Handles all registered callbacks for YOLOv5 Hooks

\class LogStreamConsumer \brief Convenience object used to facilitate use of C++ stream syntax when logging messages. Order of base classes is LogStre

Updated Exponential Moving Average (EMA) from https://github.com/rwightman/pytorch-image-models Keeps a moving average of everything in the model

Handles all registered callbacks for YOLOv5 Hooks

Log metrics, parameters, source code, models and much more with Comet

YOLOv5 General purpose logger for non-task specific logging Usage: from utils.loggers import GenericLogger; logger = GenericLogger(...) A

Updated Exponential Moving Average (EMA) from https://github.com/rwightman/pytorch-image-models Keeps a moving average of everything in the model

Normal Conv with ReLU activation

Log training runs, datasets, models, and predictions to Weights & Biases. This logger sends information to W&B at wandb.ai. By default, this info

Log training runs, datasets, models, and predictions to Weights & Biases. This logger sends information to W&B at wandb.ai. By default, this info

Log training runs, datasets, models, and predictions to Weights & Biases. This logger sends information to W&B at wandb.ai. By default, this info

YOLOv5 Classification Dataset. Arguments root: Dataset path transform: torchvision transforms, used by default albu

Log training runs, datasets, models, and predictions to ClearML. This logger sends information to ClearML at app.clear.ml or to your own hosted s

Dataloader that reuses workers Uses same syntax as vanilla DataLoader