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EZ-cDCGAN_with-Mnist

Train

run cdcgan.py then would output model generator.h5

evalua/test

  1. download generator.h5 has been trained by me or use your own trained model.
  2. run generator.py just change the array by 16 elements you like.
    ex: condition=[1,2,3,4,5,6,7,8,9,5,4,3,2,1,0,8]
    depend on condition,generator creat the output image.
    img