环境
MacOS 10.11.6 (15G31)
准备
- 需要brew （自行百度安装）
开始
从官网下载并安装QT5.7.0 opensource离线安装版
官网地址：https://www.qt.io/download-open-source/#section-2
安装后就能在安装目录里找到QtCreator了通过brew安装opencv3
brew install opencv3 --with-contrib --with-ffmpeg --with-gphoto2 --with-gstreamer --with-jasper --with-java --with-opengl --HEAD
说明：
--32-bit
Build 32-bit only
--c++11
Build using C++11 mode
--universal
Build a universal binary
--with-cuda
Build with cuda support
--with-ffmpeg
Build with ffmpeg support
--with-gstreamer
Build with gstreamer support
--with-jasper
Build with jasper support
--with-java
Build with Java support
--with-libdc1394
Build with libdc1394 support
--with-opengl
Build with OpenGL support
--with-openni
Build with openni support
--with-qt
Build the Qt4 backend to HighGUI
--with-quicktime
Use QuickTime for Video I/O instead of QTKit
--with-tbb
Enable parallel code in OpenCV using Intel TBB
--with-vtk
Build with vtk support
--with-ximea
Build with XIMEA support
--without-eigen
Build without eigen support
--without-numpy
Use a numpy you've installed yourself instead of a Homebrew-packaged numpy
--without-opencl
Disable GPU code in OpenCV using OpenCL
--without-openexr
Build without openexr support
--without-python
Build without Python support
--without-test
Build without accuracy & performance tests
--HEAD
Install HEAD version
- 找到opencv链接库
设置下PKG_CONFIG_PATH环境
export PKG_CONFIG_PATH=${PKG_CONFIG_PATH}:/usr/local/opt/opencv3/lib/pkgconfig
通过 pkg-config --libs opencv 命令获取lib位置
如：
$ pkg-config --libs opencv
-L/usr/local/Cellar/opencv3/HEAD/lib -lopencv_stitching -lopencv_superres -lopencv_videostab -lopencv_aruco -lopencv_bgsegm -lopencv_bioinspired -lopencv_ccalib -lopencv_cvv -lopencv_dnn -lopencv_dpm -lopencv_fuzzy -lopencv_line_descriptor -lopencv_optflow -lopencv_plot -lopencv_reg -lopencv_saliency -lopencv_stereo -lopencv_structured_light -lopencv_rgbd -lopencv_surface_matching -lopencv_tracking -lopencv_datasets -lopencv_text -lopencv_face -lopencv_xfeatures2d -lopencv_shape -lopencv_video -lopencv_ximgproc -lopencv_calib3d -lopencv_features2d -lopencv_flann -lopencv_xobjdetect -lopencv_objdetect -lopencv_ml -lopencv_xphoto -lopencv_highgui -lopencv_videoio -lopencv_imgcodecs -lopencv_photo -lopencv_imgproc -lopencv_core
测试下
新建QT项目，设置include和libs
macx{
INCLUDEPATH += /usr/local/opt/opencv3/include
LIBS += -L/usr/local/Cellar/opencv3/HEAD/lib -lopencv_stitching -lopencv_superres -lopencv_videostab -lopencv_aruco -lopencv_bgsegm -lopencv_bioinspired -lopencv_ccalib -lopencv_cvv -lopencv_dnn -lopencv_dpm -lopencv_fuzzy -lopencv_line_descriptor -lopencv_optflow -lopencv_plot -lopencv_reg -lopencv_saliency -lopencv_stereo -lopencv_structured_light -lopencv_rgbd -lopencv_surface_matching -lopencv_tracking -lopencv_datasets -lopencv_text -lopencv_face -lopencv_xfeatures2d -lopencv_shape -lopencv_video -lopencv_ximgproc -lopencv_calib3d -lopencv_features2d -lopencv_flann -lopencv_xobjdetect -lopencv_objdetect -lopencv_ml -lopencv_xphoto -lopencv_highgui -lopencv_videoio -lopencv_imgcodecs -lopencv_photo -lopencv_imgproc -lopencv_core
}
测试代码：
#include <iostream>
#include "opencv2/opencv.hpp"
using namespace std;
int main(int argc, char *argv[])
{
cv::Mat img = cv::imread("/Users/vell/Pictures/desktop.jpg");
cv::imshow("Image", img);
cv::waitKey(0);
return 0;
}
