model.yml 1021 B

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  1. Model: DeepLabV3P
  2. Transforms:
  3. - Resize:
  4. interp: LINEAR
  5. keep_ratio: false
  6. target_size: !!python/tuple
  7. - 512
  8. - 512
  9. - Normalize:
  10. apply_to_tar: true
  11. max_val:
  12. - 255.0
  13. - 255.0
  14. - 255.0
  15. mean:
  16. - 0.5
  17. - 0.5
  18. - 0.5
  19. min_val:
  20. - 0
  21. - 0
  22. - 0
  23. std:
  24. - 0.5
  25. - 0.5
  26. - 0.5
  27. - ReloadMask: {}
  28. _Attributes:
  29. best_accuracy: !!python/object/apply:numpy.core.multiarray.scalar
  30. - !!python/object/apply:numpy.dtype
  31. args:
  32. - f8
  33. - false
  34. - true
  35. state: !!python/tuple
  36. - 3
  37. - <
  38. - null
  39. - null
  40. - null
  41. - -1
  42. - -1
  43. - 0
  44. - !!binary |
  45. 3DXeQstw4j8=
  46. best_model_epoch: 2
  47. eval_metrics:
  48. miou: 0.5762687974944884
  49. fixed_input_shape: null
  50. in_channels: null
  51. labels:
  52. - road
  53. - non_road
  54. model_type: segmenter
  55. num_classes: 2
  56. _init_params:
  57. losses: null
  58. num_classes: 2
  59. use_mixed_loss: false
  60. completed_epochs: 2
  61. raw_params:
  62. backbone: ResNet50_vd
  63. in_channels: 3
  64. num_classes: 2
  65. status: Normal
  66. version: 2.2.0