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https://github.com/open-mmlab/mmpretrain.git
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d56170a734
* add config for resnest test * fix config * add label smoothing * add memcached * minor fix * fix bug * fix config * add config * minor fix * fix configs * use EResize * change interpolation * add more configs * add docsting * add unittest * remove unnecessary changes * minor fix * add more docstring * fix linting * add efficient backbone * add config * add Edge Residual * fix bug * remove unnecessary files * refactor * add resize in crop to ensure crop size is output size * fix bug and add comments * test * fix * add more configs * add more configs * add more configs * fix bug * add model zoo * fix * reorganize code * add edge tpu * add edge tpu converter * rename * update readme * reorganize code and config * Rename configs of EfficientNet, and add metafile & model_zoo * Remove `backend='pillow'` * Add comments about EfficientNet-EdgeTPU * Rename the convert tool of EfficientNet. * Refactor EfficientNet and update docstring. * Update EfficientNet-EdgeTPU config * Fix unit tests Co-authored-by: lixinran <lixr423@outlook.com> Co-authored-by: lixinran <lixinran@sensetime.com> Co-authored-by: mzr1996 <mzr1996@163.com>
13 lines
340 B
Python
13 lines
340 B
Python
# model settings
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model = dict(
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type='ImageClassifier',
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backbone=dict(type='EfficientNet', arch='b0'),
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neck=dict(type='GlobalAveragePooling'),
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head=dict(
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type='LinearClsHead',
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num_classes=1000,
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in_channels=1280,
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loss=dict(type='CrossEntropyLoss', loss_weight=1.0),
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topk=(1, 5),
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))
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