Can anyone please explain how segmentaion during detection helps tracking of an object?
Open
- Dominant language
- Python
- Stars
- 3.6k
- Forks
- 804
- PR merge metrics
- No merged PRs in 30d
Description
As SiamMask is a Tracking By Segmentation pipeline and this helps to keep a more accurate representation of the object across time.
Here in the codes can someone please point out where is segmentation results are being integrated during tracking?
Contributor guide
No contributing guide indexed for this repository
Research direction
No specific file, test, or entry point is identified in the issue. Trace the repository's tracking and segmentation pipeline to locate where segmentation results are used during tracking, then document that integration clearly with references to the relevant code.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- computer-vision
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100