affinelayer / pix2pix-tensorflow

Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/

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Same image - Different output

groot-1313 opened this issue · comments

After training the model, I tested it from the latest checkpoint.
The model predicts different outputs for the same input image!!!

I switched off the dropout to avoid it.

dropout garanties non specialization of each neuron in a NxN matrix (you do not need to apply it on convolutional networks). That mean your network would be more flexible to change.

I do not know your usecase exactly, but you should keep it while learning.
Eventhough, may be it is possible to keep it for the test.

@groot-1313 How exactly did you switch off dropout?