系统 mac qt 库 5.8 ide 4.21 opencv 3.4.1
根据网上搭建时老是报这个错
解决方案 报那个错的原因就几个 1.没有实现函数 这个可以排除。
2.没有包含库 对就是这个 但不是只包含网上说的那几个 得全包含（反正包含到不报错为止）
macx{
INCLUDEPATH += /usr/local/opt/opencv@3/include
LIBS += -L/usr/local/Cellar/opencv/3.4.1/lib -lopencv_stitching -lopencv_superres -lopencv_videostab -lopencv_aruco -lopencv_bgsegm -lopencv_bioinspired -lopencv_ccalib -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
}
#-------------------------------------------------
#
# Project created by QtCreator 2018-03-10T18:59:53
#
#-------------------------------------------------
QT += core gui
greaterThan(QT_MAJOR_VERSION, 4): QT += widgets
TARGET = testopencv
TEMPLATE = app
# The following define makes your compiler emit warnings if you use
# any feature of Qt which as been marked as deprecated (the exact warnings
# depend on your compiler). Please consult the documentation of the
# deprecated API in order to know how to port your code away from it.
DEFINES += QT_DEPRECATED_WARNINGS
# You can also make your code fail to compile if you use deprecated APIs.
# In order to do so, uncomment the following line.
# You can also select to disable deprecated APIs only up to a certain version of Qt.
#DEFINES += QT_DISABLE_DEPRECATED_BEFORE=0x060000 # disables all the APIs deprecated before Qt 6.0.0
SOURCES += main.cpp\
mainwindow.cpp
HEADERS += mainwindow.h
FORMS += mainwindow.ui
#INCLUDEPATH += /usr/local/include
#INCLUDEPATH += /usr/local/include/opencv
#INCLUDEPATH += /usr/local/include/opencv2
#LIBS += -L/usr/local/lib \
# -lopencv_core \
# -lopencv_highgui \
# -lopencv_imgproc \
## -lopencv_calib3d
#LIBS += -L/usr/local/lib
# LIBS +=-lopencv_core -lopencv_highgui -lopencv_imgproc -v
macx{
INCLUDEPATH += /usr/local/opt/opencv@3/include
LIBS += -L/usr/local/Cellar/opencv/3.4.1/lib -lopencv_stitching -lopencv_superres -lopencv_videostab -lopencv_aruco -lopencv_bgsegm -lopencv_bioinspired -lopencv_ccalib -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
}
//#include "mainwindow.h"
//#include <QApplication>
//int main(int argc, char *argv[])
//{
// QApplication a(argc, argv);
// MainWindow w;
// w.show();
// return a.exec();
//}
#include <iostream>
#include <string>
#include <vector>
using namespace std;
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
using namespace cv;
int main(int argc, char *argv[])
{
// Mat src = imread("Users/allenboy/Desktop/allen.jpeg");
// if(src.empty())
// {
// cerr << "Please check the path of input image!" << endl;
// return -1;
// }
// const string winname = "src";
// namedWindow(winname, WINDOW_AUTOSIZE);
// imshow(winname, src);
// waitKey(0);
// destroyWindow(winname);
// cv::Mat img = cv::imread("/Users/tianzhaixing/Pictures/jurassic_world.jpg");
// cv::imshow("Image", img);
// cv::waitKey(0);
VideoCapture capture(0); //打开摄像头
Mat frame; //定义储存图像的mat类型变量
//double rate = capture.get(CAP_PROP_FPS); //定义帧率，如果是打开视频文件
Size videoSize(capture.get(CAP_PROP_FRAME_WIDTH), capture.get(CAP_PROP_FRAME_HEIGHT));
VideoWriter writer("Users/allenboy/Desktop/VideoTest.avi", CV_FOURCC('M', 'J', 'P', 'G'), 20, videoSize);
//(5个参数分别为文件名，视频格式，帧率，帧尺寸，bool isColortrue（默认的）如果想保存一个彩色视频，这个值为true，否则为false。)20相当于rate，表示帧率
if (!writer.isOpened()) //测试是否打开写文件成功
{
cout << "写入视频文件打开失败！" << endl;
return -1;
}
int kernel=0; //定义一个变量存储内核值
for (int i = 0; i <200;i++) //拍摄一个10秒的视频，因为上面定义的帧率为20，所以循环200次正好是10秒
{
capture >> frame; //读入帧
imshow("原图", frame); //显示
kernel = (i /10)+1; //设置滤波的内核尺寸kernel，使逐渐增大，内核最小为1，不能为0
blur(frame, frame, Size(kernel,kernel)); //采用一次均值滤波
writer << frame; //写入视频文件
//cvtColor(frame, frame, CV_BGR2GRAY); //彩色转为灰度图
imshow("中值滤波图", frame); //显示
waitKey(30); //等待显示
}
return 0;
}
