Converts bounding box coordinates from `(x_min, y_min, x_max, y_max)` into measurement space to format `(center x, center y, aspect ratio, he

Converts bounding box coordinates from `(x_min, y_min, x_max, y_max)` format to `(x, y, width, height)` format. Args: xyxy: A nu

Returns a default color palette. Returns: A ColorPalette instance with default colors. Example: ```

Returns a Roboflow color palette. Returns: A ColorPalette instance with Roboflow colors. Example: `

NumPy interop: materialise as a dense ``(N, H, W)`` array. Called by ``np.asarray(compact_mask)`` and similar NumPy functions. Args:

Perform tiled inference on the full image and return merged detections. The first slice always runs synchronously so the output type

Element-wise equality with another :class:`CompactMask` or ndarray. Args: other: Another :class:`CompactMask` or ``np.ndarray``.

Override the __get__ method to return the result of the function call. Args: owner_self: The instance through which the

Returns: The image path, image data, and its corresponding annotation at index i.

Returns: The image path, image data, and its corresponding annotation at index i.

Get a subset of the Detections object or access an item from its data field. When provided with an integer, slice, list of integers,

Index into the mask collection. * ``int`` → dense ``(H, W)`` bool array (for annotators, iterators). * ``slice | list | ndarray`` → n

Get a subset of the KeyPoints object or access an item from its data field. Supports detection-level (skeleton) filtering, keypoint-

Initialize context manager for saving images to directory. Args: target_dir_path: Target directory path where images wil

Args: The function that is called when the property is accessed.

Args: sample_size: The maximum number of observations for latency benchmarking. Examples: ``

Initializes the _BaseLabelAnnotator. Args: color: The color to use for the label background.

Args: color: The color or color palette to use for annotating detections. thickness: Thickness of the

Args: color: The color or color palette to use for annotating detections. opacity: Opacity of the ove

Args: color: The color or color palette to use for annotating detections. thickness: Thickness of the

Args: color: The color or color palette to use for annotating detections. opacity: Opacity of the ove

Args: color: The color or color palette to use for annotating detections. opacity: Opacity of the ove

Args: color: The color or color palette to use for annotating detections. thickness: Thickness of the

Args: color: The color or color palette to use for annotating detections. thickness: Thickness of the

Args: color: The color or color palette to use for annotating detections. thickness: Thickness of the

Args: color: The color or color palette to use for annotating detections. radius: Radius of the drawn

Args: color: The color or color palette to use for annotating the text background. color_lookup: Stra

Args: color: The color or color palette to use for annotating the text background. color_lookup: Stra

Args: icon_resolution_wh: The size of drawn icons. All icons will be resized to this resolution, keeping the aspe

Args: kernel_size: The size of the average pooling kernel used for blurring. If not set, a dynamic size is comput

Args: color: The color to draw the trace, can be a single color or a color palette. position: The pos

Args: position: The position of the heatmap. Defaults to `BOTTOM_CENTER`. opacity: Opacity of the ove

Args: pixel_size: The size of the pixelation. If not set, a dynamic size is computed as one-half of the shorter b

Args: color: The color or color palette to use for annotating detections. base: The base width of the

Args: color: The color or color palette to use for annotating detections. thickness: Thickness of the

Args: height: The height in pixels of the percentage bar. width: The width in pixels of the percentage bar.

Args: position: The anchor position for placing the cropped and scaled part of the detection in the scene.

Args: color: The color to use for annotating detections. opacity: Opacity of the overlay mask. Must be between `0` an

Args: color_1: Color of areas only present in the first set of detections. color_2: Color of areas on

Initialize the Mean Average Recall metric. Args: metric_target: The type of detection data to use.

Constructor of EvaluationDataset object used to evaluate models with Mean Average Precision. Args: targets: The

Initialize all parameters for evaluation

Constructor of COCOEvaluator object. Args: coco_targets: The dataset with the ground truths. coco_prediction

Initialize the Mean Average Precision metric. Args: metric_target: The type of detection data to use. class_

Initialize the Recall metric. Args: metric_target: The type of detection data to use. averaging_method: The

Initialize the F1Score metric. Args: metric_target: The type of detection data to use. averaging_method: The

Initialize the Precision metric. Args: metric_target: The type of detection data to use. averaging_method: T

Args: start: The starting point of the line. end: The ending point of the line. triggering_anchors: A lis

A class for drawing the `LineZone` and its detected object count on an image. Args: thickness: Line thickness.

Draw a table showing how many items of each class crossed each line. Args: table_position: The position of the table.

Args: length: The maximum number of frames to consider for smoothing detections. Defaults to 5.

Initialize the JSONSink instance. Args: file_name: The name of the JSON file.

Initialize the CSVSink instance. Args: file_name: The name of the CSV file.

Initialize the ID counter. Args: start_id: The starting integer for the counter. Raises: ValueError

Args: color: The color to use for annotating key points. radius: The radius of the circles used to represent the key

Args: sigma: Sigma multipliers for each ring, drawn from outermost to innermost. Accepts a single float or a seq

Args: sigma: Sigma multipliers for each ring, drawn from outermost to innermost. Accepts a single float or a seq

Args: sigma: Sigma multipliers for each ring, drawn from outermost to innermost. Accepts a single float or a seq

Args: color: The color to use for each keypoint label. If a list is provided, the colors will be used in order fo

Initialize KeyPoints. Args: xy: Array of shape `(n, m, 2)` with keypoint coordinates. class_id: Array of shape `(n,)`