Create track from unassociated measurement. Parameters ---------- measurement : ndarray Bounding box coordinates

Computer intersection over union. Parameters ---------- bbox : ndarray A bounding box in format `(top left x, top left y, width,

Returns True if this track is dead and should be deleted.

Creates kmeans-evolved anchors from training dataset Arguments: dataset: path to data.yaml, or a loaded dataset n: n

Log the dataset as W&B artifact and return the new data file with W&B links arguments: data_file (str) -- the .yaml file wit

Log the model checkpoint as W&B artifact arguments: path (Path) -- Path of directory containing the checkpoints op

Build evaluation Table. Uses reference from validation dataset table. arguments: predn (list): list of predictions in the na

Solve linear assignment problem. Parameters ---------- distance_metric : Callable[List[Track], List[Detection], List[int], List[int]) ->

Update the distance metric with new data. Parameters ---------- features : ndarray An NxM matrix of N features of

Propagate the state distribution to the current time step using a Kalman filter prediction step. Parameters ----------

Return correct predictions matrix. Both sets of boxes are in (x1, y1, x2, y2) format. Arguments: detections (Array[N, 6]), x1, y1, x2

Return intersection-over-union (Jaccard index) of boxes. Both sets of boxes are expected to be in (x1, y1, x2, y2) format. Ar

Register a new action to a callback hook Args: hook The callback hook name to register the action to

Setup the necessary processes for training YOLO models: - Attempt to download model checkpoint and dataset artifacts if opt.resume

Log validation data for one image. updates the result Table if validation dataset is uploaded and log bbox media panel arguments: