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- Model: MobileNetV3
- Transforms:
- - Resize:
- interp: LINEAR
- keep_ratio: false
- target_size: !!python/tuple
- - 256
- - 256
- - Normalize:
- apply_to_tar: true
- max_val:
- - 255.0
- - 255.0
- - 255.0
- mean:
- - 0.5
- - 0.5
- - 0.5
- min_val:
- - 0
- - 0
- - 0
- std:
- - 0.5
- - 0.5
- - 0.5
- _Attributes:
- best_accuracy: !!python/object/apply:numpy.core.multiarray.scalar
- - !!python/object/apply:numpy.dtype
- args:
- - f4
- - false
- - true
- state: !!python/tuple
- - 3
- - <
- - null
- - null
- - null
- - -1
- - -1
- - 0
- - !!binary |
- mH95Pw==
- best_model_epoch: 2
- eval_metrics:
- top1: 0.9746031761169434
- fixed_input_shape: null
- in_channels: 3
- labels:
- - agricultural
- - airplane
- - baseballdiamond
- - beach
- - buildings
- - chaparral
- - denseresidential
- - forest
- - freeway
- - golfcourse
- - harbor
- - intersection
- - mediumresidential
- - mobilehomepark
- - overpass
- - parkinglot
- - river
- - runway
- - sparseresidential
- - storagetanks
- - tenniscourt
- model_type: classifier
- num_classes: 21
- _init_params:
- in_channels: 3
- losses: null
- num_classes: 21
- use_mixed_loss: false
- completed_epochs: 2
- raw_params:
- num_classes: 21
- status: Normal
- version: 2.2.0
|
