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this python(2.7.1) program is attended to get the magnet URIs from DHT network.also it need MySQL to maintain the magnet URIs. HOW TO RUN THE PROGRAM 0.working on window7 1.install python 2.7.1 2.install mysql (set the charset to utf-8) 3.install the connector betweent python and mysql "the connector can download from www.python.org" 4.run the "mysql.py" to create database(set the "passwd" ,"user"and "port" by your own condition) 5.run the "wooooooodworm.py" to get magnet URI from network (set the "threadNumb" and "workingTime" by yourself) 6.run the "downloadTorrent.py" to get the torrnet file from the "zoink.it"(set the "passwd" ,"user"and "port" on your own condition) 7.check the "./torrents" file, it contains the torrents that you get from network. 8.check the database table "hash_info",it maintain the magnet info that you get from network Hey guys, we may find it's difficult to run all these steps. now, i had made a new DHT node in python and put it in https://github.com/NanYoMy/DHT-simDHT you only need to install python 2.7.X and bencode to run this program!
DHT-simDHT
in this git, i add some new feature to the "https://github.com/laomayi/simDHT"cmmas
the cross-modality MAS methodMMs-2
mybatis-generator
mybatis generatorMSER-GMM
these codes are for the paper in IEEE international conference on signal processing-"CENTROID ESTIMATION BASED ON MSER DETECTION AND GAUSSIAN MIXTURE MODEL ". email me if you had any issues"[email protected]"GetInfo
this git contains the code for get the information of a HASH magnet linkerbilateral-filter
Automatically exported from code.google.com/p/bilateral-filtermmregnet
the source of mmregnetNanYoMy.github.io
github blogImageAbstraction
Final project for CSC 205 2D Graphics and Image ProcessingPICO-VS2010
this project is a face detect implemented by C++. it's the fastest face detect algorithm i had even seen.human_action_recognition
the action recognition method based on few shot learningpymdht
A flexible implementation of the Mainline DHT protocol.MSER
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