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OpenCV编译安装配置总结

 
  • Oct 11, 2017
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[TOC]

Overview

  • check version from source 
    modules/core/include/opencv2/core/version.hpp
  • check informations after installation 
    # 查看opencv版本
pkg-config --modversion opencv

# 查看opencv包含目录
pkg-config --cflags opencv

# 查看opencv库目录
pkg-config --libs opencv

Build & Installation

Dependencies

sudo apt install build-essential  
sudo apt install  libgtk2.0-dev libavcodec-dev libavformat-dev  libtiff4-dev  libswscale-dev libjasper-dev
sudo apt install cmake pkg-config

build with CMake

#!/usr/bin/env bash
cmake \
  -D CMAKE_BUILD_TYPE=Release \
  -D CMAKE_INSTALL_PREFIX=/usr/local/opencv_249 \
  -D WITH_VTK=OFF \
  -D WITH_MATLAB=OFF \
  -D WITH_TBB=ON \
  -D WITH_IPP=OFF \
  -D WITH_FFMPEG=OFF \
  -D WITH_V4L=ON \
  -D WITH_CUDA=OFF \
  -D CUDA_GENERATION=Kepler \
  -D ENABLE_PRECOMPILED_HEADERS=OFF \
  -D OPENCV_EXTRA_MODULES_PATH=../../opencv_contrib/modules \
  ..

# or by the CMake curses interface `ccmake`

time make -j4
sudo make install

Uninstall

sudo make uninstall

# or

# install-mainfest.txt包含了安装文件的路径
sudo cat install-manifest.txt | sudo xargs rm

Errors

  • /usr/local/include/c++/6.2.0/cstdlib:75:25: fatal error: stdlib.h: No such file or directory 
      -D ENABLE_PRECOMPILED_HEADERS=OFF
  • nvcc fatal : Unsupported gpu architecture ‘compute_11’ CMake Error at cuda_compile_generated_matrix_operations.cu.o.cmake:206 
      -D CUDA_GENERATION=Kepler
  # When using cmake to do configurations,
  # set the option CUDA_GENERATION to specific your GPU architecture
  • opencv/modules/videoio/src/ffmpeg_codecs.hpp:111:7: error: ‘CODEC_ID_H263P’ was not declared in this scope 
      -D WITH_FFMPEG=OFF

Usage

using g++

g++ `pkg-config opencv --cflags` test.cpp -o test `pkg-config opencv --libs`

using CMake

set(OpenCV_DIR "/home/ubuntu/src/opencv-3.1.0/build")
find_package( OpenCV REQUIRED )
include_directories( ${OpenCV_INCLUDE_DIRS} )

using Makefile

将opencv-3.1.0.pc和opencv-2.4.12.pc拷贝到/usr/lib/pkgconfig目录(可设置PKG_CONFIG_PATH)下， 使用opencv-3.1.0时，Makefile中为：

COMMON  += -DOPENCV
CFLAGS  += -DOPENCV
LDFLAGS += `pkg-config --libs opencv-3.1.0`
COMMON  += `pkg-config --cflags opencv-3.1.0`

使用opencv-2.4.12时，Makefile中为：

COMMON  += -DOPENCV
CFLAGS  += -DOPENCV
LDFLAGS += `pkg-config --libs opencv-2.4.12`
COMMON  += `pkg-config --cflags opencv-2.4.12`

Cross-Compilation

for ARM

for Android

  • 在 platforms/android 目录执行以下代码 
    #!/usr/bin/env bash

# cd `dirname $0`/..   # platforms/

mkdir -p build_android

cd build_android

cmake \
  -DCMAKE_MAKE_PROGRAM="/usr/bin/make" \
  -DCMAKE_BUILD_WITH_INSTALL_RPATH=ON \
  -DCMAKE_INSTALL_PREFIX="/opt/opencv_android_sdk" \
  -DCMAKE_TOOLCHAIN_FILE="../android.toolchain.cmake" \
  -DCMAKE_BUILD_TYPE=Release \
  -DBUILD_SHARED_LIBS=ON \
  -DBUILD_DOCS=OFF \
  -DBUILD_EXAMPLES=OFF \
  -DBUILD_PERF_TESTS=OFF \
  -DBUILD_TESTS=OFF \
  -DBUILD_opencv_java=OFF \
  -DBUILD_opencv_face=OFF \
  -DBUILD_opencv_face=OFF \
  -DWITH_IPP=OFF \
  -DWITH_TBB=OFF \
  -DWITH_TIFF=OFF \
  -DWITH_OPENEXR=OFF \
  -DWITH_OPENCL=ON \
  -DWITH_CUDA=OFF \
  -DWITH_MATLAB=OFF \
  -DOPENCV_EXTRA_MODULES_PATH="../../../../opencv_contrib-3.3.1/modules/"  \
  -DBUILD_ANDROID_EXAMPLES=OFF \
  -DANDROID_NDK=${ANDROID_NDK} \
  -DANDROID_ABI="armeabi-v7a" \
  -DANDROID_ARM_NEON=TRUE \
  -DANDROID_STL=gnustl_static \
  -DANDROID_CPP_FEATURES="rtti exceptions" \
  -DANDROID_NATIVE_API_LEVEL=23 \
  -DANDROID_PLATFORM=android-23 \
  -DANDROID_SDK_TARGET=23 \
  -DANDROID_DISABLE_FORMAT_STRING_CHECKS=TRUE \
  $@ ../../..

# -DANDROID_OPENCL_SDK="./OpenCL-SDK" \
  • to compile for Android with ANDROID_STL=c++_static(shared), use Android NDK own CMake toolchain file and clang(ref: https://github.com/opencv/opencv/issues/8742#issuecomment-385553011) 
    -DCMAKE_TOOLCHAIN_FILE="${ANDROID_NDK}/build/cmake/android.toolchain.cmake" \
-DANDROID_TOOLCHAIN=clang \
-DANDROID_STL=c++_static \
  • with platforms/android/build_sdk.py 
    python build_sdk.py \
  --ndk_path $ANDROID_NDK \
  --sdk_path $ANDROID_SDK \
  --extra_modules_path ../../../opencv_contrib-3.3.1/modules \
  build_cg ../..

Python

with conda

conda search -c https://conda.anaconda.org/menpo opencv*  # 搜索所有opencv版本

conda install -c https://conda.anaconda.org/menpo opencv3 # 安装opencv3
conda install -c https://conda.anaconda.org/menpo opencv  # 安装最新版opencv4

# !!!!!!!!!!!!!!!!!!!
conda install -c conda-forge opencv

conda list opencv3 # 查看版本

with pip

pip install opencv-python
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