方法 1：直接运行脚本

# 克隆仓库
git clone https://github.com/wyg5208/nct.git
cd nct

# 安装依赖（需要额外包）
pip install torch torchvision Pillow requests

# 运行猫识别实验
python experiments/run_cat_recognition.py

方法 2：完整 API 示例

from nct_modules import NCTManager, NCTConfig
from nct_cross_modal import CrossModalFusion
from PIL import Image
import requests

# 下载示例图片
url = "https://example.com/cat.jpg"
response = requests.get(url)
with open('cat.jpg', 'wb') as f:
    f.write(response.content)

# 加载图片
image = Image.open('cat.jpg')

# 创建多模态融合模型
fusion_config = NCTConfig(
    n_heads=8,
    d_model=768,
    use_cross_modal=True
)

# 初始化
manager = NCTManager(fusion_config)
model = CrossModalFusion(manager)

# 预测
result = model.predict(image)
print(f"识别结果：{result['label']}")
print(f"置信度：{result['confidence']:.2%}")