PP-FormulaNet_plus-S.yaml 1.1 KB

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  1. Global:
  2. model: PP-FormulaNet_plus-S
  3. mode: check_dataset # check_dataset/train/evaluate/predict
  4. dataset_dir: "./dataset/ocr_rec_latexocr_dataset_example"
  5. device: gpu:0,1,2,3
  6. output: "output"
  7. CheckDataset:
  8. convert:
  9. enable: False
  10. src_dataset_type: FormulaRecDataset
  11. split:
  12. enable: False
  13. train_percent: null
  14. val_percent: null
  15. Train:
  16. epochs_iters: 20
  17. batch_size: 14
  18. learning_rate: 0.0001
  19. pretrain_weight_path: https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/PP-FormulaNet_plus-S_pretrained.pdparams
  20. resume_path: null
  21. log_interval: 20
  22. eval_interval: 1
  23. save_interval: 1
  24. Evaluate:
  25. batch_size: 20
  26. weight_path: output/best_accuracy/best_accuracy.pdparams
  27. log_interval: 1
  28. Export:
  29. weight_path: https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/PP-FormulaNet_plus-S_pretrained.pdparams
  30. Predict:
  31. batch_size: 1
  32. model_dir: "output/best_accuracy/inference"
  33. input: "https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/general_formula_rec_001.png"
  34. kernel_option:
  35. run_mode: paddle