Comments (3)
fzliu
commented on July 21, 2024
If memory is becoming a limitation for you, try reducing the image size (a smaller model like GoogleNet would also work).
With that being said, I'm surprised that 4GB wasn't enough for VGG16. What options are you using to generate the final image?
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pp072
commented on July 21, 2024
Now I use resolution 512 and 1024 interations and it's work. But I want to use resolution 1024X1024. (style.py -s s7.jpg -c 3.jpg - m vgg16 -g 0 -l 512)
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fzliu
commented on July 21, 2024
If you want a higher-res image, try using a smaller model, or run it on the CPU.
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Related Issues (20)
- GPU Load 5% avg HOT 3
- Some about implementation HOT 2
- Issue about Loss function HOT 1
- Why do backpropagation for original VGG net? HOT 1
- i try to use it, but not working
- The program stops at "successfully loaded images" HOT 7
- training script
- where the parameter ‘n_iter’ affects in the minimize() function
- style doesn't tranformed successfully but only content HOT 1
- Add description for OpenCL, works well as replacement for CUDA HOT 2
- Check failed ! HOT 1
- why net to flatten img0? HOT 1
- CPU only？ HOT 4
- Support for multiple style images HOT 1
- Model.ckpt
- On Windows, minimisation fails
- style.py: AttributeError: 'module' object has no attribute 'set_device' HOT 3
- Some way to set the standard output to lossless .png? HOT 1
- No module named 'caffe' HOT 2
- Segmentation fault
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