Deeplabv3_Plus-R50.yaml 802 B

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  1. Global:
  2. model: Deeplabv3_Plus-R50
  3. mode: check_dataset # check_dataset/train/evaluate/predict
  4. dataset_dir: "/paddle/dataset/paddlex/seg/seg_optic_examples"
  5. device: gpu:0,1,2,3
  6. output: "output"
  7. CheckDataset:
  8. convert:
  9. enable: False
  10. src_dataset_type: null
  11. split:
  12. enable: False
  13. train_percent: null
  14. val_percent: null
  15. Train:
  16. epochs_iters: 500
  17. num_classes: 2
  18. batch_size: 2
  19. learning_rate: 0.01
  20. pretrain_weight_path: null
  21. warmup_steps: 0
  22. resume_path: null
  23. log_interval: 10
  24. eval_interval: 100
  25. Evaluate:
  26. weight_path: "output/best_model/model.pdparams"
  27. log_interval: 10
  28. Predict:
  29. model_dir: "output/best_model/model"
  30. input_path: "/paddle/dataset/paddlex/seg/seg_optic_examples/images/H0002.jpg"
  31. kernel_option:
  32. run_mode: paddle
  33. batch_size: 1