TrueChartsCatalogClone/incubator/frigate/6.0.2/ix_values.yaml

491 lines
20 KiB
YAML

image:
repository: tccr.io/truecharts/frigate
pullPolicy: IfNotPresent
tag: 0.11.1@sha256:8dd7273eebf396563d7bbc14778fd3d58c624e5063ffcf74b5b0afe63e7cdd7f
securityContext:
readOnlyRootFilesystem: false
runAsNonRoot: false
podSecurityContext:
runAsUser: 0
runAsGroup: 0
# -- The "render_config" key is only used internally to "render" or not the configuration
# - Some parts of the config bellow are slightly modified so they can be added on SCALE UI. Mainly lists.
# - Do not blindly copy paste configuration from upstream. As this won't work on all cases
# - Where you see "null" set as default is ignored by the configmap. (Not all keys are supported).
# - Those "nulls" should be replaced with integers (if you want to set a value)
frigate:
mqtt:
host: mqtt.server.com
port: 1883
# -- NOTE: Must be unique if you are running multiple instances
topic_prefix: ""
# -- NOTE: Must be unique if you are running multiple instances
client_id: ""
user: ""
password: ""
stats_interval: 60
detectors:
# -- Enable it to add the configuration in the config file
render_config: false
config:
[]
# -- Required: Name of the detector
# - name: coral
# # -- Valid values are 'edgetpu' (requires device property below) and 'cpu'.
# type: edgetpu
# # -- Device name as defined here: https://coral.ai/docs/edgetpu/multiple-edgetpu/#using-the-tensorflow-lite-python-api
# device: usb
# # -- This value is only used for CPU types
# num_threads: 3
model:
# -- Enable it to add the configuration in the config file
render_config: false
# -- Required: Object detection model input width
width: 320
# -- Required: Object detection model input height
height: 320
# -- Optional: Path to the model
path: ""
# -- Optional: Path to the labelmap
labelmap_path: ""
# -- Optional: Label name modifications.
labelmap:
[]
# - model: "2"
# name: vehicle
# - model: 3
# name: vehicle
logger:
# -- Enable it to add the configuration in the config file
render_config: false
# -- Optional: Default log verbosity (default: shown below)
default: info
# -- Optional: Component specific logger overrides
logs:
[]
# - component: frigate.event
# verbosity: debug
birdseye:
# -- Enable it to add the configuration in the config file
render_config: false
# -- Enables birdseye
enabled: true
# -- Optional: Width of the output resolution
width: null
# -- Optional: Height of the output resolution
height: null
# -- Optional: Encoding quality of the mpeg1 feed
# - 1 is the highest quality, and 31 is the lowest. Lower quality feeds utilize less CPU resources.
quality: null
# -- 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: ""
ffmpeg:
# -- Enable it to add the configuration in the config file
render_config: true
# -- Optional: global ffmpeg args
global_args: ""
# -- Optional: global input args
input_args: ""
# -- Optional: global hwaccel args
# - NOTE: See hardware acceleration docs for your specific device
hwaccel_args: ""
# -- Optional: global output args
output_args:
# -- Optional: output args for detect streams
detect: ""
# -- Optional: output args for record streams
record: ""
# -- Optional: output args for rtmp streams
rtmp: ""
detect:
# -- Enable it to add the configuration in the config file
render_config: false
# -- Enables detection for the camera.
# - This value can be set via MQTT and will be updated in startup based on retained value
enabled: true
# -- Optional: width of the frame for the input with the detect role
width: null
# -- Optional: height of the frame for the input with the detect role
height: null
# -- Optional: desired fps for your camera for the input with the detect role
# - NOTE: Recommended value of 5. Ideally, try and reduce your FPS on the camera.
fps: null
# -- Optional: Number of frames without a detection before frigate considers an object to be gone. (default: 5x the frame rate)
max_disappeared: null
# -- Optional: Configuration for stationary object tracking
stationary:
# -- Optional: Frequency for confirming stationary objects
# - 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: null
# -- Optional: Number of frames without a position change for an object to be considered stationary (default: 10x the frame rate or 10s)
threshold: null
# -- 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:
# # -- Optional: Object specific values
# objects:
# - object: person
# frames: 1000
objects:
# -- Enable it to add the configuration in the config file
render_config: false
# -- Optional: list of objects to track from labelmap.txt
track:
[]
# - person
# - car
# -- Optional: mask to prevent all object types from being detected in certain areas (default: no mask)
# - Checks based on the bottom center of the bounding box of the object.
# - NOTE: This mask is COMBINED with the object type specific mask below
mask: ""
# - Optional: filters to reduce false positives for specific object types
filters:
[]
# - object: person
# # -- Optional: Minimum width*height of the bounding box for the detected object
# min_area: 5000
# # -- Optional: Maximum width*height of the bounding box for the detected object
# max_area: 100000
# # -- Optional: Minimum width/height of the bounding box for the detected object
# min_ratio: "0.5"
# # -- Optional: Maximum width/height of the bounding box for the detected object
# max_ratio: "2.0"
# # -- Optional: Minimum score for the object to initiate tracking
# min_score: "0.5"
# # -- Optional: Minimum decimal percentage for tracked object's computed score to be considered a true positive
# threshold: "0.7"
# # -- Optional: Mask to prevent this object type from being detected in certain areas
# # - Checks based on the bottom center of the bounding box of the object
# mask: 0,0,1000,0,1000,200,0,200
motion:
# -- Enable it to add the configuration in the config file
render_config: false
# -- 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: null
# -- 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:
# - 15 - high sensitivity
# - 30 - medium sensitivity
# - 50 - low sensitivity
contour_area: null
# -- Optional: Alpha value passed to cv2.accumulateWeighted when averaging the motion delta across multiple frames
# - Higher values mean the current frame impacts the delta a lot, and a single raindrop may register as motion.
# - Too low and a fast moving person wont be detected as motion.
delta_alpha: ""
# -- Optional: Alpha value passed to cv2.accumulateWeighted when averaging frames to determine the background
# - Higher values mean the current frame impacts the average a lot, and a new object will be averaged into the background faster.
# - Low values will cause things like moving shadows to be detected as motion for longer.
# - https://www.geeksforgeeks.org/background-subtraction-in-an-image-using-concept-of-running-average/
frame_alpha: ""
# -- 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: null
# -- Optional: motion mask
# - NOTE: see docs for more detailed info on creating masks
mask: ""
# -- Optional: improve contrast
# - Enables dynamic contrast improvement. This should help improve night detections at the cost of making motion detection more sensitive
# - for daytime.
improve_contrast: false
# -- Optional: Delay when updating camera motion through MQTT from ON -> OFF
mqtt_off_delay: null
record:
# -- Enable it to add the configuration in the config file
render_config: false
# -- Optional: Enable recording
# - WARNING: If recording is disabled in the config, turning it on via
# - the UI or MQTT later will have no effect.
# - WARNING: Frigate does not currently support limiting recordings based
# - on available disk space automatically. If using recordings,
# - you must specify retention settings for a number of days that
# - will fit within the available disk space of your drive or Frigate will crash.
enabled: false
# -- Optional: Number of minutes to wait between cleanup runs
# - This can be used to reduce the frequency of deleting recording segments from disk if you want to minimize i/o
expire_interval:
# -- Optional: Retention settings for recording
retain:
# -- Render retain config
render_config: false
# -- Optional: Number of days to retain recordings regardless of events
# - 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:
# -- 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: ""
# -- Optional: Event recording settings
events:
# -- Enable it to add the configuration in the config file
render_config: false
# -- Optional: Number of seconds before the event to include
pre_capture: null
# -- Optional: Number of seconds after the event to include
post_capture: null
# -- Optional: Objects to save recordings for. Defaults to all
objects:
[]
# - person
# -- Optional: Restrict recordings to objects that entered any of the listed zones
required_zones: []
# -- Optional: Retention settings for recordings of events
retain:
# -- Render retain config
render_config: false
# -- Required: Default retention days
default: 10
# -- Optional: Mode for retention.
# - 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
mode: ""
# -- Optional: Per object retention days
objects:
[]
# - object: person
# days: 15
snapshots:
# -- Enable it to add the configuration in the config file
render_config: false
# -- Optional: Enable writing jpg snapshot to /media/frigate/clips
# - This value can be set via MQTT and will be updated in startup based on retained value
enabled: false
# -- Optional: Save a clean PNG copy of the snapshot image
clean_copy: true
# -- Optional: print a timestamp on the snapshots
timestamp: false
# -- Optional: draw bounding box on the snapshots
bounding_box: false
# -- Optional: crop the snapshot
crop: false
# -- Optional: height to resize the snapshot to (default: original size)
height:
# -- Optional: Restrict snapshots to objects that entered any of the listed zones (default: no required zones)
required_zones: []
# -- Optional: Camera override for retention settings (default: global values)
retain:
# -- Render retain config
render_config: false
# -- Required: Default retention days (default: shown below)
default: 10
# -- Optional: Per object retention days
objects:
[]
# - object: person
# days: 15
rtmp:
# -- Enable it to add the configuration in the config file
render_config: false
# - Optional: Enable the RTMP stream
enabled: true
live:
# -- Enable it to add the configuration in the config file
render_config: false
# -- Optional: Set the height of the live stream. (default: 720)
# - This must be less than or equal to the height of the detect stream. Lower resolutions
# - reduce bandwidth required for viewing the live stream. Width is computed to match known aspect ratio.
height: null
# -- Optional: Set the encode quality of the live stream (default: shown below)
# - 1 is the highest quality, and 31 is the lowest. Lower quality feeds utilize less CPU resources.
quality: null
timestamp_style:
# -- Enable it to add the configuration in the config file
render_config: false
# -- Optional: Position of the timestamp
# - "tl" (top left), "tr" (top right), "bl" (bottom left), "br" (bottom right)
position: ""
# -- Optional: Format specifier conform to the Python package "datetime"
# - Additional Examples:
# - german: "%d.%m.%Y %H:%M:%S"
format: ""
# -- Optional: Color of font
color:
# -- Enable it to add the configuration in the config file
render_config: false
# -- All Required when color is specified (default: shown below)
red: 255
green: 255
blue: 255
# -- Optional: Line thickness of font (default: shown below)
thickness: null
# -- Optional: Effect of lettering (default: shown below)
# - None (No effect),
# - "solid" (solid background in inverse color of font)
# - "shadow" (shadow for font)
effect: ""
cameras:
# -- Required: name of the camera
- camera_name: back
# -- Required: ffmpeg settings for the camera
ffmpeg:
# -- Required: A list of input streams for the camera. See documentation for more information.
inputs:
# -- Required: the path to the stream
- path: rtsp://viewer:password@10.0.10.10:554/cam/realmonitor?channel=1&subtype=2
# -- Required: list of roles for this stream. valid values are: detect,record,rtmp
# - NOTICE: In addition to assigning the record, and rtmp roles,
# - they must also be enabled in the camera config.
roles:
- detect
- rtmp
# -- Optional: stream specific global args
global_args: ""
# - Optional: stream specific hwaccel args
hwaccel_args: ""
# - Optional: stream specific input args
input_args: ""
# - Optional: stream specific output args
output_args:
detect: ""
record: ""
rtmp: ""
# -- Optional: camera specific global args
global_args: ""
# -- Optional: camera specific hwaccel args
hwaccel_args: ""
# -- Optional: camera specific input args
input_args: ""
# -- Optional: camera specific output args
output_args:
detect: ""
record: ""
rtmp: ""
# -- Optional: timeout for highest scoring image before allowing it
# - to be replaced by a newer image.
best_image_timeout: 60
# -- Optional: zones for this camera
zones:
# -- Required: name of the zone
# - NOTE: This must be different than any camera names, but can match with another zone on another camera
- name: front_steps
# -- Required: List of x,y coordinates to define the polygon of the zone.
# - NOTE: Presence in a zone is evaluated only based on the bottom center of the objects bounding box.
coordinates: 545,1077,747,939,788,805
# -- Optional: List of objects that can trigger this zone (default: all tracked objects)
objects:
[]
# - person
# -- Optional: Zone level object filters.
# -NOTE: The global and camera filters are applied upstream.
filters:
[]
# - object: person
# min_area: null
# max_area: null
# threshold: ""
# -- Optional: Configuration for the jpg snapshots published via MQTT
mqtt:
# -- Enable it to add the configuration in the config file
render_config: false
# -- Optional: Enable publishing snapshot via mqtt for camera
# - NOTE: Only applies to publishing image data to MQTT via 'frigate/<camera_name>/<object_name>/snapshot'.
# - All other messages will still be published.
enabled: true
# -- Optional: print a timestamp on the snapshots
timestamp: true
# -- Optional: draw bounding box on the snapshots
bounding_box: true
# -- Optional: crop the snapshot
crop: true
# -- Optional: height to resize the snapshot to
height: null
# -- Optional: jpeg encode quality
quality: null
# -- Optional: Restrict mqtt messages to objects that entered any of the listed zones
required_zones: []
# -- Optional: Configuration for how camera is handled in the GUI.
ui:
# -- Enable it to add the configuration in the config file
render_config: false
# -- Optional: Adjust sort order of cameras in the UI. Larger numbers come later
# - By default the cameras are sorted alphabetically.
order: null
# -- Optional: Whether or not to show the camera in the Frigate UI
dashboard: true
ingress:
rtmp:
autoLink: true
service:
main:
ports:
main:
port: 10500
protocol: HTTP
targetPort: 5000
rtmp:
enabled: true
ports:
rtmp:
enabled: true
port: 1935
targetPort: 1935
persistence:
media:
enabled: true
mountPath: /media
size: 256Gi
db:
enabled: true
mountPath: /db
size: 256Gi
type: emptyDir
cache:
enabled: true
mountPath: /tmp/cache
type: emptyDir
shm:
enabled: true
mountPath: /dev/shm
type: emptyDir
medium: Memory
frigate-config:
enabled: true
mountPath: /config
type: configMap
objectName: '{{ template "tc.common.names.fullname" . }}-frigate-config'
items:
- key: config.yml
path: config.yml
portal:
enabled: true