Add header for files (#869)

* Add header for files

* Add header for files

* Add header for files

* Add header for files

mmdet3d/models/detectors/mvx_faster_rcnn.py

+# Copyright (c) OpenMMLab. All rights reserved.
 import torch
 from mmcv.runner import force_fp32
 from torch.nn import functional as F

mmdet3d/models/detectors/mvx_two_stage.py

+# Copyright (c) OpenMMLab. All rights reserved.
 import mmcv
 import torch
 import warnings

mmdet3d/models/detectors/parta2.py

+# Copyright (c) OpenMMLab. All rights reserved.
 import torch
 from torch.nn import functional as F
 

mmdet3d/models/detectors/single_stage.py

+# Copyright (c) OpenMMLab. All rights reserved.
 from mmdet.models import DETECTORS, build_backbone, build_head, build_neck
 from .base import Base3DDetector
 

mmdet3d/models/detectors/single_stage_mono3d.py

+# Copyright (c) OpenMMLab. All rights reserved.
 import mmcv
 import numpy as np
 import torch

mmdet3d/models/detectors/ssd3dnet.py

+# Copyright (c) OpenMMLab. All rights reserved.
 from mmdet.models import DETECTORS
 from .votenet import VoteNet
 

mmdet3d/models/detectors/two_stage.py

+# Copyright (c) OpenMMLab. All rights reserved.
 from mmdet.models import DETECTORS, TwoStageDetector
 from .base import Base3DDetector
 

mmdet3d/models/detectors/votenet.py

+# Copyright (c) OpenMMLab. All rights reserved.
 import torch
 
 from mmdet3d.core import bbox3d2result, merge_aug_bboxes_3d

mmdet3d/models/detectors/voxelnet.py

+# Copyright (c) OpenMMLab. All rights reserved.
 import torch
 from mmcv.runner import force_fp32
 from torch.nn import functional as F

mmdet3d/models/fusion_layers/__init__.py

+# Copyright (c) OpenMMLab. All rights reserved.
 from .coord_transform import (apply_3d_transformation, bbox_2d_transform,
                               coord_2d_transform)
 from .point_fusion import PointFusion

mmdet3d/models/fusion_layers/coord_transform.py

+# Copyright (c) OpenMMLab. All rights reserved.
 import torch
 from functools import partial
 

mmdet3d/models/fusion_layers/point_fusion.py

+# Copyright (c) OpenMMLab. All rights reserved.
 import torch
 from mmcv.cnn import ConvModule
 from mmcv.runner import BaseModule

mmdet3d/models/fusion_layers/vote_fusion.py

+# Copyright (c) OpenMMLab. All rights reserved.
 import torch
 from torch import nn as nn
 

mmdet3d/models/losses/__init__.py

+# Copyright (c) OpenMMLab. All rights reserved.
 from mmdet.models.losses import FocalLoss, SmoothL1Loss, binary_cross_entropy
 from .axis_aligned_iou_loss import AxisAlignedIoULoss, axis_aligned_iou_loss
 from .chamfer_distance import ChamferDistance, chamfer_distance

mmdet3d/models/losses/axis_aligned_iou_loss.py

+# Copyright (c) OpenMMLab. All rights reserved.
 import torch
 from torch import nn as nn
 

mmdet3d/models/losses/chamfer_distance.py

+# Copyright (c) OpenMMLab. All rights reserved.
 import torch
 from torch import nn as nn
 from torch.nn.functional import l1_loss, mse_loss, smooth_l1_loss

mmdet3d/models/losses/paconv_regularization_loss.py

+# Copyright (c) OpenMMLab. All rights reserved.
 import torch
 from torch import nn as nn
 

mmdet3d/models/middle_encoders/__init__.py

+# Copyright (c) OpenMMLab. All rights reserved.
 from .pillar_scatter import PointPillarsScatter
 from .sparse_encoder import SparseEncoder
 from .sparse_unet import SparseUNet

mmdet3d/models/middle_encoders/pillar_scatter.py

+# Copyright (c) OpenMMLab. All rights reserved.
 import torch
 from mmcv.runner import auto_fp16
 from torch import nn

mmdet3d/models/middle_encoders/sparse_encoder.py

+# Copyright (c) OpenMMLab. All rights reserved.
 from mmcv.runner import auto_fp16
 from torch import nn as nn