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Diffstat (limited to 'models/fpfe.py')
| -rw-r--r-- | models/fpfe.py | 37 |
1 files changed, 37 insertions, 0 deletions
diff --git a/models/fpfe.py b/models/fpfe.py new file mode 100644 index 0000000..4a5cde8 --- /dev/null +++ b/models/fpfe.py @@ -0,0 +1,37 @@ +from torch import nn as nn +from torch.nn import functional as F + +from models.layers import FocalConv2d + + +class FrameLevelPartFeatureExtractor(nn.Module): + + def __init__(self, in_channels: int): + super(FrameLevelPartFeatureExtractor, self).__init__() + nf = 32 + + self.focal_conv1 = FocalConv2d(in_channels, nf, kernel_size=5, + padding=2, halving=1) + self.focal_conv2 = FocalConv2d(nf, nf, kernel_size=3, + padding=1, halving=1) + self.focal_conv3 = FocalConv2d(nf, nf * 2, kernel_size=3, + padding=1, halving=4) + self.focal_conv4 = FocalConv2d(nf * 2, nf * 2, kernel_size=3, + padding=1, halving=4) + self.focal_conv5 = FocalConv2d(nf * 2, nf * 4, kernel_size=3, + padding=1, halving=8) + self.focal_conv6 = FocalConv2d(nf * 4, nf * 4, kernel_size=3, + padding=1, halving=8) + self.max_pool = nn.MaxPool2d(kernel_size=2, stride=2) + + def forward(self, x): + x = F.leaky_relu(self.focal_conv1(x)) + x = F.leaky_relu(self.focal_conv2(x)) + x = self.max_pool(x) + x = F.leaky_relu(self.focal_conv3(x)) + x = F.leaky_relu(self.focal_conv4(x)) + x = self.max_pool(x) + x = F.leaky_relu(self.focal_conv5(x)) + x = F.leaky_relu(self.focal_conv6(x)) + + return x
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