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3dcurator

A 3D Viewer for CTs of Polychromed Wood Sculptures

3dvolume

Qt + VTK实现CT三维重建

ab3dmot

Official python implementation for "A Baseline for 3D Multi-Object Tracking"

arm-vo

Efficient monocular visual odometry for ground vehicles on ARM processors

caffe

Caffe: a fast open framework for deep learning.

cloudviewer

A cross-platform point cloud visualization software powered by PCL and Qt.

coslam

CoSLAM is a visual SLAM software that aims to use multiple freely moving cameras to simultaneously compute their egomotion and the 3D map of the surrounding scenes in a highly dynamic environment.

d2-net

D2-Net: A Trainable CNN for Joint Description and Detection of Local Features

deep-learning-approach-for-surface-defect-detection

（最先进的缺陷检测网络） A Tensorflow implementation of "Segmentation-Based Deep-Learning Approach for Surface-Defect Detection"

del

DEL: Deep Embedding Learning for Efficient Image Segmentation

demon

DeMoN: Depth and Motion Network

dpsnet

[ICLR19] DPSNet: End-to-end Deep Plane Sweep Stereo

dynslam

Master's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars.

edline

Line Segment Extraction Algorithm( less than 2ms in 1280*720 gray image )

efanna

fast library for ANN search and KNN graph construction

efficientdet.pytorch

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

evo

Python package for the evaluation of odometry and SLAM

gslam

A General Simultaneous Localization and Mapping Framework which supports feature based or direct method and different sensors including monocular camera, RGB-D sensors or any other input types can be handled.

hed

code for Holistically-Nested Edge Detection

hed-1

hfs

HFS: Hierarchical Feature Selection for Efficient Image Segmentation

k3d-jupyter

K3D lets you create 3D plots backed by WebGL with high-level API (surfaces, isosurfaces, voxels, mesh, cloud points, vtk objects, volume renderer, colormaps, etc). The primary aim of K3D-jupyter is to be easy for use as stand alone package like matplotlib, but also to allow interoperation with existing libraries as VTK.

lift

Code release for the ECCV 2016 paper

monodepth

Unsupervised single image depth prediction with CNNs

monodepth-pytorch

Unofficial implementation of Unsupervised Monocular Depth Estimation neural network MonoDepth in PyTorch

mvdepthnet

This repository provides PyTorch implementation for 3DV 2018 paper "MVDepthNet: real-time multiview depth estimation neural network"

mvision

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

mvoscalerecovery

Recover the scale of monocular visual odometry

numpy-stl

Simple library to make working with STL files (and 3D objects in general) fast and easy.

opencv

Open Source Computer Vision Library