# bash setup.sh
# torch 1.9.0

# video_demo (original)

# python demo/video_demo.py \
# test.mp4 /SSD/cvprw/AIC23/BoxInstSeg/configs/aic23/swin-l.py /SSD/cvprw/AIC23/BoxInstSeg/box2mask_swin-large_coco_50e.pth \
# --device "cuda:0" \
# --score-thr 0.1 \
# --out inferenced_test.mp4 

# box2mask-t with swin-L

python -m torch.distributed.launch \
--nproc_per_node=2 \
tools/train.py \
--work-dir ./work_dirs/final-swin-l-640 \
/data/cvprw/AIC23/detect/BoxInstSeg/configs/aic23/swin-l-640.py \
--launcher pytorch