First model version

README.md

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+---
+tags:
+- image-classification
+library_name: wildlife-datasets
+license: cc-by-nc-4.0
+---
+# Model card
+
+A CLIP based image feature model. Supervisely pre-trained on animal re-identification datasets.
+Original model: timm/vit_large_patch14_clip_336.openai_ft_in12k_in1k
+
+## Model Details
+- **Model Type:** Animal re-identification / feature backbone
+- **Model Stats:**
+ - Params (M): 304.5
+ - GMACs: 174.7
+ - Activations (M): 128.2
+ - Image size: 336 x 336
+
+## Model Usage
+### Image Embeddings
+```python
+
+import timm
+import torch
+import torchvision.transforms as T
+
+from PIL import Image
+from urllib.request import urlopen
+
+model = timm.create_model("hf-hub:BVRA/MegaDescriptor-CLIP-336", pretrained=True)
+model = model.eval()
+
+transforms = T.Compose([T.Resize(336), 
+                              T.ToTensor(), 
+                              T.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])]) 
+
+img = Image.open(urlopen(
+    'https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/beignets-task-guide.png'
+))
+
+output = model(transforms(img).unsqueeze(0))  # output is (batch_size, num_features) shaped tensor
+# output is a (1, num_features) shaped tensor
+```
+
+## Citation
+
+```bibtex
+@inproceedings{vcermak2024wildlifedatasets,
+  title={WildlifeDatasets: An open-source toolkit for animal re-identification},
+  author={{\v{C}}erm{\'a}k, Vojt{\v{e}}ch and Picek, Lukas and Adam, Luk{\'a}{\v{s}} and Papafitsoros, Kostas},
+  booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision},
+  pages={5953--5963},
+  year={2024}
+}
+```

config.json

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+{
+  "architecture": "vit_large_patch14_clip_336",
+  "num_classes": 0,
+  "num_features": 1024,
+  "global_pool": "token",
+  "pretrained_cfg": {
+    "custom_load": false,
+    "input_size": [
+      3,
+      336,
+      336
+    ],
+    "fixed_input_size": true,
+    "interpolation": "bicubic",
+    "crop_pct": 1.0,
+    "crop_mode": "squash",
+    "mean": [
+      0.485,
+      0.456,
+      0.406
+    ],
+    "std": [
+      0.229,
+      0.224,
+      0.225
+    ],
+    "num_classes": 0,
+    "pool_size": null,
+    "first_conv": "patch_embed.proj",
+    "classifier": "head"
+  }
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7fb1ee3bb1814fbd271786e9a13920fa657eda05478bb0356623bb4da0c75278
+size 2668099674