satellit_sam.cli.predict
satellit_sam.cli.predict
Auto-generated from
satellit_sam/src/satellit_sam/cli/predict.pybysatellit_sam/scripts/generate_api_docs.py.
Predict command group and command handlers for the satellit CLI.
Functions
image_masks
def image_masks(
image_path: Annotated[
Path,
typer.Option(
"--image",
help="Path to the input image file.",
exists=True,
file_okay=True,
dir_okay=False,
readable=True,
),
],
output_path: Annotated[
Path,
typer.Option(
"--output-path",
help="Directory path where prediction outputs will be saved.",
),
] = Path("output/predict"),
text_prompt: Annotated[
str | None,
typer.Option(
"--text", help="Text prompt for segmentation filtering (e.g. 'tree')."
),
] = None,
bbox_prompts: Annotated[
list[str] | None,
typer.Option(
"--bbox",
help="Bounding-box prompt in image coordinates as x1,y1,x2,y2. Repeat --bbox to provide multiple boxes.",
),
] = None,
point_prompts: Annotated[
list[str] | None,
typer.Option(
"--point",
help="Point prompt in image coordinates as x,y. Repeat --point to provide multiple points. Current SAM3 processor support approximates point prompts as small box prompts.",
),
] = None,
model: Annotated[
Literal["sam3", "sam2", "dinov3"],
typer.Option(
"--model",
help="Model backend to use: sam3 (default), sam2, or dinov3. dinov3 currently supports --text only.",
),
] = "sam3",
threshold: Annotated[
float,
typer.Option(
"--threshold",
min=0.0,
max=1.0,
help="Confidence threshold for keeping predicted masks (0.0-1.0).",
),
] = 0.5,
tile_size: Annotated[
int,
typer.Option(
"--tile-size", min=1, help="Tile size in pixels for streamed prediction."
),
] = 640,
tile_overlap: Annotated[
int,
typer.Option(
"--tile-overlap",
min=0,
help="Overlap between neighboring prediction tiles in pixels.",
),
] = 64,
merge_iou_threshold: Annotated[
float,
typer.Option(
"--merge-iou-threshold",
min=0.0,
max=1.0,
help="IoU threshold for global cross-tile NMS merge (0.0-1.0).",
),
] = 0.5,
weak_labels_csv: Annotated[
Path | None,
typer.Option(
"--weak-labels-csv",
help="Path to labels_tiles.csv generated by 'label weak'. Uses stored per-tree tile-local bboxes as box prompts.",
exists=True,
file_okay=True,
dir_okay=False,
readable=True,
),
] = None,
) -> None:
Predict and visualize image masks from text, bbox, and/or point prompts.
Arguments
image_path: Input image path. output_path: Output directory for generated artifacts. text_prompt: Optional text prompt. bbox_prompts: Optional image-space bbox prompts. point_prompts: Optional image-space point prompts. model: Segmentation model version selector. threshold: Confidence threshold for keeping predicted masks. tile_size: Tile size in pixels for streamed prediction. tile_overlap: Tile overlap in pixels for streamed prediction. merge_iou_threshold: IoU threshold used for cross-tile NMS merge. weak_labels_csv: Optional weak-label CSV with tile-local prompts.
Exceptions
typer.BadParameter: If prompt arguments are invalid.
Classes
No public classes.