I have downloaded the model and installed CUDA, but the demo still does not run. In another issue, it was mentioned that this project doesn't need cuDNN, but I have it extracted anyway.

>C:\Deep-Image-Analogy\windows\deep_image_analogy\exe>deep_image_analogy.exe ../models/ ../demo/content.png ../demo/style.png ../demo/output/ 0 0.5 2 0

[libprotobuf WARNING ..\src\google\protobuf\io\coded_stream.cc:537] Reading dangerously large protocol message.  If the message turns out to be larger than 2147483647 bytes, parsing will be halted for security reasons.  To increase the limit (or to disable these warnings), see CodedInputStream::SetTotalBytesLimit() in google/protobuf/io/coded_stream.h.
[libprotobuf WARNING ..\src\google\protobuf\io\coded_stream.cc:78] The total number of bytes read was 574671192
[libprotobuf WARNING ..\src\google\protobuf\io\coded_stream.cc:537] Reading dangerously large protocol message.  If the message turns out to be larger than 2147483647 bytes, parsing will be halted for security reasons.  To increase the limit (or to disable these warnings), see CodedInputStream::SetTotalBytesLimit() in google/protobuf/io/coded_stream.h.
[libprotobuf WARNING ..\src\google\protobuf\io\coded_stream.cc:78] The total number of bytes read was 574671192
Finding nearest neighbor field using PatchMatch Algorithm at layer:conv5_1.
Finding nearest neighbor field using PatchMatch Algorithm at layer:conv4_1.
Finding nearest neighbor field using PatchMatch Algorithm at layer:conv3_1.
Finding nearest neighbor field using PatchMatch Algorithm at layer:conv2_1.
F0705 13:44:12.492667 10008 cudnn_conv_layer.cu:28] Check failed: status == CUDNN_STATUS_SUCCESS (8 vs. 0)  CUDNN_STATUS_EXECUTION_FAILED

deep_image_analogy.exe ../models/ ../demo/content.png ../demo/style.png ../demo/output/ 0 0.5 2 0 [libprotobuf WARNING ..\src\google\protobuf\io\coded_stream.cc:537] Reading dangerously large protocol message. If the message turns out to be larger than 2147483647 bytes, parsing will be halted for security reasons. To increase the limit (or to disable these warnings), see CodedInputStream::SetTotalBytesLimit() in google/protobuf/io/coded_stream.h. [libprotobuf WARNING ..\src\google\protobuf\io\coded_stream.cc:78] The total number of bytes read was 574671192 [libprotobuf WARNING ..\src\google\protobuf\io\coded_stream.cc:537] Reading dangerously large protocol message. If the message turns out to be larger than 2147483647 bytes, parsing will be halted for security reasons. To increase the limit (or to disable these warnings), see CodedInputStream::SetTotalBytesLimit() in google/protobuf/io/coded_stream.h. [libprotobuf WARNING ..\src\google\protobuf\io\coded_stream.cc:78] The total number of bytes read was 574671192 Finding nearest neighbor field using PatchMatch Algorithm at layer:conv5_1. Finding nearest neighbor field using PatchMatch Algorithm at layer:conv4_1. Finding nearest neighbor field using PatchMatch Algorithm at layer:conv3_1. Finding nearest neighbor field using PatchMatch Algorithm at layer:conv2_1. F1024 12:10:34.443341 32020 cudnn_conv_layer.cu:28] Check failed: status == CUDNN_STATUS_SUCCESS (8 vs. 0) CUDNN_STATUS_EXECUTION_FAILED *** Check failure stack trace: ***

I cannot find executable file "demo" in folder. (UBUNTU 16.04) I have installed all dependencies, with cuda and cudnn. Now I want to execute demo file to get test result by using command ./demo deep_image_analogy/models/ deep_image_analogy/demo/content.png deep_image_analogy/demo/style.png deep_image_analogy/demo/output/ 0 0.5 2 0 as you mentioned ... but I cannot find executable file "demo" in folder... Can u help me to find its location... Or How can i build it... Thanks and regards

Hi,

I've successfully built and now rebuilt Caffe with the following parameters:

        <CpuOnlyBuild>false</CpuOnlyBuild>
        <UseCuDNN>true</UseCuDNN>
        <CudaVersion>7.5</CudaVersion>
        <!-- NOTE: If Python support is enabled, PythonDir (below) needs to be
         set to the root of your Python installation. If your Python installation
         does not contain debug libraries, debug build will not work. -->
        <PythonSupport>true</PythonSupport>
        <!-- NOTE: If Matlab support is enabled, MatlabDir (below) needs to be
         set to the root of your Matlab installation. -->
        <MatlabSupport>true</MatlabSupport>
        <CudaDependencies></CudaDependencies>

        <!-- Set CUDA architecture suitable for your GPU.
         Setting proper architecture is important to mimize your run and compile time. -->
        <CudaArchitecture>compute_30,sm_30;compute_35,sm_35;compute_50,sm_50</CudaArchitecture>

        <!-- CuDNN 4 and 5 are supported -->
        <CuDnnPath></CuDnnPath>

I left empty but I unpacked the CuDNNv4 downloaded zip to the %CUDA_PATH% location (in my case C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v7.5).

I have not done any of the deep_image_analogy build steps:

• Edit deep_image_analogy.vcxproj under windows/deep_image_analogy to make the CUDA version in it match yours .
• Open solution Caffe and add deep_image_analogy project.
• Build project deep_image_analogy.

When executing the provided pre-built executable file:

deep_image_analogy.exe ../models/ ../demo/content.png ../demo/style.png ../demo/output/ 0 0.5 2 0

It results in the following error:

[libprotobuf WARNING ..\src\google\protobuf\io\coded_stream.cc:537] Reading dangerously large protocol message. If the message turns out to be larger than 2147483647 bytes, parsing will be halted for security reasons. To increase the limit (or to disable these warnings), see CodedInputStream::SetTotalBytesLimit() in google/protobuf/io/coded_stream.h. [libprotobuf WARNING ..\src\google\protobuf\io\coded_stream.cc:78] The total number of bytes read was 574671192 [libprotobuf WARNING ..\src\google\protobuf\io\coded_stream.cc:537] Reading dangerously large protocol message. If the message turns out to be larger than 2147483647 bytes, parsing will be halted for security reasons. To increase the limit (or to disable these warnings), see CodedInputStream::SetTotalBytesLimit() in google/protobuf/io/coded_stream.h. [libprotobuf WARNING ..\src\google\protobuf\io\coded_stream.cc:78] The total number of bytes read was 574671192 F1005 13:11:47.450531 6872 pooling_layer.cu:212] Check failed: error == cudaSuccess (8 vs. 0) invalid device function *** Check failure stack trace: ***

I'm running CUDA 7.5, cuDNN 4, Visual Studio 2013, MATLAB R2014b and Windows 10 with GeForce GTX 770 GPU.

From what I've read invalid device function indicates a CUDA / GPU incompatibility.

The GeForce GTX 770 GPU has compute capability 3.0 https://developer.nvidia.com/cuda-gpus, so when building Caffe, setting <CudaArchitecture>compute_30,sm_30;compute_35,sm_35;compute_52,sm_52</CudaArchitecture> should be correct, no?

Any info or assistance resolving this would be greatly appreciated.

First off, thanks to the whole team for sharing the project!

Unfortunately (only concerning this particular project) i have a desktop machine with macOS and couldn't find a way to open/convert the .vcxproj files. I've tried MS Visual Studio and Visual Studio Code for Mac, but it didn't let me compile the project. These Apps are only shrinked down versions of the original Visual Studio .

Then i tried some tricks and tools to convert the .vcxproj content to regular make or cmake instruction files:

• vcxproj2cmake
• How to support both vcxproj to cmake on a project?

All ended with errors, some didn't even get past the first few files in the compile queue... Sadly i have no idea how to write a makefile (or make-config) myself – otherwise i wouldn't bother you.

So my question is: Did anyone of your team try to compile and run it on Linux or macOS? If so, could you please ask them to write down a few steps or a small guide on how to compile it on other systems?

I've waited eagerly to try out the project since the first announcement of the paper on reddit and was a little bit disappointed when i saw that the files were only usable on Windows. But don't get me wrong – i'm still glad that the source files are available!

I have already compiled Caffe (from the official site) a few times with python2 & 3.x support, but for some reason with this project's version i can't get past the last steps of the build (some problem with missing functions for hdf5: "Undefined symbols for architecture x86_64: "_H5LTfind_dataset" and more).

And even if i did get Caffe running, i wouldn't know how to configure and make/compile the files in the windows/deep_image_analogy/source folder. I've tried to compile everything with nvcc but its either missing some include files – or when i include them manually it throws a lot of errors.

So any kind of help is deeply appreciated!

hello，

when i run "sh scripts/make_deep_image_analogy.sh" to compile deep_image_analogy, there is an error happened:

/lib64/libgdk-x11-2.0.so.0: undefined reference to `XRRFreeMonitors'
/lib64/libgdk-x11-2.0.so.0: undefined reference to `XRRGetMonitors'

how should I fix this error?

thanks

C:\deep_image_analogy\exe>deep_image_analogy.exe ../models/ ../demo/content.png ../demo/style.png ../demo/output/ 0 0.5 2 0 [libprotobuf WARNING ..\src\google\protobuf\io\coded_stream.cc:537] Reading dangerously large protocol message. If the message turns out to be larger than 2147483647 bytes, parsing will be halted for security reasons. To increase the limit (or to disable these warnings), see CodedInputStream::SetTotalBytesLimit() in google/protobuf/io/coded_stream.h. [libprotobuf WARNING ..\src\google\protobuf\io\coded_stream.cc:78] The total number of bytes read was 574671192 [libprotobuf WARNING ..\src\google\protobuf\io\coded_stream.cc:537] Reading dangerously large protocol message. If the message turns out to be larger than 2147483647 bytes, parsing will be halted for security reasons. To increase the limit (or to disable these warnings), see CodedInputStream::SetTotalBytesLimit() in google/protobuf/io/coded_stream.h. [libprotobuf WARNING ..\src\google\protobuf\io\coded_stream.cc:78] The total number of bytes read was 574671192 Finding nearest neighbor field using PatchMatch Algorithm at layer:conv5_1. Finding nearest neighbor field using PatchMatch Algorithm at layer:conv4_1. Finding nearest neighbor field using PatchMatch Algorithm at layer:conv3_1. Finding nearest neighbor field using PatchMatch Algorithm at layer:conv2_1. Finding nearest neighbor field using PatchMatch Algorithm at layer:conv1_1. Saving flow result. Finished finding ann. Time : 43.575 WARNING: Logging before InitGoogleLogging() is written to STDERR F0526 19:49:36.182569 10584 syncedmem.hpp:31] Check failed: error == cudaSuccess (4 vs. 0) unspecified launch failure *** Check failure stack trace: ***

when running "./deep_image_analogy.exe ../models/ ../demo/content.png ../demo/style.png ../demo/output/ 0 0.5 2 0 " on windows i am getting protobuf errors: https://gist.github.com/aycgit/fcd70d15eb48ea701291dc04256716bf

I am likely just very silly but i found this project interesting and wanted to try it

I have installed caffe with CUDA successfully, but when i compile deep_image_analogy by sh scripts/make_deep_image_analogy.sh Error occurs: /usr/bin/ld: /tmp/tmpxft_00001a5c_00000000-41_DeepAnalogy.o: undefined reference to symbol '_ZN2cv7imwriteERKNS_6StringERKNS_11_InputArrayERKSt6vectorIiSaIiEE' /usr/local/lib/libopencv_imgcodecs.so.3.2: error adding symbols: DSO missing from command line collect2: error: ld returned 1 exit status I search it on the Net, it said that this may be related to my multy opencv version. I had opencv 2.4 and 3.2 in my ubuntu. Below are files in "/usr/local/lib" related to libopencv_improc: But i built caffe with opencv3.2. How can i solve it ? I've been stucked here for 2 days.

hi ,first of all,thanks for your great job ,I am trying to build your linux version Deep-Image-Analogy,I following your build scripts,but some errors come: Do u know what problem is ,I am using the cmake ,the cmake command is something like this:

cmake .. -DCUDA_NVCC_FLAGS=" -D_MWAITXINTRIN_H_INCLUDED -D_FORCE_INLINES -D__STRICT_ANSI__" -DCMAKE_CXX_FLAGS=' -D_MWAITXINTRIN_H_INCLUDED -D_FORCE_INLINES -D__STRICT_ANSI__'

[ 18%] Building NVCC (Device) object src/caffe/CMakeFiles/cuda_compile.dir/layers/cuda_compile_generated_recurrent_layer.cu.o /usr/include/c++/5/bits/stl_iterator_base_types.h(154): error: name followed by "::" must be a class or namespace name detected during: instantiation of class "std::__iterator_traits<_Iterator, void> [with _Iterator=int]" (163): here instantiation of class "std::iterator_traits<_Iterator> [with _Iterator=int]" /home/public/git/LDeep-Image-Analogy/src/caffe/layers/box_annotator_ohem_layer.cu(55): here

/usr/include/c++/5/bits/stl_iterator_base_types.h(155): error: name followed by "::" must be a class or namespace name detected during: instantiation of class "std::__iterator_traits<_Iterator, void> [with _Iterator=int]" (163): here instantiation of class "std::iterator_traits<_Iterator> [with _Iterator=int]" /home/public/git/LDeep-Image-Analogy/src/caffe/layers/box_annotator_ohem_layer.cu(55): here

/usr/include/c++/5/bits/stl_iterator_base_types.h(156): error: name followed by "::" must be a class or namespace name detected during: instantiation of class "std::__iterator_traits<_Iterator, void> [with _Iterator=int]" (163): here instantiation of class "std::iterator_traits<_Iterator> [with _Iterator=int]" /home/public/git/LDeep-Image-Analogy/src/caffe/layers/box_annotator_ohem_layer.cu(55): here

/usr/include/c++/5/bits/stl_iterator_base_types.h(157): error: name followed by "::" must be a class or namespace name

I followed all the procedure as proposed in Linux and run the demo. But the demo keeps running for over 10 minutes. And the gpu usage stays at 0%. What could be the problem?

I am currently reading the paper and confused on what is actually considered as an attribute to transfer. It lists three things: color transfer, texture transfer, and style transfer.

In the example image of monalisa and avatar, looking at the image A', I made the following observation:

• it transferred the color, eyes and lips.

Then why didn't it transfer ears and nose?

What I understand is, it should only transfer color in this set of images. Eyes, lips, ears and nose are individual attributes of that person itself and it shouldn't change. Yes, it may be able to transfer style, i.e. if B' is a photo of girl with tiara headband, then it should transfer this style to A producing A'. But this isn't the case here..

In short, are we actually controlling the attributes to transfer? Or the model takes decisions on its own?

Thank you..

At first, I install protoc-2.6.1, but I get an error:

In file included from .build_release/src/caffe/proto/caffe.pb.cc:4:0: .build_release/src/caffe/proto/caffe.pb.h:12:2: error: #error This file was generated by a newer version of protoc which is #error This file was generated by a newer version of protoc which is ^ .build_release/src/caffe/proto/caffe.pb.h:13:2: error: #error incompatible with your Protocol Buffer headers. Please update #error incompatible with your Protocol Buffer headers. Please update ^ .build_release/src/caffe/proto/caffe.pb.h:14:2: error: #error your headers. #error your headers. ^ In file included from .build_release/src/caffe/proto/caffe.pb.cc:4:0: .build_release/src/caffe/proto/caffe.pb.h:23:35: fatal error: google/protobuf/arena.h: No such file or directory compilation terminated. Makefile:582: recipe for target '.build_release/src/caffe/proto/caffe.pb.o' failed make: *** [.build_release/src/caffe/proto/caffe.pb.o] Error 1

Then I install protoc-3.6.1 instead, but the error still exists.

I think this is because the protocol compiler (protoc) and the library header (/usr/include/google/protobuf) are inconsistent.

% protoc --version libprotoc 3.6.1 % grep GOOGLE_PROTOBUF_VERSION /usr/include/google/protobuf/stubs/common.h #define GOOGLE_PROTOBUF_VERSION 2006001

I am not the user of root, and the protoc is installed at my own dir. So anyone could help me solve this problem? Thanks!

Hello,

What are the minimal requirements for the GPU to run the demo: deep_image_analogy.exe ../models/ ../demo/content.png ../demo/style.png ../demo/output/ 0 0.5 2 0 ?

I have nVIdia GTX 970 and Windows 8.1, and it crashes unfortunately somewhere in CUDA with the log:

[libprotobuf WARNING ..\src\google\protobuf\io\coded_stream.cc:537] Reading dang erously large protocol message. If the message turns out to be larger than 2147 483647 bytes, parsing will be halted for security reasons. To increase the limi t (or to disable these warnings), see CodedInputStream::SetTotalBytesLimit() in google/protobuf/io/coded_stream.h. [libprotobuf WARNING ..\src\google\protobuf\io\coded_stream.cc:78] The total num ber of bytes read was 574671192 [libprotobuf WARNING ..\src\google\protobuf\io\coded_stream.cc:537] Reading dang erously large protocol message. If the message turns out to be larger than 2147 483647 bytes, parsing will be halted for security reasons. To increase the limi t (or to disable these warnings), see CodedInputStream::SetTotalBytesLimit() in google/protobuf/io/coded_stream.h. [libprotobuf WARNING ..\src\google\protobuf\io\coded_stream.cc:78] The total num ber of bytes read was 574671192 Finding nearest neighbor field using PatchMatch Algorithm at layer:conv5_1. Finding nearest neighbor field using PatchMatch Algorithm at layer:conv4_1. Finding nearest neighbor field using PatchMatch Algorithm at layer:conv3_1. Finding nearest neighbor field using PatchMatch Algorithm at layer:conv2_1. Finding nearest neighbor field using PatchMatch Algorithm at layer:conv1_1. Saving flow result. Finished finding ann. Time : 37.588 WARNING: Logging before InitGoogleLogging() is written to STDERR F0827 15:12:08.460532 6884 syncedmem.hpp:31] Check failed: error == cudaSuccess (30 vs. 0) unknown error

This is both for exe-from-git, and for build by myself.

In Debug build I see the error: Finding nearest neighbor field using PatchMatch Algorithm at layer:conv5_1. F0827 15:41:30.334332 4332 pooling_layer.cu:212] Check failed: error == cudaSuc cess (7 vs. 0) too many resources requested for launch

Best regards, Fedor

hello and thanks for the code this is happening on KDE neon user (Ubuntu 16.04) I tried to recompile caffe without cudnn but same problem happens

./demo deep_image_analogy/models/ deep_image_analogy/demo/content.png deep_image_analogy/demo/style.png deep_image_analogy/demo/output/ 0 0.1 2 1
[libprotobuf WARNING google/protobuf/io/coded_stream.cc:537] Reading dangerously large protocol message.  If the message turns out to be larger than 2147483647 bytes, parsing will be halted for security reasons.  To increase the limit (or to disable these warnings), see CodedInputStream::SetTotalBytesLimit() in google/protobuf/io/coded_stream.h.
[libprotobuf WARNING google/protobuf/io/coded_stream.cc:78] The total number of bytes read was 574671192
[libprotobuf WARNING google/protobuf/io/coded_stream.cc:537] Reading dangerously large protocol message.  If the message turns out to be larger than 2147483647 bytes, parsing will be halted for security reasons.  To increase the limit (or to disable these warnings), see CodedInputStream::SetTotalBytesLimit() in google/protobuf/io/coded_stream.h.
[libprotobuf WARNING google/protobuf/io/coded_stream.cc:78] The total number of bytes read was 574671192
Finding nearest neighbor field using PatchMatch Algorithm at layer:conv5_1.
Finding nearest neighbor field using PatchMatch Algorithm at layer:conv4_1.
Finding nearest neighbor field using PatchMatch Algorithm at layer:conv3_1.
Finding nearest neighbor field using PatchMatch Algorithm at layer:conv2_1.
Finding nearest neighbor field using PatchMatch Algorithm at layer:conv1_1.
Refining photo transfer.
Saving flow result.
Finished finding ann. Time : 121.885
*** Error in `./demo': free(): invalid pointer: 0x0000000002281d10 ***
======= Backtrace: =========
/lib/x86_64-linux-gnu/libc.so.6(+0x777e5)[0x7f00373a67e5]
/lib/x86_64-linux-gnu/libc.so.6(+0x8037a)[0x7f00373af37a]
/lib/x86_64-linux-gnu/libc.so.6(cfree+0x4c)[0x7f00373b353c]
/usr/lib/x86_64-linux-gnu/libprotobuf.so.9(_ZN6google8protobuf8internal28DestroyDefaultRepeatedFieldsEv+0x1f)[0x7f002eb5e8af]
/usr/lib/x86_64-linux-gnu/libprotobuf.so.9(_ZN6google8protobuf23ShutdownProtobufLibraryEv+0x8b)[0x7f002eb5db3b]
/usr/lib/x86_64-linux-gnu/libmirprotobuf.so.3(+0x233b9)[0x7f001d3ea3b9]
/lib64/ld-linux-x86-64.so.2(+0x10de7)[0x7f003cdc9de7]
/lib/x86_64-linux-gnu/libc.so.6(+0x39ff8)[0x7f0037368ff8]
/lib/x86_64-linux-gnu/libc.so.6(+0x3a045)[0x7f0037369045]
/lib/x86_64-linux-gnu/libc.so.6(__libc_start_main+0xf7)[0x7f003734f837]
./demo[0x407729]