我已经使用cmake安装了opencv 3.4.4。
在此之前，我已经安装了带有cudnn 6.0的cuda 8.0。
当我运行./deviceQuery时，它会给我：
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 10.0, CUDA Runtime Version = 8.0, NumDevs = 1, Device0 = GeForce GTX 1060
Result = PASS
所以，这意味着我已经在系统上成功安装了cuda。
当我安装opencv 3.4.4并运行cv2.getBuildInformation()时，它会给我：
General configuration for OpenCV 3.4.4 =====================================
Version control: unknown
Extra modules:
Location (extra): /home/qrsn/Packages/opencv/opencv_contrib/modules
Version control (extra): unknown
Platform:
Timestamp: 2018-12-17T15:51:32Z
Host: Linux 4.16.0-041600-generic x86_64
CMake: 3.10.2
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 AVX512_SKX
SSE4_1 (6 files): + SSSE3 SSE4_1
SSE4_2 (2 files): + SSSE3 SSE4_1 POPCNT SSE4_2
FP16 (1 files): + SSSE3 SSE4_1 POPCNT SSE4_2 FP16 AVX
AVX (6 files): + SSSE3 SSE4_1 POPCNT SSE4_2 AVX
AVX2 (12 files): + SSSE3 SSE4_1 POPCNT SSE4_2 FP16 FMA3 AVX AVX2
C/C++:
Built as dynamic libs?: YES
C++ Compiler: /usr/bin/g++-4.8 (ver 4.8.5)
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 -Wno-missing-field-initializers -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -ffast-math -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 -Wno-missing-field-initializers -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -ffast-math -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -fvisibility-inlines-hidden -g -O0 -DDEBUG -D_DEBUG
C Compiler: /usr/bin/gcc-4.8
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 -Wno-missing-field-initializers -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -ffast-math -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 -Wno-missing-field-initializers -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -ffast-math -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: m pthread cudart_static -lpthread dl rt nppc nppi npps cublas cufft -L/usr/local/cuda-8.0/lib64 -L/usr/lib/x86_64-linux-gnu
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 java_bindings_generator line_descriptor ml objdetect optflow phase_unwrapping photo plot python2 python3 python_bindings_generator reg rgbd saliency shape stereo stitching structured_light superres surface_matching text tracking ts video videoio videostab viz xfeatures2d ximgproc xobjdetect xphoto
Disabled: world
Disabled by dependency: -
Unavailable: cnn_3dobj cvv js matlab ovis sfm
Applications: tests perf_tests examples apps
Documentation: NO
Non-free algorithms: NO
GUI:
GTK+: YES (ver 3.22.30)
GThread : YES (ver 2.56.3)
GtkGlExt: NO
OpenGL support: NO
VTK support: YES (ver 6.3.0)
Media I/O:
ZLib: /usr/lib/x86_64-linux-gnu/libz.so (ver 1.2.11)
JPEG: /usr/lib/x86_64-linux-gnu/libjpeg.so (ver 80)
WEBP: /usr/lib/x86_64-linux-gnu/libwebp.so (ver encoder: 0x020e)
PNG: /usr/lib/x86_64-linux-gnu/libpng.so (ver 1.6.34)
TIFF: /usr/lib/x86_64-linux-gnu/libtiff.so (ver 42 / 4.0.9)
JPEG 2000: build (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-gnu/libIlmThread.so (ver 2.2.0)
HDR: YES
SUNRASTER: YES
PXM: YES
Video I/O:
DC1394: YES (ver 2.2.5)
FFMPEG: YES
avcodec: YES (ver 57.107.100)
avformat: YES (ver 57.83.100)
avutil: YES (ver 55.78.100)
swscale: YES (ver 4.8.100)
avresample: NO
GStreamer: NO
libv4l/libv4l2: NO
v4l/v4l2: linux/videodev2.h
Parallel framework: pthreads
Trace: YES (with Intel ITT)
Other third-party libraries:
Intel IPP: 2019.0.0 Gold [2019.0.0]
at: /home/qrsn/Packages/opencv/opencv-3.4.4/build/3rdparty/ippicv/ippicv_lnx/icv
Intel IPP IW: sources (2019.0.0)
at: /home/qrsn/Packages/opencv/opencv-3.4.4/build/3rdparty/ippicv/ippicv_lnx/iw
Lapack: NO
Eigen: YES (ver 3.3.4)
Custom HAL: NO
Protobuf: build (3.5.1)
NVIDIA CUDA: YES (ver 8.0, CUFFT CUBLAS NVCUVID FAST_MATH)
NVIDIA GPU arch: 20 30 35 37 50 52 60 61
NVIDIA PTX archs:
OpenCL: YES (no extra features)
Include path: /home/qrsn/Packages/opencv/opencv-3.4.4/3rdparty/include/opencl/1.2
Link libraries: Dynamic load
Python 2:
Interpreter: /usr/bin/python2.7 (ver 2.7.15)
Libraries: /usr/lib/x86_64-linux-gnu/libpython2.7.so (ver 2.7.15rc1)
numpy: /usr/lib/python2.7/dist-packages/numpy/core/include (ver 1.13.3)
packages path: lib/python2.7/dist-packages
Python 3:
Interpreter: /home/qrsn/.virtualenvs/Training/bin/python3 (ver 3.6.7)
Libraries: /usr/lib/x86_64-linux-gnu/libpython3.6m.so (ver 3.6.7)
numpy: /home/qrsn/.virtualenvs/Training/lib/python3.6/site-packages/numpy/core/include (ver 1.15.4)
packages path: lib/python3.6/site-packages
Python (for build): /usr/bin/python2.7
Pylint: /usr/bin/pylint (ver: 1.8.3, checks: 162)
Flake8: /home/qrsn/.virtualenvs/Training/bin/flake8 (ver: 3.6.0)
Java:
ant: /usr/bin/ant (ver 1.10.3)
JNI: /usr/lib/jvm/default-java/include /usr/lib/jvm/default-java/include/linux /usr/lib/jvm/default-java/include
Java wrappers: YES
Java tests: YES
Install to: /usr/local
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据我了解，opencv已使用cuda和cudnn成功编译。
但是当我使用cv2.dnn.readNetFromCaffe()在深度学习项目中运行计算机视觉时，输出为每秒0.8帧。
那是因为我使用readNetFromCaffe还是编译不正确的opencv。
注意：我曾经编译过opencv
cmake -D CMAKE_BUILD_TYPE=RELEASE \
-D CMAKE_INSTALL_PREFIX=/usr/local \
-D WITH_CUDA=ON \
-D ENABLE_FAST_MATH=1 \
-D CUDA_FAST_MATH=1 \
-D CMAKE_LIBRARY_PATH=/usr/local/cuda-8.0/lib64/stubs \
-D WITH_CUBLAS=1 \
-D INSTALL_PYTHON_EXAMPLES=ON \
-D OPENCV_EXTRA_MODULES_PATH=../../opencv_contrib/modules \
-D BUILD_EXAMPLES=ON ..