Migrate to MMDet V2.0-stable using mmcv cnn bricks

docs/GETTING_STARTED.md

@@ -374,7 +374,7 @@ from .coco import CocoDataset
 from .registry import DATASETS
 
 
-@DATASETS.register_module
+@DATASETS.register_module()
 class MyDataset(CocoDataset):
 
     CLASSES = ('a', 'b', 'c', 'd', 'e')
@@ -444,7 +444,7 @@ from .registry import OPTIMIZERS
 from torch.optim import Optimizer
 
 
-@OPTIMIZERS.register_module
+@OPTIMIZERS.register_module()
 class MyOptimizer(Optimizer):
 
 ```
@@ -476,7 +476,7 @@ import torch.nn as nn
 from ..registry import BACKBONES
 
 
-@BACKBONES.register_module
+@BACKBONES.register_module()
 class MobileNet(nn.Module):
 
     def __init__(self, arg1, arg2):

mmdet3d/core/anchor/anchor_3d_generator.py

@@ -4,7 +4,7 @@ import torch
 from mmdet.core.anchor import ANCHOR_GENERATORS
 
 
-@ANCHOR_GENERATORS.register_module
+@ANCHOR_GENERATORS.register_module()
 class Anchor3DRangeGenerator(object):
     """3D Anchor Generator by range
 
@@ -183,7 +183,7 @@ class Anchor3DRangeGenerator(object):
         return ret
 
 
-@ANCHOR_GENERATORS.register_module
+@ANCHOR_GENERATORS.register_module()
 class AlignedAnchor3DRangeGenerator(Anchor3DRangeGenerator):
     """Aligned 3D Anchor Generator by range
 

mmdet3d/core/bbox/coders/delta_xywh_bbox_coder.py

@@ -4,7 +4,7 @@ from mmdet.core.bbox import BaseBBoxCoder
 from mmdet.core.bbox.builder import BBOX_CODERS
 
 
-@BBOX_CODERS.register_module
+@BBOX_CODERS.register_module()
 class DeltaXYZWLHRBBoxCoder(BaseBBoxCoder):
 
     def __init__(self, code_size=7):

mmdet3d/core/bbox/iou_calculators/iou3d_calculator.py

@@ -6,7 +6,7 @@ from mmdet.core.bbox.iou_calculators.builder import IOU_CALCULATORS
 from .. import box_torch_ops
 
 
-@IOU_CALCULATORS.register_module
+@IOU_CALCULATORS.register_module()
 class BboxOverlapsNearest3D(object):
     """Nearest 3D IoU Calculator"""
 
@@ -20,7 +20,7 @@ class BboxOverlapsNearest3D(object):
         return repr_str
 
 
-@IOU_CALCULATORS.register_module
+@IOU_CALCULATORS.register_module()
 class BboxOverlaps3D(object):
     """3D IoU Calculator"""
 

mmdet3d/core/optimizer/cocktail_constructor.py

@@ -5,7 +5,7 @@ from mmdet.utils import get_root_logger
 from .cocktail_optimizer import CocktailOptimizer
 
 
-@OPTIMIZER_BUILDERS.register_module
+@OPTIMIZER_BUILDERS.register_module()
 class CocktailOptimizerConstructor(object):
     """Special constructor for cocktail optimizers.
 

mmdet3d/core/optimizer/cocktail_optimizer.py

@@ -3,7 +3,7 @@ from torch.optim import Optimizer
 from mmdet.core.optimizer import OPTIMIZERS
 
 
-@OPTIMIZERS.register_module
+@OPTIMIZERS.register_module()
 class CocktailOptimizer(Optimizer):
     """Cocktail Optimizer that contains multiple optimizers
 

mmdet3d/datasets/dataset_wrappers.py

@@ -7,7 +7,7 @@ from mmdet.datasets import DATASETS
 
 
 # Modified from https://github.com/facebookresearch/detectron2/blob/41d475b75a230221e21d9cac5d69655e3415e3a4/detectron2/data/samplers/distributed_sampler.py#L57 # noqa
-@DATASETS.register_module
+@DATASETS.register_module()
 class RepeatFactorDataset(object):
     """A wrapper of repeated dataset with repeat factor.
 

mmdet3d/datasets/kitti2d_dataset.py

@@ -4,7 +4,7 @@ import numpy as np
 from mmdet.datasets import DATASETS, CustomDataset
 
 
-@DATASETS.register_module
+@DATASETS.register_module()
 class Kitti2DDataset(CustomDataset):
 
     CLASSES = ('car', 'pedestrian', 'cyclist')

mmdet3d/datasets/kitti_dataset.py

@@ -15,7 +15,7 @@ from .pipelines import Compose
 from .utils import remove_dontcare
 
 
-@DATASETS.register_module
+@DATASETS.register_module()
 class KittiDataset(torch_data.Dataset):
 
     CLASSES = ('car', 'pedestrian', 'cyclist')

mmdet3d/datasets/nuscenes_dataset.py

@@ -13,7 +13,7 @@ from ..core.bbox import box_np_ops
 from .pipelines import Compose
 
 
-@DATASETS.register_module
+@DATASETS.register_module()
 class NuScenesDataset(torch_data.Dataset):
     NumPointFeatures = 4  # xyz, timestamp. set 4 to use kitti pretrain
     NameMapping = {

mmdet3d/datasets/pipelines/dbsampler.py

@@ -52,7 +52,7 @@ class BatchSampler:
         return [self._sampled_list[i] for i in indices]
 
 
-@OBJECTSAMPLERS.register_module
+@OBJECTSAMPLERS.register_module()
 class DataBaseSampler(object):
 
     def __init__(self, info_path, root_path, rate, prepare, object_rot_range,
@@ -255,7 +255,7 @@ class DataBaseSampler(object):
         return valid_samples
 
 
-@OBJECTSAMPLERS.register_module
+@OBJECTSAMPLERS.register_module()
 class MMDataBaseSampler(DataBaseSampler):
 
     def __init__(self,

mmdet3d/datasets/pipelines/formating.py

@@ -7,7 +7,7 @@ from mmdet.datasets.pipelines import to_tensor
 PIPELINES._module_dict.pop('DefaultFormatBundle')
 
 
-@PIPELINES.register_module
+@PIPELINES.register_module()
 class DefaultFormatBundle(object):
     """Default formatting bundle.
 
@@ -59,7 +59,7 @@ class DefaultFormatBundle(object):
         return self.__class__.__name__
 
 
-@PIPELINES.register_module
+@PIPELINES.register_module()
 class Collect3D(object):
 
     def __init__(self,
@@ -90,7 +90,7 @@ class Collect3D(object):
             self.keys, self.meta_keys)
 
 
-@PIPELINES.register_module
+@PIPELINES.register_module()
 class DefaultFormatBundle3D(DefaultFormatBundle):
     """Default formatting bundle.
 

mmdet3d/datasets/pipelines/loading.py

@@ -6,7 +6,7 @@ import numpy as np
 from mmdet.datasets.builder import PIPELINES
 
 
-@PIPELINES.register_module
+@PIPELINES.register_module()
 class LoadPointsFromFile(object):
 
     def __init__(self, points_dim=4, with_reflectivity=True):
@@ -31,7 +31,7 @@ class LoadPointsFromFile(object):
         return repr_str
 
 
-@PIPELINES.register_module
+@PIPELINES.register_module()
 class LoadMultiViewImageFromFiles(object):
     """ Load multi channel images from a list of separate channel files.
     Expects results['filename'] to be a list of filenames

mmdet3d/datasets/pipelines/train_aug.py

@@ -8,7 +8,7 @@ from ..registry import OBJECTSAMPLERS
 from .data_augment_utils import noise_per_object_v3_
 
 
-@PIPELINES.register_module
+@PIPELINES.register_module()
 class RandomFlip3D(RandomFlip):
     """Flip the points & bbox.
 
@@ -51,7 +51,7 @@ class RandomFlip3D(RandomFlip):
         return input_dict
 
 
-@PIPELINES.register_module
+@PIPELINES.register_module()
 class ObjectSample(object):
 
     def __init__(self, db_sampler, sample_2d=False):
@@ -128,7 +128,7 @@ class ObjectSample(object):
         return self.__class__.__name__
 
 
-@PIPELINES.register_module
+@PIPELINES.register_module()
 class ObjectNoise(object):
 
     def __init__(self,
@@ -167,7 +167,7 @@ class ObjectNoise(object):
         return repr_str
 
 
-@PIPELINES.register_module
+@PIPELINES.register_module()
 class GlobalRotScale(object):
 
     def __init__(self,
@@ -241,7 +241,7 @@ class GlobalRotScale(object):
         return repr_str
 
 
-@PIPELINES.register_module
+@PIPELINES.register_module()
 class PointShuffle(object):
 
     def __call__(self, input_dict):
@@ -252,7 +252,7 @@ class PointShuffle(object):
         return self.__class__.__name__
 
 
-@PIPELINES.register_module
+@PIPELINES.register_module()
 class ObjectRangeFilter(object):
 
     def __init__(self, point_cloud_range):
@@ -304,7 +304,7 @@ class ObjectRangeFilter(object):
         return repr_str
 
 
-@PIPELINES.register_module
+@PIPELINES.register_module()
 class PointsRangeFilter(object):
 
     def __init__(self, point_cloud_range):

mmdet3d/models/anchor_heads/boxvelo_head.py

@@ -8,7 +8,7 @@ from mmdet.models import HEADS
 from .second_head import SECONDHead
 
 
-@HEADS.register_module
+@HEADS.register_module()
 class Anchor3DVeloHead(SECONDHead):
     """Anchor-based head for 3D anchor with velocity
     Args:

mmdet3d/models/anchor_heads/parta2_rpn_head.py

@@ -9,7 +9,7 @@ from mmdet.models import HEADS
 from .second_head import SECONDHead
 
 
-@HEADS.register_module
+@HEADS.register_module()
 class PartA2RPNHead(SECONDHead):
     """rpn head for PartA2
 

mmdet3d/models/anchor_heads/second_head.py

@@ -13,7 +13,7 @@ from ..builder import build_loss
 from .train_mixins import AnchorTrainMixin
 
 
-@HEADS.register_module
+@HEADS.register_module()
 class SECONDHead(nn.Module, AnchorTrainMixin):
     """Anchor-based head for VoxelNet detectors.
 

mmdet3d/models/backbones/second.py

 from functools import partial
 
 import torch.nn as nn
+from mmcv.cnn import build_norm_layer
 from mmcv.runner import load_checkpoint
 
 from mmdet.models import BACKBONES
-from mmdet.ops import build_norm_layer
 
 
 class Empty(nn.Module):
@@ -20,7 +20,7 @@ class Empty(nn.Module):
         return args
 
 
-@BACKBONES.register_module
+@BACKBONES.register_module()
 class SECOND(nn.Module):
     """Compare with RPN, RPNV2 support arbitrary number of stage.
     """

mmdet3d/models/detectors/mvx_faster_rcnn.py

@@ -5,7 +5,7 @@ from mmdet.models import DETECTORS
 from .mvx_two_stage import MVXTwoStageDetector
 
 
-@DETECTORS.register_module
+@DETECTORS.register_module()
 class DynamicMVXFasterRCNN(MVXTwoStageDetector):
 
     def __init__(self, **kwargs):
@@ -42,7 +42,7 @@ class DynamicMVXFasterRCNN(MVXTwoStageDetector):
         return points, coors_batch
 
 
-@DETECTORS.register_module
+@DETECTORS.register_module()
 class DynamicMVXFasterRCNNV2(DynamicMVXFasterRCNN):
 
     def __init__(self, **kwargs):
@@ -62,7 +62,7 @@ class DynamicMVXFasterRCNNV2(DynamicMVXFasterRCNN):
         return x
 
 
-@DETECTORS.register_module
+@DETECTORS.register_module()
 class MVXFasterRCNNV2(MVXTwoStageDetector):
 
     def __init__(self, **kwargs):
@@ -84,7 +84,7 @@ class MVXFasterRCNNV2(MVXTwoStageDetector):
         return x
 
 
-@DETECTORS.register_module
+@DETECTORS.register_module()
 class DynamicMVXFasterRCNNV3(DynamicMVXFasterRCNN):
 
     def __init__(self, **kwargs):

mmdet3d/models/detectors/mvx_single_stage.py

@@ -8,7 +8,7 @@ from .. import builder
 from .base import BaseDetector
 
 
-@DETECTORS.register_module
+@DETECTORS.register_module()
 class MVXSingleStageDetector(BaseDetector):
 
     def __init__(self,
@@ -162,7 +162,7 @@ class MVXSingleStageDetector(BaseDetector):
         raise NotImplementedError
 
 
-@DETECTORS.register_module
+@DETECTORS.register_module()
 class DynamicMVXNet(MVXSingleStageDetector):
 
     def __init__(self,
@@ -230,7 +230,7 @@ class DynamicMVXNet(MVXSingleStageDetector):
         return points, coors_batch
 
 
-@DETECTORS.register_module
+@DETECTORS.register_module()
 class DynamicMVXNetV2(DynamicMVXNet):
 
     def __init__(self,
@@ -281,7 +281,7 @@ class DynamicMVXNetV2(DynamicMVXNet):
         return x
 
 
-@DETECTORS.register_module
+@DETECTORS.register_module()
 class DynamicMVXNetV3(DynamicMVXNet):
 
     def __init__(self,