Ultralytics YOLO MultiBackend class for python inference on various backends Args: weights: the path to the weights file.

`_apply()` is a function that applies a function to all the tensors in the model that are not parameters or registered buffers

> Initializes a new model and infers the task type from the model head. Args: weights (str): model checkpoint to be load

> Initializes a new model and infers the task type from the model definitions. Args: cfg (str): model configuration file

> Appends the given callback.

AP@0.5:0.95 Return: (nc, ) or [].

AP@0.5 of all classes. Return: (nc, ) or [].

Autosplit a dataset into train/val/test splits and save path/autosplit_*.txt files Usage: from utils.dataloaders import *; autosplit() Argume

Run a specified task and mode with the given configuration. Args: cfg (DictConfig): Configuration for the task and mode.

Concatenates a list of Boxes into a single Bboxes Arguments: instances_list (list[Bboxes]) axis Ret

\brief Define a test for logging \param[in] name The name of the test. This should be a string starting with "TensorRT" and containing dot-separated

Transpose a PIL image accordingly if it has an EXIF Orientation tag. Inplace version of https://github.com/python-pillow/Pillow/blob/master/s