[Fix] Fix typos and error in comments (#308)

* fix bug caused by mmcv upgrade; delete pdb breakpoint

* fix typos

configs/_base_/models/centerpoint_01voxel_second_secfpn_nus.py

@@ -52,7 +52,7 @@
  out_size_factor=8,
  voxel_size=voxel_size[:2],
  code_size=9),
- seperate_head=dict(
+ separate_head=dict(
  type='SeparateHead', init_bias=-2.19, final_kernel=3),
  loss_cls=dict(type='GaussianFocalLoss', reduction='mean'),
  loss_bbox=dict(type='L1Loss', reduction='mean', loss_weight=0.25),

configs/_base_/models/centerpoint_02pillar_second_secfpn_nus.py

@@ -51,7 +51,7 @@
  out_size_factor=4,
  voxel_size=voxel_size[:2],
  code_size=9),
- seperate_head=dict(
+ separate_head=dict(
  type='SeparateHead', init_bias=-2.19, final_kernel=3),
  loss_cls=dict(type='GaussianFocalLoss', reduction='mean'),
  loss_bbox=dict(type='L1Loss', reduction='mean', loss_weight=0.25),

configs/centerpoint/centerpoint_0075voxel_second_secfpn_dcn_4x8_cyclic_20e_nus.py

@@ -2,8 +2,8 @@
 
 model = dict(
  pts_bbox_head=dict(
- seperate_head=dict(
- type='DCNSeperateHead',
+ separate_head=dict(
+ type='DCNSeparateHead',
  dcn_config=dict(
  type='DCN',
  in_channels=64,

configs/centerpoint/centerpoint_0075voxel_second_secfpn_dcn_circlenms_4x8_cyclic_20e_nus.py

@@ -2,8 +2,8 @@
 
 model = dict(
  pts_bbox_head=dict(
- seperate_head=dict(
- type='DCNSeperateHead',
+ separate_head=dict(
+ type='DCNSeparateHead',
  dcn_config=dict(
  type='DCN',
  in_channels=64,

configs/centerpoint/centerpoint_01voxel_second_secfpn_dcn_4x8_cyclic_20e_nus.py

@@ -2,8 +2,8 @@
 
 model = dict(
  pts_bbox_head=dict(
- seperate_head=dict(
- type='DCNSeperateHead',
+ separate_head=dict(
+ type='DCNSeparateHead',
  dcn_config=dict(
  type='DCN',
  in_channels=64,

configs/centerpoint/centerpoint_01voxel_second_secfpn_dcn_circlenms_4x8_cyclic_20e_nus.py

@@ -2,8 +2,8 @@
 
 model = dict(
  pts_bbox_head=dict(
- seperate_head=dict(
- type='DCNSeperateHead',
+ separate_head=dict(
+ type='DCNSeparateHead',
  dcn_config=dict(
  type='DCN',
  in_channels=64,

configs/centerpoint/centerpoint_02pillar_second_secfpn_dcn_4x8_cyclic_20e_nus.py

@@ -2,8 +2,8 @@
 
 model = dict(
  pts_bbox_head=dict(
- seperate_head=dict(
- type='DCNSeperateHead',
+ separate_head=dict(
+ type='DCNSeparateHead',
  dcn_config=dict(
  type='DCN',
  in_channels=64,

configs/centerpoint/centerpoint_02pillar_second_secfpn_dcn_circlenms_4x8_cyclic_20e_nus.py

@@ -2,8 +2,8 @@
 
 model = dict(
  pts_bbox_head=dict(
- seperate_head=dict(
- type='DCNSeperateHead',
+ separate_head=dict(
+ type='DCNSeparateHead',
  dcn_config=dict(
  type='DCN',
  in_channels=64,

mmdet3d/models/dense_heads/centerpoint_head.py

@@ -119,8 +119,8 @@ def forward(self, x):
 
 
 @HEADS.register_module()
-class DCNSeperateHead(nn.Module):
- r"""DCNSeperateHead for CenterHead.
+class DCNSeparateHead(nn.Module):
+ r"""DCNSeparateHead for CenterHead.
 
  .. code-block:: none
  /-----> DCN for heatmap task -----> heatmap task.
@@ -155,7 +155,7 @@ def __init__(self,
  norm_cfg=dict(type='BN2d'),
  bias='auto',
  **kwargs):
- super(DCNSeperateHead, self).__init__()
+ super(DCNSeparateHead, self).__init__()
  if 'heatmap' in heads:
  heads.pop('heatmap')
  # feature adaptation with dcn
@@ -250,7 +250,7 @@ class CenterHead(nn.Module):
  Default: dict(type='GaussianFocalLoss', reduction='mean').
  loss_bbox (dict): Config of regression loss function.
  Default: dict(type='L1Loss', reduction='none').
- seperate_head (dict): Config of seperate head. Default: dict(
+ separate_head (dict): Config of separate head. Default: dict(
  type='SeparateHead', init_bias=-2.19, final_kernel=3)
  share_conv_channel (int): Output channels for share_conv_layer.
  Default: 64.
@@ -273,7 +273,7 @@ def __init__(self,
  loss_cls=dict(type='GaussianFocalLoss', reduction='mean'),
  loss_bbox=dict(
  type='L1Loss', reduction='none', loss_weight=0.25),
- seperate_head=dict(
+ separate_head=dict(
  type='SeparateHead', init_bias=-2.19, final_kernel=3),
  share_conv_channel=64,
  num_heatmap_convs=2,
@@ -312,9 +312,9 @@ def __init__(self,
  for num_cls in num_classes:
  heads = copy.deepcopy(common_heads)
  heads.update(dict(heatmap=(num_cls, num_heatmap_convs)))
- seperate_head.update(
+ separate_head.update(
  in_channels=share_conv_channel, heads=heads, num_cls=num_cls)
- self.task_heads.append(builder.build_head(seperate_head))
+ self.task_heads.append(builder.build_head(separate_head))
 
  def init_weights(self):
  """Initialize weights."""

mmdet3d/models/fusion_layers/point_fusion.py

@@ -291,7 +291,7 @@ def sample_single(self, img_feats, pts, img_meta):
 
  Args:
  img_feats (torch.Tensor): Image feature map in shape
- (N, C, H, W).
+ (1, C, H, W).
  pts (torch.Tensor): Points of a single sample.
  img_meta (dict): Meta information of the single sample.
 

tests/test_models/test_forward.py

@@ -1,8 +1,8 @@
 """Test model forward process.
 
 CommandLine:
- pytest tests/test_forward.py
- xdoctest tests/test_forward.py zero
+ pytest tests/test_models/test_forward.py
+ xdoctest tests/test_models/test_forward.py zero
 """
 import copy
 import numpy as np

tests/test_models/test_heads/test_heads.py

@@ -806,8 +806,8 @@ def test_dcn_center_head():
  out_size_factor=4,
  voxel_size=voxel_size[:2],
  code_size=9),
- seperate_head=dict(
- type='DCNSeperateHead',
+ separate_head=dict(
+ type='DCNSeparateHead',
  dcn_config=dict(
  type='DCN',
  in_channels=64,

tests/test_utils/test_anchors.py

@@ -1,7 +1,7 @@
 """
 CommandLine:
- pytest tests/test_anchor.py
- xdoctest tests/test_anchor.py zero
+ pytest tests/test_utils/test_anchor.py
+ xdoctest tests/test_utils/test_anchor.py zero
 
 """
 import torch

tests/test_utils/test_assigners.py

@@ -1,8 +1,8 @@
 """Tests the Assigner objects.
 
 CommandLine:
- pytest tests/test_assigner.py
- xdoctest tests/test_assigner.py zero
+ pytest tests/test_utils/test_assigner.py
+ xdoctest tests/test_utils/test_assigner.py zero
 """
 import torch