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I have copied your files from ./libs/include to caffe_root/include and ./libs/src to caffe_root/src and built the caffe library(make && make pycaffe) by enabling the python layer WITH_PYTHON_LAYER := 1 in Makefile.config. Even then it is reporting an error stating no layer named DeepHandModel. Can you please help in resolving this issue.
Hi Karthee320,
Thanks for your interests on our project. The code should be able to run correctly if you strictly follow the instructions. Please check the following things:
Make sure you have copied the entire folder libs/include/caffe/*.h instead of individual files libs/include/*.h
Make sure you have set the corresponding pycaffe_root in path.config. Note that in Linux the default pycaffe_root is caffe_root/python/
Hi @karthee320 same error i am getting any idea how do you solved. @xingyizhou i have copied all files properly but than i am getting same error. The error stating Unknown layer type: DeepHandModel. However, i have checked deep_hand_model_layers.cpp file is already available in ..DeepModel-master/caffe/src/caffe
Hi,
I have copied your files from ./libs/include to caffe_root/include and ./libs/src to caffe_root/src and built the caffe library(make && make pycaffe) by enabling the python layer WITH_PYTHON_LAYER := 1 in Makefile.config. Even then it is reporting an error stating no layer named DeepHandModel. Can you please help in resolving this issue.
F0606 19:27:40.747319 20872 layer_factory.hpp:80] Check failed: registry.count(type) == 1 (0 vs. 1) Unknown layer type: DeepHandModel (known types: AbsVal, Accuracy, ArgMax, BNLL, BatchNorm, Concat, ContrastiveLoss, Convolution, Data, Deconvolution, Dropout, DummyData, Eltwise, Embed, EuclideanLoss, Exp, Filter, Flatten, HDF5Data, HDF5Output, HingeLoss, Im2col, ImageData, InfogainLoss, InnerProduct, LRN, Log, MVN, MemoryData, MultinomialLogisticLoss, PReLU, Pooling, Power, Python, ReLU, Reduction, Reshape, SPP, Sigmoid, SigmoidCrossEntropyLoss, Silence, Slice, Softmax, SoftmaxWithLoss, Split, TanH, Threshold, Tile, WindowData)
*** Check failure stack trace: ***
Aborted (core dumped)
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