You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
First, thank you for your hard work and for making this project available. I greatly appreciate your contributions.
I am currently working with your CcGAN implementation for a custom dataset . While the example provided works smoothly, I encountered an issue when applying my dataset. Specifically, I am facing an AssertionError during the label generation process (run_gene.sh). Here is a brief overview of the situation:
Problem Description:
The error occurs in the label generation part, where the following assertion fails:
Traceback (most recent call last):
File "/path/to/main.py", line 780, in <module>
assert fake_labels.max()>1
AssertionError
I reviewed the some functions to ensure the labels are generated correctly, but I haven't found any clear reason why the labels are failing the condition.
Dataset and Label Information:
The labels range from:
1963 images left and there are 80 unique labels
Range of unnormalized labels: (0.009999999776482582,0.8100000023841858)
Range of normalized labels: (0.02439024329300724,1.0)
There are 80 unique labels.
The label generation logic seems to apply correctly based on the raw dataset, but the normalized or generated fake_labels do not meet the condition.
Would you be able to provide some guidance on why the fake_labels might not be reaching the expected range, and how I can resolve this AssertionError?
Thank you for your time and help!
The text was updated successfully, but these errors were encountered:
Dear developers,
First, thank you for your hard work and for making this project available. I greatly appreciate your contributions.
I am currently working with your CcGAN implementation for a custom dataset . While the example provided works smoothly, I encountered an issue when applying my dataset. Specifically, I am facing an AssertionError during the label generation process (run_gene.sh). Here is a brief overview of the situation:
The error occurs in the label generation part, where the following assertion fails:
I reviewed the some functions to ensure the labels are generated correctly, but I haven't found any clear reason why the labels are failing the condition.
The labels range from:
The label generation logic seems to apply correctly based on the raw dataset, but the normalized or generated fake_labels do not meet the condition.
Would you be able to provide some guidance on why the fake_labels might not be reaching the expected range, and how I can resolve this AssertionError?
Thank you for your time and help!
The text was updated successfully, but these errors were encountered: