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GAN implementations
Can you show how to produced the anomaly detection for abnormal data like is shown in overview page? I am unsure how to obtain the generated_img for the anomalies?
Thank you!
Hi, @AndersonJo
I met this error when run anoGAN:
in load_image_data(dir_path)
4 def load_image_data(dir_path):
5 if not os.path.exists(dir_path):
----> 6 raise Exception('The anomalous data does not exists.'
7 'The data is owned by EXEM company.')
8
How can I get those data?
Thanks in advance.
from @bemoregt.
Hi, @AndersonJo.
In the case of Anomaly Gan, I knew that it trained with only normal datasets.
At train AnoGAN with MNIST data, Does the train set and test set all contain only normal data?
Or are both normal + abnormal divided into folders?
I wonder.
form @bemoregt.
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