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@@ -8,10 +8,10 @@ tags:
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  library_name: DanishFungi
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  license: cc-by-nc-4.0
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  ---
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- # Model card for BVRA/inception_v4.ft_in1k_df20m_299
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  ## Model Details
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- - **Model Type:** inception_v4.ft_in1k_df20m_299
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  - **Model Stats:**
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  - Params (M): ??
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  - Image size: 299 x 299
@@ -27,15 +27,35 @@ import torch
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  import torchvision.transforms as T
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  from PIL import Image
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  from urllib.request import urlopen
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- model = timm.create_model("hf-hub:BVRA/inception_v4.ft_in1k_df20m_299", pretrained=True)
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  model = model.eval()
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- train_transforms = T.Compose([T.Resize(299),
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  T.ToTensor(),
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  T.Normalize([0.5, 0.5, 0.5], [0.5, 0.5, 0.5])])
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  img = Image.open(PATH_TO_YOUR_IMAGE)
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  output = model(train_transforms(img).unsqueeze(0)) # output is (batch_size, num_features) shaped tensor
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- # output is a (1, num_features) shaped tensor
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  ```
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- ## Citation
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- https://openaccess.thecvf.com/content/WACV2022/papers/Picek_Danish_Fungi_2020_-_Not_Just_Another_Image_Recognition_Dataset_WACV_2022_paper.pdf
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  library_name: DanishFungi
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  license: cc-by-nc-4.0
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  ---
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+ # Model card for BVRA/inception_v4.in1k_ft_df20m_299
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  ## Model Details
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+ - **Model Type:** Danish Fungi Classification
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  - **Model Stats:**
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  - Params (M): ??
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  - Image size: 299 x 299
 
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  import torchvision.transforms as T
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  from PIL import Image
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  from urllib.request import urlopen
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+ model = timm.create_model("hf-hub:BVRA/inception_v4.in1k_ft_df20m_299", pretrained=True)
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  model = model.eval()
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+ train_transforms = T.Compose([T.Resize((299, 299)),
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  T.ToTensor(),
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  T.Normalize([0.5, 0.5, 0.5], [0.5, 0.5, 0.5])])
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  img = Image.open(PATH_TO_YOUR_IMAGE)
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  output = model(train_transforms(img).unsqueeze(0)) # output is (batch_size, num_features) shaped tensor
 
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  ```
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+ ## Citation
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+ ```bibtex
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+ @InProceedings{Picek_2022_WACV,
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+ author = {Picek, Luk'a {s} and {S}ulc, Milan and Matas, Ji {r}{'\i} and Jeppesen, Thomas S. and Heilmann-Clausen, Jacob and L{e}ss{\o}e, Thomas and Fr{\o}slev, Tobias},
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+ title = {Danish Fungi 2020 - Not Just Another Image Recognition Dataset},
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+ booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
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+ month = {January},
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+ year = {2022},
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+ pages = {1525-1535}
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+ }
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+ ```
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+ ```bibtex
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+ @article{picek2022automatic,
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+ title={Automatic Fungi Recognition: Deep Learning Meets Mycology},
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+ author={Picek, Luk{'a}{ {s}} and { {S}}ulc, Milan and Matas, Ji{ {r}}{'\i} and Heilmann-Clausen, Jacob and Jeppesen, Thomas S and Lind, Emil},
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+ journal={Sensors},
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+ volume={22},
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+ number={2},
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+ pages={633},
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+ year={2022},
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+ publisher={Multidisciplinary Digital Publishing Institute}
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+ }
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+ ```