Comments (1)
fabiooshiro
commented on July 21, 2024
A noob question: what is a good/bad result range?
my output
G: 2.32 | D: 0.04 | GP: 0.09 | SS: 0.00
G: 1.93 | D: 0.10 | GP: 0.03 | SS: 0.00
G: 2.52 | D: 0.14 | GP: 0.06 | SS: 0.00
G: 2.45 | D: 0.09 | GP: 0.13 | SS: 0.00
G: 1.32 | D: 0.09 | GP: 0.31 | SS: 0.00
G: 1.95 | D: 0.35 | GP: 0.15 | SS: 0.01
G: 2.10 | D: 0.10 | GP: 0.03 | SS: 0.00
G: 2.60 | D: 0.12 | GP: 0.08 | SS: 0.00
G: 1.99 | D: 0.87 | GP: 0.09 | SS: 0.00
G: 1.86 | D: 0.72 | GP: 0.10 | SS: 0.00
from lightweight-gan.
Related Issues (20)
- question about generated images HOT 35
- Error(s) in loading state_dict for LightweightGAN HOT 2
- Batchnorm layer missing in the discriminator?
- showing results while training ? HOT 2
- G is showing up a negative number. What does that mean?
- Multi GPU utilization problem.
- TypeError: __init__() got an unexpected keyword argument 'hparams' HOT 1
- unable to load save model. please try downgrading the package to the version specified by the saved model HOT 7
- --load_strict=False failing to load model HOT 1
- Can't find "__main__" module (sorry if noob question) HOT 4
- loss implementation differs from paper HOT 1
- Doesn't detect CUDA from Nvidia GPU HOT 1
- Torchvision Assertion error while importing custom data
- Aim installation error HOT 4
- Discriminator Loss converges to 0 while Generator loss pretty high HOT 3
- Dont detects cuda HOT 1
- Using Lightweight GAN as a library
- Projecting generated Images to Latent Space HOT 1
- Executing with a trailing \ in the arguments sets the variable new to the truthy value '\\' and deletes all progress
- CUDA out of memory error while generating interpolations
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