Merge 757b3e7 into e90e176

configs/centerpoint/centerpoint_voxel0075_second_secfpn_head-dcn-circlenms_8xb4-flip-tta-cyclic-20e_nus-3d.py

@@ -1,5 +1,4 @@
-_base_ = './centerpoint_voxel0075_second_secfpn_' \
- 'head-dcn-circlenms_8xb4_cyclic-20e_nus-3d.py'
+_base_ = './centerpoint_voxel0075_second_secfpn_head-dcn-circlenms_8xb4-cyclic-20e_nus-3d.py' # noqa: E501
 
 point_cloud_range = [-54, -54, -5.0, 54, 54, 3.0]
 # Using calibration info convert the Lidar-coordinate point cloud range to the

configs/centerpoint/centerpoint_voxel0075_second_secfpn_head-dcn_8xb4-flip-tta-cyclic-20e_nus-3d.py

@@ -1,5 +1,5 @@
-_base_ = './centerpoint_voxel0075_second_secfpn' \
-  '_head-dcn_8xb4-cyclic-20e_nus-3d.py'
+_base_ = \
+ 'centerpoint_voxel0075_second_secfpn_head-dcn_8xb4-cyclic-20e_nus-3d.py'
 
 point_cloud_range = [-54, -54, -5.0, 54, 54, 3.0]
 # Using calibration info convert the Lidar-coordinate point cloud range to the

configs/centerpoint/centerpoint_voxel0075_second_secfpn_head-dcn_8xb4-tta-cyclic-20e_nus-3d.py

@@ -1,5 +1,5 @@
-_base_ = './centerpoint_voxel0075_second_secfpn' \
-  '_head-dcn_8xb4-cyclic-20e_nus-3d.py'
+_base_ = \
+ './centerpoint_voxel0075_second_secfpn_head-dcn_8xb4-cyclic-20e_nus-3d.py'
 
 model = dict(test_cfg=dict(pts=dict(use_rotate_nms=True, max_num=500)))
 

configs/dfm/multiview-dfm_r101-dcn_centerhead_16xb2_waymoD5-3d-3class.py

@@ -1,4 +1,4 @@
-_base_ = ['./multiview-dfm_r101_dcn_2x16_waymoD5-3d-3class.py']
+_base_ = ['./multiview-dfm_r101-dcn_16xb2_waymoD5-3d-3class.py']
 
 model = dict(
  bbox_head=dict(

configs/dynamic_voxelization/second_dv_secfpn_8xb6-80e_kitti-3d-car.py

@@ -1,4 +1,4 @@
-_base_ = '../second/hv_second_secfpn_6x8_80e_kitti-3d-car.py'
+_base_ = '../second/second_hv_secfpn_8xb6-80e_kitti-3d-car.py'
 
 point_cloud_range = [0, -40, -3, 70.4, 40, 1]
 voxel_size = [0.05, 0.05, 0.1]

configs/nuimages/cascade-mask-rcnn-r50-fpn_coco-20e_nuim.py

@@ -1,4 +1,4 @@
-_base_ = './cascade_mask_rcnn_r50_fpn_1x_nuim.py'
+_base_ = './cascade-mask-rcnn_r50_fpn_1x_nuim.py'
 
 # learning policy
 lr_config = dict(step=[16, 19])

configs/nuimages/cascade-mask-rcnn_r101_fpn_1x_nuim.py

@@ -1,2 +1,2 @@
-_base_ = './cascade_mask_rcnn_r50_fpn_1x_nuim.py'
+_base_ = './cascade-mask-rcnn_r50_fpn_1x_nuim.py'
 model = dict(pretrained='torchvision://resnet101', backbone=dict(depth=101))

configs/nuimages/cascade-mask-rcnn_r50_fpn_1x_nuim.py

@@ -1,7 +1,7 @@
 _base_ = [
- '../_base_/models/cascade_mask_rcnn_r50_fpn.py',
- '../_base_/datasets/nuim_instance.py',
- '../_base_/schedules/mmdet_schedule_1x.py', '../_base_/default_runtime.py'
+ '../_base_/models/cascade-mask-rcnn_r50_fpn.py',
+ '../_base_/datasets/nuim-instance.py',
+ '../_base_/schedules/mmdet-schedule-1x.py', '../_base_/default_runtime.py'
 ]
 model = dict(
  roi_head=dict(

configs/nuimages/cascade-mask-rcnn_r50_fpn_coco-20e-1x_nuim.py

@@ -1,3 +1,3 @@
-_base_ = './cascade_mask_rcnn_r50_fpn_1x_nuim.py'
+_base_ = './cascade-mask-rcnn_r50_fpn_1x_nuim.py'
 
 load_from = 'http://download.openmmlab.com/mmdetection/v2.0/cascade_rcnn/cascade_mask_rcnn_r50_fpn_20e_coco/cascade_mask_rcnn_r50_fpn_20e_coco_bbox_mAP-0.419__segm_mAP-0.365_20200504_174711-4af8e66e.pth' # noqa

configs/nuimages/cascade-mask-rcnn_x101_32x4d_fpn_1x_nuim.py

@@ -1,4 +1,4 @@
-_base_ = './cascade_mask_rcnn_r50_fpn_1x_nuim.py'
+_base_ = './cascade-mask-rcnn_r50_fpn_1x_nuim.py'
 model = dict(
  pretrained='open-mmlab://resnext101_32x4d',
  backbone=dict(

configs/nuimages/htc_r50_fpn_1x_nuim.py

@@ -1,4 +1,4 @@
-_base_ = './htc_without_semantic_r50_fpn_1x_nuim.py'
+_base_ = './htc_r50_fpn_head-without-semantic_1x_nuim.py'
 model = dict(
  roi_head=dict(
  semantic_roi_extractor=dict(

configs/nuimages/mask-rcnn_r101_fpn_1x_nuim.py

@@ -1,2 +1,2 @@
-_base_ = './mask_rcnn_r50_fpn_1x_nuim.py'
+_base_ = './mask-rcnn_r50_fpn_1x_nuim.py'
 model = dict(pretrained='torchvision://resnet101', backbone=dict(depth=101))

configs/nuimages/mask-rcnn_r50_fpn_coco-2x_1x_nus-2d.py

@@ -1,7 +1,7 @@
 _base_ = [
- '../_base_/models/mask_rcnn_r50_fpn.py',
- '../_base_/datasets/nuim_instance.py',
- '../_base_/schedules/mmdet_schedule_1x.py', '../_base_/default_runtime.py'
+ '../_base_/models/mask-rcnn_r50_fpn.py',
+ '../_base_/datasets/nuim-instance.py',
+ '../_base_/schedules/mmdet-schedule-1x.py', '../_base_/default_runtime.py'
 ]
 model = dict(
  roi_head=dict(

configs/nuimages/mask-rcnn_x101_32x4d_fpn_1x_nuim.py

@@ -1,4 +1,4 @@
-_base_ = './mask_rcnn_r50_fpn_1x_nuim.py'
+_base_ = './mask-rcnn_r50_fpn_1x_nuim.py'
 model = dict(
  pretrained='open-mmlab://resnext101_32x4d',
  backbone=dict(

configs/nuimages/metafile.yml

@@ -23,9 +23,9 @@ Collections:
  Version: v2.0.0
 
 Models:
- - Name: mask_rcnn_r50_fpn_1x_nuim
+ - Name: mask-rcnn_r50_fpn_1x_nuim
  In Collection: Mask R-CNN
- Config: configs/nuimages/mask_rcnn_r50_fpn_1x_nuim.py
+ Config: configs/nuimages/mask-rcnn_r50_fpn_1x_nuim.py
  Metadata:
  Training Memory (GB): 7.4
  Training Resources: 8x TITAN Xp
@@ -40,9 +40,9 @@ Models:
  Mask AP: 38.4
  Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/mask_rcnn_r50_fpn_1x_nuim/mask_rcnn_r50_fpn_1x_nuim_20201008_195238-e99f5182.pth
 
- - Name: mask_rcnn_r50_fpn_coco-2x_1x_nuim
+ - Name: mask-rcnn_r50_fpn_coco-2x_1x_nuim
  In Collection: Mask R-CNN
- Config: configs/nuimages/mask_rcnn_r50_fpn_coco-2x_1x_nuim.py
+ Config: configs/nuimages/mask-rcnn_r50_fpn_coco-2x_1x_nuim.py
  Metadata:
  Training Memory (GB): 7.4
  Training Resources: 8x TITAN Xp
@@ -57,9 +57,9 @@ Models:
  Mask AP: 40.5
  Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/mask_rcnn_r50_fpn_coco-2x_1x_nuim/mask_rcnn_r50_fpn_coco-2x_1x_nuim_20201008_195238-b1742a60.pth
 
- - Name: mask_rcnn_r50_caffe_fpn_1x_nuim
+ - Name: mask-rcnn_r50_caffe_fpn_1x_nuim
  In Collection: Mask R-CNN
- Config: configs/nuimages/mask_rcnn_r50_caffe_fpn_1x_nuim.py
+ Config: configs/nuimages/mask-rcnn_r50_caffe_fpn_1x_nuim.py
  Metadata:
  Training Memory (GB): 7.0
  Training Resources: 8x TITAN Xp
@@ -74,9 +74,9 @@ Models:
  Mask AP: 38.2
  Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/mask_rcnn_r50_caffe_fpn_1x_nuim/
 
- - Name: mask_rcnn_r50_caffe_fpn_coco-3x_1x_nuim
+ - Name: mask-rcnn_r50_caffe_fpn_coco-3x_1x_nuim
  In Collection: Mask R-CNN
- Config: configs/nuimages/mask_rcnn_r50_caffe_fpn_coco-3x_1x_nuim.py
+ Config: configs/nuimages/mask-rcnn_r50_caffe_fpn_coco-3x_1x_nuim.py
  Metadata:
  Training Memory (GB): 7.0
  Training Resources: 8x TITAN Xp
@@ -91,9 +91,9 @@ Models:
  Mask AP: 40.8
  Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/mask_rcnn_r50_caffe_fpn_coco-3x_1x_nuim/mask_rcnn_r50_caffe_fpn_coco-3x_1x_nuim_20201008_195305-661a992e.pth
 
- - Name: mask_rcnn_r50_caffe_fpn_coco-3x_20e_nuim
+ - Name: mask-rcnn_r50_caffe_fpn_coco-3x_20e_nuim
  In Collection: Mask R-CNN
- Config: configs/nuimages/mask_rcnn_r50_caffe_fpn_coco-3x_20e_nuim.py
+ Config: configs/nuimages/mask-rcnn_r50_caffe_fpn_coco-3x_20e_nuim.py
  Metadata:
  Training Memory (GB): 7.0
  Training Resources: 8x TITAN Xp
@@ -108,7 +108,7 @@ Models:
  Mask AP: 41.3
  Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/mask_rcnn_r50_caffe_fpn_coco-3x_20e_nuim/mask_rcnn_r50_caffe_fpn_coco-3x_20e_nuim_20201009_125002-5529442c.pth
 
- - Name: mask_rcnn_r101_fpn_1x_nuim
+ - Name: mask-rcnn_r101_fpn_1x_nuim
  In Collection: Mask R-CNN
  Config: configs/nuimages/mask-rcnn_r101_fpn_1x_nuim.py
  Metadata:
@@ -125,7 +125,7 @@ Models:
  Mask AP: 39.1
  Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/mask_rcnn_r101_fpn_1x_nuim/mask_rcnn_r101_fpn_1x_nuim_20201024_134803-65c7623a.pth
 
- - Name: mask_rcnn_x101_32x4d_fpn_1x_nuim
+ - Name: mask-rcnn_x101_32x4d_fpn_1x_nuim
  In Collection: Mask R-CNN
  Config: configs/nuimages/mask-rcnn_x101_32x4d_fpn_1x_nuim.py
  Metadata:
@@ -142,9 +142,9 @@ Models:
  Mask AP: 40.5
  Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/mask_rcnn_x101_32x4d_fpn_1x_nuim/mask_rcnn_x101_32x4d_fpn_1x_nuim_20201024_135741-b699ab37.pth
 
- - Name: cascade_mask_rcnn_r50_fpn_1x_nuim
+ - Name: cascade-mask-rcnn_r50_fpn_1x_nuim
  In Collection: Mask R-CNN
- Config: configs/nuimages/cascade_mask_rcnn_r50_fpn_1x_nuim.py
+ Config: configs/nuimages/cascade-mask-rcnn_r50_fpn_1x_nuim.py
  Metadata:
  Training Memory (GB): 8.9
  Training Resources: 8x TITAN Xp
@@ -159,9 +159,9 @@ Models:
  Mask AP: 40.4
  Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/cascade_mask_rcnn_r50_fpn_1x_nuim/cascade_mask_rcnn_r50_fpn_1x_nuim_20201008_195342-1147c036.pth
 
- - Name: cascade_mask_rcnn_r50_fpn_coco-20e_1x_nuim
+ - Name: cascade-mask-rcnn_r50_fpn_coco-20e_1x_nuim
  In Collection: Mask R-CNN
- Config: configs/nuimages/cascade_mask_rcnn_r50_fpn_coco-20e_1x_nuim.py
+ Config: configs/nuimages/cascade-mask-rcnn_r50_fpn_coco-20e_1x_nuim.py
  Metadata:
  Training Memory (GB): 8.9
  Training Resources: 8x TITAN Xp
@@ -176,9 +176,9 @@ Models:
  Mask AP: 42.2
  Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/cascade_mask_rcnn_r50_fpn_coco-20e_1x_nuim/cascade_mask_rcnn_r50_fpn_coco-20e_1x_nuim_20201009_124158-ad0540e3.pth
 
- - Name: cascade_mask_rcnn_r50_fpn_coco-20e_20e_nuim
+ - Name: cascade-mask-rcnn_r50_fpn_coco-20e_20e_nuim
  In Collection: Mask R-CNN
- Config: configs/nuimages/cascade_mask_rcnn_r50_fpn_coco-20e_20e_nuim.py
+ Config: configs/nuimages/cascade-mask-rcnn_r50_fpn_coco-20e_20e_nuim.py
  Metadata:
  Training Memory (GB): 8.9
  Training Resources: 8x TITAN Xp
@@ -193,9 +193,9 @@ Models:
  Mask AP: 42.2
  Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/cascade_mask_rcnn_r50_fpn_coco-20e_20e_nuim/cascade_mask_rcnn_r50_fpn_coco-20e_20e_nuim_20201009_124951-40963960.pth
 
- - Name: cascade_mask_rcnn_r101_fpn_1x_nuim
+ - Name: cascade-mask-rcnn_r101_fpn_1x_nuim
  In Collection: Mask R-CNN
- Config: configs/nuimages/cascade_mask_rcnn_r101_fpn_1x_nuim.py
+ Config: configs/nuimages/cascade-mask-rcnn_r101_fpn_1x_nuim.py
  Metadata:
  Training Memory (GB): 12.5
  Training Resources: 8x TITAN Xp
@@ -210,9 +210,9 @@ Models:
  Mask AP: 40.7
  Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/cascade_mask_rcnn_r101_fpn_1x_nuim/cascade_mask_rcnn_r101_fpn_1x_nuim_20201024_134804-45215b1e.pth
 
- - Name: cascade_mask_rcnn_x101_32x4d_fpn_1x_nuim
+ - Name: cascade-mask-rcnn_x101_32x4d_fpn_1x_nuim
  In Collection: Mask R-CNN
- Config: configs/nuimages/cascade_mask_rcnn_x101_32x4d_fpn_1x_nuim.py
+ Config: configs/nuimages/cascade-mask-rcnn_x101_32x4d_fpn_1x_nuim.py
  Metadata:
  Training Memory (GB): 14.9
  Training Resources: 8x TITAN Xp

configs/regnet/pointpillars_hv_regnet-400mf_secfpn_sbn-all_8xb2-2x_lyft-3d.py

@@ -1,4 +1,4 @@
-_base_ = './hv_pointpillars_regnet-400mf_fpn_sbn-all_2x8_2x_lyft-3d.py'
+_base_ = './pointpillars_hv_regnet-400mf_fpn_sbn-all_8xb2-2x_lyft-3d.py'
 # model settings
 model = dict(
  pts_neck=dict(

configs/regnet/pointpillars_hv_regnet-400mf_secfpn_sbn-all_8xb4-2x_nus-3d.py

@@ -1,4 +1,4 @@
-_base_ = './hv_pointpillars_regnet-400mf_fpn_sbn-all_4x8_2x_nus-3d.py'
+_base_ = './pointpillars_hv_regnet-400mf_fpn_sbn-all_8xb4-2x_nus-3d.py'
 # model settings
 model = dict(
  pts_neck=dict(

configs/regnet/pointpillars_hv_regnet-400mf_secfpn_sbn-all_range100_8xb2-2x_lyft-3d.py

@@ -1,5 +1,5 @@
 _base_ = \
- './hv_pointpillars_regnet-400mf_fpn_sbn-all_range100_2x8_2x_lyft-3d.py'
+ './pointpillars_hv_regnet-400mf_fpn_sbn-all_range100_8xb2-2x_lyft-3d.py'
 # model settings
 model = dict(
  pts_neck=dict(