加强网站备案管理,flash 网站建设,互联网广告投放,越野车网站模板本文简要介绍OpenCV4在Ubuntu 1810上的安装。目前OpenCV最新的稳定版本是4.0.1#xff0c;可以从官网下载并解压#xff0c;也可以从github上获取最新源码进行安装安装依赖sudo apt-get install cmake build-essential libgtk2.0-dev libavcodec-dev libavformat-dev libjpeg…本文简要介绍OpenCV4在Ubuntu 1810上的安装。目前OpenCV最新的稳定版本是4.0.1可以从官网下载并解压也可以从github上获取最新源码进行安装安装依赖sudo apt-get install cmake build-essential libgtk2.0-dev libavcodec-dev libavformat-dev libjpeg-dev libswscale-dev libtiff5-dev:i386 libtiff5-dev2. 获取opencv并安装注意打开OPENCV_GENERATE_PKGCONFIGON以便pkg-config使用github出现issue如果要加Python3那么请打开对应的选项并填好路径[不过应该没必要pip中的OpenCV现在已经是4的版本了]# step 1
mkdir somedir
cd somedirgit clone https://github.com/opencv/opencv.git
git clone https://github.com/opencv/opencv_contrib.gitcd opencv mkdir build cd build# step 2
#########################################################
# Option 1 :Simple #
#########################################################
cmake -DCMAKE_BUILD_TYPERELEASE -DCMAKE_INSTALL_PREFIX/usr/local -DOPENCV_GENERATE_PKGCONFIGON ..
#########################################################
# Option 2 :more Complex,加入opencv_contrib模块 #
#########################################################
cmake -D CMAKE_BUILD_TYPERELEASE
-D CMAKE_INSTALL_PREFIX/usr/local
-D OPENCV_GENERATE_PKGCONFIGON
-D INSTALL_PYTHON_EXAMPLESON
-D INSTALL_C_EXAMPLESON
-D OPENCV_ENABLE_NONFREEON
-D OPENCV_EXTRA_MODULES_PATH~/Documents/opencv4/opencv_contrib/modules
-D BUILD_EXAMPLESON ..
#########################################################
# Option 3 : #
# OpenCV4.1.1 on Ubuntu1604 with Miniconda3 Python3.7 #
#########################################################
cmake -D CMAKE_BUILD_TYPERELEASE
-D CMAKE_INSTALL_PREFIX/usr/local
-D OPENCV_GENERATE_PKGCONFIGON
-D INSTALL_PYTHON_EXAMPLESON
-D INSTALL_C_EXAMPLESON
-D OPENCV_ENABLE_NONFREEON
-D OPENCV_EXTRA_MODULES_PATH~/repo/opencv_contrib/modules
-D PYTHON3_EXECUTABLE/home/gpu05/miniconda3/bin/python
-D PYTHON_INCLUDE_DIR/home/gpu05/miniconda3/include/python3.7m
-D PYTHON_LIBRARY/home/gpu05/miniconda3/lib/libpython3.7m.so
-D PYTHON3_NUMPY_INCLUDE_DIRS/home/gpu05/miniconda3/pkgs/numpy-1.17.0-py37h95a1406_0/lib/python3.7/site-packages/numpy/core/include/numpy
-D BUILD_EXAMPLESON ..make -j8
sudo make install3. 使用pkg-config测试$ pkg-config --libs --cflags opencv4
-I/usr/local/include/opencv4/opencv -I/usr/local/include/opencv4 -L/usr/local/lib -lopencv_dnn -lopencv_gapi -lopencv_ml -lopencv_objdetect -lopencv_photo -lopencv_stitching -lopencv_video -lopencv_calib3d -lopencv_features2d -lopencv_highgui -lopencv_flann -lopencv_videoio -lopencv_imgcodecs -lopencv_imgproc -lopencv_core4. 小Demo测试show.cpp// show.cpp
#include opencv2/core.hpp
#include opencv2/imgcodecs.hpp
#include opencv2/highgui.hpp#include iostream
#include stringusing namespace cv;
using namespace std;int main( int argc, char** argv )
{String imageName(/home/paul/Pictures/test.jpg ); // by defaultif( argc 1){imageName argv[1];}Mat image;image imread( imageName, IMREAD_COLOR ); // Read the fileif( image.empty() ) // Check for invalid input{cout Could not open or find the image std::endl ;return -1;}namedWindow( Display window, WINDOW_AUTOSIZE ); // Create a window for display.imshow( Display window, image ); // Show our image inside it.waitKey(0); // Wait for a keystroke in the windowreturn 0;
}
编译并执行可加-stdc11选项g show.cpp -o show.o $(pkg-config --libs --cflags opencv4)
or
g -stdc11 show.cpp -o show.o $(pkg-config --libs --cflags opencv4)
./show.o结果如下5. 测试目标检测Demo-Yolo V3进入从git上拉下来的/opencv/samples/dnn目录编译并执行对摄相头进行目标检测cd /yourdir/opencv/samples/dnn
g object_detection.cpp -o object_detection -stdc11 $(pkg-config --libs --cflags opencv4)
./object_detection --aliasyolo --classes/yourdir/opencv/samples/data/dnn/object_detection_classes_yolov3.txt完结
