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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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