2017-02-09 102 views
2

我正在爲我的項目使用caffe library鏈接到Caffe庫的正確方法

CMakeLists.txt文件是遵循

cmake_minimum_required(VERSION 2.6) 
PROJECT(endtoendlib) 
set(Caffe_DIR "/home/Softwares/Libraries/caffe-master/build/cmake") 
include_directories(${PROJECT_BINARY_DIR}) 

# Find Caffe 
FIND_PACKAGE(Caffe REQUIRED) 
# adding sources to target 
add_executable(endtoendlib endtoendLstm.cpp) 
target_link_libraries(endtoendlib ${Caffe_LIBS}) 

當我運行cmake ..,我有錯誤的

CMake Warning (dev) at 
/home/Softwares/Libraries/caffe-master/build/cmake/CaffeConfig.cmake:22 
(if): 
    given arguments: 

    "ON" 

    An argument named "ON" appears in a conditional statement. Policy CMP0012 
    is not set: if() recognizes numbers and boolean constants. Run "cmake 
    --help-policy CMP0012" for policy details. Use the cmake_policy command to 
    set the policy and suppress this warning. 
Call Stack (most recent call first): 
    CMakeLists.txt:9 (FIND_PACKAGE) 
This warning is for project developers. Use -Wno-dev to suppress it. 

我該如何解決這個問題呢?

有沒有更好的方法鏈接到咖啡庫及其配件?

+1

閱讀整個消息,尤其是在最後的一部分說:「這是警告爲項目開發商。使用-Wno-dev來壓制它。「總之,這對Caffe開發者來說是個問題,而不是爲你。你的'CMakeLists.txt'文件應該可以正常工作。或者和它一起生活,用'-Wno-dev'將它沉默或者向Caffe開發者報告並希望他們修復它。 –

+0

@Someprogrammerdude,不,它不起作用。每當我配置,它總是去這個消息。我如何使用-Wno-dev來抑制此警告? – batuman

+0

您能否詳細說明「不起作用」的部分? *如何*不起作用?運行'cmake'時你會得到更多的錯誤或警告嗎?你有構建錯誤嗎?你是如何下載和建立Caffe的?什麼版本?路徑中的名稱'caffe-master'似乎表明您正在使用主分支的Git簽出,而不是依賴實際發佈的版本。您是否嘗試過安裝發佈版本? –

回答

0

對於那些難以使用cmake鏈接到C++項目中的caffe庫的人,以下是我可以成功使用的CMakeLists.txt。請根據您的設置更改爲正確的路徑。

cmake_minimum_required(VERSION 2.6) 
cmake_policy(SET CMP0012 OLD) 

PROJECT(endtoendlib) 


if(ON) 
    if(NOT OpenCV_FOUND) 
    set(Caffe_OpenCV_CONFIG_PATH "/usr/local/share/OpenCV") 
    if(Caffe_OpenCV_CONFIG_PATH) 
     get_filename_component(Caffe_OpenCV_CONFIG_PATH ${Caffe_OpenCV_CONFIG_PATH} ABSOLUTE) 

     if(EXISTS ${Caffe_OpenCV_CONFIG_PATH} AND NOT TARGET opencv_core) 
     message(STATUS "Caffe: using OpenCV config from ${Caffe_OpenCV_CONFIG_PATH}") 
     include(${Caffe_OpenCV_CONFIG_PATH}/OpenCVModules.cmake) 
     endif() 

    else() 
     find_package(OpenCV REQUIRED) 
    endif() 
    unset(Caffe_OpenCV_CONFIG_PATH) 
    endif() 
endif() 

# Compute paths 
get_filename_component(Caffe_CMAKE_DIR "/home/Softwares/Libraries/caffe-master/build/cmake" PATH) 
set(Caffe_INCLUDE_DIRS "/home/Softwares/Libraries/caffe-master/include") 
list(APPEND Caffe_INCLUDE_DIRS "/usr/include") 
list(APPEND Caffe_INCLUDE_DIRS "/usr/local/cuda-8.0/include") 
list(APPEND Caffe_INCLUDE_DIRS "/usr/local/include/opencv") 
list(APPEND Caffe_INCLUDE_DIRS "/usr/include/atlas") 
list(APPEND Caffe_INCLUDE_DIRS "/home/Softwares/Libraries/caffe-master/build/src/") 

# Our library dependencies 
#if(NOT TARGET caffe AND NOT caffe_BINARY_DIR) 
include("/home/Softwares/Libraries/caffe-master/build/ccmake/CaffeTargets.cmake") 
#endif() 

# List of IMPORTED libs created by CaffeTargets.cmake 
set(Caffe_LIBRARIES "/home/Softwares/Libraries/caffe-master/build/lib/libcaffe.so") 

# Definitions 
set(Caffe_DEFINITIONS "-DUSE_OPENCV;-DUSE_LMDB;-DUSE_LEVELDB") 

# Cuda support variables 
set(Caffe_CPU_ONLY OFF) 
set(Caffe_HAVE_CUDA TRUE) 
set(Caffe_HAVE_CUDNN FALSE) 


include_directories(${PROJECT_BINARY_DIR} ${Caffe_INCLUDE_DIRS}) 

# adding sources to target 
add_executable(endtoendlib endtoendLstm.cpp) 
target_link_libraries(endtoendlib ${OpenCV_LIBS} ${Caffe_LIBRARIES} -lglog -lprotobuf -lboost_system) 

如果你有這樣的跟隨誤差,這意味着你沒有建立與朱古力WITH_PYTHON_LAYER := 1 in Makefile.config

Check failed: registry.count(type) == 1 (0 vs. 1) Unknown layer type: ImageData (known types: AbsVal, Accuracy, ArgMax, BNLL, BatchNorm, BatchReindex, Bias, Concat, ContrastiveLoss, Convolution, Crop, Data, Deconvolution, Dropout, DummyData, ELU, Eltwise, Embed, EuclideanLoss, Exp, Filter, Flatten, HDF5Data, HDF5Output, HingeLoss, Im2col, InfogainLoss, InnerProduct, Input, LRN, LSTM, LSTMUnit, Log, MVN, MemoryData, MultinomialLogisticLoss, PReLU, Parameter, Pooling, Power, RNN, ReLU, Reduction, Reshape, SPP, Scale, Sigmoid, SigmoidCrossEntropyLoss, Silence, Slice, Softmax, SoftmaxWithLoss, Split, TanH, Threshold, Tile)