ByteDance-Seed / ByteDance-Seed/Depth-Anything-3
Nesting other models say nest DA3 base with DA3 metric depth large
- Dominant language
- Python
- Stars
- 6.3k
- Forks
- 702
- PR merge metrics
- No merged PRs in 30d
Description
Hi, thank you for your work. Is there any documentation as to how DA3 Large-Giant Nested works? I want to get metric depth,extrinsics,intrinsics at minimal cost hence I was wondering if there would be a way to nest DA3 Base and DA3 large metric depth models ... thanks
Contributor guide
No contributing guide indexed for this repository
Research direction
The issue names no files, tests, or entry points. Start by locating the existing documentation and model-loading guidance for DA3 Base, Large, Giant, and metric-depth models; done means documenting whether these models can be nested to obtain metric depth, extrinsics, and intrinsics at lower cost.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100