paddlers/output/deeplabv3p/epoch_8/model.yml

Model: DeepLabV3P
Transforms:
- Resize:
    interp: LINEAR
    keep_ratio: false
    target_size: !!python/tuple
    - 512
    - 512
- Normalize:
    apply_to_tar: true
    max_val:
    - 255.0
    - 255.0
    - 255.0
    - 255.0
    - 255.0
    - 255.0
    - 255.0
    - 255.0
    - 255.0
    - 255.0
    mean:
    - 0.5
    - 0.5
    - 0.5
    - 0.5
    - 0.5
    - 0.5
    - 0.5
    - 0.5
    - 0.5
    - 0.5
    min_val:
    - 0
    - 0
    - 0
    - 0
    - 0
    - 0
    - 0
    - 0
    - 0
    - 0
    std:
    - 0.5
    - 0.5
    - 0.5
    - 0.5
    - 0.5
    - 0.5
    - 0.5
    - 0.5
    - 0.5
    - 0.5
- ReloadMask: {}
_Attributes:
  best_accuracy: !!python/object/apply:numpy.core.multiarray.scalar
  - !!python/object/apply:numpy.dtype
    args:
    - f8
    - false
    - true
    state: !!python/tuple
    - 3
    - <
    - null
    - null
    - null
    - -1
    - -1
    - 0
  - !!binary |
    kJZWhJPQ3D8=
  best_model_epoch: 6
  eval_metrics:
    miou: 0.43511770883800993
  fixed_input_shape: null
  in_channels: null
  labels:
  - cloud
  - shadow
  - snow
  - water
  - land
  model_type: segmenter
  num_classes: 5
_init_params:
  losses: null
  num_classes: 5
  use_mixed_loss: false
completed_epochs: 8
raw_params:
  backbone: ResNet50_vd
  in_channels: 10
  num_classes: 5
status: Normal
version: 2.2.0