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Name: Duaa Mahmoud
Type: User
Location: USA
Name: Duaa Mahmoud
Type: User
Location: USA
A list of references on lidar point cloud processing for autonomous driving
3d lidar point cloud 2d image projection in python.
Code for "Low Rank Forecasting" paper.
Evaluation of refractive index is a non-trivial process for anisotropic and dispersive materials. Broadband and polarization-dependent reflectance and/or transmittance data obtained using a single sample is not adequate to solve this non-linear problem. Experiments need to be conducted on multiple samples either with different thicknesses or different substrates. If one tries to solve this numerical problem via a simple search algorithm with a typical personal computer, it probably takes weeks if not months. The aim of this work is accelerating this refractive index determination process via machine learning. To achieve this, first, a training set is created, which includes broadband optical reflectance from 40 different materials with various thicknesses assuming different excitation angles. Materials were chosen from different groups, i.e. metals, semiconductors, and dielectrics. Then, machine learning is used for two different purposes: classification and regression. With classification, the material type is determined so that an appropriate refractive index model can be incorporated, i.e. Lorentz-Drude model for metals, purely real refractive index for lossless dielectrics, and complex but smoothly changing index for the rest. Depending on the material type, either univariate or multivariate linear regression is used to determine the refractive index assuming the material is isotropic. An order of magnitude difference is observed between a typical search algorithm (i.e. fminsearch in Matlab) and developed method. Accuracy of the numerical results promises that machine learning techniques can indeed accelerate various techniques used in electromagnetics, optics, and geophysics.
Machine learning applied to fiber-optic sensors
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
MFNet-pytorch, image semantic segmentation using RGB-Thermal images
Machine Learning Techniques for Modulation Format Recognition
Basic MMF simulator
Benchmark dataset for tree detection for airborne RGB, Hyperspectral and LIDAR imagery
NSD: Neural Scene Decomposition for Human Motion Capture, CVPR 2019
Refractive index collections for Octave & MATLAB thin film toolbox
The devkit of the nuScenes dataset.
This repo detect objects automatically for LiDAR data
Python library with optical material properties.
Instructions and code used for the Hands-on Introduction to Data Analytics and Machine Learning in Optical Networks to be presented at the OSA Advanced Photonics Congress
Notebooks for the Photonics 2 Lectures
Progressive LiDAR Adaptation for Road Detection
Implementation of PoseNet using pytorch
Python sample codes for robotics algorithms.
Semantic segmentation models, datasets and losses implemented in PyTorch.
Refractive index of air, and vacuum-air wave length conversion.
Complex refractive indices of ice, water, soot, or dust as a function of wavelength
My works related to refractiveindex.info database. Database with python scripts allowing
Database of optical constants
Python scripts for refractiveindex.info database
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.