Converts the predictions to the AVA labels.

Visualizes a single binary mask.

Args: original_image (np.ndarray): an image of shape (H, W, C) (in BGR order). Returns: predictions (dict):

Args: cfg: a yacs CfgNode or a omegaconf dict object.

Extension of the official SMPL implementation to support more joints. Args: Same as SMPLLayer. joint_regresso

Helper function for nearest neighbor distance metric (Euclidean). Parameters ---------- x : ndarray A matrix of N row-vectors (s

Report download progress. Credit: https://stackoverflow.com/questions/3173320/text-progress-bar-in-the-console/27871113

Run forward pass. Same as SMPL and also append an extra set of joints if joint_regressor_extra is specified.

:param d_model: dimension of the model :param height: height of the positions :param width: width of the positions :return: d_model*h

Propagate track state distributions one time step forward. This function should be called once every time step, before `update`.

Convert bounding box to format `(min x, min y, max x, max y)`, i.e., `(top left, bottom right)`.

Convert bounding box to format `(center x, center y, aspect ratio, height)`, where the aspect ratio is `width / height`.

Perform measurement update and track management. Parameters ---------- detections : List[deep_sort.detection.Detection]