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food-101

本代码是对food-101的训练与预测，使用的是ResNet50的迁移学习搭建模型。

环境：python3.6, tensorflow==1.8.0

  • [food-101]数据集下载网址在food-101/data_dir里
  • 下载下的food-101数据集先使用dataset_split.py将数据集分成train和test
  • train:python food101_ResNet50.py -m train; 训练好的模型保存在saved_models_food101文件夹下
  • test: python food101_ResNet50.py -m test -p loss最低的模型地址 -i 预测图片地址
  • [food101.ipynb]中我完善了整个项目过程，并进行了模型可视化。

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