Decay the learning rate

Convert yaml config (dict-like) to list, required by argparse.

ap = voc_ap(rec, prec, [use_07_metric]) Compute VOC AP given precision and recall. If use_07_metric is true, uses the VOC 07 11 point met

vol is occupancy grid (value = 0 or 1) of size vsize*vsize*vsize return Nx3 numpy array.

Create lines represented as cylinders connecting pairs of 3D points Args: pcl: (N x 2 x 3 numpy array): N pairs of xyz pos

Export oriented (around Z axis) scene bbox to meshes Args: scene_bbox: (N x 7 numpy array): xyz pos of center and 3 lengths (dx,dy,dz)

Custom collate function that handles specific batching for 'point_clouds', 'point_colors', 'point_labels', and 'inds_reconstruct' keys in th

Args: clip (torch.tensor): Video clip to be cropped. Size is (C, T, H, W) Returns: torch.tensor: randomly cro

Args: clip (torch.tensor): Video clip to be cropped. Size is (C, T, H, W) Returns: torch.tensor: randomly cro

Args: clip (torch.tensor): Video clip to be cropped. Size is (C, T, H, W) Returns: torch.tensor: central crop

Args: clip (torch.tensor): video clip to be normalized. Size is (C, T, H, W)

Args: clip (torch.tensor, dtype=torch.uint8): Size is (T, H, W, C) Return: clip (torch.tensor, dtype=torch.fl

Args: clip (torch.tensor): Size is (C, T, H, W) Return: clip (torch.tensor): Size is (C, T, H, W)

Args: ap_iou_thresh: float between 0 and 1.0 IoU threshold to judge whether a prediction is positive.