detnet.py - why are features stacked with extra tiles ?

[zisismp4]

class detnet(nn.Module):
        def forward(self, x):
                features = self.resnet50(x)
        
                device = x.device
                pos_tile = get_pose_tile_torch(features.shape[0]).to(device)
                x = torch.cat([features, pos_tile], dim=1)

could you please explain what is the purpose of this pos_tile and why is needed to concat with features?

[MengHao666]

Hi, it might not be useful for the results. But the offical project contain such process, u might remove it and see what would happen.