Handles all registered callbacks for YOLOv5 Hooks

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

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

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

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

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

Dataloader that reuses workers Uses same syntax as vanilla DataLoader

This class represents the internal state of individual tracked objects observed as bbox.

Metric for boxes and masks.

Sampler that repeats forever Args: sampler (Sampler)

Sampler that repeats forever Args: sampler (Sampler)

r""" ACON activation (activate or not) AconC: (p1*x-p2*x) * sigmoid(beta*(p1*x-p2*x)) + p2*x, beta is a learnable parameter according to "Ac

Return dataset statistics dictionary with images and instances counts per split per class To run in parent directory: export PYTHONPATH="$PWD/yo

Dataloader that reuses workers Uses same syntax as vanilla DataLoader

r""" ACON activation (activate or not) MetaAconC: (p1*x-p2*x) * sigmoid(beta*(p1*x-p2*x)) + p2*x, beta is generated by a small network accor