(self, x)
| 252 | nn.init.constant_(m.bias.data, 0) |
| 253 | |
| 254 | def forward(self, x): |
| 255 | x = self.feature_extractor(x) |
| 256 | x = F.relu(x) |
| 257 | if self.droprate > 0: |
| 258 | x = F.dropout(x, p=self.droprate) |
| 259 | predict = self.fc_pose(x) |
| 260 | return predict |
| 261 | |
| 262 | |
| 263 | # from MapNet paper CVPR 2018 |
nothing calls this directly
no outgoing calls
no test coverage detected