-
Notifications
You must be signed in to change notification settings - Fork 9
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
index 50 is out of bounds for axis 0 with size 50 #16
Comments
Hi @tracob-github, AE-Net runs with 64x64 segmentations. What size of segmentations are you using? |
Thank you!I know where the problem is. I try to reproduce your work, and the accuracy of test_aenet is about 0.97. Is it correct? |
Hello, your code is written very well, but because there is no pre-training model of the autoencoder, when I was training the model, the loss remained at around 0.49 in the end. Is it because of the pre-training model? |
Thanks for sharing this excellent code.
When I run test_aenet.py, an error occurred.
![image](https://user-images.githubusercontent.com/59277274/134470686-f7f74c26-3a94-4161-ac55-8738122c6d51.png)
![1632383057](https://user-images.githubusercontent.com/59277274/134471158-151ae87b-04f8-4e67-b8f4-372de45d1313.png)
![1632383057(1)](https://user-images.githubusercontent.com/59277274/134471180-c19f632a-9643-4d92-8134-348bd366ce7c.png)
After debugging, I found that the size of test_lbs and z in models.py are inconsistent. The size of test_lbs is (50, 256, 256, 1), but the size of z is (800, 64, 64, 1). As show in two pictures.
I would like to ask how to sovle it.
The text was updated successfully, but these errors were encountered: