The path of the annotation is wrong in the tutorial (open-mmlab#907)

* Update config.md

* Update config.md

Author: yangrisheng

docs/tutorials/config.md

@@ -48,7 +48,7 @@ model = dict(
     type='EncoderDecoder',  # Name of segmentor
     pretrained='open-mmlab://resnet50_v1c',  # The ImageNet pretrained backbone to be loaded
     backbone=dict(
-        type='ResNetV1c',  # The type of backbone. Please refer to mmseg/backbone/resnet.py for details.
+        type='ResNetV1c',  # The type of backbone. Please refer to mmseg/models/backbones/resnet.py for details.
         depth=50,  # Depth of backbone. Normally 50, 101 are used.
         num_stages=4,  # Number of stages of backbone.
         out_indices=(0, 1, 2, 3),  # The index of output feature maps produced in each stages.

docs_zh-CN/tutorials/config.md

@@ -44,7 +44,7 @@ model = dict(
     type='EncoderDecoder',  # 分割器(segmentor)的名字
     pretrained='open-mmlab://resnet50_v1c',  # 将被加载的 ImageNet 预训练主干网络
     backbone=dict(
-        type='ResNetV1c',  # 主干网络的类别。 可用选项请参考 mmseg/backbone/resnet.py
+        type='ResNetV1c',  # 主干网络的类别。 可用选项请参考 mmseg/models/backbones/resnet.py
         depth=50,  # 主干网络的深度。通常为 50 和 101。
         num_stages=4,  # 主干网络状态(stages)的数目，这些状态产生的特征图作为后续的 head 的输入。
         out_indices=(0, 1, 2, 3),  # 每个状态产生的特征图输出的索引。