Huanshere / Huanshere/VideoLingo
烧录字幕加速：mac电脑 m芯片，通过VideoToolbox和Metal来加速视频编解码
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 18.5k
- Forks
- 2k
- Avg merge
- 7h 41m
- Merged PRs (30d)
- 12
Description
比如：fmpeg -hwaccel metal -i input.mp4 -c:v h264_videotoolbox -b:v 2M output.mp4
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue names VideoToolbox, Metal, and an ffmpeg hardware-encoding command, but no repository files, tests, or entry points. Start by locating the subtitle burn-in and video-encoding path, then determine how macOS Apple-silicon acceleration could be integrated and verify that subtitle output still completes correctly.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- audio-video-rtc, desktop, performance
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100