[Fix] Fix typo in FPN neck (#7347)

* update readme and pretrained related (#7301) * [Docs] Add Chinese version of onnx2tensorrt.md (#7219) * Fix bug of docs * translate onnx2tensorrt.md * fix * fix end-of-file-fixer * fix some bugs * 修复链接跳转 * 修复链接跳转 * 修复链接跳转-测试1 * 修复链接跳转-测试2 * 修复链接跳转-测试2 * 修复链接跳转-测试3 * 修复链接跳转-测试5 * Fix Co-authored-by: jbwang1997 <[email protected]> * Update useful_tools.md (#7180) * [Enhancement]: Update colab tutorials (#7310) * update colab tutorials * update * fix * fix wrong CUDA explaination * resolve comments * resolve comments * fix typo Co-authored-by: Cedric Luo <[email protected]> Co-authored-by: tripleMu <[email protected]> Co-authored-by: jbwang1997 <[email protected]> Co-authored-by: kira <[email protected]> Co-authored-by: Wenwei Zhang <[email protected]>
open-mmlab · Mar 16, 2022 · ab16260 · ab16260
1 parent 62feea5
commit ab16260
Showing 1 changed file with 5 additions and 5 deletions.
diff --git a/mmdet/models/necks/fpn.py b/mmdet/models/necks/fpn.py
@@ -15,8 +15,8 @@ class FPN(BaseModule):
     Detection <https://arxiv.org/abs/1612.03144>`_.
 
     Args:
-        in_channels (List[int]): Number of input channels per scale.
-        out_channels (int): Number of output channels (used at each scale)
+        in_channels (list[int]): Number of input channels per scale.
+        out_channels (int): Number of output channels (used at each scale).
         num_outs (int): Number of output scales.
         start_level (int): Index of the start input backbone level used to
             build the feature pyramid. Default: 0.
@@ -29,18 +29,18 @@ class FPN(BaseModule):
             Only the following options are allowed
 
             - 'on_input': Last feat map of neck inputs (i.e. backbone feature).
-            - 'on_lateral':  Last feature map after lateral convs.
+            - 'on_lateral': Last feature map after lateral convs.
             - 'on_output': The last output feature map after fpn convs.
         relu_before_extra_convs (bool): Whether to apply relu before the extra
             conv. Default: False.
         no_norm_on_lateral (bool): Whether to apply norm on lateral.
             Default: False.
         conv_cfg (dict): Config dict for convolution layer. Default: None.
         norm_cfg (dict): Config dict for normalization layer. Default: None.
-        act_cfg (str): Config dict for activation layer in ConvModule.
+        act_cfg (dict): Config dict for activation layer in ConvModule.
             Default: None.
         upsample_cfg (dict): Config dict for interpolate layer.
-            Default: `dict(mode='nearest')`
+            Default: dict(mode='nearest').
         init_cfg (dict or list[dict], optional): Initialization config dict.
 
     Example: