软硬件环境
- ubuntu 18.04 64bit
- NVIDIA GTX 1070Ti 8G
- anaconda with python 3.6
- opencv 3.4.3
- cuda 9.0
视频看这里
安装显卡驱动和CUDA
ubuntu下安装的方法之前的博文中就有介绍，这里不再赘述，请参考 https://xugaoxiang.com/2019/12/13/ubuntu-cuda/
编译opencv
我这里的python环境anaconda3，如果你不是很熟悉的话，可以参考这篇 https://xugaoxiang.com/2019/12/08/anaconda/
mkdir opencv_cuda
cd opencv_cuda
git clone https://github.com/opencv/opencv.git
cd opencv
git checkout -b 3.4.3
cd ..
git clone https://github.com/opencv/opencv_contrib.git
cd opencv_contrib
git checkout -b 3.4.3
cd ../opencv
mkdir build
cd build
# 根据自己的需要增减，如果你不是在anaconda中使用，CMAKE_INSTALL_PREFIX参数可以设置成/usr/local
cmake -D CMAKE_BUILD_TYPE=RELEASE -D INSTALL_C_EXAMPLES=ON -D INSTALL_PYTHON_EXAMPLES=ON -D OPENCV_EXTRA_MODULES_PATH=../../opencv_contrib/modules -D BUILD_EXAMPLES=ON -D BUILD_opencv_python2=OFF -D BUILD_opencv_python3=ON -D WITH_FFMPEG=ON -D WITH_LIBV4L=ON -D WITH_GTK=ON -D WITH_OPENGL=ON -D WITH_ZLIB=ON -D BUILD_PNG=ON -D BUILD_JPEG=ON -D BUILD_TIFF=ON -D BUILD_TIFF=ON -D WITH_CUDA=ON -D WITH_OPENCL=ON -D ENABLE_FAST_MATH=1 -D CUDA_FAST_MATH=1 -D WITH_CUBLAS=1 -D WITH_LAPACK=OFF -DCMAKE_INSTALL_PREFIX=$(python -c "import sys; print(sys.prefix)") -DPYTHON3_EXECUTABLE=$(which python) -DPYTHON3_INCLUDE_DIR=$(python -c "from distutils.sysconfig import get_python_inc; print(get_python_inc())") -DPYTHON3_PACKAGES_PATH=$(python -c "from distutils.sysconfig import get_python_lib; print(get_python_lib())") ..
make -j8
sudo make install
sudo ldconfigcmake结束后注意看下CUDA和python3相关的输出
-- NVIDIA CUDA: YES (ver 9.0, CUFFT CUBLAS NVCUVID)
-- NVIDIA GPU arch: 62
-- NVIDIA PTX archs:
--
-- OpenCL: YES (no extra features)
-- Include path: /home/longjing/Work/opencv_cuda/opencv/3rdparty/include/opencl/1.2
-- Link libraries: Dynamic load
--
-- Python 3:
-- Interpreter: /home/longjing/anaconda3/bin/python3 (ver 3.6.6)
-- Libraries: NO
-- numpy: /home/longjing/anaconda3/lib/python3.6/site-packages/numpy/core/include (ver 1.12.1)
-- packages path: lib/python3.6/site-packages我在make的过程中出现了如下错误
[ 24%] Generating perf_precomp.hpp.gch/opencv_perf_video_Release.gch
[ 24%] Built target pch_Generate_opencv_stitching
[ 24%] Generating test_precomp.hpp.gch/opencv_test_videostab_Release.gch
[ 24%] Built target pch_Generate_opencv_test_stitching
[ 24%] Built target pch_Generate_opencv_video
[ 24%] Generating perf_precomp.hpp.gch/opencv_perf_superres_Release.gch
[ 24%] Generating precomp.hpp.gch/opencv_superres_Release.gch
[ 24%] Built target pch_Generate_opencv_test_video
[ 24%] Generating test_precomp.hpp.gch/opencv_test_superres_Release.gch
[ 24%] Built target pch_Generate_opencv_perf_stitching
[ 24%] Built target pch_Generate_opencv_perf_video
[ 24%] Built target pch_Generate_opencv_videostab
[ 24%] Building NVCC (Device) object modules/core/CMakeFiles/cuda_compile_1.dir/src/cuda/cuda_compile_1_generated_gpu_mat.cu.o
/home/longjing/Work/opencv_cuda/opencv/modules/core/src/cuda/gpu_mat.cu:47:2: error: #error "opencv_cudev is required"
#error "opencv_cudev is required"
^
CMake Error at cuda_compile_1_generated_gpu_mat.cu.o.Release.cmake:219 (message):
Error generating
/home/longjing/Work/opencv_cuda/opencv/build/modules/core/CMakeFiles/cuda_compile_1.dir/src/cuda/./cuda_compile_1_generated_gpu_mat.cu.o
modules/core/CMakeFiles/opencv_core.dir/build.make:63: recipe for target 'modules/core/CMakeFiles/cuda_compile_1.dir/src/cuda/cuda_compile_1_generated_gpu_mat.cu.o' failed
make[2]: *** [modules/core/CMakeFiles/cuda_compile_1.dir/src/cuda/cuda_compile_1_generated_gpu_mat.cu.o] Error 1
CMakeFiles/Makefile2:1664: recipe for target 'modules/core/CMakeFiles/opencv_core.dir/all' failed
make[1]: *** [modules/core/CMakeFiles/opencv_core.dir/all] Error 2
make[1]: *** Waiting for unfinished jobs....
[ 24%] Built target pch_Generate_opencv_superres
[ 24%] Built target pch_Generate_opencv_perf_superres
[ 24%] Built target pch_Generate_opencv_test_videostab
[ 24%] Built target pch_Generate_opencv_test_superres
Makefile:162: recipe for target 'all' failed
make: *** [all] Error 2看日志应该是找不到外部的module, 这里有个很坑爹的地方，大家一定要注意，参数OPENCV_EXTRA_MODULES_PATH后面跟的路径千万不能有空格，这点也可以通过cmake的汇总信息中查看，对应字段是Extra modules。建议大家，不管是添加还是删除某种特性时，cmake后都去仔细看看这些信息，确认无误后再去make。
-- HDF5: Using hdf5 compiler wrapper to determine C configuration
-- Module opencv_ovis disabled because OGRE3D was not found
-- No preference for use of exported gflags CMake configuration set, and no hints for include/library directories provided. Defaulting to preferring an installed/exported gflags CMake configuration if available.
-- Failed to find installed gflags CMake configuration, searching for gflags build directories exported with CMake.
-- Failed to find gflags - Failed to find an installed/exported CMake configuration for gflags, will perform search for installed gflags components.
-- Failed to find gflags - Could not find gflags include directory, set GFLAGS_INCLUDE_DIR to directory containing gflags/gflags.h
-- Failed to find glog - Could not find glog include directory, set GLOG_INCLUDE_DIR to directory containing glog/logging.h
-- Module opencv_sfm disabled because the following dependencies are not found: Eigen Glog/Gflags
-- Checking for module 'tesseract'
-- No package 'tesseract' found
-- Tesseract: NO
-- HDF5: Using hdf5 compiler wrapper to determine C configuration
-- Registering hook 'INIT_MODULE_SOURCES_opencv_dnn': /home/longjing/xgx/opencv_cuda/opencv/modules/dnn/cmake/hooks/INIT_MODULE_SOURCES_opencv_dnn.cmake
CMake Error at modules/dnn/CMakeLists.txt:97 (message):
CUDA backend for DNN module requires CC 5.3 or higher. Please remove
unsupported architectures from CUDA_ARCH_BIN option.
-- Configuring incomplete, errors occurred!
See also "/home/longjing/xgx/opencv_cuda/opencv/build/CMakeFiles/CMakeOutput.log".
See also "/home/longjing/xgx/opencv_cuda/opencv/build/CMakeFiles/CMakeError.log".
这个错误去修改build/CMakeCache.txt文件中的CUDA_ARCH_BIN，将低的版本号删除即可。
[ 37%] Building NVCC (Device) object modules/cudafilters/CMakeFiles/cuda_compile_1.dir/src/cuda/cuda_compile_1_generated_median_filter.cu.o
[ 37%] Linking CXX executable ../../bin/example_phase_unwrapping_unwrap
../../lib/libopencv_imgcodecs.so.4.0.0: undefined reference to `TIFFReadDirectory@LIBTIFF_4.0'
../../lib/libopencv_imgcodecs.so.4.0.0: undefined reference to `TIFFWriteEncodedStrip@LIBTIFF_4.0'
../../lib/libopencv_imgcodecs.so.4.0.0: undefined reference to `TIFFIsTiled@LIBTIFF_4.0'
../../lib/libopencv_imgcodecs.so.4.0.0: undefined reference to `TIFFOpen@LIBTIFF_4.0'
../../lib/libopencv_imgcodecs.so.4.0.0: undefined reference to `TIFFReadEncodedStrip@LIBTIFF_4.0'
../../lib/libopencv_imgcodecs.so.4.0.0: undefined reference to `TIFFSetField@LIBTIFF_4.0'
../../lib/libopencv_imgcodecs.so.4.0.0: undefined reference to `TIFFWriteScanline@LIBTIFF_4.0'
../../lib/libopencv_imgcodecs.so.4.0.0: undefined reference to `_TIFFfree@LIBTIFF_4.0'
../../lib/libopencv_imgcodecs.so.4.0.0: undefined reference to `TIFFGetField@LIBTIFF_4.0'
../../lib/libopencv_imgcodecs.so.4.0.0: undefined reference to `TIFFScanlineSize@LIBTIFF_4.0'
../../lib/libopencv_imgcodecs.so.4.0.0: undefined reference to `TIFFNumberOfStrips@LIBTIFF_4.0'
../../lib/libopencv_imgcodecs.so.4.0.0: undefined reference to `TIFFWriteDirectory@LIBTIFF_4.0'
../../lib/libopencv_imgcodecs.so.4.0.0: undefined reference to `TIFFSetWarningHandler@LIBTIFF_4.0'
../../lib/libopencv_imgcodecs.so.4.0.0: undefined reference to `_TIFFmalloc@LIBTIFF_4.0'
../../lib/libopencv_imgcodecs.so.4.0.0: undefined reference to `TIFFSetErrorHandler@LIBTIFF_4.0'
../../lib/libopencv_imgcodecs.so.4.0.0: undefined reference to `TIFFReadEncodedTile@LIBTIFF_4.0'
../../lib/libopencv_imgcodecs.so.4.0.0: undefined reference to `TIFFReadRGBATile@LIBTIFF_4.0'
../../lib/libopencv_imgcodecs.so.4.0.0: undefined reference to `TIFFReadScanline@LIBTIFF_4.0'
../../lib/libopencv_imgcodecs.so.4.0.0: undefined reference to `TIFFClose@LIBTIFF_4.0'
../../lib/libopencv_imgcodecs.so.4.0.0: undefined reference to `TIFFRGBAImageOK@LIBTIFF_4.0'
../../lib/libopencv_imgcodecs.so.4.0.0: undefined reference to `TIFFClientOpen@LIBTIFF_4.0'
../../lib/libopencv_imgcodecs.so.4.0.0: undefined reference to `TIFFReadRGBAStrip@LIBTIFF_4.0'
collect2: error: ld returned 1 exit status
modules/phase_unwrapping/CMakeFiles/example_phase_unwrapping_unwrap.dir/build.make:101: recipe for target 'bin/example_phase_unwrapping_unwrap' failed
make[2]: *** [bin/example_phase_unwrapping_unwrap] Error 1
CMakeFiles/Makefile2:5054: recipe for target 'modules/phase_unwrapping/CMakeFiles/example_phase_unwrapping_unwrap.dir/all' failed
make[1]: *** [modules/phase_unwrapping/CMakeFiles/example_phase_unwrapping_unwrap.dir/all] Error 2
make[1]: *** Waiting for unfinished jobs....
conda安装libtiff即可
conda install -c anaconda libtiff由于网络的原因，在编译过程中有些包可能会下载不成功，比如ippicv_2019_lnx_intel64_general_20180723.tgz，遇到这种情况可以这样去解决，首先在源码目录
grep "ippicv_2019_lnx_intel64_general_20180723.tgz" . -r -n命令输出的信息
(base) longjing@ai:~/xgx/opencv_cuda/opencv$ grep "ippicv_2019_lnx_intel64_general_20180723.tgz" . -r -n
./3rdparty/ippicv/ippicv.cmake:21: set(OPENCV_ICV_NAME "ippicv_2019_lnx_intel64_general_20180723.tgz")
./build/CMakeDownloadLog.txt:2:#do_unpack "ippicv_2019_lnx_intel64_general_20180723.tgz" "c0bd78adb4156bbf552c1dfe90599607" "https://raw.githubusercontent.com/opencv/opencv_3rdparty/32e315a5b106a7b89dbed51c28f8120a48b368b4/ippicv/ippicv_2019_lnx_intel64_general_20180723.tgz" "/home/longjing/xgx/opencv_cuda/opencv/build/3rdparty/ippicv"
./build/CMakeDownloadLog.txt:3:#cmake_download "/home/longjing/xgx/opencv_cuda/opencv/.cache/ippicv/c0bd78adb4156bbf552c1dfe90599607-ippicv_2019_lnx_intel64_general_20180723.tgz" "https://raw.githubusercontent.com/opencv/opencv_3rdparty/32e315a5b106a7b89dbed51c28f8120a48b368b4/ippicv/ippicv_2019_lnx_intel64_general_20180723.tgz"
./build/download_with_wget.sh:1:mkdir -p $(dirname /home/longjing/xgx/opencv_cuda/opencv/.cache/ippicv/c0bd78adb4156bbf552c1dfe90599607-ippicv_2019_lnx_intel64_general_20180723.tgz) && wget -O "/home/longjing/xgx/opencv_cuda/opencv/.cache/ippicv/c0bd78adb4156bbf552c1dfe90599607-ippicv_2019_lnx_intel64_general_20180723.tgz" "https://raw.githubusercontent.com/opencv/opencv_3rdparty/32e315a5b106a7b89dbed51c28f8120a48b368b4/ippicv/ippicv_2019_lnx_intel64_general_20180723.tgz"
./build/download_with_curl.sh:1:curl --create-dirs --output "/home/longjing/xgx/opencv_cuda/opencv/.cache/ippicv/c0bd78adb4156bbf552c1dfe90599607-ippicv_2019_lnx_intel64_general_20180723.tgz" "https://raw.githubusercontent.com/opencv/opencv_3rdparty/32e315a5b106a7b89dbed51c28f8120a48b368b4/ippicv/ippicv_2019_lnx_intel64_general_20180723.tgz"
从输出信息中可以看到脚本是从地址https://raw.githubusercontent.com/opencv/opencv_3rdparty/32e315a5b106a7b89dbed51c28f8120a48b368b4/ippicv/ippicv_2019_lnx_intel64_general_20180723.tgz去下载的，我们可以手动去wget，然后自己把文件拷贝到对应的目录中去，比如这里的目录/home/longjing/xgx/opencv_cuda/opencv/.cache/ippicv/c0bd78adb4156bbf552c1dfe90599607-ippicv_2019_lnx_intel64_general_20180723.tgz
验证
通过导入cv2模块，查看方法cv2.getBuildInformation()的输出信息
longjing@FR:~/Work/opencv_cuda/opencv/build$ ipython
Python 3.6.6 | packaged by conda-forge | (default, Oct 12 2018, 14:08:43)
Type 'copyright', 'credits' or 'license' for more information
IPython 7.0.1 -- An enhanced Interactive Python. Type '?' for help.
In [1]: import cv2
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
<ipython-input-1-c8ec22b3e787> in <module>()
----> 1 import cv2
ImportError: /usr/lib/x86_64-linux-gnu/libatk-1.0.so.0: undefined symbol: g_log_structured_standard解决方法:
省事起见，我是直接更新anaconda了，防止类似的错误一再出现
conda update --all我的环境中还出现了一些so找不到的情况，比如libhdf5，通过conda install *安装就可以解决了。
Python 3.6.6 | packaged by conda-forge | (default, Oct 12 2018, 14:08:43)
Type 'copyright', 'credits' or 'license' for more information
IPython 7.0.1 -- An enhanced Interactive Python. Type '?' for help.
In [1]: import cv2
In [2]: cv2.getBuildInformation()
Out[2]: '\nGeneral configuration for OpenCV 4.0.0-pre =====================================\n Version control: 4.0.0-beta-28-gdbed39a93\n\n Extra modules:\n Location (extra): /home/longjing/Work/opencv_cuda/opencv_contrib/modules\n Version control (extra): 4.0.0-beta-4-gfd63e177\n\n Platform:\n Timestamp: 2018-10-26T02:12:24Z\n Host: Linux 4.15.0-33-generic x86_64\n CMake: 3.10.2\n CMake generator: Unix Makefiles\n CMake build tool: /usr/bin/make\n Configuration: RELEASE\n\n CPU/HW features:\n Baseline: SSE SSE2 SSE3\n requested: SSE3\n Dispatched code generation: SSE4_1 SSE4_2 FP16 AVX AVX2 AVX512_SKX\n requested: SSE4_1 SSE4_2 AVX FP16 AVX2 AVX512_SKX\n SSE4_1 (5 files): + SSSE3 SSE4_1\n SSE4_2 (2 files): + SSSE3 SSE4_1 POPCNT SSE4_2\n FP16 (1 files): + SSSE3 SSE4_1 POPCNT SSE4_2 FP16 AVX\n AVX (6 files): + SSSE3 SSE4_1 POPCNT SSE4_2 AVX\n AVX2 (11 files): + SSSE3 SSE4_1 POPCNT SSE4_2 FP16 FMA3 AVX AVX2\n AVX512_SKX (1 files): + SSSE3 SSE4_1 POPCNT SSE4_2 FP16 FMA3 AVX AVX2 AVX_512F AVX512_SKX\n\n C/C++:\n Built as dynamic libs?: YES\n C++ Compiler: /usr/local/cuda-9.0/bin/c++ (ver 5.5.0)\n 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 -ffast-math -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -fvisibility-inlines-hidden -O3 -DNDEBUG -DNDEBUG\n 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 -ffast-math -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -fvisibility-inlines-hidden -g -O0 -DDEBUG -D_DEBUG\n C Compiler: /usr/local/cuda-9.0/bin/cc\n 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 -ffast-math -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -DNDEBUG -DNDEBUG\n 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 -ffast-math -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -g -O0 -DDEBUG -D_DEBUG\n Linker flags (Release): \n Linker flags (Debug): \n ccache: NO\n Precompiled headers: YES\n Extra dependencies: m pthread cudart_static -lpthread dl rt nppc nppial nppicc nppicom nppidei nppif nppig nppim nppist nppisu nppitc npps cublas cufft -L/usr/local/cuda-9.0/lib64 -L/usr/lib/x86_64-linux-gnu\n 3rdparty dependencies:\n\n OpenCV modules:\n 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 gapi 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 shape stereo stitching structured_light superres surface_matching text tracking ts video videoio videostab xfeatures2d ximgproc xobjdetect xphoto\n Disabled: python2 world\n Disabled by dependency: -\n Unavailable: cnn_3dobj cvv java js matlab ovis sfm viz\n Applications: tests perf_tests examples apps\n Documentation: NO\n Non-free algorithms: NO\n\n GUI: \n GTK+: YES (ver 3.22.30)\n GThread : YES (ver 2.56.1)\n GtkGlExt: NO\n OpenGL support: NO\n VTK support: NO\n\n Media I/O: \n ZLib: /usr/lib/x86_64-linux-gnu/libz.so (ver 1.2.11)\n JPEG: /usr/lib/x86_64-linux-gnu/libjpeg.so (ver 80)\n WEBP: /usr/lib/x86_64-linux-gnu/libwebp.so (ver encoder: 0x020e)\n PNG: /usr/lib/x86_64-linux-gnu/libpng.so (ver 1.6.34)\n TIFF: build (ver 42 - 4.0.9)\n JPEG 2000: /home/longjing/anaconda3/lib/libjasper.so (ver 2.0.14)\n 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)\n HDR: YES\n SUNRASTER: YES\n PXM: YES\n PFM: YES\n\n Video I/O:\n DC1394: YES (ver 2.2.5)\n FFMPEG: YES\n avcodec: YES (ver 58.18.100)\n avformat: YES (ver 58.12.100)\n avutil: YES (ver 56.14.100)\n swscale: YES (ver 5.1.100)\n avresample: YES (ver 3.7.0)\n GStreamer: \n base: YES (ver 1.14.1)\n video: YES (ver 1.14.1)\n app: YES (ver 1.14.1)\n riff: YES (ver 1.14.1)\n pbutils: YES (ver 1.14.1)\n libv4l/libv4l2: 1.14.2 / 1.14.2\n v4l/v4l2: linux/videodev.h linux/videodev2.h\n\n Parallel framework: pthreads\n\n Trace: YES (with Intel ITT)\n\n Other third-party libraries:\n Intel IPP: 2017.0.3 [2017.0.3]\n at: /home/longjing/Work/opencv_cuda/opencv/build/3rdparty/ippicv/ippicv_lnx\n Intel IPP IW: sources (2017.0.3)\n at: /home/longjing/Work/opencv_cuda/opencv/build/3rdparty/ippicv/ippiw_lnx\n Eigen: NO\n Custom HAL: NO\n Protobuf: build (3.5.1)\n\n NVIDIA CUDA: YES (ver 9.0, CUFFT CUBLAS NVCUVID FAST_MATH)\n NVIDIA GPU arch: 30 35 37 50 52 60 61 70\n NVIDIA PTX archs:\n\n OpenCL: YES (no extra features)\n Include path: /home/longjing/Work/opencv_cuda/opencv/3rdparty/include/opencl/1.2\n Link libraries: Dynamic load\n\n Python 3:\n Interpreter: /home/longjing/anaconda3/bin/python (ver 3.6.6)\n Libraries: /home/longjing/anaconda3/lib/libpython3.6m.so (ver 3.6.6)\n numpy: /home/longjing/anaconda3/lib/python3.6/site-packages/numpy/core/include (ver 1.15.3)\n packages path: /home/longjing/anaconda3/lib/python3.6/site-packages\n\n Python (for build): /usr/bin/python2.7\n Pylint: /home/longjing/anaconda3/bin/pylint (ver: 3.6.6, checks: 162)\n\n Java: \n ant: NO\n JNI: /usr/lib/jvm/java-8-openjdk-amd64/include /usr/lib/jvm/java-8-openjdk-amd64/include/linux /usr/lib/jvm/java-8-openjdk-amd64/include\n Java wrappers: NO\n Java tests: NO\n\n Install to: /home/longjing/anaconda3\n-----------------------------------------------------------------\n\n' 从上面的输出信息可以看到python中的cv2模块已经使能了CUDA。
在使用opencv进行视频处理的时候，碰到了问题
(Deep learning object detection in OpenCV:8725): GStreamer-CRITICAL **: 15:47:19.541: gst_element_get_state: assertion 'GST_IS_ELEMENT (element)' failed
Unable to stop the stream: Inappropriate ioctl for device
(Deep learning object detection in OpenCV:8725): GStreamer-CRITICAL **: 15:47:19.541: gst_element_make_from_uri: assertion 'gst_uri_is_valid (uri)' faile这个一般都是由于ffmpeg引起的，如果是ubuntu环境就直接sudo apt install ffmpeg libv4l-dev一般就可以解决了，如果使用的是anaconda，就执行下面命令
conda install -c conda-forge ffmpeg然后确认下ffmpeg的路径
longjing@FR:~$ which ffmpeg
/home/longjing/anaconda3/bin/ffmpeg最后进入到opencv目录，重新cmake，看看是不是已经把ffmpeg的特性加进去了
-- Video I/O:
-- DC1394: YES (ver 2.2.5)
-- FFMPEG: YES
-- avcodec: YES (ver 58.18.100)
-- avformat: YES (ver 58.12.100)
-- avutil: YES (ver 56.14.100)
-- swscale: YES (ver 5.1.100)
-- avresample: YES (ver 3.7.0)
-- GStreamer:
-- base: YES (ver 1.14.1)
-- video: YES (ver 1.14.1)
-- app: YES (ver 1.14.1)
-- riff: YES (ver 1.14.1)
-- pbutils: YES (ver 1.14.1)
-- libv4l/libv4l2: 1.14.2 / 1.14.2
-- v4l/v4l2: linux/videodev.h linux/videodev2.h如何加速
这里以在OpenCV中使用YOLOv3模型进行物体检测为例，具体可以看Darknet基本使用
# yolo v3的配置及weights文件
modelConfiguration = "yolov3-voc.cfg"
modelWeights = "voc.weights"
# opencv读取外部模型
net = cv2.dnn.readNetFromDarknet(modelConfiguration, modelWeights)
net.setPreferableBackend(cv2.dnn.DNN_BACKEND_CUDA)
net.setPreferableTarget(cv2.dnn.DNN_TARGET_CUDA)
参考资料
- https://xugaoxiang.com/2019/12/13/ubuntu-cuda/
- https://docs.opencv.org/3.4/d6/d15/tutorial_building_tegra_cuda.html
- https://www.pyimagesearch.com/2016/07/11/compiling-opencv-with-cuda-support/
- https://stackoverflow.com/questions/50177330/how-to-deal-with-importerror-usr-lib-x86-64-linux-gnu-libatk-1-0-so-0-undefi
- https://stackoverflow.com/questions/41200201/opencv-unable-to-stop-the-stream-inappropriate-ioctl-for-device
