libreyolo wilddet3d

Run wilddet3d 3D detection from the command line.

Synopsis

bash
libreyolo wilddet3d source=IMAGE intrinsics=camera.npy [OPTIONS]

Arguments

ArgumentDefaultMeaning
sourcerequiredImage path or directory
modelupstream default checkpointLocal checkpoint or the mirrored default filename
intrinsicsrequiredOriginal-image 3x3 calibration .npy file
textNoneJSON category list, e.g. ["car","person"]
bboxesNoneJSON original-pixel xyxy box list
pointsNoneJSON xy points, optionally grouped
labelsNoneJSON binary labels matching points
prompt-modegeometricgeometric or visual
depthNoneOriginal-resolution depth .npy in metres
deviceautoauto, cpu, or a CUDA device
runtime-pathNoneOptional upstream runtime checkout
runtime-pythonNonePython interpreter for the Mac/CPU runtime
confNoneCombined ranking-score threshold
conf3dNone3D confidence threshold
iouNone2D NMS IoU threshold
saveFalseSave projected cuboids
output-pathNoneSingle-image output filename
jsonfalseJSON output to stdout
quietFalseSuppress stderr
help-jsonFalseDump command schema as JSON

Examples

Inspect the installed command schema:

bash
libreyolo wilddet3d --help-json

Predict on the shipped sample image. For commands requiring calibration, camera.npy must contain its measured original-image 3x3 intrinsic matrix. Install the model's runtime before prediction. Pass exactly one prompt: text, bboxes or points.

bash
libreyolo wilddet3d source=https://raw.githubusercontent.com/LibreYOLO/libreyolo/release/libreyolo/assets/parkour.jpg intrinsics=camera.npy text='["person"]'

Request machine-readable results:

bash
libreyolo wilddet3d source=https://raw.githubusercontent.com/LibreYOLO/libreyolo/release/libreyolo/assets/parkour.jpg intrinsics=camera.npy 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 wilddet3d for installation, calibration and model constraints.

Verified against LibreYOLO v1.6.0.