I can't use my own training set, I prepared some 512*512 images for training, but my progress bar keeps staying at 0,
like this:
[**] create folder ../experiments/aotgan_places2_pconv512
UserWarning: The parameter 'pretrained' is deprecated since 0.13 and will be removed in 0.15, please use 'weights' instead.
warnings.warn(
UserWarning: Arguments other than a weight enum or None for 'weights' are deprecated since 0.13 and will be removed in 0.15. The current behavior is equivalent to passing weights=VGG19_Weights.IMAGENET1K_V1. You can also use weights=VGG19_Weights.DEFAULT to get the most up-to-date weights.
warnings.warn(msg)
0%| | 0/1000000 [00:00<?, ?it/s]
I can't use my own training set, I prepared some 512*512 images for training, but my progress bar keeps staying at 0, like this:
[**] create folder ../experiments/aotgan_places2_pconv512 UserWarning: The parameter 'pretrained' is deprecated since 0.13 and will be removed in 0.15, please use 'weights' instead. warnings.warn( UserWarning: Arguments other than a weight enum or
None
for 'weights' are deprecated since 0.13 and will be removed in 0.15. The current behavior is equivalent to passingweights=VGG19_Weights.IMAGENET1K_V1
. You can also useweights=VGG19_Weights.DEFAULT
to get the most up-to-date weights. warnings.warn(msg) 0%| | 0/1000000 [00:00<?, ?it/s]