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[gelöst] Widget für RTSP Stream

Geplant Angeheftet Gesperrt Verschoben Gelöst Visualisierung
66 Beiträge 27 Kommentatoren 50.8k Aufrufe 22 Watching
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  • S Offline
    S Offline
    SidM
    schrieb am zuletzt editiert von SidM
    #57

    @paeppi

    Hallo Patrick, bei der Umstellung auf go2rtc musste ich auch erst ein wenig probieren.
    Wenn ich dir ein Rat geben kann, versuche andere Kameras als Reolink zu nutzen. Versuche welche von Dahua, Hikvision, and Amcrest zu nehmen, wie es der Entwickler vorschlägt.

    Ich habe 3 Reolinks (hatte ich vor Frigate NVR) und eine davon ( RLC-510A ) hat bei den aufnahmen immer mal Aussetzer (Ton läuft noch Bild friert aber ein, oder auch mal komplett Schwarzes Bild).

    Meine Konfig sieht so aus:

    mqtt:
      # Optional: Enable mqtt server (default: false)
      enabled: True
      # Required: host name
      host: 192.168.188.40
      # Optional: port (default: shown below)
      port: 1886
      # Optional: topic prefix (default: frigate)
      # NOTE: must be unique if you are running multiple instances
      topic_prefix: frigate
      # Optional: client id (default: frigate)
      # NOTE: must be unique if you are running multiple instances
      client_id: frigate
      # Optional: interval in seconds for publishing stats (default: 60)
      stats_interval: 5
    
    
    detectors: # <---- add detectors
      coral:
        type: edgetpu
        device: usb
    
    
    ffmpeg:
      hwaccel_args: preset-vaapi
      output_args:
        # Optional: output args for detect streams (default: shown below)
        detect: -f rawvideo -pix_fmt yuv420p
        # Optional: output args for record streams (default: shown below)
        record: -f segment -segment_time 10 -segment_format mp4 -reset_timestamps 1 -strftime 1 -c copy
        # Optional: output args for rtmp streams (default: shown below)
        
    
    go2rtc:
      streams:
        Hof:
          - http://192.168.188.38/flv?port=1935&app=bcs&stream=channel0_main.bcs&user=**********&password=**********
          - "ffmpeg:Hof#audio=opus" # <- copy of the stream which transcodes audio to the missing codec (usually will be opus)
        Hof_Sub:
          - http://192.168.188.38/flv?port=1935&app=bcs&stream=channel0_ext.bcs&user=**********&password=**********
        Werkstatt:
          - http://192.168.188.23/flv?port=1935&app=bcs&stream=channel0_main.bcs&user=**********&password=**********
          - "ffmpeg:Werkstatt#audio=opus" # <- copy of the stream which transcodes audio to the missing codec (usually will be opus)
        Werkstatt_Sub:
          - http://192.168.188.23/flv?port=1935&app=bcs&stream=channel0_ext.bcs&user=**********&password=**********
        Flur:
          - http://192.168.188.36/flv?port=1935&app=bcs&stream=channel0_main.bcs&user=**********&password=**********
          - "ffmpeg:Flur#audio=opus" # <- copy of the stream which transcodes audio to the missing codec (usually will be opus)
        Flur_Sub:
          - http://192.168.188.36/flv?port=1935&app=bcs&stream=channel0_ext.bcs&user=**********&password=**********
      webrtc:
        candidates:
          - 192.168.188.40:8555
          - stun:8555
    
    
    
    cameras:
      Hof: # <------ Name the camera
        ffmpeg:
          output_args:
            record: preset-record-generic-audio-copy
          inputs:
            - path: rtsp://127.0.0.1:8554/Hof?video=copy&audio=aac # <--- the name here must match the name of the camera in restream
              input_args: preset-rtsp-restream
              roles:
                - record
            - path: rtsp://127.0.0.1:8554/Hof_Sub?video=copy # <----- The stream you want to use for detection
              input_args: preset-rtsp-restream
              roles:
                - detect
        detect:
          enabled: True # <---- disable detection until you have a working camera feed
          width: 2560 # <---- update for your camera's resolution
          height: 1920 # <---- update for your camera's resolution
        record: # <----- Enable recording
          enabled: True
        snapshots: # <----- Enable snapshots
          enabled: True
        motion:
          mask:
            - 2024,238,1528,171,1330,189,1124,214,1081,342,751,336,748,379,379,385,0,407,0,192,0,0,837,0,2560,0,2560,157,2560,360
            - 1194,1920,1041,1783,0,1791,0,1920
        zones:
          Bewegung Hofeinfahrt:
            coordinates: 747,396,0,437,0,566,117,548,122,743,412,699,715,671,718,515,743,512
          Bewegung Innenhof:
            coordinates: 0,1920,0,580,112,551,122,749,746,682,737,346,1086,336,1086,221,1544,163,1704,176,2130,253,2560,362,2560,1920
          Bewegung Doppelgarage:
            coordinates: 2378,1892,2180,1822,2102,1718,2226,1316,2390,1018,2560,1082,2560,1552
    
    
      Werkstatt:
        ffmpeg:
          output_args:
            record: preset-record-generic-audio-copy
          inputs:
            - path: rtsp://127.0.0.1:8554/Werkstatt?video=copy&audio=aac # <--- the name here must match the name of the camera in restream
              input_args: preset-rtsp-restream
              roles:
                - record
            - path: rtsp://127.0.0.1:8554/Werkstatt_Sub?video=copy # <----- The stream you want to use for detection
              input_args: preset-rtsp-restream
              roles:
                - detect
        detect:
          enabled: True # <---- disable detection until you have a working camera feed
          width: 2560 # <---- update for your camera's resolution
          height: 1920 # <---- update for your camera's resolution
        record: # <----- Enable recording
          enabled: True
        snapshots: # <----- Enable snapshots
          enabled: True
        motion:
          mask:
            - 1828,42,1827,133,730,123,730,39
        zones:
          Bewegung Werkstatt:
            coordinates: 0,1920,0,0,2560,0,2560,1920
    
    
    
      Flur:
        ffmpeg:
          output_args:
            record: preset-record-generic-audio-copy
          inputs:
            - path: rtsp://127.0.0.1:8554/Flur?video=copy&audio=aac # <--- the name here must match the name of the camera in restream
              input_args: preset-rtsp-restream
              roles:
                - record
            - path: rtsp://127.0.0.1:8554/Flur_Sub?video=copy # <----- The stream you want to use for detection
              input_args: preset-rtsp-restream
              roles:
                - detect
        detect:
          enabled: True # <---- disable detection until you have a working camera feed
          width: 2560 # <---- update for your camera's resolution
          height: 1920 # <---- update for your camera's resolution
        record: # <----- Enable recording
          enabled: True
        snapshots: # <----- Enable snapshots
          enabled: True
        motion:
          mask:
            - 1828,133,1823,25,715,34,716,139
        zones:
          Bewegung Flur:
            coordinates: 0,1920,0,0,2560,0,2560,1920
    
    
    # Optional: Object configuration
    # NOTE: Can be overridden at the camera level
    objects:
      # Optional: list of objects to track from labelmap.txt (default: shown below)
      track:
        - person
        - car
        - cat
        - dog
        - bird
      # 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: 0,0,1000,0,1000,200,0,200
      # Optional: filters to reduce false positives for specific object types
      filters:
        person:
          # Optional: minimum width*height of the bounding box for the detected object (default: 0)
          min_area: 0
          # Optional: maximum width*height of the bounding box for the detected object (default: 24000000)
          max_area: 24000000
          # Optional: minimum score for the object to initiate tracking (default: shown below)
          min_score: 0.5
          # Optional: minimum decimal percentage for tracked object's computed score to be considered a true positive (default: shown below)
          threshold: 0.7
          # Optional: mask to prevent this object type from being detected in certain areas (default: no mask)
          # Checks based on the bottom center of the bounding box of the object
          mask: 0,0,1000,0,1000,200,0,200
          
    
    
    # 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: "%d/%m/%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: 2
      # Optional: Effect of lettering (default: shown below)
      #           None (No effect),
      #           "solid" (solid background in inverse color of font)
      #           "shadow" (shadow for font)
      effect: solid
      
    
    
    # Optional: birdseye configuration
    # NOTE: Can (enabled, mode) be overridden at the camera level
    birdseye:
      # Optional: Enable birdseye view (default: True)
      enabled: True
      # Optional: Restream birdseye via RTSP (default: False)
      # NOTE: Enabling this will set birdseye to run 24/7 which may increase CPU usage somewhat.
      restream: False
      # Optional: Width of the output resolution (default: 1280)
      width: 2560
      # Optional: Height of the output resolution (default: 720)
      height: 1920
      # Optional: Encoding quality of the mpeg1 feed (default: 8)
      # 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: motion
    
    
    
    # Optional: Record configuration
    # NOTE: Can be overridden at the camera level
    record:
      # Optional: Enable recording (default: False)
      # WARNING: If recording is disabled in the config, turning it on via
      #          the UI or MQTT later will have no effect.
      enabled: True
      # Optional: Number of minutes to wait between cleanup runs (default: 60)
      # 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: 0)
        # 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: 5)
        pre_capture: 15
        # Optional: Number of seconds after the event to include (default: 5)
        post_capture: 15
        # Optional: Objects to save recordings for. (default: all tracked objects)
        objects:
          - person
          - car
          - dog
          - cat
          - bird
    
        # Optional: Restrict recordings to objects that entered any of the listed zones (default: no required zones)
        required_zones: []
        # Optional: Retention settings for recordings of events
        retain:
          # Required: Default retention days (default: 10)
          default: 10
          # Optional: Mode for retention. (default: motion)
          #   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: motion
          # Optional: Per object retention days
          objects:
            person: 15
            car:    15
            dog:    15
            cat:    15
    
    
    
    # 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: False)
      enabled: True
      # Optional: save a clean PNG copy of the snapshot image (default: True)
      clean_copy: True
      # Optional: print a timestamp on the snapshots (default: False)
      timestamp: False
      # Optional: draw bounding box on the snapshots (default: False)
      bounding_box: True
      # Optional: crop the snapshot (default: False)
      crop: False
      # Optional: height to resize the snapshot to (default: original size)
      height: 0
      # 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:
        # Required: Default retention days (default: 10)
        default: 10
        # Optional: Per object retention days
        objects:
          person: 15
          car:    15
          dog:    15
          cat:    15
    
    
    # Optional
    ui:
      # Optional: Set the default live mode for cameras in the UI (default: mse)
      live_mode: mse
      # Optional: Set a timezone to use in the UI (default: use browser local time)
       #timezone: America/Denver
      # Optional: Use an experimental recordings / camera view UI (default: false)
      use_experimental: False
      # Optional: Set the time format used.
      # Options are browser, 12hour, or 24hour (default: browser)
      time_format: browser
      # 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: short).
      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: medium).
      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"
    

    Dank der Integration von go2rtc kann man jetzt auch auf dem iPhone problemlos sich den Live Stream anzeigen lassen ohne eine weiter App nutzen zu müssen.

    In der VIS dann einfach ein iFrame-Widget einsetzten und als Quelle folgendes eingeben:

    http://192.168.188.40:5002/live/webrtc/webrtc.html?src=Flur
    

    Die IP und Port entspricht dabei den von Frigate.

    P K 2 Antworten Letzte Antwort
    1
    • WalW Wal

      @sidm sagte in [gelöst] Widget für RTSP Stream:

      Ist aber auf jeden Fall anzuraten einen Google Coral TPU zu verwenden.

      Ich denke bis 2 Kamerastreams geht es auch ohne, vorausgesetzt man installiert frigate nicht gerade auf einem Raspi.
      Auf einem Intel i5-6300 komme ich ohne Coral TPU und der Vino Erkennung mit 2 Streams auf ca. 3-5% CPU-Last ohne Transcoding. Mit Corel Dual TPU auf 1-3%.

      S Offline
      S Offline
      SidM
      schrieb am zuletzt editiert von
      #58

      @wal

      Ich hatte zu beginn auch keine Google Coralle und hab aber bei 2 Streams eine Auslastung von ca 30-35% im Hinterkopf. (Xeon E-2176G)
      Mittlerweile wird ja auch wie du schon angesprochen hast, OpenVino unterstützt also CPU und GPU von Intel.
      Auch gibt es regelmäßige Updates von Frigate.
      Man kann ja erstmal schauen, ob es für eine etwas ist und falls ja, was die Auslastung des Systems macht.

      Der Stick ist ja dann schnell nachgeordert.

      1 Antwort Letzte Antwort
      0
      • S SidM

        @paeppi

        Hallo Patrick, bei der Umstellung auf go2rtc musste ich auch erst ein wenig probieren.
        Wenn ich dir ein Rat geben kann, versuche andere Kameras als Reolink zu nutzen. Versuche welche von Dahua, Hikvision, and Amcrest zu nehmen, wie es der Entwickler vorschlägt.

        Ich habe 3 Reolinks (hatte ich vor Frigate NVR) und eine davon ( RLC-510A ) hat bei den aufnahmen immer mal Aussetzer (Ton läuft noch Bild friert aber ein, oder auch mal komplett Schwarzes Bild).

        Meine Konfig sieht so aus:

        mqtt:
          # Optional: Enable mqtt server (default: false)
          enabled: True
          # Required: host name
          host: 192.168.188.40
          # Optional: port (default: shown below)
          port: 1886
          # Optional: topic prefix (default: frigate)
          # NOTE: must be unique if you are running multiple instances
          topic_prefix: frigate
          # Optional: client id (default: frigate)
          # NOTE: must be unique if you are running multiple instances
          client_id: frigate
          # Optional: interval in seconds for publishing stats (default: 60)
          stats_interval: 5
        
        
        detectors: # <---- add detectors
          coral:
            type: edgetpu
            device: usb
        
        
        ffmpeg:
          hwaccel_args: preset-vaapi
          output_args:
            # Optional: output args for detect streams (default: shown below)
            detect: -f rawvideo -pix_fmt yuv420p
            # Optional: output args for record streams (default: shown below)
            record: -f segment -segment_time 10 -segment_format mp4 -reset_timestamps 1 -strftime 1 -c copy
            # Optional: output args for rtmp streams (default: shown below)
            
        
        go2rtc:
          streams:
            Hof:
              - http://192.168.188.38/flv?port=1935&app=bcs&stream=channel0_main.bcs&user=**********&password=**********
              - "ffmpeg:Hof#audio=opus" # <- copy of the stream which transcodes audio to the missing codec (usually will be opus)
            Hof_Sub:
              - http://192.168.188.38/flv?port=1935&app=bcs&stream=channel0_ext.bcs&user=**********&password=**********
            Werkstatt:
              - http://192.168.188.23/flv?port=1935&app=bcs&stream=channel0_main.bcs&user=**********&password=**********
              - "ffmpeg:Werkstatt#audio=opus" # <- copy of the stream which transcodes audio to the missing codec (usually will be opus)
            Werkstatt_Sub:
              - http://192.168.188.23/flv?port=1935&app=bcs&stream=channel0_ext.bcs&user=**********&password=**********
            Flur:
              - http://192.168.188.36/flv?port=1935&app=bcs&stream=channel0_main.bcs&user=**********&password=**********
              - "ffmpeg:Flur#audio=opus" # <- copy of the stream which transcodes audio to the missing codec (usually will be opus)
            Flur_Sub:
              - http://192.168.188.36/flv?port=1935&app=bcs&stream=channel0_ext.bcs&user=**********&password=**********
          webrtc:
            candidates:
              - 192.168.188.40:8555
              - stun:8555
        
        
        
        cameras:
          Hof: # <------ Name the camera
            ffmpeg:
              output_args:
                record: preset-record-generic-audio-copy
              inputs:
                - path: rtsp://127.0.0.1:8554/Hof?video=copy&audio=aac # <--- the name here must match the name of the camera in restream
                  input_args: preset-rtsp-restream
                  roles:
                    - record
                - path: rtsp://127.0.0.1:8554/Hof_Sub?video=copy # <----- The stream you want to use for detection
                  input_args: preset-rtsp-restream
                  roles:
                    - detect
            detect:
              enabled: True # <---- disable detection until you have a working camera feed
              width: 2560 # <---- update for your camera's resolution
              height: 1920 # <---- update for your camera's resolution
            record: # <----- Enable recording
              enabled: True
            snapshots: # <----- Enable snapshots
              enabled: True
            motion:
              mask:
                - 2024,238,1528,171,1330,189,1124,214,1081,342,751,336,748,379,379,385,0,407,0,192,0,0,837,0,2560,0,2560,157,2560,360
                - 1194,1920,1041,1783,0,1791,0,1920
            zones:
              Bewegung Hofeinfahrt:
                coordinates: 747,396,0,437,0,566,117,548,122,743,412,699,715,671,718,515,743,512
              Bewegung Innenhof:
                coordinates: 0,1920,0,580,112,551,122,749,746,682,737,346,1086,336,1086,221,1544,163,1704,176,2130,253,2560,362,2560,1920
              Bewegung Doppelgarage:
                coordinates: 2378,1892,2180,1822,2102,1718,2226,1316,2390,1018,2560,1082,2560,1552
        
        
          Werkstatt:
            ffmpeg:
              output_args:
                record: preset-record-generic-audio-copy
              inputs:
                - path: rtsp://127.0.0.1:8554/Werkstatt?video=copy&audio=aac # <--- the name here must match the name of the camera in restream
                  input_args: preset-rtsp-restream
                  roles:
                    - record
                - path: rtsp://127.0.0.1:8554/Werkstatt_Sub?video=copy # <----- The stream you want to use for detection
                  input_args: preset-rtsp-restream
                  roles:
                    - detect
            detect:
              enabled: True # <---- disable detection until you have a working camera feed
              width: 2560 # <---- update for your camera's resolution
              height: 1920 # <---- update for your camera's resolution
            record: # <----- Enable recording
              enabled: True
            snapshots: # <----- Enable snapshots
              enabled: True
            motion:
              mask:
                - 1828,42,1827,133,730,123,730,39
            zones:
              Bewegung Werkstatt:
                coordinates: 0,1920,0,0,2560,0,2560,1920
        
        
        
          Flur:
            ffmpeg:
              output_args:
                record: preset-record-generic-audio-copy
              inputs:
                - path: rtsp://127.0.0.1:8554/Flur?video=copy&audio=aac # <--- the name here must match the name of the camera in restream
                  input_args: preset-rtsp-restream
                  roles:
                    - record
                - path: rtsp://127.0.0.1:8554/Flur_Sub?video=copy # <----- The stream you want to use for detection
                  input_args: preset-rtsp-restream
                  roles:
                    - detect
            detect:
              enabled: True # <---- disable detection until you have a working camera feed
              width: 2560 # <---- update for your camera's resolution
              height: 1920 # <---- update for your camera's resolution
            record: # <----- Enable recording
              enabled: True
            snapshots: # <----- Enable snapshots
              enabled: True
            motion:
              mask:
                - 1828,133,1823,25,715,34,716,139
            zones:
              Bewegung Flur:
                coordinates: 0,1920,0,0,2560,0,2560,1920
        
        
        # Optional: Object configuration
        # NOTE: Can be overridden at the camera level
        objects:
          # Optional: list of objects to track from labelmap.txt (default: shown below)
          track:
            - person
            - car
            - cat
            - dog
            - bird
          # 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: 0,0,1000,0,1000,200,0,200
          # Optional: filters to reduce false positives for specific object types
          filters:
            person:
              # Optional: minimum width*height of the bounding box for the detected object (default: 0)
              min_area: 0
              # Optional: maximum width*height of the bounding box for the detected object (default: 24000000)
              max_area: 24000000
              # Optional: minimum score for the object to initiate tracking (default: shown below)
              min_score: 0.5
              # Optional: minimum decimal percentage for tracked object's computed score to be considered a true positive (default: shown below)
              threshold: 0.7
              # Optional: mask to prevent this object type from being detected in certain areas (default: no mask)
              # Checks based on the bottom center of the bounding box of the object
              mask: 0,0,1000,0,1000,200,0,200
              
        
        
        # 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: "%d/%m/%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: 2
          # Optional: Effect of lettering (default: shown below)
          #           None (No effect),
          #           "solid" (solid background in inverse color of font)
          #           "shadow" (shadow for font)
          effect: solid
          
        
        
        # Optional: birdseye configuration
        # NOTE: Can (enabled, mode) be overridden at the camera level
        birdseye:
          # Optional: Enable birdseye view (default: True)
          enabled: True
          # Optional: Restream birdseye via RTSP (default: False)
          # NOTE: Enabling this will set birdseye to run 24/7 which may increase CPU usage somewhat.
          restream: False
          # Optional: Width of the output resolution (default: 1280)
          width: 2560
          # Optional: Height of the output resolution (default: 720)
          height: 1920
          # Optional: Encoding quality of the mpeg1 feed (default: 8)
          # 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: motion
        
        
        
        # Optional: Record configuration
        # NOTE: Can be overridden at the camera level
        record:
          # Optional: Enable recording (default: False)
          # WARNING: If recording is disabled in the config, turning it on via
          #          the UI or MQTT later will have no effect.
          enabled: True
          # Optional: Number of minutes to wait between cleanup runs (default: 60)
          # 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: 0)
            # 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: 5)
            pre_capture: 15
            # Optional: Number of seconds after the event to include (default: 5)
            post_capture: 15
            # Optional: Objects to save recordings for. (default: all tracked objects)
            objects:
              - person
              - car
              - dog
              - cat
              - bird
        
            # Optional: Restrict recordings to objects that entered any of the listed zones (default: no required zones)
            required_zones: []
            # Optional: Retention settings for recordings of events
            retain:
              # Required: Default retention days (default: 10)
              default: 10
              # Optional: Mode for retention. (default: motion)
              #   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: motion
              # Optional: Per object retention days
              objects:
                person: 15
                car:    15
                dog:    15
                cat:    15
        
        
        
        # 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: False)
          enabled: True
          # Optional: save a clean PNG copy of the snapshot image (default: True)
          clean_copy: True
          # Optional: print a timestamp on the snapshots (default: False)
          timestamp: False
          # Optional: draw bounding box on the snapshots (default: False)
          bounding_box: True
          # Optional: crop the snapshot (default: False)
          crop: False
          # Optional: height to resize the snapshot to (default: original size)
          height: 0
          # 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:
            # Required: Default retention days (default: 10)
            default: 10
            # Optional: Per object retention days
            objects:
              person: 15
              car:    15
              dog:    15
              cat:    15
        
        
        # Optional
        ui:
          # Optional: Set the default live mode for cameras in the UI (default: mse)
          live_mode: mse
          # Optional: Set a timezone to use in the UI (default: use browser local time)
           #timezone: America/Denver
          # Optional: Use an experimental recordings / camera view UI (default: false)
          use_experimental: False
          # Optional: Set the time format used.
          # Options are browser, 12hour, or 24hour (default: browser)
          time_format: browser
          # 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: short).
          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: medium).
          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"
        

        Dank der Integration von go2rtc kann man jetzt auch auf dem iPhone problemlos sich den Live Stream anzeigen lassen ohne eine weiter App nutzen zu müssen.

        In der VIS dann einfach ein iFrame-Widget einsetzten und als Quelle folgendes eingeben:

        http://192.168.188.40:5002/live/webrtc/webrtc.html?src=Flur
        

        Die IP und Port entspricht dabei den von Frigate.

        P Offline
        P Offline
        paeppi
        schrieb am zuletzt editiert von
        #59

        @sidm Vielen Dank. Die Config werde ich gleich mal testen.

        Ja das mit der Reolink habe ich auch gelesen. Die steht aktuell eh nur im Kinderzimmer und ist nicht wirklich wichtig. Die war eher zu testen und spielen Gedacht.
        Da ich aktuell ein Gerüst ums Haus stehen habe war eben jetzt die Überlegung gleich 2-3 Kameras anzubringen. Dass der Entwickler Dahua oder Hikvision vorschlägt habe ich schon gesehen und auch schon angeschaut. Sind interessante Produkte. Nur hatte ich noch keine Zeit mich damit auseinander zu setzen ob evtl. PTZ geht.

        Grüße
        Patrick

        1 Antwort Letzte Antwort
        0
        • P paeppi

          @sidm sagte in [gelöst] Widget für RTSP Stream:

          Frigate gibt es seit diesen Jahr in der Version 0.12.0 und hat jetzt die Integration von go2rtc
          Damit und den iframe-Widget ist es nun möglich das Livebild inkl. Ton in der VIS anzuzeigen!

          Hast du dazu mal ein Beispiel Config? Aktuell teste ich mit einer Reolink E1 Zoom und probiere jetzt schon mehrere Tage das go2rtc so aufzubereiten dass es die VIS anzeigen kann. Irgendwo ist da noch ein Knoten bei mir im Hirn.

          Der Coral USB ist schon im Warenkorb.

          Grüße
          Patrick

          WalW Online
          WalW Online
          Wal
          Developer
          schrieb am zuletzt editiert von Wal
          #60

          @paeppi ,
          hier meine minimale, du must nur unter go2rtc deine rtsp-Url eintragen:

          detectors:
            ov:
              type: openvino
              device: AUTO
              model:
                path: /openvino-model/ssdlite_mobilenet_v2.xml
           
          model:
            width: 300
            height: 300
            input_tensor: nhwc
            input_pixel_format: bgr
            labelmap_path: /openvino-model/coco_91cl_bkgr.txt
          
          mqtt:
            host: 192.168.122.20
            user: user
            password: 012345678
            port: 1234
          
          go2rtc:
            streams:
              rtsp_cam:
                - rtsp://admin:12345678@192.168.122.100:554/h264Preview_01_main
                - "ffmpeg:rtsp_cam#audio=opus"
          
          cameras:
            rtsp_cam:
              ffmpeg:
                inputs:
                  - path: rtsp://127.0.0.1:8554/rtsp_cam
                    input_args: preset-rtsp-restream
                    roles:
                      - record
          

          diese Ports müssen in der docker yml freigeschaltet werden:

              ports:
                - "5000:5000"
                - "1935:1935" # RTMP feeds
                - "1984:1984"
                - "8555:8555/tcp" # WebRTC over tcp
                - "8555:8555/udp" # WebRTC over udp
          

          danach kannst du unter http://ip:1984 das aufrufen:
          Screenshot 2023-05-10 212807.png
          und die htmlstreams unter links für die Vis testen

          Gruß
          Walter

          DoorIO-Adapter
          wioBrowser-Adapter und wioBrowser

          S 1 Antwort Letzte Antwort
          3
          • WalW Wal

            @paeppi ,
            hier meine minimale, du must nur unter go2rtc deine rtsp-Url eintragen:

            detectors:
              ov:
                type: openvino
                device: AUTO
                model:
                  path: /openvino-model/ssdlite_mobilenet_v2.xml
             
            model:
              width: 300
              height: 300
              input_tensor: nhwc
              input_pixel_format: bgr
              labelmap_path: /openvino-model/coco_91cl_bkgr.txt
            
            mqtt:
              host: 192.168.122.20
              user: user
              password: 012345678
              port: 1234
            
            go2rtc:
              streams:
                rtsp_cam:
                  - rtsp://admin:12345678@192.168.122.100:554/h264Preview_01_main
                  - "ffmpeg:rtsp_cam#audio=opus"
            
            cameras:
              rtsp_cam:
                ffmpeg:
                  inputs:
                    - path: rtsp://127.0.0.1:8554/rtsp_cam
                      input_args: preset-rtsp-restream
                      roles:
                        - record
            

            diese Ports müssen in der docker yml freigeschaltet werden:

                ports:
                  - "5000:5000"
                  - "1935:1935" # RTMP feeds
                  - "1984:1984"
                  - "8555:8555/tcp" # WebRTC over tcp
                  - "8555:8555/udp" # WebRTC over udp
            

            danach kannst du unter http://ip:1984 das aufrufen:
            Screenshot 2023-05-10 212807.png
            und die htmlstreams unter links für die Vis testen

            S Offline
            S Offline
            SidM
            schrieb am zuletzt editiert von
            #61

            @wal

            Du hast doch auch ne Coralle. Hast du mal beides getestet? Also die Google Coralle und OpenVino in der Config,yml? Sollte doch gehen? Ob es etwas bringt :man-shrugging:

            WalW 1 Antwort Letzte Antwort
            0
            • S SidM

              @wal

              Du hast doch auch ne Coralle. Hast du mal beides getestet? Also die Google Coralle und OpenVino in der Config,yml? Sollte doch gehen? Ob es etwas bringt :man-shrugging:

              WalW Online
              WalW Online
              Wal
              Developer
              schrieb am zuletzt editiert von Wal
              #62

              @sidm ,
              das kann ich erst richtig bei mehr als 2 Kameras testen, die ich i.M. nicht habe.
              Mit Vino habe ich auch nur 10ms Inference Speed, mit der Coral Dual TPU 6,56ms und die CPU Last ist fast gleich.
              Wenn es der Gelbeutel zu lässt und ich die richtige Kamera gefunden habe, werde ich das Haus ausstatten. 😉
              Die Reolink 810A die ich refurbished gekauft habe ist schon super, ich liebäugele aber mit der 812A Nachtfarbversion.
              Die Probleme die manche mit Reolinkkameras unter frigate haben, kann ich auch nicht bestätigen.

              Edit: Gleichzeitig geht nicht.

              Gruß
              Walter

              DoorIO-Adapter
              wioBrowser-Adapter und wioBrowser

              S 1 Antwort Letzte Antwort
              1
              • WalW Wal

                @sidm ,
                das kann ich erst richtig bei mehr als 2 Kameras testen, die ich i.M. nicht habe.
                Mit Vino habe ich auch nur 10ms Inference Speed, mit der Coral Dual TPU 6,56ms und die CPU Last ist fast gleich.
                Wenn es der Gelbeutel zu lässt und ich die richtige Kamera gefunden habe, werde ich das Haus ausstatten. 😉
                Die Reolink 810A die ich refurbished gekauft habe ist schon super, ich liebäugele aber mit der 812A Nachtfarbversion.
                Die Probleme die manche mit Reolinkkameras unter frigate haben, kann ich auch nicht bestätigen.

                Edit: Gleichzeitig geht nicht.

                S Offline
                S Offline
                SidM
                schrieb am zuletzt editiert von
                #63

                @wal

                Danke für die Info sehr interessant, muss ich bei Gelegenheit auch mal ausprobieren. Vino unterstützung gibt es ja erst mit Version 0.12.0
                Ich wünschte meine Erfahrung mit Reolink wäre auch auch besser, das Bild was meine machen ist schon gut, nur die Aussetzer zwischen drinnen sind halt extrem nervig.

                Ich habe ja oben meine Config gespeichert, sieht deine auch so aus, also was den Kamerastream bestrifft?
                Nutzt du den RTSP Stream oder den HTTP stream. RTMP gibt es ja auch noch,

                Am Anfang hab ich den RTSP genutzt, war aber auch nicht besser als HTTP. Ob ich den RTMP genutzt habe, weiß ich gar nicht mehr :man-facepalming:

                WalW 1 Antwort Letzte Antwort
                0
                • S SidM

                  @wal

                  Danke für die Info sehr interessant, muss ich bei Gelegenheit auch mal ausprobieren. Vino unterstützung gibt es ja erst mit Version 0.12.0
                  Ich wünschte meine Erfahrung mit Reolink wäre auch auch besser, das Bild was meine machen ist schon gut, nur die Aussetzer zwischen drinnen sind halt extrem nervig.

                  Ich habe ja oben meine Config gespeichert, sieht deine auch so aus, also was den Kamerastream bestrifft?
                  Nutzt du den RTSP Stream oder den HTTP stream. RTMP gibt es ja auch noch,

                  Am Anfang hab ich den RTSP genutzt, war aber auch nicht besser als HTTP. Ob ich den RTMP genutzt habe, weiß ich gar nicht mehr :man-facepalming:

                  WalW Online
                  WalW Online
                  Wal
                  Developer
                  schrieb am zuletzt editiert von
                  #64

                  @sidm ,
                  wir haben ja verschiedene Cams, es wird daran liegen.

                  Gruß
                  Walter

                  DoorIO-Adapter
                  wioBrowser-Adapter und wioBrowser

                  1 Antwort Letzte Antwort
                  0
                  • S Offline
                    S Offline
                    SidM
                    schrieb am zuletzt editiert von
                    #65

                    @wal

                    Ich habe eben auch nochmal gespielt.

                    Weder RTSP noch RTMP funktioniert mit go2rtc zuverlässig. Da ist wirklich HTTP am besten geeignet...

                    Ich werde irgendwann werde ich mal Dahua probieren.

                    1 Antwort Letzte Antwort
                    1
                    • S SidM

                      @paeppi

                      Hallo Patrick, bei der Umstellung auf go2rtc musste ich auch erst ein wenig probieren.
                      Wenn ich dir ein Rat geben kann, versuche andere Kameras als Reolink zu nutzen. Versuche welche von Dahua, Hikvision, and Amcrest zu nehmen, wie es der Entwickler vorschlägt.

                      Ich habe 3 Reolinks (hatte ich vor Frigate NVR) und eine davon ( RLC-510A ) hat bei den aufnahmen immer mal Aussetzer (Ton läuft noch Bild friert aber ein, oder auch mal komplett Schwarzes Bild).

                      Meine Konfig sieht so aus:

                      mqtt:
                        # Optional: Enable mqtt server (default: false)
                        enabled: True
                        # Required: host name
                        host: 192.168.188.40
                        # Optional: port (default: shown below)
                        port: 1886
                        # Optional: topic prefix (default: frigate)
                        # NOTE: must be unique if you are running multiple instances
                        topic_prefix: frigate
                        # Optional: client id (default: frigate)
                        # NOTE: must be unique if you are running multiple instances
                        client_id: frigate
                        # Optional: interval in seconds for publishing stats (default: 60)
                        stats_interval: 5
                      
                      
                      detectors: # <---- add detectors
                        coral:
                          type: edgetpu
                          device: usb
                      
                      
                      ffmpeg:
                        hwaccel_args: preset-vaapi
                        output_args:
                          # Optional: output args for detect streams (default: shown below)
                          detect: -f rawvideo -pix_fmt yuv420p
                          # Optional: output args for record streams (default: shown below)
                          record: -f segment -segment_time 10 -segment_format mp4 -reset_timestamps 1 -strftime 1 -c copy
                          # Optional: output args for rtmp streams (default: shown below)
                          
                      
                      go2rtc:
                        streams:
                          Hof:
                            - http://192.168.188.38/flv?port=1935&app=bcs&stream=channel0_main.bcs&user=**********&password=**********
                            - "ffmpeg:Hof#audio=opus" # <- copy of the stream which transcodes audio to the missing codec (usually will be opus)
                          Hof_Sub:
                            - http://192.168.188.38/flv?port=1935&app=bcs&stream=channel0_ext.bcs&user=**********&password=**********
                          Werkstatt:
                            - http://192.168.188.23/flv?port=1935&app=bcs&stream=channel0_main.bcs&user=**********&password=**********
                            - "ffmpeg:Werkstatt#audio=opus" # <- copy of the stream which transcodes audio to the missing codec (usually will be opus)
                          Werkstatt_Sub:
                            - http://192.168.188.23/flv?port=1935&app=bcs&stream=channel0_ext.bcs&user=**********&password=**********
                          Flur:
                            - http://192.168.188.36/flv?port=1935&app=bcs&stream=channel0_main.bcs&user=**********&password=**********
                            - "ffmpeg:Flur#audio=opus" # <- copy of the stream which transcodes audio to the missing codec (usually will be opus)
                          Flur_Sub:
                            - http://192.168.188.36/flv?port=1935&app=bcs&stream=channel0_ext.bcs&user=**********&password=**********
                        webrtc:
                          candidates:
                            - 192.168.188.40:8555
                            - stun:8555
                      
                      
                      
                      cameras:
                        Hof: # <------ Name the camera
                          ffmpeg:
                            output_args:
                              record: preset-record-generic-audio-copy
                            inputs:
                              - path: rtsp://127.0.0.1:8554/Hof?video=copy&audio=aac # <--- the name here must match the name of the camera in restream
                                input_args: preset-rtsp-restream
                                roles:
                                  - record
                              - path: rtsp://127.0.0.1:8554/Hof_Sub?video=copy # <----- The stream you want to use for detection
                                input_args: preset-rtsp-restream
                                roles:
                                  - detect
                          detect:
                            enabled: True # <---- disable detection until you have a working camera feed
                            width: 2560 # <---- update for your camera's resolution
                            height: 1920 # <---- update for your camera's resolution
                          record: # <----- Enable recording
                            enabled: True
                          snapshots: # <----- Enable snapshots
                            enabled: True
                          motion:
                            mask:
                              - 2024,238,1528,171,1330,189,1124,214,1081,342,751,336,748,379,379,385,0,407,0,192,0,0,837,0,2560,0,2560,157,2560,360
                              - 1194,1920,1041,1783,0,1791,0,1920
                          zones:
                            Bewegung Hofeinfahrt:
                              coordinates: 747,396,0,437,0,566,117,548,122,743,412,699,715,671,718,515,743,512
                            Bewegung Innenhof:
                              coordinates: 0,1920,0,580,112,551,122,749,746,682,737,346,1086,336,1086,221,1544,163,1704,176,2130,253,2560,362,2560,1920
                            Bewegung Doppelgarage:
                              coordinates: 2378,1892,2180,1822,2102,1718,2226,1316,2390,1018,2560,1082,2560,1552
                      
                      
                        Werkstatt:
                          ffmpeg:
                            output_args:
                              record: preset-record-generic-audio-copy
                            inputs:
                              - path: rtsp://127.0.0.1:8554/Werkstatt?video=copy&audio=aac # <--- the name here must match the name of the camera in restream
                                input_args: preset-rtsp-restream
                                roles:
                                  - record
                              - path: rtsp://127.0.0.1:8554/Werkstatt_Sub?video=copy # <----- The stream you want to use for detection
                                input_args: preset-rtsp-restream
                                roles:
                                  - detect
                          detect:
                            enabled: True # <---- disable detection until you have a working camera feed
                            width: 2560 # <---- update for your camera's resolution
                            height: 1920 # <---- update for your camera's resolution
                          record: # <----- Enable recording
                            enabled: True
                          snapshots: # <----- Enable snapshots
                            enabled: True
                          motion:
                            mask:
                              - 1828,42,1827,133,730,123,730,39
                          zones:
                            Bewegung Werkstatt:
                              coordinates: 0,1920,0,0,2560,0,2560,1920
                      
                      
                      
                        Flur:
                          ffmpeg:
                            output_args:
                              record: preset-record-generic-audio-copy
                            inputs:
                              - path: rtsp://127.0.0.1:8554/Flur?video=copy&audio=aac # <--- the name here must match the name of the camera in restream
                                input_args: preset-rtsp-restream
                                roles:
                                  - record
                              - path: rtsp://127.0.0.1:8554/Flur_Sub?video=copy # <----- The stream you want to use for detection
                                input_args: preset-rtsp-restream
                                roles:
                                  - detect
                          detect:
                            enabled: True # <---- disable detection until you have a working camera feed
                            width: 2560 # <---- update for your camera's resolution
                            height: 1920 # <---- update for your camera's resolution
                          record: # <----- Enable recording
                            enabled: True
                          snapshots: # <----- Enable snapshots
                            enabled: True
                          motion:
                            mask:
                              - 1828,133,1823,25,715,34,716,139
                          zones:
                            Bewegung Flur:
                              coordinates: 0,1920,0,0,2560,0,2560,1920
                      
                      
                      # Optional: Object configuration
                      # NOTE: Can be overridden at the camera level
                      objects:
                        # Optional: list of objects to track from labelmap.txt (default: shown below)
                        track:
                          - person
                          - car
                          - cat
                          - dog
                          - bird
                        # 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: 0,0,1000,0,1000,200,0,200
                        # Optional: filters to reduce false positives for specific object types
                        filters:
                          person:
                            # Optional: minimum width*height of the bounding box for the detected object (default: 0)
                            min_area: 0
                            # Optional: maximum width*height of the bounding box for the detected object (default: 24000000)
                            max_area: 24000000
                            # Optional: minimum score for the object to initiate tracking (default: shown below)
                            min_score: 0.5
                            # Optional: minimum decimal percentage for tracked object's computed score to be considered a true positive (default: shown below)
                            threshold: 0.7
                            # Optional: mask to prevent this object type from being detected in certain areas (default: no mask)
                            # Checks based on the bottom center of the bounding box of the object
                            mask: 0,0,1000,0,1000,200,0,200
                            
                      
                      
                      # 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: "%d/%m/%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: 2
                        # Optional: Effect of lettering (default: shown below)
                        #           None (No effect),
                        #           "solid" (solid background in inverse color of font)
                        #           "shadow" (shadow for font)
                        effect: solid
                        
                      
                      
                      # Optional: birdseye configuration
                      # NOTE: Can (enabled, mode) be overridden at the camera level
                      birdseye:
                        # Optional: Enable birdseye view (default: True)
                        enabled: True
                        # Optional: Restream birdseye via RTSP (default: False)
                        # NOTE: Enabling this will set birdseye to run 24/7 which may increase CPU usage somewhat.
                        restream: False
                        # Optional: Width of the output resolution (default: 1280)
                        width: 2560
                        # Optional: Height of the output resolution (default: 720)
                        height: 1920
                        # Optional: Encoding quality of the mpeg1 feed (default: 8)
                        # 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: motion
                      
                      
                      
                      # Optional: Record configuration
                      # NOTE: Can be overridden at the camera level
                      record:
                        # Optional: Enable recording (default: False)
                        # WARNING: If recording is disabled in the config, turning it on via
                        #          the UI or MQTT later will have no effect.
                        enabled: True
                        # Optional: Number of minutes to wait between cleanup runs (default: 60)
                        # 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: 0)
                          # 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: 5)
                          pre_capture: 15
                          # Optional: Number of seconds after the event to include (default: 5)
                          post_capture: 15
                          # Optional: Objects to save recordings for. (default: all tracked objects)
                          objects:
                            - person
                            - car
                            - dog
                            - cat
                            - bird
                      
                          # Optional: Restrict recordings to objects that entered any of the listed zones (default: no required zones)
                          required_zones: []
                          # Optional: Retention settings for recordings of events
                          retain:
                            # Required: Default retention days (default: 10)
                            default: 10
                            # Optional: Mode for retention. (default: motion)
                            #   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: motion
                            # Optional: Per object retention days
                            objects:
                              person: 15
                              car:    15
                              dog:    15
                              cat:    15
                      
                      
                      
                      # 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: False)
                        enabled: True
                        # Optional: save a clean PNG copy of the snapshot image (default: True)
                        clean_copy: True
                        # Optional: print a timestamp on the snapshots (default: False)
                        timestamp: False
                        # Optional: draw bounding box on the snapshots (default: False)
                        bounding_box: True
                        # Optional: crop the snapshot (default: False)
                        crop: False
                        # Optional: height to resize the snapshot to (default: original size)
                        height: 0
                        # 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:
                          # Required: Default retention days (default: 10)
                          default: 10
                          # Optional: Per object retention days
                          objects:
                            person: 15
                            car:    15
                            dog:    15
                            cat:    15
                      
                      
                      # Optional
                      ui:
                        # Optional: Set the default live mode for cameras in the UI (default: mse)
                        live_mode: mse
                        # Optional: Set a timezone to use in the UI (default: use browser local time)
                         #timezone: America/Denver
                        # Optional: Use an experimental recordings / camera view UI (default: false)
                        use_experimental: False
                        # Optional: Set the time format used.
                        # Options are browser, 12hour, or 24hour (default: browser)
                        time_format: browser
                        # 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: short).
                        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: medium).
                        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"
                      

                      Dank der Integration von go2rtc kann man jetzt auch auf dem iPhone problemlos sich den Live Stream anzeigen lassen ohne eine weiter App nutzen zu müssen.

                      In der VIS dann einfach ein iFrame-Widget einsetzten und als Quelle folgendes eingeben:

                      http://192.168.188.40:5002/live/webrtc/webrtc.html?src=Flur
                      

                      Die IP und Port entspricht dabei den von Frigate.

                      K Offline
                      K Offline
                      Kopterframe
                      schrieb am zuletzt editiert von
                      #66

                      @sidm
                      Servus,
                      ich habe deine config mal ausprobiert.
                      Die Streams gehen im Iobroker und auf allen Geräten (PC IPhone …) aber nicht auf einem android 13 Tablet.
                      Ich habe keine Ahnung warum das so ist?????
                      Grüße Heiko

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