bytedance / bytedance/ContentV

motion dynamics

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Dominant language
Python
Stars
130
Forks
7
PR merge metrics
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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.

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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

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