libreyolo detany3d

Run detany3d 3D detection from the command line.

Synopsis

bash

libreyolo detany3d source=IMAGE [OPTIONS]

Arguments

Argument	Default	Meaning
`source`	`required`	Image path or directory
`model`	`upstream default checkpoint`	Local checkpoint or the mirrored default filename
`runtime-path`	`None`	DetAny3D checkout; defaults to DETANY3D_PATH
`runtime-python`	`None`	Interpreter for the separate runtime environment
`text`	`None`	JSON category list or a text caption
`bboxes`	`None`	JSON original-pixel xyxy box list
`points`	`None`	JSON positive points, optionally grouped by object
`conf`	`None`	Text detector box-confidence threshold
`text-threshold`	`None`	Text token-confidence threshold
`grounding-checkpoint`	`None`	Optional GroundingDINO Swin-B checkpoint path
`grounding-config`	`None`	Optional GroundingDINO Swin-B config path
`device`	`auto`	auto, cpu, or CUDA device
`save`	`False`	Save projected cuboids
`output-path`	`None`	Single-image output filename
`json`	`false`	JSON output to stdout
`quiet`	`False`	Suppress stderr
`help-json`	`false`	Flag: dump the command schema as JSON and exit

Examples

Inspect the installed command schema:

bash

libreyolo detany3d --help-json

Predict on the shipped sample image. DetAny3D estimates the camera intrinsics itself, so no calibration file is needed. Install the model's runtime before prediction.

bash

libreyolo detany3d source=https://raw.githubusercontent.com/LibreYOLO/libreyolo/release/libreyolo/assets/parkour.jpg text='["person"]'

Request machine-readable results:

bash

libreyolo detany3d source=https://raw.githubusercontent.com/LibreYOLO/libreyolo/release/libreyolo/assets/parkour.jpg text='["person"]' --json --quiet

Notes

Configuration, runtime-loading and I/O errors exit through the shared CLI error handler. --json writes structured results to stdout; diagnostics use stderr. --quiet suppresses stderr. See detany3d for installation, calibration and model constraints.