(self, flow, corr)
| 69 | self.conv = nn.Conv2d(128, 80, 3, padding=1) |
| 70 | |
| 71 | def forward(self, flow, corr): |
| 72 | cor = F.relu(self.convc1(corr)) |
| 73 | flo = F.relu(self.convf1(flow)) |
| 74 | flo = F.relu(self.convf2(flo)) |
| 75 | cor_flo = torch.cat([cor, flo], dim=1) |
| 76 | out = F.relu(self.conv(cor_flo)) |
| 77 | return torch.cat([out, flow], dim=1) |
| 78 | |
| 79 | class BasicMotionEncoder(nn.Module): |
| 80 | def __init__(self, args): |
nothing calls this directly
no outgoing calls
no test coverage detected