Args: output_name: Returns: None Notes: It creates the json output with `output_name` n

Map the validation dataset Table like name of file -> it's id in the W&B Table. Useful for - referencing artifacts for evaluation.

Mark this track as missed (no association at the current time step).

Project state distribution to measurement space. Parameters ---------- mean : ndarray The state's mean vector (8

Compute pair-wise cosine distance between points in `a` and `b`. Parameters ---------- a : array_like An NxM matrix of N samples

Compute pair-wise squared distance between points in `a` and `b`. Parameters ---------- a : array_like An NxM matrix of N samples

TODO: 1. to float with scale from 0 to 1 2. resize to (64, 128) as Market1501 dataset did 3. concatenate

TODO: Convert bbox from xtl_ytl_w_h to xc_yc_w_h Thanks JieChen91@github.com for reporting this bug!

Compute the average precision, given the recall and precision curves. Source: https://github.com/rafaelpadilla/Object-Detection-Metrics. # Ar

Compute the average precision, given the recall and precision curves # Arguments recall: The recall curve (list) precision: Th

Simple function that adds fixed color depending on the class

Compute distance between features and targets. Parameters ---------- features : ndarray An NxM matrix of N featur

download the model checkpoint artifact if the resume path starts with WANDB_ARTIFACT_PREFIX arguments: opt (namespace) -- Co

commit the log_dict, model artifacts and Tables to W&B and flush the log_dict. arguments: best_result (boolean): Boolean rep

x: Features to be visualized module_type: Module type stage: Module stage within model n: Maxim

Args: frame_id: bbox_id: Returns: bbox_id (int): Raises: ValueError: if bb

Log metrics if any and finish the current W&B run

Compute gating distance between state distribution and measurements. A suitable distance threshold can be obtained from `chi2inv95`. If