Empace Wang's repositories
MVOScaleRecovery
Recover the scale of monocular visual odometry
EvaluateVisualOdometryKITTI
It is a visual odometry evaluate code in python for KITTI dataset
NighttimeVehicleDetection
Night time vehicle detection using tail light pair
VODriftCorrection
Visual odometry drift correction based on drivable region
ImageTools
Crop several images to ger same height-width-ratio
MVOScalePrediction
Monocular visual odometry absolute scale prediction within specific environment
ASLFeat
Implementation of CVPR'20 paper - ASLFeat: Learning Local Features of Accurate Shape and Localization
awesome-nn-slam
SLAM algorithms and systems based on Neural Networks.
consistent_depth
We estimate dense, flicker-free, geometrically consistent depth from monocular video, for example hand-held cell phone video.
ConvLSTM_pytorch
Implementation of Convolutional LSTM in PyTorch.
CSWin-Transformer
CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped
detectron2
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
diffusion
Efficient Diffusion for Image Retrieval
dvo_adda
Deep VO with domain adaption
LineTR
Line as a Visual Sentence: Context-aware Line Descriptor for Visual Localization
monodepth2
Monocular depth estimation from a single image
openMVG
open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.
Paddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
PGL
Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle
PythonRobotics
Python sample codes for robotics algorithms.
pytorch-ssim
pytorch structural similarity (SSIM) loss
pyviso
python wrap of libviso with pybind 11
RandomTrain
Train end2end VO with random generated data
SOLD2
Joint deep network for feature line detection and description
SuperGluePretrainedNetwork
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
tfmatch
TensorFlow implementation of GeoDesc (ECCV'18), ContextDesc (CVPR'19) and ASLFeat (CVPR'20)