Method __init__

lib/network_auxi.py:289–304

(self, inchannels)

class ResidualConv(nn.Module):
    def __init__(self, inchannels):
        super(ResidualConv, self).__init__()
        # NN.BatchNorm2d
        self.conv = nn.Sequential(
            # nn.BatchNorm2d(num_features=inchannels),
            nn.ReLU(inplace=False),
            # nn.Conv2d(in_channels=inchannels, out_channels=inchannels, kernel_size=3, padding=1, stride=1, groups=inchannels,bias=True),
            # nn.Conv2d(in_channels=inchannels, out_channels=inchannels, kernel_size=1, padding=0, stride=1, groups=1,bias=True)
            nn.Conv2d(in_channels=inchannels, out_channels=inchannels / 2, kernel_size=3, padding=1, stride=1,
                      bias=False),
            nn.BatchNorm2d(num_features=inchannels / 2),
            nn.ReLU(inplace=False),
            nn.Conv2d(in_channels=inchannels / 2, out_channels=inchannels, kernel_size=3, padding=1, stride=1,
                      bias=False)
        )
        self.init_params()

    def forward(self, x):
        x = self.conv(x) + x