Still a cool tool though! Although it seems partly AI generated.
HN is a niche audience but it seems like it's the first question everyone has when opening a repo.
Which is odd because the first question we should have is, does it work.
Personally I can't see myself ever writing the bulk of the README again, life's too short.
However, orchestrating things like decord with CUDA kernels, managing VRAM across parallel processes, and getting audio sync right with local TTS requires a deep understanding of the stack. An LLM can help write a function, but it won't solve the architectural 'glue' needed to make it a reliable CLI tool.
The project is open-source precisely because it’s a work in progress. It needs the 'human touch' for things like the RT-DETR auto-zoom and more nuanced video editing logic. PRs are more than welcome—I'd love to see where the community can push this beyond its current state.
This is the first sentence in your features section, so it is not strange if users don't understand if this tool is running locally or not.
The Tech:
Looking for Collaborators: I’m currently looking for PRs specifically around: It's fully dockerized, and also has a makefile. Would love some feedback on the pipeline architecture!