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# MetaFormer
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A repository for the code used to create and train the model defined in “MetaFormer : A Unified Meta Framework for Fine-Grained Recognition” [arxiv:2203.02751](http://arxiv.org/abs/2203.02751)
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pip install opencv-python==4.5.1.48 yacs==0.1.8
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```
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#### data preparation
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Download [inat21,18,17](https://github.com/visipedia/inat_comp),[CUB](http://www.vision.caltech.edu/visipedia/CUB-200-2011.html),[NABirds](https://dl.allaboutbirds.org/nabirds),[stanfordcars](https://ai.stanford.edu/~jkrause/cars/car_dataset.html), and[aircraft](https://www.robots.ox.ac.uk/~vgg/data/fgvc-aircraft/), put them in respective folders (\<root\>/datasets/<dataset_name>) and Unzip file. The folder sturture as follow:
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```
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datasets
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|————inraturelist2021
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[](https://paperswithcode.com/sota/fine-grained-image-classification-on-cub-200?p=metaformer-a-unified-meta-framework-for-fine)
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# MetaFormer
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A repository for the code used to create and train the model defined in “MetaFormer : A Unified Meta Framework for Fine-Grained Recognition” [arxiv:2203.02751](http://arxiv.org/abs/2203.02751)
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pip install opencv-python==4.5.1.48 yacs==0.1.8
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```
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#### data preparation
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Download [inat21,18,17](https://github.com/visipedia/inat_comp),[CUB](http://www.vision.caltech.edu/visipedia/CUB-200-2011.html),[NABirds](https://dl.allaboutbirds.org/nabirds),[stanfordcars](https://ai.stanford.edu/~jkrause/cars/car_dataset.html), and [aircraft](https://www.robots.ox.ac.uk/~vgg/data/fgvc-aircraft/), put them in respective folders (\<root\>/datasets/<dataset_name>) and Unzip file. The folder sturture as follow:
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```
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datasets
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|————inraturelist2021
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