ByteDance-Seed / ByteDance-Seed/Depth-Anything-3
Best practices for scanning and processing
- Dominant language
- Python
- Stars
- 6.3k
- Forks
- 702
- PR merge metrics
- No merged PRs in 30d
Description
HI! Very lovely work, many thanks for your contribution to the field 🙏
Couple of questions
- Do you have some recommendations on expected frame rate for video processing? Are we talking 1/2hz?
- Im looking to reduce the GPU memory need for large datasets (e.g 4000) - how would you tackle this? I've tried batching depth estimation using known camera poses and put the GLB together at the end, but no dice
350 frames all in one (like intended)
350 frames batched in 50 slices
Thank you!
Contributor guide
No contributing guide indexed for this repository
Research direction
This is a discussion about frame rates and GPU memory for large video scans, but it names no file, test, or entry point. Start by reviewing the repository's documented scanning and processing guidance. Done would require a clear, documented recommendation for expected frame rates and handling large datasets.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning, performance
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100