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stlproject_dagan_pytorch's Introduction

Code for STL project

Created by Shuai Luo, Cheng Fei, Fan Zhang.

The framework of our initially proposed network.

Getting Started

1. Data Preparation

  • Omniglot

    Categories/Samples: 1412/ 32460

    Split: 1200 seen classes, 212 unseen classes

  • VGGFace

    Categories/Samples: 2299/ 229900

    Split: 1802 seen classes, 497 unseen classes

Generate npy files for each dataset.

python data_preparation.py --data_set --store_path --image_width

2. Train dagan

python train_dagan.py --dataset_path [your path] --final_model_path [your path]

3. Train dagan with classifier

python train_omniglot_classifier.py --dataset_path [your path]

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