| 4 | |
| 5 | |
| 6 | class FlowHead(nn.Module): |
| 7 | def __init__(self, input_dim=128, hidden_dim=256): |
| 8 | super(FlowHead, self).__init__() |
| 9 | self.conv1 = nn.Conv2d(input_dim, hidden_dim, 3, padding=1) |
| 10 | self.conv2 = nn.Conv2d(hidden_dim, 2, 3, padding=1) |
| 11 | self.relu = nn.ReLU(inplace=True) |
| 12 | |
| 13 | def forward(self, x): |
| 14 | return self.conv2(self.relu(self.conv1(x))) |
| 15 | |
| 16 | class ConvGRU(nn.Module): |
| 17 | def __init__(self, hidden_dim=128, input_dim=192+128): |