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Hello, I try to find the method of transforming a discrete image to a continuous image.
So, I want to know how to implement like the preprocess method such as
Hi, the easy way is to just copy the first function that you linked, and apply it to the input before you give it to the INN.
(And when sampling, apply the inverse).
Otherwise, if you want to have this in FrEIA.modules, either you can do it yourself, and we would be thrilled to receive a pull-request. Or you can raise it as a feature-request issue in https://github.com/VLL-HD/FrEIA-community , then we will try to assign some one to implement it.
Hello, I try to find the method of transforming a discrete image to a continuous image.
So, I want to know how to implement like the preprocess method such as
https://github.com/fmu2/realNVP/blob/8d36691df215af3678440ccb7c01a13d2b441a4a/data_utils.py#L76-L121
https://github.com/tensorflow/models/blob/master/research/real_nvp/real_nvp_multiscale_dataset.py#L1072-L1077
Thanks!
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