我正在实现视频拼接纸并使用 CMake 生成 make 文件。当 CMake 使用 OpenCV 的拼接模块（尤其是搅拌机部分）编译代码时，似乎 CMake 以某种方式未能为编译器传递正确的参数。制作进度因此错误而停止：
/usr/bin/c++ -DOPENCV_TRAITS_ENABLE_DEPRECATED -I/home/kra/dev/Stitcher/include -isystem /usr/local/include -isystem /usr/local/include/opencv -Wall -Wextra -O3 -DNDEBUG -std=gnu++11 -o CMakeFiles/stitcher.dir/src/solver.cpp.o -c /home/kra/dev/Stitcher/src/solver.cpp
In file included from /usr/include/c++/5/vector:64:0,
from /usr/include/c++/5/bits/random.h:34,
from /usr/include/c++/5/random:49,
from /usr/include/c++/5/bits/stl_algo.h:66,
from /usr/include/c++/5/algorithm:62,
from /usr/local/include/opencv2/core/base.hpp:55,
from /usr/local/include/opencv2/core.hpp:54,
from /usr/local/include/opencv2/stitching/detail/blenders.hpp:50,
from /home/kra/dev/Stitcher/src/utilities.cpp:1:
/usr/include/c++/5/bits/stl_vector.h: In instantiation of ‘std::_Vector_base<_Tp, _Alloc>::~_Vector_base() [with _Tp = cv::cuda::GpuMat; _Alloc = std::allocator<cv::cuda::GpuMat>]’:
/usr/include/c++/5/bits/stl_vector.h:425:33: required from ‘std::vector<_Tp, _Alloc>::~vector() [with _Tp = cv::cuda::GpuMat; _Alloc = std::allocator<cv::cuda::GpuMat>]’
/usr/local/include/opencv2/stitching/detail/blenders.hpp:126:18: required from here
/usr/include/c++/5/bits/stl_vector.h:161:9: error: invalid use of incomplete type ‘class cv::cuda::GpuMat’
- this->_M_impl._M_start); }
^
In file included from /usr/local/include/opencv2/core.hpp:54:0,
from /usr/local/include/opencv2/stitching/detail/blenders.hpp:50,
from /home/kra/dev/Stitcher/src/utilities.cpp:1:
/usr/local/include/opencv2/core/base.hpp:717:22: note: forward declaration of ‘class cv::cuda::GpuMat’
class CV_EXPORTS GpuMat;
- Ubuntu 16.04
- OpenCV 3.4.1
我的 CMake 如下所示：
CMAKE_MINIMUM_REQUIRED (VERSION 3.2)
PROJECT(VideoStitcher CXX)
FIND_PACKAGE(OpenCV REQUIRED)
INCLUDE_DIRECTORIES(include)
SET(CMAKE_CXX_STANDARD 11)
SET(CMAKE_VERBOSE_MAKEFILE ON)
if(NOT CMAKE_BUILD_TYPE)
SET(CMAKE_BUILD_TYPE Release)
endif()
SET(CMAKE_CXX_FLAGS "-Wall -Wextra")
FILE(GLOB all_sources "src/*.cpp")
ADD_EXECUTABLE(stitcher ${all_sources})
TARGET_LINK_LIBRARIES(
stitcher
boost_filesystem
boost_system
${OpenCV_LIBS}
)
这很奇怪，因为 OpenCV 成功构建了所有 CPP 示例，我什至可以使用类似于上面的 CMake构建stitching_detailed.cpp示例。以下是我的 OpenCV 构建信息：
-- General configuration for OpenCV 3.4.1 =====================================
-- Version control: 3.4.1
--
-- Extra modules:
-- Location (extra): /home/kra/Softwares/opencv_contrib/modules
-- Version control (extra): 3.4.1-dirty
--
-- Platform:
-- Timestamp: 2018-06-06T22:48:37Z
-- Host: Linux 4.13.0-43-generic x86_64
-- CMake: 3.5.2
-- CMake generator: Unix Makefiles
-- CMake build tool: /usr/bin/make
-- Configuration: RelWithDebInfo
--
-- CPU/HW features:
-- Baseline: SSE SSE2 SSE3
-- requested: SSE3
-- Dispatched code generation: SSE4_1 SSE4_2 FP16 AVX AVX2 AVX512_SKX
-- requested: SSE4_1 SSE4_2 AVX FP16 AVX2 AVX512_SKX
-- SSE4_1 (3 files): + SSSE3 SSE4_1
-- SSE4_2 (1 files): + SSSE3 SSE4_1 POPCNT SSE4_2
-- FP16 (1 files): + SSSE3 SSE4_1 POPCNT SSE4_2 FP16 AVX
-- AVX (5 files): + SSSE3 SSE4_1 POPCNT SSE4_2 AVX
-- AVX2 (9 files): + SSSE3 SSE4_1 POPCNT SSE4_2 FP16 FMA3 AVX AVX2
-- AVX512_SKX (1 files): + SSSE3 SSE4_1 POPCNT SSE4_2 FP16 FMA3 AVX AVX2 AVX_512F AVX512_SKX
--
-- C/C++:
-- Built as dynamic libs?: YES
-- C++ Compiler: /usr/bin/c++ (ver 5.4.0)
-- C++ flags (Release): -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wundef -Winit-self -Wpointer-arith -Wshadow -Wsign-promo -Wuninitialized -Winit-self -Wno-narrowing -Wno-delete-non-virtual-dtor -Wno-comment -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -fvisibility-inlines-hidden -O3 -DNDEBUG -DNDEBUG
-- C++ flags (Debug): -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wundef -Winit-self -Wpointer-arith -Wshadow -Wsign-promo -Wuninitialized -Winit-self -Wno-narrowing -Wno-delete-non-virtual-dtor -Wno-comment -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -fvisibility-inlines-hidden -g -O0 -DDEBUG -D_DEBUG
-- C Compiler: /usr/bin/cc
-- C flags (Release): -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wmissing-prototypes -Wstrict-prototypes -Wundef -Winit-self -Wpointer-arith -Wshadow -Wuninitialized -Winit-self -Wno-narrowing -Wno-comment -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -DNDEBUG -DNDEBUG
-- C flags (Debug): -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wmissing-prototypes -Wstrict-prototypes -Wundef -Winit-self -Wpointer-arith -Wshadow -Wuninitialized -Winit-self -Wno-narrowing -Wno-comment -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -g -O0 -DDEBUG -D_DEBUG
-- Linker flags (Release):
-- Linker flags (Debug):
-- ccache: NO
-- Precompiled headers: YES
-- Extra dependencies: dl m pthread rt cudart nppc nppial nppicc nppicom nppidei nppif nppig nppim nppist nppisu nppitc npps cublas cufft -L/usr/local/cuda-8.0/lib64
-- 3rdparty dependencies:
--
-- OpenCV modules:
-- To be built: aruco bgsegm bioinspired calib3d ccalib core cudaarithm cudabgsegm cudacodec cudafeatures2d cudafilters cudaimgproc cudalegacy cudaobjdetect cudaoptflow cudastereo cudawarping cudev datasets dnn dnn_objdetect dpm face features2d flann freetype fuzzy hdf hfs highgui img_hash imgcodecs imgproc java_bindings_generator line_descriptor ml objdetect optflow phase_unwrapping photo plot python3 python_bindings_generator reg rgbd saliency sfm shape stereo stitching structured_light superres surface_matching text tracking video videoio videostab xfeatures2d ximgproc xobjdetect xphoto
-- Disabled: js world
-- Disabled by dependency: -
-- Unavailable: cnn_3dobj cvv dnn_modern java matlab ovis python2 ts viz
-- Applications: examples apps
-- Documentation: NO
-- Non-free algorithms: NO
--
-- GUI:
-- GTK+: YES (ver 3.18.9)
-- GThread : YES (ver 2.48.2)
-- GtkGlExt: NO
-- VTK support: NO
--
-- Media I/O:
-- ZLib: /home/kra/Softwares/anaconda3/lib/libz.so (ver 1.2.11)
-- JPEG: /home/kra/Softwares/anaconda3/lib/libjpeg.so (ver 90)
-- WEBP: build (ver encoder: 0x020e)
-- PNG: /home/kra/Softwares/anaconda3/lib/libpng.so (ver 1.6.32)
-- TIFF: /home/kra/Softwares/anaconda3/lib/libtiff.so (ver 42 / 4.0.8)
-- JPEG 2000: /usr/lib/x86_64-linux-gnu/libjasper.so (ver 1.900.1)
-- OpenEXR: build (ver 1.7.1)
--
-- Video I/O:
-- DC1394: NO
-- FFMPEG: YES
-- avcodec: YES (ver 56.60.100)
-- avformat: YES (ver 56.40.101)
-- avutil: YES (ver 54.31.100)
-- swscale: YES (ver 3.1.101)
-- avresample: NO
-- GStreamer: NO
-- libv4l/libv4l2: NO
-- v4l/v4l2: linux/videodev2.h
-- gPhoto2: NO
--
-- Parallel framework: pthreads
--
-- Trace: YES (with Intel ITT)
--
-- Other third-party libraries:
-- Intel IPP: 2017.0.3 [2017.0.3]
-- at: /home/kra/Softwares/opencv/build/3rdparty/ippicv/ippicv_lnx
-- Intel IPP IW: sources (2017.0.3)
-- at: /home/kra/Softwares/opencv/build/3rdparty/ippicv/ippiw_lnx
-- Lapack: NO
-- Eigen: YES (ver 3.2.92)
-- Custom HAL: NO
-- Protobuf: build (3.5.1)
--
-- NVIDIA CUDA: YES (ver 8.0, CUFFT CUBLAS)
-- NVIDIA GPU arch: 20 30 35 37 50 52 60 61
-- NVIDIA PTX archs:
--
-- OpenCL: YES (no extra features)
-- Include path: /home/kra/Softwares/opencv/3rdparty/include/opencl/1.2
-- Link libraries: Dynamic load
--
-- Python 3:
-- Interpreter: /home/kra/Softwares/anaconda3/bin/python3 (ver 3.6.2)
-- Libraries: /usr/lib/x86_64-linux-gnu/libpython3.5m.so.1 (ver 3.6.2)
-- numpy: /home/kra/Softwares/anaconda3/lib/python3.6/site-packages/numpy/core/include (ver 1.13.3)
-- packages path: lib/python3.6/site-packages
--
-- Python (for build): /home/kra/Softwares/anaconda3/envs/oc/bin/python3.5
-- Pylint: /home/kra/Softwares/anaconda3/bin/pylint (ver: 1.7.2, checks: 116)
--
-- Java:
-- ant: NO
-- JNI: NO
-- Java wrappers: NO
-- Java tests: NO
--
-- Install to: /usr/local
-- -----------------------------------------------------------------
我尝试了各种方法将 CUDA 添加到 CMake，但没有运气。我在互联网上也找不到类似的问题。