Open savaandreioct opened 4 years ago
1 & 2. You can change num_downs
. No need to change ndf
and ngf
.
Hello @junyanz,
Thanks for your prompt answer. Another question that I missed:
What type of discriminator should I use giving that as input I have a 32x32 img?
You can still use --netD n_layers
and use fewer layers by specifying --n_layers_D
.
Hi there, I am a beginner and try to build up a model with 48*48 input but meet some problems. Could you please send me the all parameters you use for running train.py?
Hi @Shawye all the default parameters can be find inside base_options.py and train_options.py itself
I am trying to create a model with pix2pix architecture (photo to label) that will take as input a 32x32 picture. I added in define_G: elif netG == 'unet_32': net = UnetGenerator (input_nc, output_nc, 5, ngf, norm_layer = norm_layer, use_dropout = use_dropout) I changed nfg and nfd to 4.
I have some doubts:
Thank you very much