model.yml 958 B

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  1. Model: DeepLabV3P
  2. Transforms:
  3. - Resize:
  4. interp: LINEAR
  5. keep_ratio: false
  6. target_size:
  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:
  50. - 1
  51. - 3
  52. - 512
  53. - 512
  54. in_channels: null
  55. labels:
  56. - road
  57. - non_road
  58. model_type: segmenter
  59. num_classes: 2
  60. _init_params:
  61. losses: null
  62. num_classes: 2
  63. use_mixed_loss: false
  64. completed_epochs: 0
  65. status: Infer
  66. version: 2.2.0