Jay Urbain
Fixing tf.concat does not fix this problem.
What size image or patch (volume) are you using? What is your batch size? Based on your volume size and batch size, you probably do not have enough GPU memory.
doc78 > This model requires huge GPU power. The author used a V100 equipped with 32 GBytes of Graphic Memory and used a crop size of 160x192x128. In my training...
doc78, thanks for your feedback. I do not understand the logic for seeing "nan" values. That usually happens when your feeding bad values into something like an activation function. I...
Just to follow up. My problem was due to the way I was using the sk-image resize function. Essentially the masks became floating points and the values rounded to zero.
I would appreciate some feedback on my training curves. Looks like over-fitting which I thought the VAE would address. L2 and KL are set to 0.1 for the VAE in...
Will do. Thanks, Jay On Tue, May 19, 2020 at 5:41 AM Suyog Jadhav wrote: > Can you try removing the minus sign from this line and see if it...
Yes. The second figure are the generated VAE images. I should have labeled these. I have another question. Using SimpleITK, your notebook example reads the images in as C, D,...
I'll move the axis and give it a try. Thanks, Jay On Tue, May 19, 2020 at 7:03 AM Suyog Jadhav wrote: > That might be a problem, I created...
I have additionally tried each of the following: 1) Modified the loss to: return - K.mean(2 * intersection / dn, axis=[0,1]) 2) Modified the loss to: return 1 - K.mean(2...