[Fix] Fix typo in FPN neck (open-mmlab#7347)

* update readme and pretrained related (open-mmlab#7301)

* [Docs] Add Chinese version of onnx2tensorrt.md (open-mmlab#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 <jbwang1997@gmail.com>

* Update useful_tools.md (open-mmlab#7180)

* [Enhancement]: Update colab tutorials (open-mmlab#7310)

* update colab tutorials

* update

* fix

* fix wrong CUDA explaination

* resolve comments

* resolve comments

* fix typo

Co-authored-by: Cedric Luo <luochunhua1996@outlook.com>
Co-authored-by: tripleMu <92794867+q3394101@users.noreply.github.com>
Co-authored-by: jbwang1997 <jbwang1997@gmail.com>
Co-authored-by: kira <39787375+yangrisheng@users.noreply.github.com>
Co-authored-by: Wenwei Zhang <40779233+ZwwWayne@users.noreply.github.com>

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: