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GitHub - AndrewColligan CADNet: Code for Graph Representation of 3D CAD . . . Code for Graph Representation of 3D CAD models for Machining Feature Recognition with Deep Learning paper This is an approach using graph neural networks to learning from planar B-Rep CAD models In the paper, focus was given towards the machining feature recognition task
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cadnetservices. com Our suite of IT services covers everything from your office and remote work stations, to your network and security protection Whatever your IT needs, we're here to help! Network Infrastructure Assessment Design CADNET Helpdesk Support - Team of Experts onsite remote Software Hardware Maintenance - Deployment, Updates, License Management
News - CADNET Dataset We introduce the CADNET dataset, which is an annotated collection of 3,317 3D Engineering models over 43 categories Owing to the availability of large annotated datasets and also enough computational power in the form of GPUs, many deep learning-based solutions for object classification have been proposed of late, especially in the domain of
Papers with Code - CADNET Dataset We introduce the CADNET dataset, which is an annotated collection of 3,317 3D Engineering models over 43 categories
GitHub - Hub-Tian CADNet: Context-Aware Dynamic Feature Extraction for . . . CADet is an one-stage 3D object detector proposed to handle the density variance in point cloud We integrate our method into the awesome codebase PCDet For more details of our work, please refer our paper https: arxiv org abs 1912 04775v3 The installation is following the steps in pcdet All the codes are tested in the following environment:
Carlson-CADnet - Carlson Survey Supply Carlson CADnet allows users to create CAD from non-CAD documents such as PDFs, raster images, vector images, and paper plans CAD text can also be generated from raster images with CADnet’s built-in Optical Character Recognition (OCR)