# Copyright (c) OpenMMLab. All rights reserved. import warnings from mmdet3d.registry import MODELS BACKBONES = MODELS NECKS = MODELS ROI_EXTRACTORS = MODELS SHARED_HEADS = MODELS HEADS = MODELS LOSSES = MODELS DETECTORS = MODELS SEGMENTORS = MODELS VOXEL_ENCODERS = MODELS MIDDLE_ENCODERS = MODELS FUSION_LAYERS = MODELS SEGMENTORS = MODELS def build_backbone(cfg): """Build backbone.""" warnings.warn('``build_backbone`` would be deprecated soon, please use ' '``mmdet3d.registry.MODELS.build()`` ') return BACKBONES.build(cfg) def build_neck(cfg): """Build neck.""" warnings.warn('``build_neck`` would be deprecated soon, please use ' '``mmdet3d.registry.MODELS.build()`` ') return NECKS.build(cfg) def build_roi_extractor(cfg): """Build roi extractor.""" warnings.warn( '``build_roi_extractor`` would be deprecated soon, please use ' '``mmdet3d.registry.MODELS.build()`` ') return ROI_EXTRACTORS.build(cfg) def build_shared_head(cfg): """Build shared head.""" warnings.warn('``build_shared_head`` would be deprecated soon, please use ' '``mmdet3d.registry.MODELS.build()`` ') return SHARED_HEADS.build(cfg) def build_head(cfg): """Build head.""" warnings.warn('``build_head`` would be deprecated soon, please use ' '``mmdet3d.registry.MODELS.build()`` ') return HEADS.build(cfg) def build_loss(cfg): """Build loss.""" warnings.warn('``build_loss`` would be deprecated soon, please use ' '``mmdet3d.registry.MODELS.build()`` ') return LOSSES.build(cfg) def build_detector(cfg, train_cfg=None, test_cfg=None): """Build detector.""" if train_cfg is not None or test_cfg is not None: warnings.warn( 'train_cfg and test_cfg is deprecated, ' 'please specify them in model', UserWarning) assert cfg.get('train_cfg') is None or train_cfg is None, \ 'train_cfg specified in both outer field and model field ' assert cfg.get('test_cfg') is None or test_cfg is None, \ 'test_cfg specified in both outer field and model field ' if cfg['type'] in DETECTORS._module_dict.keys(): return DETECTORS.build( cfg, default_args=dict(train_cfg=train_cfg, test_cfg=test_cfg)) def build_segmentor(cfg, train_cfg=None, test_cfg=None): """Build segmentor.""" if train_cfg is not None or test_cfg is not None: warnings.warn( 'train_cfg and test_cfg is deprecated, ' 'please specify them in model', UserWarning) assert cfg.get('train_cfg') is None or train_cfg is None, \ 'train_cfg specified in both outer field and model field ' assert cfg.get('test_cfg') is None or test_cfg is None, \ 'test_cfg specified in both outer field and model field ' return SEGMENTORS.build( cfg, default_args=dict(train_cfg=train_cfg, test_cfg=test_cfg)) def build_model(cfg, train_cfg=None, test_cfg=None): """A function wrapper for building 3D detector or segmentor according to cfg. Should be deprecated in the future. """ if cfg.type in ['EncoderDecoder3D']: return build_segmentor(cfg, train_cfg=train_cfg, test_cfg=test_cfg) else: return build_detector(cfg, train_cfg=train_cfg, test_cfg=test_cfg) def build_voxel_encoder(cfg): """Build voxel encoder.""" warnings.warn('``build_voxel_encoder`` would be deprecated soon, please ' 'use ``mmdet3d.registry.MODELS.build()`` ') return VOXEL_ENCODERS.build(cfg) def build_middle_encoder(cfg): """Build middle level encoder.""" warnings.warn('``build_middle_encoder`` would be deprecated soon, please ' 'use ``mmdet3d.registry.MODELS.build()`` ') return MIDDLE_ENCODERS.build(cfg) def build_fusion_layer(cfg): """Build fusion layer.""" warnings.warn('``build_fusion_layer`` would be deprecated soon, please ' 'use ``mmdet3d.registry.MODELS.build()`` ') return FUSION_LAYERS.build(cfg)