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SuperGlue -- A C++ Library for Data-Dependency Driven Task Parallelism - GitHub - snima/superglue: SuperGlue -- A C++ Library for Data-Dependency Driven Task Parallelism
Magic Leap is proud to provide its latest samples, toolkits, and research projects on Github to foster development and gather feedback from the spatial computing community. Use of the resources within this repo is subject to (a) the license(s) included herein, or (b) if no license is incl...
Head to the ScanNet github repo to download the ScanNet test set (100 scenes). You will need to extract the raw sensor data from the 100 .sens files in each scene in the test set using the SensReader tool. Once the ScanNet dataset is downloaded in ~/data/scannet, you can run the fo...
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Magic Leap is proud to provide its latest samples, toolkits, and research projects on Github to foster development and gather feedback from the spatial computing community. Use of the resources within this repo is subject to (a) the license(s) included herein, or (b) if no license is incl...
A PyTorch implementation of SuperGlue. Contribute to borsukvasyl/SuperGlue development by creating an account on GitHub.
Magic Leap is proud to provide its latest samples, toolkits, and research projects on Github to foster development and gather feedback from the spatial computing community. Use of the resources within this repo is subject to (a) the license(s) included herein, or (b) if no license is incl...
Magic Leap is proud to provide its latest samples, toolkits, and research projects on Github to foster development and gather feedback from the spatial computing community. Use of the resources within this repo is subject to (a) the license(s) included herein, or (b) if no license is incl...
SuperPoint and SuperGlue code and weights are available at https://github.com/magicleap/SuperGluePretrainedNetwork The original paper of SuperPoint : https://arxiv.org/abs/1712.07629 The original paper of SuperGlue : https://arxiv.org/abs/1911.11763s...