Questo post arriva un po’ in ritardo, ma meglio tardi che mai! Dopo un duro lavoro è stata rilasciata la versione 1.0 della Point Cloud Library, una libreria open source per l’elaborazione di nuvole di punti 3d. Allo sviluppo di questa libreria partecipano varie istituzioni, tra cui anche il MIT. Segue un estratto dell’annuncio relativo al rilascio.

PCL is a large-scale, cross-platform, open project for point cloud processing that is free for commercial and research use. The PCL framework comprises state-of-the-art algorithms that have endless uses, such as filtering outliers from noisy data, stitching 3D point clouds together, segmenting relevant parts of a scene, extracting keypoints and creating surfaces from point clouds. With the 1.0 release, PCL is now a completely standalone library, using a few “system” dependencies (Boost, Qhull, VTK) with some extra third-party libraries (FLANN, Eigen, CMinpack, OpenNI). The release features a number of changes and updates to help you do more — and help you do it more easily. A few highlights:

• Full Linux, Windows and Mac OSX support. If you can connect an OpenNI camera to it, PCL can run on it
• Complete OpenNI interface for PSDK, Asus WAVI XTion and Kinect. Just hook up your camera and start hacking in 3D
• Complete Octree interface for point cloud compression, nearest neighbor search, change detection and more
• Lots of tutorials and demos – with more on the way

Annuncio ufficiale rilascio PCL 1.0

UliPad Homepage

KB979576 – Hotfix Download Link

In questo bellissimo articolo (in inglese) c’è un’interessante ed originale punto di vista sull’utilità dei fallimenti. Assolutamente da leggere… e da ricordare per la prossima volta che vi renderete conto di aver fatto una sciocchezza sul design del vostro software!

Tim Schafer Carreer History

Guida per configurare la sincronizzazione con Google Calendar

MITO: ICAR Project Page

MITO:  Sourceforge Project page

Updated: Thanks to Lukather from roundcubeforum.net a bug which wiped out email passwords has been fixed

Step 1. Modifying program\steps\settings\save_prefs.inc
Aproximately near line 28, there is a block where an array is declared. It starts with “$a_user_prefs = array(“. Just add the following line under the “‘prefer_html’ => isset($_POST['_prefer_html']) ? TRUE : FALSE,” line

// Password MOD
'password'  => isset($_POST['_password']) ? TRUE : FALSE,
// End Password MOD

Now after the “foreach ((array)$CONFIG['dont_override'] as $p)” near line 39, add the block which handles password saving to DB

// Password MOD
if (isset($_POST['_password']) && !empty($_POST['_password']))
{
$tmpEncPass = YourEncryptionFunctionHERE($_POST['_password'], "");

mysql_query("UPDATE CCC.TableWithPasswordHERE SET password = '".$tmpEncPass."' WHERE username = '".$_SESSION['username']."'")
or die(mysql_error());

$_SESSION['password'] = encrypt_passwd($_POST['_password']);
}
// End Password MOD

In case your database holds encrypted user passwords, put the name of the hashing function in place of YourEncryptionFunctionHERE. If you are storing MD5 hashes of the password in your database and the hashing function you use is md5, you would be writing that instead of YourEncryptionFunctionHERE. Don’t forget to change the query in mysql_query to make it work with your database.

Step 2. Modifying program\steps\settings\func.inc
Near line 161, look for “if ($table->size())“. Before this line, add the following block:

// Password MOD
$field_id = 'rcmfd_password';
$input_password = new html_inputfield(array('name' => '_password', 'id' => $field_id, 'size' => 20));

$table->add('title', html::label($field_id, /*Q(rcube_label('skin'))*/ 'Password'));
$table->add(null, $input_password->show());
// End Password MOD

Feel free to ask for help by writing a comment!

UMDF Driver Update

Non ringraziate me Ringraziate myCreative Fansite