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sparse_bundle_adjustment

Sparse Bundle Adjustment Library (used by slam_karto)

spectra

A header-only C++ library for large scale eigenvalue problems

sphericalgaussianoptimization

srf_laser_odometry

Robust Planar Odometry Based on Symmetric Range Flow and Multi-Scan Alignment

ssvm

SSVM is a high performance, extensible, and hardware optimized WebAssembly Virtual Machine for cloud, AI, and blockchain applications.

stable-camera

standard-readme

A standard style for README files

stba

Stochastic Bundle Adjustment for Efficient and Scalable Structure from Motion (ECCV 2020)

stereo-from-mono

[ECCV 2020] Learning stereo from single images using monocular depth estimation networks

stereo-transformer

Official Repo for Stereo Transformer: Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers.

stereo_sparse_depth_fusion

ICRA 2019 | Repository for "Real Time Dense Depth Estimation by Fusing Stereo with Sparse Depth Measurements" | OpenCV, C++

structure-slam-pl-

This is a point-line SLAM method based on ORBSLAM2.

supergluepretrainednetwork

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

svo_edgelet

A more robust SVO with edgelet feature

taso

The Tensor Algebra SuperOptimizer for Deep Learning

tdengine

An open-source big data platform designed and optimized for the Internet of Things (IoT).

tensorflow

Computation using data flow graphs for scalable machine learning

tinyply

:earth_africa: C++11 ply 3d mesh format importer & exporter

tnn

TNN：由腾讯优图实验室打造，移动端高性能、轻量级推断框架，同时拥有跨平台、高性能、模型压缩、代码裁剪等众多突出优势。TNN框架在原有Rapidnet、ncnn框架的基础上进一步加强了移动端设备的支持以及性能优化，同时也借鉴了业界主流开源框架高性能和良好拓展性的优点。目前TNN已经在手Q、微视、P图等应用中落地，欢迎大家参与协同共建，促进TNN推断框架进一步完善。

torch-points3d

Pytorch framework for doing deep learning on point clouds.

traj_gennav

trajectron-plus-plus

Code accompanying "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).

uav_depth_completion

ukf_trajectory_predictor

This package consists of a Unscented Kalman Filter implementation based on a car model in order to estimate the future trajectory of an Aerial Robot based on its received 3D pose

ukfm

Unscented Kalman Filtering on (Parallelizable) Manifolds (UKF-M)

ultra-fast-lane-detection

Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

underwater-localization

UKF based localization using IMU, DVL and depth sensor for underwater robot

unrolling

Learning Rolling Shutter Correction from Real Data without Camera Motion Assumption

unscentedkalmanfilter

Unscented implementation

unsup3d

(CVPR'20 Oral) Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild