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Jason's Projects

3d-head icon 3d-head

3D-CNN and Head posture recognition

adldap icon adldap

adLDAP is a PHP class that provides LDAP authentication and integration with Active Directory.

airv icon airv

AIRV(AI+RiscV, The most cost-effective K210 development board)

apai-io icon apai-io

Amazon Product Adverstising Library based on PHP REST and SOAP using the Product Advertising API. Watch the Demo here: http://apaiio.dev.pixel-web.org/

apitester icon apitester

Apitester is an Apache HttpClient wrapper to make the most common tasks for testing a REST API more convenient. You can do HTTP Request (GET, POST PUT or DELETE) and handle cookies and response object (headers, payload) in an easy way.

bedrock icon bedrock

WordPress boilerplate with modern development tools, easier configuration, and an improved folder structure

cachesim icon cachesim

World's jankiest cache simulator. In PHP, to emphasize general jank.

curl icon curl

A basic CURL wrapper for PHP

czd_yaf_extension icon czd_yaf_extension

建立在 [Yaf](https://github.com/laruence/php-yaf) 的基础上,集成了Smarty引擎,加入了封装好的各种功能类,具体信息请看README.md

dshell icon dshell

Dshell is a network forensic analysis framework.

ekho icon ekho

Chinese text-to-speech engine

emailvalidator icon emailvalidator

PHP Email validator library inspired in @dominicsayers isemail function https://github.com/dominicsayers/isemail

eyelike icon eyelike

A webcam based pupil tracking implementation.

fix-posture icon fix-posture

Fix-posture blurs your screen when you are not sitting with correct posture.

flite icon flite

A small fast portable speech synthesis system

gambit icon gambit

This project presents a fast and efficient technique for recognition of continuous hand gestures with a stationary background from video stream. The system consists of four modules- A real time hand tracking module, contour extraction module, tracker detection module, and gesture recognition. First of all, real-time hand tracking and extraction algorithm is applied to trace the moving hand and to extract the hand region, and then motion analysis is performed to characterize the temporal features. We then extract the tracker position from the image. This tracker posture is recognized as a hand gesture. Now it is matched with a set of pre-defined gestures to know its meaning. Before matching gesture, preprocessing is performed to remove other part of human body and to select only part of hand showing some useful gesture.

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