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inmaster/nima (press backspace or delete to remove)

Hi, After I train the model, how can i predict the a test img? Thanks.
  • juneleung
  • Opened 
    on Jan 5, 2021
  • #5

As far as I know in order to be able to use wasserstein distance in dual form, which saves us from infimum, the function should be liptschitz-K continuous, so that the gradients dont overshoot. Generally ...
  • EmreTaha
  • Opened 
    on Oct 16, 2018
  • #3

In function preprocess_image (nima.py) image = tf.subtract(image, 0.5) image = tf.multiply(image, 2.0) I m confused about the operations, could you give some explanation? Thanks
  • jl1914
  • 2
  • Opened 
    on Aug 6, 2018
  • #2

  • shangwenxiang
  • 1
  • Opened 
    on May 4, 2018
  • #1
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