![]() All with the goal of building a smarter, more useful map. It will absorb more data, from more sources, at a greater rate and with greater accuracy than what’s currently available on the market. TomTom’s new platform is designed to do just that. As Tara Goddard, Assistant Professor at Texas A&M University, puts it, “How do you find the signal in the noise?” TomTom's new mapping platform and ecosystem This is the fundamental challenge TomTom faces every day. The difficult part is bringing it all together and making sense of it. ![]() Harrell is much more direct, “It’s a tsunami of data,” he says. “Location data is everywhere, and it can never be decoupled from our lives,” says Gaby Grillo, Product Marketing Manager, TomTom Digital Cockpit. The good part is that there is no shortage of data out in the world. The “smartest map on the planet,” as TomTom puts it.īut to begin building that, the company requires data, lots of data. This vast variety of use cases is placing “insatiable demand” on the kind of technology TomTom develops, Harold Goddijn, TomTom CEO, said at the company’s recent investor event.įor a world reliant on location data, developers and engineers need the best, most detailed map possible. Today, location data is used in more business models, applications and in more innovative ways than ever: from geotagging social media posts, to routing food delivery drivers, to informing insurance calculations, to ensuring your bank cards aren’t being misused, to suggesting what the default language on your devices should be. Jonathan Houston, General Manager Commercial, MapIT But I think the more we are adding to it and the more alive we’re making it, the better the end results. The construct of what we have now is sound. I think it is anything we want to let it be. The future of mapmaking is a wide-open field. Equally, the more data you have access to, the more opportunity you have to innovate. Naturally, the more complex the use case, the more detail and accuracy you’ll need. Whether you’re making a simple map to show where your restaurant is or a high-definition map for an automated vehicle, you need data. “Data,” Mike Harrell, VP of Software Engineering TomTom Maps, says. The Dutch mapmaker is instead taking data sourcing to new heights with what it calls “super sources.” But what are they? Data will be key to its success, and while the company already has more than 30 years’ worth of global location data, it’s not resting on its laurels. Earlier this month, TomTom lifted the lid on its game-changing approach to build a new mapping and geolocation data ecosystem, the TomTom Maps Platform.
0 Comments
![]() JustiN, Kenn, Naomi, Ruby DD, Silent, yellowflash, Zippxīlink, Gustalagusta, Kiing, Luiizz, Seigen, Tekashiĭragonn, Harle, JoelCrew, PrinceFran, Soujin, Stepheĥ05, babycakes, BRAYYY, Diablo, Lolsie, Roy. Read More: Everything in Apex Legends Season 13: New Legend. Click here for detailed information about Group Stage Drawingīasic, Bennyqt, Dex Star, Edward, Eson, Hadji, Hesa, Jaypee, Kairi, KarlTzy, KurtTzy, Mielow, Oheb, OhMyV33NUS, Sanford, Sanji, Wise, YawiĪlberttt, Banana, Butsss, Clayyy, CW, Drian, Kiboy, Lemon, R7, SamoHT, SANZ, Skylar, VYNĤMeyz, CikuGais, Garyy, Lolla, Mann, Minn, Momo, Moon, Panda, Rival, Syamskyyy, YumSkie These skins are based on the 12 constellations Aries, Taurus, Gemini, Cancer, Leo, Virgo, Libra, Scorpio, Sagittarius, Capricorn, Aquarius, and Pisces. EA has officially announced that Apex Legends Mobile will release worldwide on May 17, 2022.First two rounds of Lower Bracket is Bo3, Grand Final is Bo7, all others matches are Bo5.Eight teams begin in the Upper Bracket, eight in the Lower Bracket.Sixteen teams play in a double-elimination bracket.Knockout Stage: January 7th - 15th, 2022.The winner between Team 1 and Team 2 or 3 will get the upper position.Teams 2 and 3 will play a Bo1 match and the winner will face Team 1 in a Bo1 match. Todas las noticias, videos gameplay, imágenes, fecha de lanzamiento, análisis, opiniones, guías y trucos sobre Apex Legends Mobile en 3DJuegos.The fastest game win of three teams will be sorted in ascending order. If three teams still have the same points after 3 Bo1, the three teams will play two additional games according to the ranking of winning time of the first-round tiebreaker.Upper position will be decided by previous head to head. ![]() If somehow 2 or 3 teams have the same score, there will be tiebreaker to decide the ranking ![]() ![]() The Crazy Frog Brothers is a homemade video of two kids dancing around their basement and lip-syncing to the song "Axel F. In December 2005, Digital Jesters created a video game for Playstation 2 and PC called Crazy Frog Racer. The success of the track led to three Crazy Frog albums: Crazy Hits (2005), More Crazy Hits (2006) and Everybody Dance Now (2009). The track debuted at Number 1 in the UK, where it stayed for four weeks. In February of 2018, that video surpassed 1 billion views on YouTube. It was uploaded to the CrazyFrogVEVO channel on June 16th, 2009. The song was released as a single titled "Crazy Frog – Axel F." The same year, the Swedish 3D animation company Kaktus Film and Wernquist made a music video for the song with the title "Axel F" (shown below). In 2005, dance music projects Bass Bumpers and Off-Cast Project created a cover song of Harold Faltermeyer's "Axel F" using the Crazy Frog vocals. In 2004 "Jamba!" used this as a ringtone to show this in a commercial and renamed the audio in "The Crazy Frog." In an interview with Wernquist, he expressed his displeasure at the choice of the name by saying, that it isn't a frog and is not considered to be crazy. The background song is called "In Rock 8 Bit" produced by "Bodenständig 2000" (shown below, right). The animation was then posted on by him and the animation was download-able as an. F and Popcorn as well as tracks from the Crazy Frog singles and. The animation is called "The Annoying Thing," which was the initial name of the frog.
Verse one: “My father’s dead / Well, I don’t know / We’ll never fucking meet.” Tyler’s universe was vivid and awful and ridiculous and terrifying from the opening seconds of the opening title track, in which he curses out the rap blogs Nah Right and 2DopeBoyz for not posting his music, pitch-shifts his already cavernous voice down to a sludgy crawl to play the therapist charged with plumbing young Tyler’s psyche, unveils a gorgeous horror-movie piano loop, and then unleashes nine verses of mortifying vitriol. I remember every detail of hearing Bastard for the first time, mostly because the details-drab office, lousy computer speakers-were so mundane. But it was Tyler’s own debut mixtape, brought screaming into the world on Christmas Day 2009, that defines Phase 1 in all its ferocious precision. Frank Ocean, the expanded group’s most soulful and mysterious member, brought Odd Future’s first phase to a startling and triumphant close with 2011’s unfathomably tender Nostalgia, Ultra. “When, after all,” Tom Breihan wrote for Pitchfork in early 2011, “was the last time you heard music that aimed to shock and actually succeeded?”Įarl Sweatshirt, who debuted with 2010’s Earl, had a deliriously macabre swagger and, thanks to his breakout hit “Earl,” the gnarliest video. But then, seemingly all at once, the group had a dozen free mixtapes available on Tumblr, and a priceless reputation as the hottest and gnarliest and most deplorable young artists on the internet. It took a few years for Tyler and his loose band of henchmen, first introduced on 2008’s The Odd Future Tape, to fully rise to prominence and sink to full-blown ignominy. (Some early OFWGKTA is transcendent much of it is “Goop on Ya Grinch” personified.) Yes, we will treat songs with titles like “epaR” and “ Assmilk” as sacred texts worthy of much earnest dissection. Yes, we will regard a nonstop torrent of homophobic slurs as a compelling artistic choice and not empty, witless provocation. ![]() Yes, we will add the stupid comma to Tyler, the Creator. collective by its full name, Odd Future Wolf Gang Kill Them All. Yes, we will refer to his sublimely chaotic L.A. He was all four horsemen of the apocalypse decked out in Supreme-branded horseshoes.Īnd thus did thunderstruck critics find themselves agreeing to his terms, playing by his rules. He combined underground-rap ardor with punk-rock fury, palpable analog hatred with abstract, Tumblr-borne virality. In 2010, Tyler, the Creator was the coolest, and angriest, and scariest, and most grotesque human alive, a virulent teenaged prodigy who left much of the internet both appalled and totally enraptured. It is very probable that he still has your attention anyway, despite everything, or maybe-definitely-because of it. It is very arguable that this person no longer deserves your attention, sustained or otherwise. Igor will likely take a dozen or so listens to fully sink in, very much by design-yet one more indulgence in a dazzling career composed of nothing but. Tyler, the Creator is an uncancelable supervillain for the cancel culture era, his myriad transgressions so monstrous and numerous that they somehow cancel each other out. Right? Maybe? What he’s craving, exactly, is still subject to much justifiably heated debate. ![]() So Necessary: Tyler, the Creator’s Playboi Carti Assist, Skepta’s Precision, and Megan Thee Stallion’s Realness We’re still getting used to the idea of a Tyler record that is not intended to cause actual bodily harm. The goal seems to be to knock longtime Tyler devotees off-balance, and what’s extra disorienting is that he’s no longer necessarily trying to pile-drive everybody into the ground. ![]() The song “A Boy Is a Gun” is lovelorn plea, not a gory massacre the menacing, clattering loops of “New Magic Wand” or “What’s Good” induce hypnosis but not hostile paralysis. It’s a hazy and grimy and suave art-rap excursion, packed with spectral soul samples and dusty one-man-Madvillain swagger, but turned inward, turned heavenward, vulnerable but also turned pointedly away. Igor, indeed, benefits greatly from your undivided attention. And then, as usual, the undercutting joke, though this one did not, as it usually does, involve the f-word or the other f-word: “Keep it timely tho I’m not tryna have an Oprah episode.” What a card. “If we ever cross paths, feel free to articulate what those moments were for you.” (Present company excepted.) “As much as I would like to paint a picture and tell you my favorite moments, I would rather you form your own,” he wrote in a brief, disarmingly genial Twitter message Thursday night, hours before the midnight release of the Los Angeles rapper-producer-impresario’s sixth full-length solo project. ![]() Tyler, the Creator would like it very much if you’d listen to his new album, Igor, in full, with no preconceived notions and no skipping around and no pesky distractions whatsoever. When you want to monitor additional gear, you can modify existing probes, create your own, or explore our library of customer-submitted probes to find the one you need.Ĭreate Dynamic Network Maps-See your IT infrastructure as it exists in real life on a dynamic network map. Monitor Anything with An IP Address-Intermapper ships with hundreds of probes that can be used out of the box to monitor all kinds of physical or virtual equipment, regardless of vendor. There are lots of network monitoring solutions out there, but few give you the kind of real-time visibility and flexible monitoring that Intermapper provides. Network monitoring helps you reduce the risk of downtime and proactively manage issues before they impact users or customers. Network equipment isn’t fail-proof, and many network administrators lack the visibility they need to spot potential outages before they hit. ![]() If you notice any errors with a building newtork map (eg a device is missing, is connected to another device in the wrong way, should be set to non-polling, etc), submit a help request ticket and assign to ITS - Network.Map and monitor your entire distributed IT environment with a powerful, user-friendly tool Note These maps are manually built and maintained by UMnet administration. For links to access points, click on the switch side of the link to get utilization/error statistics. A highly utilized link will be outlined in yellow or orange. Click on a link between two devices to see that link's utilization and error statistics.Click on a device to see more information, including previous (and current, if applicable) outage times and durations.If a device is grey that should not be, submit a help request ticket to ITS - Network to report the issue. If a device is greyed out with a question mark icon, that means monitoring has been temporarily disabled for it.If a device is reachable but there is some sort of issue with it (eg a link is down), it will turn orange.If a device is completely unreachable, it will be red.Black font means Cisco, and blue font is for Force10. Some switches have red font - that means they are Juniper switches.If a device is behaving as expected, it will be green.Some things to know about device icons in intermapper: ![]() Each map shows all the switches in that building, their interconnects, and their health status. The names of the maps are building abbreviations (eg "D-UNYN" is the Michigan Union), followed by the last 4 digits of the building code. ![]() However, if you see something is listed as down, you know that service is affected, and you do not see an ITS Service Status for the device(s), please call 4-HELP to report the outage.īuilding Network Maps lists network maps by building. The NOC proactively monitors almost all devices in intermapper, so if a device is listed on the outage page most likely the network team is aware and is actively working to fix the issue.If an outage is a minute or less, it is very likely a false positive.You can click on each device to get more detail. The Outages List page lists all current and recent outages. There are two pages that are particularly useful: Outages List Intermapper is a network monitoring tool that checks the status of most network devices on campus. ![]() Thanks to the development of Transformer-based models, the technique of semantic segmentation successfully achieved a great result through an encoder-decoder structure. proposed DeepLabV3 8, a model with an atrous convolution, to deal with this problem and greatly improved the accuracy. fine spatial distribution of small objects in an image) cannot be obtained due to continuous convolutions. They, however, have a problem on the fineness of representation 7. In recent years, CNN-based semantic segmentation approaches have been studied. Such traditional methods commonly still had some difficulties on the segmentation accuracy due to excessive segmentation and/or too much sensitivity to noise. proposed a method for natural images using effective histogram thresholding techniques 6. proposed a Watershed algorithm along with DBMF (linear and Decision based Median Filtering) 5. proposed a method for region- and fuzzy-based segmentation within Watershed Transform 4, and Kaur et al. We expect that this improvement enables the above-mentioned RNN model to generate a more detailed and/or rich captioning.Ī variety of image segmentation techniques has been proposed, such as threshold-based, region-based, edge-based, fuzzy theory-based, and neural network-based one 3. We preferred a pixel-wise classification as the PSI represents more detailed object regions and background information than the results of normal object detection. We introduced pixel-wise semantic information (hereinafter called “PSI”), which is calculated by pixel-wise classification within semantic segmentation, as middle-level information between image and text data. The proposed method introduces middle-level information between text and image data for decreasing ambiguous weight allocation caused by a semantic meaningless word. This research aims to improve the attention modules for image captioning so as to focus on more appropriate image regions according to each input word. Here is a problem that the attention for a preposition “with” just focused on the bottom of the image, that is not a meaningful region for captioning, which leads to the lack of words “table” and “painting” in the generated caption. Right: An output caption of an attention-guided RNN model with its visualized attention for each word. Left: An input image and its ground-truth caption. With inputs of an image feature and a sequentially generated word, the attention can find a related region and reallocate the weight of the image feature in each generation step, which helps to generate the next word. They proposed an attention-guided RNN to solve the problem caused by constant image features. Such constant image features cause inappropriate expressions of generated captions. 2, image features are extracted from an input image as the first step, and used all the subsequent steps within the RNN model without any adaptation. This is because, as pointed out by Xu et al. Although Vinyals’s method can effectively deal with different modal data (images and texts), its captioning accuracy is greatly limited. The CNN focuses on extracting image features, whereas the RNN generates an image caption from constant image features and sequentially generated word information. The architecture of the model is shown in Fig. Therefore, the task can be typically solved with an encoder-decoder model even in recent advancements of image captioning.Ī simple and effective CNN-RNN model for image captioning has been proposed by Vinyals 1. It is usually handled as a translation task, since image features can be regarded as a sentence to be translated. Image captioning is a task to give descriptive words or sentences for an input image. Next I've rebooted the device and started Debian. I've logged into my router and setup a static ip address for the hp5325 based on the mac address as saved in the uboot environment. Where 192.168.1.1 is the ip address of my router. Next I boot into Debian and setup a static ip address as cat /etc/network/interfaces Ok I've checked the date and time are correct in uboot and set the following ip address in uboot: 192.168.1.225. If someone is interested in trying those with the 4.18 kernel/MVEBU package in the meantime, let me know (they should work). I'm currently working on making similar device trees for Debian Buster but there are issues with the Debian Kernels 4.17+ that have stalled that work somewhat. I've created device trees and tested for the following devices: I've published the necessary files and instructions to Github: Using these device trees along with the ssh-based network-console installer image provided by Debian it is now possible to install Debian Stretch on these devices fairly easily.
![]() Once changes are made in the Orientation tool, pressing the Apply button recomputes the preview since the interactive one is only approximate. This lets you correct a slanted horizon in case there was a vertical drift while rotating the camera between shots. Rotate The Center: Rotation controls which direction from the center is up.Vertical adjustment is helpful to adjust the top and bottom boundaries of the panorama to facilitate cropping. Horizontal adjustment is extremely useful for 360° views to adjust the composition for greater impact. ![]() Move The Center: The center of the panorama can be moved horizontally and vertically.The neat thing about doing this interactively is that you do not have to know what these are, just try some and pick the one that looks best to you. Initially, MS ICE automatically guesses, but there are five options: Perspective, Cylinder (Horizontal), Cylinder (Vertical), Sphere (Horizontal) and Sphere (Vertical). Select The Projection: This determine how images are stretched in relation to each other.While it is called Orientation, this tool can do much more: Particularly, adjustments like these are extremely difficult to make without a real-time preview. This is really the nicest part of the MS ICE. The Orientation tool is quite powerful and highly interactive thanks to its 3D graphics implementations. Cropping can also be specified as pixels using entry fields lower in the interface. In Crop mode, which is the default, an adjustable rectangular frame controls which section of the image will be rendered. There is a wide preview area which shows an approximation of the panorama in progress. The fit-to-window button actually sets the minimum zoom on the scale, so that does not help either. When modifications are made which make the panorama bigger, such as changing projection type, there is no way to get the panorama to fit in the viewer anymore. The slider has set limits with a relative scale that depends on the initial size predicted for the panorama. This is the only part of the interface that does not work entirely well. There is also a zoom-slider and fit-to-window button in the toolbar. The most important item being File->New Panorama and variants, almost every other menu item is redundant with some UI element like the Crop and Orientation tools. ![]() This software sheds a traditional menu-bar for a combined menu and toolbar. Its straight-forwards interface is contained within a single window. MS ICE uses 3D acceleration so a modern video card with accelerated drive is required for interactive features. It applies a number of input corrections automatically, including lens vignetting and exposure blending. This software comes into two versions, unsurprisingly both are for Windows, one for 64-bit operating systems, the other for 32-bit ones. panoramas and claims not to be limited by size. It can stitch gigapixel One gigapixel (GP) equals 1000 megapixels (MP). MS ICE is designed for performance and scalability. Output formats are extremely flexible and include JPEG, TIFF, BMP, PNG and HD Photo image formats, as well as Silverlight Deep Zoom and publication directly to the PhotoSynth website. Through WIC it can support DNG and some RAW formats with a suitable codec installed. It reads JPEG images and a variety of other file formats. This software can stitch panoramas up to a 360° x 180° field-of-view. Microsoft Image Composition Editor, or MS ICE for short, is an automatic panorama stitching application from Microsoft Research. Marcel Proust, a great admirer of Verdi’s La Traviata. Local opposition to their unmarried status colours Verdi’s depiction of Giorgio Germont’s disapproval of his son’s affair with Violetta in La Traviata. He and Giuseppina, although in a relationship since 1847, did not marry until 1859. With success came affluence, and in 1851 he moved with his partner, the soprano Giuseppina Strepponi, into a new villa where he lived until the end of his life. The realism of La Traviata, with its courtesan heroine and contemporary setting, caused consternation, and throughout Verdi’s lifetime the opera was usually staged set in the 18th century.īusseto and its environs remained his home for much of his life. Verdi spent much of his career struggling to get his work past the censors, who frequently raised objections on political or moral grounds, and he had to make substantial changes to the text of Rigoletto, based on a play by Victor Hugo, banned as both inflammatory and obscene, before it was permitted on stage. They were not, however, without controversy in their day. Verdi’s discouragement, combined with depression at the death of his first wife, almost made him abandon composition, though his third opera, Nabucco, undertaken at Merelli’s insistence, made him famous overnight.īetween 18 he composed three masterpieces, Rigoletto, Il Trovatore and La Traviata, which remain among his most popular operas. ![]() Un Giorno di Regno was a fiasco the following year, however. His first opera, Oberto, was well received at its La Scala premiere in 1839, and the theatre’s manager, Bartolomeo Merelli, wanted more. At 18 he was rejected by the Milan conservatory, but remained in the city (at Barezzi’s expense) to study privately. The son of an innkeeper, Verdi was born in Le Roncole, near Parma, and went to school in nearby Busseto, where his talent was noticed by Antonio Barezzi, a local merchant, who oversaw his early musical education. It even features in the video game Grand Theft Auto. The Grand March from Aida, meanwhile, has become a staple of the brass band repertory and is sometimes used at weddings, and Verdi’s music can be heard on the soundtracks of films from Zack Snyder’s 300, Claude Berri’s Manon des Sources to Luchino Visconti’s Senso, it has advertised lager, jeans and pasta sauce. In Italy, the Chorus of Hebrew Slaves from Nabucco has long been associated with national unity and solidarity. director Robert Wilson as an actress.Verdi was an outstanding melodist, and some of his arias and choruses – such as La Donna è Mobile from Rigoletto, La Traviata’s Brindisi (the drinking song) and the Anvil Chorus from Il Trovatore – are familiar to millions. She returned again to San Francisco in 1980.Īfter she retired from opera, she moved to the Thalia Theater in Hamburg, Germany, where she worked with U.S. Others followed, including Azucena in "Il trovatore" and Dame Quickly in “Falstaff” by Giuseppe Verdi, Herodias in “Salome” by Richard Strauss, Mother Goose in “The Rake’s Progress” by Igor Stravisnky and many others. In 1962, Červená started her 11-year regular cooperation with the San Francisco Opera in the title role of Georges Bizet’s Carmen, her trademark character. She performed with conductors such as Rafael Kubelik, Herbert von Karajan, Pierre Boulez, Charles Mackerras and Francesco Molinari Pradelli. In the West, Červená was based at the Frankfurt Opera, but she became known for her guest performances in numerous opera house in Europe and the United States, including in Vienna, Milan, Paris, Amsterdam, Los Angeles, Chicago and festivals at Bayreuth and Glyndebourne and many others. The Iron Curtain kept her outside her country for 30 years. “I couldn’t live and sing without freedom,” she once told the Czech public radio. ![]() 9, 1925 in Prague, Červená was as a guest singer at the Unter den Linden opera and the Berlin State Opera in the Soviet-controlled part of Berlin when she emigrated to West Berlin in January 1962 through the last opened crossing in the newly built Berlin Wall. Červená died Sunday at a hospital in the Czech capital where she was being treated for an unspecified illness, the National Theater in Prague said.īorn Sept. PRAGUE - Soňa Červená, a Czech opera singer who became known for playing Carmen and more than 110 roles in San Francisco and other opera houses behind the Iron Curtain, has died. ![]() ![]()
|