libreyolo wilddet3d
Run wilddet3d 3D detection from the command line.
Synopsis
bash
libreyolo wilddet3d source=IMAGE intrinsics=camera.npy [OPTIONS]Arguments
| Argument | Default | Meaning |
|---|---|---|
source | required | Image path or directory |
model | upstream default checkpoint | Local checkpoint or the mirrored default filename |
intrinsics | required | Original-image 3x3 calibration .npy file |
text | None | JSON category list, e.g. ["car","person"] |
bboxes | None | JSON original-pixel xyxy box list |
points | None | JSON xy points, optionally grouped |
labels | None | JSON binary labels matching points |
prompt-mode | geometric | geometric or visual |
depth | None | Original-resolution depth .npy in metres |
device | auto | auto, cpu, or a CUDA device |
runtime-path | None | Optional upstream runtime checkout |
runtime-python | None | Python interpreter for the Mac/CPU runtime |
conf | None | Combined ranking-score threshold |
conf3d | None | 3D confidence threshold |
iou | None | 2D NMS IoU threshold |
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 | Dump command schema as JSON |
Examples
Inspect the installed command schema:
bash
libreyolo wilddet3d --help-jsonPredict 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 --quietNotes
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.