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Estimating depth from motion using a monocular camera - disparity map & sparse (feature) point cloud
A real-time depth filling approach based on prior image segmentation
Small helpful programs for evaluating disparity algorithms.
Disparity and depth maps GUI with QT and OpenCV with support for classic image files and MPO stereo pairs
http://www.cvlibs.net/projects/displets/
Distance Estimation using Monocular Camera system
The code and data of DiverseDepth
This repo provides a collision avoidance approach for the DJI-Tello using PyDNet.
Ellipse and Line Segment Detector, with Continuous validation
ICRA 2019 "FastDepth: Fast Monocular Depth Estimation on Embedded Systems"
[work in progress] A C++ implementation of "Fast Depth Densification for Occlusion-Aware Augmented Reality"
20x Real-time superpixel SLIC Implementation with CPU
A naïve implementation of the Fast Bilateral-Space Stereo method from the Fast Bilateral-Space Stereo for Synthetic Defocus paper by Jon Barron.
This is the implementation in C++ of the paper: 'A fast and effective ellipse detector for embedded vision applications'
Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)
This repo contains the code of FGI (ECCV 2016) for Fast Guided Depth Upsampling or Optical Flow Refinement
augmented reality boilerplate app for iOS (powered by OpenCV and DLIB)
An Evaluation of Feature Matchers for Fundamental Matrix Estimation (BMVC 2019)
Estimates the fundamental matrix using normalized 8-point algorithm. Also provides means of triangulation.
GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence (CVPR 17 & IJCV 20)
The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath and Jiri Matas; Graph-Cut RANSAC, Conference on Computer Vision and Pattern Recognition, 2018. It is available at http://openaccess.thecvf.com/content_cvpr_2018/papers/Barath_Graph-Cut_RANSAC_CVPR_2018_paper.pdf
a language for fast, portable data-parallel computation
a hardware-friendly bilateral solver
A high-quality ellipse detector based on arc-support line segments which can both accurately and efficiently detect ellipses in images.
A collection of image smoothing algorithms.
iOS implementation of LK and dense optical flow
Implementation of the Instance Stixel pipeline. Paper:
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.