Standard convolution with args(ch_in, ch_out, kernel, stride, padding, groups, dilation, activation).

Standard convolution with args(ch_in, ch_out, kernel, stride, padding, groups, dilation, activation).

YOLO (You Only Look Once) object detection model. Args: model (str, Path): Path to the model file to load or create. task (A

YOLO (You Only Look Once) object detection model. Args: model (str, Path): Path to the model file to load or create. task (A

A class for storing and manipulating inference results. Args: orig_img (numpy.ndarray): The original image as a numpy array.

A class for storing and manipulating inference results. Args: orig_img (numpy.ndarray): The original image as a numpy array.

YOLOv8 Profile class. Usage: as a decorator with @Profile() or as a context manager with 'with Profile():'

YOLOv8 Profile class. Usage: as a decorator with @Profile() or as a context manager with 'with Profile():'

r""" Outputs: `Tuple` comprising various elements depending on the configuration (config) and inputs: **last_hidden_state**: ``torch.Float

r""" Outputs: `Tuple` comprising various elements depending on the configuration (config) and inputs: **last_hidden_state**: ``torch.Float

r""" Outputs: `Tuple` comprising various elements depending on the configuration (config) and inputs: **last_hidden_state**: ``torch.Float

Resize image and padding for detection, instance segmentation, pose.

Resize image and padding for detection, instance segmentation, pose.

Standard bottleneck.

Standard bottleneck.

A class for exporting a model. Attributes: args (SimpleNamespace): Configuration for the exporter. save_dir (Path): Director

Subclass torch's LayerNorm to handle fp16.

Subclass torch's LayerNorm to handle fp16.

Subclass torch's LayerNorm to handle fp16.

Class for computing evaluation metrics for YOLOv8 model. Attributes: p (list): Precision for each class. Shape: (nc,).

Class for computing evaluation metrics for YOLOv8 model. Attributes: p (list): Precision for each class. Shape: (nc,).

An attention layer that allows for downscaling the size of the embedding after projection to queries, keys, and values.

An attention layer that allows for downscaling the size of the embedding after projection to queries, keys, and values.

Now only numpy is supported.

Now only numpy is supported.

A class for exporting a model. Attributes: args (SimpleNamespace): Configuration for the exporter. save_dir (Path): Director

r"""A placeholder identity operator that is argument-insensitive.

r"""A placeholder identity operator that is argument-insensitive.

r"""A placeholder identity operator that is argument-insensitive.

Depth-wise convolution.

Depth-wise convolution.

Ultralytics IterableSimpleNamespace is an extension class of SimpleNamespace that adds iterable functionality and enables usage with dict() a

Ultralytics IterableSimpleNamespace is an extension class of SimpleNamespace that adds iterable functionality and enables usage with dict() a

Very simple multi-layer perceptron (also called FFN)

Very simple multi-layer perceptron (also called FFN)

A structure for storing masks and their related data in batched format. Implements basic filtering and concatenation.

A structure for storing masks and their related data in batched format. Implements basic filtering and concatenation.

Dataset class for loading object detection and/or segmentation labels in YOLO format. Args: data (dict, optional): A dataset YAML di

Dataset class for loading object detection and/or segmentation labels in YOLO format. Args: data (dict, optional): A dataset YAML di

A class for storing and manipulating detection boxes. Args: boxes (torch.Tensor | numpy.ndarray): A tensor or numpy array containing

A class for storing and manipulating detection boxes. Args: boxes (torch.Tensor | numpy.ndarray): A tensor or numpy array containing

YOLO Classification Dataset. Args: root (str): Dataset path. Attributes: cache_ram (bool): True if images should be cac

YOLO Classification Dataset. Args: root (str): Dataset path. Attributes: cache_ram (bool): True if images should be cac

A class for calculating and updating a confusion matrix for object detection and classification tasks. Attributes: task (str): The t

A class for calculating and updating a confusion matrix for object detection and classification tasks. Attributes: task (str): The t

YOLOv8 detections class for inference results

YOLOv8 detections class for inference results

Ghost Convolution https://github.com/huawei-noah/ghostnet.

Ghost Convolution https://github.com/huawei-noah/ghostnet.