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sota-point-cloud

Deep Learning for 3D Point Clouds

spacemacs-rocks

Happy Hacking Emacs & Spacemacs (Simplified Chinese)

spacevim

:two_hearts: A community-driven vim distribution inspired by spacemacs

sparse-depth-completion

Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. 1st place on KITTI.

sparse-to-dense

ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image"

sparse-to-dense.pytorch

PyTorch Implementation of ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image"

sparse2dense

Sparse2Dense: Learning to Densify 3D Features for 3D Object Detection (NeurIPS 2022)

sparse4d

Sparse4D: Multi-view 3D Object Detection with Sparse Spatial-Temporal Fusion

sparse_pooling

SHPL: Fusing Bird's Eye View LIDAR Point Cloud and Front View Camera Image for Deep Object Detection

sparsebev

[ICCV 2023] SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videos

sparseconvnet

Submanifold sparse convolutional networks

sparseconvnet-1

Spatially-sparse convolutional networks. Allows processing of sparse 2, 3 and 4 dimensional data.Build CNNs on the square/cubic/hypercubic or triangular/tetrahedral/hyper-tetrahedral lattices.

spconv

Spatial Sparse Convolution in PyTorch

spencer_people_tracking

Multi-modal ROS-based people detection and tracking framework for mobile robots developed within the context of the EU FP7 project SPENCER.

spf13-vim

The ultimate vim distribution

spf2

Official PyTorch Implementation for "Sequential Forecasting of 100,000 Points", In Submission

sph3d-gcn

Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds

spinningup

An educational resource to help anyone learn deep reinforcement learning.

spline

c++ cubic spline library

splines-lib

Library of cubic spline utilities

sptm

[ICLR 2018] Tensorflow/Keras code for Semi-parametric Topological Memory for Navigation

sputnik

A library of GPU kernels for sparse matrix operations.

squeezedet

A tensorflow implementation for SqueezeDet, a convolutional neural network for object detection.

squeezeseg

Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation

squeezeseg_ros

This is a ros package that implement the SqueezeSeg

squeezesegv2

Implementation of SqueezeSegV2, Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud

squeezesegv3

srdet

A simple, fast, efficient and end-to-end 3D object detector without NMS.

srl-zoo

State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox

srl_global_planner

The SRL_GLOBAL_PLANNER package provides an implementation of the sampling based motion planners (RRT, RGG, RRT*, Theta*-RRT) as global planner plugin for Move-base, a ROS framework