Update README.md

README.md

@@ -28,13 +28,33 @@ from PIL import Image
 from urllib.request import urlopen
 model = timm.create_model("hf-hub:BVRA/tf_efficientnet_b3.in1k_ft_df20m_384", pretrained=True)
 model = model.eval()
-train_transforms = T.Compose([T.Resize(384), 
+train_transforms = T.Compose([T.Resize((384, 384)), 
                               T.ToTensor(), 
                               T.Normalize([0.5, 0.5, 0.5], [0.5, 0.5, 0.5])]) 
 img = Image.open(PATH_TO_YOUR_IMAGE)
 output = model(train_transforms(img).unsqueeze(0))  # output is (batch_size, num_features) shaped tensor
-# output is a (1, num_features) shaped tensor
 ```
 
-## Citation
-https://openaccess.thecvf.com/content/WACV2022/papers/Picek_Danish_Fungi_2020_-_Not_Just_Another_Image_Recognition_Dataset_WACV_2022_paper.pdf
+## Citation 
+```bibtex
+@InProceedings{Picek_2022_WACV,
+    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},
+    title     = {Danish Fungi 2020 - Not Just Another Image Recognition Dataset},
+    booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
+    month     = {January},
+    year      = {2022},
+    pages     = {1525-1535}
+}
+```
+```bibtex
+@article{picek2022automatic,
+  title={Automatic Fungi Recognition: Deep Learning Meets Mycology},
+  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},
+  journal={Sensors},
+  volume={22},
+  number={2},
+  pages={633},
+  year={2022},
+  publisher={Multidisciplinary Digital Publishing Institute}
+}
+```