Change 'modelzoo' to 'torchvision' (#1016)

configs/cascade_mask_rcnn_r101_fpn_1x.py

@@ -2,7 +2,7 @@
 model = dict(
     type='CascadeRCNN',
     num_stages=3,
-    pretrained='modelzoo://resnet101',
+    pretrained='torchvision://resnet101',
     backbone=dict(
         type='ResNet',
         depth=101,

configs/cascade_mask_rcnn_r50_fpn_1x.py

@@ -2,7 +2,7 @@
 model = dict(
     type='CascadeRCNN',
     num_stages=3,
-    pretrained='modelzoo://resnet50',
+    pretrained='torchvision://resnet50',
     backbone=dict(
         type='ResNet',
         depth=50,

configs/cascade_rcnn_r101_fpn_1x.py

@@ -2,7 +2,7 @@
 model = dict(
     type='CascadeRCNN',
     num_stages=3,
-    pretrained='modelzoo://resnet101',
+    pretrained='torchvision://resnet101',
     backbone=dict(
         type='ResNet',
         depth=101,

configs/cascade_rcnn_r50_fpn_1x.py

@@ -2,7 +2,7 @@
 model = dict(
     type='CascadeRCNN',
     num_stages=3,
-    pretrained='modelzoo://resnet50',
+    pretrained='torchvision://resnet50',
     backbone=dict(
         type='ResNet',
         depth=50,

configs/dcn/cascade_mask_rcnn_dconv_c3-c5_r50_fpn_1x.py

@@ -2,7 +2,7 @@
 model = dict(
     type='CascadeRCNN',
     num_stages=3,
-    pretrained='modelzoo://resnet50',
+    pretrained='torchvision://resnet50',
     backbone=dict(
         type='ResNet',
         depth=50,

configs/dcn/cascade_rcnn_dconv_c3-c5_r50_fpn_1x.py

@@ -2,7 +2,7 @@
 model = dict(
     type='CascadeRCNN',
     num_stages=3,
-    pretrained='modelzoo://resnet50',
+    pretrained='torchvision://resnet50',
     backbone=dict(
         type='ResNet',
         depth=50,

configs/dcn/faster_rcnn_dconv_c3-c5_r50_fpn_1x.py

 # model settings
 model = dict(
     type='FasterRCNN',
-    pretrained='modelzoo://resnet50',
+    pretrained='torchvision://resnet50',
     backbone=dict(
         type='ResNet',
         depth=50,

configs/dcn/faster_rcnn_dpool_r50_fpn_1x.py

 # model settings
 model = dict(
     type='FasterRCNN',
-    pretrained='modelzoo://resnet50',
+    pretrained='torchvision://resnet50',
     backbone=dict(
         type='ResNet',
         depth=50,

configs/dcn/faster_rcnn_mdconv_c3-c5_r50_fpn_1x.py

 # model settings
 model = dict(
     type='FasterRCNN',
-    pretrained='modelzoo://resnet50',
+    pretrained='torchvision://resnet50',
     backbone=dict(
         type='ResNet',
         depth=50,

configs/dcn/faster_rcnn_mdpool_r50_fpn_1x.py

 # model settings
 model = dict(
     type='FasterRCNN',
-    pretrained='modelzoo://resnet50',
+    pretrained='torchvision://resnet50',
     backbone=dict(
         type='ResNet',
         depth=50,

configs/dcn/mask_rcnn_dconv_c3-c5_r50_fpn_1x.py

 # model settings
 model = dict(
     type='MaskRCNN',
-    pretrained='modelzoo://resnet50',
+    pretrained='torchvision://resnet50',
     backbone=dict(
         type='ResNet',
         depth=50,

configs/empirical_attention/faster_rcnn_r50_fpn_attention_0010_1x.py

 # model settings
 model = dict(
     type='FasterRCNN',
-    pretrained='modelzoo://resnet50',
+    pretrained='torchvision://resnet50',
     backbone=dict(
         type='ResNet',
         depth=50,

configs/empirical_attention/faster_rcnn_r50_fpn_attention_0010_dcn_1x.py

 # model settings
 model = dict(
     type='FasterRCNN',
-    pretrained='modelzoo://resnet50',
+    pretrained='torchvision://resnet50',
     backbone=dict(
         type='ResNet',
         depth=50,

configs/empirical_attention/faster_rcnn_r50_fpn_attention_1111_1x.py

 # model settings
 model = dict(
     type='FasterRCNN',
-    pretrained='modelzoo://resnet50',
+    pretrained='torchvision://resnet50',
     backbone=dict(
         type='ResNet',
         depth=50,

configs/empirical_attention/faster_rcnn_r50_fpn_attention_1111_dcn_1x.py

 # model settings
 model = dict(
     type='FasterRCNN',
-    pretrained='modelzoo://resnet50',
+    pretrained='torchvision://resnet50',
     backbone=dict(
         type='ResNet',
         depth=50,

configs/fast_mask_rcnn_r101_fpn_1x.py

 # model settings
 model = dict(
     type='FastRCNN',
-    pretrained='modelzoo://resnet101',
+    pretrained='torchvision://resnet101',
     backbone=dict(
         type='ResNet',
         depth=101,

configs/fast_mask_rcnn_r50_fpn_1x.py

 # model settings
 model = dict(
     type='FastRCNN',
-    pretrained='modelzoo://resnet50',
+    pretrained='torchvision://resnet50',
     backbone=dict(
         type='ResNet',
         depth=50,

configs/fast_rcnn_r101_fpn_1x.py

 # model settings
 model = dict(
     type='FastRCNN',
-    pretrained='modelzoo://resnet101',
+    pretrained='torchvision://resnet101',
     backbone=dict(
         type='ResNet',
         depth=101,

configs/fast_rcnn_r50_fpn_1x.py

 # model settings
 model = dict(
     type='FastRCNN',
-    pretrained='modelzoo://resnet50',
+    pretrained='torchvision://resnet50',
     backbone=dict(
         type='ResNet',
         depth=50,

configs/faster_rcnn_ohem_r50_fpn_1x.py

 # model settings
 model = dict(
     type='FasterRCNN',
-    pretrained='modelzoo://resnet50',
+    pretrained='torchvision://resnet50',
     backbone=dict(
         type='ResNet',
         depth=50,