Skip to content
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

everyone,I want to know the test_result of yours #32

Open
lzzlxxlsz opened this issue Jun 2, 2019 · 1 comment
Open

everyone,I want to know the test_result of yours #32

lzzlxxlsz opened this issue Jun 2, 2019 · 1 comment

Comments

@lzzlxxlsz
Copy link

is well the test result of your own dataset ,and the generated picture is similar with the test picture?

@pradeepbhaskar
Copy link

Hi,

The generated and the test images are not same ( this was tested with test_epoch=100 so I got 3 generated images, first one at 0th epoch, 50th epoch and 99th epoch). Trying on grey scale image set but making the required changes to the code.

The score are as follows:
Epoch: [00], anomaly score: 50176.87890625, res loss: 48897.88281250
Epoch: [50], anomaly score: 38163.79296875, res loss: 35445.21093750
Epoch: [99], anomaly score: 27550.78906250, res loss: 23283.65039062

I am having trouble to know what these scores mean. Using these numbers how should I go about identifying if the test image as an anomaly or not ? What could be the good threshold value etc etc. Please assist.

For training I used about 1000 normal images with 1000 epochs.

thanks,
Pradeep

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants