ubuntu 18.04編譯opencv3.4.3 with python3.6 cuda9.2 gdal

時間 2019-12-20

標籤 ubuntu 18.04 編譯 opencv3.4.3 opencv python3.6 python cuda9.2 cuda gdal 欄目 Ubuntu 简体版

原文原文鏈接

慚愧，以前一直沒在linux下編譯過opencv，也沒用過純命令行版的cmake，如今咬牙編譯一次。其實感受還湊合。html

opencv官網文檔仍是那麼爛：https://docs.opencv.org/master/d7/d9f/tutorial_linux_install.htmljava

按這個安裝，仍是會缺不少選項。python

只好參考好幾個blog大概增長下面這些，應該就沒啥問題了linux

比較有用的參考：https://github.com/BVLC/caffe/wiki/OpenCV-3.3-Installation-Guide-on-Ubuntu-16.04c++

1確保屏蔽anaconda

卡了2天，這真是個巨坑！在和caffe裏才發現 https://github.com/BVLC/caffe/issues/1559git

若是已經安裝了anaconda，那麼which python3 會顯示路徑是anaconda下的，連帶的LD_LIBRARY等等路徑，都會優先找這裏，直接致使WITH_GDAL編譯opencv時，libtiff.so也會找到anaconda路徑裏, 結果就是WITH_GDAL死活make不過（WITH_TIFF + BUILD_TIFF能夠，可是沒了直接的GDAL支持。）github

解決辦法：web

sudo xed ~/.profile編程

確保註釋掉了這行ubuntu

#PATH="$HOME/anaconda3/bin:$PATH"

而後

sudo xed ~/.bashrc

確保最後幾行都是註釋掉的

#PATH="/home/machinelearning/anaconda3/bin:$PATH"

# added by Anaconda3 installer
# export PATH="/home/machinelearning/anaconda3/bin:$PATH"

而後註銷一下，確認一下python3的路徑

which python3

顯示這樣就OK了

2 Before Installation

若是不肯意細分依賴庫，直接參考這裏 Installation OpenCV 3.4.1 on Ubuntu 17.10

sudo apt install -y \
        x264 \
        mesa-utils \
        libgtk2.0-dev \
        libxvidcore-dev \
        yasm \
        libxine2-dev \
        libgstreamer1.0-dev libgstreamer-plugins-base1.0-dev \
        libv4l-dev \
        libfaac-dev \
        libmp3lame-dev \
        libopencore-amrnb-dev \
        libtheora-dev \
        libvorbis-dev \
        ffmpeg \
        libpng-dev \
        libdc1394-22-dev \
        qt5-default \
        libtiff5-dev \
        libeigen3-dev libeigen3-doc \
        tesseract-ocr \
        tesseract-ocr-jpn \
        vtk6 \
        tcl-vtk6 \
        python-vtk6 \
        libgflags-dev \
        libleptonica-dev \
        libtesseract-dev \
        gphoto2 \
        liblapacke-dev \
        libgoogle-glog-dev \
        libprotobuf-dev \
        libprotoc-dev \
        protobuf-compiler \
        ccache \
        libgphoto2-dev \
        libavresample-dev \
        libvtk6-dev \
        libvtk6-qt-dev \
        libatlas-base-dev \
        gfortran

也能夠細分一下各依賴庫

圖片格式和gdal

sudo apt-get install --assume-yes libgdal-dev libgtk-3-dev libdc1394-22 libdc1394-22-dev libjpeg-dev libtiff5-dev

注意這裏，libgdal-dev是必裝的，由於編譯時帶着gdal編譯了。但tiff比較糾結， opencv裏用tiff都是4.0 而這裏安裝的是5（ubuntu 在14.04以後就沒有libtiff4了）, 在編譯gdal的時候可能會報錯。因此後面編譯選項裏要有2個和tiff有關的選項。

eigen

sudo apt-get install libeigen3-dev

opengl

引用 https://blog.csdn.net/arag2009/article/details/64439731

若是你開發的是命令行程序並不顯示任何圖像，或者顯示的圖片很簡單，那麼不須要轉換到 cv::ogl 下。

若是你的應用耗費了大量時間在圖片的顯示上，或是但願擁有高質量的界面系統，那麼你能夠藉助 cv::ogl::Texture2D 加速圖像的渲染。

若是你開發的是加強現實應用，你確定已經擁有了本身的三維渲染模塊，能夠考慮與 cv::ogl::Buffer 整合。

若是你已經在使用 CUDA 模塊，對於渲染的時候數據須要回傳到 CPU 表示畫蛇添足，那麼你可使用 CUDA 與 OpenGL 的協同功能去除多餘的數據傳輸。

另外一方面，若是你不是 OpenCV 的用戶可是你正在開發虛擬現實應用，你能夠考慮將視覺計算引入到你的系統中，實現相似 HoloLens 的設備。

參考 https://www.jianshu.com/p/11d279f1bf2c

sudo apt-get install libgl1-mesa-dev libglut-dev

但我實際測試結果是， opencv github 的master 4.0.0pre 不管用gtk仍是qt5.11 只要開了opengl，在編譯到highgui的時候必然報錯（cv::Mat 什麼的），暫時無解

考慮到我暫時不須要渲染3d物體，也不特別在乎cpu-gpu數據copy的代價，因此不帶opengl編譯了。

文檔：

sudo apt-get install doxygen

TBB及其餘

sudo apt-get install --assume-yes libv4l-dev libtbb-dev libfaac-dev libmp3lame-dev libopencore-amrnb-dev libopencore-amrwb-dev libtheora-dev
sudo apt-get install --assume-yes libvorbis-dev libxvidcore-dev v4l-utils vtk6
sudo apt-get install --assume-yes liblapacke-dev libopenblas-dev libgdal-dev checkinstall

lapack

sudo apt-get install libatlas-base-dev

須要在opencv源碼包裏修改。在opencv/cmake/OpenCVFindOpenBLAS.cmake裏增長2個路徑

SET(Open_BLAS_INCLUDE_SEARCH_PATHS

$ENV{OpenBLAS_HOME}

$ENV{OpenBLAS_HOME}/include

/opt/OpenBLAS/include

/usr/local/include/openblas

/usr/include/openblas

/usr/local/include/openblas-base

/usr/include/openblas-base

/usr/local/include

/usr/include

/usr/include/x86_64-linux-gnu

)

SET(Open_BLAS_LIB_SEARCH_PATHS

$ENV{OpenBLAS}cd

$ENV{OpenBLAS}/lib

$ENV{OpenBLAS_HOME}

$ENV{OpenBLAS_HOME}/lib

/opt/OpenBLAS/lib

/usr/local/lib64

/usr/local/lib

/lib/openblas-base

/lib64/

/lib/

/usr/lib/openblas-base

/usr/lib64

/usr/lib

/usr/lib/x86_64-linux-gnu

)

大概每一個人編譯opencv選項都不太同樣吧，

此次不像當年還用intel編譯器+mkl了，稍微少了點折騰。可是又帶上了gdal（以及顯式使用tiff），由於要處理地圖

關了opencl和xfeatures2d是由於make的時候報錯，且我用不上。

在～新建一個opencv_build文件夾，cd進去。複製粘貼下面的配置，注意每一個-D後面沒有空格，每一個之間有空格結尾用了續行符\

~/opencv 是opencv源碼位置，指定了第3方庫的路徑~/opencv_contrib/modules

而後就是python的一大堆路徑，指明我須要python3

而後就是cuda

其餘的qt tbb gdal 都很簡單了。

3 cmake

直接複製運行

cmake ~/opencv\
-DCMAKE_BUILD_TYPE=Release\
-DCMAKE_INSTALL_PREFIX=/usr/local\
-DOPENCV_EXTRA_MODULES_PATH=~/opencv_contrib/modules\
-DBUILD_DOCS=ON\
-DBUILD_EXAMPLES=ON\
-DWITH_TBB=ON\
-DBUILD_TIFF=ON -DWITH_TIFF=ON\
-DWITH_GDAL=ON\
-DWITH_LIBV4L=ON\
-DPYTHON_DEFAULT_EXECUTABLE=/usr/bin/python3\
-DWITH_CUDA=ON -DWITH_CUBLAS=ON -DCUDA_NVCC_FLAGS="-D_FORCE_INLINES"\
-DWITH_OPENCL=OFF\
-DWITH_VTK=OFF\
-DBUILD_opencv_python2=OFF \
-DBUILD_opencv_xfeatures2d=OFF

運行應該顯示這樣

-- General configuration for OpenCV 4.0.0-pre =====================================
-- Version control: 3.4.3-249-g80610ca05
--
-- Extra modules:
-- Location (extra): /home/machinelearning/opencv_contrib/modules
-- Version control (extra): 3.4.3-56-g5c362968
--
-- Platform:
-- Timestamp: 2018-09-11T03:10:03Z
-- Host: Linux 4.15.0-34-generic x86_64
-- CMake: 3.12.1
-- 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 AVX512_SKX
-- requested: SSE4_1 SSE4_2 AVX FP16 AVX2 AVX512_SKX
-- SSE4_1 (4 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 (10 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 7.3.0)
-- 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 -Wsuggest-override -Wno-narrowing -Wno-delete-non-virtual-dtor -Wno-comment -Wimplicit-fallthrough=3 -Wno-strict-overflow -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 -Wsuggest-override -Wno-narrowing -Wno-delete-non-virtual-dtor -Wno-comment -Wimplicit-fallthrough=3 -Wno-strict-overflow -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 -Wimplicit-fallthrough=3 -Wno-strict-overflow -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 -Wimplicit-fallthrough=3 -Wno-strict-overflow -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: YES
-- Precompiled headers: NO
-- 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/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_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 ximgproc xobjdetect xphoto
-- Disabled: js python2 world xfeatures2d
-- Disabled by dependency: sfm
-- Unavailable: cnn_3dobj cvv java matlab ovis viz
-- Applications: tests perf_tests examples apps
-- Documentation: doxygen python
-- Non-free algorithms: NO
--
-- GUI:
-- GTK+: YES (ver 3.22.30)
-- GThread : YES (ver 2.56.2)
-- GtkGlExt: NO
--
-- 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: build (ver 42 - 4.0.9)
-- JPEG 2000: build (ver 1.900.1)
-- OpenEXR: build (ver 1.7.1)
-- GDAL: YES (/usr/lib/libgdal.so)
-- HDR: YES
-- SUNRASTER: YES
-- PXM: YES
-- PFM: 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: 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/videodev2.h
--
-- Parallel framework: TBB (ver 2017.0 interface 9107)
--
-- Trace: YES (with Intel ITT)
--
-- Other third-party libraries:
-- Lapack: YES (/usr/lib/x86_64-linux-gnu/liblapack.so /usr/lib/x86_64-linux-gnu/libcblas.so /usr/lib/x86_64-linux-gnu/libatlas.so)
-- Eigen: YES (ver 3.3.4)
-- Custom HAL: NO
-- Protobuf: build (3.5.1)
--
-- NVIDIA CUDA: YES (ver 9.2, CUFFT CUBLAS NVCUVID)
-- NVIDIA GPU arch: 30 35 37 50 52 60 61 70
-- NVIDIA PTX archs:
--
-- Python 3:
-- Interpreter: /usr/bin/python3 (ver 3.6.5)
-- Libraries: /usr/lib/x86_64-linux-gnu/libpython3.6m.so (ver 3.6.5)
-- numpy: /usr/local/lib/python3.6/dist-packages/numpy/core/include (ver 1.15.1)
-- packages path: lib/python3.6/dist-packages
--
-- Python (for build): /usr/bin/python3
-- Pylint: /usr/local/bin/pylint (ver: 3.6.5, checks: 160)
--
-- Java:
-- ant: NO
-- JNI: NO
-- Java wrappers: NO
-- Java tests: NO
--
-- Matlab: NO
--
-- Install to: /usr/local
-- -----------------------------------------------------------------
--
-- Configuring done
-- Generating done
-- Build files have been written to: /home/machinelearning/opencv_build