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F1103 20:53:52.339550 156870 io.cpp:63] Check failed: fd != -1 (-1 vs. -1) File not found: ../models/VOC300TRAINED_4e04e3.caffemodel #1
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Hi, please download the pre-trained model https://github.com/bairdzhang/des/blob/des/initial_models/VOC300TRAINED_4e04e3.caffemodel and change the --weights= option in DES300x300.sh to specify that pre-trained model. |
I am sorry I can not solve it. when I put 'VOC300TRAINED_4e04e3.caffemodel' in ../models or ../models/VGGNet, I met the same error again. and in DES300*300.sh the --weights="../models/VOC300TRAINED_4e04e3.caffemodel" \ |
In jobs/VGGNet/VOC0712/DES300x300/DES300x300.sh, it first enter the root folder of this repo (/workspace/release/caffe-ssd as the example shell script), and run ./build/tools/caffe with the pre-trained model ../models/VOC300TRAINED_4e04e3.caffemodel. A safe way is to try the absolute path of the pre-trained model in the shell script. |
thank you very much. I have solved it in that way. |
I1103 20:53:52.332732 156870 net.cpp:283] Network initialization done.
I1103 20:53:52.333328 156870 solver.cpp:75] Solver scaffolding done.
I1103 20:53:52.339506 156870 caffe.cpp:155] Finetuning from ../models/VOC300TRAINED_4e04e3.caffemodel
F1103 20:53:52.339550 156870 io.cpp:63] Check failed: fd != -1 (-1 vs. -1) File not found: ../models/VOC300TRAINED_4e04e3.caffemodel
*** Check failure stack trace: ***
@ 0x7f7dbc74e5cd google::LogMessage::Fail()
@ 0x7f7dbc750433 google::LogMessage::SendToLog()
@ 0x7f7dbc74e15b google::LogMessage::Flush()
@ 0x7f7dbc750e1e google::LogMessageFatal::~LogMessageFatal()
@ 0x7f7dbce43d3c caffe::ReadProtoFromBinaryFile()
@ 0x7f7dbce281a6 caffe::ReadNetParamsFromBinaryFileOrDie()
@ 0x7f7dbd066c3a caffe::Net<>::CopyTrainedLayersFromBinaryProto()
@ 0x7f7dbd066cde caffe::Net<>::CopyTrainedLayersFrom()
@ 0x40a849 CopyLayers()
@ 0x40bca4 train()
@ 0x4077c8 main
@ 0x7f7dbaee4830 __libc_start_main
@ 0x408099 _start
@ (nil) (unknown)
Aborted (core dumped)
hello , when i run the sudo ./jobs/VGGNet/VOC0712/DES300x300/DES300x300.sh, i met that error, how can i solve it? thank you
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