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:
- 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!
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!