vapoursynth VS llm

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

That's a great use case, you might be able to do this if you've got a copy and paste on the command line with

https://github.com/simonw/llm

In between. An alias like pdfwtf translating to "paste | llm command | copy"

I added support for this model to my LLM CLI tool via a new plugin: https://github.com/simonw/llm-command-r

So now you can do this:

    pipx install llm

If you're willing to use the CLI, Simon Willison's llm library[0] should do the trick.

[0] https://github.com/simonw/llm

I'm not thrilled about https://github.com/GoogleCloudPlatform/localllm/blob/main/ll... calling their Python package "llm" and installing "llm" as a CLI command, when my similar https://llm.datasette.io/ project has that namespace reserved on PyPI already: https://pypi.org/project/llm/

I've been gleefully exploring the intersection of LLMs and CLI utilities for a few months now - they are such a great fit for each other! The unix philosophy of piping things together is a perfect fit for how LLMs work.

I've mostly been exploring this with my https://llm.datasette.io/ CLI tool, but I have a few other one-off tools as well: https://github.com/simonw/blip-caption and https://github.com/simonw/ospeak

I'm puzzled that more people aren't loudly exploring this space (LLM+CLI) - it's really fun.

Seems nice if you're using c# or java. It also supports python, but for that Simon's llm library is nice because he designed it as both a library and a command line tool: https://github.com/simonw/llm