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fix typo (#1405)

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Xiangxu-0103 2022-03-23 10:36:27 +08:00 committed by GitHub
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mmseg/models/necks/fpn.py
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@ -16,8 +16,8 @@ class FPN(BaseModule):
Detection <https://arxiv.org/abs/1612.03144>`_. Detection <https://arxiv.org/abs/1612.03144>`_.
Args: Args:
in_channels (List[int]): Number of input channels per scale. in_channels (list[int]): Number of input channels per scale.
out_channels (int): Number of output channels (used at each scale) out_channels (int): Number of output channels (used at each scale).
num_outs (int): Number of output scales. num_outs (int): Number of output scales.
start_level (int): Index of the start input backbone level used to start_level (int): Index of the start input backbone level used to
build the feature pyramid. Default: 0. build the feature pyramid. Default: 0.
@ -30,7 +30,7 @@ class FPN(BaseModule):
Only the following options are allowed Only the following options are allowed
- 'on_input': Last feat map of neck inputs (i.e. backbone feature). - '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. - 'on_output': The last output feature map after fpn convs.
extra_convs_on_inputs (bool, deprecated): Whether to apply extra convs extra_convs_on_inputs (bool, deprecated): Whether to apply extra convs
on the original feature from the backbone. If True, on the original feature from the backbone. If True,
@ -42,10 +42,10 @@ class FPN(BaseModule):
Default: False. Default: False.
conv_cfg (dict): Config dict for convolution layer. Default: None. conv_cfg (dict): Config dict for convolution layer. Default: None.
norm_cfg (dict): Config dict for normalization 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. Default: None.
upsample_cfg (dict): Config dict for interpolate layer. 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. init_cfg (dict or list[dict], optional): Initialization config dict.
Example: Example: