INNER CODE UNIT · Python

Network

Boese0601/MagicDance · model_lib/ControlNet/annotator/hed/__init__.py:7

class Network(torch.nn.Module):
    def __init__(self):
        super().__init__()

        self.netVggOne = torch.nn.Sequential(
            torch.nn.Conv2d(in_channels=3, out_channels=64, kernel_size=3, stride=1, padding=1),
            torch.nn.ReLU(inplace=False),
            torch.nn.Conv2d(in_channels=64, out_channels=64, kernel_size=3, stride=1, padding=1),
            torch.nn.ReLU(inplace=False)
        )

        self.netVggTwo = torch.nn.Sequential(
            torch.nn.MaxPool2d(kernel_size=2, stride=2),
            torch.nn.Conv2d(in_channels=64, out_channels=128, kernel_size=3, stride=1, padding=1),
            torch.nn.ReLU(inplace=False),
            torch.nn.Conv2d(in_channels=128, out_channels=128, kernel_size=3, stride=1, padding=1),
            torch.nn.ReLU(inplace=False)
        )

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