opencv - 使用 opencv_contib 安装 OpenCV 3.2 时为 "OPENCV_TEST_DATA_PATH environment variable was not specified"

标签 opencv build installation opencv3.0 opencv3.1

我正在尝试安装 OpenCV 3.2连同来自 opencv_contrib 的模块在 Ubuntu 16.04 上。

但是,当我运行 sudo make install 命令时,我得到以下输出:

➜  build git:(master) sudo make install
-- Detected version of GNU GCC: 54 (504)
-- FP16: Feature disabled
-- Found ZLIB: /usr/lib64/libz.so (found suitable version "1.2.8", minimum required is "1.2.3") 
-- Found ZLIB: /usr/lib64/libz.so (found version "1.2.8") 
-- Looking for linux/videodev.h
-- Looking for linux/videodev.h - not found
-- Looking for linux/videodev2.h
-- Looking for linux/videodev2.h - found
-- Looking for sys/videoio.h
-- Looking for sys/videoio.h - not found
-- Checking for module 'libavresample'
--   No package 'libavresample' found
-- Checking for module 'libgphoto2'
--   No package 'libgphoto2' found
-- Found TBB: /usr/lib64/libtbb.so
-- found IPP (ICV version): 9.0.1 [9.0.1]
-- at: /home/denis/code/opencv/build/3rdparty/ippicv/ippicv_lnx
-- CUDA detected: 8.0
-- CUDA NVCC target flags: -gencode;arch=compute_20,code=sm_20;-gencode;arch=compute_30,code=sm_30;-gencode;arch=compute_35,code=sm_35;-gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_52,code=sm_52;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-D_FORCE_INLINES
-- LAPACK_IMPL: OpenBLAS, LAPACK_LIBRARIES: /opt/OpenBLAS/lib/libopenblas.so
-- Could NOT find Doxygen (missing:  DOXYGEN_EXECUTABLE) 
-- Could NOT find Matlab (missing:  MATLAB_MEX_SCRIPT MATLAB_INCLUDE_DIRS MATLAB_ROOT_DIR MATLAB_LIBRARIES MATLAB_LIBRARY_DIRS MATLAB_MEXEXT MATLAB_ARCH MATLAB_BIN) 
-- VTK is not found. Please set -DVTK_DIR in CMake to VTK build directory, or to VTK install subdirectory with VTKConfig.cmake file
-- Caffe:   NO
-- Protobuf:   YES
-- Glog:   YES
-- freetype2:   YES
-- harfbuzz:    YES
-- Module opencv_sfm disabled because the following dependencies are not found: Eigen Glog/Gflags
-- Assume that non-module dependency is available: freetype (for module opencv_freetype)
-- Assume that non-module dependency is available: harfbuzz (for module opencv_freetype)
CMake Error at /home/denis/code/opencv_contrib/modules/dnn/CMakeLists.txt:84 (message):
  OPENCV_TEST_DATA_PATH environment variable was not specified


-- Configuring incomplete, errors occurred!
See also "/home/denis/code/opencv/build/CMakeFiles/CMakeOutput.log".
See also "/home/denis/code/opencv/build/CMakeFiles/CMakeError.log".
Makefile:10450: recipe for target 'cmake_check_build_system' failed
make: *** [cmake_check_build_system] Error 1

问题是,我在尝试运行 make -j8 命令时遇到了几乎相同的错误,然后我将 OPENCV_TEST_DATA_PATH 环境变量添加到我的~/.bashrc~/.zshrc 文件如下:

export OPENCV_TEST_DATA_PATH=/home/denis/code/opencv_extra/testdata

我已经下载了 opencv_extra事先 repo 。 错误消失了!我可以成功运行 make -j8 命令。

运行 make -j8 命令后,我尝试运行 sudo make install 命令并获得如上所示的输出。

指定了这个环境变量:

➜  build echo $OPENCV_TEST_DATA_PATH
/home/denis/code/opencv_extra/testdata

所以,我不太确定我应该怎么做才能正确安装 OpenCV。

PS: 这是我使用的 cmake 命令:

cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D WITH_TBB=ON -D BUILD_NEW_PYTHON_SUPPORT=ON -D WITH_V4L=ON -D INSTALL_C_EXAMPLES=ON -D INSTALL_PYTHON_EXAMPLES=ON -D BUILD_EXAMPLES=ON -D WITH_QT=ON -D WITH_OPENGL=ON -D WITH_CUBLAS=ON -D OPENCV_EXTRA_MODULES_PATH=../../opencv_contrib/modules ..

你能帮我解决这个问题吗?

最佳答案

好的,所以错误指向 opencv_contrib/modules/dnn/CMakeLists.txt 文件的第 84 行。我检查了它并试图注释掉整个 Generating test data for Torch importer 东西(查看下面提供的文件的末尾)。

然后我尝试再次运行 sudo make install,一切都很顺利。

我不确定发生了什么以及 Torch 与 OpenCV 有什么关系,但是我确实在我的 Ubuntu 16.04 机器上安装了 Torch7。不确定它是否以某种方式连接,但评论出来有帮助。

重要的是要注意,在 Ubuntu 14.04 机器(没有安装 Torch7)上执行完全相同的步骤时,根本没有出现错误。


下面是对我有用的 opencv_contrib/modules/dnn/CMakeLists.txt 的内容:

cmake_minimum_required(VERSION 2.8)

if(APPLE_FRAMEWORK OR WINRT
    OR AARCH64 # protobuf doesn't know this platform
)
  ocv_module_disable(dnn)
endif()

set(the_description "Deep neural network module. It allows to load models from different frameworks and to make forward pass")
set(OPENCV_MODULE_IS_PART_OF_WORLD OFF)

ocv_add_module(dnn opencv_core opencv_imgproc WRAP python matlab)
ocv_warnings_disable(CMAKE_CXX_FLAGS -Wno-shadow -Wno-parentheses -Wmaybe-uninitialized -Wsign-promo
                                     -Wmissing-declarations -Wmissing-prototypes
)
ocv_warnings_disable(CMAKE_CXX_FLAGS /wd4701 /wd4100)

if(MSVC)
  add_definitions( -D_CRT_SECURE_NO_WARNINGS=1 )
  ocv_warnings_disable(CMAKE_CXX_FLAGS /wd4244 /wd4267 /wd4018 /wd4355 /wd4800 /wd4251 /wd4996 /wd4146
                                       /wd4305 /wd4127 /wd4100 /wd4512 /wd4125 /wd4389 /wd4510 /wd4610
                                       /wd4702 /wd4456 /wd4457 /wd4065 /wd4310 /wd4661 /wd4506
  )
else()
  ocv_warnings_disable(CMAKE_CXX_FLAGS -Wno-deprecated -Wmissing-prototypes -Wmissing-declarations -Wshadow
                                       -Wunused-parameter -Wunused-local-typedefs -Wsign-compare -Wsign-promo
                                       -Wundef -Wtautological-undefined-compare -Wignored-qualifiers -Wextra
                                       -Wunused-function -Wunused-const-variable -Wdeprecated-declarations
  )
endif()

if(ANDROID)
  add_definitions(-DDISABLE_POSIX_MEMALIGN -DTH_DISABLE_HEAP_TRACKING)
endif()

# ----------------------------------------------------------------------------
# Resolve libprotobuf dependency
# ----------------------------------------------------------------------------
include(cmake/OpenCVFindLibProtobuf.cmake)
ocv_source_group("Src\\protobuf" FILES ${PROTOBUF_SRCS} ${PROTOBUF_HDRS})
ocv_module_include_directories(include ${PROTOBUF_INCLUDE_DIR})

ocv_glob_module_sources(${PROTOBUF_SRCS} ${PROTOBUF_HDRS} ${CBLAS_H_PROXY_PATH})
ocv_create_module(${PROTOBUF_LIBRARIES})
ocv_add_samples()
ocv_add_accuracy_tests()
ocv_add_perf_tests()

# ----------------------------------------------------------------------------
# Download pre-trained models for complex testing on GoogLeNet and AlexNet
# ----------------------------------------------------------------------------
OCV_OPTION(${the_module}_DOWNLOAD_CAFFE_MODELS "Use GoogLeNet Caffe model for testing" OFF IF BUILD_TESTS AND DEFINED ENV{OPENCV_TEST_DATA_PATH})
if(BUILD_TESTS AND DEFINED ENV{OPENCV_TEST_DATA_PATH} AND (DOWNLOAD_EXTERNAL_TEST_DATA OR ${the_module}_DOWNLOAD_CAFFE_MODELS))
    add_custom_command( TARGET opencv_test_${name} POST_BUILD
                        COMMAND ${CMAKE_COMMAND} -Dmodel=GoogleNet -P ${CMAKE_CURRENT_SOURCE_DIR}/cmake/download_model.cmake)
    add_definitions(-DENABLE_CAFFE_MODEL_TESTS=1)
endif()

# ----------------------------------------------------------------------------
# Torch7 importer of blobs and models, produced by Torch.nn module
# ----------------------------------------------------------------------------
OCV_OPTION(${the_module}_BUILD_TORCH_IMPORTER "Build Torch model importer" ON)
if(${the_module}_BUILD_TORCH_IMPORTER)
    add_definitions(-DENABLE_TORCH_IMPORTER=1)
    ocv_warnings_disable(CMAKE_CXX_FLAGS /wd4702 /wd4127 /wd4267) #supress warnings in original torch files

    if(NOT DEFINED HAVE_TORCH_EXE)
        execute_process(COMMAND th ${CMAKE_CURRENT_SOURCE_DIR}/testdata/dnn/torch/torch_nn_echo.lua RESULT_VARIABLE TORCH_EXE_STATUS)
        set(HAVE_TORCH_EXE OFF)
        if(${TORCH_EXE_STATUS} EQUAL 0)
            set(HAVE_TORCH_EXE ON)
        endif()
        set(HAVE_TORCH_EXE ${HAVE_TORCH_EXE} CACHE INTERNAL "Have torch binary")
    endif()
endif()

# ----------------------------------------------------------------------------
# Generating test data for Torch importer
# ----------------------------------------------------------------------------
# OCV_OPTION(${the_module}_BUILD_TORCH_TESTS "Build Torch tests (installed torch7 with nn module is required)" ON IF BUILD_TESTS AND ${the_module}_BUILD_TORCH_IMPORTER AND HAVE_TORCH_EXE)
# if(${the_module}_BUILD_TORCH_TESTS)
# 
#     if(NOT DEFINED ENV{OPENCV_TEST_DATA_PATH})
#         message(FATAL_ERROR "OPENCV_TEST_DATA_PATH environment variable was not specified")
#     endif()
# 
#     if(NOT HAVE_TORCH_EXE)
#         message(FATAL_ERROR "Torch executable \"th\" not found or nn module not found")
#     endif()
# 
#     add_custom_command( TARGET opencv_test_${name} POST_BUILD
#                         COMMAND th ${CMAKE_CURRENT_SOURCE_DIR}/testdata/dnn/torch/torch_gen_test_data.lua
#                         WORKING_DIRECTORY  $ENV{OPENCV_TEST_DATA_PATH}/dnn/torch )
#     add_definitions(-DENABLE_TORCH_TESTS=1)
# endif()

关于opencv - 使用 opencv_contib 安装 OpenCV 3.2 时为 "OPENCV_TEST_DATA_PATH environment variable was not specified",我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/41598755/

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