sam-cell-seg
OfficialSAM-based cell segmentation pipelines.
Authorletta-ai
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill offers guidance for SAM (Segment Anything Model) based cell segmentation, mask processing, and polygon conversion, enabling automated analysis of microscopy images without manual delineation.
Core Features & Use Cases
- SAM segmentation: Utilize MobileSAM or SAM models for initial cell segmentation.
- Mask-to-polygon conversion: Convert binary masks into polygon coordinates suitable for downstream analysis.
- CLI-driven pipelines: Build command-line tools to process CSV coordinate data and integrate with inference workflows.
Quick Start
Example: Run the sam-cell-seg workflow on input images to generate a JSON of polygon coordinates for each detected cell.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: sam-cell-seg Download link: https://github.com/letta-ai/skills/archive/main.zip#sam-cell-seg Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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