我在ubuntu 16.04中使用CUDA安装了OpenCV3.3 我尝试使用CUDA示例代码构建OpenCV。 代码编译成功但我在执行二进制文件时面临以下错误消息。
错误消息是“ *堆栈粉碎检测* ：./ test已终止 中止（核心倾销）“
我想删除此错误消息。如何修复代码或设置？
我的测试代码是
#include <opencv2/core.hpp>
#include <opencv2/core/cuda.hpp>
#include <opencv2/imgcodecs.hpp>
#include <iostream>
using namespace cv;
int main(int argc, const char* argv[])
{
// view OpenCV build information
std::cout << cv::getBuildInformation() << std::endl;
// view CUDA infomation
int dev_id = cv::cuda::getDevice();
std::cout << "cuda get device id is " << dev_id << " getCudaEnabledDeviceCount is " << cv::cuda::getCudaEnabledDeviceCount() << std::endl;
cv::cuda::setDevice(dev_id);
cv::cuda::printCudaDeviceInfo(dev_id);
cv::cuda::resetDevice();
}
和消息
----------
General configuration for OpenCV 3.3.0 =====================================
Version control: unknown
Platform:
Timestamp: 2017-08-23T01:49:09Z
Host: Linux 4.10.0-32-generic x86_64
CMake: 3.5.1
CMake generator: Unix Makefiles
CMake build tool: /usr/bin/make
Configuration: RELEASE
CPU/HW features:
Baseline: SSE SSE2 SSE3
requested: SSE3
Dispatched code generation: SSE4_1 SSE4_2 FP16 AVX AVX2
requested: SSE4_1 SSE4_2 AVX FP16 AVX2
SSE4_1 (2 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 (7 files): + SSSE3 SSE4_1 POPCNT SSE4_2 FP16 FMA3 AVX AVX2
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 dow -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 -msse -mssisibility-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 dow -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 -msse -mssisibility-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 -Wmissin-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 -msse -msse-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 -Wmissin-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 -msse -msse-O0 -DDEBUG -D_DEBUG
Linker flags (Release):
Linker flags (Debug):
ccache: NO
Precompiled headers: YES
Extra dependencies: /usr/lib/x86_64-linux-gnu/libcuda.so /usr/lib/libnvcuvid.so Qt5::Core Qt5::Gui Qt5::Widgets Qt5::Test Qt5::Concurrent Qt5::OpenGL /usr/lib/x86_64-linux-gnu/libpng.so /usr//lib/x86_64-linux-gnu/libtiff.so /usr/lib/x86_64-linux-gnu/libjasper.so /usr/lib/x86_64-linux-gnu/libjpeg.so /usr/lib/x86_64-linux-gnu/libImath.so /usr/lib/x86_64-linux-gnu/libIlmImf.so /usr/lib/x86_64-li-linux-gnu/libHalf.so /usr/lib/x86_64-linux-gnu/libIlmThread.so gstbase-1.0 gstreamer-1.0 gobject-2.0 glib-2.0 gstvideo-1.0 gstapp-1.0 gstriff-1.0 gstpbutils-1.0 dc1394 avcodec-ffmpeg avformat-ffmpeg avutle-ffmpeg dl m pthread rt /usr/lib/x86_64-linux-gnu/libGLU.so /usr/lib/x86_64-linux-gnu/libGL.so /usr/lib/x86_64-linux-gnu/libtbb.so cudart nppc nppi npps cublas cufft -L/usr/local/cuda-8.0/lib64
3rdparty dependencies:
OpenCV modules:
To be built: cudev core cudaarithm flann imgproc ml objdetect video cudabgsegm cudafilters cudaimgproc cudawarping dnn imgcodecs photo shape videoio cudacodec highgui features2d calib3bjdetect cudaoptflow cudastereo stitching superres videostab python3
Disabled: world
Disabled by dependency: -
Unavailable: java python2 ts viz
GUI:
QT 5.x: YES (ver 5.5.1)
QT OpenGL support: YES (Qt5::OpenGL 5.5.1)
OpenGL support: YES (/usr/lib/x86_64-linux-gnu/libGLU.so /usr/lib/x86_64-linux-gnu/libGL.so)
VTK support: NO
Media I/O:
ZLib: /usr/lib/x86_64-linux-gnu/libz.so (ver 1.2.8)
JPEG: /usr/lib/x86_64-linux-gnu/libjpeg.so (ver )
WEBP: build (ver encoder: 0x020e)
PNG: /usr/lib/x86_64-linux-gnu/libpng.so (ver 1.2.54)
TIFF: /usr/lib/x86_64-linux-gnu/libtiff.so (ver 42 - 4.0.6)
JPEG 2000: /usr/lib/x86_64-linux-gnu/libjasper.so (ver 1.900.1)
OpenEXR: /usr/lib/x86_64-linux-gnu/libImath.so /usr/lib/x86_64-linux-gnu/libIlmImf.so /usr/lib/x86_64-linux-gnu/libIex.so /usr/lib/x86_64-linux-gnu/libHalf.so /usr/lib/x86_64-linux
GDAL: NO
GDCM: NO
Video I/O:
DC1394 1.x: NO
DC1394 2.x: YES (ver 2.2.4)
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: YES (ver 2.1.0)
GStreamer:
base: YES (ver 1.8.3)
video: YES (ver 1.8.3)
app: YES (ver 1.8.3)
riff: YES (ver 1.8.3)
pbutils: YES (ver 1.8.3)
OpenNI: NO
OpenNI PrimeSensor Modules: NO
OpenNI2: NO
PvAPI: NO
GigEVisionSDK: NO
Aravis SDK: NO
UniCap: NO
UniCap ucil: NO
V4L/V4L2: NO/YES
XIMEA: NO
Xine: NO
Intel Media SDK: NO
gPhoto2: NO
Parallel framework: TBB (ver 4.4 interface 9002)
Trace: YES (with Intel ITT)
Other third-party libraries:
Use Intel IPP: 2017.0.2 [2017.0.2]
at: /home/test/OpenCv/opencv-3.3.0/build/3rdparty/ippicv/ippicv_lnx
Use Intel IPP IW: prebuilt binaries (2017.0.2)
Use Intel IPP Async: NO
Use VA: NO
Use Intel VA-API/OpenCL: NO
Use Lapack: NO
Use Eigen: YES (ver 3.2.92)
Use Cuda: YES (ver 8.0)
Use OpenCL: YES
Use OpenVX: NO
Use custom HAL: NO
NVIDIA CUDA
Use CUFFT: YES
Use CUBLAS: YES
USE NVCUVID: YES
NVIDIA GPU arch: 20 30 35 37 50 52 60 61
NVIDIA PTX archs:
Use fast math: YES
OpenCL: <Dynamic loading of OpenCL library>
Include path: /home/test/OpenCv/opencv-3.3.0/3rdparty/include/opencl/1.2
Use AMDFFT: NO
Use AMDBLAS: NO
Python 2:
Interpreter: /usr/bin/python2.7 (ver 2.7.12)
Python 3:
Interpreter: /usr/bin/python3 (ver 3.5.2)
Libraries: /usr/lib/x86_64-linux-gnu/libpython3.5m.so (ver 3.5.2)
numpy: /usr/local/lib/python3.5/dist-packages/numpy/core/include (ver 1.13.1)
packages path: lib/python3.5/dist-packages
Python (for build): /usr/bin/python2.7
Java:
ant: NO
JNI: NO
Java wrappers: NO
Java tests: NO
Matlab: Matlab not found or implicitly disabled
Documentation:
Doxygen: NO
Tests and samples:
Tests: NO
Performance tests: NO
C/C++ Examples: YES
Install path: /usr/local
cvconfig.h is in: /home/test/OpenCv/opencv-3.3.0/build
-----------------------------------------------------------------
cuda get device id is 0 getCudaEnabledDeviceCount is 1
*** CUDA Device Query (Runtime API) version (CUDART static linking) ***
Device count: 1
Device 0: "GeForce GTX 1080"
CUDA Driver Version / Runtime Version 8.0 / 8.0
CUDA Capability Major/Minor version number: 6.1
Total amount of global memory: 8112 MBytes (8506048512 bytes)
GPU Clock Speed: 1.73 GHz
Max Texture Dimension Size (x,y,z) 1D=(131072), 2D=(131072,65536), 3D=(16384,16384,16384)
Max Layered Texture Size (dim) x layers 1D=(32768) x 2048, 2D=(32768,32768) x 2048
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 49152 bytes
Total number of registers available per block: 65536
Warp size: 32
Maximum number of threads per block: 1024
Maximum sizes of each dimension of a block: 1024 x 1024 x 64
Maximum sizes of each dimension of a grid: 2147483647 x 65535 x 65535
Maximum memory pitch: 2147483647 bytes
Texture alignment: 512 bytes
Concurrent copy and execution: Yes with 2 copy engine(s)
Run time limit on kernels: No
Integrated GPU sharing Host Memory: No
Support host page-locked memory mapping: Yes
Concurrent kernel execution: Yes
Alignment requirement for Surfaces: Yes
Device has ECC support enabled: No
Device is using TCC driver mode: No
Device supports Unified Addressing (UVA): Yes
Device PCI Bus ID / PCI location ID: 2 / 0
Compute Mode:
Default (multiple host threads can use ::cudaSetDevice() with device simultaneously)
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 8.0, CUDA Runtime Version = 8.0, NumDevs = 1
*** stack smashing detected ***: ./test terminated
Aborted (core dumped)
----------
如何修复此错误？
答案 0 :(得分：0)
我得到了＃34;堆栈粉碎＆＃34;经常。 CUDA代码位于静态库中，以简单的CLI可执行文件链接。清洁重建总是让它消失。我怀疑我的IDE没有重建和重新链接编辑过的文件。