# 학습 실행

# cd /DATA2/ltb/mmyolo
# export PYTHONPATH=$PYTHONPATH:$(pwd)
#CUDA_VISIBLE_DEVICES=0 python tools/train.py configs/it1_worker_helmet/yolov8_l_960_custom_add_head_ff_base.py --work-dir work_dirs/it1_ff_cross_1,1_01 --amp #--resume 
#CUDA_VISIBLE_DEVICES=0 python tools/train.py configs/it1_worker_helmet/yolov8_l_960_custom_add_head_ff_result_2,1,10.py --work-dir work_dirs/it1_load_epoch16_1819_add_head_2,1,10_01 --amp #--resume
#CUDA_VISIBLE_DEVICES=0,1 bash ./tools/dist_train.sh configs/it1_worker_helmet/conequip_helmet_head_cutmix_resize_rotate_1819_ff_base_1,1,1.py 2 --work-dir work_dirs/conequip_helmet_head_cutmix_resize_rotate_1819_ff_base_1,1,1_01 --amp --resume  
# CUDA_VISIBLE_DEVICES=1 python tools/train.py configs/it1_worker_helmet/250526_yolov8_fire_transfer_coco_11class_val_all_crossent.py --work-dir work_dir/test_01 --amp #--resume
CUDA_VISIBLE_DEVICES=0 python tools/train.py configs/250522_config/250627_yolov8_objects365_test_01.py --work-dir work_dir/250627_yolov8_objects365_test_01 --amp --resume
#CUDA_VISIBLE_DEVICES=0 python tools/train.py configs/it1_worker_helmet/it1_yolo8_large_only_head.py --work-dir work_dirs/head_02 --amp #--resume 
#CUDA_VISIBLE_DEVICES=0 python tools/train.py configs/it1_worker_helmet/yolov8-l_add_rotate_angle_fixed.py --work-dir work_dirs/it1_1721_detail_worker_helmet_rotate0.8_01 --amp #--resume 
#CUDA_VISIBLE_DEVICES=1 python tools/train.py configs/it1_worker_helmet/yolov8-l_add_rotate_angle_flexible.py --work-dir work_dirs/it1_1721_detail_worker_helmet_rotate_60to150_0.6_01 --amp --resume 
#CUDA_VISIBLE_DEVICES=0 python tools/train.py configs/it1_worker_helmet/yolov8-l_robo_helmet.py --work-dir work_dirs/it1_ksmi_video_helmet_02 --amp #--resume 

#CUDA_VISIBLE_DEVICES=1 python tools/train.py configs/hd_worker_combined/hd_worker_yolov8-l.py --work-dir work_dirs/hd_worker_yt --amp #--resume