Comments (4)
What it means?
from anogan-tf.
sorry,I would like to ask you if your generated images are similar to the test images using the celebA dataset.I find that my result is a big difference between the test image and generated image.And when I use the MNIST dataset ,the result is all "0" images,but it is not similar with the test result.Thanks for reply !
from anogan-tf.
If you use MNIST, concatenating the label into input (conditional GAN) can be a solution.
I checked that the final image of celebA is fine.
from anogan-tf.
Would you mind share your test picture and the final generated picture?What's more,I would appreciate it if you share your checkpoint file. I run your program code and find that the difference between the test picture and the final generated picture is very big, so the final reconstruction image is not good.
from anogan-tf.
Related Issues (20)
- Anomaly detection slowing down HOT 2
- questions about the input_height and input_width HOT 3
- the difference between test image and generated image
- License HOT 3
- about the gray dataset
- attributeError: 'DCGAN' object has no attribute 'test_data_names' HOT 7
- everyone,I want to know the test_result of yours HOT 1
- Thank you for your AnoGAN............ HOT 3
- About t-SNE embedding HOT 1
- This is amazing! Thank you! HOT 1
- additional training .. HOT 1
- Query regarding loading weight file during testing HOT 2
- Testing trained anomaly detector: Error: None values not supported HOT 3
- Interpreting the results
- About testing slowing down!!
- download celebA error
- AssertionError HOT 1
- 请问数据集的图片大小是可以自己调节的吗?
- errors in the code
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from anogan-tf.