(self, Input)
| 202 | self.fc_pose = nn.Linear(1536, feat_dim) # 1280 for efficientnet-b0, 1536 for efficientnet-b3 |
| 203 | |
| 204 | def forward(self, Input): |
| 205 | x = self.feature_extractor(Input) |
| 206 | x = self.avgpool(x) |
| 207 | x = x.reshape(x.size(0), -1) |
| 208 | predict = self.fc_pose(x) |
| 209 | return predict |
| 210 | |
| 211 | # PoseNet (SE(3)) w/ mobilev2 backbone |
| 212 | class PoseNetV2(nn.Module): |
nothing calls this directly
no outgoing calls
no test coverage detected