OpenCV3 Mac版学习笔记

来源：互联网发布：oracle数据库教程编辑：程序博客网时间：2024/06/05 06:56

// Session1to3.hpp

// FirstOpenCVDemo

// Created by Dylan on 2017/12/5.

#ifndef Session1to3_hpp

#define Session1to3_hpp

#include <stdio.h>

#endif /* Session1to3_hpp */

#include <opencv2/opencv.hpp>

#include <opencv2/core/core.hpp>

#include <opencv2/core/utility.hpp>

#include <opencv2/core/utils/trace.hpp>

//#include <opencv2/highgui/highgui.hpp>

//#include <opencv2/videoio.hpp>

//#include <opencv2/imgproc.hpp>

//#include <ctype.h>

using namespacecv;

using namespacestd;

void imageHandle();

void videoHandle(int capType =CAP_ANY);

int application_trace();

int camShiftDemomain();

void loadPicture();

void createWindowsAndTraceBar();

void imwritePicture();

// 图像混合

void mixedPicture();

void imageToVideo();

// Session1to3.cpp

// FirstOpenCVDemo

// Created by Dylan on 2017/12/5.

#include "Session1to3.h"

#pragma mark - --Demo Showcase 示例展示--

string imgPath= "/Users/DylanXiao/Desktop/test.jpg";

// 图像的一些处理方法

void imageHandle()

{

Mat img = imread(imgPath,1);

imshow("image", img);//read original img

// 腐蚀 erode

Mat element = getStructuringElement(MORPH_RECT, Size(15,15));

Mat dstImage;

erode(img, dstImage, element);

imshow("腐蚀效果图", dstImage);

waitKey(0);

// 滤波 blur

Mat blurImg;

blur(img,blurImg,Size(8,8));

imshow("均值滤波【效果图】",blurImg);

waitKey(0);

// 转为灰度图像

Mat grayImg;

cvtColor(img, grayImg, COLOR_BGR2RGB);

imshow("Gray", grayImg);

waitKey(0);

// 转为灰度图像

cvtColor(img, grayImg, CV_BGR2GRAY);

imshow("Gray", grayImg);

waitKey(0);

Mat edge;

blur(grayImg, edge, Size(3,3));// 使用3*3内核降噪

Canny(edge, edge, 3,9,3); // 运行Canny算子

imshow("[效果图]Canny边缘检测", edge);

waitKey(0);

}

// 视频、摄像头的处理方式

void videoHandle(int capType)

{

namedWindow("Capture",WINDOW_NORMAL);

//resizeWindow("Capture", 800, 600);

VideoCapture capture;

//capture.open(capType); //可以将open的参数改为“xxx.avi”视频地址，即可以播放视频

capture.open("/Users/DylanXiao/Desktop/ImgToVideo.avi");

while(1){

Mat frame;

capture >> frame; // read current img

if (frame.empty())

break;

int newheight =800/ (frame.size().width/(float)frame.size().height);

Size newsize= Size(800,newheight);

resize(frame, frame, newsize);

cvtColor(frame, frame, COLOR_BGR2GRAY);

blur(frame, frame, Size(5,5));

Canny(frame, frame, 0, 30,3);

imshow("Capture", frame);// show current image

waitKey(5); // Delay 30ms

}

int video_picture(string filename)

{

int i =0;

int j =0;

//读入视频

//VideoCapture capture(filename);

VideoCapture capture;

capture.open(0);

double rate = capture.get(CV_CAP_PROP_FPS); //获取视频帧率

//循环读取每一帧

while (1){

Mat frame; //Mat:存储每一帧的图像

capture >> frame; //读取当前帧

imshow("read", frame);

i++;

if (i ==6*rate){ //10fps/s 1min->600fps

i = 0;

j++;

//imshow("读取视频", frame); //显示当前帧

string name_1 = "/Users/DylanXiao/Desktop/image/testImageToVideo/";

string name_2 = to_string(j);

string name_3 = ".jpg";

name_1 += name_2;

name_1 += name_3; //图片存储路径及名字

if (!frame.empty()){

imwrite(name_1, frame);//截取当前帧并以图像的形式保存

waitKey(30); //延时30ms

}

if (frame.empty())

break;

}

if (cv::waitKey(30) ==27) //ESC：ASCⅡ码27

{

cout << "按下ESC键" << endl;

break;

}

waitKey();

return j;

}

void Image_To_Video(int p_num)

{

p_num=24;

char image_name[100];

string s_image_name;

//初始化视频编写器

cv::VideoWriter writer;

int isColor =1; //true

int frame_fps =10;

int frame_width =1280;

int frame_height =720;

usingnamespace cv;

string video_name = "/Users/DylanXiao/Desktop/ImgToVideo.avi"; //视频名字及路径

writer = VideoWriter(video_name, CV_FOURCC('X','V', 'I','D'), frame_fps, Size(frame_width, frame_height), isColor);

cv::namedWindow("image to video", CV_WINDOW_AUTOSIZE);

int i =0;

Mat img;

while (i < p_num)

{

sprintf(image_name, "%s%d%s","/Users/DylanXiao/Desktop/image/testImageToVideo/", ++i,".jpg");

s_image_name = image_name;

img = imread(s_image_name);//读入图片

if (!img.data) //判断图片调入是否成功

{

cout << "Could not load image file...\n" << endl;

}

//非空判断

if (!img.empty())

{

imshow("image to video", img);

cout<<"Write "<<i <<": "<< s_image_name <<endl;

//写入

writer.write(img);

}

if (cv::waitKey(30) ==27) //ESC：ASCⅡ码27

{

cout << "按下ESC键" << endl;

break;

}

cout<<"Write over\n";

}

void imageToVideo()

{

int n = video_picture(""); // 截取帧

Image_To_Video(n); //图像整合成视频

}

#pragma mark - CamshiftDemo

Mat image;

bool backprojMode = false;

bool selectObject = false;

int trackObject = 0;

bool showHist = true;

Point origin;

Rect selection;

int vmin = 10, vmax =256, smin = 30;

// User draws box around object to track. This triggers CAMShift to start tracking

static void onMouse(int event, int x,int y, int,void* )

{

if( selectObject )

{

selection.x = MIN(x, origin.x);

selection.y = MIN(y, origin.y);

selection.width = std::abs(x - origin.x);

selection.height = std::abs(y - origin.y);

selection &= Rect(0,0, image.cols, image.rows);

}

switch( event )

{

case EVENT_LBUTTONDOWN:

origin = Point(x,y);

selection = Rect(x,y,0,0);

selectObject = true;

break;

case EVENT_LBUTTONUP:

selectObject = false;

if( selection.width >0 && selection.height > 0 )

trackObject = -1; // Set up CAMShift properties in main() loop

break;

}

string hot_keys =

"\n\nHot keys: \n"

"\tESC - quit the program\n"

"\tc - stop the tracking\n"

"\tb - switch to/from backprojection view\n"

"\th - show/hide object histogram\n"

"\tp - pause video\n"

"To initialize tracking, select the object with mouse\n";

static void help()

{

cout <<"\nThis is a demo that shows mean-shift based tracking\n"

"You select a color objects such as your face and it tracks it.\n"

"This reads from video camera (0 by default, or the camera number the user enters\n"

"Usage: \n"

" ./camshiftdemo [camera number]\n";

cout <<hot_keys;

}

const char* keys =

{

"{help h | | show help message}{@camera_number| 0 | camera number}"

};

int camShiftDemomain()

{

VideoCapture cap;

Rect trackWindow;

int hsize =16;

float hranges[] = {0,180};

constfloat* phranges = hranges;

cap.open(CAP_ANY);

if( !cap.isOpened() )

{

help();

cout <<"***Could not initialize capturing...***\n";

cout <<"Current parameter's value: \n";

return -1;

}

cout <<hot_keys;

namedWindow("Histogram", 0 );

namedWindow("CamShift Demo", 0 );

setMouseCallback("CamShift Demo",onMouse, 0 );

createTrackbar("Vmin", "CamShift Demo", &vmin,256, 0 );

createTrackbar( "Vmax","CamShift Demo", &vmax, 256, 0 );

createTrackbar( "Smin","CamShift Demo", &smin, 256, 0 );

Mat frame, hsv, hue, mask, hist, histimg = Mat::zeros(200,320, CV_8UC3), backproj;

bool paused =false;

for(;;)

{

if( !paused )

{

cap >> frame;

if(frame.empty())

break;

}

frame.copyTo(image);

if( !paused )

{

cvtColor(image, hsv, COLOR_BGR2HSV);

if( trackObject )

{

int _vmin = vmin, _vmax = vmax;

inRange(hsv, Scalar(0, smin, MIN(_vmin,_vmax)),

Scalar(180,256, MAX(_vmin, _vmax)), mask);

int ch[] = {0,0};

hue.create(hsv.size(), hsv.depth());

mixChannels(&hsv, 1, &hue,1, ch, 1);

if( trackObject <0 )

{

// Object has been selected by user, set up CAMShift search properties once

Mat roi(hue, selection), maskroi(mask, selection);

calcHist(&roi, 1,0, maskroi, hist, 1, &hsize, &phranges);

normalize(hist, hist, 0,255, NORM_MINMAX);

trackWindow = selection;

trackObject = 1;// Don't set up again, unless user selects new ROI

histimg = Scalar::all(0);

int binW = histimg.cols / hsize;

Mat buf(1, hsize, CV_8UC3);

for(int i = 0; i < hsize; i++ )

buf.at<Vec3b>(i) = Vec3b(saturate_cast<uchar>(i*180./hsize),255, 255);

cvtColor(buf, buf, COLOR_HSV2BGR);

for(int i = 0; i < hsize; i++ )

{

int val = saturate_cast<int>(hist.at<float>(i)*histimg.rows/255);

rectangle( histimg, Point(i*binW,histimg.rows),

Point((i+1)*binW,histimg.rows - val),

Scalar(buf.at<Vec3b>(i)), -1,8 );

}

// Perform CAMShift

calcBackProject(&hue, 1,0, hist, backproj, &phranges);

backproj &= mask;

RotatedRect trackBox = CamShift(backproj, trackWindow,

TermCriteria( TermCriteria::EPS | TermCriteria::COUNT,10, 1 ));

if( trackWindow.area() <=1 )

{

int cols = backproj.cols, rows = backproj.rows, r = (MIN(cols, rows) +5)/6;

trackWindow = Rect(trackWindow.x - r, trackWindow.y - r,

trackWindow.x + r, trackWindow.y + r) &

Rect(0,0, cols, rows);

}

if( backprojMode )

cvtColor( backproj, image, COLOR_GRAY2BGR );

ellipse( image, trackBox, Scalar(0,0,255),3, LINE_AA );

}

elseif( trackObject < 0 )

paused = false;

if( selectObject && selection.width >0 && selection.height > 0 )

{

Mat roi(image, selection);

bitwise_not(roi, roi);

}

imshow( "CamShift Demo", image );

imshow( "Histogram", histimg );

char c = (char)waitKey(10);

if( c ==27 )

break;

switch(c)

{

case'b':

backprojMode = !backprojMode;

break;

case'c':

trackObject = 0;

histimg = Scalar::all(0);

break;

case'h':

showHist = !showHist;

if( !showHist )

destroyWindow( "Histogram" );

else

namedWindow( "Histogram",1 );

break;

case'p':

paused = !paused;

break;

default:

;

}

return0;

}

#pragma mark - Trace

static void process_frame(const cv::UMat& frame)

{

CV_TRACE_FUNCTION(); // OpenCV Trace macro for function

imshow("Live", frame);

UMat gray, processed;

cv::cvtColor(frame, gray, COLOR_BGR2GRAY);

Canny(gray, processed, 32,64, 3);

imshow("Processed", processed);

}

int application_trace()

{

CV_TRACE_FUNCTION();

VideoCapture capture;

std::string video = "0";

if (video.size() ==1 && isdigit(video[0]))

capture.open(0);

else

capture.open(video);

int nframes =0;

if (capture.isOpened())

{

nframes = (int)capture.get(CAP_PROP_FRAME_COUNT);

cout << "Video " << video <<

": width=" << capture.get(CAP_PROP_FRAME_WIDTH) <<

", height=" << capture.get(CAP_PROP_FRAME_HEIGHT) <<

", nframes=" << nframes << endl;

}

else

{

cout << "Could not initialize video capturing...\n";

return -1;

}

int N =0;

if (nframes >0 && N > nframes)

N = nframes;

cout << "Start processing..." << endl

<< "Press ESC key to terminate" << endl;

UMat frame;

for (int i =0; N > 0 ? (i < N) :true; i++)

{

CV_TRACE_REGION("FRAME");// OpenCV Trace macro for named "scope" region

{

CV_TRACE_REGION("read");

capture.read(frame);

if (frame.empty())

{

cerr << "Can't capture frame: " << i << std::endl;

break;

}

// OpenCV Trace macro for NEXT named region in the same C++ scope

// Previous "read" region will be marked complete on this line.

// Use this to eliminate unnecessary curly braces.

CV_TRACE_REGION_NEXT("process");

process_frame(frame);

CV_TRACE_REGION_NEXT("delay");

if (waitKey(1) ==27/*ESC*/)

break;

}

return0;

}

#pragma mark - createWindow&TraceBar

void createWindowsAndTraceBar()

{

namedWindow("WindowDemo",WINDOW_NORMAL); // user can resize the window

createTrackbar("Process","WindowDemo", &vmin, 400);

imshow("WindowDemo",0);

waitKey();

// 载入三通道图像

Mat img = imread(imgPath,CV_LOAD_IMAGE_COLOR|CV_LOAD_IMAGE_ANYDEPTH);

imshow("WindowDemo", img);

waitKey();

}

#pragma mark - --OpenCV 入门基本操作--

void loadPicture()

{

imgPath ="/Users/DylanXiao/Desktop/OpenAlphaimage.png";

// 载入三通道图像

Mat img = imread(imgPath,CV_LOAD_IMAGE_COLOR|CV_LOAD_IMAGE_ANYDEPTH);

imshow("image", img);//read original img

waitKey();

// 载入无损的源图像

Mat img2 = imread(imgPath,CV_LOAD_IMAGE_ANYDEPTH|CV_LOAD_IMAGE_ANYCOLOR);

imshow("no lost original", img2);

waitKey();

}

void creatAlphaMat(Mat &mat)

{

for(int i =0 ; i<mat.rows;++i)

{

for(int j=0;j<mat.cols;++j)

{

Vec4b &rgba = mat.at<Vec4b>(i,j);

rgba[0]=UCHAR_MAX;

rgba[1]=saturate_cast<uchar>((float (mat.cols - j)) / (float (mat.cols)) * UCHAR_MAX);

rgba[2]=saturate_cast<uchar>((float (mat.rows - i)) / (float (mat.rows)) * UCHAR_MAX);

rgba[3]=saturate_cast<uchar>(0.5*(rgba[1]+rgba[2]));

}

// 保存图片

void imwritePicture()

{

Mat mat(480,640,CV_8UC(4));

creatAlphaMat(mat);

vector<int> compression_param;

// 这句代码是OpenCV2版

//compression_param.push_back(CV_IMWRITE_PNG_COMPRESSION);

compression_param.push_back(IMWRITE_PNG_COMPRESSION);

compression_param.push_back(9);

namedWindow("WindowDemo",WINDOW_NORMAL); // user can resize the window

try{

imwrite("/Users/DylanXiao/Desktop/OpenAlphaimage.png", mat,compression_param);

imshow("WindowDemo", mat);

fprintf(stdout, "alpha of imge save success.\nyou can see it in your project.\n");

waitKey(0);

}

catch(runtime_error &ex)

{

fprintf(stderr, "Format error：%s\n",ex.what());

}

//混合图片

void mixedPicture()

{

string imgPath1 = "/Users/DylanXiao/Desktop/image/test1.png";

string imgPath2 = "/Users/DylanXiao/Desktop/image/test2.png";

string imgPath3 = "/Users/DylanXiao/Desktop/image/test3.png";

//---------------------[一.图像的载入和显示]---------------------

Mat t1 = imread(imgPath1); //载入图像到Mat

Mat t2 = imread(imgPath2);

Mat t3 = imread(imgPath3);

namedWindow("[1]img_test1"); // 创建相应的名称窗口

namedWindow("[1]img_test2",199);

namedWindow("[1]img_test3");

imshow("[1]img_test1", t1); // 显示名为 winname的窗口

imshow("[1]img_test2", t2); // 显示名为 winname的窗口

imshow("[1]img_test3", t3); // 显示名为 winname的窗口

image = t1;

///---------------------[二.图像初级混合]----------------------

// 定义一个Mat类型，用于存放图像的ROI

Mat imgROI;

// 方法一

imgROI = image(Rect(300,150,t2.cols,t2.rows));

// 方法二

//imgROI = image(Range(350,350+t2.rows),Range(800,800+t2.cols));

//将t2附加到t1上

addWeighted(imgROI, 0.5, t2,0.3, 0., imgROI);

namedWindow("T2+image");

imshow("T2+image", image);

//---------------------[三.图像的输出保存]---------------------

imwrite("/Users/DylanXiao/Desktop/image/TestMixed.jpg",image);

waitKey();

}

#pragma mark - --Demo Showcase 示例展示--

// 边缘检测--opencv 1.0

IplImage* doCanny(IplImage* image_input,

double lowThresh,

double highThresh,

double aperture)

{

if(image_input->nChannels !=1)

return (0);

IplImage* image_output = cvCreateImage(cvGetSize(image_input),

image_input->depth,

image_input->nChannels);

cvCanny(image_input,image_output,lowThresh,highThresh,aperture);

return(image_output);

}

void getImageFromCamera()

{

cvNamedWindow("Camera" , CV_WINDOW_AUTOSIZE );

CvCapture* capture = cvCreateCameraCapture(CV_CAP_ANY);

assert(capture != NULL);

IplImage *frame = 0;

frame = cvQueryFrame(capture);

IplImage *frame_edge = cvCreateImage(cvGetSize(frame),IPL_DEPTH_8U,1);

while(1)

{

frame = cvQueryFrame(capture);

if(!frame)break;

cvConvertImage(frame,frame_edge,0);

frame = cvCloneImage(frame_edge);

frame_edge = doCanny(frame_edge,70,90,3);

cvShowImage("Camera",frame_edge);

char c = cvWaitKey(15);

if(c ==27) break;

}

cvReleaseCapture(&capture);

cvReleaseImage( &frame_edge );

cvReleaseImage( &frame);

}

阅读全文

0 0