Una moza falle yo (Anonymous)

Una moza falle yo (Anonymous). First Publication, 1502 in Canti B (No.26). Genre Categories, Songs; For 4 voices; For unaccompanied voices; ...

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Anonymous Anonymous

Profil of Anonymous. ... Anonymous. informations. Lang : fr; Status : Visitor; Posts count : 0; ChatBox : 0. © 2010 - 2017. Root Me : Hacking and ...

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Ravens: Justin Tucker in concussion protocol after taking hit on kickoff (ESPN)

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▶ Tim Beckham sends 3-run blast over Green Monster in 7-0 win at Red Sox (ESPN)

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Review of Anonymous Beach Hotel, Ayia Napa, Cyprus

Anonymous Beach Hotel: Good location, clean hotel. - See 253 traveler reviews, 279 candid photos, and great deals for Anonymous Beach Hotel at ...

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Overeaters anonymous chips

You do NOT have to register to ATTEND any OA meeting. lot of overeaters anonymous key tags . Corn, edamame, HOW-Overeaters Anonymous ...

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Best anonymous file sharing

Best anonymous file sharing. Till date whenever we think of sending files to clients or. No files shared! To share files use the 'Add files' button above or ...

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Alcoholics anonymous rochester ny

Alcoholics anonymous rochester ny. facebook. Do you need to Contact Us: 1000 Elmwood Avenue, Greenhouse Rochester, New York 14620AA ...

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Anonymous Single-Round Server-Aided Verification

Anonymous Single-Round Server-Aided Verification. Elena Pagnin1, Aikaterini Mitrokotsa1, and Keisuke Tanaka2. 1 Chalmers University of ...

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Ravens: Brandon Williams has become team's Incredible Hulk - Jamison Hensley (ESPN)

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I have a new follower on Twitter

Due
We make it easy to get paid online. Our customers love how we make payments easier, faster and smoother. Support = @DueSupport
Palo Alto, CA
https://t.co/1sOz39spg8
Following: 111623 - Followers: 128858

August 25, 2017 at 01:31PM via Twitter http://twitter.com/due

📷 Here's the full list of nickname jerseys Orioles players are wearing for MLB Players Weekend (ESPN)

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author name for anonymous

I am asked to investigate the possibility to change the authorname 'anonymous' of the anonymous published content to the name the anonymous ...

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Flix Anonymous - Episode 39 - CKNW Original Podcasts

This is the lull in the cinematic season, but nothing slows Trevor and Steve down. This week they are excited to talk about a new Robert Pattinson film ...

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Anonymous As Told To Dayna Evans

View an archive of articles by Anonymous As Told To Dayna Evans for New York Magazine.

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ISS Daily Summary Report – 8/24/2017

Miniature Exercise Device (MED-2):  The crew set up cameras in Node 3 and Cupola to capture video from multiple views of the Advanced Resistive Exercise Device (ARED) and MED-2 hardware, applied body markers, performed exercises and transferred video for downlink.  The microgravity environment of space weakens muscle and bone, so orbiting crew members spend significant amounts of time exercising with equipment that is large and bulky.  MED-2 aims to demonstrate that small robotic actuators can provide motion and resistance for crew workout sessions during long-duration space missions with exercise equipment that is smaller in size and mass that equipment currently being used on the ISS. ADvanced Space Experiment Processor (ADSEP):  The crew will removed Cell Culturing (CellCult) cassettes from ADSEP, inserted cells into each cassette and reinserted them into ADSEP.  ADSEP is a thermally controlled facility that accommodates up to three cassette-based experiments that can be independently operated.  A collection of experiment cassettes are used to accommodate experiments in cell technology, multiphase fluids, solution chemistry, separation science, microencapsulation, and crystal growth.  For CellCult investigations, each cassette contains a rotating filtered bioreactor, a reservoir for fresh media, two peristaltic pumps, a waste reservoir, and up to 6 sample-collection or reagent containers connected by a manifold to the reactor. Cultures can be operated in continuous perfusion, batch fed, static, or sampling modes.  The removal of samples and the addition of additives to the reactor volume can be programmed or teleoperated. Microbial Tracking-2 (MT-2):  The crew collected saliva samples for the Microbial Tracking-2 investigation and placed them in a Minus Eighty Degree Celsius Laboratory Freezer for ISS (MELFI).  After the samples are returned to Earth, a molecular analysis of the RNA and DNA will be conducted to identify the specific microbes that are present on ISS.  MT-2 monitors the different types of microbes on ISS over a 1-year period and how they change over time.   Vascular Echo Ultrasound:  With guidance from a ground expert, a crewmember performed an ultrasound of the femoral artery on their right leg after a one minute light leg exercise. The Canadian Space Agency (CSA) Vascular Echo investigation examines changes in blood vessels and the heart while the crew members are in space, and then upon their return to Earth. The results could provide insight into potential countermeasures to help maintain crew member health.  Agenzia Spaziale Italiana (ASI) Biomission:  The crew deinstalled Biomission experiment containers from the Kubik 5 facility in the Columbus module, completing the fifth run.  Each of the containers will be placed into a Minus Eighty Degree Celsius Laboratory Freezer for ISS (MELFI) in order to preserve the scientific samples.  Kubik 5 supports Biomission investigations by providing a small controlled-temperature incubator / cooler for the study of biological samples in a microgravity environment.  Kubik is equipped with removable inserts designed for self-contained, automatic experiments using seeds, cells, and small animals. Lighting Effects: This morning a crewmember provided a sleep log entry for the Lighting Effects investigation. The light bulbs on the ISS are being replaced with a new system designed for improved crew health and wellness. Fluorescent bulbs are being replaced with solid-state light-emitting diodes (LEDs) that have adjustable intensity and color. Investigators will determine if the new lights improve crew circadian rhythms, sleep, and cognitive performance. Results from this investigation also have implications for people on Earth who use electric lights.  Today’s Planned Activities All activities were completed unless otherwise noted. Lighting Effects Sleep Log Entry – Subject Columbus Circadian Rhythms items repack Video for episode 5 of “Space Yura and Nura” cartoon DUBRAVA. Observation and photography using Photo Equipment Preparation of Reports for Roscosmos web site and social media Recording Greetings Video ECON-M. Observation and photography Regenerative Environmental Control and Life Support System (ECLSS) Recycle Tank Drain Miniature Exercise Device Hardware Gather Terminate discharge of the 3rd Orlan 825М Battery Pack (Stow in spares kit ФГБ1ПГО_2_221_1) Soyuz 735 Angular Rate Integration Unit (БИУС) telemetry setup JEM System Laptop Terminal Reboot Regenerative Environmental Control and Life Support System (ECLSS) Recycle Tank Drain Part 2 Teardown of charger [ЗУ-С] setup, start Miniature Exercise Device ARED Session 1st Crew Bone Densitometer Express Rack Relocation JEM Camera Robot Activation On MCC GO Demating TLM connectors from ЗУ-С Health Maintenance System (HMS) OCT Setup JEM Camera Robot Shooting Teardown of battery charger [ЗУ-С] setup, end Hardware prepack for return and disposal on Soyuz 735 Miniature Exercise Device ARED Session 2nd Crew JEM Camera Robot Deactivation Temperature and Humidity Control (THC) Intermodule Ventilation (IMV) Flow Measurement Survey Regenerative Environmental Control and Life Support System (RGN) Wastewater Storage Tank Assembly (WSTA) Fill DAN. Experiment Session Health Maintenance System (HMS) – OCT Exam PROBIOVIT. Insertion of Probiotic kit No.1 in Glovebox-S and turning the light on Health Maintenance System (HMS) OCT Stow Regenerative Environmental Control and Life Support System (RGN) Wastewater Storage Tank Assembly (WSTA) Fill Crew Departure Preparations for Return to Earth PROBIOVIT. Filling Kit No. 1 Water container from СРВК In Flight Maintenance (IFM) Waste and Hygiene Compartment (WHC) Full Fill Space Technology and Advanced Research Systems Locker Installation PROBIOVIT. Photography of water filling of the container from [СРВК] PROBIOVIT. Filling Kit No. 1 Product container in Glovebox-S PROBIOVIT. Photography during filling in the Glovebox In Flight Maintenance (IFM) Waste and Hygiene Compartment (WHC) Full Fill PROBIOVIT. Kite retrieval from Glovebox-S, Probiotic No.1 kit transfer and setup in ТБУ-В No.02 at +37 deg C / Verification of ИП-1 Flow Sensor Position ADSEP MELFI Removal #3 Crew Departure Preparations for Return to Earth Regenerative Environmental Control and Life Support System (RGN) Wastewater Storage Tank Assembly (WSTA) Fill Advanced Space Experiment Processor Cell Collection Filling (separation) of ЕДВ (КОВ) for Elektron or ЕДВ-СВ. Fill ЕДВ-КОВ cover No.1201 (00068432R, ФГБ1ПГО_1_110) from ЕДВ cover No.1296 (00071688R, СМ1ПрК) Vascular Echo Exercise PDOP Measurement PROBIOVIT. Setup of Probiotic kit No.2 in Glovebox-S Regenerative Environmental Control and Life Support System (ECLSS) Recycle Tank Fill Part 3 Environmental Health System (EHS) Grab Sample Container (GSC) Sampling Operations PROBIOVIT. Filling Kit No.2 Water container from [СРВК] PROBIOVIT. Filling […]

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I have a new follower on Twitter

TCG Network Services
A recognized leader in New England for dynamic #ITConsulting and #ManagedServices for small and mid-sized businesses.
Natick, MA
http://t.co/cTwRWDNVcS
Following: 2866 - Followers: 2770

August 25, 2017 at 07:35AM via Twitter http://twitter.com/TCGNetworks

I have a new follower on Twitter

Chloe Turner



Following: 99 - Followers: 9

August 25, 2017 at 07:35AM via Twitter http://twitter.com/KHssvCXdLbGdhnp

Easy-to-Use Apps Allow Anyone to Create Android Ransomware Within Seconds

"Ransomware" threat is on the rise, and cyber criminals are making millions of dollars by victimizing as many people as they can—with WannaCry, NotPetya and LeakerLocker being the ransomware threats that made headlines recently. What's BAD? Hacker even started selling ransomware-as-a-service (RaaS) kits in an attempt to spread this creepy threat more easily, so that even a non-tech user can

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[FD] Trend Micro Hosted Email Security (HES) - Email Interception and Direct Object Reference

Date: 24-Aug-2017 Product: Trend Micro Hosted Email Security (HES) Versions affected: Hosted Email Security before January 2012. Vulnerability: Two vulnerabilities were discovered. The first allowed any HES user to intercept in-transit emails through the Trend Micro Hosted Email Security cloud environment. The platform allowed anyone to register an account online instantly and test the solution. Users were required to 'activate' (enter) a domain name, then update their MX records to enable filtering. However, to enable migration testing, rules became active immediately without waiting for MX records to be updated. This was intended, however the HES environment itself was shared across all customers - therefore anyone could create a policy for a domain which wasn't theirs or a pre-existing customers and start intercepting, modifying / rewriting content, BCC copying emails, quarantining or deleting messages which came from@domain.com or to@jackeddomain.com if passed through HES. Reproduction steps: 1) Register a free Trend Micro HES account. 2) Activate a domain name you want to filter - be creative (gmail.com, mac.com, apple.com, microsoft.com, ibm.com, plus banks / military / large ISPs / government domains worked exceptionally well!) 3) While the domain has not been valid, create a new policy rule, e.g. "BCC all messages" to your personal email address. 4) Watch your inbox run out of disk space. Interception revealed Sender, Recipient, Subject and in some cases entire email contents with attachments if applicable. Email Interception Statistics ### 7,000 emails in 3 hours. 21,000 emails in 13 hours. 78,500 emails in 24 hours. 96,000 emails in 30 hours. 1,221,535 emails in 8 days. ### The second vulnerability allowed any HES authenticated customer to view or change other cloud user's rules via Direct Object Reference. E.g. http://ift.tt/2wIZ237 http://ift.tt/2vj34fd http://ift.tt/2wIXOoH etc Credit: Discovered by Patrick Webster Disclosure timeline: 09-Dec-2011 - Interception issue discovered during testing. Reported to vendor. 10-Dec-2011 - Developers investigating interception report. 11-Dec-2011 - Direct object policy rule access / edit discovered and reported to vendor. 12-Dec-2011 - Vulnerabilities confirmed. 16-Dec-2011 - Direct object policy rule issue fixed in production. 23-Dec-2011 - Interception fix pushed to production environment. 27-Dec-2011 - Final intercepted email received (numbering several million). 28-Dec-2011 - Delivery Status Notification success/failures continue to be received. 11-Jan-2012 - Delivery Status Notification fix pushed to production. Last DSN received. 24-Aug-2017 - Public disclosure for historical purposes as an example of early cloud adoption issues facing the industry. About OSI Security: OSI Security is an IT security consulting company based in Sydney, Australia. We provide managed internal and external penetration testing and ethical hacking services, web application testing, vulnerability assessments, wireless site audits, vendor product assessments, secure network design, forensics and risk mitigation services. We can be found at http://ift.tt/2vjixM6

Source: Gmail -> IFTTT-> Blogger

FBI Arrests Another Hacker Who Visited United States to Attend a Conference

The FBI has arrested a Chinese citizen for allegedly distributing malware used in the 2015 massive OPM breach that resulted in the theft of personal details of more than 25 Million U.S. federal employees, including 5.6 Million federal officials' fingerprints. Yu Pingan, identified by the agency as the pseudonym "GoldSun," was arrested at Los Angeles international airport on Wednesday when he was

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Diamond Ring in a Cloudy Sky

As the Moon's shadow swept across the US on August 21, eclipse chasers in the narrow path of totality were treated to a diamond ring in the sky. At the beginning and end of totality, the fleeting and beautiful effect often produces audible gasps from an amazed audience. It occurs just before or after the appearance of the faint solar corona with a brief ring of light and glimpse of Sun. In this scene from the end of totality at Central, South Carolina, clouds drift near the Sun's diamond ring in the sky. via NASA http://ift.tt/2iukDqO

Anonymous - Executive Chef

Exciting opportunity to help shape Greater Boston's next hot dining scene. Local restaurant group seeks an executive chef to oversee two concepts in ...

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An anonymous psych patient is now acclaimed as a master artist of the immigrant experience

A Mexican immigrant who was institutionalized in mental hospitals in Northern California for more than 30 years is now considered by some critics to ...

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Anonymous hacker steals NHS data

A hacker, who is allegedly associated with Anonymous, claims to have exploited vulnerabilities in swiftQueue's software, allowing them to steal a ...

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Ravens: John Harbaugh defers to Bill Belichick's comments on pressure, "there's stress every week" (ESPN)

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Runtime errors are anonymous unless there is a console

If I dont have the console open all I can see is a message saying a breakpoint has been reached. So then I have no idea what the problem actually is.

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Anonymous user 5d44d1

Name, Anonymous user 5d44d1. User since, August 15, 2017. Number of add-ons developed, 1 theme. Average rating of developer's add-ons, Not ...

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Beware of Windows/MacOS/Linux Virus Spreading Through Facebook Messenger

If you came across any Facebook message with a video link sent by anyone, even your friend — just don’t click on it. Security researchers at Kaspersky Lab have spotted an ongoing cross-platform campaign on Facebook Messenger, where users receive a video link that redirects them to a fake website, luring them to install malicious software. Although it is still unclear how the malware spreads

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ISS Daily Summary Report – 8/23/2017

Multi-Omics-Mouse: The crew performed routine maintenance on the Multi-Omics-Mouse Cage Units that are being maintained in microgravity, exchanging waste collection equipment and odor filters. Several studies have reported space flight effects on the human immune system, but the relationship between microbiota and immune dysfunction during flight remains unclear. In the Multi-Omics-Mouse investigation, food with and without fructooligosaccharides (FOS) will be used as prebiotics, to determine if they improve the gut environment and immune function.  After the flight, researchers will analyze the gut environment (microbiota and metabolites) and immune system of the mice by multi-omics analysis.  Cool Flames Investigation: The crew replaced Multi-user Droplet Combustion Apparatus (MDCA) Fuel Reservoir in support of continued operations for the Cool Flames investigation.  Cool Flames provides new insight into the phenomenon where some types of fuels initially burn very hot, then appear to go out, but they continue burning at a much lower temperature, with no visible flames (cool flames). Understanding cool flame combustion helps scientists develop new engines and fuels that are more efficient and less harmful to the environment. SSRMS LEE A Unable to Latch to MBS Base 3:  Robotics operations Tuesday evening were scheduled to include an MT Translate, an SSRMS Walkoff to MBS Base 3, and an SPDM Unstow in preparation for the P12B_B RPCM R&R that was scheduled for Wednesday evening.  During the SSRMS Walkoff, ROBO was unable to latch LEE A to MBS Base 3.  High motor currents were observed as the latches on the LEE were being driven. The SSRMS is currently in a safe configuration with LEE B grappled to the Node 2 PDGF.  The SPDM is still stowed. The Robotics team is in agreement to stand down on operations until a FIT is convened to discuss the LEE latch motor current data in more detail.  It should be noted the LEE A latches are not required to support a Dragon release.  As a result of the inability to complete Tuesday evening’s planned operations, the RPCM R&R scheduled for Wednesday evening has been postponed.  On-Board Training (OBT) Medical Emergency: The 51S crew reviewed medical emergency procedures and rescuer roles during a medical event requiring Cardiopulmonary Resuscitation (CPR) including emergency medical hardware configuration and determine desired deployed locations. During the training they covered crew communication and coordination of care.  Treadmill 2 (T2) Status: Yesterday the crew reported a clicking noise emanating from T2 that had not been heard previously.  The crew took video and audio which were downlinked for ground team evaluation and T2 was declared no-go for exercise. Video and audio revealed no obvious sources so the crew was directed to perform T2 annual maintenance. Again, no sources were identified so the crew was given a go to use T2 but to monitor performance and report any further clicking noises. Today’s Planned Activities All activities were completed unless otherwise noted. 50S & 51S Samsung Tablet Battery Status Check and Recharge (if it is less than 80% charged) Aquapad Double Water Sampling KUBIK Functional check Combustion Integrated Rack Front End Cap Close/Open Combustion Integrated Rack Manifold Bottle Replacement Combustion Integrated Rack Doors Close/Open Countermeasures System (CMS) Advanced Resistive Exercise Device (ARED) Cylinder Flywheel Evacuation T2 Activation and Checkout (ACO) Treadmill  2 (T2) Yearly AND 6-MONTH MAINTENANCE plus Inspections Environmental Health System (EHS) Coliform Water Processing Environmental Health System (EHS) Potable Water Dispenser (PWD) Sample Collect Environmental Health System (EHS) Total Organic Carbon Analyzer (TOCA) Potable Water Dispenser (PWD) Sample Analysis Environmental Health System (EHS) Total Organic Carbon Analyzer (TOCA) Sample Data Record Environmental Health System (EHS) Total Organic Carbon Analyzer (TOCA) Waste Water Bag (WWB) Changeout In Situ message recording KUBIK ASI Biomission message Downlink and stowage EPO items unstow and camera setup Food Acceptability Questionnaire – Subject Handover Feedback Questions Ultrasound 2 Guided Data Export Health Maintenance System (HMS) Ultrasound 2 Scan Prep Health Maintenance System (HMS) Ultrasound 2 Post Exam Ultrasound 2 HRF Rack 2 Power On Health Maintenance System (HMS) Ultrasound 2 Scan performed by a Crew Medical Officer (CMO) Health Maintenance System (HMS) Ultrasound 2 Scan Lighting Effects Sleep Log Entry – Subject Multi-user Droplet Combustion Apparatus One Fuel Reservoir Replacement Multi-Omics-Mouse CBEF A3 Cage Install Multi-Omics-Mouse CBEF A3 Cage Removal Multi-Omics-Mouse Water Gel Removal from A3 cage Multi-Omics-Mouse Cage Maintenance for Water A3 Cage Multi-Omics-Mouse Cage Cleaning and Maintenance for Food Micro-G first part 1 & 2 Multi-Omics-Mouse Item Gathering NeuroMapping Experiment Neurocognitive Test – Subject [Failed] On Board Training (OBT) International Space Station (ISS) Crew Health Care System (CHeCS) Drill CHeCS. Medical Contingency Drill On Board Training (OBT) International Space Station (ISS) Crew Health Care System (CHeCS) Drill Photo/TV Treadmill 2 (T2) Activation and Checkout (ACO) Video Setup & Teardown Surface Tension Containment MWA Assist Surface Tension Containment MWA Operations Surface Tension Containment MWA Preparation Ultrasound 2 HRF Rack 1 To HRF Rack 2 Transfer 1.0 CTB J0026 Wanted XF305 Camcorder Setup PROBIOVIT. Glovebox-S hardware prep. PROBIOVIT. ТБУ-В No.2 installation and activation at + 37 deg С setting. Video for episode 5 of “Space Yura and Nura” cartoon End discharge of the 2nd Orlan Battery Pack 825М3 (stow in ФГБ1ПГО_2_221_1) and start discharge of the 3rd  Battery Pack No.1265131133 (00070928R) Post-EVA SM ПхО and DC1 reconfig to nominal Preventive Maintenance of SM АСП-О and Progress 436 ACA hatch Sealing Mechanisms after the RS EVA Vacuum Cleaning area behind MRM1 panels 405, 406 MRM1 СКПФ1, СКПФ2 Dust Filter Replacement (ФГБ1ПГО_2_224_1, bag 436-26 (00071452R). Discard de-installed items. Reflect changes in IMS) Photography of Plume Impingement and Deposit Monitoring Unit [БКДО] position on MRM2 from SM window No.13 Photography of Plume Impingement and Deposit Monitoring Unit [БКДО] position on MRM2 from SM window No.13, Closeout Ops Photography of Plume Impingement and Deposit Monitoring Unit [БКДО] position on MRM2 from SM window No.13, Preparation BIOKARD. Performing experiment (assist) BIOCARD. Experiment Ops. Hematocrit Test Measuring Hematocrit Number. Hematocrit Test Hematocrit Hardware Stowage Photography of the БД-2 treadmill belt edge and screen form of Belt tab Preparation of Reports for Roscosmos web site and social media Terminate […]

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I have a new follower on Twitter

The Bodhi Seed
Unique one-of-a-kind art, jewelry and handmade gifts made by artist @LisaKSalerno | Facebook: https://t.co/w066dakutV Instagram:@TheBodhiSeed
Greater Boston
https://t.co/ikXeBEQYr9
Following: 4122 - Followers: 4105

August 24, 2017 at 08:20AM via Twitter http://twitter.com/The_BodhiSeed

Here's How CIA Spies On Its Intelligence Liaison Partners Around the World

WikiLeaks has just published another Vault 7 leak, revealing how the CIA spies on their intelligence partners around the world, including FBI, DHS and the NSA, to covertly collect data from their systems. The CIA offers a biometric collection system—with predefined hardware, operating system, and software—to its intelligence liaison partners around the world that helps them voluntary share

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I have a new follower on Twitter

Marc R Gagné MAPP 🌐
Senior Privacy and Data Advocate, Cyber Intelligence and Director @ Gagne Legal, Director @PACC_CCAP #Privacy #Fintech #Finserv #DataScience #CyberSecurity
Ottawa, Ontario
https://t.co/anwRZTE7nd
Following: 15494 - Followers: 56192

August 24, 2017 at 05:05AM via Twitter http://twitter.com/OttLegalRebels

8th Street, Ocean City, MD's surf is at least 5.19ft high

Maryland-Delaware, August 30, 2017 at 04:00AM

8th Street, Ocean City, MD Summary
At 4:00 AM, surf min of 5.19ft. At 10:00 AM, surf min of 5.38ft. At 4:00 PM, surf min of 3.86ft. At 10:00 PM, surf min of 3.05ft.

Surf maximum: 6.18ft (1.88m)
Surf minimum: 5.19ft (1.58m)
Tide height: 2.5ft (0.76m)
Wind direction: ENE
Wind speed: 11.06 KTS


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A Company Offers $500,000 For Secure Messaging Apps Zero-Day Exploits

How much does your privacy cost? It will soon be sold for half a Million US dollars. A controversial company specialises in acquiring and reselling zero-day exploits is ready to pay up to US$500,000 for working zero-day vulnerabilities targeting popular secure messenger applications, such as Signal, Telegram and WhatsApp. Zerodium announced a new pricing structure on Wednesday, paying out $

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UK: Anonymous hacker says they stole 1.2 million NHS patients' data

An unknown hacker who says they are associated with Anonymous claims to have exploited unpatched software vulnerabilities in swiftQueue's ...

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Anonymous Crafter

Tinkercad user Anonymous Crafter. Meh. ... Anonymous Crafter's Things. Plant Holder. Anonymous Crafter a few seconds ago. Public. Get started with ...

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Hadrian Belove Resigns From Cinefamily After Anonymous Email Alleges Sexual Harassment

The anonymous email, which went to hundreds of members of the independent film community and the media, said Belove “has been accused of ...

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The Eagle and The Swan

The Eagle Nebula and the Swan Nebula span this broad starscape, a telescopic view toward the Sagittarius spiral arm and the center of our Milky Way galaxy. The Eagle, also known as M16, is at top and M17, the Swan, at bottom of the frame showing the cosmic clouds as brighter regions of active star-formation. They lie along the spiral arm suffused with reddish emission charactistic of atomic hydrogen gas, and dusty dark nebulae. M17, also called the Omega Nebula, is about 5500 light-years away, while M16 is some 6500 light-years distant. The center of both nebulae are locations of well-known close-up images of star formation from the Hubble Space Telescope. In this mosaic image that extends about 3 degrees across the sky, narrowband, high-resultion image data has been used to enhance the central regions of the Eagle and Swan. The extended wings of the Eagle Nebula spread almost 120 light-years. The Swan is over 30 light-years across. via NASA http://ift.tt/2wnvqbS

8th Street, Ocean City, MD's surf is at least 6.19ft high

Maryland-Delaware, August 29, 2017 at 10:00PM

8th Street, Ocean City, MD Summary
At 4:00 AM, surf min of 5.43ft. At 10:00 AM, surf min of 5.88ft. At 4:00 PM, surf min of 5.86ft. At 10:00 PM, surf min of 6.19ft.

Surf maximum: 6.53ft (1.99m)
Surf minimum: 6.19ft (1.89m)
Tide height: 1.24ft (0.38m)
Wind direction: ENE
Wind speed: 9.86 KTS


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▶ Manny Machado sends fans home happy with walk-off HR for 8-7 win over A's (ESPN)

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Orioles: Zach Britton blows save vs. A's, ending AL-record streak of 60 straight chances converted (ESPN)

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Narcotics Anonymous

This meeting is held every Wednesday (unless otherwise noted on the UCF calendar) from 7pm to 8pm on the UCF Main Campus inside the Barbara ...

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Ravens: OC Marty Mornhinweg gives vague answer when asked when Joe Flacco will return (ESPN)

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Anonymous coaches pick college basketball's best players Gallery Slides

College coaches pick the best player in the nation for the 2017-18 season.

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Sarahah is the latest anonymous app under fire

NEW YORK (CNNMoney) - Yik Yak. Whisper. Secret. Now, Sarahah. In the world of anonymous apps, things never stay nice for long. Sarahah is ...

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The Pirate Bay Founders Ordered to Pay Music Labels $477,800 in Compensation

Two of the three co-founders of The Pirate Bay—Fredrik Neij and Gottfrid Svartholm Warg—have been ordered by a Finnish court to pay record labels $477,800 in compensation for copyright infringement on the site. Last year in a similar case, Helsinki District Court in Finland ordered Peter Sunde, the third co-founder of The Pirate Bay, to pay nearly $395,000 (350,000 Euros) in damages to

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Ravens: Patrick Ricard looking to become NFL's sixth two-way player of past decade - Jamison Hensley (ESPN)

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ISS Daily Summary Report – 8/22/2017

CREAM (Cosmic Ray Energetics and Mass):  Last night the CREAM external payload was removed from the SpX-12 trunk by the Space Station Remote Manipulator System (SSRMS) and handed off to the Japanese Experiment Module Remote Manipulator System (JEMRMS), which then installed it on Exposed Facility Unit-2 (EFU-2) on the JEM Exposed Facility (JEF).  Ground controllers then commanded activation of the CREAM payload.  CREAM’s instruments measure the charges of cosmic rays over a broad energy range for a planned three years of operation on the ISS.  The origins of cosmic rays and the mechanisms that accelerate them to high speeds are among the oldest questions in modern astrophysics.  Results from CREAM are expected to bring the science community closer to answering those questions and build a stronger understanding of the fundamental structure of the universe. Cardio Ox Ultrasound:  A 50S crewmember completed their Return minus 15 Day (R-15) ultrasound, blood pressure and Electrocardiogram (ECG) measurements for the Cardio Ox investigation.  Another crewmember provided scanning assistance after the subject crewmember donned the ECG electrodes and marked the carotid and brachial arteries for scanning.  By collecting ultrasound and ECG data, along with blood and urine samples, scientists are trying to determine whether biological markers of oxidative and inflammatory stress are elevated during and after space flight and whether this results in an increased, long-term risk of atherosclerosis in astronauts.  ADvanced Space Experiment Processor (ADSEP):  The crew removed Cell Culturing (CellCult) cassettes from ADSEP, inserted cells into each cassette and reinserted them into ADSEP.  ADSEP is a thermally controlled facility that accommodates up to three cassette-based experiments that can be independently operated. Its companion hardware consists of a collection of several experiment cassettes that accommodate experiments in cell technology, model organisms, multiphase fluids, solution chemistry, separation science, microencapsulation, and crystal growth.  For CellCult investigations, each cassette contains a rotating filtered bioreactor, a reservoir for fresh media, two peristaltic pumps, a waste reservoir, and up to 6 sample-collection or reagent containers connected by a manifold to the reactor. Cultures can be operated in continuous perfusion, batch fed, static, or sampling mode.  The removal of samples and the addition of additives to the reactor volume can be programmed or teleoperated.  Multi-Omics-Mouse: The crew performed routine maintenance for the Multi-Omics-Mouse Cage Units, exchanging waste collection equipment and odor filters.  Several studies have reported space flight effects on the human immune system, but the relationship between microbiota and immune dysfunction during flight remains unclear. In the Multi-Omics-Mouse investigation, food with and without fructooligosaccharides (FOS) will be used as prebiotics, to determine if they improve the gut environment and immune function.  After the flight, researchers will analyze the gut environment (microbiota and metabolites) and immune system of the mice by multi-omics analysis. Bigelow Expandable Activity Module (BEAM):  The crew ingressed BEAM and collecteded air and surface microbial samples.  BEAM is an experimental expandable module attached to the ISS.  Expandable modules weigh less and take up less room on a rocket than a traditional module, while providing additional space on-orbit for living and working. Crews traveling to the moon, Mars, asteroids, or other destinations may be able to use them as habitable structures. Treadmill 2 (T2): This afternoon the crew reported a clicking noise emanating from T2 that had not been heard previously.  The crew took video and audio which were downlinked for ground team evaluation. T2 is currently no-go for exercise. Today’s Planned Activities All activities were completed unless otherwise noted. Advanced Space Experiment Processor Cell Collection On-Board Training Advanced Space Experiment Processor Cell Collection ADSEP MELFI Sample Insertion #1 ADSEP MELFI Removal #2 AQUAPAD Training KUBIK Functional check BEAM Cleanup and Egress BEAM Ingress Bigelow Expandable Activity Module (BEAM) Node 3 Aft Stow/Unstow Cardio Ox CDL Holter Arterial BP Hardware Doff – Subject Cardio Ox CDL Holter Arterial BP Measurement – Subject Cardio Ox Ultrasound Preparation Cardio Ox Ultrasound Scan – Operator Cardio Ox Ultrasound Scan – Subject Combustion Integrated Rack Alignment Guide Install ARED Platform Fold ARED Platform Unfold Back to Nominal Position Crew Departure Preparations for Return to Earth Environmental Health System (EHS) – Microbial Air Sampler (MAS) Kit Sample Collection Environmental Health System (EHS) – Surface Sample Kit (SSK) Collection/Incubation Environmental Health System (EHS) Total Organic Carbon Analyzer (TOCA) Water Recovery System (WRS) Sample Analysis Environmental Health System (EHS) Total Organic Carbon Analyzer (TOCA) Sample Data Record Extravehicular Mobility Unit (EMU) Post Scrub Cooling Loop Water (H2O) Sample Stow Syringes used in H2O Conductivity Test Extravehicular Mobility Unit (EMU) Conductivity Test EVA Extravehicular Mobility Unit (EMU) Cooling Loop Scrub Deconfiguration Extravehicular Mobility Unit (EMU) Cooling Loop Maintenance Scrub Initiation Extravehicular Mobility Unit (EMU) Cooling Loop Maintenance Iodination Handover Feedback Questions Health Maintenance System (HMS) ISS Medical Accessories Kit (IMAK) Unpack from SPX-12 Health Maintenance System (HMS) Tonometry Test Setup/Stow Health Maintenance System (HMS) Tonometry Test Crew Medical Officer (CMO) Health Maintenance System (HMS) Tonometry Test Subject Health Maintenance System (HMS) Vision Questionnaire Health Maintenance System (HMS) Vision Test IFUNGUS sample MELFI Insertion #1 Auxiliary Computer System [ВКС] Hardware Audit Lighting Effects Sleep Log Entry – Subject Multi-Omics-Mouse Cage Cleaning Familiarization Conference Multi-Omics-Mouse Cage Cleaning and Maintenance for Food 1G first part 1 Multi-Omics-Mouse Cage Cleaning and Maintenance for Food 1G first part 2 Multi-Omics-Mouse Item Gathering Photo/TV N3/BEAM Camcorder Setup Probiotics Fecal Sample MELFI Insertion Probiotics Fecal Sample Operations Probiotics Sample Photo Reminder Rodent Research Thermal Consideration Treadmill 2 (T2) Photo/TV Reminder Regenerative Environmental Control and Life Support System (RGN) Wastewater Storage Tank Assembly (WSTA) Fill Наклейка русской клавиатуры на лэптоп RSК2 Pre-pack cargo items for return or disposal on Soyuz 735 Surface Tension Containment MWA Assist Surface Tension Containment MWA Operations Surface Tension Containment MWA Preperation Ultrasound 2 HRF Rack 1 Power On Water Recovery System Waste Water Tank Drain Init Water Recovery System Waste Water Tank Drain Termination XF305 Camcorder Setup Test video recording for RT channel Stop discharging the 1st Orlan Battery Pack 825М3 and and start discharging the 2nd Battery Pack EVA tool stow, update IMS RSK1 Laptop Replacement DUBRAVA. […]

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Simple Exploit Allows Attackers to Modify Email Content — Even After It's Sent!

Security researchers are warning of a new, easy-to-exploit email trick that could allow an attacker to turn a seemingly benign email into a malicious one after it has already been delivered to your email inbox. Dubbed Ropemaker (stands for Remotely Originated Post-delivery Email Manipulation Attacks Keeping Email Risky), the trick was uncovered by the researchers at email and cloud security

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Mecklenburg Confederate statue still stands after Anonymous announces threat

On Aug. 16, Anonymous released a video calling for a “Denouncement Day to denounce the Confederacy, to denounce racism, bigotry and hate.

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Over 500 Android Apps On Google Play Store Found Spying On 100 Million Users

Over 500 different Android apps that have been downloaded more than 100 million times from the official Google Play Store found to be infected with a malicious ad library that secretly distributes spyware to users and can perform dangerous operations. Since 90 per cent of Android apps is free to download from Google Play Store, advertising is a key revenue source for app developers. For this,

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The Crown of the Sun

During a total solar eclipse, the Sun's extensive outer atmosphere, or corona, is an inspirational sight. Streamers and shimmering features visible to the eye span a brightness range of over 10,000 to 1, making them notoriously difficult to capture in a single photograph. But this composite of telescopic images covers a wide range of exposure times to reveal the crown of the Sun in all its glory. The aligned and stacked digital frames were taken in clear skies above Stanley, Idaho in the Sawtooth Mountains during the Sun's total eclipse on August 21. A pinkish solar prominence extends just beyond the right edge of the solar disk. Even small details on the dark night side of the New Moon can be made out, illuminated by sunlight reflected from a Full Earth. via NASA http://ift.tt/2vluL61

A-Game

Anonymous Confession Lyrics: (A-Game) / Police are currently engaged in a nationwide manhunt for four Florida rappers suspected of engaging in ...

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Alcohol Anonymous Meetings

The Alumni Association will host an open meeting of Alcoholics Anonymous in the Center for Social Concerns, Geddes Hall, B34 (lower level).

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How to disable anonymous user permissions on site build

Using the configuration below I am trying to have my site install without giving anonymous users permission to "View content". I have no other code ...

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GitLab.org / GitLab Community Edition

What does this MR do? Preserves the `group_id` and `project_id` for searches by anonymous users ## Are there points in the code the reviewer ...

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Don't supports anonymous classes from php7

Feature request from Galillei , posted on GitHub Jun 15, 2016 Steps to reproduce I use Magento 2.0.5 on php 7.0.2 and try it use with anonymous.

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Frappening 2017: More Celebrity Nude Photos Hacked and Leaked Online

It seems like celebrities have not taken their security seriously, which once again resulted in the leaking of nude and personal photographs of more a-listed celebrities. Dozens of personal and intimate photos of Anne Hathaway, Miley Cyrus, Kristen Stewart, Katharine McPhee, golfer Tiger Woods and his ex Lindsey Vonn have reportedly been surfaced on the Internet, and have widely been shared

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Will Carmen Change Her Name To Anonymous?

Carmen is looking for a way to change her name to anonymous because she got involved in some public relations. Will things get a little tricky?

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Ravens: Mike Wallace confident offense "wil be fine" once injured players return (ESPN)

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ISS Daily Summary Report – 8/21/2017

Solar Eclipse Viewing: The crew removed scratch panes from Cupola windows #4 and #6 and cleaned the window #3 scratch pane. The crew then took both HD video and still images of the moon’s umbra on Earth from the Cupola. They also obtained images of both the sun and the moon. In addition, the P1 Lower Outboard External High Definition Camera (EHDC) was used to capture HD video of the moon’s umbra on Earth. Lung Tissue:  On Saturday the crew set up hardware in the Microgravity Science Glovebox (MSG) for Lung Tissue operations.  They also took samples and inserted them in to a Minus Eighty Degree Celsius Laboratory Freezer for ISS (MELFI) and fixed media in Tissue Bags. The Lung Tissue investigation uses the microgravity environment of space to test strategies for growing new lung tissue. Using the latest bioengineering techniques, the Lung Tissue experiment cultures different types of lung cells in controlled conditions onboard the ISS. The cells are grown in a specialized framework that supplies them with critical growth factors so that scientists can observe how gravity affects growth and specialization as cells become new lung tissue. Kubik:  On Saturday and Sunday the crew deinstalled Agenzia Spaziale Italiana (ASI) Biomission experiment containers from the Kubik 5 facility in the Columbus module, completing Runs 2 and 3.  Later today they will deinstall another experiment container, completing Run 4.  Each of the containers is inserted into a Minus Eighty Degree Celsius Laboratory Freezer for ISS (MELFI) in order to preserve the scientific samples.  Kubik 5 is supporting Biomission investigations by providing a small controlled-temperature incubator / cooler for the study of biological samples in a microgravity environment.  Kubik is equipped with removable inserts designed for self-contained, automatic experiments using seeds, cells, and small animals. ADvanced Space Experiment Processor (ADSEP):  On Saturday the crew removed Cell Culturing (CellCult) cassettes from ADSEP, inserted cells into each cassette and then reinserted them into ADSEP.  ADSEP is a thermally controlled facility that accommodates up to three cassette-based experiments that can be independently operated. Its companion hardware consists of a collection of several experiment cassettes, each doubly or triply contained, that accommodate experiments in cell technology, model organisms, multiphase fluids, solution chemistry, separation science, microencapsulation, and crystal growth.  For CellCult investigations, each cassette contains a single 50 milliliter rotating filtered bioreactor, a reservoir for fresh media, two programmable peristaltic pumps, a waste reservoir, and up to six sample-collection or reagent containers connected by manifold to the reactor. Cultures can be operated in continuous perfusion, batch fed, static, or sampling mode. Both the removal of samples and the addition of additives to the reactor volume can be programmed or teleoperated.  Aeration and humidity control are available  NanoRacks Module 9: On Saturday the crew activated mixture tubes for the NanoRacks Module 9 second operations session in support of the NanoRacks-National Center for Earth and Space Science-Casper (NanoRacks-NCESSE-Casper) investigation.  NCESSE supports various schools and student-designed experiments that address challenges of living and working in space. The program is also a key initiative for U.S. science, technology, engineering and math (STEM) that strives to educate and inspire the next generation of scientists and engineers to work on the space program.    Lighting Effects: On Sunday a crewmember provided a sleep log entry for the Lighting Effects investigation. The light bulbs on the ISS are being replaced with a new system designed for improved crew health and wellness. Fluorescent bulbs are being replaced with solid-state light-emitting diodes (LEDs) that have adjustable intensity and color. Investigators will determine if the new lights improve crew circadian rhythms, sleep, and cognitive performance. Results from this investigation also have implications for people on Earth who use electric lights.  Cardio Ox:  A 50S crewmember collected blood and urine samples today to satisfy their Return minus 15 Day (R-15) Cardio Ox requirements. By collecting Cardio Ox ultrasound and ECG data, along with blood and urine samples, scientists are trying to determine whether biological markers of oxidative and inflammatory stress are elevated during and after space flight and whether this results in an increased, long-term risk of atherosclerosis in astronauts. Fine Motor Skills (FMS): Today a 51S crewmember completed their tenth FMS session. The FMS investigation studies how the fine motor skills are effected by long-term microgravity exposure, different phases of microgravity adaptation, and sensorimotor recovery after returning to Earth gravity. The goal of the investigation is to determine how fine motor performance in microgravity varies over the duration of six-month and year-long space missions; how fine motor performance on orbit compares with that of a closely matched participant on Earth; and how performance varies before and after gravitational transitions, including periods of early flight adaptation and very early/near immediate post-flight periods.  Today’s Planned Activities All activities were completed unless otherwise noted. ASI Experiment Container insertion into MELFI Experiment Container deinstallation Combustion Integrated Rack Alignment Guide Removal Cupola Window 4 Scratch Pane Replacement Cupola Window 4 Scratch Pane Removal Cupola Window 6 Scratch Pane Replacement Cupola Window 6 Scratch Pane Removal Cupola Window 3 Scratch Pane Cleaning Exploration script recording Synthetic biology script recording Fine Motor Skills Experiment Test – Subject Handover Feedback Questions HRF Generic Frozen Blood Collection – Operator HRF Generic Frozen Blood Collection 30 Minutes – Subject HRF Generic Frozen Blood Collection Conclude Stow HRF Generic Sample MELFI Insertion Operations HRF Generic Sample MELFI Retrieval Insertion Operations HRF Generic Refrigerated Centrifuge Configuration HRF Generic Refrigerated Centrifuge Spin Conclude HRF Generic Urine Collection Female – Subject HRF Generic Urine Collection Stow Lighting Effects Sleep Log Entry – Subject Mouse Epigenetics Item Gathering Multi-Omics-Mouse Mouse Habitat Cage Unit Maintenance Familiarization Multi-Omics-Mouse Cage Maintenance for Water 1 (MG) and Food Cartridge Exchange for M1. Photo/TV Camcorder Solar Eclipse Deactivation Photo/TV Camcorder Solar Eclipse Setup Photo/TV D4 Solar Eclipse Deactivation Photo/TV D4 camera setups for the solar eclipse Photo/TV Solar Eclipse Rodent Research Water Box and Light Check Surface Tension Containment MWA Assist Surface Tension Containment MWA Operations Surface Tension Containment MWA Preparation XF305 Camcorder Setup Mate a […]

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Android 8.0 Oreo Released – 11 New Features That Make Android Even Better

While the moon was eclipsing the sun, Google announced the launch of its new mobile operating system called Android 8.0 Oreo in an Eclipse-themed launch event in New York City. Yes, the next version of sugary snack-themed Android and the successor to Android Nougat will now be known as Android Oreo, the company revealed on Monday. Google has maintained the tradition of naming its Android

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Standing Out From the Crowd: Anonymous

The high school drama, Anonymous, is a story of every teenager: trying to fit in, trying to belong, trying to fall in love.

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A Total Solar Eclipse over Wyoming

Will the sky be clear enough to see the eclipse? This question was on the minds of many people attempting to view yesterday's solar eclipse. The path of total darkness crossed the mainland of the USA from coast to coast, from Oregon to South Carolina -- but a partial eclipse occurred above all of North America. Unfortunately, many locations saw predominantly clouds. One location that did not was a bank of Green River Lake, Wyoming. There, clouds blocked the Sun intermittantly up to one minute before totality. Parting clouds then moved far enough away to allow the center image of the featured composite sequence to be taken. This image shows the corona of the Sun extending out past the central dark Moon that blocks our familiar Sun. The surrounding images show the partial phases of the solar eclipse both before and after totality. via NASA http://ift.tt/2wwYk9l

▶ Adam Jones smacks pair of solo homers in 7-3 win over A's (ESPN)

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Anonymous - BOH Positions

Anonymous - BOH Positions – Boston Restaurant Jobs - BostonChefs.com's Industry Insider, the best jobs at Boston restaurants.

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Free proxy surf anonymously

ProxFree is a free and powerful anonymous proxy site directly in your web browser, easily changable IP addresses and SSL security. Unblock sites ...

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rust-lang/rust

properly handle anonymous regions appearing in return type - anon-anon conflicts #44018. Open. gaurikholkar opened this Issue 33 minutes ago · 0 ...

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The next great sack artist? Where top rookie pass-rushers stand - Dan Graziano (ESPN)

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Sony PlayStation Social Media Accounts Hacked; Claims PSN Database Breach

After hacking social media accounts of HBO and its widely watched show Game of Thrones, a notorious group of hackers calling itself OurMine took control over the official Twitter and Facebook accounts for Sony's PlayStation Network (PSN) on Sunday. After taking over the accounts, OurMine, Saudi Arabian group of hackers which claims to be a "white hat" security firm, posted its first tweet on

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I have a new follower on Twitter

Matt L.
Web Developer with React, M.Sc. of Renewable Energies | Improving the world with knowledge and technology 🌿🌎🌞
Olching, Deutschland
https://t.co/ByiGrEgieF
Following: 2000 - Followers: 1874

August 21, 2017 at 01:49PM via Twitter http://twitter.com/ltcmatt

Ravens: Joe Flacco pokes fun at his "eliteness" in Tostitos commercial - Jamison Hensley (ESPN)

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Anonymous Donor Provides School Supplies For Every Student At Texas Elementary School

An anonymous donor, however, wanted to make sure for at least one Texas school, their students started the new year totally stress free.

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Ravens: Why Terrell Suggs might've wanted to strangle Justin Tucker - Jamison Hensley (ESPN)

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Deep Learning with OpenCV

Two weeks ago OpenCV 3.3 was officially released, bringing with it a highly improved deep learning (

dnn

 ) module. This module now supports a number of deep learning frameworks, including Caffe, TensorFlow, and Torch/PyTorch.

Furthermore, this API for using pre-trained deep learning models is compatible with both the C++ API and the Python bindings, making it dead simple to:

1. Load a model from disk.
2. Pre-process an input image.
3. Pass the image through the network and obtain the output classifications.

While we cannot train deep learning models using OpenCV (nor should we), this does allow us to take our models trained using dedicated deep learning libraries/tools and then efficiently use them directly inside our OpenCV scripts.

In the remainder of this blog post I’ll demonstrate the fundamentals of how to take a pre-trained deep learning network on the ImageNet dataset and apply it to input images.

To learn more about deep learning with OpenCV, just keep reading.

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

Deep Learning with OpenCV

In the first part of this post, we’ll discuss the OpenCV 3.3 release and the overhauled

dnn

  module.

We’ll then write a Python script that will use OpenCV and GoogleLeNet (pre-trained on ImageNet) to classify images.

Finally, we’ll explore the results of our classifications.

Deep Learning inside OpenCV 3.3

The dnn module of OpenCV has been part of the

opencv_contrib

  repository since version v3.1. Now in OpenCV 3.3 it is included in the main repository.

Why should you care?

Deep Learning is a fast growing domain of Machine Learning and if you’re working in the field of computer vision/image processing already (or getting up to speed), it’s a crucial area to explore.

With OpenCV 3.3, we can utilize pre-trained networks with popular deep learning frameworks. The fact that they are pre-trained implies that we don’t need to spend many hours training the network — rather we can complete a forward pass and utilize the output to make a decision within our application.

OpenCV does not (and does not intend to be) to be a tool for training networks — there are already great frameworks available for that purpose. Since a network (such as a CNN) can be used as a classifier, it makes logical sense that OpenCV has a Deep Learning module that we can leverage easily within the OpenCV ecosystem.

Popular network architectures compatible with OpenCV 3.3 include:

• GoogleLeNet (used in this blog post)
• AlexNet
• SqueezeNet
• VGGNet (and associated flavors)
• ResNet

The release notes for this module are available on the OpenCV repository page.

Rynikov Alexander, the main contributor for this module, has ambitious plans for this module so be sure to stay on the lookout and read his release notes (in Russian, so make sure you have Google Translation enabled in your browser if Russian is not your native language).

It’s my opinion that the

dnn

  module will have a big impact on the OpenCV community, so let’s get the word out.

Configure your machine with OpenCV 3.3

Installing OpenCV 3.3 is on par with installing other versions. The same install tutorials can be utilized — just make sure you download and use the correct release.

Simply follow these instructions for MacOS or Ubuntu while making sure to use the opencv and opencv_contrib releases for OpenCV 3.3. If you opt for the MacOS + homebrew install instructions, be sure to use the

--HEAD

  switch (among the others mentioned) to get the bleeding edge version of OpenCV.

If you’re using virtual environments (highly recommended), you can easily install OpenCV 3.3 alongside a previous version. Just create a brand new virtual environment (and name it appropriately) as you follow the tutorial corresponding to your system.

OpenCV deep learning functions and frameworks

OpenCV 3.3 supports the Caffe, TensorFlow, and Torch/PyTorch frameworks.

Keras is currently not supported (since Keras is actually a wrapper around backends such as TensorFlow and Theano), although I imagine it’s only a matter of time until Keras is directly supported given the popularity of the deep learning library.

Using OpenCV 3.3 we can load images from disk using the following functions inside

dnn

 :

• cv2.dnn.blobFromImage
  

• cv2.dnn.blobFromImages
  

We can directly import models from various frameworks via the “create” methods:

• cv2.dnn.createCaffeImporter
  

• cv2.dnn.createTensorFlowImporter
  

• cv2.dnn.createTorchImporter
  

Although I think it’s easier to simply use the “read” methods and load a serialized model from disk directly:

• cv2.dnn.readNetFromCaffe
  

• cv2.dnn.readNetFromTensorFlow
  

• cv2.dnn.readNetFromTorch
  

• cv2.dnn.readhTorchBlob
  

Once we have loaded a model from disk, the .forward method is used to forward-propagate our image and obtain the actual classification.

To learn how all these OpenCV deep learning pieces fit together, let’s move on to the next section.

Classifying images using deep learning and OpenCV

In this section, we’ll be creating a Python script that can be used to classify input images using OpenCV and GoogLeNet (pre-trained on ImageNet) using the Caffe framework.

The GoogLeNet architecture (now known as “Inception” after the novel micro-architecture) was introduced by Szegedy et al. in their 2014 paper, Going deeper with convolutions.

Other architectures are also supported with OpenCV 3.3 including AlexNet, ResNet, and SqueezeNet — we’ll be examining these architectures for deep learning with OpenCV in a future blog post.

In the meantime, let’s learn how we can load a pre-trained Caffe model and use it to classify an image using OpenCV.

To begin, open up a new file, name it

deep_learning_with_opencv.py

 , and insert the following code:

# import the necessary packages
import numpy as np
import argparse
import time
import cv2

On Lines 2-5 we import our necessary packages.

Then we parse command line arguments:

# construct the argument parse and parse the arguments
ap = argparse.ArgumentParser()
ap.add_argument("-i", "--image", required=True,
        help="path to input image")
ap.add_argument("-p", "--prototxt", required=True,
        help="path to Caffe 'deploy' prototxt file")
ap.add_argument("-m", "--model", required=True,
        help="path to Caffe pre-trained model")
ap.add_argument("-l", "--labels", required=True,
        help="path to ImageNet labels (i.e., syn-sets)")
args = vars(ap.parse_args())

On Line 8 we create an argument parser followed by establishing four required command line arguments (Lines 9-16):

• --image
  

   : The path to the input image.

• --prototxt
  

   : The path to the Caffe “deploy” prototxt file.

• --model
  

   : The pre-trained Caffe model (i.e,. the network weights themselves).

• --labels
  

   : The path to ImageNet labels (i.e., “syn-sets”).

Now that we’ve established our arguments, we parse them and store them in a variable,

args

 , for easy access later.

Let’s load the input image and class labels:

# load the input image from disk
image = cv2.imread(args["image"])

# load the class labels from disk
rows = open(args["labels"]).read().strip().split("\n")
classes = [r[r.find(" ") + 1:].split(",")[0] for r in rows]

On Line 20, we load the

image

  from disk via

cv2.imread

 .

Let’s take a closer look at the class label data which we load on Lines 23 and 24:

n01440764 tench, Tinca tinca
n01443537 goldfish, Carassius auratus
n01484850 great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias
n01491361 tiger shark, Galeocerdo cuvieri
n01494475 hammerhead, hammerhead shark
n01496331 electric ray, crampfish, numbfish, torpedo
n01498041 stingray
...

As you can see, we have a unique identifier followed by a space, some class labels, and a new-line. Parsing this file line-by-line is straightforward and efficient using Python.

First, we load the class label

rows

  from disk into a list. To do this we strip whitespace from the beginning and end of each line while using the new-line (‘

\n

 ‘) as the row delimiter (Line 23). The result is a list of IDs and labels:

['n01440764 tench, Tinca tinca', 'n01443537 goldfish, Carassius auratus',
'n01484850 great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias',
'n01491361 tiger shark, Galeocerdo cuvieri',
'n01494475 hammerhead, hammerhead shark',
'n01496331 electric ray, crampfish, numbfish, torpedo',
'n01498041 stingray', ...]

Second, we use list comprehension to extract the relevant class labels from

rows

  by looking for the space (‘ ‘) after the ID, followed by delimiting class labels with a comma (‘

,

 ‘). The result is simply a list of class labels:

['tench', 'goldfish', 'great white shark', 'tiger shark',
'hammerhead', 'electric ray', 'stingray', ...]

Now that we’ve taken care of the labels, let’s dig into the

dnn

  module of OpenCV 3.3:

# our CNN requires fixed spatial dimensions for our input image(s)
# so we need to ensure it is resized to 224x224 pixels while
# performing mean subtraction (104, 117, 123) to normalize the input;
# after executing this command our "blob" now has the shape:
# (1, 3, 224, 224)
blob = cv2.dnn.blobFromImage(image, 1, (224, 224), (104, 117, 123))

Taking note of the comment in the block above, we use

cv2.dnn.blobFromImage

  to perform mean subtraction to normalize the input image which results in a known blob shape (Line 31).

We then load our model from disk:

# load our serialized model from disk
print("[INFO] loading model...")
net = cv2.dnn.readNetFromCaffe(args["prototxt"], args["model"])

Since we’ve opted to use Caffe, we utilize

cv2.dnn.readNetFromCaffe

  to load our Caffe model definition

prototxt

  and pre-trained 

model

  from disk (Line 35).

If you are familiar with Caffe, you’ll recognize the

prototxt

  file as a plain text configuration which follows a JSON-like structure — I recommend that you open

bvlc_googlenet.prototxt

  from the “Downloads” section in a text editor to inspect it.

Note: If you are unfamiliar with configuring Caffe CNNs, then this is a great time to consider the PyImageSearch Gurus course — inside the course you’ll get an in depth look at using deep nets for computer vision and image classification.

Now let’s complete a forward pass through the network with

blob

  as the input:

# set the blob as input to the network and perform a forward-pass to
# obtain our output classification
net.setInput(blob)
start = time.time()
preds = net.forward()
end = time.time()
print("[INFO] classification took {:.5} seconds".format(end - start))

It is important to note at this step that we aren’t training a CNN — rather, we are making use of a pre-trained network. Therefore we are just passing the blob through the network (i.e., forward propagation) to obtain the result (no back-propagation).

First, we specify

blob

  as our input (Line 39). Second, we make a

start

  timestamp (Line 40), followed by passing our input image through the network and storing the predictions. Finally, we set an

end

  timestamp (Line 42) so we can calculate the difference and print the elapsed time (Line 43).

Let’s finish up by determining the top five predictions for our input image:

# sort the indexes of the probabilities in descending order (higher
# probabilitiy first) and grab the top-5 predictions
idxs = np.argsort(preds[0])[::-1][:5]

Using NumPy, we can easily sort and extract the top five predictions on Line 47.

Next, we will display the top five class predictions:

# loop over the top-5 predictions and display them
for (i, idx) in enumerate(idxs):
        # draw the top prediction on the input image
        if i == 0:
                text = "Label: {}, {:.2f}%".format(classes[idx],
                        preds[0][idx] * 100)
                cv2.putText(image, text, (5, 25),  cv2.FONT_HERSHEY_SIMPLEX,
                        0.7, (0, 0, 255), 2)

        # display the predicted label + associated probability to the
        # console       
        print("[INFO] {}. label: {}, probability: {:.5}".format(i + 1,
                classes[idx], preds[0][idx]))

# display the output image
cv2.imshow("Image", image)
cv2.waitKey(0)

The idea for this loop is to (1) draw the top prediction label on the image itself and (2) print the associated class label probabilities to the terminal.

Lastly, we display the image to the screen (Line 64) and wait for the user to press a key before exiting (Line 65).

Deep learning and OpenCV classification results

Now that we have implemented our Python script to utilize deep learning with OpenCV, let’s go ahead and apply it to a few example images.

Make sure you use the “Downloads” section of this blog post to download the source code + pre-trained GoogLeNet architecture + example images.

From there, open up a terminal and execute the following command:

$ python deep_learning_with_opencv.py --image images/jemma.png 
        --prototxt bvlc_googlenet.prototxt \
        --model bvlc_googlenet.caffemodel --labels synset_words.txt
[INFO] loading model...
[INFO] classification took 0.075035 seconds
[INFO] 1. label: beagle, probability: 0.81137
[INFO] 2. label: Labrador retriever, probability: 0.031416
[INFO] 3. label: bluetick, probability: 0.023929
[INFO] 4. label: EntleBucher, probability: 0.017507
[INFO] 5. label: Greater Swiss Mountain dog, probability: 0.01444

Figure 1: Using OpenCV and deep learning to predict the class label for an input image.

In the above example, we have Jemma, the family beagle. Using OpenCV and GoogLeNet we have correctly classified this image as “beagle”.

Furthermore, inspecting the top-5 results we can see that the other top predictions are also relevant, all of them of which are dogs that have similar physical appearances as beagles.

Taking a look at the timing we also see that the forward pass took < 1 second, even though we are using our CPU.

Keep in mind that the forward pass is substantially faster than the backward pass as we do not need to compute the gradient and backpropagate through the network.

Let’s classify another image using OpenCV and deep learning:

$ python deep_learning_with_opencv.py --image images/traffic_light.png 
        --prototxt bvlc_googlenet.prototxt \
        --model bvlc_googlenet.caffemodel --labels synset_words.txt
[INFO] loading model...
[INFO] classification took 0.080521 seconds
[INFO] 1. label: traffic light, probability: 1.0
[INFO] 2. label: pole, probability: 4.9961e-07
[INFO] 3. label: spotlight, probability: 3.4974e-08
[INFO] 4. label: street sign, probability: 3.3623e-08
[INFO] 5. label: loudspeaker, probability: 2.0235e-08

Figure 2: OpenCV and deep learning is used to correctly label this image as “traffic light”.

OpenCV and GoogLeNet correctly label this image as “traffic light” with 100% certainty.

In this example we have a “bald eagle”:

$ python deep_learning_with_opencv.py --image images/eagle.png
        --prototxt bvlc_googlenet.prototxt \
        --model bvlc_googlenet.caffemodel --labels synset_words.txt
[INFO] loading model...
[INFO] classification took 0.087207 seconds
[INFO] 1. label: bald eagle, probability: 0.96768
[INFO] 2. label: kite, probability: 0.031964
[INFO] 3. label: vulture, probability: 0.00023595
[INFO] 4. label: albatross, probability: 6.3653e-05
[INFO] 5. label: black grouse, probability: 1.6147e-05

Figure 3: The “deep neural network” (dnn) module inside OpenCV 3.3 can be used to classify images using pre-trained models.

We are once again able to correctly classify the input image.

Our final example is a “vending machine”:

$ python deep_learning_with_opencv.py --image images/vending_machine.png
        --prototxt bvlc_googlenet.prototxt \
        --model bvlc_googlenet.caffemodel --labels synset_words.txt
[INFO] loading model...
[INFO] classification took 0.099602 seconds
[INFO] 1. label: vending machine, probability: 0.99269
[INFO] 2. label: cash machine, probability: 0.0023691
[INFO] 3. label: pay-phone, probability: 0.00097005
[INFO] 4. label: ashcan, probability: 0.00092097
[INFO] 5. label: mailbox, probability: 0.00061188

Figure 4: Since our GoogLeNet model is pre-trained on ImageNet, we can classify each of the 1,000 labels inside the dataset using OpenCV + deep learning.

OpenCV + deep learning once again correctly classifes the image.

Summary

In today’s blog post we learned how to use OpenCV for deep learning.

With the release of OpenCV 3.3 the deep neural network (

dnn

 ) library has been substantially overhauled, allowing us to load pre-trained networks via the Caffe, TensorFlow, and Torch/PyTorch frameworks and then use them to classify input images.

I imagine Keras support will also be coming soon, given how popular the framework is. This will likely take be a non-trivial implementation as Keras itself can support multiple numeric computation backends.

Over the next few weeks we’ll:

1. Take a deeper dive into the

   dnn
   

     module and how it can be used inside our Python + OpenCV scripts.
2. Learn how to modify Caffe

   .prototxt
   

     files to be compatible with OpenCV.
3. Discover how we can apply deep learning using OpenCV to the Raspberry Pi.

This is a can’t-miss series of blog posts, so be before you go, make sure you enter your email address in the form below to be notified when these posts go live!

Downloads:

If you would like to download the code and images used in this post, please enter your email address in the form below. Not only will you get a .zip of the code, I’ll also send you a FREE 11-page Resource Guide on Computer Vision and Image Search Engines, including exclusive techniques that I don’t post on this blog! Sound good? If so, enter your email address and I’ll send you the code immediately!

Email address:

The post Deep Learning with OpenCV appeared first on PyImageSearch.

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ISS Daily Summary Report – 8/18/2017

Rodent Research 9 (RR-9):  The crew activated the water lixits and installed food bars in two Animal Habitats for the RR-9 investigation today.  They then transferred 20 mice from the Transporter to the habitats after checking the health of the mice. The RR-9 experiment studies how microgravity affects the immune systems, muscles and bones of rodents during extended stays aboard the ISS.  After approximately 30 days aboard the ISS, the mice will be returned to Earth where scientists on the ground will study how their time in space has affected various tissues, including brain, muscle, heart, joint, the eyes and the immune system.  ISS Non-invasive Sample Investigation and results Transmission to ground with the Utmost easiness (In Situ):  The crew collected a saliva sample and processed it in the bioanalyzer for the In Situ investigation.  Crew members on the ISS are continually monitored for health changes, and as part of these measurements, they take saliva samples that are stored and returned to Earth. The In Situ bioanalysis uses a portable device that can check crew members’ saliva on board the ISS, enabling direct real-time analysis. The device’s first uses are to monitor stress levels and appetites among crew members.  Humans living in space experience dramatic changes to their health, from weakened bone and muscle to reduced appetites and increased stress levels. The device uses disposable cartridges that check for the presence of the stress hormone cortisol.  A miniature analytical device that can detect certain biomarkers using non-invasively collected samples would benefit health care workers on Earth, from emergency medical technicians on call, to small rural clinics in developing countries. Vascular Echo Ultrasound:  A crewmember performed a Vascular Echo resting ultrasound of the neck, thigh and heart and collected blood pressure measurements. This Canadian Space Agency investigation examines changes in blood vessels and the heart while crew members are in space, and then upon their return to Earth. The results could provide insight into potential countermeasures to help maintain crew member health.  Space Technology and Advanced Research Systems (STaARS) Intraterrestrial Fungus (iFUNGUS):  The crew stowed a mesh bag containing iFUNGUS cryotubes at ambient air in Node 1.   STaARS-iFUNGUS cultures a rare type of fungus in the microgravity environment of space in order to search for new antibiotics. The fungus, Penicillium chrysogenum, comes from deep in the Earth’s subsurface and shows potential as a source for new antibacterial compounds. The iFUNGUS experiment transports frozen samples of fungal spores to the ISS, grows the fungus in different nutrient mixtures over different intervals, refreezes the samples and then returns them to Earth, where scientists examine how they grew and what chemicals they produced.  STaARS-iFUNGUS demonstrates how the microgravity environment of space can serve as a laboratory and production facility for new life science discoveries. Discoveries generated by this research can foster further research and production efforts that utilize low gravity conditions to create novel compounds or other products. Tangolab-1 and -2:  During the initial card installation activity yesterday a Payload Card would not seat properly in Tangolab-2.  Using procedures developed overnight by ground teams, the crew was able today to successfully install that Payload Card in TangoLab-1.  The Payload Developer confirmed good data flow for the Card.  This card contains one experiment to study genetic mutations in fruit flies and one to study Carbon Dioxide scrubbing in cactus.   Space Headaches:  The 51 Soyuz (51S) USOS crewmembers completed weekly questionnaires for the ESA Space Headaches investigation. The investigation collects information that may help in the development of methods to alleviate associated symptoms and improvement in the well-being and performance of crewmembers in space. Headaches during space flight can negatively affect mental and physical capacities of crewmembers that can influence performance during a space mission. Dose Tracker:  A crewmember completed a weekly medication tracking entry today in the Dose Tracker application that runs on an iPad.  Dose Tracker documents the medication usage of crewmembers before and during their missions by capturing data regarding medication use during spaceflight, including side effect qualities, frequencies and severities. The investigation is expected to provide anecdotal evidence of medication effectiveness during flight and any unusual side effects experienced. It is also expected that specific, near-real-time questioning about symptom relief and side effects will provide the data required to establish whether spaceflight-associated alterations in pharmacokinetics or pharmacodynamics is occurring during missions.  Dragon On-Board Training (OBT): The crew reviewed SpX-12 Dragon training materials to include emergency response review and emergency hatch closure.  Today’s Planned Activities All activities were completed unless otherwise noted. KUBIK Functional check Actiwatch Spectrum HRF1 Configuration Alternate 2 Combustion Integrated Rack Alignment Guide Removal Crew Departure Preparations for Return to Earth CSA Generic Frozen Blood Collection – Operator CSA Generic Frozen Blood Collection 25 Minutes – Subject CSA Generic Frozen Blood Collection Conclude And Stow CSA Generic Sample MELFI Insertion CSA Generic Refrigerated Centrifuge Configure CSA Generic Refrigerated Centrifuge Spin Conclude Dose Tracker Data Entry Subject Exploration script recording Synthetic biology script recording Glove Box Cleaning Health Maintenance System (HMS) – ESA Nutritional Assessment In-Flight Maintenance (IFM) Waste and Hygiene Compartment (WHC) Pre-treat Tank R&R Video IFUNGUS sample removal from temp stow location and stow at specified location IN SITU Camera Setup IN SITU Saliva Collect Finish IN SITU Saliva Collect Operations INSITU MELFI Sample Retrieve iPad Air 2 Comm Swing ISS HAM Radio Power Up Long Duration Sorbent Testbed Status Check Lighting Effects Sleep Log Entry – Subject Preparing For Upcoming MagVector Science Run Onboard Training (OBT) Dragon Debrief Conference On-Board Training (OBT) Dragon Emergency Review Rodent Research Habitat Stow Rodent Research Node 2 Camcorder Video Setup Rodent Research Transfer Review Rodent Research Transporter 2 Stow Rodent Research 9 Transfer Transfer of US EVA Tools to the USOS after RS EVA 43 Tool Stowage post RS EVA [In work] Space Headaches – Weekly Questionnaire Surface Tension Containment MWA Assist Surface Tension Containment MWA Operations Surface Tension Containment MWA Preparation TangoLab-1 Card Cube Replace Ultrasound 2 HRF Rack 1 Power On Vascular Echo Resting Ultrasound Scan 135 Minutes – […]

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Sarahah: Know About Anonymous Messaging App

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Anonymous

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