Given a list of pcd, find the minimum number and downsample all point clouds to the minimum number. Parameters ---------- pcd_np

The base postprocessor will generate 3d groundtruth bounding box. Parameters ---------- data_dict : dict

batchInsert @param list dataList @return success count

Remove the lidar points of the ego vehicle itself. Parameters ---------- points : np.ndarray Lidar points under lidar sensor

Remove the lidar points out of the boundary. Parameters ---------- points : np.ndarray Lidar points under lidar sensor coord

Modify upload record status and error information based on ID @param id upload record ID @param uploadStatus upload status @param errorMess

get mapperStatementId @param sqlMethod method name @return named id @since 3.4.0

r""" Return transformation matrix for torch.affine_grid. Args: M : torch.Tensor Transformation matrix with shape :math:`(N

Preprocess the lidar points to BEV representations. Parameters ---------- pcd_raw : np.ndarray The raw l

batch save file @param fileBOS fileBOs @return fileList

Set the user information of the current request @param userInfo

r""" Transform the src based on transformation matrix M. Args: src : torch.Tensor Input feature map with shape :math:`(B,C