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params.yaml 963 B

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  1. base:
  2. project: defect_detection
  3. pkg_list_fname: pkg_list.txt
  4. random_state: 0
  5. data_load:
  6. dataset_url: https://github.com/abin24/Magnetic-tile-defect-datasets./archive/refs/heads/master.zip
  7. data_dir: data
  8. orig_dirname: Magnetic-tile-defect-datasets.-master
  9. new_dirname: MAGNETIC_TILE_SURFACE_DEFECTS
  10. data_split:
  11. test_pct: 0.20
  12. train_img_dir_path: data/MAGNETIC_TILE_SURFACE_DEFECTS/train_images
  13. train_mask_dir_path: data/MAGNETIC_TILE_SURFACE_DEFECTS/train_masks
  14. test_img_dir_path: data/MAGNETIC_TILE_SURFACE_DEFECTS/test_images
  15. test_mask_dir_path: data/MAGNETIC_TILE_SURFACE_DEFECTS/test_masks
  16. train:
  17. img_size: 224
  18. valid_pct: 0.2
  19. learning_rate: 0.02
  20. batch_size: 16
  21. n_epochs: 30
  22. use_cpu: false
  23. model_pickle_fpath: models/model_pickle_fastai.pkl
  24. augmentations: {do_flip: false, flip_vert: false, max_rotate: 10.0, min_zoom: 1.0,
  25. max_zoom: 1.0}
  26. evaluate:
  27. save_test_preds: true
  28. metrics_file: evaluation/metrics.json
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