mpv-prescalers
gpu.js
mpv-prescalers | gpu.js | |
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3 | 9 | |
343 | 14,973 | |
- | 0.4% | |
7.0 | 0.0 | |
4 months ago | 3 months ago | |
JavaScript | ||
GNU Lesser General Public License v3.0 only | MIT License |
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mpv-prescalers
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Hello there! I've been trying to come up with the best playback possible for TV/Film and today I covered part of the Mob vs Koyama fight. Let me know what you think!
I see you want to "cover [color, sharpness, and motion] in the best way possible", but you don't really explain how you're doing this. What quality is the source video? Are you re-encoding it, or are you applying different shaders to the playback? Many people use mpv for playback, and if you were using an available shader then maybe they could copy you to obtain a similar result if they liked it. You also don't include any other source information, but I'll get to that in a sec.
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Best shaders possible?
I don't know GLSL at all, but since I am a programmer, I am now trying to make LUMA version of Anime4K* shaders anyway. If you compare ravu-r2.hook and ravu-r2-rgb.hook at https://github.com/bjin/mpv-prescalers/tree/master/compute, the difference is small: it seems the -rgb file works like the LUMA version thanks to extraction of luminance from an RGB color https://stackoverflow.com/questions/596216/formula-to-determine-perceived-brightness-of-rgb-color (kind of like an emulation)
- How to use ravu-lite-r3.hook?
gpu.js
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Deep Learning in JavaScript
You might already be familiar, but a GPU.js backend can provide some speedups via good old WebGL -- no need for WebGPU just yet!
[0]: https://github.com/gpujs/gpu.js/
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Show HN: Shadeup – A language that makes WebGPU easier
Very cool project.
I learned WebGL three years ago but before I dove into the underlying concepts I used GPU.js [1] to quickly prototype my project. Eventually, the abstraction prevented necessary performance optimizations so I switched to vanilla GLSL and these vanilla GLSL "shaders" were initially ejected from GPU.js.
Writing JS code then looking at the generated WebGPU output is a great way to get familiar with WebGPU. Thanks for this.
[1] https://github.com/gpujs/gpu.js/
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Gpu.js: GPU Accelerated JavaScript
I used this library on my project but I think it's no longer maintained. I PRed a fix for buggy atan2 over a year ago and no movement [1]. I do highly recommend it if you're a web developer interested in harnessing parallel processing.
[1] https://github.com/gpujs/gpu.js/pull/683
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Brain.js: GPU Accelerated Neural Networks in JavaScript
Thanks for pointing this out. I've submitted a PR to resolve this: https://github.com/gpujs/gpu.js/issues/757
That being said, if you're not building from source (you're running an LTS version of node on a supported platform), you don't need to worry about python or many of the build deps.
- GPU.js
- For what projects, Nodejs is an absolute No No?
What are some alternatives?
Anime4K - A High-Quality Real Time Upscaler for Anime Video
numjs - Like NumPy, in JavaScript
mpv-settings - basically my settings for MPV
headless-gl - 🎃 Windowless WebGL for node.js
3d-game-shaders-for-beginners - 🎮 A step-by-step guide to implementing SSAO, depth of field, lighting, normal mapping, and more for your 3D game.
math-clamp - Clamp a number
aladino - 🧞♂️ Your magic WebGL carpet
math-sum - Sum numbers
Brain.js - 🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js
ndarray - 📈 Multidimensional arrays for JavaScript
tract - Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference
webgpu - WebGPU for Node [Deprecated, Unmaintained]