[Fix] update the key name of modules from mmdet in cfgs (#2011)

open-mmlab · Nov 15, 2022 · bd2a49d · bd2a49d
1 parent 59119a0
commit bd2a49d
Show file tree

Hide file tree

Showing 6 changed files with 8 additions and 6 deletions.
diff --git a/configs/_base_/models/cascade-mask-rcnn_r50_fpn.py b/configs/_base_/models/cascade-mask-rcnn_r50_fpn.py
@@ -2,6 +2,7 @@
 model = dict(
     type='CascadeRCNN',
     pretrained='torchvision://resnet50',
+    _scope_='mmdet',
     backbone=dict(
         type='ResNet',
         depth=50,

diff --git a/configs/_base_/models/imvotenet.py b/configs/_base_/models/imvotenet.py
@@ -63,17 +63,17 @@
 
     # model training and testing settings
     train_cfg=dict(
+        _scope_='mmdet',
         img_rpn=dict(
             assigner=dict(
-                _scope_='mmdet',
                 type='MaxIoUAssigner',
                 pos_iou_thr=0.7,
                 neg_iou_thr=0.3,
                 min_pos_iou=0.3,
                 match_low_quality=True,
                 ignore_iof_thr=-1),
             sampler=dict(
-                type='mmdet.RandomSampler',
+                type='RandomSampler',
                 num=256,
                 pos_fraction=0.5,
                 neg_pos_ub=-1,
@@ -90,15 +90,14 @@
             min_bbox_size=0),
         img_rcnn=dict(
             assigner=dict(
-                _scope_='mmdet',
                 type='MaxIoUAssigner',
                 pos_iou_thr=0.5,
                 neg_iou_thr=0.5,
                 min_pos_iou=0.5,
                 match_low_quality=False,
                 ignore_iof_thr=-1),
             sampler=dict(
-                type='mmdet.RandomSampler',
+                type='RandomSampler',
                 num=512,
                 pos_fraction=0.25,
                 neg_pos_ub=-1,

diff --git a/configs/_base_/models/mask-rcnn_r50_fpn.py b/configs/_base_/models/mask-rcnn_r50_fpn.py
@@ -2,6 +2,7 @@
 model = dict(
     type='MaskRCNN',
     pretrained='torchvision://resnet50',
+    _scope_='mmdet',
     backbone=dict(
         type='ResNet',
         depth=50,

diff --git a/configs/nuimages/htc_r50_fpn_head-without-semantic_1x_nuim.py b/configs/nuimages/htc_r50_fpn_head-without-semantic_1x_nuim.py
@@ -6,6 +6,7 @@
 model = dict(
     type='HybridTaskCascade',
     pretrained='torchvision://resnet50',
+    _scope_='mmdet',
     backbone=dict(
         type='ResNet',
         depth=50,

diff --git a/configs/second/second_hv_secfpn_8xb6-80e_kitti-3d-car.py b/configs/second/second_hv_secfpn_8xb6-80e_kitti-3d-car.py
@@ -19,7 +19,7 @@
     train_cfg=dict(
         _delete_=True,
         assigner=dict(
-            type='MaxIoUAssigner',
+            type='Max3DIoUAssigner',
             iou_calculator=dict(type='BboxOverlapsNearest3D'),
             pos_iou_thr=0.6,
             neg_iou_thr=0.45,

diff --git a/configs/ssn/ssn_hv_secfpn_sbn-all_16xb2-2x_lyft-3d.py b/configs/ssn/ssn_hv_secfpn_sbn-all_16xb2-2x_lyft-3d.py
@@ -174,7 +174,7 @@
                     min_pos_iou=0.4,
                     ignore_iof_thr=-1),
                 dict(  # animal
-                    type='MaxIoUAssigner',
+                    type='Max3DIoUAssigner',
                     iou_calculator=dict(type='BboxOverlapsNearest3D'),
                     pos_iou_thr=0.55,
                     neg_iou_thr=0.4,