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RocNet RocNet Supply is your end to end network solutions experts, providing green market hardware, new technologies, and professional services
Provider of Network Equipment Professional Services - RocNet In 2014, Mike Baker and Peter Wells launched RocNet from a dining room table, with a couple of cell phones and laptops The mission was simple: leverage their industry knowledge and experience to build cost-effective networks for small broadband operators around the US
Our Facilities - RocNet RocNet has salespeople and engineers throughout North and South America, with two main facilities in NY and NV, plus Sales Offices around the US (including Hawaii), and in Canada and Argentina
Solutions For Every Stage of Your Network Evolution - RocNet Our purpose is to guide our customers in optimizing their entire technology journey, from idea inception to end-of-life Contact RocNet Supply to see how we can help with all your fiber, broadband, networking, e-recycling and asset management needs
Next Gen Technologies - RocNet RocNet partners with the best, most disruptive tech vendors in the industry to offer next-gen technologies, while supporting legacy networks
RoCNet++: Triangle-based descriptor for accurate and robust point cloud . . . Local triangles encoding enhances registration accuracy and robustness This paper introduces RoCNet++, a point cloud registration method with two main contributions, one concerning the design of a robust descriptor and another concerning the estimation of the rigid transformation
RocNet Professional Services RocNet provides broadband engineering services and end-to-end offerings to our customers to optimize their networks and total cost of ownership
GitHub - ljc91122 RocNet: pytorch implementation of RocNet This code implements an autoencoder using RocNet, which encodes and reconstructs 3D voxels represented by octrees The matlab codes for generating training data from 3D voxels are in MATLAB folder The generated data should be put in the "data" folder The code is written under python 3 5 + pytorch 0 2 0