20 lines
722 B
Python
20 lines
722 B
Python
_base_ = [
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'../_base_/models/resnet50.py', '../_base_/datasets/cub_bs8_448.py',
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'../_base_/schedules/cub_bs64.py', '../_base_/default_runtime.py'
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]
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# use pre-train weight converted from https://github.com/Alibaba-MIIL/ImageNet21K # noqa
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checkpoint = 'https://download.openmmlab.com/mmclassification/v0/resnet/resnet50_3rdparty-mill_in21k_20220331-faac000b.pth' # noqa
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model = dict(
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type='ImageClassifier',
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backbone=dict(
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init_cfg=dict(
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type='Pretrained', checkpoint=checkpoint, prefix='backbone')),
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head=dict(num_classes=200, ))
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log_config = dict(interval=20) # log every 20 intervals
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checkpoint_config = dict(
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interval=1, max_keep_ckpts=3) # save last three checkpoints
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