xhlinxm

rpg_davis_simulator

Simulate a DAVIS camera from synthetic Blender scenes

C3D

C3D is a modified version of BVLC caffe to support 3D ConvNets.

Convolution_LSTM_PyTorch

Multi-layer convolutional LSTM with Pytorch

dslam_open

Public code for "Data-Efficient Decentralized Visual SLAM"

event-based_vision_resources

event_cnn_minimal

Minimal code for loading models trained for ECCV'20

EventGAN

Official repository for the paper: Zhu, Alex Zihao, et al. "EventGAN: Leveraging Large Scale Image Datasets for Event Cameras." arXiv preprint arXiv:1912.01584 (2019).

eventVision-evbench

Dataset for Visual Navigation with Neuromorphic Methods

evimo

A toolkit for dataset generation with event-based cameras

flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

IndRNN_pytorch

Independently Recurrent Neural Networks (IndRNN) implemented in pytorch.

MVision

机器人视觉 无人驾驶 视觉SLAM ORB LSD SVO DSO 深度学习目标检测yolov3 行为检测 opencv PCL 双目视觉

mvsec

Multi Vehicle Stereo Event Camera Dataset

numpy-ml

Machine learning, in numpy

OpticalFlowToolkit

Python-based optical flow toolkit for existing popular dataset

papers

Pointnet2_PyTorch

PyTorch implementation of Pointnet2/Pointnet++

Pointnet_Pointnet2_pytorch

PointNet and PointNet++ implemented by pytorch (no tf_opt) and test on ModelNet, ShapeNet and S3DIS.

Python

All Algorithms implemented in Python

rpg_dvs_ros

ROS packages for DVS

rpg_e2vid

Code for the paper "High Speed and High Dynamic Range Video with an Event Camera" (T-PAMI, 2019).

rpg_emvs

Open implementation of EMVS: Event-based Multi-View Stereo (IJCV'18)

rpg_esim

ESIM: an Open Event Camera Simulator

simpleDVS_simulator

Simple simulator to create DVS data from motion groundtruth and images

slambench2

SLAM performance evaluation framework

slambook

Statistics-SAR-Intensity

A book about operational statistics for intensity (?) SAR data

STGCN

implementation of STGCN for traffic prediction in IJCAI2018

TCN

Sequence modeling benchmarks and temporal convolutional networks

VINet

VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem