Map numpy audio band arrays to files
Open
enhancement
good first issue
- Dominant language
- Python
- Stars
- 504
- Forks
- 38
- Avg merge
- 9h 44m
- Merged PRs (30d)
- 9
Description
I've noticed that the audio band arrays can be very memory-intensive. I've seen my RAM easily eaten up just from the "analyzing audio" phase.
We could have array data on disk using `numpy.memmap`.
Contributor guide
No contributing guide indexed for this repository
Research direction
Locate the code that creates and consumes the audio band arrays during the “analyzing audio” phase; the issue names NumPy and `numpy.memmap` but no file or test paths. Confirm how those arrays are currently allocated, then verify that the analysis uses on-disk array data without exhausting RAM.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- numpy, python
- Domain
- audio-video-rtc
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 30/100