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ImageNet100

2020-2st 전자공학종합설계 Project

1. Contributor

  • 양재원

2. Version

  • python3.7
  • torch1.7 and torchvision 0.6
  • Cuda >=10.2
  • Ubuntu 18.04
  • Multiple GPU: Nvidia Titan X

3. Train

  • Must to do: You need to unzip the ImageNet100.zip into the project imageNet-100 dir. Train and test should be unziped.
  • command: python train.py (Check config.py for datapath and hyper-parameter settings)

4. Test

  • Command: python test.py (Check config.py for datapath and hyper-parameter settings)
  • output: model accuracy

5. Best Model Test

  • Unzip the Best_model.zip and move the models to the output/result dir
  • Check config.py
  • Run python test.py

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