bytedance / bytedance/ContentV
motion dynamics
- Dominant language
- Python
- Stars
- 130
- Forks
- 7
- PR merge metrics
- No merged PRs in 30d
Description
Thanks for your insightful work, especially the data processing module. I'm interested in understanding how to compute the dynamic score of foreground/background.
The authors recommend obtaining background optical flow via perspective transformation fitting and rectifying the foreground optical flow.
This process is a bit unclear to me;
could you provide more details? Thanks for your help.
Contributor guide
No contributing guide indexed for this repository
Research direction
The issue names no files, tests, or entry points. Start by locating the data processing and motion-dynamics implementation, then trace how foreground and background optical flow are computed. Done means documenting the perspective-transformation fitting, foreground-flow rectification, and dynamic-score calculation clearly enough to reproduce them.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100