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sift-gpu-iphone icon sift-gpu-iphone

An iOS app featuring SIFT descriptors extraction with OpenGL ES 2.0

simple-web-server icon simple-web-server

A very simple, fast, multithreaded, platform independent HTTP and HTTPS server and client library implemented using C++11 and Boost.Asio. Created to be an easy way to make REST resources available from C++ applications.

solve_keyframe_pose_graph icon solve_keyframe_pose_graph

A multi-threaded node to solve 6DOF posegraph slam. Needs poses at each node (subscribes to) and relative positions at edges. Maintains an optimized pose graph. Has support for recovery from kidnap

sparse-to-dense icon sparse-to-dense

Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image

spherical_regression icon spherical_regression

PyTorch implementation of cvpr2019 paper "Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres".

sptam icon sptam

S-PTAM: Stereo Parallel Tracking and Mapping

squeezenet icon squeezenet

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters

sse2neon icon sse2neon

Automatically exported from code.google.com/p/sse2neon

stereo-rcnn icon stereo-rcnn

Code for 'Stereo R-CNN based 3D Object Detection for Autonomous Driving' (CVPR 2019)

styleguide icon styleguide

Style guides for Google-originated open-source projects

superglue icon superglue

This repo includes PyTorch code for training the SuperGlue matching network on top of SIFT keypoints and descriptors.

superpoint icon superpoint

Efficient neural feature detector and descriptor

superpoint-vo icon superpoint-vo

monoVO-python(https://github.com/uoip/monoVO-python) + SuperPointPretrainedNetwork(https://github.com/MagicLeapResearch/SuperPointPretrainedNetwork)

superpointpretrainednetwork icon superpointpretrainednetwork

PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)

surfacenet icon surfacenet

M. Ji, J. Gall, H. Zheng, Y. Liu, and L. Fang. SurfaceNet: An End-to-end 3D Neural Network for Multiview Stereopsis. ICCV, 2017

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