Get relative positional embeddings according to the relative positions of query and key sizes. Args: q_size (int): size of qu

Get relative positional embeddings according to the relative positions of query and key sizes. Args: q_size (int): size of qu

r"""Return a sorted list of scenes

Loads a global Ultralytics settings YAML file or creates one with default values if it does not exist. Args: file (Path): Path to th

Loads a global Ultralytics settings YAML file or creates one with default values if it does not exist. Args: file (Path): Path to th

Return GitHub repo tag and assets (i.e. ['yolov8n.pt', 'yolov8s.pt', ...]).

Return GitHub repo tag and assets (i.e. ['yolov8n.pt', 'yolov8s.pt', ...]).

Handle Ultralytics HUB command-line interface (CLI) commands. This function processes Ultralytics HUB CLI commands such as login and logout.

Handle Ultralytics HUB command-line interface (CLI) commands. This function processes Ultralytics HUB CLI commands such as login and logout.

Initialize object tracking with detections and scores using STrack algorithm.

Initialize object tracking with detections and scores using STrack algorithm.

Compute cost based on IoU :type atlbrs: list[tlbr] | np.ndarray :type atlbrs: list[tlbr] | np.ndarray :rtype ious np.ndarray

Compute cost based on IoU :type atlbrs: list[tlbr] | np.ndarray :type atlbrs: list[tlbr] | np.ndarray :rtype ious np.ndarray

Determine if the script is running inside a Docker container. Returns: (bool): True if the script is running inside a Docker contain

Determine if the script is running inside a Docker container. Returns: (bool): True if the script is running inside a Docker contain

Check if the current script is running inside a Jupyter Notebook. Verified on Colab, Jupyterlab, Kaggle, Paperspace. Returns: (b

Check if the current script is running inside a Jupyter Notebook. Verified on Colab, Jupyterlab, Kaggle, Paperspace. Returns: (b

Returns True if model is of type DP or DDP.

Returns True if model is of type DP or DDP.

Plot keypoints on the image. Args: kpts (tensor): Predicted keypoints with shape [17, 3]. Each keypoint has (x, y, confidence).

Plot keypoints on the image. Args: kpts (tensor): Predicted keypoints with shape [17, 3]. Each keypoint has (x, y, confidence).

Load a CLIP model Parameters ---------- name : str A model name listed by `clip.available_models()`, or the path to a model check

Load a CLIP model Parameters ---------- name : str A model name listed by `clip.available_models()`, or the path to a model check

Load a CLIP model Parameters ---------- name : str A model name listed by `clip.available_models()`, or the path to a model check

YOLOv5 4-mosaic loader. Loads 1 image + 3 random images into a 4-image mosaic.

YOLOv5 4-mosaic loader. Loads 1 image + 3 random images into a 4-image mosaic.

Compute loss Args: batch (dict): Batch to compute loss on preds (torch.Tensor | List[torch.Tensor]): Predict

Compute loss Args: batch (dict): Batch to compute loss on preds (torch.Tensor | List[torch.Tensor]): Predict

Returns nearest x divisible by divisor.

Returns nearest x divisible by divisor.

Returns the mean Average Precision (mAP) over IoU thresholds of 0.5 - 0.95 in steps of 0.05. Returns: (float): The mAP o

Returns the mean Average Precision (mAP) over IoU thresholds of 0.5 - 0.95 in steps of 0.05. Returns: (float): The mAP o

Mark the track as removed.

Mark the track as removed.

Encode masks as uncompressed RLEs in the format expected by pycocotools.

Encode masks as uncompressed RLEs in the format expected by pycocotools.

Update state tracks positions and covariances using a homography matrix.

Update state tracks positions and covariances using a homography matrix.

Increment and return the global track ID counter.

Increment and return the global track ID counter.

Generate image of single frame from observation and info returned from a single environment step(). Args: observation: observation re

Creates a rudimentary frame for a panoramic observation. Includes RGB, depth, and a top-down map. TODO: create a visually-pleasing stitched pa

Creates a rudimentary frame for a panoramic observation. Includes RGB, depth, and a top-down map. TODO: create a visually-pleasing stitched pa

Args: imgsz (tuple): The image size. polygons (list[np.ndarray]): [N, M], N is the number of polygons, M is the number of points(

Args: imgsz (tuple): The image size. polygons (list[np.ndarray]): [N, M], N is the number of polygons, M is the number of points(

Remove padding and upscale masks to the original image size. Arguments: masks (torch.Tensor): Batched masks from the mask_

Remove padding and upscale masks to the original image size. Arguments: masks (torch.Tensor): Batched masks from the mask_

Converts YOLO predictions to COCO JSON format.

Converts YOLO predictions to COCO JSON format.

Normalize pixel values and pad to a square input.

Normalize pixel values and pad to a square input.

Project state distribution to measurement space. Parameters ---------- mean : ndarray The state's mean vector (8

Project state distribution to measurement space. Parameters ---------- mean : ndarray The state's mean vector (8

Project state distribution to measurement space. Parameters ---------- mean : ndarray The state's mean vector (8

Project state distribution to measurement space. Parameters ---------- mean : ndarray The state's mean vector (8

Reactivates a previously lost track with a new detection.

Reactivates a previously lost track with a new detection.

Remove small disconnected regions or holes in a mask, returning the mask and a modification indicator.

Remove small disconnected regions or holes in a mask, returning the mask and a modification indicator.

Inputs a list of segments (n,2) and returns a list of segments (n,2) up-sampled to n points each. Args: segments (list): a list of (n,

Inputs a list of segments (n,2) and returns a list of segments (n,2) up-sampled to n points each. Args: segments (list): a list of (n,

Return annotated image as array.

Return annotated image as array.

Compute a binary mask from an uncompressed RLE.

Compute a binary mask from an uncompressed RLE.

Execute all callbacks for a given event.

Execute all callbacks for a given event.