facebookresearch / facebookresearch/segment-anything

The everything generation of official Demo

Open
#737 6 comments 19 reactions 0 assignees View on GitHub
Dominant language
Jupyter Notebook
Stars
54.9k
Forks
6.4k
PR merge metrics
No merged PRs in 30d

Description

I use SAM to generate every objects in image based on SAM source code. But I found the results of SAM offical demo are better than those of SamAutomaticMaskGenerator of souce code. Could you tell me Why? Did you process specially the selection points in your official demo?

Thanks for your answers.

Contributor guide

Open the contributing guide

Research direction

Compare the official demo entry point with SamAutomaticMaskGenerator in the SAM source code, focusing first on how selection points are handled. Determine whether the two paths use different inputs or processing, and document the cause of the differing results as the completion criterion.

Written by the indexing model from the issue text.

Assessment

Domain
computer-vision, machine-learning
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.