Handles all registered callbacks for YOLOv5 Hooks

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

This is yaml parser based on EasyDict.

This module stores the information for each frame and use them in JsonParser Attributes: labels (list): List of label module.

This class represents a bounding box detection in a single image. Parameters ---------- tlwh : array_like Bounding box in fo

This module stores the information for each frame and use them in JsonParser Attributes: timestamp (float): The elapsed time of captu

For each bounding box there are various categories with confidences. Label class keeps track of that information.

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

A nearest neighbor distance metric that, for each target, returns the closest distance to any sample that has been observed so far. Para

A single target track with state space `(x, y, a, h)` and associated velocities, where `(x, y)` is the center of the bounding box, `a` is the

This is the multi-target tracker. Parameters ---------- metric : nn_matching.NearestNeighborDistanceMetric A distance metric

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 "Act

This is the base class that returns __dict__ of its own it also returns the dicts of objects in the attributes that are list instances

ُ This module is designed to automate the task of logging jsons. An example json is used to show the contents of json file shortly Exampl

Dataloader that reuses workers Uses same syntax as vanilla DataLoader

A simple Kalman filter for tracking bounding boxes in image space. The 8-dimensional state space x, y, a, h, vx, vy, va, vh co

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 accord

Enumeration type for the single target track state. Newly created tracks are classified as `tentative` until enough evidence has been collect