str: Return a string that describes the module.

str: Return a string that describes the module.

str: Return a string that describes the module.

str: Return a string that describes the module.

Private function to load bounding box annotations. The only difference is it remove the proceess for `ignore_flag` Args:

Private function to load label annotations. Args: results (dict): Result dict from :obj :obj:`mmcv.BaseDataset`. Returns

Sample negative samples.

Sample positive samples.

Compute the metrics from processed results. Args: results (list): The processed results of each batch. Returns:

Create info file of nuscene dataset. Given the raw data, generate its related info file in pkl format. Args: root_path (str): Path o

Create info file of SemanticKITTI dataset. Directly generate info file without raw data. Args: pkl_prefix (str): Prefix of the info

Export 2d annotation from the info file and raw data. Args: root_path (str): Root path of the raw data. info_path (str): Path of

Forward pass.

Forward pass.

Forward pass.

Forward pass.

Forward pass.

Perform normalization, padding and bgr2rgb conversion based on ``BaseDataPreprocessor``. Args: data (dict or List[dict]):

Update queries in batch level.

Calculate losses from a batch of inputs and data samples. Args: batch_inputs_dict (dict): Input sample dict which

Get Predictions of a single sample level.

Process the raw data info. Convert all relative path of needed modality data file to the absolute path. And process the `inst

PolarMix transform function. Args: input_dict (dict): Result dict from loading pipeline. Returns: dict: outp

LaserMix transform function. Args: input_dict (dict): Result dict from loading pipeline. Returns: dict: outp

Function to load multiple types annotations. Args: results (dict): Result dict from :obj:`mmdet3d.CustomDataset`. Return

Method to pack the input data. when the value in this dict is a list, it usually is in Augmentations Testing. Args: resul