How to load trained caffe model in h5 format to c++caffe net?

[Nyan Naing]

Normally trained caffe model are in .caffemodel extension and actually they are in binary protobuf format.

Any idea how to load a caffe model in hdf5 format to caffe net in c++?

I have a model trained with python caffe in hdf5 format.

My application is in c++ using caffe c++ version and I prefer to use c++ than python.

How to read the model in caffe trained model in hdf5 format to c++ caffe net?

I know that caffe has hdf5data layer inside. Is there a sample program for that?

I found CopyTrainedLayersFromHDF5(string) API in net.hpp file.

When I load .h5 model using that API, I have error as

HDF5-DIAG: Error detected in HDF5 (1.8.11) thread 140737353775552:
  #000: ../../../src/H5G.c line 463 in H5Gopen2(): unable to open group
    major: Symbol table
    minor: Can't open object
  #001: ../../../src/H5Gint.c line 320 in H5G__open_name(): group not found
    major: Symbol table
    minor: Object not found
  #002: ../../../src/H5Gloc.c line 430 in H5G_loc_find(): can't find object
    major: Symbol table
    minor: Object not found
  #003: ../../../src/H5Gtraverse.c line 861 in H5G_traverse(): internal path traversal failed
    major: Symbol table
    minor: Object not found
  #004: ../../../src/H5Gtraverse.c line 641 in H5G_traverse_real(): traversal operator failed
    major: Symbol table
    minor: Callback failed
  #005: ../../../src/H5Gloc.c line 385 in H5G_loc_find_cb(): object 'data' doesn't exist
    major: Symbol table
    minor: Object not found
F0220 15:26:05.044219 24529 net.cpp:811] Check failed: data_hid >= 0 (-1 vs. 0) Error reading weights from data_800000.h5
*** Check failure stack trace: ***
    @     0x7ffff64afdcd  google::LogMessage::Fail()
    @     0x7ffff64b1d08  google::LogMessage::SendToLog()
    @     0x7ffff64af963  google::LogMessage::Flush()
    @     0x7ffff64b263e  google::LogMessageFatal::~LogMessageFatal()
    @     0x7ffff691c3a3  caffe::Net<>::CopyTrainedLayersFromHDF5()
    @           0x40828d  ExtractFeature::ExtractFeature()
    @           0x40ce78  main
    @     0x7ffff5bf8f45  __libc_start_main
    @           0x4080c9  (unknown)

Program received signal SIGABRT, Aborted.
0x00007ffff5c0dc37 in __GI_raise (sig=sig@entry=6)
    at ../nptl/sysdeps/unix/sysv/linux/raise.c:56
56    ../nptl/sysdeps/unix/sysv/linux/raise.c: No such file or directory.

[Shai Bagon]

solution was found on stackoverflow