Pipeline config: a bundled preset name (default, confident, lenient, stable) or a path to a custom config file. Run 'geotrax config show' to list presets or 'geotrax config copy' to customize.
--set, -st
KEY=VALUE
Override a pipeline config value for this run; repeat for more than one, e.g. --set conf=0.35 --set iou=0.6. KEY is a dotted path ('ultralytics.conf') or any unambiguous tail of one ('conf'); an ambiguous or unknown key is an error that lists the candidates. VALUE is read with YAML rules, so true/null/0.35/[0,1,2] all mean what they do in the config file. Use the dedicated flag instead where one exists (it validates its input); passing both for the same key is an error.
Root folder for pipeline outputs. A bare name (e.g. 'results') creates a sub-folder next to each input video; an absolute path is used as-is for all inputs in a batch (not recommended when video filenames are not unique across the batch — outputs may overwrite each other). Also sets the base under which plots/ is created. Defaults to cfg -> output -> folder, historical default: 'results'.
--log-path, -lp
LOG_PATH
Where to write detailed logs: a directory (an auto-named <stage><timestamp><pid>.log file is created inside it, so concurrent or later runs never share a file) or a full file path ending in .log or .txt (any other new path is created as a directory). Defaults to a platform-specific log directory.
--verbose, -v
Also show INFO messages on the console (default: warnings and key notices only).
Custom path to the folder with orthophotos (.png, .tif, .txt). Defaults to cfg -> input -> ortho_folder, then 'ORTHOPHOTOS' at the same level as 'PROCESSED' in 'input'.
Path to the folder with lane segmentation CSV files (used for lane assignment during georeferencing); the corresponding overlay PNGs are also used as plot backgrounds when segmentation plotting is enabled. Defaults to cfg -> input -> segmentation_folder, then '<ortho-folder>/segmentations'.
Georeferencing registration detector. Classical (OpenCV): orb, sift, rsift, brisk, kaze, akaze. Learning-based (kornia, use --geo-device): xfeat, disk, dedode, keynet, loftr. CAUTION: the reference frame is registered against a north-up orthophoto, so the pair can differ by an arbitrary rotation - only keynet and the classical detectors are rotation invariant. Orthophotos are also very large; lower cfg -> georef -> matching -> downsample_ratio before using a learned detector. Defaults to cfg -> georef -> matching -> detector_name.
Torch device for the learning-based georeferencing detectors/matchers ('auto' picks cuda > mps > cpu); ignored by the classical detectors and independent of --geo-gpu (OpenCV CUDA). Defaults to cfg -> georef -> matching -> device.