train.sh 502 B

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  1. # Train YOLO
  2. python train.py \
  3. --cuda \
  4. -d voc \
  5. --root /mnt/share/ssd2/dataset/ \
  6. -m rtdetr_n \
  7. -bs 16 \
  8. -size 640 \
  9. --wp_epoch 1 \
  10. --max_epoch 150 \
  11. --eval_epoch 10 \
  12. --ema \
  13. --fp16 \
  14. --multi_scale \
  15. --mosaic 0 \
  16. --mixup 0
  17. # --resume weights/coco/yolox_s/yolox_s_best.pth \
  18. # --pretrained weights/coco/yolo_free_medium/yolo_free_medium_39.46.pth \
  19. # --eval_first