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train.sh
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#python -u train.py --save-period 1 --weight "runs/yolov5m_finetune/weights/best.pt" --data "data/eagle003.yaml" --hyp "data/hyps/obb/hyp.finetune_eagle003.yaml" --img-size 768 --batch-size 32 --epochs 100 --device 0 2>&1 | tee eagle_exp4_20221016_a_eagle_dataset_dronevehicle_finetune_hyp.log
#python -u train.py --save-period 1 --weight "runs/yolov5m_finetune/weights/best.pt" --data "data/eagle003.yaml" --hyp "data/hyps/obb/hyp.finetune_eagle003b.yaml" --img-size 768 --batch-size 32 --epochs 100 --device 0 2>&1 | tee eagle_exp5_20221016_b_eagle_dataset_dota_finetune_hyp.log
#python -u train.py --save-period 1 --weight "runs/yolov5m_finetune/weights/best.pt" --data "data/eagle003b.yaml" --hyp "data/hyps/obb/hyp.finetune_eagle003b.yaml" --img-size 768 --batch-size 32 --epochs 100 --device 0 2>&1 | tee eagle_exp6_20221016_c_eagle_longyao_dataset_dota_finetune_hyp.log
#python -u train.py --save-period 1 --weight "runs/yolov5m_finetune/weights/best.pt" --data "data/eagle003c.yaml" --hyp "data/hyps/obb/hyp.finetune_eagle003b.yaml" --img-size 768 --batch-size 32 --epochs 100 --device 0 2>&1 | tee eagle_exp7_20221016_d_eagle_longyao_dataset_val_dota_finetune_hyp.log
#python -u train.py --save-period 1 --weight "runs/yolov5m_finetune/weights/best.pt" --data "data/eagle003c.yaml" --hyp "data/hyps/obb/hyp.finetune_eagle003.yaml" --img-size 768 --batch-size 32 --epochs 100 --device 0 2>&1 | tee eagle_exp8_20221016_e_eagle_longyao_dataset_val_dronevehicle_finetune_hyp.log
#python -u train.py --save-period 1 --weight "yolov5x6.pt" --data "data/eagle003c.yaml" --hyp "data/hyps/obb/hyp.finetune_eagle003b.yaml" --img-size 768 --batch-size 16 --epochs 300 --name exp9 --exist-ok --device 0 2>&1 | tee -a eagle_exp9_20221024_f_eagle_longyao_dataset_val_dota_finetune_hyp_yolov5x6.log
#python -u train.py --save-period 1 --weight "yolov5m6.pt" --data "data/eagle003c.yaml" --hyp "data/hyps/obb/hyp.finetune_eagle003b.yaml" --img-size 768 --batch-size 32 --epochs 100 --name exp10 --exist-ok --device 0 2>&1 | tee -a eagle_exp10_20221027_g_eagle_longyao_dataset_val_dota_finetune_hyp_yolov5m6.log
#python -u train.py --save-period 1 --weight "yolov5m.pt" --data "data/eagle003c.yaml" --hyp "data/hyps/obb/hyp.finetune_eagle003b.yaml" --img-size 768 --batch-size 32 --epochs 100 --name exp11 --exist-ok --device 0 2>&1 | tee -a eagle_exp11_20221028_g_eagle_longyao_dataset_val_dota_finetune_hyp_yolov5m.log
#python -u train.py --save-period 1 --weight "yolov5m6.pt" --data "data/eagle003c.yaml" --hyp "data/hyps/obb/hyp.finetune_eagle003b2.yaml" --img-size 768 --batch-size 32 --epochs 100 --name exp12 --exist-ok --device 0 2>&1 | tee -a eagle_exp12_20221030_h_eagle_longyao_dataset_val_dota_finetune_lrx4_hyp_yolov5m6.log
#python -u train.py --save-period 1 --weight "yolov5x.pt" --data "data/eagle003c.yaml" --hyp "data/hyps/obb/hyp.finetune_eagle003b.yaml" --img-size 768 --batch-size 16 --epochs 100 --name exp13 --exist-ok --device 0 2>&1 | tee -a eagle_exp13_20221101_g_eagle_longyao_dataset_val_dota_finetune_hyp_yolov5x.log
python -u train.py --save-period 1 --weight "yolov5x.pt" --data "data/eagle003c.yaml" --hyp "data/hyps/obb/hyp.finetune_eagle003b.yaml" --img-size 640 --batch-size 16 --epochs 100 --name exp14 --exist-ok --device 0 2>&1 | tee -a eagle_exp14_20221103_i_eagle_longyao_dataset_val_dota_finetune_hyp_yolov5x_640.log