardless of activity
      #   motion - save all recordings segments for events with any detected motion
      #   active_objects - save all recording segments for event with active/moving objects
      #
      # NOTE: If the retain mode for the camera is more restrictive than the mode configured
      #       here, the segments will already be gone by the time this mode is applied.
      #       For example, if the camera retain mode is "motion", the segments without motion are
      #       never stored, so setting the mode to "all" here won't bring them back.
      mode: active_objects

# Optional: Configuration for the jpg snapshots written to the clips directory for each event
# NOTE: Can be overridden at the camera level
snapshots:
  # Optional: Enable writing jpg snapshot to /media/frigate/clips (default: shown below)
  # This value can be set via MQTT and will be updated in startup based on retained value
  enabled: true
  # Optional: save a clean PNG copy of the snapshot image (default: shown below)
  clean_copy: true
  # Optional: print a timestamp on the snapshots (default: shown below)
  timestamp: true
  # Optional: draw bounding box on the snapshots (default: shown below)
  bounding_box: true
  # Optional: crop the snapshot (default: shown below)
  crop: false
  # Optional: height to resize the snapshot to (default: original size)
#  height: 175
  # Optional: Camera override for retention settings (default: global values)
  retain:
    # Required: Default retention days (default: shown below)
    default: 6

# Required
cameras:
  Entrance1:
    ffmpeg:
      inputs:
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=1
          roles:
            - detect
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=0
          roles:
            - record
    # Optional: timeout for highest scoring image before allowing it
    # to be replaced by a newer image. (default: shown below)
    best_image_timeout: 60
    objects:
      track:
        - person
        - car
        - dog
        - cat
        - motorcycle
        - bus
        - bicycle
        - rat
      mask: 642,576,704,576,704,0,617,0,619,217,634,261,645,308
        #131,576,704,576,704,0,617,0,468,235,433,244
#    detect:
#      width: 1280
#      height: 720
#      fps: 5
#      # Optional: Number of frames without a detection before frigate considers an object to be gone. (default: 5x the frame rate)
#      max_disappeared: 50
#      # Optional: Configuration for stationary object tracking
#      stationary:
#        threshold: 100
    motion:
      threshold: 40
#      contour_area: 20
      mask:
      # - 495,576,704,576,704,0,617,0,619,242,573,305
        - 642,576,704,576,704,0,617,0,619,217,634,261,645,308
#    zones:
#      driveway:
#        coordinates: 944,720,915,160,877,122,671,102,568,143,0,598
        - 122,273,375,152,375,42,100,119
    mqtt:
      crop: false
      quality: 95

  Entrance2:
    ffmpeg:
      inputs:
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=1
          roles:
            - detect
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=0
          roles:
            - record
    # Optional: timeout for highest scoring image before allowing it
    # to be replaced by a newer image. (default: shown below)
    best_image_timeout: 60
    objects:
      track:
        - person
        - car
        - motorcycle
        - bus
        - bicycle
        - dog
        - cat
        - rat
#      filters:
#        person:
#          threshold: 0.65
#        car:
#          threshold: 0.65
      mask:
        - 676,0,704,60,674,57,623,48,640,0
        - 0,0,0,576,43,576,384,137,511,0
      #0,0,0,576,290,576,518,160,511,0
    motion:
#      threshold: 50
#      contour_area: 40
      mask:
        - 676,0,704,60,674,57,623,48,640,0
        - 0,0,0,576,43,576,384,137,511,0
      #0,0,0,576,28,529,410,95,511,0
#    detect:
#      width: 704
#      height: 576
#      fps: 5
#      # Optional: Number of frames without a detection before frigate considers an object to be gone. (default: 5x the frame rate)
#      max_disappeared: 40
#      # Optional: Configuration for stationary object tracking
#      stationary:
#        threshold: 90
#    zones:
#      street:
#        coordinates: 0,576,704,576,471,276,277,283,217,285,219,357,168,371,117,69,0,71,0,363
    mqtt:
      crop: false
      quality: 95

  StairsEntrance:
    ffmpeg:
      inputs:
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=1
          roles:
            - detect
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=0
          roles:
            - record
    # Optional: timeout for highest scoring image before allowing it
    # to be replaced by a newer image. (default: shown below)
    best_image_timeout: 60
    objects:
      track:
        - person
        - dog
        - cat
        - rat
      mask: 0,0,0,198,87,174,244,209,352,296,464,182,467,0
    motion:
      mask:
        - 0,0,0,0.344,0.085,0.264,0.347,0.363,0.51,0.492,0.655,0.302,0.663,0
        - 0.962,0,0.962,0.101,0.906,0.09,0.908,0
    mqtt:
      crop: false
      quality: 95

  StairsG:
    ffmpeg:
      inputs:
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=1
          roles:
            - detect
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=0
          roles:
            - record
    # Optional: timeout for highest scoring image before allowing it
    # to be replaced by a newer image. (default: shown below)
    best_image_timeout: 60
    objects:
      track:
        - person
        - car
        - motorcycle
        - bus
        - bicycle
        - dog
        - cat
        - rat
#      filters:
#        person:
#          threshold: 0.65
    detect:
#      width: 640
#      height: 360
      fps: 6
      # Optional: Number of frames without a detection before frigate considers an object to be gone. (default: 5x the frame rate)
      max_disappeared: 40
      # Optional: Configuration for stationary object tracking
      stationary:
        threshold: 80
    motion:
      mask:
        - 676,0,673,56,637,55,641,0
    mqtt:
      crop: false
      quality: 95

  Stairs1:
    ffmpeg:
      inputs:
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=1
          roles:
            - detect
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=0
          roles:
            - record
    # Optional: timeout for highest scoring image before allowing it
    # to be replaced by a newer image. (default: shown below)
    best_image_timeout: 60
    objects:
      track:
        - person
#        - car
#        - motorcycle
#        - bus
#        - bicycle
        - dog
        - cat
        - rat
#      mask: 0,500,0,0,474,0,639,0,544,220,441,216,253,338
#0,0,704,0,562,238,436,296,372,363,361,433,304,576,0,576
#      filters:
#        person:
#          threshold: 0.65
    motion:
      mask:
        - 676,0,673,56,637,55,641,0
#      threshold: 45
    mqtt:
      crop: false
      quality: 95

  Stairs2:
    ffmpeg:
      inputs:
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=1
          roles:
            - detect
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=0
          roles:
            - record
    # Optional: timeout for highest scoring image before allowing it
    # to be replaced by a newer image. (default: shown below)
    best_image_timeout: 60
    objects:
      track:
        - person
        - dog
        - cat
        - rat
#      filters:
#        person:
#          threshold: 0.60
    detect:
#      fps: 6
      # Optional: Number of frames without a detection before frigate considers an object to be gone. (default: 5x the frame rate)
      max_disappeared: 50
      # Optional: Configuration for stationary object tracking
      stationary:
        threshold: 100
    motion:
#      threshold: 35
#      contour_area: 20
      mask:
        - 676,0,673,56,637,55,641,0
    mqtt:
      crop: false
      quality: 95

  Stairs3:
    ffmpeg:
      inputs:
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=1
          roles:
            - detect
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=0
          roles:
            - record
    # Optional: timeout for highest scoring image before allowing it
    # to be replaced by a newer image. (default: shown below)
    best_image_timeout: 60
    objects:
      track:
        - person
        - dog
        - cat
        - rat
    motion:
#      threshold: 15
#      contour_area: 20
      mask:
        - 676,0,673,56,637,55,641,0
    mqtt:
      crop: false
      quality: 95

  Stairs4:
    ffmpeg:
      inputs:
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=1
          roles:
            - detect
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=0
          roles:
            - record
    # Optional: timeout for highest scoring image before allowing it
    # to be replaced by a newer image. (default: shown below)
    best_image_timeout: 60
    objects:
      track:
        - person
        - dog
        - cat
        - rat
#    record:
#      events:
#        objects:
#          - person
#          - car
#          - bus
#          - dog
#          - cat
#          - motorcycle
#          - bicycle
    motion:
#      threshold: 15
#      contour_area: 20
      mask:
        - 676,0,673,56,637,55,641,0
    mqtt:
      crop: false
      quality: 95

  PHStairs:
    ffmpeg:
      inputs:
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=1
          roles:
            - detect
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=0
          roles:
            - record
    # Optional: timeout for highest scoring image before allowing it
    # to be replaced by a newer image. (default: shown below)
    best_image_timeout: 60
    objects:
      track:
        - person
        - dog
        - cat
        - rat
      # Optional: The threshold passed to cv2.threshold to determine if a pixel is different enough to be counted as motion. (default: shown below)
      # 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: 25
      # Optional: Minimum size in pixels in the resized motion image that counts as motion (default: 30)
      # 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:
      #  - 15 - high sensitivity
      #  - 30 - medium sensitivity
      #  - 50 - low sensitivity
#      contour_area: 20
      # Optional: improve contrast (default: shown below)
      # Enables dynamic contrast improvement. This should help improve night detections at the cost of making motion detection more sensitive
      # for daytime.
    motion:
#      threshold: 15
#      contour_area: 20
      mask:
        - 676,0,673,56,637,55,641,0
    mqtt:
      crop: false
      quality: 95

  Server:
    ffmpeg:
      inputs:
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=1
          roles:
            - detect
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=0
          roles:
            - record
    # Optional: timeout for highest scoring image before allowing it
    # to be replaced by a newer image. (default: shown below)
    best_image_timeout: 60
    objects:
      track:
        - person
        - car
        - motorcycle
        - bus
        - bicycle
        - dog
        - cat
        - rat
    # motion:
    #   # Optional: The threshold passed to cv2.threshold to determine if a pixel is different enough to be counted as motion. (default: shown below)
    #   # 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: 80
    #   lightning_threshold: 0.3
    #   # Optional: Minimum size in pixels in the resized motion image that counts as motion (default: 30)
    #   # 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:
    #   #  - 15 - high sensitivity
    #   #  - 30 - medium sensitivity
    #   #  - 50 - low sensitivity
    #   contour_area: 60
    #   # Optional: Height of the resized motion frame  (default: 50)
    #   # This operates as an efficient blur alternative. Higher values will result in more granular motion detection at the expense
    #   # of higher CPU usage. Lower values result in less CPU, but small changes may not register as motion.
    #   frame_height: 50
    mqtt:
      crop: false
      quality: 95

  2FWalkway:
    ffmpeg:
      inputs:
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=1
          roles:
            - detect
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=0
          roles:
            - record
    # Optional: timeout for highest scoring image before allowing it
    # to be replaced by a newer image. (default: shown below)
    best_image_timeout: 60
    objects:
      track:
        - person
        - car
        - motorcycle
        - bus
        - bicycle
        - dog
        - cat
        - rat
    # motion:
    #   # Optional: The threshold passed to cv2.threshold to determine if a pixel is different enough to be counted as motion. (default: shown below)
    #   # 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: 80
    #   lightning_threshold: 0.3
    #   # Optional: Minimum size in pixels in the resized motion image that counts as motion (default: 30)
    #   # 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:
    #   #  - 15 - high sensitivity
    #   #  - 30 - medium sensitivity
    #   #  - 50 - low sensitivity
    #   contour_area: 60
    #   # Optional: Height of the resized motion frame  (default: 50)
    #   # This operates as an efficient blur alternative. Higher values will result in more granular motion detection at the expense
    #   # of higher CPU usage. Lower values result in less CPU, but small changes may not register as motion.
    #   frame_height: 50
    mqtt:
      crop: false
      quality: 95


  PHOutdoor:
    ffmpeg:
      inputs:
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=1
          roles:
            - detect
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=0
          roles:
            - record
    # Optional: timeout for highest scoring image before allowing it
    # to be replaced by a newer image. (default: shown below)
    best_image_timeout: 60
    objects:
      track:
        - person
        - motorcycle
        - bicycle
        - dog
        - cat
        - rat
#    motion:
#      mask:
#        - 328,121,397,207,457,199,464,151,495,216,489,94,704,143,539,60,509,0,338,0
#      threshold: 35
      # Optional: Minimum size in pixels in the resized motion image that counts as motion (default: 30)
      # 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:
      #  - 15 - high sensitivity
      #  - 30 - medium sensitivity
      #  - 50 - low sensitivity
#      contour_area: 40
    mqtt:
      crop: false
      quality: 95
    motion:
      mask:
        - 631,57,679,58,679,0,633,0

  PHCorridor:
    ffmpeg:
      inputs:
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=1
          roles:
            - detect
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=0
          roles:
            - record
    # Optional: timeout for highest scoring image before allowing it
    # to be replaced by a newer image. (default: shown below)
    best_image_timeout: 60
    objects:
      track:
        - person
        - car
        - motorcycle
        - bus
        - bicycle
        - dog
        - cat
        - rat
#      mask:
#        - 0,0,0,576,265,576,394,205,704,115,704,29,704,0,481,0
#    motion:
#      mask:
#        - 0,0,0,576,265,576,394,205,704,115,704,29,704,0,481,0
#      threshold: 15
#      contour_area: 20
    mqtt:
      crop: false
      quality: 95

  PHLeft:
    ffmpeg:
      inputs:
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=1
          roles:
            - detect
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=0
          roles:
            - record
    # Optional: timeout for highest scoring image before allowing it
    # to be replaced by a newer image. (default: shown below)
    best_image_timeout: 60
    objects:
      track:
        - person
        - dog
        - cat
        - rat
    motion:
      mask:
        - 704,0,681,59,634,59,634,0
    mqtt:
      crop: false
      quality: 95

  PHRight:
    ffmpeg:
      inputs:
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=1
          roles:
            - detect
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=0
          roles:
            - record
    # Optional: timeout for highest scoring image before allowing it
    # to be replaced by a newer image. (default: shown below)
    best_image_timeout: 60
    objects:
      track:
        - person
        - dog
        - cat
        - rat
    motion:
#      threshold: 60
      mask:
        - 634,61,675,56,669,0,634,0
        - 673,0,670,57,630,61,636,0
    mqtt:
      crop: false
      quality: 95

  Cashier:
    birdseye:
      mode: continuous
    ffmpeg:
      inputs:
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=1
          roles:
            - detect
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=0
          roles:
            - record
    # Optional: timeout for highest scoring image before allowing it
    # to be replaced by a newer image. (default: shown below)
    best_image_timeout: 60
    objects:
      track:
        - person
        - dog
        - cat
        - rat
      mask: 0,178,418,33,440,0,0,0
    motion:
#      threshold: 15
#      contour_area: 15
      mask:
        - 0,0.227,0.588,0.044,0.625,0,0,0
        - 0.959,0,0.955,0.099,0.854,0.109,0.871,0
    mqtt:
      crop: false
      quality: 95

  CashierRight:
    ffmpeg:
      inputs:
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=1
          roles:
            - detect
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=0
          roles:
            - record
    # Optional: timeout for highest scoring image before allowing it
    # to be replaced by a newer image. (default: shown below)
    best_image_timeout: 60
    objects:
      track:
        - person
        - bicycle
        - dog
        - cat
        - rat
      mask: 124,0,704,0,704,430,169,47
    motion:
#      threshold: 15
#      contour_area: 15
      mask: 0.176,0,1,0,1,0.551,0.316,0.019
    mqtt:
      crop: false
      quality: 95

  Cashier1F:
    ffmpeg:
      inputs:
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=1
          roles:
            - detect
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=0
          roles:
            - record
    # Optional: timeout for highest scoring image before allowing it
    # to be replaced by a newer image. (default: shown below)
    best_image_timeout: 60
    objects:
      track:
        - person
        - bicycle
        - dog
        - cat
        - rat
      mask: 124,0,598,0,542,223,223,114,131,141
    motion:
#      threshold: 65
#    motion:
#      threshold: 15
#      contour_area: 15
      mask:
        - 124,0,598,0,542,223,223,114,131,141
        - 704,65,639,65,638,0,672,0
    mqtt:
      crop: false
      quality: 95

  Carpark:
    ffmpeg:
      inputs:
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=1
          roles:
            - detect
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=0
          roles:
            - record
    # Optional: timeout for highest scoring image before allowing it
    # to be replaced by a newer image. (default: shown below)
    best_image_timeout: 60
    objects:
      track:
        - car
        - motorcycle
        - bicycle
        - lorry
        - van
        - person
        - dog
        - cat
        - rat
        - license_plate
      mask:
        - 423,70,0,291,0,0,381,0
        - 670,0,682,54,629,53,635,0
    motion:
      mask:
        - 423,70,0,291,0,0,381,0
        - 670,0,682,54,629,53,635,0
    mqtt:
      crop: false
      quality: 95

  Kitchen:
    ffmpeg:
      inputs:
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=1
          roles:
            - detect
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=0
          roles:
            - record
    # Optional: timeout for highest scoring image before allowing it
    # to be replaced by a newer image. (default: shown below)
    best_image_timeout: 60
    objects:
      track:
        - car
        - motorcycle
        - bicycle
        - lorry
        - van
        - person
        - dog
        - rat
        - cat
#      mask:
#      - 423,70,0,291,0,0,381,0
#      - 670,0,682,54,629,53,635,0
    motion:
      mask:
        - 499,0,512,104,283,115,288,24
        - 674,0,676,52,639,55,639,0
    mqtt:
      crop: false
      quality: 95

  CounterG:
    ffmpeg:
      inputs:
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=1
          roles:
            - detect
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=0
          roles:
            - record
    # Optional: timeout for highest scoring image before allowing it
    # to be replaced by a newer image. (default: shown below)
    best_image_timeout: 60
    objects:
      track:
        - person
        - dog
        - cat
        - rat
#      mask:
#      - 423,70,0,291,0,0,381,0
#      - 670,0,682,54,629,53,635,0
    motion:
      mask:
        - 681,0,679,63,606,59,605,0
    mqtt:
      crop: false
      quality: 95

  1FBack:
    ffmpeg:
      inputs:
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=1
          roles:
            - detect
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=0
          roles:
            - record
    # Optional: timeout for highest scoring image before allowing it
    # to be replaced by a newer image. (default: shown below)
    best_image_timeout: 60
    objects:
      track:
        - person
        - dog
        - cat
        - rat
#      mask:
#      - 423,70,0,291,0,0,381,0
#      - 670,0,682,54,629,53,635,0
    motion:
      mask:
        - 637,64,674,58,673,0,636,0
    mqtt:
      crop: false
      quality: 95

  1FKitchen:
    ffmpeg:
      inputs:
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=1
          roles:
            - detect
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=0
          roles:
            - record
    # Optional: timeout for highest scoring image before allowing it
    # to be replaced by a newer image. (default: shown below)
    best_image_timeout: 60
    objects:
      track:
        - person
        - dog
        - cat
        - rat
#      mask:
#      - 423,70,0,291,0,0,381,0
#      - 670,0,682,54,629,53,635,0
    motion:
      mask:
        - 638,51,673,56,675,0,641,0
    mqtt:
      crop: false
      quality: 95

  1FKitchen1:
    ffmpeg:
      inputs:
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=1
          roles:
            - detect
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=0
          roles:
            - record
    # Optional: timeout for highest scoring image before allowing it
    # to be replaced by a newer image. (default: shown below)
    best_image_timeout: 60
    objects:
      track:
        - person
        - dog
        - cat
        - rat
    motion:
      mask:
        - 638,51,673,56,675,0,641,0
    mqtt:
      crop: false
      quality: 95

  1FEntrance:
    ffmpeg:
      inputs:
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=1
          roles:
            - detect
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=0
          roles:
            - record
    # Optional: timeout for highest scoring image before allowing it
    # to be replaced by a newer image. (default: shown below)
    best_image_timeout: 60
    objects:
      track:
        - person
        - dog
        - cat
        - rat
    motion:
      mask:
        - 635,57,672,52,672,0,634,0
    mqtt:
      crop: false
      quality: 95

  1FEntrance2:
    ffmpeg:
      inputs:
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=1
          roles:
            - detect
        - path: 
            rtsp://XXX:[email protected]:554/cam/realmonitor?channel=1&subtype=0
          roles:
            - record
    # Optional: timeout for highest scoring image before allowing it
    # to be replaced by a newer image. (default: shown below)
    best_image_timeout: 60
    objects:
      track:
        - person
        - dog
        - cat
        - rat
#      mask:
#      - 423,70,0,291,0,0,381,0
#      - 670,0,682,54,629,53,635,0
    motion:
      mask:
        - 637,53,671,48,672,0,636,0
    mqtt:
      crop: false
      quality: 95

# Optional
ui:
  # Optional: Set the time format used.
  # Options are browser, 12hour, or 24hour (default: shown below)
  time_format: 24hour
  # Optional: Set the date style for a specified length.
  # Options are: full, long, medium, short
  # Examples:
  #    short: 2/11/23
  #    medium: Feb 11, 2023
  #    full: Saturday, February 11, 2023
  # (default: shown below).
  date_style: short
  # Optional: Set the time style for a specified length.
  # Options are: full, long, medium, short
  # Examples:
  #    short: 8:14 PM
  #    medium: 8:15:22 PM
  #    full: 8:15:22 PM Mountain Standard Time
  # (default: shown below).
  time_style: medium
  # Optional: Ability to manually override the date / time styling to use strftime format
  # https://www.gnu.org/software/libc/manual/html_node/Formatting-Calendar-Time.html
  # possible values are shown above (default: not set)
  strftime_fmt: '%Y/%m/%d %H:%M'
  timezone: Asia/Kuala_Lumpur

# Optional: in-feed timestamp style configuration
# NOTE: Can be overridden at the camera level
timestamp_style:
  # Optional: Position of the timestamp (default: shown below)
  #           "tl" (top left), "tr" (top right), "bl" (bottom left), "br" (bottom right)
  position: tl
  # Optional: Format specifier conform to the Python package "datetime" (default: shown below)
  #           Additional Examples:
  #             german: "%d.%m.%Y %H:%M:%S"
  format: '%m/%d/%Y %H:%M:%S'
  # Optional: Color of font
  color:
    # All Required when color is specified (default: shown below)
    red: 255
    green: 255
    blue: 255
  # Optional: Line thickness of font (default: shown below)
  thickness: 1
  # Optional: Effect of lettering (default: shown below)
  #           None (No effect),
  #           "solid" (solid background in inverse color of font)
  #           "shadow" (shadow for font)
  effect: shadow

# Optional: Telemetry configuration
telemetry:
  # Optional: Enable the latest version outbound check (default: shown below)
  # NOTE: If you use the HomeAssistant integration, disabling this will prevent it from reporting new versions
  version_check: true
version: 0.14
camera_groups:
  GF:
    order: 1
    icon: LuHeading
    cameras:
      - StairsG
      - StairsEntrance
      - Kitchen
      - Entrance2
      - Entrance1
      - CounterG
      - CashierRight
      - Cashier
      - Carpark
      - birdseye
  1F:
    order: 2
    icon: LuHeading1
    cameras:
      - birdseye
      - 1FBack
      - 1FEntrance
      - 1FEntrance2
      - 1FKitchen
      - 1FKitchen1
      - Cashier1F
      - Stairs1
  2F:
    order: 3
    icon: LuHeading2
    cameras:
      - 2FWalkway
      - birdseye
      - Stairs2
      - Server
  Stairs:
    order: 4
    icon: LuSquareStack
    cameras:
      - birdseye
      - Stairs1
      - Stairs2
      - Stairs3
      - Stairs4
      - StairsEntrance
      - PHStairs
  Penthouse:
    order: 5
    icon: LuPanelTopClose
    cameras:
      - birdseye
      - PHCorridor
      - PHLeft
      - PHOutdoor
      - PHRight
      - PHStairs

hawkeye217 Jun 8, 2024
Collaborator

I know you mentioned looking at the UI with your iPad. But If you have access to a desktop browser, it'd be helpful to see a screenshot of the developer tools network tab.

Additionally, since you're running auth, we'd be happy to log in and take a look from our end if you wanted to create a temporary support account for us. Get in touch with me via PM on Discord (same username as here) if you want to pursue that option.

weitheng Jun 9, 2024
Author

Yeah let's do that, I've just sent a friend request. My username is weitheng.

I mainly use desktop to view it, but sometimes I do use my iPad to look at it. On the iPad, the webpage just causes the browser to be unresponsive. Anyway, here's a screenshot of the network tab

hawkeye217 · 2024-06-09T19:04:54Z

hawkeye217
Jun 9, 2024
Collaborator

After investigation with the user, this was found to be an issue that was already fixed following beta 2 in #11704

1 reply

weitheng Jun 9, 2024
Author

Once again, thank you @hawkeye217 for the help and also @NickM-27 !

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[Bug]: Homepage crash #11818

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[Bug]: Homepage crash #11818

weitheng Jun 8, 2024

Describe the problem you are having

Steps to reproduce

Version

Frigate config file

Relevant log output

Operating system

Install method

Network connection

Camera make and model

Any other information that may be helpful

Replies: 2 comments · 24 replies

hawkeye217 Jun 8, 2024 Collaborator

weitheng Jun 8, 2024 Author

hawkeye217 Jun 8, 2024 Collaborator

weitheng Jun 8, 2024 Author

hawkeye217 Jun 8, 2024 Collaborator

weitheng Jun 9, 2024 Author

hawkeye217 Jun 9, 2024 Collaborator

weitheng Jun 9, 2024 Author

weitheng
Jun 8, 2024

Replies: 2 comments 24 replies

hawkeye217
Jun 8, 2024
Collaborator

weitheng Jun 8, 2024
Author

hawkeye217 Jun 8, 2024
Collaborator

weitheng Jun 8, 2024
Author

hawkeye217 Jun 8, 2024
Collaborator

weitheng Jun 9, 2024
Author

hawkeye217
Jun 9, 2024
Collaborator

weitheng Jun 9, 2024
Author