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lmb-freiburg / flownet2

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
https://lmb.informatik.uni-freiburg.de/Publications/2017/IMKDB17/
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Issue in compute_image_mean.o #64

Closed letatanu closed 7 years ago

letatanu commented 7 years ago

Hi, I'm getting this error when compiling Caffe in Flownet2:

CXX/LD -o .build_release/tools/convert_imageset_and_flow.bin .build_release/tools/compute_image_mean.o: In function _GLOBAL__sub_I_compute_image_mean.cpp': compute_image_mean.cpp:(.text.startup+0x16d): undefined reference togoogle::FlagRegisterer::FlagRegisterer<std::cxx11::basic_string<char, std::char_traits, std::allocator > >(char const, char const, char const*, std::cxx11::basic_string<char, std::char_traits, std::allocator >, std::__cxx11::basic_string<char, std::char_traits, std::allocator >)' CXX/LD -o .build_release/tools/net_speed_benchmark.bin collect2: error: ld returned 1 exit status Makefile:620: recipe for target '.build_release/tools/compute_image_mean.bin' failed

I did some research, they recommend using cmake. However, there's no cmake folder in Flownet2's Caffe. Any idea?

nikolausmayer commented 7 years ago

This issue is due to your system setup, not our code. We understand that this repository is not trivial to use, and we regret this, but this is only research code, not a consumer-grade product.

For ease of use, please check out our Docker image. It takes care of all the compilation and you can start working with FlowNet right away: https://github.com/lmb-freiburg/flownet2-docker

If you do not have experience in compilation, I recommend getting help from someone (an admin, a coworker, or another student) who can show you how to understand compilation and linker errors, and how to find files on your machine.

letatanu commented 7 years ago

Thank you. The reason I posted my issue is to help other people getting the same problem. I solved my issue by adding gflags path to Makefile.config.