Redesigned YOLOv3:

Model	Batch	Scale	AP^val 0.5	Weight
YOLOv3	1xb16	640		ckpt

Train YOLOv3

Taking training YOLOv3-S on COCO as the example,

python train.py --cuda -d coco --root path/to/coco -m yolov3 -bs 16 --fp16

Taking training YOLOv3-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 yolov3 -bs 16 --fp16

Taking testing YOLOv3-S on COCO-val as the example,

python test.py --cuda -d coco --root path/to/coco -m yolov3 --weight path/to/yolov3.pth --show

Taking evaluating YOLOv3-S on COCO-val as the example,

python eval.py --cuda -d coco --root path/to/coco -m yolov3 --weight path/to/yolov3.pth

python demo.py --mode image --path_to_img path/to/image_dirs/ --cuda -m yolov3 --weight path/to/weight --show

python demo.py --mode video --path_to_vid path/to/video --cuda -m yolov3 --weight path/to/weight --show --gif

python demo.py --mode camera --cuda -m yolov3 --weight path/to/weight --show --gif

Model	Batch	Scale	AP^val 0.5:0.95	AP^val 0.5	FLOPs ^(G)	Params ^(M)	Weight
YOLOv3	1xb16	640					ckpt