Stars
PyTorch implementation of FractalGen https://arxiv.org/abs/2502.17437
Toolbox for quantitative trajectory evaluation of VO/VIO
[CVPR2019]Occlusion-Net: 2D/3D Occluded Keypoint Localization Using Graph Networks
A lightweight version of OrcVIO that uses monocular images, inertial data, as well as bounding box measurements
An extension of gtsam to provide support for optimizing quadric landmarks
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse m…
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation
Code for Deep Surface Normal Estimation with Hierarchical RGB-D Fusion (CVPR2019)
Object detection, 3D detection, and pose estimation using center point detection:
Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes
An elegant PyTorch deep reinforcement learning library.
An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
4D Spatio-Temporal Semantic Segmentation on a 3D video (a sequence of 3D scans)
MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences (ICCV 2019 Oral)
Count the MACs / FLOPs of your PyTorch model.
Pytorch implementation of 'Graph Attention Convolution for Point Cloud Segmentation'
a module for 3D semantic segmentation in point clouds.
Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving
Over 450 terminal color schemes/themes for iTerm/iTerm2. Includes ports to Terminal, Konsole, PuTTY, Xresources, XRDB, Remmina, Termite, XFCE, Tilda, FreeBSD VT, Terminator, Kitty, MobaXterm, LXTer…
A list of papers and datasets about point cloud analysis (processing)
Implementation of SqueezeSegV2, Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud