Reddit Crawler in Python

Code of a Reddit Crawler written in Python

 

Reddit /ˈrɛdɪt/,[4] stylized as reddit,[5] is an entertainment, social networking service and news website where registered community members can submit content, such as text posts or direct links. Only registered users can then vote submissions “up” or “down” to organize the posts and determine their position on the site’s pages. Content entries are organized by areas of interest called “subreddits”.

Reddit was founded by University of Virginia roommates Steve Huffman and Alexis OhanianCondé Nast Publications acquired the site in October 2006. Reddit became a direct subsidiary of Condé Nast’s parent company, Advance Publications, in September 2011. As of August 2012, Reddit operates as an independent entity, although Advance is still its largest shareholder.[6] Reddit is based in San Francisco, California. In October 2014 Reddit received $50 million in funding from Snoop Lion and other investors.[7]

WIKIPEDIA

 

link to the CrawlerReddit

C++ Ransac Method Implementation

Ransac Method implemented in C++ for robust keypoints estimation in Computer Vision

 

Random sample consensus (RANSAC) is an iterative method to estimate parameters of a mathematical model from a set of observed data which contains outliers. It is a non-deterministic algorithm in the sense that it produces a reasonable result only with a certain probability, with this probability increasing as more iterations are allowed. The algorithm was first published by Fischler and Bolles at SRI International in 1981.

A basic assumption is that the data consists of “inliers”, i.e., data whose distribution can be explained by some set of model parameters, though may be subject to noise, and “outliers” which are data that do not fit the model. The outliers can come, e.g., from extreme values of the noise or from erroneous measurements or incorrect hypotheses about the interpretation of data. RANSAC also assumes that, given a (usually small) set of inliers, there exists a procedure which can estimate the parameters of a model that optimally explains or fits this data.

WIKIPEDIA

 

Here the code (under GitHub-Gist)  RansacMethodCPP

Feature Matching and Planar Homography with Overlay – Android + OpenCv

This a video about a test (for my master thesis) with and Android device and OpenCv libraries. The purpose of this test was to run on a device a Feature Matching and Planar Homography with a final overlay. This was possible using the power offered by OpenCv.

 

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Seminario XML

Standard Documentali XML

Seminario tenuto dall’ ing. Enrico Francesconi (Istituto di Teoria e Tecniche dell’Informazione Giuridica)

Introduzione all’XML

XML è stato progettato per descrivere dati e per focalizzare l’attenzione su di essi.

HTML è stato progettato per mostrare dati e per concentrare l’attenzione sulla loro esposizione.

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Seminario Object Relational

Progettazione e Sviluppo dello strato di Adattamento Object-Relational di un’Applicazione

Seminario tenuto dal dott. ing. Sandrucci

  • Obiettivi
    Realizzare un’applicazione che accede ad una base di dati
    La base di dati conterrà informazioni idrometriche
    Realizzare uno strumento per il Mapping O/R
  • Vincoli
    La nuova applicazione deve essere compatibile con i vecchi dati
    La base di dati vecchia esiste in due versioni
    Database relazionale
    Sistema di Legacy (file ASCII)
  • Parleremo di
    Layering
    Basi di dati relazionali
    Modelli ad oggetti
    Mapping O/R

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VMware Fusion

Useful application for who doesn’t have time to install on own Mac an Operating System with dual boot system.

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TexMaker

 

Cercando un’alternativa a Lyx ( editor per documenti latex ) mi sono imbattuto in Texmaker , ed ho deciso di provarlo.Devo dire che è un editor ben fatto e completo.

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TrasformMovie

Vi è mai capitato di girare un video con la vostra fotocamera e accorgervi solo dopo di averlo fatto con la camera girata ??? a me si…e anche di recente…. il risultato è che il video viene rigirato di novanta gradi e risulta alquanto sgradevole da vedere….

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