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See the reference implementation at http://fcn.berkeleyvision.org. This pre-release is deprecated.
Hi, I tried to use deconv layer with group and bilinear as upsampling instead of using the solver script, but could hardly reproduce the result. Anybody knows the reason?
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Hi I am getting this error :
I0421 02:38:28.223543 24891 net.cpp:299] Memory required for data: 1277452160
[libprotobuf WARNING google/protobuf/io/coded_stream.cc:505] 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 597011289
I installed the protobuf using the command given in google tensorflow website
$ pip install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/protobuf-3.0.0b2.post2-cp27-none-linux_x86_64.whl
However, once I uninstalled that and tried to compile using the github source code from google protobuf, python can't find the google protobuf at all. Can you help me finding a way here?
Thanks in advance
I had same error. I just modified "kDefaultTotalBytesLimit" and "kDefaultTotalBytesWarningThreshold" in the "/usr/include/google/protobuf/io/coded_stream.h". I didn't recompile and reinstall, it works well.
Hello all, Have anyone try to export prediction image using C++, instead of python? I am not the family of python code. Thank all
any c++ for classification or Segmentation would be great.
I trained the FCN32 from the scratch. But the output is zero values (a black image). Could someone help what is the reason? Thanks