pytorch-CycleGAN-and-pix2pix
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About 1D input and output
Hello, let me ask, how to change the input to one-dimensional data, and then the output is also one-dimensional data? Is this feasible? I am a novice.Help me , please.
If your data is already grayscale. Just add following parameters when you run train.py
.
--input_nc 1 --output_nc 1
If you set --input_nc 1 --output_nc 1
, it will require a single-channel image as input. For 1D data, you probably need to implement your own data loader, generator, and discriminator.
Hello, have you realized 1d cyclegan?