LeeDoYup / AnoGAN-tf

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)
MIT License
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Interpreting the results #39

Open pradeepbhaskar opened 4 years ago

pradeepbhaskar commented 4 years ago

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