eval

boxmot eval

Evaluate tracking performance

Usage:

boxmot eval [OPTIONS]

Options:

Name	Type	Description	Default
--source	text	file/dir/URL/glob, 0 for webcam	0
--imgsz, --img-size	parse_tuple	inference size h,w (e.g. 640,480 or 640x480)	None
--fps	integer	video frame-rate	30
--conf	float	min confidence threshold	0.01
--iou	float	IoU threshold for NMS	0.7
--device	text	cuda device(s), e.g. 0 or 0,1,2,3 or cpu	``
--project	Path	save results to project/name	/home/runner/work/boxmot/boxmot/runs
--name	text	save results to project/name	``
--exist-ok	boolean	existing project/name ok, do not increment	True
--half	boolean	use FP16 half-precision inference	False
--vid-stride	integer	video frame-rate stride	1
--ci	boolean	reuse existing runs in CI (no UI)	False
--tracking-method	text	deepocsort, botsort, strongsort, ...	deepocsort
--verbose	boolean	print detailed logs	False
--agnostic-nms	boolean	class-agnostic NMS	False
--gsi	boolean	apply Gaussian smoothing interpolation	False
--n-trials	integer	number of trials for evolutionary tuning	4
--objectives	text	objectives for tuning: HOTA, MOTA, IDF1	['HOTA', 'MOTA', 'IDF1']
--show	boolean	display tracking in a window	False
--show-labels / --hide-labels	boolean	show or hide detection labels	True
--show-conf / --hide-conf	boolean	show or hide detection confidences	True
--show-trajectories	boolean	overlay past trajectories	False
--save-txt	boolean	save results to a .txt file	False
--save-crop	boolean	save cropped detections	False
--save	boolean	save annotated video	False
--line-width	integer	bounding box line width	None
--per-class	boolean	track each class separately	False
--yolo-model	Path	one or more YOLO weights for detection	[PosixPath('/home/runner/work/boxmot/boxmot/boxmot/engine/weights/yolov8n.pt')]
--reid-model	Path	one or more ReID model weights	[PosixPath('/home/runner/work/boxmot/boxmot/boxmot/engine/weights/osnet_x0_25_msmt17.pt')]
--classes	integer	filter by class indices	[0]
--help	boolean	Show this message and exit.	False