493 lines
22 KiB
YAML
493 lines
22 KiB
YAML
image:
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repository: tccr.io/truecharts/frigate-nvidia
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pullPolicy: IfNotPresent
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tag: latest@sha256:9facc1383ebbf148873bcc2fba501868b0e09417cffff7f6c06fb31b9c9b95ec
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securityContext:
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readOnlyRootFilesystem: false
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runAsNonRoot: false
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configmap:
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config:
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enabled: true
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data:
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config.yml: |
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mqtt:
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# Required: host name
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host: {{ .Values.frigate.mqtt.host }}
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# Optional: port (default: shown below)
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port: {{ .Values.frigate.mqtt.port }}
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# Optional: topic prefix (default: shown below)
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# NOTE: must be unique if you are running multiple instances
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topic_prefix: frigate
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# Optional: client id (default: shown below)
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# NOTE: must be unique if you are running multiple instances
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client_id: frigate
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{{- if .Values.frigate.mqtt.authenticated }}
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user: {{ .Values.frigate.mqtt.username }}
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password: {{ .Values.frigate.mqtt.password }}
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# Optional: user
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# user: mqtt_user
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# Optional: password
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# NOTE: MQTT password can be specified with an environment variables that must begin with 'FRIGATE_'.
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# e.g. password: '{FRIGATE_MQTT_PASSWORD}'
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# password: password
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{{- end }}
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# Optional: tls_ca_certs for enabling TLS using self-signed certs (default: None)
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# tls_ca_certs: /path/to/ca.crt
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# Optional: tls_client_cert and tls_client key in order to use self-signed client
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# certificates (default: None)
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# NOTE: certificate must not be password-protected
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# do not set user and password when using a client certificate
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# tls_client_cert: /path/to/client.crt
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# tls_client_key: /path/to/client.key
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# Optional: tls_insecure (true/false) for enabling TLS verification of
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# the server hostname in the server certificate (default: None)
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# tls_insecure: false
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# Optional: interval in seconds for publishing stats (default: shown below)
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stats_interval: 60
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# Optional: Detectors configuration. Defaults to a single CPU detector
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detectors:
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# Required: name of the detector
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{{- if .Values.persistence.coral }}
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{{- if .Values.persistence.coral.enabled }}
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coral:
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# Required: type of the detector
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# Valid values are 'edgetpu' (requires device property below) and 'cpu'.
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type: edgetpu
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# Optional: device name as defined here: https://coral.ai/docs/edgetpu/multiple-edgetpu/#using-the-tensorflow-lite-python-api
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device: usb
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{{- else }}
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cpu1:
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type: cpu
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# Optional: num_threads value passed to the tflite.Interpreter (default: shown below)
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# This value is only used for CPU types
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num_threads: 2
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{{- end }}
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{{- end }}
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# Optional: Database configuration
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# database:
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# The path to store the SQLite DB (default: shown below)
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# path: /media/frigate/frigate.db
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# Optional: model modifications
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# model:
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# Optional: path to the model (default: automatic based on detector)
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# path: /edgetpu_model.tflite
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# Optional: path to the labelmap (default: shown below)
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# labelmap_path: /labelmap.txt
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# Required: Object detection model input width (default: shown below)
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# width: 320
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# Required: Object detection model input height (default: shown below)
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# height: 240
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# Optional: Label name modifications. These are merged into the standard labelmap.
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# labelmap:
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# 2: vehicle
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# Optional: logger verbosity settings
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logger:
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# Optional: Default log verbosity (default: shown below)
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default: info
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# Optional: Component specific logger overrides
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# logs:
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# frigate.event: info
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# Optional: set environment variables
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# environment_vars:
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# EXAMPLE_VAR: value
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# Optional: birdseye configuration
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birdseye:
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# Optional: Enable birdseye view (default: shown below)
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enabled: {{ .Values.frigate.birdseye.enabled }}
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# Optional: Width of the output resolution (default: shown below)
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width: 1280
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# Optional: Height of the output resolution (default: shown below)
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height: 720
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# Optional: Encoding quality of the mpeg1 feed (default: shown below)
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# 1 is the highest quality, and 31 is the lowest. Lower quality feeds utilize less CPU resources.
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quality: 8
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# Optional: Mode of the view. Available options are: objects, motion, and continuous
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# objects - cameras are included if they have had a tracked object within the last 30 seconds
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# motion - cameras are included if motion was detected in the last 30 seconds
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# continuous - all cameras are included always
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mode: {{ .Values.frigate.birdseye.mode }}
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# Optional: ffmpeg configuration
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ffmpeg:
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# Optional: global ffmpeg args (default: shown below) warning instead of debug
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global_args: -hide_banner -loglevel debug
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# Optional: global hwaccel args (default: shown below)
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# NOTE: See hardware acceleration docs for your specific device
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# hwaccel_args: []
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# Optional: global input args (default: shown below)
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# input_args: -avoid_negative_ts make_zero -fflags +genpts+discardcorrupt -rtsp_transport tcp -stimeout 5000000 -use_wallclock_as_timestamps 1
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# Optional: global output args
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# output_args:
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# Optional: output args for detect streams (default: shown below)
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# detect: -f rawvideo -pix_fmt yuv420p
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# Optional: output args for record streams (default: shown below)
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# record: -f segment -segment_time 10 -segment_format mp4 -reset_timestamps 1 -strftime 1 -c copy -an
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# Optional: output args for rtmp streams (default: shown below)
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# rtmp: -c copy -f flv
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# Optional: Detect configuration
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# NOTE: Can be overridden at the camera level
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detect:
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# Optional: width of the frame for the input with the detect role (default: shown below)
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width: 1280
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# Optional: height of the frame for the input with the detect role (default: shown below)
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height: 720
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# Optional: desired fps for your camera for the input with the detect role (default: shown below)
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# NOTE: Recommended value of 5. Ideally, try and reduce your FPS on the camera.
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fps: 5
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# Optional: enables detection for the camera (default: True)
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# This value can be set via MQTT and will be updated in startup based on retained value
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enabled: True
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# Optional: Number of frames without a detection before frigate considers an object to be gone. (default: 5x the frame rate)
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# max_disappeared: 25
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# Optional: Frequency for running detection on stationary objects (default: 10x the frame rate)
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# stationary_interval: 50
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# Optional: Object configuration
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# NOTE: Can be overridden at the camera level
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objects:
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# Optional: list of objects to track from labelmap.txt (default: shown below)
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track:
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- person
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- car
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- motorcyle
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- cat
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- dog
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# Optional: mask to prevent all object types from being detected in certain areas (default: no mask)
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# Checks based on the bottom center of the bounding box of the object.
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# NOTE: This mask is COMBINED with the object type specific mask below
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# mask: 0,0,1000,0,1000,200,0,200
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# Optional: filters to reduce false positives for specific object types
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filters:
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person:
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# Optional: minimum width*height of the bounding box for the detected object (default: 0)
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min_area: 5000
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# Optional: maximum width*height of the bounding box for the detected object (default: 24000000)
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max_area: 100000
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# Optional: minimum score for the object to initiate tracking (default: shown below)
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# min_score: 0.5
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# Optional: minimum decimal percentage for tracked object's computed score to be considered a true positive (default: shown below)
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# threshold: 0.7
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# Optional: mask to prevent this object type from being detected in certain areas (default: no mask)
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# Checks based on the bottom center of the bounding box of the object
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# mask: 0,0,1000,0,1000,200,0,200
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# Optional: Motion configuration
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# NOTE: Can be overridden at the camera level
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motion:
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# Optional: The threshold passed to cv2.threshold to determine if a pixel is different enough to be counted as motion. (default: shown below)
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# Increasing this value will make motion detection less sensitive and decreasing it will make motion detection more sensitive.
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# The value should be between 1 and 255.
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# threshold: 25
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# Optional: Minimum size in pixels in the resized motion image that counts as motion (default: 30)
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# Increasing this value will prevent smaller areas of motion from being detected. Decreasing will
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# make motion detection more sensitive to smaller moving objects.
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# As a rule of thumb:
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# - 15 - high sensitivity
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# - 30 - medium sensitivity
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# - 50 - low sensitivity
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contour_area: 30
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# Optional: Alpha value passed to cv2.accumulateWeighted when averaging the motion delta across multiple frames (default: shown below)
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# Higher values mean the current frame impacts the delta a lot, and a single raindrop may register as motion.
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# Too low and a fast moving person wont be detected as motion.
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# delta_alpha: 0.2
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# Optional: Alpha value passed to cv2.accumulateWeighted when averaging frames to determine the background (default: shown below)
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# Higher values mean the current frame impacts the average a lot, and a new object will be averaged into the background faster.
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# Low values will cause things like moving shadows to be detected as motion for longer.
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# https://www.geeksforgeeks.org/background-subtraction-in-an-image-using-concept-of-running-average/
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# frame_alpha: 0.2
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# Optional: Height of the resized motion frame (default: 50)
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# This operates as an efficient blur alternative. Higher values will result in more granular motion detection at the expense
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# of higher CPU usage. Lower values result in less CPU, but small changes may not register as motion.
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# frame_height: 50
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# Optional: motion mask
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# NOTE: see docs for more detailed info on creating masks
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# mask: 0,900,1080,900,1080,1920,0,1920
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# Optional: Record configuration
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# NOTE: Can be overridden at the camera level
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record:
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# Optional: Enable recording (default: shown below)
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enabled: False
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# Optional: Retention settings for recording
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retain:
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# Optional: Number of days to retain recordings regardless of events (default: shown below)
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# NOTE: This should be set to 0 and retention should be defined in events section below
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# if you only want to retain recordings of events.
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days: 7
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# Optional: Mode for retention. Available options are: all, motion, and active_objects
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# all - save all recording segments regardless of activity
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# motion - save all recordings segments with any detected motion
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# active_objects - save all recording segments with active/moving objects
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# NOTE: this mode only applies when the days setting above is greater than 0
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mode: motion
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# Optional: Event recording settings
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events:
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# Optional: Maximum length of time to retain video during long events. (default: shown below)
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# NOTE: If an object is being tracked for longer than this amount of time, the retained recordings
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# will be the last x seconds of the event unless retain->days under record is > 0.
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max_seconds: 300
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# Optional: Number of seconds before the event to include (default: shown below)
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pre_capture: 5
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# Optional: Number of seconds after the event to include (default: shown below)
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post_capture: 5
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# Optional: Objects to save recordings for. (default: all tracked objects)
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# objects:
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# - person
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# Optional: Restrict recordings to objects that entered any of the listed zones (default: no required zones)
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# required_zones: []
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# Optional: Retention settings for recordings of events
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retain:
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# Required: Default retention days (default: shown below)
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default: 14
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# Optional: Mode for retention. (default: shown below)
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# all - save all recording segments for events regardless of activity
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# motion - save all recordings segments for events with any detected motion
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# active_objects - save all recording segments for event with active/moving objects
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#
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# NOTE: If the retain mode for the camera is more restrictive than the mode configured
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# here, the segments will already be gone by the time this mode is applied.
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# For example, if the camera retain mode is "motion", the segments without motion are
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# never stored, so setting the mode to "all" here won't bring them back.
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mode: active_objects
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# Optional: Per object retention days
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# objects:
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# person: 15
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# Optional: Configuration for the jpg snapshots written to the clips directory for each event
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# NOTE: Can be overridden at the camera level
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snapshots:
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# Optional: Enable writing jpg snapshot to /media/frigate/clips (default: shown below)
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# This value can be set via MQTT and will be updated in startup based on retained value
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enabled: False
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# Optional: print a timestamp on the snapshots (default: shown below)
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# timestamp: False
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# Optional: draw bounding box on the snapshots (default: shown below)
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# bounding_box: False
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# Optional: crop the snapshot (default: shown below)
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# crop: False
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# Optional: height to resize the snapshot to (default: original size)
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# height: 175
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# Optional: Restrict snapshots to objects that entered any of the listed zones (default: no required zones)
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required_zones: []
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# Optional: Camera override for retention settings (default: global values)
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retain:
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# Required: Default retention days (default: shown below)
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default: 10
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# Optional: Per object retention days
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objects:
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person: 15
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# Optional: RTMP configuration
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# NOTE: Can be overridden at the camera level
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rtmp:
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# Optional: Enable the RTMP stream (default: True)
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enabled: True
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# Optional: Live stream configuration for WebUI
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# NOTE: Can be overridden at the camera level
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live:
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# Optional: Set the height of the live stream. (default: 720)
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# This must be less than or equal to the height of the detect stream. Lower resolutions
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# reduce bandwidth required for viewing the live stream. Width is computed to match known aspect ratio.
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# height: 720
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# Optional: Set the encode quality of the live stream (default: shown below)
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# 1 is the highest quality, and 31 is the lowest. Lower quality feeds utilize less CPU resources.
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quality: 8
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# Optional: in-feed timestamp style configuration
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# NOTE: Can be overridden at the camera level
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# timestamp_style:
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# Optional: Position of the timestamp (default: shown below)
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# "tl" (top left), "tr" (top right), "bl" (bottom left), "br" (bottom right)
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# position: "tl"
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# Optional: Format specifier conform to the Python package "datetime" (default: shown below)
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# Additional Examples:
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# german: "%d.%m.%Y %H:%M:%S"
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# format: "%m/%d/%Y %H:%M:%S"
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# Optional: Color of font
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# color:
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# All Required when color is specified (default: shown below)
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# red: 255
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# green: 255
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# blue: 255
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# Optional: Line thickness of font (default: shown below)
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# thickness: 2
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# Optional: Effect of lettering (default: shown below)
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# None (No effect),
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# "solid" (solid background in inverse color of font)
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# "shadow" (shadow for font)
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effect: solid
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# Required
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cameras:
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{{- range .Values.frigate.cameras }}
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# Required: name of the camera
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{{ .name }}:
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objects:
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# Optional: list of objects to track from labelmap.txt (default: shown below)
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track:
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{{- range .objects.track }}
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- {{ . }}
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{{- end }}
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detect:
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width: {{ .detect.width }}
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height: {{ .detect.height }}
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# Required: ffmpeg settings for the camera
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ffmpeg:
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# Required: A list of input streams for the camera. See documentation for more information.
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inputs:
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{{- range .inputs }}
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- path: {{ .path }}
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roles:
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{{- range .roles }}
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- {{ . }}
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{{- end }}
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{{- end }}
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record:
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enabled: {{ .record.enabled }}
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# Optional: timeout for highest scoring image before allowing it
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# to be replaced by a newer image. (default: shown below)
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best_image_timeout: 60
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snapshots:
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enabled: {{ .snapshots.enabled }}
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# Optional: zones for this camera
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# zones:
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# Required: name of the zone
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# NOTE: This must be different than any camera names, but can match with another zone on another
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# camera.
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# front_steps:
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# Required: List of x,y coordinates to define the polygon of the zone.
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# NOTE: Coordinates can be generated at https://www.image-map.net/
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# coordinates: 545,1077,747,939,788,805
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# Optional: List of objects that can trigger this zone (default: all tracked objects)
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# objects:
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# - person
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# Optional: Zone level object filters.
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# NOTE: The global and camera filters are applied upstream.
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# filters:
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# person:
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# min_area: 5000
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# max_area: 100000
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# threshold: 0.7
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# Optional: Configuration for the jpg snapshots published via MQTT
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# mqtt:
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# Optional: Enable publishing snapshot via mqtt for camera (default: shown below)
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# NOTE: Only applies to publishing image data to MQTT via 'frigate/<camera_name>/<object_name>/snapshot'.
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# All other messages will still be published.
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# enabled: true
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# Optional: print a timestamp on the snapshots (default: shown below)
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# timestamp: True
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# Optional: draw bounding box on the snapshots (default: shown below)
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# bounding_box: True
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# Optional: crop the snapshot (default: shown below)
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# crop: True
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# Optional: height to resize the snapshot to (default: shown below)
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# height: 270
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# Optional: jpeg encode quality (default: shown below)
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# quality: 70
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# Optional: Restrict mqtt messages to objects that entered any of the listed zones (default: no required zones)
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# required_zones: []
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{{- end }}
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podSecurityContext:
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runAsUser: 0
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runAsGroup: 0
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service:
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main:
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ports:
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main:
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targetPort: 5000
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port: 5000
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rtmp:
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enabled: true
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ports:
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rtmp:
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protocol: TCP
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enabled: true
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port: 1935
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targetPort: 1935
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ingress:
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rtmp:
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autoLink: true
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frigate:
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mqtt:
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host: mosquitto.ix-mosquitto.svc.cluster.local
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port: 1883
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authentitcated: false
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username: mqtt_user
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password: password
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birdseye:
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enabled: true
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mode: motion
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cameras:
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- name: camera1
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objects:
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# Optional: list of objects to track from labelmap.txt (default: shown below)
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track:
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- person
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- car
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- motorcyle
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- cat
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- dog
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detect:
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height: 720
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width: 1280
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inputs:
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# Required: the path to the stream
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# NOTE: path may include environment variables, which must begin with 'FRIGATE_' and be referenced in {}
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- path: rtsp://username:password@highres.url
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# Required: list of roles for this stream. valid values are: detect,record,rtmp
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# NOTICE: In addition to assigning the record, and rtmp roles,
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# they must also be enabled in the camera config.
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roles:
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- record
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- path: rtsp://username:password@lowres.url
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roles:
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- detect
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- rtmp
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record:
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enabled: True
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# Optional: timeout for highest scoring image before allowing it
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# to be replaced by a newer image. (default: shown below)
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best_image_timeout: 60
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snapshots:
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enabled: true
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persistence:
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cache:
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enabled: true
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mountPath: "/tmp/cache"
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type: "emptyDir"
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shm:
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enabled: true
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mountPath: "/dev/shm"
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type: "emptyDir"
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medium: "Memory"
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media:
|
|
enabled: true
|
|
mountPath: "/media"
|
|
frigate-config:
|
|
enabled: true
|
|
mountPath: "/config/config.yml"
|
|
subPath: "config.yml"
|
|
type: "custom"
|
|
volumeSpec:
|
|
configMap:
|
|
name: '{{ template "tc.common.names.fullname" . }}-config'
|
|
|
|
portal:
|
|
enabled: true
|