Gibson’s underlying database of spaces includes 572 full buildings composed of 1447 floors covering a total area of 211k m2s. The database is collected from real indoor spaces using 3D scanning and reconstruction. For each space, we provide: the 3D reconstruction, RGB images, depth, surface normal, and for a fraction of the spaces, semantic object annotations. In this page you can see various visualizations for each space, including 3D dissections, exploration using a randomly controlled husky agent, and standard point-to-point navigation episodes
"I'm not sure if this is the intended behavior or not. nn.Module does not look for parameters inside lists.... "
- points to discuss.pytorch.org page, providing alternative, torch.nn.ModuleList/ParameterList for such cases
Lots of tech projects these days, especially crypto-networks, aspire to decentralization. Or their evangelists say they do, because they feel they need to. Decentralization is the new disruption—the…
This year was huge for me in the field of machine learning and computer vision in particular. A bit more than a year ago I would never believe that I would spend a week abroad not…