Implementing YOLO from scratch detailing how to create the network architecture from a config file, load the weights and designing input/output pipelines.
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
Announcing the SUMO challenge - a contest to encourage the development of algorithms for complete understanding of 3D indoor scenes from 360° RGB-D panoramas with the goal of enabling social AR and VR research and experiences.
- Although given problem reported on Ubuntu 17.04, encountered same issue on Ubuntu 18.04, on installing opencv3 using:
conda install --channel https://conda.anaconda.org/menpo opencv3
- given advice fixed the problem ! i.e. to use pip instead of conda