25 lines
770 B
Python
25 lines
770 B
Python
_base_ = [
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'../_base_/models/efficientnet_l2.py',
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'../_base_/datasets/imagenet_bs32.py',
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'../_base_/schedules/imagenet_bs256.py',
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'../_base_/default_runtime.py',
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]
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# dataset settings
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train_pipeline = [
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dict(type='LoadImageFromFile'),
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dict(type='EfficientNetRandomCrop', scale=800),
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dict(type='RandomFlip', prob=0.5, direction='horizontal'),
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dict(type='PackInputs'),
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]
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test_pipeline = [
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dict(type='LoadImageFromFile'),
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dict(type='EfficientNetCenterCrop', crop_size=800),
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dict(type='PackInputs'),
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]
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train_dataloader = dict(batch_size=8, dataset=dict(pipeline=train_pipeline))
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val_dataloader = dict(batch_size=8, dataset=dict(pipeline=test_pipeline))
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test_dataloader = dict(batch_size=8, dataset=dict(pipeline=test_pipeline))
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