| 8 | |
| 9 | |
| 10 | class EPE(nn.Module): |
| 11 | def __init__(self): |
| 12 | super(EPE, self).__init__() |
| 13 | |
| 14 | def forward(self, flow, gt, loss_mask): |
| 15 | loss_map = (flow - gt.detach()) ** 2 |
| 16 | loss_map = (loss_map.sum(1, True) + 1e-6) ** 0.5 |
| 17 | return (loss_map * loss_mask) |
| 18 | |
| 19 | |
| 20 | class Ternary(nn.Module): |