anishathalye
commented
8 years ago The amount of RAM is related to the size of the images you want to process and render. Also, I recommend a GPU instance, and it'll make everything a whole lot faster.
I'm running stuff on a computer with 32GB RAM and a Titan X (with 12GB of GDDR5), and I can process megapixel-size image on there.
On my laptop with 12GB of RAM, using the CPU only, I can still process megapixel-size images, but it's pretty darn slow unless the output image size is small.
szad670401
i apply the one year free amazon ec2 service .(1G RAM 2.5G CPU 10GB ROM) after I run the neural_style.py about 30s It appear a error.
Is that i don't have enough memory?
I tensorflow/core/common_runtime/local_device.cc:25] Local device intra op parallelism threads: 1 I tensorflow/core/common_runtime/local_session.cc:45] Local session inter op parallelism threads: 1 Traceback (most recent call last): File "neural_style.py", line 122, in
main()
File "neural_style.py", line 108, in main
checkpoint_iterations=options.checkpoint_iterations)
File "/home/ubuntu/neural-styletf/neural-style/stylize.py", line 51, in stylize
net, = vgg.net(network, image)
File "/home/ubuntu/neural-style_tf/neural-style/vgg.py", line 22, in net
data = scipy.io.loadmat(data_path)
File "/usr/lib/python2.7/dist-packages/scipy/io/matlab/mio.py", line 126, in loadmat
matfile_dict = MR.get_variables(variable_names)
File "/usr/lib/python2.7/dist-packages/scipy/io/matlab/mio5.py", line 288, in get_variables
res = self.read_var_array(hdr, process)
File "/usr/lib/python2.7/dist-packages/scipy/io/matlab/mio5.py", line 248, in read_var_array
return self._matrix_reader.array_from_header(header, process)
File "mio5_utils.pyx", line 616, in scipy.io.matlab.mio5_utils.VarReader5.array_from_header (scipy/io/matlab/mio5_utils.c:6021)
File "mio5_utils.pyx", line 661, in scipy.io.matlab.mio5_utils.VarReader5.array_from_header (scipy/io/matlab/mio5_utils.c:5642)
File "mio5_utils.pyx", line 829, in scipy.io.matlab.mio5_utils.VarReader5.read_cells (scipy/io/matlab/mio5_utils.c:7689)
File "mio5_utils.pyx", line 614, in scipy.io.matlab.mio5_utils.VarReader5.read_mi_matrix (scipy/io/matlab/mio5_utils.c:5252)
File "mio5_utils.pyx", line 663, in scipy.io.matlab.mio5_utils.VarReader5.array_from_header (scipy/io/matlab/mio5_utils.c:5664)
File "mio5_utils.pyx", line 907, in scipy.io.matlab.mio5_utils.VarReader5.read_struct (scipy/io/matlab/mio5_utils.c:8581)
File "mio5_utils.pyx", line 614, in scipy.io.matlab.mio5_utils.VarReader5.read_mi_matrix (scipy/io/matlab/mio5_utils.c:5252)
File "mio5_utils.pyx", line 661, in scipy.io.matlab.mio5_utils.VarReader5.array_from_header (scipy/io/matlab/mio5_utils.c:5642)
File "mio5_utils.pyx", line 829, in scipy.io.matlab.mio5_utils.VarReader5.read_cells (scipy/io/matlab/mio5_utils.c:7689)
File "mio5_utils.pyx", line 614, in scipy.io.matlab.mio5_utils.VarReader5.read_mi_matrix (scipy/io/matlab/mio5_utils.c:5252)
File "mio5_utils.pyx", line 645, in scipy.io.matlab.mio5_utils.VarReader5.array_from_header (scipy/io/matlab/mio5_utils.c:5448)
File "mio5_utils.pyx", line 713, in scipy.io.matlab.mio5_utils.VarReader5.read_real_complex (scipy/io/matlab/mio5_utils.c:6445)
File "mio5_utils.pyx", line 417, in scipy.io.matlab.mio5_utils.VarReader5.read_numeric (scipy/io/matlab/mio5_utils.c:3949)
File "mio5_utils.pyx", line 353, in scipy.io.matlab.mio5_utils.VarReader5.read_element (scipy/io/matlab/mio5_utils.c:3657)
File "streams.pyx", line 321, in scipy.io.matlab.streams.FileStream.read_string (scipy/io/matlab/streams.c:4418)
File "pyalloc.pxd", line 9, in scipy.io.matlab.pyalloc.pyalloc_v (scipy/io/matlab/streams.c:5083)
MemoryError