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Polygon Zone

PolygonZone

A class for defining a polygon-shaped zone within a frame for detecting objects.

Attributes:

Name Type Description
polygon ndarray

A polygon represented by a numpy array of shape (N, 2), containing the x, y coordinates of the points.
frame_resolution_wh Tuple[int, int]

The frame resolution (width, height)
triggering_anchors Iterable[Position]

A list of positions specifying which anchors of the detections bounding box to consider when deciding on whether the detection fits within the PolygonZone (default: (sv.Position.BOTTOM_CENTER,)).
current_count int

The current count of detected objects within the zone
mask ndarray

The 2D bool mask for the polygon zone
Source code in supervision/detection/tools/polygon_zone.py 
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class PolygonZone:
    """
    A class for defining a polygon-shaped zone within a frame for detecting objects.

    Attributes:
        polygon (np.ndarray): A polygon represented by a numpy array of shape
            `(N, 2)`, containing the `x`, `y` coordinates of the points.
        frame_resolution_wh (Tuple[int, int]): The frame resolution (width, height)
        triggering_anchors (Iterable[sv.Position]): A list of positions specifying
            which anchors of the detections bounding box to consider when deciding on
            whether the detection fits within the PolygonZone
            (default: (sv.Position.BOTTOM_CENTER,)).
        current_count (int): The current count of detected objects within the zone
        mask (np.ndarray): The 2D bool mask for the polygon zone
    """

    @deprecated_parameter(
        old_parameter="triggering_position",
        new_parameter="triggering_anchors",
        map_function=lambda x: [x],
        warning_message="`{old_parameter}` in `{function_name}` is deprecated and will "
        "be remove in `supervision-0.23.0`. Use '{new_parameter}' "
        "instead.",
    )
    def __init__(
        self,
        polygon: np.ndarray,
        frame_resolution_wh: Tuple[int, int],
        triggering_anchors: Iterable[Position] = (Position.BOTTOM_CENTER,),
    ):
        self.polygon = polygon.astype(int)
        self.frame_resolution_wh = frame_resolution_wh
        self.triggering_anchors = triggering_anchors

        self.current_count = 0

        width, height = frame_resolution_wh
        self.mask = polygon_to_mask(
            polygon=polygon, resolution_wh=(width + 1, height + 1)
        )

    def trigger(self, detections: Detections) -> np.ndarray:
        """
        Determines if the detections are within the polygon zone.

        Parameters:
            detections (Detections): The detections
                to be checked against the polygon zone

        Returns:
            np.ndarray: A boolean numpy array indicating
                if each detection is within the polygon zone
        """

        clipped_xyxy = clip_boxes(
            xyxy=detections.xyxy, resolution_wh=self.frame_resolution_wh
        )
        clipped_detections = replace(detections, xyxy=clipped_xyxy)
        all_clipped_anchors = np.array(
            [
                np.ceil(clipped_detections.get_anchors_coordinates(anchor)).astype(int)
                for anchor in self.triggering_anchors
            ]
        )

        is_in_zone = (
            self.mask[all_clipped_anchors[:, :, 1], all_clipped_anchors[:, :, 0]]
            .transpose()
            .astype(bool)
        )
        is_in_zone = np.all(is_in_zone, axis=1)

        self.current_count = int(np.sum(is_in_zone))
        return is_in_zone.astype(bool)

Functions

trigger(detections)

Determines if the detections are within the polygon zone.

Parameters:

Name Type Description Default
detections Detections

The detections to be checked against the polygon zone

 required

Returns:

Type Description
ndarray

np.ndarray: A boolean numpy array indicating if each detection is within the polygon zone
Source code in supervision/detection/tools/polygon_zone.py 
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def trigger(self, detections: Detections) -> np.ndarray:
    """
    Determines if the detections are within the polygon zone.

    Parameters:
        detections (Detections): The detections
            to be checked against the polygon zone

    Returns:
        np.ndarray: A boolean numpy array indicating
            if each detection is within the polygon zone
    """

    clipped_xyxy = clip_boxes(
        xyxy=detections.xyxy, resolution_wh=self.frame_resolution_wh
    )
    clipped_detections = replace(detections, xyxy=clipped_xyxy)
    all_clipped_anchors = np.array(
        [
            np.ceil(clipped_detections.get_anchors_coordinates(anchor)).astype(int)
            for anchor in self.triggering_anchors
        ]
    )

    is_in_zone = (
        self.mask[all_clipped_anchors[:, :, 1], all_clipped_anchors[:, :, 0]]
        .transpose()
        .astype(bool)
    )
    is_in_zone = np.all(is_in_zone, axis=1)

    self.current_count = int(np.sum(is_in_zone))
    return is_in_zone.astype(bool)

PolygonZoneAnnotator

A class for annotating a polygon-shaped zone within a frame with a count of detected objects.

Attributes:

Name Type Description
zone PolygonZone

The polygon zone to be annotated
color Color

The color to draw the polygon lines
thickness int

The thickness of the polygon lines, default is 2
text_color Color

The color of the text on the polygon, default is black
text_scale float

The scale of the text on the polygon, default is 0.5
text_thickness int

The thickness of the text on the polygon, default is 1
text_padding int

The padding around the text on the polygon, default is 10
font int

The font type for the text on the polygon, default is cv2.FONT_HERSHEY_SIMPLEX
center Tuple[int, int]

The center of the polygon for text placement
display_in_zone_count bool

Show the label of the zone or not. Default is True
Source code in supervision/detection/tools/polygon_zone.py 
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class PolygonZoneAnnotator:
    """
    A class for annotating a polygon-shaped zone within a
        frame with a count of detected objects.

    Attributes:
        zone (PolygonZone): The polygon zone to be annotated
        color (Color): The color to draw the polygon lines
        thickness (int): The thickness of the polygon lines, default is 2
        text_color (Color): The color of the text on the polygon, default is black
        text_scale (float): The scale of the text on the polygon, default is 0.5
        text_thickness (int): The thickness of the text on the polygon, default is 1
        text_padding (int): The padding around the text on the polygon, default is 10
        font (int): The font type for the text on the polygon,
            default is cv2.FONT_HERSHEY_SIMPLEX
        center (Tuple[int, int]): The center of the polygon for text placement
        display_in_zone_count (bool): Show the label of the zone or not. Default is True
    """

    def __init__(
        self,
        zone: PolygonZone,
        color: Color,
        thickness: int = 2,
        text_color: Color = Color.BLACK,
        text_scale: float = 0.5,
        text_thickness: int = 1,
        text_padding: int = 10,
        display_in_zone_count: bool = True,
    ):
        self.zone = zone
        self.color = color
        self.thickness = thickness
        self.text_color = text_color
        self.text_scale = text_scale
        self.text_thickness = text_thickness
        self.text_padding = text_padding
        self.font = cv2.FONT_HERSHEY_SIMPLEX
        self.center = get_polygon_center(polygon=zone.polygon)
        self.display_in_zone_count = display_in_zone_count

    def annotate(self, scene: np.ndarray, label: Optional[str] = None) -> np.ndarray:
        """
        Annotates the polygon zone within a frame with a count of detected objects.

        Parameters:
            scene (np.ndarray): The image on which the polygon zone will be annotated
            label (Optional[str]): An optional label for the count of detected objects
                within the polygon zone (default: None)

        Returns:
            np.ndarray: The image with the polygon zone and count of detected objects
        """
        annotated_frame = draw_polygon(
            scene=scene,
            polygon=self.zone.polygon,
            color=self.color,
            thickness=self.thickness,
        )

        if self.display_in_zone_count:
            annotated_frame = draw_text(
                scene=annotated_frame,
                text=str(self.zone.current_count) if label is None else label,
                text_anchor=self.center,
                background_color=self.color,
                text_color=self.text_color,
                text_scale=self.text_scale,
                text_thickness=self.text_thickness,
                text_padding=self.text_padding,
                text_font=self.font,
            )

        return annotated_frame

Functions

annotate(scene, label=None)

Annotates the polygon zone within a frame with a count of detected objects.

Parameters:

Name Type Description Default
scene ndarray

The image on which the polygon zone will be annotated

 required
label Optional[str]

An optional label for the count of detected objects within the polygon zone (default: None)

 None

Returns:

Type Description
ndarray

np.ndarray: The image with the polygon zone and count of detected objects
Source code in supervision/detection/tools/polygon_zone.py 
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def annotate(self, scene: np.ndarray, label: Optional[str] = None) -> np.ndarray:
    """
    Annotates the polygon zone within a frame with a count of detected objects.

    Parameters:
        scene (np.ndarray): The image on which the polygon zone will be annotated
        label (Optional[str]): An optional label for the count of detected objects
            within the polygon zone (default: None)

    Returns:
        np.ndarray: The image with the polygon zone and count of detected objects
    """
    annotated_frame = draw_polygon(
        scene=scene,
        polygon=self.zone.polygon,
        color=self.color,
        thickness=self.thickness,
    )

    if self.display_in_zone_count:
        annotated_frame = draw_text(
            scene=annotated_frame,
            text=str(self.zone.current_count) if label is None else label,
            text_anchor=self.center,
            background_color=self.color,
            text_color=self.text_color,
            text_scale=self.text_scale,
            text_thickness=self.text_thickness,
            text_padding=self.text_padding,
            text_font=self.font,
        )

    return annotated_frame

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