YOLO-Tutorial-v2/yolo/models/yolov9

YOLOv9 (GElan):

• VOC

• COCO

Model	Batch	Scale	APval 0.5	Weight	Logs
YOLOv9-S	1xb16	640		[ckpt]()	[log]()

Train YOLOv9

Single GPU

Taking training YOLOv9-S on COCO as the example,

python train.py --cuda -d coco --root path/to/coco -m yolov9_s -bs 16 --fp16 

Multi GPU

Taking training YOLOv9-S on COCO as the example,

python -m torch.distributed.run --nproc_per_node=8 train.py --cuda --distributed -d coco --root path/to/coco -m yolov9_s -bs 256 --fp16 

Test YOLOv9

Taking testing YOLOv9-S on COCO-val as the example,

python test.py --cuda -d coco --root path/to/coco -m yolov9_s --weight path/to/yolov9.pth --show 

Evaluate YOLOv9

Taking evaluating YOLOv9-S on COCO-val as the example,

python eval.py --cuda -d coco --root path/to/coco -m yolov9_s --weight path/to/yolov9.pth 

Demo

Detect with Image

python demo.py --mode image --path_to_img path/to/image_dirs/ --cuda -m yolov9_s --weight path/to/weight --show

Detect with Video

python demo.py --mode video --path_to_vid path/to/video --cuda -m yolov9_s --weight path/to/weight --show --gif

Detect with Camera

python demo.py --mode camera --cuda -m yolov9_s --weight path/to/weight --show --gif

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Model	Batch	Scale	APval 0.5:0.95	APval 0.5	FLOPs (G)	Params (M)	Weight	Logs
YOLOv9-S	1xb16	640			26.9	8.9