marimo VS vapoursynth

We do support GitHub Copilot in the pip/conda installable version that you can run locally on your computer. (https://github.com/marimo-team/marimo)

We have considered adding more copilot features for refactoring or text-to-cell.

i use marimo for this sort of stuff. Its a jupyter alike, but can be used to make simple internal apps

https://github.com/marimo-team/marimo

He is an example: https://marimo.io/@public/signal-decomposition

We use web components in our project (a reactive Python notebook that, among other things, lets users build simple web apps [1]) to make it easy for the user to instantiate and compose our UI elements. Users can easily interpolate these elements into markdown, for example, since their representation is just HTML.

[1] https://github.com/marimo-team/marimo

Thanks for sharing! marimo is free and open source (Apache 2.0): https://github.com/marimo-team/marimo

It's been under development for over a year and is used in research, science, and education across a number of labs and companies. We'll have lots more to share soon!

Since ffmpeg CLI still makes me pull ny hair out, I am going to plug vapoursynth:

https://www.vapoursynth.com/

Its Pythonic video filters... But also so much more: https://vsdb.top/

And Staxrip, which makes such good use of ffmpeg, vapoursynth, and dozens of other encoders and tools that I reboot from linux to Windows just to use it: https://github.com/staxrip/staxrip

git clone https://github.com/vapoursynth/vapoursynth cd vapoursynth ./configure make sudo make install

Are you aware of Vapoursynth? https://www.vapoursynth.com/

I have a few options here to process the individual frames for example using ImageData, which exposes the data as an array of pixels, so you could easily 'borrow' some VapourSynth filters for this:

Does the name AviSynth mean anything to you? If so and you want a similar Linux native tool "inspired" by AviSynth, to quote the website, check out http://www.vapoursynth.com/ Just bear in mind that the scripting language is different.

I'm a total newbie to CUDA. I'm trying to implement NVOF in VapourSynth video processing framework. I got the NVOF context initialized. Next step is the buffers!

Download vapoursynth r57 portable from https://github.com/vapoursynth/vapoursynth/releases it's a 7z file so you should have 7-zip installed

Download and compile vapoursynth 1) Go to vapoursynth’s gihub (https://github.com/vapoursynth/vapoursynth/releases) download/wget the tar.gz 2) extract it with tar -xf 3) cd into the folder 4) sudo ./autogen.sh 5) sudo ./configure 6) sudo make install