Compute and display summary metrics for evaluation results. Note this functin can *only* be applied on the default parameter setting

Updates the state vector with observed bbox.

Initialises a tracker using initial bounding box.

Sets key parameters for SORT

Constructor of Microsoft COCO helper class for reading and visualizing annotations. :param annotation_file (str): location of annotat

Initialize CocoEval using coco APIs for gt and dt :param cocoGt: coco object with ground truth annotations :param cocoDt: coc

Accumulate per image evaluation results and store the result in self.eval :param p: input params for evaluation :return: None

Convert annotation which can be polygons, uncompressed RLE, or RLE to binary mask. :return: binary mask (numpy 2D array)

Combine scoremat and offsets to the final pose.

Download COCO images from mscoco.org server. :param tarDir (str): COCO results directory name imgIds (list): images to

Run per image evaluation on given images and store results (a list of dict) in self.evalImgs :return: None

perform evaluation for single category and image :return: dict (single image results)

Define a huber loss https://en.wikipedia.org/wiki/Huber_loss tensor: tensor to regularize. k: value of k in the huber loss scope: O

Generate all poses in an image using segmentations