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
W. Hung, Y. Tsai, Y. Liou, Y. Lin, and M. Yang. (2018)cite arxiv:1802.07934Comment: Accepted in BMVC 2018. Code and models available at https://github.com/hfslyc/AdvSemiSeg.
P. Wu, R. Wang, K. Kin, C. Twigg, S. Han, M. Yang, and S. Chien. Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology, page 365--374. New York, NY, USA, ACM, (2017)
A. Ulusoy, A. Geiger, and M. Black. Proceedings of the 2015 International Conference on 3D Vision, page 10--18. Washington, DC, USA, IEEE Computer Society, (2015)