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context-encoder's Introduction

  • 👋 Hi, I’m Charon.
  • 👀 I’m interested in machine learning and computer vision.
  • 🌱 I’m currently computer vision(CV) and multi-modal learning!
  • 💞️ I've got B.E degree at Huazhong University of Science and Technology and I'm a Mphil candidate of Peking University.
  • 📫 How to reach me(My email address) :[email protected].

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context-encoder's Issues

How to distinguish local discriminator and global discriminator

The question is shown as the title. It's hard to distinguish the local discriminator and global discriminator when reading the source code of new_train.py. Could you please share some explanation?
Besides, I'm still not sure about the train_label and train. Should they be the original images or masked/corrupted images? And I realised that the output of predict.py will be a single image, and so will the input. Could it be a directory with images?
And could you please share some instructions on using some functions? (e.g. new_train.py, I think I should run the whole code?)

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