Comments (2)
Please specify the path to the checkpoint like python evaler.py --checkpoint /path/to/ckpt/model-1
.
from ssgan-tensorflow.
And please make sure your model save the checkpoints frequently enough so that when you want to test the model, there are stored checkpoints instead of just the first checkpoint model-1
.
from ssgan-tensorflow.
Related Issues (20)
- About Generator loss HOT 1
- Batch normalization should behave differently in training and testing phase. HOT 2
- Are unlabeled images used in SSGAN? HOT 4
- ValueError: num_outputs should be int or long, got 11. HOT 4
- Number of labelled samples per class HOT 2
- label of generative samples HOT 1
- why the _groundtruths in the evaler.py is different from the original test label? HOT 1
- predicted probabilities not summed to 1 HOT 2
- visualize_training.py is not working HOT 1
- Why the g_loss becomes negative? HOT 6
- Have you use unlabeled data๏ผ
- Adding a requirements.txt file
- Could you give an example for building and training own datasets?
- TypeError: argument of type 'NoneType' is not iterable
- ValueError: num_outputs should be int or long, got 400.
- How to generate samples? HOT 4
- Where is the generated image stored? HOT 6
- can't create generator HOT 9
- errors when I try two separate data.hy files HOT 1
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