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zhouxiaolong's Projects

imgaug icon imgaug

Image augmentation for machine learning experiments.

incremental-svm-learning-in-matlab icon incremental-svm-learning-in-matlab

This MATLAB package implements the methods for exact incremental/decremental SVM learning, regularization parameter perturbation and kernel parameter perturbation presented in "SVM Incremental Learning, Adaptation, and Optimization" by Christopher Diehl and Gert Cauwenberghs.

inline-speed-manager icon inline-speed-manager

Low budget speed detector made by a laser, a microcontroller, 2 mirrors, hc-05 bluetooth module and an android app.

kidtracker icon kidtracker

Sistema básico para rastrear niños mediante bluetooth y un dispositivo HC-05; sólo disponible en Android.

labelimg icon labelimg

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

lazyjava4 icon lazyjava4

Java企业级快速开发平台 前后端分离基于nodejs+vue2+webpack+springboot

matlab_sensor_fusion icon matlab_sensor_fusion

Attempt of designing a sensor/data fusion algorithm for attitude- and heading estimates for the UiS Subsea 2016 ROV.

monitor icon monitor

自己开发的监控系统,功能强大,灵活配置

multiple-multiband-image-fusion icon multiple-multiband-image-fusion

Data and MATLAB code for the simulations of [R. Arablouei and F. de Hoog, “Fusing multiple multiband images,” submitted to IEEE Transactions on Image Processing, 2017.]

my-git icon my-git

Individual collecting material of learning git(有关 git 的学习资料)

newfusion icon newfusion

Data Processing Tool for The Fusion Project

nudtpaper icon nudtpaper

A LaTeX template for Master/PhD Thesis of NUDT

omniglot icon omniglot

Omniglot data set for one-shot learning

openradar icon openradar

An open source library for interacting with and processing radar data, specialized for MIMO mmWave radars

past-reid icon past-reid

Self-Training with Progressive Augmentation for Unsupervised Cross-Domain Person Re-identification

radar icon radar

雷达学习的记录及相关代码

real-time-ml-project icon real-time-ml-project

A curated list of applied machine learning and data science notebooks and libraries across different industries.

sensorfusion icon sensorfusion

This project performs sensor fusion to track a mobile device's orientation. The data utilised are from three sensors: a) Accelerometer, b) Magnetic Field, d) Gyroscope. The sensor fusion is executed off-line. This project basically ports code developed by Paul Lawitzki from Android to Matlab/Octave. The Matlab/Octave code imports a CSV file with a given structure. Then, a strapdown integration system is developed by computing the orientation from two different components: a) Accelerometer - Magnetic Field and b) Gravity tracking through Gyroscope. Finally, the orientations from the two components are fused.

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