https://en.wikipedia.org/wiki/Flattr figured out some parts of this. Notably, you picked your own total monthly donation, and then clicked a button on participating sites to allocate a fraction of your total to them. AFAICT it worked as advertised, but raised new issues with donation behavior. E.g. I obviously like curl every month, so should I click its button monthly? Twice monthly? If I am a developer of some other useful OSS software, should I click curl's button and the curl devs click my button? Does the money just slosh around between merchant-customers? Is that good?
This loaded most of the way down the page for me, with the little grid diagram thing at the top of the screen. Causing me to immediately scroll upwards (a non-intuitive direction) really exemplifying the point, haha.
Our goal is to make data accessible through good user experiences and focus. Whether that is being able to spin up a local database directly from the app, or simply making the query experience as intuitive as possible, we are really pushing on making the database usable.
That page mentions support for noSQL databases, but it looks like this open source version only supports SQL. Just want to call that out for clarification.
Is the long term intent eventually to have parity between the open source desktop app and the cloud version (at least in terms of database type support)?
Correct. Our goal is to have all of our data sources across all Outerbase products powered by our SDK - https://github.com/outerbase/sdk. Currently the Studio product is not powered by it but our cloud and other offerings are.
I am trying to make efficient gst pipelines for security cameras. I only took a quick look at GPS so far. The UX for making connections is a little weird, but so far the whole tool seems to work as advertised.
Can you recommend a tool for dicing up 2h digitizations of VHS tapes? I want to play the 2h video, seek around easily, mark 'chapters' and give them filenames, then do a no-transcode rough cut extraction of each chapter into its own video.
Interesting approach, i like the aesthetic. When you say 'add audio' is a big task , does this mean the videos after cutting up don't have audio, or just that the preview doesn't have audio? the latter wouldn't be a problem for the use case of slicing up home videos. I have the same task as parent, might have to make a weekend project out of it.
Thanks :) The preview doesn't play audio. But the sliced output has audio.
The UX should be a lot smoother once I get around to non-blocking inputs and the audio player. For now, futzing around with mpv or a fully-featured video editor might be the way to go.
Yeah, I play a VHS tape and capture the whole thing. Maybe I should be using a scene detector to split files on camera cuts, which would be roughly correct for home movies (but not for TV shows).
That's where I am now. I'd like to optimize out the retyping and duplication of time strings.
I want the player ui (I'm using mpv) to have a command that:
1. Remembers the last end time to use as this chapter's start time
2. Gets the current time to use as chapter-end.
3. Accepts the name (e.g. 'chapter1').
4. Runs the ffmpeg copy command.
Perhaps mpv+lua can already handle this. I see commands for setting a loop range and for calling a subprocess. Not sure how I'd input the chapter name. Maybe I'll have an LLM name the chapters for me :)
u r on right track with llm, just tell it that you will give input file and set of start, end times and that it should generate the command for u. As a bonus ask it to give u the example as well so that it doesn't misunderstands! i think even chatgpt mini should be able to do it.
By having an LLM name the chapters, I meant having whisper do speechrec on the chapter and then asking an LM to summarize the content into a name up to k chars.
Note that you can align the weeks (or not) by adjusting the width at print time.