Add config for mix dataset.

Add config for MOT dataset.

Returns: torch.nn.Module: It now calls :func:`detectron2.modeling.build_model`. Overwrite it if you'd like a dif

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

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

r""" generate source and destination for affine transform

decide the border size of image

concat missed tracklets (history) if they are given :param data_dict: Dict :param history: Dict :return: data in

Returns: iterable It now calls :func:`detectron2.data.build_detection_train_loader`. Overwrite it if you'd like

Args: text (str): class label position (tuple): a tuple of the x and y coordinates to place text on image.

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

Args: rgb (bool): whether to return RGB colors or BGR colors. maximum (int): either 255 or 1 Returns: ndarray: a vec

Compute cost based on IoU :type atlbrs: list[tlbr] | np.ndarray :type atlbrs: list[tlbr] | np.ndarray :rtype ious np.ndarray