Megadescriptor L 384

🚀 MegaDescriptor-L-384模型卡片

MegaDescriptor-L-384是一個基於Swin-L架構的圖像特徵模型，它在動物重識別數據集上進行了超智能的預訓練，能夠為動物圖像的特徵提取和重識別任務提供強大支持。

🚀 快速開始

MegaDescriptor-L-384是一個Swin-L圖像特徵模型，在動物重識別數據集上進行了預訓練。下面是使用該模型生成圖像嵌入的示例代碼：

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-L-384", pretrained=True)
model = model.eval()

train_transforms = T.Compose([T.Resize(size=(384, 384)),
                              T.ToTensor(), 
                              T.Normalize([0.5, 0.5, 0.5], [0.5, 0.5, 0.5])]) 

img = Image.open(urlopen(
    'https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/beignets-task-guide.png'
))

output = model(train_transforms(img).unsqueeze(0))  # output is (batch_size, num_features) shaped tensor
# output is a (1, num_features) shaped tensor

✨ 主要特性

• 適用領域廣泛：適用於圖像分類、生態學、動物識別和重識別等多個領域。
• 預訓練優勢：在動物重識別數據集上進行預訓練，能更好地處理動物相關圖像。

📚 詳細文檔

模型詳情

模型使用

圖像嵌入

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-L-384", pretrained=True)
model = model.eval()

train_transforms = T.Compose([T.Resize(size=(384, 384)),
                              T.ToTensor(), 
                              T.Normalize([0.5, 0.5, 0.5], [0.5, 0.5, 0.5])]) 

img = Image.open(urlopen(
    'https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/beignets-task-guide.png'
))

output = model(train_transforms(img).unsqueeze(0))  # output is (batch_size, num_features) shaped tensor
# output is a (1, num_features) shaped tensor

引用信息

@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}
}

📄 許可證

本項目採用CC BY-NC 4.0許可證。