Agent Skills
› opengeos/segment-geospatial
› cli-anything-samgeo
cli-anything-samgeo
GitHub基于SAM模型的卫星/航拍影像分割CLI工具,支持多模型及项目、数据、导出等操作。
触发场景
需要批量处理卫星或无人机影像分割任务
通过命令行自动化执行地理空间图像分析流程
安装
npx skills add opengeos/segment-geospatial --skill cli-anything-samgeo -g -y
SKILL.md
Frontmatter
{
"name": "cli-anything-samgeo",
"description": "CLI harness for segment-geospatial — segment satellite\/aerial imagery with SAM models from the command line"
}
cli-anything-samgeo
Segment geospatial imagery (satellite, aerial, drone) using Meta AI's Segment Anything Model (SAM) family from the command line. Supports SAM v1, SAM 2, SAM 3, FastSAM, HQ-SAM, and LangSAM (text-based).
Installation
Requires Python >= 3.10.
pip install segment-geospatial[all]
cd agent-harness && pip install -e .
Syntax
cli-anything-samgeo [--json] [--project PATH] COMMAND [ARGS...]
Global flags:
--json— Machine-readable JSON output (use this for agent consumption)--project PATH— Path to project JSON file (required for project-scoped commands)
Command Groups
project — Project management
cli-anything-samgeo project new -n NAME -o PATH [-s SOURCE] [-t MODEL_TYPE] [-m MODEL_ID]
cli-anything-samgeo --project PATH project info
cli-anything-samgeo --project PATH project set-source IMAGE_PATH
cli-anything-samgeo --project PATH project history [-l LIMIT]
model — Model management
cli-anything-samgeo model list [-t TYPE]
cli-anything-samgeo model info MODEL_TYPE [-m MODEL_ID]
cli-anything-samgeo model check MODEL_TYPE
Model types: sam, sam2, sam3, fast_sam, hq_sam, text_sam
segment — Segmentation operations
cli-anything-samgeo --project PATH segment automatic -o OUTPUT [--min-size N] [--max-size N]
cli-anything-samgeo --project PATH segment points -o OUTPUT -c "x1,y1;x2,y2" -l "1,0"
cli-anything-samgeo --project PATH segment boxes -o OUTPUT -b "x1,y1,x2,y2"
cli-anything-samgeo --project PATH segment text -o OUTPUT -t "buildings"
data — Data operations
cli-anything-samgeo data info RASTER_PATH
cli-anything-samgeo data download-tiles -o OUTPUT -b "west,south,east,north" [-z ZOOM] [-s SOURCE]
cli-anything-samgeo data reproject INPUT OUTPUT [--crs EPSG:CODE]
cli-anything-samgeo data split INPUT OUT_DIR [--tile-size N] [--overlap N]
cli-anything-samgeo data basemaps [--all]
vector — Vector operations
cli-anything-samgeo vector convert RASTER_MASK OUTPUT [--simplify TOLERANCE]
cli-anything-samgeo vector info VECTOR_PATH
cli-anything-samgeo vector filter INPUT OUTPUT [--min-area N] [--max-area N]
export — Export operations
cli-anything-samgeo --project PATH export render OUTPUT [-f FORMAT] [--overwrite]
cli-anything-samgeo export formats
Formats: geotiff, cog, gpkg, shp, geojson, png
session — Session management
cli-anything-samgeo --project PATH session status
cli-anything-samgeo --project PATH session history [-l LIMIT]
Example Workflows
Satellite image segmentation pipeline
# Download tiles
cli-anything-samgeo --json data download-tiles -o image.tif -b "-122.42,37.77,-122.40,37.79" -z 17
# Create project
cli-anything-samgeo --json project new -n urban-seg -o project.json -s image.tif -t sam2
# Run automatic segmentation
cli-anything-samgeo --json --project project.json segment automatic -o masks.tif
# Convert to GeoPackage
cli-anything-samgeo --json vector convert masks.tif buildings.gpkg --simplify 1.0
# Export as GeoJSON
cli-anything-samgeo --json --project project.json export render output.geojson -f geojson --overwrite
Text-based segmentation
cli-anything-samgeo --json project new -n text-seg -o proj.json -s image.tif -t text_sam
cli-anything-samgeo --json --project proj.json segment text -o masks.tif -t "buildings"
cli-anything-samgeo --json vector convert masks.tif buildings.gpkg
Agent Guidance
- Always use
--jsonfor machine-readable output - Create a project first before running segmentation commands
- The
--projectflag must come before the command group - Check model availability with
model check TYPEbefore segmenting - Use
data infoto inspect rasters before processing - Export formats are auto-detected from file extension in
vector convert - For large images, use
--batchwithsegment automatic
版本历史
- 8c2ccb7 当前 2026-07-25 09:47


