Meshroom VS whisper

Take a look at Meshroom from https://alicevision.org/

It's a pretty decent tool, although not sure if videos work well.

I once tried to build a mesh from an aerial video by extracting certain frames and the result was ok-ish

You'll need to get some practice with photogrammetry or other 3D scanning to get the appropriate shapes for each animal, this should be more or less something the right size with adequate straps and padding - https://alicevision.org is a good place to learn about photogrammetry.

Have you tried Alice Vision? https://alicevision.org

Huh. https://github.com/alicevision/meshroom/issues/1650 suggests you can get the camera positions into blender, and then putting pyramids views in, and then get the interested area.

Another alternative for ptgui is https://alicevision.org and it is free

A new version of Meshroom released last month, so I decided to compare the performance and results of the two with the same dataset and mostly the same settings.

Photogrametrie https://alicevision.org/

Let’s not talk about local models as the hardware requirements are way beyond most of these people’s reach. I have a MacBook Air with an M2 chip and 8GB of RAM and can hardly run Whisper locally, so I use this HuggingFace space.

Last week, I launched notesGPT, a free and open source voice note app that has 35,000 visitors, 7,000 users, and over 1,000 GitHub stars so far in the last week. It allows you to record a voice note, transcribes it uses Whisper, and uses Mixtral via Together to extract action items and display them in an action items view. It’s also fully open source and comes equipped with authentication, storage, vector search, action items, and is fully responsive on mobile for ease of use.

I found a pretty good discussion in the topic here:

https://github.com/openai/whisper/discussions/1243

There is a plot of language performance on their repo: https://github.com/openai/whisper

I am not aware of a multi-lingual leaderboard for speech recognition models.

I don't know how OP does it, but here's how I'd do it:

* Generate a transcript by runing Whisper against the podcast audio file: https://github.com/openai/whisper

* Upload transcript to ChatGPT and ask it to summarize.

* Automate all the above.

Ahh, that makes sense. I've been building something like that, but only from other languages into English using Whisper

Whisper already generates subtitles[0], supporting VTT and SRT so this is just a thin wrapper around that.

[0]: https://github.com/openai/whisper/blob/e58f28804528831904c3b...

> although it does require you to wear headphones so the bot doesn't hear itself and get interrupted.

Maybe you can rely on some sort of speaker identification to sort this out?

https://github.com/openai/whisper/discussions/264