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#encoder

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Boiling Steam<p>FFmpeg 8.0 with Vulkan based decoder and encoders: <a href="https://ffmpeg.org/index.html#pr8.0" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="">ffmpeg.org/index.html#pr8.0</span><span class="invisible"></span></a> <br><a href="https://mastodon.cloud/tags/linux" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>linux</span></a> <a href="https://mastodon.cloud/tags/update" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>update</span></a> <a href="https://mastodon.cloud/tags/release" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>release</span></a> <a href="https://mastodon.cloud/tags/foss" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>foss</span></a> <a href="https://mastodon.cloud/tags/ffmpeg" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ffmpeg</span></a> <a href="https://mastodon.cloud/tags/vulkan" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>vulkan</span></a> <a href="https://mastodon.cloud/tags/encoder" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>encoder</span></a> <a href="https://mastodon.cloud/tags/decoder" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>decoder</span></a></p>
Andreas Wagner<p>It just occurred to me that the ELECTRA training objective is quite similar to OCR post-correction tasks. Do you agree? And if this is so, what does follow from it? Should we be training ELECTRA models on historical documents? (I mean rather than BERT models, and geared specifically towards this post-correction task.)</p><p><a href="https://hcommons.social/tags/llm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>llm</span></a> <a href="https://hcommons.social/tags/electra" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>electra</span></a> <a href="https://hcommons.social/tags/encoder" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>encoder</span></a> <a href="https://hcommons.social/tags/retrodigitization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>retrodigitization</span></a> <a href="https://hcommons.social/tags/history" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>history</span></a></p>
Blabla Linux<p><strong>Voici un de mes logiciel | Selene Media Encoder | Convertisseur Audio/Vidéo | ARTICLE DE BLOG</strong></p> <p><a href="https://peertube.blablalinux.be/w/qkkFK6C23aAxhhSdLNLWq9" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">peertube.blablalinux.be/w/qkkF</span><span class="invisible">K6C23aAxhhSdLNLWq9</span></a></p>
RTN<p><a href="https://chaos.social/tags/ESA" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ESA</span></a>:<br>"<br>So nehmen Sie Mondlandungsvideos auf – von körnig bis HD<br>"<br>"Wenn das nächste Mal Astronautinnen und Astronauten auf dem Mond landen, werden wir ihn in High Definition sehen. Die Übertragung erfolgt in Farbe, digital und mit bis zu 60 Bildern pro Sekunde."</p><p><a href="https://www.esa.int/Space_in_Member_States/Germany/So_nehmen_Sie_Mondlandungsvideos_auf_von_koernig_bis_HD" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">esa.int/Space_in_Member_States</span><span class="invisible">/Germany/So_nehmen_Sie_Mondlandungsvideos_auf_von_koernig_bis_HD</span></a></p><p>28.5.2025</p><p><a href="https://chaos.social/tags/CCSDS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CCSDS</span></a> <a href="https://chaos.social/tags/DLR" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DLR</span></a> <a href="https://chaos.social/tags/Encoder" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Encoder</span></a> <a href="https://chaos.social/tags/HDR" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HDR</span></a> <a href="https://chaos.social/tags/HDTV" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HDTV</span></a> <a href="https://chaos.social/tags/K%C3%B6ln" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Köln</span></a> <a href="https://chaos.social/tags/LUNA" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LUNA</span></a> <a href="https://chaos.social/tags/Mond" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Mond</span></a> <a href="https://chaos.social/tags/Mondlandung" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Mondlandung</span></a> <a href="https://chaos.social/tags/Moonlight" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Moonlight</span></a> <a href="https://chaos.social/tags/Raumfahrt" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Raumfahrt</span></a> <a href="https://chaos.social/tags/SpaceFlight" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SpaceFlight</span></a> <a href="https://chaos.social/tags/UHD" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>UHD</span></a> <a href="https://chaos.social/tags/Video" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Video</span></a></p>
IT News<p>Look! It’s a Knob! It’s a Jack! It’s Euroknob! - Are your Eurorack modules too crowded? Sick of your patch cables making it hard to... - <a href="https://hackaday.com/2025/04/28/look-its-a-knob-its-a-jack-its-euroknob/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">hackaday.com/2025/04/28/look-i</span><span class="invisible">ts-a-knob-its-a-jack-its-euroknob/</span></a> <a href="https://schleuss.online/tags/musicalhacks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>musicalhacks</span></a> <a href="https://schleuss.online/tags/synthesizer" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>synthesizer</span></a> <a href="https://schleuss.online/tags/eurorack" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>eurorack</span></a> <a href="https://schleuss.online/tags/magnetic" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>magnetic</span></a> <a href="https://schleuss.online/tags/encoder" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>encoder</span></a> #3.5-mm <a href="https://schleuss.online/tags/as5600" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>as5600</span></a> <a href="https://schleuss.online/tags/patch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>patch</span></a> <a href="https://schleuss.online/tags/jack" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>jack</span></a> <a href="https://schleuss.online/tags/plug" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>plug</span></a> <a href="https://schleuss.online/tags/trs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>trs</span></a></p>
Jörg 🇩🇪🇬🇧🇪🇺<p><a href="https://troet.cafe/tags/ffmpeg" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ffmpeg</span></a> nachinstalliert. Das löste das Problem unter <a href="https://troet.cafe/tags/Windows" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Windows</span></a>. Hat aber auch nicht geholfen. Wahrscheinlich bleibt mir nix anderes übrig, als extra dafür nun eine VM mit Windows aufzusetzen. Wollte ich eigentlich nicht.</p><p>Leider habe ich keine Video Schnittsoftware als <a href="https://troet.cafe/tags/Opensource" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Opensource</span></a> gefunden, die die Features von Cuttermaran bietet.<br>* Schnitt auch auf B-Frame<br>* Geschnittene Videos werden nur kopiert. Nur die Schnittstellen werden über den <a href="https://troet.cafe/tags/Encoder" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Encoder</span></a> geschleust.</p><p>Any idea?</p><p><a href="https://troet.cafe/tags/followerpower" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>followerpower</span></a> <a href="https://troet.cafe/tags/fedihelp" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>fedihelp</span></a></p>
IT News<p>Hacking Digital Calipers for Automated Measurements and Sorta-Micron Accuracy - We’ll take a guess that most readers have a set of digital calipers somewhere clos... - <a href="https://hackaday.com/2025/03/06/hacking-digital-calipers-for-automated-measurements-and-sorta-micron-accuracy/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">hackaday.com/2025/03/06/hackin</span><span class="invisible">g-digital-calipers-for-automated-measurements-and-sorta-micron-accuracy/</span></a> <a href="https://schleuss.online/tags/levelshifter" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>levelshifter</span></a> <a href="https://schleuss.online/tags/raspberrypi" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>raspberrypi</span></a> <a href="https://schleuss.online/tags/toolhacks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>toolhacks</span></a> <a href="https://schleuss.online/tags/metrology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>metrology</span></a> <a href="https://schleuss.online/tags/calipers" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>calipers</span></a> <a href="https://schleuss.online/tags/encoder" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>encoder</span></a> <a href="https://schleuss.online/tags/serial" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>serial</span></a></p>
IT News<p>Lathe Outfitted with Electronic Gearbox - Running a metal lathe is not for the faint of heart. Without proper knowledge and ... - <a href="https://hackaday.com/2024/09/19/lathe-outfitted-with-electronic-gearbox/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">hackaday.com/2024/09/19/lathe-</span><span class="invisible">outfitted-with-electronic-gearbox/</span></a> <a href="https://schleuss.online/tags/steppermotor" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>steppermotor</span></a> <a href="https://schleuss.online/tags/changegears" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>changegears</span></a> <a href="https://schleuss.online/tags/electronics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>electronics</span></a> <a href="https://schleuss.online/tags/toolhacks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>toolhacks</span></a> <a href="https://schleuss.online/tags/gearratio" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>gearratio</span></a> <a href="https://schleuss.online/tags/teensy4" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>teensy4</span></a>.1 <a href="https://schleuss.online/tags/arduino" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>arduino</span></a> <a href="https://schleuss.online/tags/encoder" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>encoder</span></a> <a href="https://schleuss.online/tags/gearbox" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>gearbox</span></a> <a href="https://schleuss.online/tags/lathe" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>lathe</span></a></p>
IT News<p>Electronic Etch-A-Sketch, No Microcontroller Required - In a lot of ways, Etch-A-Sketch is the perfect toy; simple, easy to use, creative,... - <a href="https://hackaday.com/2024/06/20/electronic-etch-a-sketch-no-microcontroller-required/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">hackaday.com/2024/06/20/electr</span><span class="invisible">onic-etch-a-sketch-no-microcontroller-required/</span></a> #7400-series <a href="https://schleuss.online/tags/demultiplex" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>demultiplex</span></a> <a href="https://schleuss.online/tags/etchasketch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>etchasketch</span></a> <a href="https://schleuss.online/tags/multiplex" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>multiplex</span></a> <a href="https://schleuss.online/tags/toyhacks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>toyhacks</span></a> <a href="https://schleuss.online/tags/discrete" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>discrete</span></a> <a href="https://schleuss.online/tags/encoder" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>encoder</span></a> <a href="https://schleuss.online/tags/matrix" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>matrix</span></a> <a href="https://schleuss.online/tags/logic" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>logic</span></a> <a href="https://schleuss.online/tags/sram" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>sram</span></a> <a href="https://schleuss.online/tags/led" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>led</span></a></p>
carlyn<p>Continuing on with that WebExtension, but with a detour in custom Encoders</p><p><a href="https://www.whynotestflight.com/excuses/how-do-custom-encoders-work/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">whynotestflight.com/excuses/ho</span><span class="invisible">w-do-custom-encoders-work/</span></a></p><p>Found the best thing for it was copying and making crazy graphs of some existing encoders in the Apple/GitHub repos. Here's 4</p><p>I found the comparison between the two different JSONEncoder implementations particularly interesting. </p><p><a href="https://mastodon.social/tags/Codable" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Codable</span></a>, <a href="https://mastodon.social/tags/Encoder" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Encoder</span></a>, <a href="https://mastodon.social/tags/SwiftLang" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SwiftLang</span></a>, <a href="https://mastodon.social/tags/JSON" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>JSON</span></a>, <a href="https://mastodon.social/tags/JSONEncoder" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>JSONEncoder</span></a>, <a href="https://mastodon.social/tags/URIEncoder" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>URIEncoder</span></a></p>

Zhou et al. propose a noise-aware #deeplearning model 'NAFSA-Net' for #underwater acoustic signal #denoising which adopts #encoder & stacked fullband-subband attention (FSA) blocks to capture both global and fine-grained local dependencies of features
ieeexplore.ieee.org/abstract/d

ieeexplore.ieee.orgA Novel Noise-Aware Deep Learning Model for Underwater Acoustic DenoisingUnderwater acoustic signal denoising technology aims to overcome the challenge of recovering valuable ship target signals from noisy audios by suppressing underwater background noise. Traditional statistical-based denoising techniques are difficult to be applied effectively in complex underwater environments, especially in the case of extremely low signal-to-noise ratios (SNRs). To address these problems, we propose a noise-aware deep learning model with fullband-subband attention network (NAFSA-Net) for underwater acoustic signal denoising. NAFSA-Net adopts an encoder to extract the feature representation of the input audio. Subsequently, the noise subnet and the target subnet are designed to estimate the noise component and the target component simultaneously. Specifically, some stacked fullband-subband attention (FSA) blocks are deployed in each subnet to capture both global dependencies and fine-grained local dependencies of features. Furthermore, we introduce an interaction module to transmit auxiliary information from the noise subnet to the target subnet. Finally, we propose an improved weight SI-SNR loss function to optimize the training of our model. Experimental results show that our proposed NAFSA-Net substantially outperforms traditional methods and competitive DNN-based solutions in denoising underwater noisy signals with very low SNRs. More importantly, our proposals achieve equally excellent performance on both unseen datasets, which indicates that NAFSA-Net can be a more robust choice for real-world underwater acoustic denoising systems.