I submitted a feature request a year ago but got no traction, and now I just expand and re-close groups before mass closing to double check if I need anything.
> A cake-icing spatula of some kind?
Perhaps! The blade is not tall/wide like a spatula, and the handle is oriented like a knife would be, not a spatula, but... it could be!
> > Or a serrated knife with [a blade] that curves back on itself.
> If the end can also be used as a fork, then that's a cheese knife.
Maybe! I've seen a lot of cheese knives over the years but this one is unlike any I've ever seen.
My guess is that it's for hollowing something out. If so, it'd be for something that's hard to get into but isn't super tough. Like... maybe scraping all the seeds out of a squash or something.
The blade is straight for maybe 4-5" then does a ~80 degree bend to the right and then curves back around to make a full circle back to the blade, making a roughly 2" circle of metal. I'm writing this from memory, so could be off a bit.
... it's basically bent to be a question mark.
Example: https://eknives.com/microtech-combat-troodon-rescue-otf-tool...
Whisper + an LLM can recover some of the gaps by filling in contextually plausible bits, but then it's not a transcript and may contain hallucinations.
There are alternatives that share Whisper internal states with an LLM to improve ASR, as well as approaches that sample N-best hypotheses from Whisper and fine-tune an LLM to distill the hypotheses into a single output. Haven't looked too much into these yet given how expensive each component is to run independently.
I can't speak to how it performs outside of production quality audio, but in the hundreds of hours of subtitles that I've generated I don't think I've seen a single error.
Trick question of course, it's (height, width, channels) for numpy. numpy is fairly well known though and sort of gets away with it, but when your never-seen-before internal company starts doing this, well...