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

configs/faster_rcnn_r101_fpn_1x.py

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

configs/faster_rcnn_r50_fpn_1x.py

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

configs/fp16/faster_rcnn_r50_fpn_fp16_1x.py

@@ -4,7 +4,7 @@ fp16 = dict(loss_scale=512.)
 # model settings
 model = dict(
     type='FasterRCNN',
-    pretrained='modelzoo://resnet50',
+    pretrained='torchvision://resnet50',
     backbone=dict(
         type='ResNet',
         depth=50,

configs/fp16/mask_rcnn_r50_fpn_fp16_1x.py

@@ -4,7 +4,7 @@ fp16 = dict(loss_scale=512.)
 # model settings
 model = dict(
     type='MaskRCNN',
-    pretrained='modelzoo://resnet50',
+    pretrained='torchvision://resnet50',
     backbone=dict(
         type='ResNet',
         depth=50,

configs/fp16/retinanet_r50_fpn_fp16_1x.py

@@ -4,7 +4,7 @@ fp16 = dict(loss_scale=512.)
 # model settings
 model = dict(
     type='RetinaNet',
-    pretrained='modelzoo://resnet50',
+    pretrained='torchvision://resnet50',
     backbone=dict(
         type='ResNet',
         depth=50,

configs/gcnet/mask_rcnn_r16_gcb_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/gcnet/mask_rcnn_r16_gcb_c3-c5_r50_fpn_syncbn_1x.py

@@ -3,7 +3,7 @@ norm_cfg = dict(type='SyncBN', requires_grad=True)
 
 model = dict(
     type='MaskRCNN',
-    pretrained='modelzoo://resnet50',
+    pretrained='torchvision://resnet50',
     backbone=dict(
         type='ResNet',
         depth=50,

configs/gcnet/mask_rcnn_r4_gcb_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/gcnet/mask_rcnn_r4_gcb_c3-c5_r50_fpn_syncbn_1x.py

@@ -3,7 +3,7 @@ norm_cfg = dict(type='SyncBN', requires_grad=True)
 
 model = dict(
     type='MaskRCNN',
-    pretrained='modelzoo://resnet50',
+    pretrained='torchvision://resnet50',
     backbone=dict(
         type='ResNet',
         depth=50,

configs/gcnet/mask_rcnn_r50_fpn_sbn_1x.py

@@ -3,7 +3,7 @@ norm_cfg = dict(type='SyncBN', requires_grad=True)
 
 model = dict(
     type='MaskRCNN',
-    pretrained='modelzoo://resnet50',
+    pretrained='torchvision://resnet50',
     backbone=dict(
         type='ResNet',
         depth=50,

configs/ghm/retinanet_ghm_r50_fpn_1x.py

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

configs/grid_rcnn/grid_rcnn_gn_head_r50_fpn_2x.py

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

configs/htc/htc_r101_fpn_20e.py

@@ -2,7 +2,7 @@
 model = dict(
     type='HybridTaskCascade',
     num_stages=3,
-    pretrained='modelzoo://resnet101',
+    pretrained='torchvision://resnet101',
     interleaved=True,
     mask_info_flow=True,
     backbone=dict(

configs/htc/htc_r50_fpn_1x.py

@@ -2,7 +2,7 @@
 model = dict(
     type='HybridTaskCascade',
     num_stages=3,
-    pretrained='modelzoo://resnet50',
+    pretrained='torchvision://resnet50',
     interleaved=True,
     mask_info_flow=True,
     backbone=dict(

configs/htc/htc_r50_fpn_20e.py

@@ -2,7 +2,7 @@
 model = dict(
     type='HybridTaskCascade',
     num_stages=3,
-    pretrained='modelzoo://resnet50',
+    pretrained='torchvision://resnet50',
     interleaved=True,
     mask_info_flow=True,
     backbone=dict(

configs/htc/htc_without_semantic_r50_fpn_1x.py

@@ -2,7 +2,7 @@
 model = dict(
     type='HybridTaskCascade',
     num_stages=3,
-    pretrained='modelzoo://resnet50',
+    pretrained='torchvision://resnet50',
     interleaved=True,
     mask_info_flow=True,
     backbone=dict(

configs/libra_rcnn/libra_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/libra_rcnn/libra_faster_rcnn_r101_fpn_1x.py

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

configs/libra_rcnn/libra_faster_rcnn_r50_fpn_1x.py

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

configs/libra_rcnn/libra_retinanet_r50_fpn_1x.py

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