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author | Jordan Gong <jordan.gong@protonmail.com> | 2020-12-30 16:58:17 +0800 |
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committer | Jordan Gong <jordan.gong@protonmail.com> | 2020-12-30 16:58:17 +0800 |
commit | 5ba9390a7e4e8dbf366cfd280403cf37a6b22bab (patch) | |
tree | 7aa7db759ccd1cb410b5d9c738a0b7d071493a95 /models/layers.py | |
parent | 0178b7722c63820d701b0442b5946d9a042074d7 (diff) |
Combine FPFE and TFA to GaitPart
Diffstat (limited to 'models/layers.py')
-rw-r--r-- | models/layers.py | 27 |
1 files changed, 27 insertions, 0 deletions
diff --git a/models/layers.py b/models/layers.py index 62a3cc6..c69ae07 100644 --- a/models/layers.py +++ b/models/layers.py @@ -119,6 +119,33 @@ class FocalConv2d(BasicConv2d): return F.leaky_relu(z, inplace=True) +class FocalConv2dBlock(nn.Module): + def __init__( + self, + in_channels: int, + out_channels: int, + kernel_sizes: tuple[int, int], + paddings: tuple[int, int], + halving: int, + use_pool: bool = True, + **kwargs + ): + super().__init__() + self.use_pool = use_pool + self.fconv1 = FocalConv2d(in_channels, out_channels, kernel_sizes[0], + halving, padding=paddings[0], **kwargs) + self.fconv2 = FocalConv2d(out_channels, out_channels, kernel_sizes[1], + halving, padding=paddings[1], **kwargs) + self.max_pool = nn.MaxPool2d(2) + + def forward(self, x): + x = self.fconv1(x) + x = self.fconv2(x) + if self.use_pool: + x = self.max_pool(x) + return x + + class BasicConv1d(nn.Module): def __init__( self, |