Comments (8)
How do I install without GPU?
Windows 10 x64
from style-transfer.
The main requirement for the code here is Caffe - if you can get the Windows version working, then this will work too.
from style-transfer.
it works on windows 8_64bit
from style-transfer.
Windows doesn't work with GPU at all?
from style-transfer.
caffe now can be compiled in windows with GPU.
from style-transfer.
I finally got it with python 2.7.13 on windows 10 64bit.
But it can work only with PNG files, and not with JPG, since Pillow, used by Caffe is not fully supported in windows.
- Remove all installed python related things.
- Install Miniconda for python 2.7 into C:\Miniconda-x64 . Does not work with 3.5.
- Install VS 2015 (in the installation select C++ tools). Does not work with Community, not sure why.
- Clone caffe, and checkout windows branch.
- Install CMake
- Install Ninja
- Install all packages in the caffe that are related to python, and run build_win.cmd
- clone style-transfer
- download the related models.
- Remove the stderr overrides to see if something goes wrong.
- Run "python style.py" with the required parameters. If some modules are missing, run conda install these packages. It will say they need to downgrade other related packages. Choose "yes" (After this step, the style will run correct, but you will not able to build the caffe again)
- Use PNG, since JPG will not work.
GPU does not work, so prepare for big waiting.
I will try to compile the whole pile of open-source package hell, and post it somewhere ready for simple windows click and run usage, some upcoming weekend.
from style-transfer.
@Xizario did you were able to compile it on windows? and make it work on GPU?
from style-transfer.
@irbian, I was not able to make the GPU running, so there was not point in creating a single package.
from style-transfer.
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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from style-transfer.