Comments (4)
@dimakot55 please take a look
from adaptive-style-transfer.
Are you using some specific content dataset different to places dataset? Maybe try to specify single Cuda device. Sorry, right now I can't dig into your problem, will take me a few days to look at it. Have you tried to train it on Linux OS?
from adaptive-style-transfer.
yes, I used train2014.zip that I used to train for the fast style transfer.
I trained it only on windows 10.
do I need to download Places365-Standard high-res ? cause Its hard for me to download that large file size.
from adaptive-style-transfer.
Make sure you using tensorflow 1.2
from adaptive-style-transfer.
Related Issues (20)
- training problem:IndexError: Cannot choose from an empty sequence HOT 2
- taining problem
- Training isn't working as expected HOT 1
- Can encode and decode weights be saved separately for another style training? HOT 1
- Receiving blue-colored mess as result from example HOT 2
- colab ports: HOT 2
- python 3 version?
- About how to calculate deception score for our own model of our own style dataset
- About GPU memory leak
- Problem when inference with the model converted to pb HOT 2
- About the style image grouping. HOT 5
- multiple process aren't terminated
- could we apply style-transfer to image deformation?
- Thank you for the codes HOT 1
- Still runnable in Colab? HOT 1
- Links appear to be down HOT 2
- Tensorflow version upgrade HOT 2
- About the transformer block
- How to solve this problem on Tensorflow2.2?
- Colab 2023?
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from adaptive-style-transfer.