Patrick McGuire

McGuire · at 12/16/2017 11:00:00 PM

Like most websites Alcoholics Anonymous (GB) Ltd. Please Note: This meeting schedule is confidential and must not be used as a mailing list, or for any other purpose outside A. For information about online meetings/online groups: http://aa-intergroup. If you need help to stop drinking now, call ...

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McGuire · at 12/16/2017 11:00:00 PM

High. workings of the exploit, which I recommend you do, it can be found here: Linux Kernel 3. FTP, and Mail server The fourth vulnerability is a local privilege escalation and can be utilized in How fun of privilege escalation Red UsersService Users Windows Anonymous FTP Webshell Privilege ...

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McGuire · at 12/16/2017 11:00:00 PM

Text Me - Free Texting & Calls. When you text or call If you have a premium Phoner number, you can send and receive text to another Phoner user for free. 7. To send an anonymous tip via text message to the South Carolina DNR, text the keyword SCDNR and your tip to 847411. Google Voice.

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McGuire · at 12/16/2017 11:00:00 PM

A. Alcoholics Anonymous is a fellowship of men and women who share their experience, Winnipeg, Manitoba Winnipeg, Manitoba Alcoholics Anonymous (AA) meeting directory. 7-8. Alcoholics Anonymous in Manitoba. OktSOBERfest. Winnipeg, Manitoba, Canada. AA Beyond Belief provides a space ...

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McGuire · at 12/16/2017 10:00:00 PM

Find helpful customer reviews and review ratings for Anonymous Acts (Five Star Enterprises) at Amazon.com. Read honest and unbiased product reviews from our users.

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McGuire · at 12/16/2017 09:00:00 PM

How can I exclude js like this (function() function addEventListener(element,event,handler) if(element.addEventListener) element.addEventListener(event,handler,false). or else if(element.attachEvent) element.attachEvent('on'+event,handler). or jQuery(function($) $(document).ready(function() if(/MSIE ...

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McGuire · at 12/16/2017 08:05:00 PM

1. digitalclockwork. Send and Receive. 6 and all version history for Android. 4 for Android. When someone texts you back, you will get a notification and see the message right in the app. 3 free Communication Android App (com. Download Anonymous Texting APK for PC. 6 uk. anonymoustexting free- ...

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McGuire · at 12/16/2017 03:05:00 PM

You might see a name you don't recognize or "anonymous animals" viewing your document, spreadsheet, or presentation. Anonymous Elephant. a. Can anybody tell me what is the exact problem. Share. remember. Get the free Stranger Things To Do app now from the App Store or Google Play. In other ...

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McGuire · at 12/16/2017 12:25:00 PM

S. onion sites than I do on the clearnet, am I perfectly anonymous . You will never be able to stay anonymous on the internet, Tor is free software for enabling anonymous communication. Read on to find out. When you want to shut down, turn off the computer, unplug it, and then remove the usb.

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McGuire · at 12/16/2017 11:23:00 AM

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McGuire · at 12/16/2017 08:00:00 AM

Working Subscribe Subscribed Unsubscribe 6. Hacked by someone I sent an anonymous message on how did he hack me and where can I go to so they would have your email, right? Craigslist doesn't hide your Pretty much what the title says. Oct 23, 2007 How was he unmasked? CL is virtually ...

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McGuire · at 12/16/2017 08:00:00 AM

A lot of companies are starting to accept BitCoin more and more. Its virtually %100 anonymous. Right now, there are a number of services that offer "anonymous" payments through Mar 29, 2015 ShadowCash (SDC) is a decentralised crypto currency with a focus on privacy and anonymity, one of the ...

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McGuire · at 12/16/2017 07:01:00 AM

Jun 8, 2012 It would be nice to know if there are places for reviews that are anonymous. A little off-topic, but you can learn more about steps you can take to be safe on the Internet by visiting the Google Safety Center. I am a bankruptcy attorney and my clients want to write me reviews but they don't want ...

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McGuire · at 12/16/2017 07:01:00 AM

Our VPN service hides your IP, ensures privacy and unblocks all of your favorite content online. Right after all, there are numerous vendors on the web for this Comparison of popular anonymous surfing services and aolutions. Find necessary info, domain in archive. As long There is a handy address bar ...

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McGuire · at 12/16/2017 06:00:00 AM

The social polling app allows users to create multiple-choice polls for sharing on Snapchat and other platforms. How does it work?Read writing about Snapchat in Affiliates Anonymous. You Can Link Your Sarahah Account On Snapchat. The app has become a favorite of teenagers, who use it to link ...

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McGuire · at 12/16/2017 05:05:00 AM

Under Remote network settings, remove the default IP ranges add specific IP addresses or IP ranges that is required to allow anonymous SMTP relay from. This allows inbound internet email to be Mar 6, 2016 Configuring internal and external relay in Exchange Server 2016. Oct 21, 2015 Internal SMTP ...

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McGuire · at 12/16/2017 05:05:00 AM

Hey guys! This weekend is a big one for 630 CHED Santa's Anonymous as it's their Delivery Weekend! Every year ...

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McGuire · at 12/16/2017 05:05:00 AM

The anonymity of the communication makes it a comfortable place for someone to share a Aug 30, 2017 The texts on this page are likely to have individual authors, but we don't know who they are. com, we know that you are tired of paying text messaging fees. Sending anonymous text from fake no.

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McGuire · at 12/16/2017 04:00:00 AM

Actu Coworking
Toute l'actualité du #coworking en France et ailleurs. #bureau #Workplace #QVT #Immobilier #startup #incubateur
Paris, France

Following: 2078 - Followers: 2908

December 16, 2017 at 04:00AM via Twitter http://twitter.com/Actu_Coworking

McGuire · at 12/16/2017 03:35:00 AM

If you are running Windows 10 on your PC, then there are chances that your computer contains a pre-installed 3rd-party password manager that lets attackers steal all your credentials remotely. Starting from Windows 10 Anniversary Update (Version 1607), Microsoft added a new feature called Content Delivery Manager that silently installs new "suggested apps" without asking for users’ permission

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McGuire · at 12/16/2017 12:11:00 AM

Four Geminids flash through northern skies in this wintry night skyscape. The bright fireball and 3 fainter meteors were captured in a single 10 second exposure, near the peak of December's Geminid meteor shower. Reflecting the fireball's greenish light, a partially frozen Lake Edith in Alberta Canada's Jasper National Park lies in the foreground, with the Canadian Rocky Mountains ranging along the northern horizon. Of course, the glacial lake is cold even in summer. But photographer Jack Fusco reports that he experienced -9 degree C temperatures that night while enjoying one of the most active meteor showers he's ever seen. via NASA http://ift.tt/2CyewHQ

McGuire · at 12/16/2017 12:00:00 AM

Steps to reproduce: 1. Open user attached project 2. Open test.unity scene 3. Play the scene 4. Observe the freeze/crash Expected re...

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McGuire · at 12/15/2017 09:00:00 PM

PORTLAND, OR -- An anonymous tip led to the arrest of a man accused of murdering his father in southeast Portland nearly two weeks ago. Police had asked for the public's help locating 30-year-old Tyler Wayne Nees and a warrant was issued for his arrest. Police said Nees stabbed and killed his ...

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McGuire · at 12/15/2017 08:00:00 PM

Global Subsidiary Assistant Accountant in Accounting and public practice, Assistant accountant with Anonymous. Apply Today.

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McGuire · at 12/15/2017 08:00:00 PM

Accounts Payable Assistant in Accounting and public practice, Accounts payable with Anonymous. Apply Today.

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McGuire · at 12/15/2017 07:35:00 PM

Travis Translator AI
Travis is the pocket-sized Instant #Voice #Translating Device. Go global and speak local. ✈ Get yours on #Indiegogo now⬇️
Rotterdam, The Netherlands
https://t.co/6YmsdZUq6m
Following: 8799 - Followers: 8965

December 15, 2017 at 07:35PM via Twitter http://twitter.com/travisglobal

McGuire · at 12/15/2017 06:00:00 PM

The newsman was fired from NBC News in November after allegations of 'inappropriate sexual behavior' were brought against him.

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McGuire · at 12/15/2017 06:00:00 PM

What are the best aspects of this product? The plateform and interactivity with the translator is great. The translations where good (french->german) The rapidity of the service. What aspects are problematic or could work better? Maybe the price could be lower. But it's important to keep this level of quality, ...

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McGuire · at 12/15/2017 05:05:00 PM

Forensic Accountant in Accounting and public practice, Accountant with Anonymous. Apply Today.

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McGuire · at 12/15/2017 05:05:00 PM

Finance Manager in Accounting and public practice, Finance manager with Anonymous. Apply Today.

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McGuire · at 12/15/2017 05:05:00 PM

Group Accountant in Accounting and public practice, Group accountant with Anonymous. Apply Today.

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McGuire · at 12/15/2017 05:05:00 PM

Cost Accountant in Accounting and public practice, Accountant with Anonymous. Apply Today.

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McGuire · at 12/15/2017 03:00:00 PM

By Maurice Garvey AN ANONYMOUS leaflet distributed in Walkinstown prior to public meetings surrounding the new homeless hub on Balfe Road – led to sca...

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McGuire · at 12/15/2017 03:00:00 PM

Publicly revealing the real owners behind EU companies will help stop anonymous companies acting as the 'getaway cars' for corruption, tax evasion, drug trafficking and arms trading. The European Parliament should be congratulated for pushing for an ambitious deal in the face of opposition from ...

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McGuire · at 12/15/2017 02:38:00 PM

Nice job! By the way, when is back-porting of the fix to the current stable version(s) envisioned? (I doubt most oss OS distributions use the "HEAD of the VLC master branch", nor that most Windows or Mac users use the latest bleeding-edge build, leaving a potentially large window for exploitation if former versions don't get fixed; knowing VLC's popularity, I think that the question should be seriously considered) And is there a standalone patch or workaround that could be used for older versions (besides not opening mp4 videos anymore)? >

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McGuire · at 12/15/2017 02:38:00 PM

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McGuire · at 12/15/2017 02:38:00 PM

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McGuire · at 12/15/2017 02:38:00 PM

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McGuire · at 12/15/2017 02:18:00 PM

SSD Advisory – vBulletin cacheTemplates Unauthenticated Remote Arbitrary File Deletion Full report: http://ift.tt/2nVEhyp Twitter: @SecuriTeam_SSD Weibo: SecuriTeam_SSD Vulnerability Summary The following advisory describes a unauthenticated deserialization vulnerability that leads to arbitrary delete files and, under certain circumstances, code execution found in vBulletin version 5. vBulletin, also known as vB, is “a widespread proprietary Internet forum software package developed by vBulletin Solutions, Inc., based on PHP and MySQL database server. vBulletin powers many of the largest social sites on the web, with over 100,000 sites built on it, including Fortune 500 and Alexa Top 1M companies websites and forums. According to the latest W3Techs1 statistics, vBulletin version 4 holds more than 55% of the vBulletin market share, while version 3 and 5 divide the remaining percentage”. Credit A security researcher from, TRUEL IT ( @truel_it ), has reported this vulnerability to Beyond Security’s SecuriTeam Secure Disclosure program. Vendor response We tried to contact vBulletin since November 21 2017, repeated attempts to establish contact went unanswered. At this time there is no solution or workaround for these vulnerabilities. Vulnerability details Unsafe usage of PHP’s unserialize() on user-supplied input allows an unauthenticated attacker to delete arbitrary files and, under certain circumstances, execute arbitrary code on a vBulletin installation. vB_Library_Template’s cacheTemplates() function, which is an publicly exposed API which allows to fetch information on a set of given templates from the database in order to store them inside a cache variable. File core/vb/api/template.php – function cacheTemplates(): === public function cacheTemplates($templates, $templateidlist, $skip_bbcode_style = false, $force_set = false) { return vB_Library::instance('template')->cacheTemplates($templates, $templateidlist, $skip_bbcode_style, $for === Let’s take a look at $templateidlist – core/vb/library/template.php – function cacheTemplates(): === public function cacheTemplates($templates, $templateidlist, $skip_bbcode_style = false, $force_set = false) { $vboptions = vB::getDatastore() // vB_Library_Style::switchCssStyle() may pass us a templateidlist that's already unserialized. if (!is_array($templateidlist)) { $templateidlist = unserialize($templateidlist); } foreach ($templates AS $template) { if (isset($templateidlist[$template])) { $templateids[] = intval($templateidlist[$template]); } } if (!empty($templateids)) { $temps = vB::getDbAssertor(array('title', 'textonly', 'template_un', 'template')); // cache templates foreach ($temps as $temp) { if (empty(self::$templatecache["$temp[title]"]) OR $force_set) { self::$templatecache["$temp[title]"] = $this; } } } if (!$skip_bbcode_style) { self::$bbcode_style = array( 'code' => &$templateassoc['bbcode_code_styleid'], 'html' => &$templateassoc['bbcode_html_styleid'], 'php' => &$templateassoc['bbcode_php_styleid'], 'quote' => &$templateassoc['bbcode_quote_styleid'] ); } } === $temnplateidlist variable, which can come directly from user-input, is directly supplied to unserialize(), resulting in an arbitrary deserialization primitive.

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McGuire · at 12/15/2017 02:03:00 PM

SSD Advisory – vBulletin routestring Unauthenticated Remote Code Execution Full report: http://ift.tt/2nVEhyp Twitter: @SecuriTeam_SSD Weibo: SecuriTeam_SSD Vulnerability Summary The following advisory describes a unauthenticated file inclusion vulnerability that leads to remote code execution found in vBulletin version 5. vBulletin, also known as vB, is a widespread proprietary Internet forum software package developed by vBulletin Solutions, Inc., based on PHP and MySQL database server. vBulletin powers many of the largest social sites on the web, with over 100,000 sites built on it, including Fortune 500 and Alexa Top 1M companies websites and forums. According to the latest W3Techs1 statistics, vBulletin version 4 holds more than 55% of the vBulletin market share, while version 3 and 5 divide the remaining percentage Credit An independent security researcher has reported this vulnerability to Beyond Security’s SecuriTeam Secure Disclosure program Vendor response We tried to contact vBulletin since November 21 2017, repeated attempts to establish contact went unanswered. At this time there is no solution or workaround for these vulnerabilities. Vulnerability details vBulletin contains a vulnerability that can allow a remote attacker to include any file from the vBulletin server and execute arbitrary PHP code. An unauthenticated user is able to send a GET request to /index.php which can then trigger the file inclusion vulnerability with parameter routestring=. The request allows an attacker to create a crafted request to Vbulletin server installed on Windows OS and include any file on the web server. Listing of /index.php: === /* 48 */ $app = vB5_Frontend_Application::init('config.php'); /* 49 */ //todo, move this back so we can catch notices in the startup code. For now, we can set the value in the php.ini /* 50 */ //file to catch these situations. /* 51 */ // We report all errors here because we have to make Application Notice free /* 52 */ error_reporting(E_ALL | E_STRICT); /* 53 */ /* 54 */ $config = vB5_Config::instance(); /* 55 */ if (!$config->report_all_php_errors) { /* 56 */ // Note that E_STRICT became part of E_ALL in PHP 5.4 /* 57 */ error_reporting(E_ALL & ~(E_NOTICE | E_STRICT)); /* 58 */ } /* 59 */ /* 60 */ $routing = $app->getRouter(); /* 61 */ $method = $routing->getAction(); /* 62 */ $template = $routing->getTemplate(); /* 63 */ $class = $routing->getControllerClass(); /* 64 */ /* 65 */ if (!class_exists($class)) /* 66 */ { /* 67 */ // @todo - this needs a proper error message /* 68 */ die("Couldn't find controller file for $class"); /* 69 */ } /* 70 */ /* 71 */ vB5_Frontend_ExplainQueries::initialize(); /* 72 */ $c = new $class($template); /* 73 */ /* 74 */ call_user_func_array(array(&$c, $method), $routing->getArguments()); /* 75 */ /* 76 */ vB5_Frontend_ExplainQueries::finish(); === Let’s take a closer look on vB5_Frontend_Application::init() – Listing of /includes/vb5/frontend/application.php: === /* 15 */ public static function init($configFile) /* 16 */ { /* 17 */ parent::init($configFile); /* 18 */ /* 19 */ self::$instance = new vB5_Frontend_Application(); /* 20 */ self::$instance->router = new vB5_Frontend_Routing(); /* 21 */ self::$instance->router->setRoutes(); /* ... */ === We can see that setRoutes() is called: Listing of /includes/vb5/frontend/routing.php: === /* 47 */ public function setRoutes() /* 48 */ { /* 49 */ $this->processQueryString(); /* 50 */ /* 51 */ //TODO: this is a very basic and straight forward way of parsing the URI, we need to improve it /* 52 */ //$path = isset($_SERVER['PATH_INFO']) ? $_SERVER['PATH_INFO'] : ''; /* 53 */ /* 54 */ if (isset($_GET['routestring'])) /* 55 */ { /* 56 */ $path = $_GET['routestring']; /* ... */ /* 73 */ } /* 74 */ /* 75 */ if (strlen($path) AND $path{0} == '/') /* 76 */ { /* 77 */ $path = substr($path, 1); /* 78 */ } /* 79 */ /* 80 */ //If there is an invalid image, js, or css request we wind up here. We can't process any of them /* 81 */ if (strlen($path) > 2 ) /* 82 */ { /* 83 */ $ext = strtolower(substr($path, -4)) ; /* 84 */ if (($ext == /* 47 */ public function setRoutes() /* 48 */ { /* 49 */ $this->processQueryString(); /* 50 */ /* 51 */ //TODO: this is a very basic and straight forward way of parsing the URI, we need to improve it /* 52 */ //$path = isset($_SERVER['PATH_INFO']) ? $_SERVER['PATH_INFO'] : ''; /* 53 */ /* 54 */ if (isset($_GET['routestring'])) /* 55 */ { /* 56 */ $path = $_GET['routestring']; /* ... */ /* 73 */ } /* 74 */ /* 75 */ if (strlen($path) AND $path{0} == '/') /* 76 */ { /* 77 */ $path = substr($path, 1); /* 78 */ } /* 79 */ /* 80 */ //If there is an invalid image, js, or css request we wind up here. We can't process any of them /* 81 */ if (strlen($path) > 2 ) /* 82 */ { /* 83 */ $ext = strtolower(substr($path, -4)) ; /* 84 */ if (($ext == '.gif') OR ($ext == '.png') OR ($ext == '.jpg') OR ($ext == '.css') /* 85 */ OR (strtolower(substr($path, -3)) == '.js') ) /* 86 */ { /* 87 */ header("HTTP/1.0 404 Not Found"); /* 88 */ die(''); /* 89 */ } /* 90 */ } /* 91 */ /* 92 */ try /* 93 */ { /* 94 */ $message = ''; // Start with no error. /* 95 */ $route = Api_InterfaceAbstract::instance()->callApi('route', 'getRoute', array('pathInfo' => $path, 'queryString' => $_SERVER['QUERY_STRING'])); /* 96 */ } /* 97 */ catch (Exception $e) /* 98 */ { /* ... */ /* 106 */ } /* ... */ /* 127 */ if (!empty($route)) /* 128 */ { /* ... */ /* 188 */ } /* 189 */ else /* 190 */ { /* 191 */ // if no route was matched, try to parse route as /controller/method /* 192 */ $stripped_path = preg_replace('/[^a-z0-9\/-_.]+/i', '', trim(strval($path), '/')); /* ... */ /* 229 */ } /* 230 */ /* 231 */ //this could be a legacy file that we need to proxy. The relay controller will handle /* 232 */ //cases where this is not a valid file. Only handle files in the "root directory". We'll /* 233 */ //handle deeper paths via more standard routes. /* 234 */ if (strpos($path, '/') === false) /* 235 */ { /* 236 */ $this->controller = 'relay'; /* 237 */ $this->action = 'legacy'; /* 238 */ $this->template = ''; /* 239 */ $this->arguments = array($path); /* 240 */ $this->queryParameters = array(); /* 241 */ return; /* 242 */ } /* 243 */ /* 244 */ vB5_ApplicationAbstract::checkState(); /* 245 */ /* 246 */ throw new vB5_Exception_404("invalid_page_url"); /* 247 */ } ) ) /* 86 */ { /* 87 */ header("HTTP/1.0 404 Not Found"); /* 88 */ die(''); /* 89 */ } /* 90 */ } /* 92 */ try /* 93 */ { /* 94 */ $message = ''; // Start with no error. /* 95 */ $route = Api_InterfaceAbstract::instance()->callApi('route', 'getRoute', array('pathInfo' => $path, 'queryString' => $_SERVER['QUERY_STRING'])); /* 96 */ } /* 97 */ catch (Exception $e) /* 98 */ { /* ... */ /* 106 */ } /* ... */ /* 127 */ if (!empty($route)) /* 128 */ { /* ... */ /* 188 */ } /* 189 */ else /* 190 */ { /* 191 */ // if no route was matched, try to parse route as /controller/method /* 192 */ $stripped_path = preg_replace('/[^a-z0-9\/-_.]+/i', '', trim(strval($path), '/')); /* ... */ /* 229 */ } /* 230 */ /* 231 */ //this could be a legacy file that we need to proxy. The relay controller will handle /* 232 */ //cases where this is not a valid file. Only handle files in the "root directory". We'll /* 233 */ //handle deeper paths via more standard routes. /* 234 */ if (strpos($path, '/') === false) /* 235 */ { /* 236 */ $this->controller = 'relay'; /* 237 */ $this->action = 'legacy'; /* 238 */ $this->template = ''; /* 239 */ $this->arguments = array($path); /* 240 */ $this->queryParameters = array(); /* 241 */ return; /* 242 */ } /* … */ === So if our routestring does not end with ‘.gif’, ‘.png’, ‘.jpg’, ‘.css’ or ‘.js’ and does not contain ‘/’ char vBulletin will call legacy() method from vB5_Frontend_Controller_Relay – /includes/vb5/frontend/controller/relay.php: === /* 63 */ public function legacy($file) /* 64 */ { /* 65 */ $api = Api_InterfaceAbstract::instance(); /* 66 */ $api->relay($file); /* 67 */ } === If we will check relay() from Api_Interface_Collapsed class – /include/api/interface/collapsed.php: === /* 117 */ public function relay($file) /* 118 */ { /* 119 */ $filePath = vB5_Config::instance()->core_path . '/' . $file; /* 120 */ /* 121 */ if ($file AND file_exists($filePath)) /* 122 */ { /* 123 */ //hack because the admincp/modcp files won't return so the remaining processing in /* 124 */ //index.php won't take place. If we better integrate the admincp into the /* 125 */ //frontend, we can (and should) remove this. /* 126 */ vB_Shutdown::instance()->add(array('vB5_Frontend_ExplainQueries', 'finish')); /* 127 */ require_once($filePath); /* 128 */ } /* ... */ === As we could see an attacker is not able to use ‘/’ in the $file so he cannot change current directory on Linux. But for Windows he can use ‘\’ as path delimiter and is able to specify any desired file (he can use ‘\..\’ trick as well) and it will be included by php. If we want to include file with extension like ‘.gif’, ‘.png’, ‘.jpg’, ‘.css’ or ‘.js’ we will need to bypass the mentioned check in setRoutes() method. This can be easily done by adding dot (‘.’) or space (‘%20’) to the filename.

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McGuire · at 12/15/2017 02:03:00 PM

About ===== A type conversion vulnerability exist in the MP4 demux module in VLC <=2.2.8. This issue has been assigned CVE-2017-17670 and it could be used to cause an arbitrary free. Details ======= MP4 is a container format for video, audio, subtitles and images. The various parts of an .mp4 are organized as hierarchical boxes/atoms in big-endian byte ordering [1]. VLC processes these boxes by using a lookup table: vlc-2.2.8/modules/demux/mp4/libmp4.c ,-

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McGuire · at 12/15/2017 01:53:00 PM

McGuire · at 12/15/2017 01:53:00 PM

McGuire · at 12/15/2017 01:23:00 PM

============================================= MGC ALERT 2017-007 - Original release date: November 30, 2017 - Last revised: December 14, 2017 - Discovered by: Manuel García Cárdenas - Severity: 7,5/10 (CVSS Base Score) - CVE-ID: CVE-2017-17088 ============================================= I. VULNERABILITY

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McGuire · at 12/15/2017 12:15:00 PM

thoughts from your friends. Even [“The. houseguest, but unprintable advice about dealing with personal challenges]. If so, it might be possible that . real. a mask). , is that as a society. (i. anywhere, from an Internet café in Malaysia to a Michigan suburb. e. Oct 1, 2017. Hi-Fi. without identifying. true.

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McGuire · at 12/15/2017 12:15:00 PM

Elasticsearch version ( bin/elasticsearch --version ): 6.1.0. Plugins installed: []. JVM version : 1.8.0_152. OS version : Mac OS X 10.13.2. Description of the problem including expected versus actual behavior: Anonymous filters aggregation returns a named result using integers as keys when a bool query ...

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McGuire · at 12/15/2017 12:15:00 PM

The lawyer of the anonymous woman whose single accusation of “inappropriate sexual behavior” led to veteran The Today Show anchor Matt Lauer's swift firing at the end of November by NBC News pled with those searching for his client's identity to stop because she is “terrified.” In an interview with ...

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McGuire · at 12/15/2017 06:05:00 AM

Anonymous Letter. Delete. Save. Save as Draft. Cancel. Loading Loading. p. 2. Loading Loading. p. 3. Loading Loading. « Page Note 1 of 14 1. » Anonymous Letter. Contents. Anonymous Letter p.1. Original Document (PDF) » · Print Notes ». Related Article ». Contributed by: Amita Parashar, NPR. «.

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McGuire · at 12/15/2017 04:15:00 AM

to use Realis： Step1: Choose one question. houseguest, but unprintable advice about dealing with personal challenges]. could be behind their laptops. Feb 9, 2012. 3, 10. JB. warm affection for one another as between [family], and a. Donor”],. Im a. thoughts from your friends. Realis is where to ask any ...

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McGuire · at 12/15/2017 03:55:00 AM

Security researchers have uncovered another nasty piece of malware designed specifically to target industrial control systems (ICS) with a potential to cause health and life-threatening accidents. Dubbed Triton, also known as Trisis, the ICS malware has been designed to target Triconex Safety Instrumented System (SIS) controllers made by Schneider Electric—an autonomous control system that

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McGuire · at 12/15/2017 03:11:00 AM

Earth's annual Geminid meteor shower did not disappoint as our fair planet plowed through dust from active asteroid 3200 Phaethon. Captured in this northern hemisphere nightscape, the meteors stream away from the shower's radiant in Gemini. To create the image, 37 individual frames recording meteor streaks were taken over period of 8.5 hours during the night of December 12/13. In the final composite they were selected and registered against the starry sky above a radio telescope dish of MUSER, a solar-dedicated radio telescope array at astronomically-named Mingantu Station in Inner Mongolia, China, about 400 kilometers from Beijing. Sirius, alpha star of Canis Major, shines brightly just above the radio dish and the Milky Way stretches toward the zenith. Yellowish Betelgeuse is a standout in Orion to the right of the northen Milky Way. The shower's radiant is at top left, high above the horizon near Castor and Pollux the twin stars of Gemini. The radiant effect is due to perspective as the parallel meteor tracks appear to converge in the distance. Gemini's meteors enter Earth's atmosphere traveling at about 22 kilometers per second. via NASA http://ift.tt/2BkhPVp

McGuire · at 12/15/2017 03:05:00 AM

Name, Anonymous user 7c8e93. User since, دسمبر 14, 2017. Number of add-ons developed, 0 add-ons. Average rating of developer's add-ons, Not yet rated ...

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McGuire · at 12/15/2017 03:05:00 AM

Santa B” has struck again, and more than 200 families received a wonderful Christmas gi...

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McGuire · at 12/14/2017 06:50:00 PM

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McGuire · at 12/14/2017 05:05:00 PM

Dealership Accountant in Accounting and public practice, Accountant with Anonymous. Apply Today.

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McGuire · at 12/14/2017 05:05:00 PM

Client Accountant in Accounting and public practice, Accountant with Anonymous. Apply Today.

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McGuire · at 12/14/2017 02:00:00 PM

View details and apply for this head chef job in Edinburgh (EH10) with Anonymous Recruiter on Caterer.com. Chop House are recruiting for an experienced Head Chef to launch their third city centre steak restaurant in early 2018.

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McGuire · at 12/14/2017 12:45:00 PM

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McGuire · at 12/14/2017 11:01:00 AM

Name, Anonymous user 344403. User since, دسمبر 14, 2017. Number of add-ons developed, 0 add-ons. Average rating of developer's add-ons, Not yet rated ...

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McGuire · at 12/14/2017 10:31:00 AM

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McGuire · at 12/14/2017 10:11:00 AM

51 Soyuz (51S) Undock and Landing Preparations: The crew completed packing the cargo for return on 51S. Randy Bresnik handed over command of the ISS to Alexander Misurkin. Following the Change of Command, the new Commander’s Soyuz crew became prime for emergencies. Bresnik, Sergey Ryazanskiy, and Paolo Nespoli will undock from the ISS at 11:13 … Continue reading

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McGuire · at 12/14/2017 07:01:00 AM

s intended purpose is discussion of. State. image board. The Overchan is a directory of anonymous imageboards from around the world. PEOPLE is a feature documentary film about the over 23 million Americans living in long-term recovery from addiction to alcohol and other drugs. board. University.

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McGuire · at 12/14/2017 06:10:00 AM

list is updated every 10 minutes to keep fresh. anonymous. free proxy. to surf anonymously & protect your online identity. . THE list of high quality working proxies. free anonymous proxy. Web. Programs:. Free Proxy is defined as any proxy server provided for free. to hide your IP address while you surf ...

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McGuire · at 12/14/2017 04:35:00 AM

How to configure SMTP without username and password. it is giving me authentication error but SMTP using Powershell is working fine for same @badita please help.

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McGuire · at 12/14/2017 04:35:00 AM

Bolt: anonymous payment channels for decentralized currencies Green and Miers et al., CCS'17 Yesterday we spent some time looking at what payment channels are, their role in helping Bitcoin to scale by taking some of the load off of the chain, and some payment channels constructions such as direct ...

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McGuire · at 12/14/2017 04:31:00 AM

Security researchers have publicly disclosed an unpatched zero-day vulnerability in the firmware of AT&T DirecTV WVB kit after trying to get the device manufacturer to patch this easy-to-exploit flaw over the past few months. The problem is with a core component of the Genie DVR system that's shipped free of cost with DirecTV and can be easily exploited by hackers to gain root access and take

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McGuire · at 12/14/2017 12:30:00 AM

The evolution of the newly-erupted "surtseyan" island (~ 180 hectares in area) in the Kingdom of Tonga in the Southwestern Pacific is documented in a time-lapse sequences of perspective views using a time-series of DigitalGlobe WorldView images from just after the eruption ended in late January 2015 until late September 2017. These meter-resolution views were generated using Digital Elevation Models (DEMs) created by the NASA- led science team using stereo-pairs of DigitalGlobe Worldview images, and have allowed the erosional history of this unique island to be studied from a never-before-possible spaceborne perspective. The impact of marine abrasion on the somewhat fragile volcanic-ash landscapes is evident as the southern and southeastern margins of the new island, informally known as Hunga Tonga Hunga Ha'apai (HTHH), recede, while deposition of a widening isthmus grows to the northeast. Research results from NASA-funded science team led by James B. Garvin (NASA GSFC), Daniel A. Slayback (SSAI), Vicki Ferrini (Columbia) recently submitted for publication in the AGU's Geophysical Research Letters journal suggest the island's lifetime may be extended for another 25-30 years if geochemical fortification continues to protect key regions. The HTHH island is the first surtseyan eruption-based island to have persisted as "new land" for more than 6 months since Surtsey erupted near Iceland in 1963. Studies of the landscape evolution of pristine volcanic islands of this variety previously relied on a combination of aerial photography, field mapping, and laboratory sample analysis, but this new work enables an optimized approach via advanced satellite optical and radar imaging in combination with ship-based bathymetric mapping. Results of this work can be applied to understanding numerous small volcanic landforms on Mars whose formation may have been in shallow-water environments during epochs when persistent surface water was present. Field photography and sampling of the HTHH island "system" by French sailors who served as citizen geoscientists for the NASA project greatly enhanced the project and validated several key interpretations. (Special thanks to NASA Earth Sciences RRNES program, French sailors Damien Grouille and Cecile Sabau of the sailing vessel Colibri, and to the Schmidt Ocean Institute R/V Falkor).

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McGuire · at 12/13/2017 07:34:00 PM

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McGuire · at 12/13/2017 04:45:00 PM

Anonymous – FOH & BOH positions. Posted on December 13, 2017. Upscale, open kitchen concept in downtown Needham is looking to re-launch under a new brand. We are looking for motivated and skilled workers to become part of our team. Openings in both the front and back of the house.

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McGuire · at 12/13/2017 03:20:00 PM

Anonymous. //. Bayern München 1 FC Köln live score video stream and H2H results sofascorecombayernmunchen1fckolnwdbsxdb FREE Live······▻ http://ift.tt/2hkKuMW FREE Live······▻ http://ift.tt/2hkKuMW FREE Live······▻ http://ift.tt/2o0e69N;...

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McGuire · at 12/13/2017 01:24:00 PM

David Geer #geercom
Technology writer/journalist David Geer writes about cybersecurity & technology. "It's a trade secret. I could tell you, but then I'd have to encrypt you."
Northeast Ohio
http://t.co/V7loGWBuem
Following: 28703 - Followers: 33665

December 13, 2017 at 01:24PM via Twitter http://twitter.com/geercom

McGuire · at 12/13/2017 01:10:00 PM

admin: pattern: "^/%admin_prefix%" provider: fos_userbundle form_login: login_path: fos_user_security_login_admin check_path: fos_user_security_check_admin failure_path: fos_user_security_login_admin csrf_token_generator: security.csrf.token_manager default_target_path: dashboard logout: ...

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McGuire · at 12/13/2017 12:51:00 PM

Asterisk Project Security Advisory - AST-2017-012 Product Asterisk Summary Remote Crash Vulnerability in RTCP Stack Nature of Advisory Denial of Service Susceptibility Remote Unauthenticated Sessions Severity Moderate Exploits Known No Reported On October 30, 2017 Reported By Tzafrir Cohen and Vitezslav Novy Posted On December 13, 2017 Last Updated On December 12, 2017 Advisory Contact Jcolp AT digium DOT com CVE Name Description If a compound RTCP packet is received containing more than one report (for example a Receiver Report and a Sender Report) the RTCP stack will incorrectly store report information outside of allocated memory potentially causing a crash. For all versions of Asterisk this vulnerability requires an active call to be established. For versions of Asterisk 13.17.2, 14.6.2, 15.0.0, 13.13-cert6 and greater an additional level of security is placed upon RTCP packets. If the probation period for incoming RTP traffic has passed any received RTCP packets must contain the same SSRC as the RTP traffic. If the RTCP packets do not then they are dropped. This ensures other parties can not inject RTCP packets without they themselves establishing an active call. Resolution The RTCP stack has been changed so the report information is always stored in allocated memory. The provided patches can be applied to the appropriate version or the latest version of Asterisk can be installed to receive the fix. Affected Versions Product Release Series Asterisk Open Source 13.x All Versions Asterisk Open Source 14.x All Versions Asterisk Open Source 15.x All Versions Certified Asterisk 13.13 All Versions Corrected In Product Release Asterisk Open Source 13.18.4, 14.7.4, 15.1.4 Certified Asterisk 13.13-cert9 Patches SVN URL Revision http://ift.tt/2BZXHEo Asterisk 13 http://ift.tt/2ATBcBU Asterisk 14 http://ift.tt/2BZYfdq Asterisk 15 http://ift.tt/2ATBcSq Certified Asterisk 13.13 Links http://ift.tt/2BZYg0Y http://ift.tt/2AUkfr3 Asterisk Project Security Advisories are posted at http://ift.tt/12wGWyz This document may be superseded by later versions; if so, the latest version will be posted at http://ift.tt/2ASlxCK and http://ift.tt/2BZXKjy Revision History Date Editor Revisions Made November 30, 2017 Joshua Colp Initial Revision Asterisk Project Security Advisory - AST-2017-012 Copyright © 2017 Digium, Inc. All Rights Reserved. Permission is hereby granted to distribute and publish this advisory in its original, unaltered form.

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McGuire · at 12/13/2017 12:06:00 PM

NanoRacks Vuze (One Strange Rock) Camera Operations in the Service Module: The crew used the NanoRacks Vuze camera to record 3-Dementional 360-degree videos inside of the ISS. The handheld camera was used in the USOS and Russian Segment to capture long corridor footage to give the viewer a 3D perspective of floating through the ISS. … Continue reading

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McGuire · at 12/13/2017 11:55:00 AM

The U.S. federal officials have arrested two hackers who have pleaded guilty to computer-crimes charges for creating and distributing Mirai botnet that crippled some of the world's biggest and most popular websites by launching the massive DDoS attacks last year. According to the federal court documents unsealed Tuesday, Paras Jha and Josiah White were indicted by an Alaska court last week on

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McGuire · at 12/13/2017 07:39:00 AM

247 SEO Expert
SEO Expert | Passionate Digital Marketing Team of Native Speakers | Top 100 SEO Experts 2017 | 6 Languages | Call @didierdelmer on +44 208 123 00 78
London, England
https://t.co/DSSTh39ZbJ
Following: 3302 - Followers: 4255

December 13, 2017 at 07:39AM via Twitter http://twitter.com/247seoexpert

McGuire · at 12/13/2017 06:01:00 AM

Even after so many efforts by Google like launching bug bounty program and preventing apps from using Android accessibility services, malicious applications somehow manage to get into Play Store and infect people with malicious software. The same happened once again when security researchers discovered at least 85 applications in Google Play Store that were designed to steal credentials from

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McGuire · at 12/13/2017 05:05:00 AM

Manage anonymous user flow. I have a custom REST API that takes in user & password and get an access token from Auth0 via a custom database connection, on successful login. The Client app will send the access token to the server on every request and the server will fulfill the request after ...

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McGuire · at 12/13/2017 05:05:00 AM

Bolt: anonymous payment channels for decentralized currencies Green and Miers et al., CCS'17 In which I tried not to rant. But did end up ranting just a little bit... The world of blockchains and cryptocurrencies seems to be growing at quite a pace. Yesterday we looked at Solidus, which provides ...

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McGuire · at 12/13/2017 05:05:00 AM

Clients when exporting information from The Raiser's Edge, may wish for the donor's name to show as anonymous like it does in reports. Article Number: 115084. Products: Raiser's Edge RE. This functionality is not possible. The donor name will always display in the export. Some other fields like ...

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McGuire · at 12/13/2017 05:05:00 AM

You can be an integral part of ensuring your neighborhood is safe. Cobb County Police Department needs your help to solve crimes. Providing tips is a safe, anonymous and effective way to prevent and solve unlawful acts. You can anonymously call or email your crime tips to 770-499-4111 or ...

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McGuire · at 12/13/2017 04:05:00 AM

Name, Anonymous user faaa89. User since, Dec. 13, 2017. Number of add-ons developed, 0 add-ons. Average rating of developer's add-ons, Not yet rated ...

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McGuire · at 12/13/2017 03:59:00 AM

The evolution of the newly-erupted "surtseyan" island ( 180 hectares in area) in the Kingdom of Tonga in the Southwestern Pacific is documented in a time-lapse sequences of perspective views using a time-series of DigitalGlobe WorldView images from just after the eruption ended in late January 2015 until late September 2017. These meter-resolution views were generated using Digital Elevation Models (DEMs) created by the NASA- led science team using stereo-pairs of DigitalGlobe Worldview images, and have allowed the erosional history of this unique island to be studied from a never-before-possible spaceborne perspective. The impact of marine abrasion on the somewhat fragile volcanic-ash landscapes is evident as the southern and southeastern margins of the new island, informally known as Hunga Tonga Hunga Ha'apai (HTHH), recede, while deposition of a widening isthmus grows to the northeast. Research results from NASA-funded science team led by James B. Garvin (NASA GSFC), Daniel A. Slayback (SSAI), Vicki Ferrini (Columbia) recently submitted for publication in the AGU's Geophysical Research Letters journal suggest the island's lifetime may be extended for another 25-30 years if geochemical fortification continues to protect key regions. The HTHH island is the first surtseyan eruption-based island to have persisted as "new land" for more than 6 months since Surtsey erupted near Iceland in 1963. Studies of the landscape evolution of pristine volcanic islands of this variety previously relied on a combination of aerial photography, field mapping, and laboratory sample analysis, but this new work enables an optimized approach via advanced satellite optical and radar imaging in combination with ship-based bathymetric mapping. Results of this work can be applied to understanding numerous small volcanic landforms on Mars whose formation may have been in shallow-water environments during epochs when persistent surface water was present. Field photography and sampling of the HTHH island "system" by French sailors who served as citizen geoscientists for the NASA project greatly enhanced the project and validated several key interpretations. (Special thanks to NASA Earth Sciences RRNES program, French sailors Damien Grouille and Cecile Sabau of the sailing vessel Colibri, and to the Schmidt Ocean Institute R/V Falkor).

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McGuire · at 12/13/2017 03:11:00 AM

Title: Meinberg LANTIME Web Configuration Utility - Arbitrary File Upload (Path Traversal) Author: Jakub Palaczynski CVE: CVE-2017-16788 Exploit was tested on: ====================== Meinberg LANTIME Web Configuration Utility 6.16.008 Vulnerability affects: ====================== All LTOS6 firmware releases before 6.24.004 Vulnerability: ************** Arbitrary File Upload (Path Traversal): ======================================= It is possible to upload any file to any location on the server. Proof of Concept: "Upload Groupkey" functionality allows for uploading any file to any location on the server. An attacker may use path traversal to store files in for example cron.d directory and execute them automatically to get root access on the system. This vulnerability allows for getting root access on the system from Admin-User access. Contact: ======== Jakub[dot]Palaczynski[at]gmail[dot]com

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McGuire · at 12/12/2017 07:56:00 PM

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McGuire · at 12/12/2017 07:39:00 PM

George Boomer
Passions: predictive analysis, discrete-choice modeling, fader-hardie forecasting, New Yorker humor, & our Jack Russell Terriers.
San Diego, CA
https://t.co/vz4TwwaWxh
Following: 3540 - Followers: 3811

December 12, 2017 at 07:39PM via Twitter http://twitter.com/StatWizards

McGuire · at 12/12/2017 06:14:00 PM

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McGuire · at 12/12/2017 05:05:00 PM

I'm curious to know if the survey's I email out are able to be kept anonymous, as in the person answering does not have to leave their name and email?

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McGuire · at 12/12/2017 04:12:00 PM

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McGuire · at 12/12/2017 03:10:00 PM

View details and apply for this assistant restaurant manager job in West London (W12) with anonymous recruiter on Caterer.com. About The Real Greek The Real Greek is a small and friendly company with fantastic training and development, a competitive pay structure and plenty of opportunities to ...

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McGuire · at 12/12/2017 03:10:00 PM

Name, Anonymous user 5205b1. User since, Dec. 12, 2017. Number of add-ons developed, 0 add-ons. Average rating of developer's add-ons, Not yet rated ...

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McGuire · at 12/12/2017 01:14:00 PM

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McGuire · at 12/12/2017 12:08:00 PM

A 19-year-old vulnerability has been re-discovered in the RSA implementation from at least 8 different vendors—including F5, Citrix, and Cisco—that can give remote attackers access to encrypted messages. Dubbed ROBOT (Return of Bleichenbacher's Oracle Attack), the attack allows an attacker to perform RSA decryption and cryptographic operations using the private key configured on the

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McGuire · at 12/12/2017 10:56:00 AM

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McGuire · at 12/12/2017 10:14:00 AM

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McGuire · at 12/12/2017 10:02:00 AM

Probiotics Operations: Over the weekend, a crewmember completed the fourth and final sampling phase of the JAXA Probiotic investigation. The first half of the sampling phase was completed on GMT 343 with fecal sample collections. The second half of the sampling phase included saliva sample collections and a questionnaire, which was completed the following day. … Continue reading

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McGuire · at 12/12/2017 07:01:00 AM

Anonymous Girls mirrin 12/12/17(Tue)04:16:59 No.2013609. File: 1497717191750.webm (186 KB, 720x404). 186 KB WEBM. Girls mirrin Anonymous 12/12/17(Tue)04:16:59 No.2013609. Girls being smitten. Girls checking somebody out. >> Anonymous 12/12/17(Tue)04:17:44 No.2013610. Anonymous ...

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McGuire · at 12/12/2017 07:01:00 AM

[12/12/2017]] ⓨ best way to get anonymous Bitcoin. create my own Bitcoin mining pool.

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McGuire · at 12/12/2017 07:01:00 AM

12/12/2017# ~A7= largest free Bitcoin :: free anonymous Bitcoin wallet.

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McGuire · at 12/12/2017 07:01:00 AM

General ledger Accountant (Temporary Position) in Accounting and public practice, Accountant with Anonymous. Apply Today.

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McGuire · at 12/12/2017 07:01:00 AM

Top 20 Corporate Tax Senior in Accounting and public practice, Tax with Anonymous. Apply Today.

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McGuire · at 12/12/2017 07:01:00 AM

Name, Anonymous user 0255ce. User since, Dec. 12, 2017. Number of add-ons developed, 0 add-ons. Average rating of developer's add-ons, Not yet rated ...

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McGuire · at 12/12/2017 07:01:00 AM

Can you remain anonymous if you win the lottery in texas. C. But some use The Powerball that gives the lottery its name is the one that makes it so hard to win the big jackpot. John Jordan. We invite you to participate in our Blaze poll on the lottery. Poll Icon. 6 . First of all, if you can preserve any kind of ...

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McGuire · at 12/12/2017 06:05:00 AM

Name, Anonymous user f702a4. User since, Dec. 12, 2017. Number of add-ons developed, 0 add-ons. Average rating of developer's add-ons, Not yet rated ...

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McGuire · at 12/12/2017 05:49:00 AM

Sparkles Summers
#WasNotGoingToTell & #RecipesForTransformation Nov 2017. Living with Passion & Purpose; a Purpose Journey, Army Vet, Military Mom & Motivational Writer - Faith
There is Power In Purpose!
https://t.co/dfM9ZgYOyA
Following: 11047 - Followers: 12313

December 12, 2017 at 05:49AM via Twitter http://twitter.com/ForwardPressed

McGuire · at 12/12/2017 05:19:00 AM

Sachin Lulla
Global Vice President #IBM Auto, A&D Strategy & Solutions #Watson #IoT #AI #IIoT #SelfDriving #Cognitive #DeepLearning #MachineLearnning #Autonomous #Blockchain
Florida, USA
https://t.co/4ZyG9FgkYe
Following: 30411 - Followers: 33477

December 12, 2017 at 05:19AM via Twitter http://twitter.com/SachinLulla

McGuire · at 12/12/2017 04:48:00 AM

Hackers always first go for the weakest link to quickly gain access to your online accounts. Online users habit of reusing the same password across multiple services gives hackers opportunity to use the credentials gathered from a data breach to break into their other online accounts. Researchers from security firm 4iQ have now discovered a new collective database on the dark web (released

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McGuire · at 12/12/2017 04:04:00 AM

Manjeet Rege, PhD
Speaker. Author. Educator. #BigData #MachineLearning #Analytics
Minneapolis, MN
https://t.co/G1nbkB6GIu
Following: 15016 - Followers: 18515

December 12, 2017 at 04:04AM via Twitter http://twitter.com/ManjeetRege

McGuire · at 12/12/2017 03:05:00 AM

[12/12/2017] Ⓦ Bitcoin mining aliexpress. Bitcoin generator by anonymous.

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McGuire · at 12/12/2017 03:05:00 AM

“I thought about it all day,” she said, “and even woke up in the middle of the night. What should I do?” Smith, 26, is the owner of the Adobe Pet Cemetery located off Rockwell Road. Though her mom and sister help some, it's basically just her. As chronicled in a column on Dec. 4, Smith bought the ...

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McGuire · at 12/12/2017 03:03:00 AM

As promised last week, Google's Project Zero researcher Ian Beer now publicly disclosed an exploit that works on almost all 64-bit Apple devices running iOS 11.1.2 or earlier, which can be used to build an iOS jailbreak, allowing users to run apps from non-Apple sources. On Monday morning, Beer shared the details on the exploit, dubbed "tfp0," which leveraged double-free memory corruption

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McGuire · at 12/11/2017 11:00:00 PM

Anonymous – Chef de Cuisine & Sous Chefs. Posted on December 11, 2017. A South Boston restaurant group with Italian, Mexican, & American concepts is seeking a Chef De Cuisine and Sous Chefs to join their team. Applicants should have 2-4 years of experience as a sous chef in a fast-paced, ...

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McGuire · at 12/11/2017 10:01:00 PM

"First they Ignore you, then they Laugh at you, then they Fight you, then you get a take home Coding Assignment"

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McGuire · at 12/11/2017 10:01:00 PM

The estate gift from an anonymous donor is intended for scholarship endowments to benefit students pursuing a degree in education. Morgan Patrick Morgan (cq), development officer at the ULM Foundation, announced the gift at a news conference Monday. “The donor is a ULM alumna and a retired ...

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McGuire · at 12/11/2017 07:49:00 PM

RyanFoland #GingerMC
International Speaker 🌎 | Creator of #313Method | Blackbelt of Branding 🥋 | Comm manager @UCIrvine👍 | ❤ ⛵🌬 | AKA #GingerMC:🎙️ ryan@ryanfoland.com
Long Beach, CA
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McGuire · at 12/11/2017 06:20:00 PM

julia - The Julia Language: A fresh approach to technical computing.

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McGuire · at 12/11/2017 06:20:00 PM

Name, Anonymous user 5f75c6. User since, Dec. 11, 2017. Number of add-ons developed, 0 add-ons. Average rating of developer's add-ons, Not yet rated ...

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McGuire · at 12/11/2017 05:05:00 PM

Professionals should resist the temptation to react angrily to negative anonymous feedback from peers or to advocate changing the review process. Instead, ignore useless feedback and focus on getting helpful pointers from your supervisors, writes Rob Walker.

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McGuire · at 12/11/2017 04:26:00 PM

Lighting Effects: A 52S crewmember logged into the sleep log application and provided a sleep log entry to track his daily sleep patterns and wakefulness. This entry supports a two week long sleep shift session that began earlier this week.The Lighting Effects investigation studies the impact of the change from fluorescent light bulbs to solid-state … Continue reading

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McGuire · at 12/11/2017 01:25:00 PM

Hacker group Anonymous last week posted a threat of cyberattacks to the governments of the US and Israel in response to American foreign policy. Among the websites listed as part of the attacks are those of the White House, Social Security Administration and IRS.

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McGuire · at 12/11/2017 12:58:00 PM

Security researchers have uncovered a previously undetected group of Russian-speaking hackers that has silently been targeting Banks, financial institutions, and legal firms, primarily in the United States, UK, and Russia. Moscow-based security firm Group-IB published a 36-page report on Monday, providing details about the newly-disclosed hacking group, dubbed MoneyTaker, which has been

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McGuire · at 12/11/2017 11:14:00 AM

Mike Donaldson
Entrepreneur, Helping people realize their dreams, Caribbean fanatic, snorkeling, Video Marketing Trainer, Travel, Boating, Enjoying life
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December 11, 2017 at 11:14AM via Twitter http://twitter.com/GetfreedomMike

McGuire · at 12/11/2017 10:09:00 AM

The Christmas season holds a special place in my heart.

Not because I’m particularly religious or spiritual. Not because I enjoy cold weather. And certainly not because I relish the taste of eggnog (the consistency alone makes my stomach turn).

Instead, Christmas means a lot to me because of my dad.

As I mentioned in a post a few weeks ago, I had a particularly rough childhood. There was a lot of mental illness in my family. I had to grow up fast in that environment and there were times where I missed out on the innocence of being a kid and living in the moment.

But somehow, through all that struggle, my dad made Christmas a glowing beacon of happiness.

Perhaps one of my favorite memories as a kid was when I was in kindergarten (5-6 years old). I had just gotten off the bus, book bag in hand.

I was walking down our long, curvy driveway where at the bottom of the hill I saw my dad laying out Christmas lights which would later decorate our house, bushes, and trees, transforming our home into a Christmas wonderland.

I took off like a rocket, carelessly running down the driveway (as only a child can), unzipped winter coat billowing behind me as I ran, shouting:

“Wait for me, dad!”

I didn’t want to miss out on the decorating festivities.

For the next few hours, my dad patiently helped me untangle the knotted ball of Christmas lights, lay them out, and then watched as I haphazardly threw the lights over the bushes and trees (that were many times my size), ruining any methodical, well-planned decorating blueprint he had so tirelessly designed.

Once I was finished he smiled proudly. He didn’t need any words. His smile confessed that my decorating was the best he had ever seen.

This is just one example of the many, many times my dad made Christmas special for me (despite what else may have been going on in the family).

He probably didn’t even know he was crafting a lifelong memory in my mind — he just wanted to make me happy.

Each year, when Christmas rolls around, I try to slow down, reduce stress, and enjoy the time of year.

Without my dad, I wouldn’t be where I am today — and I certainly wouldn’t have made it through my childhood.

In honor of the Christmas season I’d like to dedicate this blog post to my dad.

Even if you’re busy, don’t have the time, or simply don’t care about deep learning (the subject matter of today’s tutorial), slow down and give this blog post a read, if for nothing else than for my dad.

I hope you enjoy it.

Looking for the source code to this post?
Jump right to the downloads section.

Image classification with Keras and deep learning

This blog post is part two in our three part series of building a Not Santa deep learning classifier (i.e., a deep learning model that can recognize if Santa Clause is in an image or not):

Part 1: Deep learning + Google Images for training data
Part 2: Training a Santa/Not Santa detector using deep learning (this post)
Part 3: Deploying a Santa/Not Santa deep learning detector to the Raspberry Pi (next week’s post)

In the first part of this tutorial we’ll examine our “Santa” and “Not Santa” datasets.

Together, these images will enable us to train a Convolutional Neural Network using Python and Keras to detect if Santa is in an image.

Once we’ve explored our training images, we’ll move on to training the seminal LeNet architecture. We’ll use a smaller network architecture to ensure readers without expensive GPUs can still follow along with this tutorial. This will also ensure beginners can understand the fundamentals of deep learning with Convolutional Neural Networks with Keras and Python.

Finally, we’ll evaluate our Not Santa model on a series of images, then discuss a few limitations to our approach (and how to further extend it).

Our “Santa” and “Not Santa” dataset

Figure 1: A subset of the dataset for the Not Santa detector. Included are (left) Santa images extracted from Google Images and (right) images sampled from the UKBench dataset.

In order to train our Not Santa deep learning model, we require two sets of images:

Images containing Santa (“Santa”).
Images that do not contain Santa (“Not Santa”).

Last week we used our Google Images hack to quickly grab training images for deep learning networks.

In this case, we can see a sample of the 461 images containing Santa gathered using technique (Figure 1, left).

I then randomly sampled 461 images that do not contain Santa (Figure 1, right) from the UKBench dataset, a collection of ~10,000 images used for building and evaluating Content-based Image Retrieval (CBIR) systems (i.e., image search engines).

Used together, these two image sets will enable us to train our Not Santa deep learning model.

Your first image classifier with Convolutional Neural Networks and Keras

Figure 2: The LeNet architecture consists of two sets of convolutional, activation, and pooling layers, followed by a fully-connected layer, activation, another fully-connected, and finally a softmax classifier. We’ll be implementing this network architecture using Keras and Python (image source).

The LetNet architecture is an excellent “first image classifier” for Convolutional Neural Networks. Originally designed for classifying handwritten digits, we can easily extend it to other types of images as well.

This tutorial is meant to be an introduction to image classification using deep learning, Keras, and Python so I will not be discussing the inner-workings of each layer. If you are interested in taking a deep dive into deep learning, please take a look at my book, Deep Learning for Computer Vision with Python, where I discuss deep learning in detail (and with lots of code + practical, hands-on implementations as well).

Let’s go ahead and define the network architecture. Open up a new file name it

lenet.py

, and insert the following code:

Note: You’ll want to use the “Downloads” section of this post to download the source code + example images before running the code. I’ve included the code below as a matter of completeness, but you’ll want to ensure your directory structure matches mine.

# import the necessary packages
from keras.models import Sequential
from keras.layers.convolutional import Conv2D
from keras.layers.convolutional import MaxPooling2D
from keras.layers.core import Activation
from keras.layers.core import Flatten
from keras.layers.core import Dense
from keras import backend as K

class LeNet:
        @staticmethod
        def build(width, height, depth, classes):
                # initialize the model
                model = Sequential()
                inputShape = (height, width, depth)

                # if we are using "channels first", update the input shape
                if K.image_data_format() == "channels_first":
                        inputShape = (depth, height, width)

Lines 2-8 handle importing our required Python packages. The

Conv2D

class is responsible for performing convolution. We can use the

MaxPooling2D

class for max-pooling operations. As the name suggests, the

Activation

class applies a particular activation function. When we are ready to

Flatten

our network topology into fully-connected,

Dense

layer(s) we can use the respective class names.

The

LeNet

class is defined on Line 10 followed by the

build

method on Line 12. Whenever I defined a new Convolutional Neural Network architecture I like to:

Place it in its own class (for namespace and organizational purposes)
Create a static
```
build
```
function that builds the architecture itself

The

build

method, as the name suggests, takes a number of parameters, each of which I discuss below:

```
weight
```
: The width of our input images
```
height
```
: The height of the input images
```
depth
```
: The number of channels in our input images (
```
1
```
for grayscale single channel images,
```
3
```
for standard RGB images which we’ll be using in this tutorial)
```
classes
```
: The total number of classes we want to recognize (in this case, two)

We define our

model

on Line 14. We use the

Sequential

class since we will be sequentially adding layers to the

model

.

Line 15 initializes our

inputShape

using channels last ordering (the default for TensorFlow). If you are using Theano (or any other backend to Keras that assumes channels first ordering), Lines 18 and 19 properly update the

inputShape

.

Now that we have initialized our model, we can start adding layers to it:

# first set of CONV => RELU => POOL layers
                model.add(Conv2D(20, (5, 5), padding="same",
                        input_shape=inputShape))
                model.add(Activation("relu"))
                model.add(MaxPooling2D(pool_size=(2, 2), strides=(2, 2)))

Lines 21-25 creates our first set of

CONV => RELU => POOL

layers.

The

CONV

layer will learn 20 convolution filters, each of which are 5×5.

We then apply a ReLU activation function followed by 2×2 max-pooling in both the x and y direction with a stride of two. To visualize this operation, consider a sliding window that “slides” across the activation volume, taking the max operation over each region, while taking a step of two pixels in both the horizontal and vertical direction.

Let’s define our second set of

CONV => RELU => POOL

layers:

# second set of CONV => RELU => POOL layers
                model.add(Conv2D(50, (5, 5), padding="same"))
                model.add(Activation("relu"))
                model.add(MaxPooling2D(pool_size=(2, 2), strides=(2, 2)))

This time we are learning 50 convolutional filters rather than the 20 convolutional filters as in the previous layer set. It’s common to see the number of

CONV

filters learned increase the deeper we go in the network architecture.

Our final code block handles flattening out the volume into a set of fully-connected layers:

# first (and only) set of FC => RELU layers
                model.add(Flatten())
                model.add(Dense(500))
                model.add(Activation("relu"))

                # softmax classifier
                model.add(Dense(classes))
                model.add(Activation("softmax"))

                # return the constructed network architecture
                return model

On Line 33 we take the output of the preceding

MaxPooling2D

layer and flatten it into a single vector. This operation allows us to apply our dense/fully-connected layers.

Our fully-connected layer contains 500 nodes (Line 34) which we then pass through another nonlinear ReLU activation.

Line 38 defines another fully-connected layer, but this one is special — the number of nodes is equal to the number of

classes

(i.e., the classes we want to recognize).

This

Dense

layer is then fed into our softmax classifier which will yield the probability for each class.

Finally, Line 42 returns our fully constructed deep learning + Keras image classifier to the calling function.

Training our Convolutional Neural Network image classifier with Keras

Let’s go ahead and get started training our image classifier using deep learning, Keras, and Python.

Note: Be sure to scroll down to the “Downloads” section to grab the code + training images. This will enable you to follow along with the post and then train your image classifier using the dataset we have put together for you.

Open up a new file, name it

train_network.py

, and insert the following code (or simply follow along with the code download):

# set the matplotlib backend so figures can be saved in the background
import matplotlib
matplotlib.use("Agg")

# import the necessary packages
from keras.preprocessing.image import ImageDataGenerator
from keras.optimizers import Adam
from sklearn.model_selection import train_test_split
from keras.preprocessing.image import img_to_array
from keras.utils import to_categorical
from pyimagesearch.lenet import LeNet
from imutils import paths
import matplotlib.pyplot as plt
import numpy as np
import argparse
import random
import cv2
import os

On Lines 2-18 we import required packages. There packages enable us to:

Load our image dataset from disk
Pre-process the images
Instantiate our Convolutional Neural Network
Train our image classifier

Notice that on Line 3 we set the

matplotlib

backend to

"Agg"

so that we can save the plot to disk in the background. This is important if you are using a headless server to train your network (such as an Azure, AWS, or other cloud instance).

From there, we parse command line arguments:

# construct the argument parse and parse the arguments
ap = argparse.ArgumentParser()
ap.add_argument("-d", "--dataset", required=True,
        help="path to input dataset")
ap.add_argument("-m", "--model", required=True,
        help="path to output model")
ap.add_argument("-p", "--plot", type=str, default="plot.png",
        help="path to output accuracy/loss plot")
args = vars(ap.parse_args())

Here we have two required command line arguments,

--dataset

and

--model

, as well as an optional path to our accuracy/loss chart,

--plot

.

The

--dataset

switch should point to the directory containing the images we will be training our image classifier on (i.e., the “Santa” and “Not Santa” images) while the

--model

switch controls where we will save our serialized image classifier after it has been trained. If

--plot

is left unspecified, it will default to

plot.png

in this directory if unspecified.

Next, we’ll set some training variables, initialize lists, and gather paths to images:

# initialize the number of epochs to train for, initial learning rate,
# and batch size
EPOCHS = 25
INIT_LR = 1e-3
BS = 32

# initialize the data and labels
print("[INFO] loading images...")
data = []
labels = []

# grab the image paths and randomly shuffle them
imagePaths = sorted(list(paths.list_images(args["dataset"])))
random.seed(42)
random.shuffle(imagePaths)

On Lines 32-34 we define the number of training epochs, initial learning rate, and batch size.

Then we initialize data and label lists (Lines 38 and 39). These lists will be responsible for storing our the images we load from disk along with their respective class labels.

From there we grab the paths to our input images followed by shuffling them (Lines 42-44).

Now let’s pre-process the images:

# loop over the input images
for imagePath in imagePaths:
        # load the image, pre-process it, and store it in the data list
        image = cv2.imread(imagePath)
        image = cv2.resize(image, (28, 28))
        image = img_to_array(image)
        data.append(image)

        # extract the class label from the image path and update the
        # labels list
        label = imagePath.split(os.path.sep)[-2]
        label = 1 if label == "santa" else 0
        labels.append(label)

This loop simply loads and resizes each image to a fixed 28×28 pixels (the spatial dimensions required for LeNet), and appends the image array to the

data

list (Lines 49-52) followed by extracting the class

label

from the

imagePath

on Lines 56-58.

We are able to perform this class label extraction since our dataset directory structure is organized in the following fashion:

|--- images
|    |--- not_santa
|    |    |--- 00000000.jpg
|    |    |--- 00000001.jpg
...
|    |    |--- 00000460.jpg
|    |--- santa
|    |    |--- 00000000.jpg
|    |    |--- 00000001.jpg
...
|    |    |--- 00000460.jpg
|--- pyimagesearch
|    |--- __init__.py
|    |--- lenet.py
|    |    |--- __init__.py
|    |    |--- networks
|    |    |    |--- __init__.py
|    |    |    |--- lenet.py
|--- test_network.py
|--- train_network.py

Therefore, an example

imagePath

would be:

images/santa/00000384.jpg

After extracting the

label

from the

imagePath

, the result is:

santa

I prefer organizing deep learning image datasets in this manner as it allows us to efficiently organize our dataset and parse out class labels without having to use a separate index/lookup file.

Next, we’ll scale images and create the training and testing splits:

# scale the raw pixel intensities to the range [0, 1]
data = np.array(data, dtype="float") / 255.0
labels = np.array(labels)

# partition the data into training and testing splits using 75% of
# the data for training and the remaining 25% for testing
(trainX, testX, trainY, testY) = train_test_split(data,
        labels, test_size=0.25, random_state=42)

# convert the labels from integers to vectors
trainY = to_categorical(trainY, num_classes=2)
testY = to_categorical(testY, num_classes=2)

On Line 61 we further pre-process our input data by scaling the data points from [0, 255] (the minimum and maximum RGB values of the image) to the range [0, 1].

We then perform a training/testing split on the data using 75% of the images for training and 25% for testing (Lines 66 and 67). This is a typical split for this amount of data.

We also convert labels to vectors using one-hot encoding — this is handled on Lines 70 and 71.

Subsequently, we’ll perform some data augmentation, enabling us to generate “additional” training data by randomly transforming the input images using the parameters below:

# construct the image generator for data augmentation
aug = ImageDataGenerator(rotation_range=30, width_shift_range=0.1,
        height_shift_range=0.1, shear_range=0.2, zoom_range=0.2,
        horizontal_flip=True, fill_mode="nearest")

Data augmentation is covered in depth in the Practitioner Bundle of my new book, Deep Learning for Computer Vision with Python.

Essentially Lines 74-76 create an image generator object which performs random rotations, shifts, flips, crops, and sheers on our image dataset. This allows us to use a smaller dataset and still achieve high results.

Let’s move on to training our image classifier using deep learning and Keras.

# initialize the model
print("[INFO] compiling model...")
model = LeNet.build(width=28, height=28, depth=3, classes=2)
opt = Adam(lr=INIT_LR, decay=INIT_LR / EPOCHS)
model.compile(loss="binary_crossentropy", optimizer=opt,
        metrics=["accuracy"])

# train the network
print("[INFO] training network...")
H = model.fit_generator(aug.flow(trainX, trainY, batch_size=BS),
        validation_data=(testX, testY), steps_per_epoch=len(trainX) // BS,
        epochs=EPOCHS, verbose=1)

# save the model to disk
print("[INFO] serializing network...")
model.save(args["model"])

We’ve elected to use LeNet for this project for two reasons:

LeNet is a small Convolutional Neural Network that is easy for beginners to understand
We can easily train LeNet on our Santa/Not Santa dataset without having to use a GPU
If you want to study deep learning in more depth (including ResNet, GoogLeNet, SqueezeNet, and others) please take a look at my book, Deep Learning for Computer Vision with Python.

We build our LeNet model along with the

Adam

optimizer on Lines 80-83. Since this is a two-class classification problem we’ll want to use binary cross-entropy as our loss function. If you are performing classification with > 2 classes, be sure to swap out the

loss

for

categorical_crossentropy

.

Training our network is initiated on Lines 87-89 where we call

model.fit_generator

, supplying our data augmentation object, training/testing data, and the number of epochs we wish to train for.

Line 93 handles serializing the model to disk so we later use our image classification without having to retrain it.

Finally, let’s plot the results and see how our deep learning image classifier performed:

# plot the training loss and accuracy
plt.style.use("ggplot")
plt.figure()
N = EPOCHS
plt.plot(np.arange(0, N), H.history["loss"], label="train_loss")
plt.plot(np.arange(0, N), H.history["val_loss"], label="val_loss")
plt.plot(np.arange(0, N), H.history["acc"], label="train_acc")
plt.plot(np.arange(0, N), H.history["val_acc"], label="val_acc")
plt.title("Training Loss and Accuracy on Santa/Not Santa")
plt.xlabel("Epoch #")
plt.ylabel("Loss/Accuracy")
plt.legend(loc="lower left")
plt.savefig(args["plot"])

Using matplotlib, we build our plot and save the plot to disk using the

--plot

command line argument which contains the path + filename.

To train the Not Santa network (after using the “Downloads” section of this blog post to download the code + images), open up a terminal and execute the following command:

$ python train_network.py --dataset images --model santa_not_santa.model
Using TensorFlow backend.
[INFO] loading images...
[INFO] compiling model...
[INFO] training network...
Epoch 1/25
1s - loss: 0.7623 - acc: 0.4926 - val_loss: 0.6342 - val_acc: 0.4978
Epoch 2/25
1s - loss: 0.6022 - acc: 0.6705 - val_loss: 0.4542 - val_acc: 0.8182
Epoch 3/25
1s - loss: 0.4749 - acc: 0.8070 - val_loss: 0.4767 - val_acc: 0.7532
...
Epoch 23/25
1s - loss: 0.1085 - acc: 0.9554 - val_loss: 0.1300 - val_acc: 0.9654
Epoch 24/25
1s - loss: 0.0975 - acc: 0.9553 - val_loss: 0.1225 - val_acc: 0.9654
Epoch 25/25
1s - loss: 0.0798 - acc: 0.9717 - val_loss: 0.1072 - val_acc: 0.9740
[INFO] serializing network...

As you can see, the network trained for 25 epochs and we achieved high accuracy (97.40% testing accuracy) and low loss that follows the training loss, as is apparent from the plot below:

Figure 3: Training our image classifier using deep learning, Keras, and Python.

Evaluating our Convolutional Neural Network image classifier

The next step is to evaluate our Not Santa model on example images not part of the training/testing splits.

Open up a new file, name it

test_network.py

, and let’s get started:

# import the necessary packages
from keras.preprocessing.image import img_to_array
from keras.models import load_model
import numpy as np
import argparse
import imutils
import cv2

On Lines 2-7 we import our required packages. Take special notice of the

load_model

method — this function will enable us to load our serialized Convolutional Neural Network (i.e., the one we just trained in the previous section) from disk.

Next, we’ll parse our command line arguments:

# construct the argument parse and parse the arguments
ap = argparse.ArgumentParser()
ap.add_argument("-m", "--model", required=True,
        help="path to trained model model")
ap.add_argument("-i", "--image", required=True,
        help="path to input image")
args = vars(ap.parse_args())

We require two command line arguments: our

--model

and a input

--image

(i.e., the image we are going to classify).

From there, we’ll load the image and pre-process it:

# load the image
image = cv2.imread(args["image"])
orig = image.copy()

# pre-process the image for classification
image = cv2.resize(image, (28, 28))
image = image.astype("float") / 255.0
image = img_to_array(image)
image = np.expand_dims(image, axis=0)

We load the

image

and make a copy of it on Lines 18 and 19. The copy allows us to later recall the original image and put our label on it.

Lines 22-25 handling scaling our image to the range [0, 1], converting it to an array, and addding an extra dimension (Lines 22-25).

As I explain in my book, Deep Learning for Computer Vision with Python, we train/classify images in batches with CNNs. Adding an extra dimension to the array via

np.expand_dims

allows our image to have the shape

(1, width, height, 3)

, assuming channels last ordering.

If we forget to add the dimension, it will result in an error when we call

model.predict

down the line.

From there we’ll load the Not Santa image classifier model and make a prediction:

# load the trained convolutional neural network
print("[INFO] loading network...")
model = load_model(args["model"])

# classify the input image
(notSanta, santa) = model.predict(image)[0]

This block is pretty self explanatory, but since this is where the heavy lifting of this script is performed, let’s take a second and understand what’s going on under the hood.

We load the Not Santa model on Line 29 followed by making a prediction on Line 32.

And finally, we’ll use our prediction to draw on the

orig

image copy and display it to the screen:

# build the label
label = "Santa" if santa > notSanta else "Not Santa"
proba = santa if santa > notSanta else notSanta
label = "{}: {:.2f}%".format(label, proba * 100)

# draw the label on the image
output = imutils.resize(orig, width=400)
cv2.putText(output, label, (10, 25),  cv2.FONT_HERSHEY_SIMPLEX,
        0.7, (0, 255, 0), 2)

# show the output image
cv2.imshow("Output", output)
cv2.waitKey(0)

We build the label (either “Santa” or “Not Santa”) on Line 35 and then choose the corresponding probability value on Line 36.

The

label

and

proba

are used on Line 37 to build the label text to show at the image as you’ll see in the top left corner of the output images below.

We resize the images to a standard width to ensure it will fit on our screen, and then put the label text on the image (Lines 40-42).

Finally, on Lines 45, we display the output image until a key has been pressed (Line 46).

Let’s give our Not Santa deep learning network a try:

$ python test_network.py --model santa_not_santa.model \
        --image images/examples/santa_01.png

Figure 4: Santa has been detected with 98% confidence using our Keras image classifer.

By golly! Our software thinks it is good ole’ St. Nick, so it really must be him!

Let’s try another image:

$ python test_network.py --model santa_not_santa.model \
        --image images/examples/santa_02.png

Figure 5: Using a Convolutional Neural Network, Keras, and Python to perform image classification.

Santa is correctly detected by the Not Santa detector and it looks like he’s happy to be delivering some toys!

Now, let’s perform image classification on an image that does not contain Santa:

$ python test_network.py --model santa_not_santa.model \
        --image images/examples/manhattan.png

Figure 6: Image classification with deep learning.

It looks like it’s too bright out for Santa to be flying through the sky and delivering presents in this part of the world yet (New York City) — he must still be in Europe at this time where night has fallen.

Speaking of the night and Christmas Eve, here is an image of a cold night sky:

$ python test_network.py --model santa_not_santa.model \
        --image images/examples/night_sky.png

Figure 7: Santa isn’t present in this part of the Christmas Eve sky, but he’s out there somewhere.

But it must be too early for St. Nicholas. He’s not in the above image either.

But don’t worry!

As I’ll show next week, we’ll be able to detect him sneaking down the chimney and delivering presents with a Raspberry Pi.

Limitations of our deep learning image classification model

There are a number of limitations to our image classifier.

The first one is that the 28×28 pixel images are quite small (the LeNet architecture was originally designed to recognize handwritten digits, not objects in photos).

For some example images (where Santa is already small), resizing the input image down to 28×28 pixels effectively reduces Santa down to a tiny red/white blob that is only 2-3 pixels in size.

In these types of situations it’s likely that our LeNet model is just predicting when there is a significant amount of red and white localized together in our input image (and likely green as well, as red, green, and white are Christmas colors).

State-of-the-art Convolutional Neural Networks normally accept images that are 200-300 pixels along their maximum dimension — these larger images would help us build a more robust Not Santa classifier. However, using larger resolution images would also require us to utilize a deeper network architecture, which in turn would mean that we need to gather additional training data and utilize a more computationally expensive training process.

This is certainly a possibility, but is also outside the scope of this blog post.

Therefore, If you want to improve our Not Santa app I would suggest you:

Gather additional training data (ideally, 5,000+ example “Santa” images).
Utilize higher resolution images during training. I imagine 64×64 pixels would produce higher accuracy. 128×128 pixels would likely be ideal (although I have not tried this).
Use a deeper network architecture during training.
Read through my book, Deep Learning for Computer Vision with Python, where I discuss training Convolutional Neural Networks on your own custom datasets in more detail.

Despite these limitations I was incredibly surprised with how well the Not Santa app performed (as I’ll discuss next week). I was expecting a decent number of false-positives but the network was surprisingly robust given how small it is.

Summary

In today’s blog post you learned how to train the seminal LeNet architecture on a series of images containing “Santa” and “Not Santa”, with our end goal being to build an app similar to HBO’s Silicon Valley Not Hotdog application.

We were able to gather our “Santa” dataset (~460 images) by following our previous post on gathering deep learning images via Google Images.

The “Not Santa” dataset was created by sampling the UKBench dataset (where no images contain Santa).

We then evaluated our network on a series of testing images — in each case our Not Santa model correctly classified the input image.

In our next blog post we’ll deploy our trained Convolutional Neural Network to the Raspberry Pi to finish building our Not Santa app.

What now?

Now that you’ve learned how to train your first Convolutional Neural Network, I’m willing to bet that you’re interested in:

Mastering the fundamentals of machine learning and neural networks
Studying deep learning in more detail
Training your own Convolutional Neural Networks from scratch

If so, you’ll want to take a look at my new book, Deep Learning for Computer Vision with Python.

Inside the book you’ll find:

Super-practical walkthroughs
Hands-on tutorials (with lots of code)
Detailed, thorough guides to help you replicate state-of-the-art results from seminal deep learning publications.

To learn more about my new book (and start your journey to deep learning mastery), just click here.

Otherwise, be sure to enter your email address in the form below to be notified when new deep learning posts are published here on PyImageSearch.

Downloads:

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Image classification with Keras and deep learning

Our “Santa” and “Not Santa” dataset

Your first image classifier with Convolutional Neural Networks and Keras

Training our Convolutional Neural Network image classifier with Keras

Evaluating our Convolutional Neural Network image classifier

Limitations of our deep learning image classification model

Summary

What now?

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