| 14 | return self.conv2(self.relu(self.conv1(x))) |
| 15 | |
| 16 | class FlowHead_cnn(nn.Module): |
| 17 | def __init__(self, input_dim=128, hidden_dim=256): |
| 18 | super(FlowHead_cnn, self).__init__() |
| 19 | self.conv1 = nn.Conv2d(input_dim, hidden_dim, 3, padding=1) |
| 20 | self.conv2 = nn.Conv2d(hidden_dim, 2, 3, padding=1) |
| 21 | self.relu = nn.ReLU(inplace=True) |
| 22 | |
| 23 | def forward(self, x): |
| 24 | return self.conv2(self.relu(self.conv1(x))) |
| 25 | |
| 26 | class ConvGRU(nn.Module): |
| 27 | def __init__(self, hidden_dim=128, input_dim=192+128): |