home.social

#sift — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #sift, aggregated by home.social.

  1. #Navy #Dragonite #Sift #airplane #swat Navy is a special Dragonite, furaffinity.net/user/Sift managed to evolve them in a special way that keeps their Dragonair visual nature and makes them a thousand times cuter, especially when he mistakes civilizations for bugs again.

  2. AI’s Iranian Image War: USF Experts Warn of Public Opinion Weapon - indonesiakini indonesiakini.id/2026/03/07/ais… #AI #InformationLiteracy #SIFT #DeepFakes (my friend & colleague Chad was interviewed)

  3. This morning I started re-listening to this podcast I recorded in May 2022 in Orlando, Florida at ATLIS:

    Podcast479: Teaching About Conspiracy Theories and Media Literacy
    speedofcreativity.org/2022/05/

    More background about my media literacy inquiry project, “Conspiracies and Culture Wars”
    medialiteracy.wesfryer.com/con

    #ConCW #MediaLit #MediaLiteracy #conspiracy #civics #ATLIS #SIFT

  4. Как сравниваются изображения — от MSE до Dino

    Моя страсть к накопительству картинок зародилась еще в эпоху диалапа, когда каждый JPEG проявлялся построчно под писк и скрежет модема, а бэкап стянутых с BBS цифровых сокровищ на дискету напоминал ритуал. С тех пор куча скарба разрослась до масштабов домашнего дата‑центра: здесь доисторические смишные мемы, тонны диснеевского клипарта, сканы журналов, галереи фанарта от известных в узких кругах артоделов, масса неотсортированного фототреша из собственных поездок, картинки природы и красоток, порция клубнички, шедевры CGI, нейроарт и фотографии Элизабет Уинстон. Проблема в том, что весь этот терабайтный зоопарк из разных разрешений, битности и форматов — абсолютно неструктурированная свалка, и попытка найти нужное превращается в квест «убей свои выходные». По мере роста коллекции я пробовал подряд все костыли, которые лучшие умы изобретали для сравнения изображений. В этой статье я пройдусь по эволюционной цепочке: от одноклеточных хэш‑сумм до венца творения — свежесобранного монстра DINOv3. Объять необъятное не выйдет — по каждому методу сравнения можно катать лонгрид иллюстрациями и с примерами кода (что, возможно, и сделаю, если меня не закидают жжёными тряпками). Но сейчас попробую изложить суть: как метод устроен, когда он тащит, а когда выдает откровенный бред. Поехали

    habr.com/ru/articles/986360/

    #hash #sift #dinov2 #moments #histogram #oklab #rgb #orb #сравнение_изображений

  5. Scam alert: Someone tried to catfish me using JH’s profile pic and a bogus account. They were promising a Christmas bonus (which would be very lovely). #sift saved me (this time). Confirmed with JH via another channel, screen-shotted the conversation (name redacted) and reported the matter to mastodon.social.

  6. PSA. Google makes it easier to check a source with three vertical dots ... this has been around about six months. University of Washington faculty helped nudge them to provide this service.

    #misinformationi
    #disinformation
    #SIFT
    #Google

  7. My latest post on installing the most recent version of the #SIFT (SANS Investigative Forensics Toolkit) workstation under #WSL (Windows Subsystem for Linux).

    bakerstreetforensics.com/2024/

  8. Nexo Partners With Sift for Enhanced Digital Asset Fraud Protection - The digital asset firm Nexo has announced its partnership with Sift, aiming to upg... - news.bitcoin.com/nexo-partners #fraudprotection #cryptocurrency #cryptofraud #security #crypto #fraud #nexo #sift

  9. As A.W. Ohlheiser recently wrote in @Vox, the SIFT method, developed by digital literacy expert and CIP research scientist @mikecaulfield, "is a good framework for learning how to evaluate emotionally charged or outrage-inducing online posts in the middle of an unfolding crisis."

    Read more in Vox: vox.com/technology/2023/10/12/
    Learn more about SIFT: hapgood.us/2019/06/19/sift-the

    #MediaLiteracy #FactChecking #SIFT #Misinformation #UWCIP

  10. Tomorrow, chance to hear Mike Caulfield on @bryanalexandee's Future Trends Forum for #highereducation
    "He developed the SIFT method for fact-checking (Stop, Investigate, Find better coverage, and Trace claims)" - from Caulfield's bio at @uwcip #sift #infolit
    shindig.com/login/event/caulfi

  11. Any math person here willing to review my heavy-math thesis chapter? It is around ~7000 words, beyond my supervisors' expertise, and I need to submit by March so he/she/they needs to have a lot of free time this February 🙃

    Keyword: #mutationload #aDNA #PopulationGenetics #conservation #SIFT #phyloP #phastCons

    I have nothing except I owe you one.

  12. Just released my latest project #SIFTMetal - a Metal implementation of the #SIFT algorithm for image processing. Perfect for use in mobile and Apple platforms. Check it out on GitHub and let me know what you think! #ComputerVision #Swift #OpenSource

    github.com/lukevanin/SIFTMetal

  13. #introduction To fill in my profile tags, a thread:

    #TrakEM2 open source software mostly for #connectomics, and supports manual and automatically montaging and aligning overlapping 2D image tiles (with #SIFT features and rigid or elastic transformation models), and reconstructing by painting volumes or tracing branched neuronal arbors neurons plus synapses to map a #connectome from #vEM (volume electron microscopy).

    See: journals.plos.org/plosone/arti

    Git repository at: github.com/trakem2/

  14. Anyone else sift out the #Dehydrated bits from their #MrNoodleCup ? It always grossed me out if I don’t haha. #sift #lunch

  15. Now onto #FijiSc: Fiji is a recursive acronym meaning "Fiji is just ImageJ" fji.sc (and the paper nature.com/articles/nmeth.2019 ) –and #ImageJ is a #java open source software for image processing imagej.nih.gov/ij/index.html written by Wayne Rasband from the #NIH Research Branch.

    An analogy: think of ImageJ as the kernel and Fiji as the rest of the operating system.

    #FijiSc brings to #ImageJ:
    (1) a package manager to install and update plugins, and that crucially enables reproducible science by exporting the whole set of plugins and libraries as an executable;
    (2) a Script Editor imagej.net/scripting/script-ed supporting many languages (#python, #groovy #ruby #scala #clojure and more), all with access to a huge collection of #JVM libraries;
    (3) huge amount of libraries such as #ImgLib2, #JFreeChart for plotting, for GUIs, etc.

    There are many, many plugins. A tiny sample:

    Machine learning-based image segmentation:
    - #LabKit imagej.net/plugins/labkit/
    - #WEKA Trainable Segmentation imagej.net/plugins/tws/index

    3D/4D/ND Visualization:
    - 3D/4D Viewer #3DViewer imagej.net/plugins/3d-viewer/i with ray-tracing, orthoslices, volume rendering, and more
    - #BigDataViewer #BDV imagej.net/plugins/bdv/index for interactively navigate N-dimensional image volumes larger than RAM

    Image registration and serial section alignment:
    - #BigStitcher for registering 3D/4D tiled datasets, with multiview deconvolution and more imagej.net/plugins/bigstitcher
    - #TrakEM2 for montaging in 2D and alinging in 3D collections of serial sections, typically from #vEM (volume electron microscopy) syn.mrc-lmb.cam.ac.uk/acardona
    - #mpicbg libraries for extracting #SIFT and #MOPS features, then finding feature correspondences and estimating rigid and elastic transformation models nature.com/articles/nmeth.2072

    Summarizing #FijiSc is impossible. See the online forum where questions find answers by the hand of the broader community of users and developers forum.image.sc/

  16. To fill in my profile tags, a thread:

    #TrakEM2 is open source software mostly for #connectomics (but found uses well beyond), and provides the means for both manual and automatic montaging and aligning overlapping 2D image tiles (with #SIFT features and rigid or elastic transformation models), and then reconstructing with mostly manual means–by painting with a digital brush–the volumes of structures of interest, as well as trace the branched arbors of e.g., neurons and annotate their synapses, therefore mapping a #connectome from #vEM (volume electron microscopy).

    #TrakEM2 paper at journals.plos.org/plosone/arti

    Git repository at github.com/trakem2/

    For 3D visualization, #TrakEM2 uses the 3D Viewer imagej.net/plugins/3d-viewer/

    As software, #TrakEM2 runs as a plugin of #FijiSc fiji.sc/ and in fact motivated the creation of the #FijiSc software in the first place, to manage its many dependencies and therefore facilitate distribution to the broader #neuroscience community.

    #TrakEM2 was founded in 2005, when terabyte-sized datasets were rare and considered large. The largest dataset that I've successfully managed with #TrakEM2 was about 16 TB. For larger datasets, see #CATMAID below.