Create empty context @return

Create export record @return serial number

delete class @param id id @return true-false

Denormalize the regression map Parameters ---------- reg_map : np.ndarray / torch.Tensor Regression outp

draw boxes in a given plt ax :param boxes_dec: (N, 5) or (N, 7) in metric :param ax: :return: ax with drawn boxes

Draw lanes on image (polylines). Parameters ---------- lane_area_list : list List of cross coordinates image : np.ndarr

Draw lanes on image (polylines). Parameters ---------- intersection_list : list lane_area_list : list List of lane coord

Draw poly for road. Parameters ---------- visualize : bool If set to true, the road segment will be black color. lane_a

Estimate yaw from 8 corners (shape: [8, 3])

Filter out the objects whose coordinates are out of the image scope. Parameters ---------- objects : np.ndarray The object c

Query import records according to serial number @param serialNumbers Serial number @return Import record collection

Query file information based on file ID collection @param fileIds File id collection @return Relation file map

Get Model run data id @param queryWrapper Model run Filter data parameter @param modelId Model id @param limit data id count @return data

Args: data_dict: points: (N, 3 + C_in) gt_boxes: optional, (N, 7) [x, y, z, dx, dy, dz, heading]

Generate pre-signed url @param fileName file name @param datasetId dataset id @param userId user id

Convert the agent's bbx corners from world coordinates to rasterization coordinates. Parameters ---------- c

get dataEdit creator @param dataIds dataIds @return creator

Loop to get file ID from content @param fileNodeBOList File node List @return File id collection

Get model annotation results @param serialNo Serial number @param dataIds Data id collection @return Model annotation result

model code implement by subClass @return