gnanet

Gergely Nagy's repositories

mailzu

MailZu-ng compatible PHP 7.2+, PHP-PDO | Based on zedzedtop/mailzu and SF.net/projects/mailzu/ | MailZu is a simple and intuitive web interface to manage Amavisd-new quarantine. Users can view their own quarantine, release/delete messages or request the release of messages. This fork of MailZu is written in PHP and requires Amavisd-new version greater than 2.7.0

Language:PHPGPL-2.014 10 15

myphpliveregex

MyPHPLiveRegex - opensource clone of phpliveregex.com online version

Language:PHP4 30

minidlna-browser-php

PHP app to browse the contents of a minidlna database

Language:HTML1 10

openrsd

Open Raspberry Pi Server Dashboard

Language:PHPApache-2.01 20

envylogger

envylogger - smarter logging for apache

Language:PerlNOASSERTION010

amacube

Roundcube plugin to let users control their amavis settings as well as manage quarantined emails

Language:PHPGPL-3.0020

gaupol

Editor for text-based subtitle files

GPL-3.0000

infinite-fake-website

Lure SEO spammers down a hole with no bottom

Language:PHPMIT020

jwplayer

JW Player is the world's most popular embeddable media player.

Language:JavaScriptNOASSERTION010

leantime

Leantime is a goals focused project management system for non-project managers. Building with ADHD, Autism, and dyslexia in mind.

Language:PHPAGPL-3.0000

minidlna-browser

A basic Flask app to browse the contents of a minidlna database

Language:HTML020

minify

Minifier of js, css, html and img

Language:JavaScriptMIT010

openrsd-plugins

Plugin Repository for OpenRSD, my attempts to create proof-of-concept plugins

Language:PHPNOASSERTION030

PeopleCounter

In present days, people detection, tracking and counting is an important aspect in the video investigation and subjection demand in Computer Vision Systems. Providing (real time) traffic information will help improve and reduce pedestrian and vehicle traffic, especially when the data collected is learned and analyzed over a period of time, which makes its highly essential to identify people, vehicles and objects in general and also accurately counting the number of people and/or vehicles entering and leaving a particular location in real time. To perform people counting, a robust and efficient system is needed. This research is aimed at making a pedestrian traffic reporting system for certain areas and buildings around the campus to potentially help ease traffic circulation. Providing this information will be done through a developed application, which includes image processing with Open Computer Vision (OpenCV). This will show the amount of traffic in certain buildings or area over a period of time. OpenCV is a cross-platform library which can be used to develop real-time Computer Vision applications [Opencv, 2015b]. It is mainly focused on image processing, video capture and analysis including features like people and object detection. The operations performed were based on the performance and accuracy of the tracking algorithms when implemented in embedded devices such as the Raspberry Pi and the Tinker Board. The Pi Camera was used for real time vision and hosted on the embedded device. The proposed method used was conjoined with an open-source visual tracking implementation from the contribution branch of the OpenCV library and a unique technique for people detection along with different Filtering Algorithms for tracking this. The programming language of choice to implement these features (Tracking and Detection) is python and its libraries. The present work describes a standalone people counting application designed using Python OpenCV and tested on embedded devices ranging from the Raspberry Pi3 to a Tinker Board and a compatible Camera. All these were used in prototyping the design of this application. The results reported and showed that the Person-Counter system developed counted the number of people entering the designated area (down), and the number of people leaving (up).

Language:Python010