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@ -60,6 +60,15 @@ default_cfgs = dict(
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url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-vitjx/jx_mixer_l16_224_in21k-846aa33c.pth',
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url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-vitjx/jx_mixer_l16_224_in21k-846aa33c.pth',
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num_classes=21843
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num_classes=21843
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),
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),
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# Mixer ImageNet-21K-P pretraining
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mixer_b16_224_miil_in21k=_cfg(
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url='https://miil-public-eu.oss-eu-central-1.aliyuncs.com/model-zoo/ImageNet_21K_P/models/timm/mixer_b16_224_miil_in21k.pth',
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mean=(0, 0, 0), std=(1, 1, 1), crop_pct=0.875, interpolation='bilinear', num_classes=11221,
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),
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mixer_b16_224_miil=_cfg(
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url='https://miil-public-eu.oss-eu-central-1.aliyuncs.com/model-zoo/ImageNet_21K_P/models/timm/mixer_b16_224_miil.pth',
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mean=(0, 0, 0), std=(1, 1, 1), crop_pct=0.875, interpolation='bilinear',
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),
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)
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)
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@ -255,3 +264,21 @@ def mixer_l16_224_in21k(pretrained=False, **kwargs):
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model_args = dict(patch_size=16, num_blocks=24, hidden_dim=1024, tokens_dim=512, channels_dim=4096, **kwargs)
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model_args = dict(patch_size=16, num_blocks=24, hidden_dim=1024, tokens_dim=512, channels_dim=4096, **kwargs)
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model = _create_mixer('mixer_l16_224_in21k', pretrained=pretrained, **model_args)
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model = _create_mixer('mixer_l16_224_in21k', pretrained=pretrained, **model_args)
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return model
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return model
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@register_model
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def mixer_b16_224_miil(pretrained=False, **kwargs):
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""" Mixer-B/16 224x224. ImageNet-21k pretrained weights.
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Weights taken from: https://github.com/Alibaba-MIIL/ImageNet21K
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"""
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model_args = dict(patch_size=16, num_blocks=12, hidden_dim=768, tokens_dim=384, channels_dim=3072, **kwargs)
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model = _create_mixer('mixer_b16_224_miil', pretrained=pretrained, **model_args)
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return model
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@register_model
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def mixer_b16_224_miil_in21k(pretrained=False, **kwargs):
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""" Mixer-B/16 224x224. ImageNet-1k pretrained weights.
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Weights taken from: https://github.com/Alibaba-MIIL/ImageNet21K
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"""
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model_args = dict(patch_size=16, num_blocks=12, hidden_dim=768, tokens_dim=384, channels_dim=3072, **kwargs)
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model = _create_mixer('mixer_b16_224_miil_in21k', pretrained=pretrained, **model_args)
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return model
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