# Copyright (c) OpenMMLab. All rights reserved. from typing import Optional from mmdet3d.registry import MODELS from .mvx_two_stage import MVXTwoStageDetector @MODELS.register_module() class CenterPoint(MVXTwoStageDetector): """Base class of Multi-modality VoxelNet. Args: pts_voxel_layer (dict, optional): Point cloud voxelization layer. Defaults to None. pts_voxel_encoder (dict, optional): Point voxelization encoder layer. Defaults to None. pts_middle_encoder (dict, optional): Middle encoder layer of points cloud modality. Defaults to None. pts_fusion_layer (dict, optional): Fusion layer. Defaults to None. img_backbone (dict, optional): Backbone of extracting images feature. Defaults to None. pts_backbone (dict, optional): Backbone of extracting points features. Defaults to None. img_neck (dict, optional): Neck of extracting image features. Defaults to None. pts_neck (dict, optional): Neck of extracting points features. Defaults to None. pts_bbox_head (dict, optional): Bboxes head of point cloud modality. Defaults to None. img_roi_head (dict, optional): RoI head of image modality. Defaults to None. img_rpn_head (dict, optional): RPN head of image modality. Defaults to None. train_cfg (dict, optional): Train config of model. Defaults to None. test_cfg (dict, optional): Train config of model. Defaults to None. init_cfg (dict, optional): Initialize config of model. Defaults to None. data_preprocessor (dict or ConfigDict, optional): The pre-process config of :class:`Det3DDataPreprocessor`. Defaults to None. """ def __init__(self, pts_voxel_layer: Optional[dict] = None, pts_voxel_encoder: Optional[dict] = None, pts_middle_encoder: Optional[dict] = None, pts_fusion_layer: Optional[dict] = None, img_backbone: Optional[dict] = None, pts_backbone: Optional[dict] = None, img_neck: Optional[dict] = None, pts_neck: Optional[dict] = None, pts_bbox_head: Optional[dict] = None, img_roi_head: Optional[dict] = None, img_rpn_head: Optional[dict] = None, train_cfg: Optional[dict] = None, test_cfg: Optional[dict] = None, init_cfg: Optional[dict] = None, data_preprocessor: Optional[dict] = None, **kwargs): super(CenterPoint, self).__init__(pts_voxel_layer, pts_voxel_encoder, pts_middle_encoder, pts_fusion_layer, img_backbone, pts_backbone, img_neck, pts_neck, pts_bbox_head, img_roi_head, img_rpn_head, train_cfg, test_cfg, init_cfg, data_preprocessor, **kwargs)