I'm trying to finetune c3dv1.1 for UCFsports dataset using this weight
"c3d_resnet18_ucf101_r2_ft_iter_20000.caffemodel.mdlp". I'm getting following error. Log file is attached. I'm new to deep learning,I don't know reason for this error and how to solve this. Please help.
I'm trying to finetune c3dv1.1 for UCFsports dataset using this weight "c3d_resnet18_ucf101_r2_ft_iter_20000.caffemodel.mdlp". I'm getting following error. Log file is attached. I'm new to deep learning,I don't know reason for this error and how to solve this. Please help.
I0830 17:01:21.922052 4885 net.cpp:84] Creating Layer conv1_relu I0830 17:01:21.922055 4885 net.cpp:406] conv1_relu <- conv1 I0830 17:01:21.922060 4885 net.cpp:367] conv1_relu -> conv1 (in-place) F0830 17:01:22.088516 4885 blob.hpp:140] Check failed: num_axes() <= 4 (5 vs. 4) Cannot use legacy accessors on Blobs with > 4 axes. Check failure stack trace: @ 0x7fa335daedbd google::LogMessage::Fail() @ 0x7fa335db0c5d google::LogMessage::SendToLog() @ 0x7fa335dae9ac google::LogMessage::Flush() @ 0x7fa335db157e google::LogMessageFatal::~LogMessageFatal() @ 0x7fa3363151f1 caffe::Blob<>::LegacyShape() @ 0x7fa3363e1ee6 caffe::CuDNNReLULayer<>::Reshape() @ 0x7fa336347b05 caffe::Net<>::Init() @ 0x7fa3363499d2 caffe::Net<>::Net() @ 0x7fa3364b9ca0 caffe::Solver<>::InitTrainNet() @ 0x7fa3364bac63 caffe::Solver<>::Init() @ 0x7fa3364baf3f caffe::Solver<>::Solver() @ 0x7fa33632c791 caffe::Creator_SGDSolver<>() @ 0x411a16 caffe::SolverRegistry<>::CreateSolver() @ 0x40a97d train() @ 0x40845c main @ 0x7fa334b44f45 (unknown) @ 0x408ccb (unknown) Log.txt