Do not add tracklets which length is shorter than thresh Because they might be False Positive tracklets By doi

Compared to mot17, mot20 bbox GT format is limited to the image size min(tlx or tly): 1 max(tlx+w or tly+h): 1 + img_size

r""" generate center and scale for image randomly Args: shape(tuple): a tuple represents (height, width) of image

copyed from CornerNet box_size (w, h), it could be a torch.Tensor, numpy.ndarray, list or tuple notice: we are using a bug-ve

Run model on the data_loader and evaluate the metrics with evaluator. Also benchmark the inference speed of `model.forward` accurately. T

Run model on the data_loader and evaluate the metrics with evaluator. Also benchmark the inference speed of `model.__call__` accurately.

Run model on the data_loader and evaluate the metrics with evaluator. Also benchmark the inference speed of `model.forward` accurately. T

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

Args: dataset_dicts (list[dict]): list of dataset dicts. class_names (list[str]): list of class names (zero-indexed).