Download font file to the user's configuration directory if it does not already exist. Args: font (str): Path to font file.

> It takes a list of bounding boxes and a shape (height, width) and clips the bounding boxes to the shape Args: boxes: the boundin

> Returns loss and individual loss items as Tensor.

Transform distance(ltrb) to box(xywh or xyxy).

> Returns dataloader derived from torch.data.Dataloader.

Check if the current script is running inside a Kaggle kernel. Returns: bool: True if running inside a Kaggle kernel, False otherwis

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

> It takes a list of segments (n,2) and returns a list of segments (n,2) where each segment has been up-sampled to n points Args:

> Convert 1 segment label to 1 box label, applying inside-image constraint, i.e. (xy1, xy2, ...) to (xyxy) Args: segment: the segme

> It converts segment labels to box labels, i.e. (cls, xy1, xy2, ...) to (cls, xywh) Args: segments: list of segments, each segment is

Strip optimizer from 'f' to finalize training, optionally save as 's'. Usage: from ultralytics.yolo.utils.torch_utils import strip_o

Warmup model by running inference once Args: imgsz: the size of the image you want to run inference on.

> It converts normalized segments into pixel segments of shape (n,2) Args: x: the normalized coordinates of the bounding box w:

Initializes the Exporter class. Args: config (str, optional): Path to a configuration file. Defaults to DEFAULT_CONFIG.

Strip model from key if present

convert polygon points to bitmap

> Loads the metadata from a yaml file Args: f: The path to the metadata file.

This function takes a path to a model file and returns the model type Args: p: path to the model file. Defaults to path/to

Return correct prediction matrix Arguments: detections (array[N, 6]), x1, y1, x2, y2, conf, class labels (arr

It takes a model, an input, and a list of times, and it profiles the model on the input, appending the time to the list Args

> Builds dataloaders and optimizer on correct rank process.