Hi,
I've modified the train_imagenet_classification.sh file to train on my custom lmdb dataset in a docker container with gpu.
But when I execute the script, there is an error:
F0325 02:25:37.788183 4729 db_lmdb.hpp:16] Check failed: mdb_status == 0 (2 vs. 0) No such file or directory
*** Check failure stack trace: ***
@ 0x7f85e11f45cd google::LogMessage::Fail()
@ 0x7f85e11f6433 google::LogMessage::SendToLog()
@ 0x7f85e11f415b google::LogMessage::Flush()
@ 0x7f85e11f6e1e google::LogMessageFatal::~LogMessageFatal()
@ 0x7f85e1de77e0 caffe::db::LMDB::Open()
@ 0x7f85e2282dc7 caffe::DataReader<>::InternalThreadEntryN()
@ 0x7f85e22753f0 caffe::InternalThread::entry()
@ 0x7f85e227745b boost::detail::thread_data<>::run()
@ 0x7f85d0c7e5d5 (unknown)
@ 0x7f85b943c6ba start_thread
@ 0x7f85df96541d clone
@ (nil) (unknown)
I've searched online, and tried the following solutions but none worked:
Set CAFFE_ROOT to /caffe-jacinto
Add /caffe-jacinto/python to PYTHONPATH
use absolute path of the lmdb directory in ./models/image_classification.py instead of relative path
change the permission of the mdb file so it can be read, written and executed
check data.mdb and lock.mdb, both are in the directory and not empty
Thank you for your time and assistance.
Kind regards,
Wenbin
