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A 3D Viewer for CTs of Polychromed Wood Sculptures
Qt + VTK实现CT三维重建
Official python implementation for "A Baseline for 3D Multi-Object Tracking"
Efficient monocular visual odometry for ground vehicles on ARM processors
Caffe: a fast open framework for deep learning.
A cross-platform point cloud visualization software powered by PCL and Qt.
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: A Trainable CNN for Joint Description and Detection of Local Features
(最先进的缺陷检测网络) A Tensorflow implementation of "Segmentation-Based Deep-Learning Approach for Surface-Defect Detection"
DEL: Deep Embedding Learning for Efficient Image Segmentation
DeMoN: Depth and Motion Network
[ICLR19] DPSNet: End-to-end Deep Plane Sweep Stereo
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.
Line Segment Extraction Algorithm( less than 2ms in 1280*720 gray image )
fast library for ANN search and KNN graph construction
Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch
Python package for the evaluation of odometry and SLAM
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.
code for Holistically-Nested Edge Detection
HFS: Hierarchical Feature Selection for Efficient Image Segmentation
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.
Code release for the ECCV 2016 paper
Unsupervised single image depth prediction with CNNs
Unofficial implementation of Unsupervised Monocular Depth Estimation neural network MonoDepth in PyTorch
This repository provides PyTorch implementation for 3DV 2018 paper "MVDepthNet: real-time multiview depth estimation neural network"
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
Recover the scale of monocular visual odometry
Simple library to make working with STL files (and 3D objects in general) fast and easy.
Open Source Computer Vision Library
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.