Open ando2097 opened 2 years ago
Error when normalising mnist dataset after following instructions from: [NXP tutorial] (https://www.nxp.com/docs/en/application-note/AN12781.pdf)
root@6ced916972d5:/opt/caffe# build/tools/compute_image_mean -backend=lmdb examples/mnist/mnist_train_lmdb examples/mnist/ I0731 11:32:20.036314 1153 db_lmdb.cpp:35] Opened lmdb examples/mnist/mnist_train_lmdb I0731 11:32:20.036592 1153 compute_image_mean.cpp:70] Starting iteration I0731 11:32:20.041849 1153 compute_image_mean.cpp:95] Processed 10000 files. I0731 11:32:20.047762 1153 compute_image_mean.cpp:95] Processed 20000 files. I0731 11:32:20.054062 1153 compute_image_mean.cpp:95] Processed 30000 files. I0731 11:32:20.060184 1153 compute_image_mean.cpp:95] Processed 40000 files. I0731 11:32:20.065790 1153 compute_image_mean.cpp:95] Processed 50000 files. I0731 11:32:20.071755 1153 compute_image_mean.cpp:95] Processed 60000 files. I0731 11:32:20.071797 1153 compute_image_mean.cpp:108] Write to examples/mnist/ F0731 11:32:20.071946 1153 io.cpp:69] Check failed: proto.SerializeToOstream(&output) Check failure stack trace: @ 0x7f04629a15cd google::LogMessage::Fail() @ 0x7f04629a3433 google::LogMessage::SendToLog() @ 0x7f04629a115b google::LogMessage::Flush() @ 0x7f04629a3e1e google::LogMessageFatal::~LogMessageFatal() @ 0x7f0462f1b425 caffe::WriteProtoToBinaryFile() @ 0x403052 main @ 0x7f04618f3830 __libc_start_main @ 0x403259 _start @ (nil) (unknown) Aborted
follow instructions through to step 2 of caffe model training (https://www.nxp.com/docs/en/application-note/AN12781.pdf)
checking disk space (only 2% used) checking permissions for examples/mnist/mnist_train_lmdb (had all necessary permissions)
Issue summary
Error when normalising mnist dataset after following instructions from: [NXP tutorial] (https://www.nxp.com/docs/en/application-note/AN12781.pdf)
root@6ced916972d5:/opt/caffe# build/tools/compute_image_mean -backend=lmdb examples/mnist/mnist_train_lmdb examples/mnist/ I0731 11:32:20.036314 1153 db_lmdb.cpp:35] Opened lmdb examples/mnist/mnist_train_lmdb I0731 11:32:20.036592 1153 compute_image_mean.cpp:70] Starting iteration I0731 11:32:20.041849 1153 compute_image_mean.cpp:95] Processed 10000 files. I0731 11:32:20.047762 1153 compute_image_mean.cpp:95] Processed 20000 files. I0731 11:32:20.054062 1153 compute_image_mean.cpp:95] Processed 30000 files. I0731 11:32:20.060184 1153 compute_image_mean.cpp:95] Processed 40000 files. I0731 11:32:20.065790 1153 compute_image_mean.cpp:95] Processed 50000 files. I0731 11:32:20.071755 1153 compute_image_mean.cpp:95] Processed 60000 files. I0731 11:32:20.071797 1153 compute_image_mean.cpp:108] Write to examples/mnist/ F0731 11:32:20.071946 1153 io.cpp:69] Check failed: proto.SerializeToOstream(&output) Check failure stack trace: @ 0x7f04629a15cd google::LogMessage::Fail() @ 0x7f04629a3433 google::LogMessage::SendToLog() @ 0x7f04629a115b google::LogMessage::Flush() @ 0x7f04629a3e1e google::LogMessageFatal::~LogMessageFatal() @ 0x7f0462f1b425 caffe::WriteProtoToBinaryFile() @ 0x403052 main @ 0x7f04618f3830 __libc_start_main @ 0x403259 _start @ (nil) (unknown) Aborted
Steps to reproduce
follow instructions through to step 2 of caffe model training (https://www.nxp.com/docs/en/application-note/AN12781.pdf)
Tried solutions
checking disk space (only 2% used) checking permissions for examples/mnist/mnist_train_lmdb (had all necessary permissions)
System configuration
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