[cherry pick] fix configs in paddle detection (#2663)

* [cherry pick] fix configs in paddle detection

* [cherry pick] add depth for ResNetC5

PaddleCV/PaddleDetection/configs/faster_rcnn_r101_1x.yml

@@ -25,6 +25,7 @@ ResNet:
   freeze_at: 2
 
 ResNetC5:
+  depth: 101
   norm_type: affine_channel
 
 RPNHead:

PaddleCV/PaddleDetection/configs/faster_rcnn_r50_1x.yml

@@ -25,6 +25,7 @@ ResNet:
   freeze_at: 2
 
 ResNetC5:
+  depth: 50
   norm_type: affine_channel
 
 RPNHead:

PaddleCV/PaddleDetection/configs/faster_rcnn_r50_2x.yml

@@ -25,6 +25,7 @@ ResNet:
   freeze_at: 2
 
 ResNetC5:
+  depth: 50
   norm_type: affine_channel
 
 RPNHead:

PaddleCV/PaddleDetection/configs/faster_rcnn_r50_fpn_2x.yml

@@ -2,7 +2,7 @@ architecture: FasterRCNN
 train_feed: FasterRCNNTrainFeed
 eval_feed: FasterRCNNEvalFeed
 test_feed: FasterRCNNTestFeed
-max_iters: 90000
+max_iters: 180000
 use_gpu: true
 snapshot_iter: 10000
 log_smooth_window: 20

PaddleCV/PaddleDetection/configs/faster_rcnn_r50_vd_1x.yml

@@ -26,6 +26,7 @@ ResNet:
   variant: d
 
 ResNetC5:
+  depth: 50
   norm_type: affine_channel
   variant: d
 

PaddleCV/PaddleDetection/configs/mask_rcnn_r50_1x.yml

@@ -28,6 +28,7 @@ ResNet:
   freeze_at: 2
 
 ResNetC5:
+  depth: 50
   norm_type: affine_channel
 
 RPNHead:

PaddleCV/PaddleDetection/configs/mask_rcnn_r50_2x.yml

@@ -29,6 +29,7 @@ ResNet:
   freeze_at: 2
 
 ResNetC5:
+  depth: 50
   norm_type: affine_channel
 
 RPNHead:

PaddleCV/PaddleDetection/ppdet/utils/checkpoint.py

@@ -183,8 +183,8 @@ def load_and_fusebn(exe, prog, path):
                         [scale_name, bias_name, mean_name, variance_name])
 
     if not bn_in_path:
-        raise ValueError("The model in path {} has not params of batch norm.")
-
+        raise ValueError("There is no params of batch norm in model {}.".format(
+            path))
     # load running mean and running variance on cpu place into global scope.
     place = fluid.CPUPlace()
     exe_cpu = fluid.Executor(place)