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Self-Supervised Monocular Scene Flow Estimation (CVPR 2020)
Pytorch version of SfmLearner from Tinghui Zhou et al.
Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. Ranked 1st place on KITTI. (MVA 2019 Conference)
ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (PyTorch Implementation)
:camera: :camera: Stereo camera calibration using OpenCV and C++
Library and utilities for 3d reconstruction from stereo cameras.
All in one solution for stereo vision with algorithms such as ADCensus, SGBM, BM.
Structure-Guided Ranking Loss for Single Image Depth Prediction
Android数独
Model analyzer in PyTorch
Understanding Convolution for Semantic Segmentation
w-net: a convolutional neural network architecture for the self-supervised learning of depthmap from pairs of stereo images.
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.