na

# to one camera or common between many / all cameras
objects:
  # REQUIRED: Name of the object
  cove_beach_gate:
    # REQUIRED: the list of color variants that this object can be detected as. Useful for
    # different lighting conditions
    color_variants:
      # REQUIRED: the name of the color variant
      night:
        # REQUIRED: the lower R, G, B values that are considered a potential match for the
        # color variant of the object.
        color_lower: 220, 150, 150
        # REQUIRED: the upper R, G, B values that are considered a potential match for the
        # color variant of the object.
        color_upper: 255, 255, 255
        # OPTIONAL: the time range for when this color variant is allowed
        # NOTE: make sure that /etc/localtime is passed to the container so it has valid time
        time_range:
          # OPTIONAL: Color variant is valid if current time is > this 24H time (Default: shown below).
          after: "16:30"
          # OPTIONAL: Color variant is valid if current time is < this 24H time (Default: shown below).
          before: "24:00"
      morning:
        # REQUIRED: the lower R, G, B values that are considered a potential match for the
        # color variant of the object.
        color_lower: 220, 150, 150
        # REQUIRED: the upper R, G, B values that are considered a potential match for the
        # color variant of the object.
        color_upper: 255, 255, 255
        # OPTIONAL: the time range for when this color variant is allowed
        # NOTE: make sure that /etc/localtime is passed to the container so it has valid time
        time_range:
          # OPTIONAL: Color variant is valid if current time is > this 24H time (Default: shown below).
          after: "00:00"
          # OPTIONAL: Color variant is valid if current time is < this 24H time (Default: shown below).
          before: "07:30"
      day:
        # REQUIRED: the lower R, G, B values that are considered a potential match for the
        # color variant of the object.
        color_lower: 0, 0, 70
        # REQUIRED: the upper R, G, B values that are considered a potential match for the
        # color variant of the object.
        color_upper: 90, 255, 255
        # OPTIONAL: the time range for when this color variant is allowed
        # NOTE: make sure that /etc/localtime is passed to the container so it has valid time
        time_range:
          # OPTIONAL: Color variant is valid if current time is > this 24H time (Default: shown below).
          after: "07:30"
          # OPTIONAL: Color variant is valid if current time is < this 24H time (Default: shown below).
          before: "16:30"          
    # OPTIONAL: the min area of the bounding box around groups of matching R, G, B pixels
    # considered a true positive. This is not recommended to be set as a super small amount
    # could be a false positive. (Default: shown below)
    min_area: 1000
    # OPTIONAL: the max area of the bounding box around groups of pixels with R, G, B
    # values within the bounds to be considered a true positive (Default: shown below).
    max_area: 100000
    # OPTIONAL: the min ratio of width/height of bounding box for valid object detection (default: shown below).
    min_ratio: 0
     # OPTIONAL: the max ratio of width/height of bounding box for valid object detection (default: shown below).
    max_ratio: 24000000
    # REQUIRED: Define list of cameras that will be used for color detection.
cameras:
  # REQUIRED: Name of the camera
  cove_beach_gate:
    # OPTIONAL: Frequency in seconds to run detection on the camera.
    # a value of 0 disables auto detection (Default: shown below).
    auto_detect: 5
    # OPTIONAL: Configure the url and retention of snapshots. (Default: Shown Below)
    snapshot_config:
        # OPTIONAL: but highly recommended, setting the default url for a snapshot to be
        # processed by this camera. This is required for auto detection (Default: none).
        url: "http://hikvision-nvr/ISAPI/Streaming/channels/401/picture"
        # OPTIONAL: Whether or not to draw bounding boxes for confirmed objects in the snapshots (Default: shown below).
        bounding_box: true
        # OPTIONAL: Whether or not to save a clean png of the snapshot along with the annotated jpg (Default: shown below).
        clean_snapshot: true
        # OPTIONAL: Whether or not to save the snapshots of confirmed detections (Default: shown below).
        save_detections: true
        # OPTIONAL: Whether or not to save the snapshots of missed detections (Default: shown below).
        save_misses: true
        # OPTIONAL: Variations of snapshots to keep. Options are all, mask, crop (Default: shown below).
        mode: "all"
        # OPTIONAL: Number of days of snapshots to keep (Default: shown below).
        retain_days: 7
    # REQUIRED: Zones are cropped areas where the object can be expected to be.
    # This makes searching / matches for efficient and more predictable than searching
    # the entire image.
    zones:
      # REQUIRED: Name of the zone.
      gate:
        # REQUIRED: Coordinates to crop the zone by.
        # NOTE: The order of the coordinates are: x, y, x+w, y+h starting in the top left corner as 0, 0.
        coordinates: 255, 345, 340, 385
        # REQUIRED: List of objects that may be in this zone. These correspond to
        # the objects list defined previously and are matched by name.
        objects:
          - cove_beach_gate

Default. Attempting to install

# REQUIRED: Define a list of objects that are expected to be seen. These can be specific
# to one camera or common between many / all cameras
objects:
  # REQUIRED: Name of the object
  trash_can:
    color_variants:
      default:
        color_lower: 70, 70, 0
        color_upper: 110, 100, 50
        
# REQUIRED: Define list of cameras that will be used for color detection.
cameras:
  # REQUIRED: Name of the camera
  front_doorbell_cam:
    # REQUIRED: Zones are cropped areas where the object can be expected to be.
    # This makes searching / matches for efficient and more predictable than searching
    # the entire image.
    zones:
      # REQUIRED: Name of the zone.
      street:
        # REQUIRED: Coordinates to crop the zone by.
        # NOTE: The order of the coordinates are: x, y, x+w, y+h starting in the top left corner as 0, 0.
        coordinates: 225, 540, 350, 620
        # REQUIRED: List of objects that may be in this zone. These correspond to
        # the objects list defined previously and are matched by name.
        objects:
          - trash_can

objects:
  water_meter:
    color_variants:
      default:
        color_lower: 0, 0, 150
        color_upper: 255, 130, 255
    
cameras:
  BB_Camera:
    snapshot_config:
        url: "http://HA/lastimage.jpeg"
    zones:
      full_view:
        coordinates: 225, 25, 360, 360
        objects:
          - water_meter
      water_needed:
        coordinates: 300, 300, 365, 360
        objects:
          - water_meter

# REQUIRED: Define a list of objects that are expected to be seen. These can be specific
# to one camera or common between many / all cameras
objects:
  # REQUIRED: Name of the object
  trash_can:
    # REQUIRED: the list of color variants that this object can be detected as. Useful for
    # different lighting conditions
    color_variants:
      # REQUIRED: the name of the color variant
      default:
        # REQUIRED: the lower R, G, B values that are considered a potential match for the
        # color variant of the object.
        color_lower: 70, 70, 0
        # REQUIRED: the upper R, G, B values that are considered a potential match for the
        # color variant of the object.
        color_upper: 110, 100, 50
        # OPTIONAL: the time range for when this color variant is allowed
        # NOTE: make sure that /etc/localtime is passed to the container so it has valid time
        time_range:
          # OPTIONAL: Color variant is valid if current time is > this 24H time (Default: shown below).
          after: "00:00"
          # OPTIONAL: Color variant is valid if current time is < this 24H time (Default: shown below).
          before: "24:00"
    # OPTIONAL: the min area of the bounding box around groups of matching R, G, B pixels
    # considered a true positive. This is not recommended to be set as a super small amount
    # could be a false positive. (Default: shown below)
    min_area: 1000
    # OPTIONAL: the max area of the bounding box around groups of pixels with R, G, B
    # values within the bounds to be considered a true positive (Default: shown below).
    max_area: 100000
    # OPTIONAL: the min ratio of width/height of bounding box for valid object detection (default: shown below).
    min_ratio: 0
     # OPTIONAL: the max ratio of width/height of bounding box for valid object detection (default: shown below).
    max_ratio: 24000000
# REQUIRED: Define list of cameras that will be used for color detection.
cameras:
  # REQUIRED: Name of the camera
  porch:
    # OPTIONAL: Frequency in seconds to run detection on the camera.
    # a value of 0 disables auto detection (Default: shown below).
    auto_detect: 0
    # OPTIONAL: Configure the url and retention of snapshots. (Default: Shown Below)
    snapshot_config:
        # OPTIONAL: but highly recommended, setting the default url for a snapshot to be
        # processed by this camera. This is required for auto detection (Default: none).
        #url: "http://ip.ad.dr.ess/jpg"
        # OPTIONAL: Whether or not to draw bounding boxes for confirmed objects in the snapshots (Default: shown below).
        bounding_box: true
        # OPTIONAL: Whether or not to save a clean png of the snapshot along with the annotated jpg (Default: shown below).
        clean_snapshot: true
        # OPTIONAL: Whether or not to save the snapshots of confirmed detections (Default: shown below).
        save_detections: true
        # OPTIONAL: Whether or not to save the snapshots of missed detections (Default: shown below).
        save_misses: false
        # OPTIONAL: Variations of snapshots to keep. Options are all, mask, crop (Default: shown below).
        mode: "all"
        # OPTIONAL: Number of days of snapshots to keep (Default: shown below).
        retain_days: 7
    # REQUIRED: Zones are cropped areas where the object can be expected to be.
    # This makes searching / matches for efficient and more predictable than searching
    # the entire image.
    zones:
      # REQUIRED: Name of the zone.
      driveway_entry:
        # REQUIRED: Coordinates to crop the zone by.
        # NOTE: The order of the coordinates are: x, y, x+w, y+h starting in the top left corner as 0, 0.
        coordinates: 225, 540, 350, 620
        # REQUIRED: List of objects that may be in this zone. These correspond to
        # the objects list defined previously and are matched by name.
        objects:

# REQUIRED: Define list of cameras that will be used for color detection.
cameras:
  # REQUIRED: Name of the camera
  autokatos:
    # OPTIONAL: Frequency in seconds to run detection on the camera.
    # a value of 0 disables auto detection (Default: shown below).
    auto_detect: 10
    # OPTIONAL: Configure the url and retention of snapshots. (Default: Shown Below)
    snapshot_config:
        # OPTIONAL: but highly recommended, setting the default url for a snapshot to be
        # processed by this camera. This is required for auto detection (Default: none).
        url: "http://xxxx/cgi-bin/api.cgi?cmd=Snap&channel=6&rs=qwerty&user=xxxxx&password=xxxx"
        # OPTIONAL: Whether or not to save the snapshots of confirmed detections (Default: shown below).
        save_detections: true
        # OPTIONAL: Whether or not to save the snapshots of missed detections (Default: shown below).
        save_misses: true
        # OPTIONAL: Variations of snapshots to keep. Options are all, mask, crop (Default: shown below).
        mode: "all"
        # OPTIONAL: Number of days of snapshots to keep (Default: shown below).
        retain_days: 7
    # REQUIRED: Zones are cropped areas where the object can be expected to be.
    # This makes searching / matches for efficient and more predictable than searching
    # the entire image.
    zones:
      # REQUIRED: Name of the zone.
      vasenpuoli:
        # REQUIRED: Coordinates to crop the zone by.
        # NOTE: The order of the coordinates are: y, y+h, x, x+w starting in the top left corner as 0, 0.
        coordinates: 0,500,0,500
        # REQUIRED: List of objects that may be in this zone. These correspond to
        # the objects list defined previously and are matched by name.
        objects:
          - fiat
# REQUIRED: Define a list of objects that are expected to be seen. These can be specific
# to one camera or common between many / all cameras
objects:
  # REQUIRED: Name of the object
  fiat:
    # REQUIRED: the list of color variants that this object can be detected as. Useful for
    # different lighting conditions
    color_variants:
      name_of_variant:
        color_lower: 6, 21, 79
        color_upper: 255, 132, 252
        # OPTIONAL: the time range for when this color variant is allowed
        # NOTE: make sure that /etc/localtime is passed to the container so it has valid time
        #time_range:
          # OPTIONAL: Color variant is valid if current time is > this 24H time (Default: shown below).
          #after: "00:00"
          # OPTIONAL: Color variant is valid if current time is < this 24H time (Default: shown below).
          #before: "24:00"
    # OPTIONAL: the min number of pixels with R, G, B values within the bounds to be
    # considered a true positive. This is recommended to be set as a super small amount
    # could be a false positive. (Default: shown below)
    #min_area: 1000
    # OPTIONAL: the max number of pixels with R, G, B values within the bounds to be
    # considered a true positive (Default: shown below).
    #max_area: 100000

N/A

# REQUIRED: Define a list of objects that are expected to be seen. These can be specific
# to one camera or common between many / all cameras
objects:
  # REQUIRED: Name of the object
  awning:
    # REQUIRED: the list of color variants that this object can be detected as. Useful for
    # different lighting conditions
    color_variants:
      # REQUIRED: the name of the color variant
      default:
        # REQUIRED: the lower R, G, B values that are considered a potential match for the
        # color variant of the object.
        color_lower: 70, 70, 0
        # REQUIRED: the upper R, G, B values that are considered a potential match for the
        # color variant of the object.
        color_upper: 110, 100, 50
        # OPTIONAL: the time range for when this color variant is allowed
        # NOTE: make sure that /etc/localtime is passed to the container so it has valid time
        time_range:
          # OPTIONAL: Color variant is valid if current time is > this 24H time (Default: shown below).
          after: "00:00"
          # OPTIONAL: Color variant is valid if current time is < this 24H time (Default: shown below).
          before: "24:00"
    # OPTIONAL: the min area of the bounding box around groups of matching R, G, B pixels
    # considered a true positive. This is not recommended to be set as a super small amount
    # could be a false positive. (Default: shown below)
    min_area: 1000
    # OPTIONAL: the max area of the bounding box around groups of pixels with R, G, B
    # values within the bounds to be considered a true positive (Default: shown below).
    max_area: 100000
    # OPTIONAL: the min ratio of width/height of bounding box for valid object detection (default: shown below).
    min_ratio: 0
     # OPTIONAL: the max ratio of width/height of bounding box for valid object detection (default: shown below).
    max_ratio: 24000000

# REQUIRED: Define list of cameras that will be used for color detection.
cameras:
  # REQUIRED: Name of the camera
  dahua_3:
    # OPTIONAL: Frequency in seconds to run detection on the camera.
    # a value of 0 disables auto detection (Default: shown below).
    auto_detect: 0
#    # OPTIONAL: Configure the url and retention of snapshots. (Default: Shown Below)
#    snapshot_config:
#        # OPTIONAL: but highly recommended, setting the default url for a snapshot to be
#        # processed by this camera. This is required for auto detection (Default: none).
#        url: "http://ip.ad.dr.ess/jpg"
#        # OPTIONAL: Whether or not to draw bounding boxes for confirmed objects in the snapshots (Default: shown below).
#        bounding_box: true
#        # OPTIONAL: Whether or not to save a clean png of the snapshot along with the annotated jpg (Default: shown below).
#        clean_snapshot: true
#        # OPTIONAL: Whether or not to save the snapshots of confirmed detections (Default: shown below).
#        save_detections: true
#        # OPTIONAL: Whether or not to save the snapshots of missed detections (Default: shown below).
#        save_misses: false
#        # OPTIONAL: Variations of snapshots to keep. Options are all, mask, crop (Default: shown below).
#        mode: "all"
#        # OPTIONAL: Number of days of snapshots to keep (Default: shown below).
#        retain_days: 7
    # REQUIRED: Zones are cropped areas where the object can be expected to be.
    # This makes searching / matches for efficient and more predictable than searching
    # the entire image.
    zones:
      # REQUIRED: Name of the zone.
      top:
        # REQUIRED: Coordinates to crop the zone by.
        # NOTE: The order of the coordinates are: x, y, x+w, y+h starting in the top left corner as 0, 0.
        coordinates: 360, 0, 5600, 80
        # REQUIRED: List of objects that may be in this zone. These correspond to
        # the objects list defined previously and are matched by name.
        objects:
          - awning

# REQUIRED: Define a list of objects that are expected to be seen. These can be specific
# to one camera or common between many / all cameras
objects:
  # REQUIRED: Name of the object
  fireplace:
    # REQUIRED: the list of color variants that this object can be detected as. Useful for
    # different lighting conditions
    color_variants:
      # REQUIRED: the name of the color variant
      default:
        # REQUIRED: the lower R, G, B values that are considered a potential match for the
        # color variant of the object.
        color_lower: 70, 70, 0
        # REQUIRED: the upper R, G, B values that are considered a potential match for the
        # color variant of the object.
        color_upper: 110, 100, 50
        # OPTIONAL: the time range for when this color variant is allowed
        # NOTE: make sure that /etc/localtime is passed to the container so it has valid time
        time_range:
          # OPTIONAL: Color variant is valid if current time is > this 24H time (Default: shown below).
          after: "00:00"
          # OPTIONAL: Color variant is valid if current time is < this 24H time (Default: shown below).
          before: "24:00"
    # OPTIONAL: the min area of the bounding box around groups of matching R, G, B pixels
    # considered a true positive. This is not recommended to be set as a super small amount
    # could be a false positive. (Default: shown below)
    min_area: 1000
    # OPTIONAL: the max area of the bounding box around groups of pixels with R, G, B
    # values within the bounds to be considered a true positive (Default: shown below).
    max_area: 100000
    # OPTIONAL: the min ratio of width/height of bounding box for valid object detection (default: shown below).
    min_ratio:
      0
      # OPTIONAL: the max ratio of width/height of bounding box for valid object detection (default: shown below).
    max_ratio: 24000000

# REQUIRED: Define list of cameras that will be used for color detection.
cameras:
  # REQUIRED: Name of the camera
  living_room_cam:
    # OPTIONAL: Frequency in seconds to run detection on the camera.
    # a value of 0 disables auto detection (Default: shown below).
    auto_detect: 0
    # OPTIONAL: Configure the url and retention of snapshots. (Default: Shown Below)
    snapshot_config:
      # OPTIONAL: but highly recommended, setting the default url for a snapshot to be
      # processed by this camera. This is required for auto detection (Default: none).
      url: "https://wallpaperset.com/w/full/0/d/5/183330.jpg"
      # OPTIONAL: Whether or not to draw bounding boxes for confirmed objects in the snapshots (Default: shown below).
      bounding_box: true
      # OPTIONAL: Whether or not to save a clean png of the snapshot along with the annotated jpg (Default: shown below).
      clean_snapshot: true
      # OPTIONAL: Whether or not to save the snapshots of confirmed detections (Default: shown below).
      save_detections: true
      # OPTIONAL: Whether or not to save the snapshots of missed detections (Default: shown below).
      save_misses: false
      # OPTIONAL: Variations of snapshots to keep. Options are all, mask, crop (Default: shown below).
      mode: "all"
      # OPTIONAL: Number of days of snapshots to keep (Default: shown below).
      retain_days: 7
    # REQUIRED: Zones are cropped areas where the object can be expected to be.
    # This makes searching / matches for efficient and more predictable than searching
    # the entire image.
    zones:
      # REQUIRED: Name of the zone.
      street:
        # REQUIRED: Coordinates to crop the zone by.
        # NOTE: The order of the coordinates are: x, y, x+w, y+h starting in the top left corner as 0, 0.
        coordinates: 225, 540, 350, 620
        # REQUIRED: List of objects that may be in this zone. These correspond to
        # the objects list defined previously and are matched by name.
        objects:
          - fireplace

Not relevant for this issue

# REQUIRED: Define a list of objects that are expected to be seen. These can be specific
# to one camera or common between many / all cameras
objects:
  # REQUIRED: Name of the object
  trash_can:
    # REQUIRED: the list of color variants that this object can be detected as. Useful for
    # different lighting conditions
    color_variants:
      # REQUIRED: the name of the color variant
      default:
        # REQUIRED: the lower R, G, B values that are considered a potential match for the
        # color variant of the object.
        color_lower: 70, 70, 0
        # REQUIRED: the upper R, G, B values that are considered a potential match for the
        # color variant of the object.
        color_upper: 110, 100, 50
        # OPTIONAL: the time range for when this color variant is allowed
        # NOTE: make sure that /etc/localtime is passed to the container so it has valid time
        time_range:
          # OPTIONAL: Color variant is valid if current time is > this 24H time (Default: shown below).
          after: "00:00"
          # OPTIONAL: Color variant is valid if current time is < this 24H time (Default: shown below).
          before: "24:00"
    # OPTIONAL: the min number of pixels with R, G, B values within the bounds to be
    # considered a true positive. This is recommended to be set as a super small amount
    # could be a false positive. (Default: shown below)
    min_area: 1000
    # OPTIONAL: the max number of pixels with R, G, B values within the bounds to be
    # considered a true positive (Default: shown below).
    max_area: 100000
    
# REQUIRED: Define list of cameras that will be used for color detection.
cameras:
  # REQUIRED: Name of the camera
  GR:
    # OPTIONAL: Frequency in seconds to run detection on the camera.
    # a value of 0 disables auto detection (Default: shown below).
    auto_detect: 0
    # OPTIONAL: Configure the url and retention of snapshots. (Default: Shown Below)
    snapshot_config:
        # OPTIONAL: but highly recommended, setting the default url for a snapshot to be
        # processed by this camera. This is required for auto detection (Default: none).
        url: "http://ip.ad.dr.ess/jpg"
        # OPTIONAL: Whether or not to draw bounding boxes for confirmed objects in the snapshots (Default: shown below).
        bounding_box: true
        # OPTIONAL: Whether or not to save a clean png of the snapshot along with the annotated jpg (Default: shown below).
        clean_snapshot: true
        # OPTIONAL: Whether or not to save the snapshots of confirmed detections (Default: shown below).
        save_detections: true
        # OPTIONAL: Whether or not to save the snapshots of missed detections (Default: shown below).
        save_misses: false
        # OPTIONAL: Variations of snapshots to keep. Options are all, mask, crop (Default: shown below).
        mode: "all"
        # OPTIONAL: Number of days of snapshots to keep (Default: shown below).
        retain_days: 7
    # REQUIRED: Zones are cropped areas where the object can be expected to be.
    # This makes searching / matches for efficient and more predictable than searching
    # the entire image.
    zones:
      # REQUIRED: Name of the zone.
      street:
        # REQUIRED: Coordinates to crop the zone by.
        # NOTE: The order of the coordinates are: x, y, x+w, y+h starting in the top left corner as 0, 0.
        coordinates: 225, 540, 350, 620
        # REQUIRED: List of objects that may be in this zone. These correspond to
        # the objects list defined previously and are matched by name.
        objects:
          - trash_can

# REQUIRED: Define a list of objects that are expected to be seen. These can be specific
# to one camera or common between many / all cameras
objects:
  # REQUIRED: Name of the object
  stop_sign:
    # REQUIRED: the lower R, G, B values that are considered a potential match for the object.
    color_lower: 64, 22, 26
    # REQUIRED: the upper R, G, B values that are considered a potential match for the object.
    color_upper: 151, 36, 46
    # OPTIONAL: the min number of pixels with R, G, B values within the bounds to be
    # considered a true positive. This is recommended to be set as a super small amount
    # could be a false positive. (Default: shown below)
    min_area: 1000
    # OPTIONAL: the max number of pixels with R, G, B values within the bounds to be
    # considered a true positive (Default: shown below).
    max_area: 100000

# REQUIRED: Define list of cameras that will be used for color detection.
cameras:
  # REQUIRED: Name of the camera
  garage_cam:
    # REQUIRED: Zones are cropped areas where the object can be expected to be. 
    # This makes searching / matches for efficient and more predictable than searching
    # the entire image.
    zones:
      # REQUIRED: Name of the zone.
      door:
        # REQUIRED: Coordinates to crop the zone by. 
        coordinates: 645, 712, 1368, 1434
        # REQUIRED: List of objects that may be in this zone. These correspond to
        # the objects list defined previously and are matched by name.
        objects:
          - stop_sign

objects:
  garbage_bin:
    color_variants:
      default:
        color_lower: 120, 20, 40
        color_upper: 200, 100, 140
    min_area: 100
    max_area: 3000
cameras:
  front_yard_camera:
    auto_detect: 10
    snapshot_config:
        url: "http://HA:8123/local/snapshots/bin.jpg"
        bounding_box: true
        clean_snapshot: false
        save_detections: true
        save_misses: true
        mode: "all"
        retain_days: 7
    zones:
      front_yard:
        coordinates: 127, 443, 320, 670
        objects:
          - garbage_bin

# REQUIRED: Define a list of objects that are expected to be seen. These can be specific
# to one camera or common between many / all cameras
objects:
  # REQUIRED: Name of the object
  cancello1:
    # REQUIRED: the list of color variants that this object can be detected as. Useful for
    # different lighting conditions
    color_variants:
      # REQUIRED: the name of the color variant
      default:
        # REQUIRED: the lower R, G, B values that are considered a potential match for the
        # color variant of the object.
        color_lower: 70, 70, 0
        # REQUIRED: the upper R, G, B values that are considered a potential match for the
        # color variant of the object.
        color_upper: 110, 100, 50
        # OPTIONAL: the time range for when this color variant is allowed
        # NOTE: make sure that /etc/localtime is passed to the container so it has valid time
        time_range:
          # OPTIONAL: Color variant is valid if current time is > this 24H time (Default: shown below).
          after: "00:00"
          # OPTIONAL: Color variant is valid if current time is < this 24H time (Default: shown below).
          before: "24:00"
    # OPTIONAL: the min area of the bounding box around groups of matching R, G, B pixels
    # considered a true positive. This is not recommended to be set as a super small amount
    # could be a false positive. (Default: shown below)
    min_area: 1000
    # OPTIONAL: the max area of the bounding box around groups of pixels with R, G, B
    # values within the bounds to be considered a true positive (Default: shown below).
    max_area: 100000
    # OPTIONAL: the min ratio of width/height of bounding box for valid object detection (default: shown below).
    min_ratio: 0
     # OPTIONAL: the max ratio of width/height of bounding box for valid object detection (default: shown below).
    max_ratio: 24000000

# REQUIRED: Define list of cameras that will be used for color detection.
cameras:
  # REQUIRED: Name of the camera
  piazzale:
    # OPTIONAL: Frequency in seconds to run detection on the camera.
    # a value of 0 disables auto detection (Default: shown below).
    auto_detect: 0
    # OPTIONAL: Configure the url and retention of snapshots. (Default: Shown Below)
    snapshot_config:
        # OPTIONAL: but highly recommended, setting the default url for a snapshot to be
        # processed by this camera. This is required for auto detection (Default: none).
        url: "http://user:[email protected]/axis-cgi/jpg/image.cgi"
        # OPTIONAL: Whether or not to draw bounding boxes for confirmed objects in the snapshots (Default: shown below).
        bounding_box: true
        # OPTIONAL: Whether or not to save a clean png of the snapshot along with the annotated jpg (Default: shown below).
        clean_snapshot: true
        # OPTIONAL: Whether or not to save the snapshots of confirmed detections (Default: shown below).
        save_detections: true
        # OPTIONAL: Whether or not to save the snapshots of missed detections (Default: shown below).
        save_misses: false
        # OPTIONAL: Variations of snapshots to keep. Options are all, mask, crop (Default: shown below).
        mode: "all"
        # OPTIONAL: Number of days of snapshots to keep (Default: shown below).
        retain_days: 7
    # REQUIRED: Zones are cropped areas where the object can be expected to be.
    # This makes searching / matches for efficient and more predictable than searching
    # the entire image.
    zones:
      # REQUIRED: Name of the zone.
      street:
        # REQUIRED: Coordinates to crop the zone by.
        # NOTE: The order of the coordinates are: x, y, x+w, y+h starting in the top left corner as 0, 0.
        coordinates: 225, 540, 350, 620
        # REQUIRED: List of objects that may be in this zone. These correspond to
        # the objects list defined previously and are matched by name.
        objects:
          - cancello1

objects:
  # REQUIRED: Name of the object
  tube_light:
    # REQUIRED: the list of color variants that this object can be detected as. Useful for
    # different lighting conditions
    color_variants:
      # REQUIRED: the name of the color variant
      default:
        # REQUIRED: the lower R, G, B values that are considered a potential match for the
        # color variant of the object.
        color_lower: 70, 70, 0
        # REQUIRED: the upper R, G, B values that are considered a potential match for the
        # color variant of the object.
        color_upper: 110, 100, 50
        # OPTIONAL: the time range for when this color variant is allowed
        # NOTE: make sure that /etc/localtime is passed to the container so it has valid time
        time_range:
          # OPTIONAL: Color variant is valid if current time is > this 24H time (Default: shown below).
          after: "00:00"
          # OPTIONAL: Color variant is valid if current time is < this 24H time (Default: shown below).
          before: "24:00"
    # OPTIONAL: the min area of the bounding box around groups of matching R, G, B pixels
    # considered a true positive. This is not recommended to be set as a super small amount
    # could be a false positive. (Default: shown below)
    min_area: 2
    # OPTIONAL: the max area of the bounding box around groups of pixels with R, G, B
    # values within the bounds to be considered a true positive (Default: shown below).
    max_area: 100000
    # OPTIONAL: the min ratio of width/height of bounding box for valid object detection (default: shown below).
    min_ratio: 0
     # OPTIONAL: the max ratio of width/height of bounding box for valid object detection (default: shown below).
    max_ratio: 24000000
    
cameras:
  # REQUIRED: Name of the camera
  greatroom_cam:
    # OPTIONAL: Frequency in seconds to run detection on the camera.
    # a value of 0 disables auto detection (Default: shown below).
    auto_detect: 30
    # OPTIONAL: Configure the url and retention of snapshots. (Default: Shown Below)
    snapshot_config:
        # OPTIONAL: but highly recommended, setting the default url for a snapshot to be
        # processed by this camera. This is required for auto detection (Default: none).
        url: "http://192.168.0.5:5000/snapshot/dog-cam.jpg"
        # OPTIONAL: Whether or not to draw bounding boxes for confirmed objects in the snapshots (Default: shown below).
        bounding_box: true
        # OPTIONAL: Whether or not to save a clean png of the snapshot along with the annotated jpg (Default: shown below).
        clean_snapshot: true
        # OPTIONAL: Whether or not to save the snapshots of confirmed detections (Default: shown below).
        save_detections: true
        # OPTIONAL: Whether or not to save the snapshots of missed detections (Default: shown below).
        save_misses: false
        # OPTIONAL: Variations of snapshots to keep. Options are all, mask, crop (Default: shown below).
        mode: "all"
        # OPTIONAL: Number of days of snapshots to keep (Default: shown below).
        retain_days: 7
    # REQUIRED: Zones are cropped areas where the object can be expected to be.
    # This makes searching / matches for efficient and more predictable than searching
    # the entire image.
    zones:
      # REQUIRED: Name of the zone.
      livingroom:
        # REQUIRED: Coordinates to crop the zone by.
        # NOTE: The order of the coordinates are: x, y, x+w, y+h starting in the top left corner as 0, 0.
        coordinates: 1000, 0, 1200, 125
        # REQUIRED: List of objects that may be in this zone. These correspond to
        # the objects list defined previously and are matched by name.
        objects:
          - tube_light