Higher Resolution Images about anogan-tf

[LeeDoYup]

Sorry for late reply.
How did you try to resize the 800 x 800 images into 256 x 256?
If you share the way you try, i can help you more.

[LeeDoYup]

First of all, original model transform the 256 x 256 images into 64 x 64.

[adimukewar]

I tried resizing the images directly by bilinear interpolation.
I guess GAN's are not designed for working with the images of higher resolution.
It worked fine with 128x128 resolution images but reducing the image to that size kills most of the key details in an image along with the anomalies.
Can you suggest something that can be used to make GAN work with higher resolution images?

[LeeDoYup]

https://github.com/LeeDoYup/AnoGAN/blob/5900e3735b6ea8289bd348eea8a37ed07779388e/model.py#L334-L362

When you see the code, the number of parameters is decided by the size of input image.
You can decrease the number of parameters (for example the number of output channel of each convolutional layer), according to your memory resources.

If there is any bug in the codes, please tell and share freely.

[lzzlxxlsz]

Hello,do you mean that your dataset size is 800800,and you resize it with 256256?dose the result fine?As you claimed that when the picture resize smaller,it has lost more details,and have you solved it?