软件介绍：
首先介绍一下该软件，这是我在 QT图形界面编程 这门课程上完成的大作业，主要功能分为图像处理以及视频处理两大块。 图像处理包括：灰度化、均值滤波、边缘检测、伽马变换、旋转镜像、亮度调节、二值化、对比度，饱和度调节、色彩调节、图片保存、水印等。 视频处理包括：二值化、边缘检测、灰度化、平滑、局部马赛克、缩放等。 此外还进行了界面美化、中英翻译等。 需要说明的是，由于完成的比较仓促，很多代码存在格式、效率方面的问题，希望dalao们多多包涵~
环境：
软件使用的是QT 5.12.2+QT Creator 4.8.2+win10，QT5版本应该都可行，视频处理涉及到OpenCV，我使用的是OpenCV4.0.1版本。 关于环境的安装我参考的是这篇文章：win10系统Qt5.12配置OpenCV4.0.1库教程暨Qt，OpenCV，Cmake详细下载安装教程（史上最全！），为我提供了非常大的帮助，非常感谢！！ 为了避免出现各种各样奇怪的错误，建议使用和我相同的版本（安装opencv的时候真的踩了很多很多坑）！
话不多说，先看看成品。
图片处理：
效果：
//灰度化
QImage MainWindow::gray(QImage image){
QImage newImage =image.convertToFormat(QImage::Format_ARGB32);
QColor oldColor;
for(int y = 0; y < newImage.height(); y++)
{
for(int x = 0; x < newImage.width(); x++)
{
oldColor = QColor(image.pixel(x,y));
int average = (oldColor.red() + oldColor.green() + oldColor.blue()) / 3;
newImage.setPixel(x, y, qRgb(average, average, average));
}
}
return newImage;
}效果：
//均值滤波
QImage MainWindow::junzhi(QImage image){
int kernel [3][3] = {
{1,1,1},
{1,1,1},
{1,1,1}};
int sizeKernel = 3;
int sumKernel = 9;
QColor color;
for(int x = sizeKernel/2;x<image.width() - sizeKernel/2;x++)
{
for(int y= sizeKernel/2;y<image.height() - sizeKernel/2;y++)
{
int r = 0;
int g = 0;
int b = 0;
for(int i = -sizeKernel/2;i<=sizeKernel/2;i++)
{
for(int j = -sizeKernel/2;j<=sizeKernel/2;j++)
{
color = QColor(image.pixel(x+i,y+j));
r+=color.red()*kernel[sizeKernel/2+i][sizeKernel/2+j];
g+=color.green()*kernel[sizeKernel/2+i][sizeKernel/2+j];
b+=color.blue()*kernel[sizeKernel/2+i][sizeKernel/2+j];
}
}
r = qBound(0,r/sumKernel,255);
g = qBound(0,g/sumKernel,255);
b = qBound(0,b/sumKernel,255);
image.setPixel(x,y,qRgb( r,g,b));
}
}
return image;
}
效果：
//边缘检测
QImage MainWindow::bianyuan(QImage image){
QImage newImage =image.convertToFormat(QImage::Format_ARGB32);
QColor color0;
QColor color1;
QColor color2;
QColor color3;
int r = 0;
int g = 0;
int b = 0;
int rgb = 0;
int r1 = 0;
int g1 = 0;
int b1 = 0;
int rgb1 = 0;
int a = 0;
for( int y = 0; y < image.height() - 1; y++)
{
for(int x = 0; x < image.width() - 1; x++)
{
color0 = QColor ( image.pixel(x,y));
color1 = QColor ( image.pixel(x + 1,y));
color2 = QColor ( image.pixel(x,y + 1));
color3 = QColor ( image.pixel(x + 1,y + 1));
r = abs(color0.red() - color3.red());
g = abs(color0.green() - color3.green());
b = abs(color0.blue() - color3.blue());
rgb = r + g + b;
r1 = abs(color1.red() - color2.red());
g1= abs(color1.green() - color2.green());
b1 = abs(color1.blue() - color2.blue());
rgb1 = r1 + g1 + b1;
a = rgb + rgb1;
a = a>255?255:a;
newImage.setPixel(x,y,qRgb(a,a,a));
}
}
return newImage;
}效果：
QImage MainWindow::gamma(QImage image){
double d=1.2;
QColor color;
int height = image.height();
int width = image.width();
for (int i=0;i<width;i++){
for(int j=0;j<height;j++){
color = QColor(image.pixel(i,j));
double r = color.red();
double g = color.green();
double b = color.blue();
int R = qBound(0,(int)qPow(r,d),255);
int G = qBound(0,(int)qPow(g,d),255);
int B = qBound(0,(int)qPow(b,d),255);
image.setPixel(i,j,qRgb(R,G,B));
}
}
return image;
}代码：
//亮度调节
void MainWindow::on_horizontalSlider_valueChanged(int value)
{
if(origin_path!=nullptr){ //origin_path需要换成你的图片路径
QImage image(origin_path);
int red, green, blue;
int pixels = image.width() * image.height();
unsigned int *data = (unsigned int *)image.bits();
for (int i = 0; i < pixels; ++i)
{
red= qRed(data[i])+ value;
red = (red < 0x00) ? 0x00 : (red > 0xff) ? 0xff : red;
green= qGreen(data[i]) + value;
green = (green < 0x00) ? 0x00 : (green > 0xff) ? 0xff : green;
blue= qBlue(data[i]) + value;
blue = (blue < 0x00) ? 0x00 : (blue > 0xff) ? 0xff : blue ;
data[i] = qRgba(red, green, blue, qAlpha(data[i]));
}
QImage Image=ImageCenter(image,ui->label_show);
ui->label_show->setPixmap(QPixmap::fromImage(Image));
ui->label_show->setAlignment(Qt::AlignCenter);
ui->label_light->setText(QString::number(value));
}
else{
QMessageBox::warning(nullptr, "提示", "请先选择一张图片！", QMessageBox::Yes | QMessageBox::Yes);
}
}槽函数代码：
//二值化滑动条
void MainWindow::on_horizontalSlider_erzhi_valueChanged(int value)
{
if(origin_path!=nullptr){
QImage image(origin_path);
QImage images=gray(image);
int height=images.height();
int width=images.width();
int bt;
QColor oldColor;
for (int i = 0; i < height; ++i)
{
for(int j=0;j<width;++j){
oldColor = QColor(images.pixel(j,i));
bt = oldColor.red();
if(bt<value){
bt=0;
}else{
bt=255;
}
images.setPixel(j,i, qRgb(bt, bt, bt));
}
}
QImage Image=ImageCenter(images,ui->label_show);
ui->label_show->setPixmap(QPixmap::fromImage(Image));
ui->label_show->setAlignment(Qt::AlignCenter);
ui->label_yuzhi->setText(QString::number(value));
}
else{
QMessageBox::warning(nullptr, "提示", "请先选择一张图片！", QMessageBox::Yes | QMessageBox::Yes);
}
}需要在槽函数里调用该函数。 函数代码：
//调整对比度函数调用
QImage MainWindow::AdjustContrast(QImage image, int value)
{
int pixels = image.width() * image.height();
unsigned int *data = (unsigned int *)image.bits();
int red, green, blue, nRed, nGreen, nBlue;
if (value > 0 && value < 256)
{
float param = 1 / (1 - value / 256.0) - 1;
for (int i = 0; i < pixels; ++i)
{
nRed = qRed(data[i]);
nGreen = qGreen(data[i]);
nBlue = qBlue(data[i]);
red = nRed + (nRed - 127) * param;
red = (red < 0x00) ? 0x00 : (red > 0xff) ? 0xff : red;
green = nGreen + (nGreen - 127) * param;
green = (green < 0x00) ? 0x00 : (green > 0xff) ? 0xff : green;
blue = nBlue + (nBlue - 127) * param;
blue = (blue < 0x00) ? 0x00 : (blue > 0xff) ? 0xff : blue;
data[i] = qRgba(red, green, blue, qAlpha(data[i]));
}
}
else
{
for (int i = 0; i < pixels; ++i)
{
nRed = qRed(data[i]);
nGreen = qGreen(data[i]);
nBlue = qBlue(data[i]);
red = nRed + (nRed - 127) * value / 100.0;
red = (red < 0x00) ? 0x00 : (red > 0xff) ? 0xff : red;
green = nGreen + (nGreen - 127) * value / 100.0;
green = (green < 0x00) ? 0x00 : (green > 0xff) ? 0xff : green;
blue = nBlue + (nBlue - 127) * value / 100.0;
blue = (blue < 0x00) ? 0x00 : (blue > 0xff) ? 0xff : blue;
data[i] = qRgba(red, green, blue, qAlpha(data[i]));
}
}
return image;
}代码：
//饱和度函数调用
QImage MainWindow::AdjustSaturation(QImage Img, int iSaturateValue)
{
int red, green, blue, nRed, nGreen, nBlue;
int pixels = Img.width() * Img.height();
unsigned int *data = (unsigned int *)Img.bits();
float Increment = iSaturateValue/100.0;
float delta = 0;
float minVal, maxVal;
float L, S;
float alpha;
for (int i = 0; i < pixels; ++i)
{
nRed = qRed(data[i]);
nGreen = qGreen(data[i]);
nBlue = qBlue(data[i]);
minVal = std::min(std::min(nRed, nGreen), nBlue);
maxVal = std::max(std::max(nRed, nGreen), nBlue);
delta = (maxVal - minVal) / 255.0;
L = 0.5*(maxVal + minVal) / 255.0;
S = std::max(0.5*delta / L, 0.5*delta / (1 - L));
if (Increment > 0)
{
alpha = std::max(S, 1 - Increment);
alpha = 1.0 / alpha - 1;
red = nRed + (nRed - L*255.0)*alpha;
red = (red < 0x00) ? 0x00 : (red > 0xff) ? 0xff : red;
green = nGreen + (nGreen - L*255.0)*alpha;
green = (green < 0x00) ? 0x00 : (green > 0xff) ? 0xff : green;
blue = nBlue + (nBlue - L*255.0)*alpha;
blue = (blue < 0x00) ? 0x00 : (blue > 0xff) ? 0xff : blue;
}
else
{
alpha = Increment;
red = L*255.0 + (nRed - L * 255.0)*(1+alpha);
red = (red < 0x00) ? 0x00 : (red > 0xff) ? 0xff : red;
green = L*255.0 + (nGreen - L * 255.0)*(1+alpha);
green = (green < 0x00) ? 0x00 : (green > 0xff) ? 0xff : green;
blue = L*255.0 + (nBlue - L * 255.0)*(1+alpha);
blue = (blue < 0x00) ? 0x00 : (blue > 0xff) ? 0xff : blue;
}
data[i] = qRgba(red, green, blue, qAlpha(data[i]));
}
return Img;
}通过一个复选框，选择是否需要添加水印。水印通过一张白底黑字的图片提取，将水印图片的黑色部分添加到要保存的图片中。 代码：
//保存及水印
void MainWindow::on_pushButton_save_clicked()
{
//需要有一个复选框判断是否要加水印
if(ui->checkBox->isChecked()){ //要加水印
if(ui->label_show->pixmap()!=nullptr){
QImage image2(ui->label_show->pixmap()->toImage());
QImage simage("E:/Qt/qtworks/MainWindow/images/name1.png");
int swidth = simage.width();
int sheight = simage.height();
int r,b,g;
for(int i=0; i<sheight; ++i) {
for(int j=0; j<swidth; ++j) {
QColor oldcolor2=QColor(simage.pixel(j,i));
r=oldcolor2.red();
b=oldcolor2.blue();
g=oldcolor2.green();
if(r==0&&b==0&&g==0)
{
image2.setPixelColor(j,i,qRgb(0,0,0));
}else
{
//image.setPixelColor(j,i,qRgb(red,blue,green));
}
}
}
QString filename = QFileDialog::getSaveFileName(this,
tr("保存图片"),
"E:/Qtworks/MainWindow/images/signed_images.png",
tr("*.png;; *.jpg;; *.bmp;; *.tif;; *.GIF")); //选择路径
if (filename.isEmpty())
{
return;
}
else
{
if (!(image2.save(filename))) //保存图像
{
QMessageBox::information(this,
tr("图片保存成功！"),
tr("图片保存失败！"));
return;
}
ui->statusBar->showMessage("图片保存成功！");
}
}
else{
QMessageBox::warning(nullptr, "提示", "请先打开图片！", QMessageBox::Yes | QMessageBox::Yes);
}
}
else //不加水印
{
if(ui->label_show->pixmap()!=nullptr){
QString filename = QFileDialog::getSaveFileName(this,
tr("保存图片"),
"E:/Qtworks/MainWindow/images",
tr("*.png;; *.jpg;; *.bmp;; *.tif;; *.GIF")); //选择路径
if (filename.isEmpty())
{
return;
}
else
{
if (!(ui->label_show->pixmap()->toImage().save(filename))) //保存图像
{
QMessageBox::information(this,
tr("图片保存成功！"),
tr("图片保存失败！"));
return;
}
ui->statusBar->showMessage("图片保存成功！");
}
}else{
QMessageBox::warning(nullptr, "提示", "请先打开图片！", QMessageBox::Yes | QMessageBox::Yes);
}
}
}视频中的图像处理函数使用opencv自带函数来提高效率，否则会造成卡顿。 使用多线程方式可以解决卡顿，感兴趣的朋友可以尝试一下。 视频处理的代码直接放在一起贴出来：
首先在cpp文件的构造函数中加入：
connect(&timer, SIGNAL(timeout()), this, SLOT(onTimeout()));
connect(&timer, SIGNAL(timeout()), this, SLOT(updatePosition()));
接着在头文件中添加声明：（直接贴出来头文件代码，包括了图像和视频，请对应自己的命名等做修改）
#ifndef MAINWINDOW_H
#define MAINWINDOW_H
#include <QMainWindow>
#include <QLabel>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <QTimer>
#include <QImage>
#include <QMessageBox>
using namespace cv;
namespace Ui {
class MainWindow;
}
class MainWindow : public QMainWindow
{
Q_OBJECT
public:
explicit MainWindow(QWidget *parent = 0);
~MainWindow();
QImage gray(QImage image);//灰度化
QImage gray2(QImage image);//灰度化2
QImage setRGB(QImage image,int value_r,int value_g,int value_b);//调整rgb
QImage AdjustContrast(QImage image, int value);//调整对比度
QImage ImageCenter(QImage qimage,QLabel *qLabel);//调整图片比例
QImage AdjustSaturation(QImage image, int value);//调整饱和度
QImage bianyuan(QImage image);//边缘
Mat masaike(Mat image);//马赛克
QStringList srcDirPathList;//图片list
int index =0;//图片index
int type=0;//视频操作类型
QImage MatToQImage(const cv::Mat& mat);
QString stom(int s);
QImage junzhi(QImage image);
QImage fuhe(QImage images);
QImage gamma(QImage image);
private slots:
void on_action_Dock_triggered();
void on_action_Open_triggered();
void on_pushButton_clicked();
void onTimeout(); //需要手动添加
void updatePosition(); //需要手动添加，其余是转到槽时自动生成
void on_action_Save_triggered();
void on_pushButton_gray_clicked();
void on_pushButton_junzhi_clicked();
void on_action_L_triggered();
void on_horizontalSlider_valueChanged(int value);
void on_pushButton_junzhi_2_clicked();
void on_pushButton_junzhi_3_clicked();
void on_horizontalSlider_2_valueChanged(int value);
void on_pushButton_save_clicked();
void on_horizontalSlider_R_valueChanged(int value);
void on_pushButton_3_clicked();
void on_pushButton_4_clicked();
void on_pushButton_origin_clicked();
void on_horizontalSlider_G_valueChanged(int value);
void on_horizontalSlider_B_valueChanged(int value);
void on_pushButton_gamma_clicked();
void on_horizontalSlider_erzhi_valueChanged(int value);
void on_horizontalSlider_duibi_valueChanged(int value);
void on_horizontalSlider_baohe_valueChanged(int value);
void on_action_V_triggered();
void on_pushButton_6_clicked();
void on_pushButton_7_clicked();
void on_pushButton_8_clicked();
void on_VideohorizontalSlider_2_valueChanged(int value);
void on_pushButton_9_clicked();
void on_pushButton_10_clicked();
void on_pushButton_11_clicked();
void on_horizontalSlider_suofang_valueChanged(int value);
void on_pushButton_2_clicked();
void on_action_H_triggered();
void on_action_J_triggered();
void on_action_B_triggered();
void on_action_G_triggered();
void on_action_Y_triggered();
void on_action_About_triggered();
void on_pushButton_turnleft_clicked();
void on_pushButton_turnright_clicked();
void on_pushButton_turnleft_2_clicked();
void on_pushButton_turnleft_3_clicked();
void on_pushButton_5_clicked();
private:
Ui::MainWindow *ui;
bool language=true;
bool isstart=false;
QString origin_path;//目前处理的图片的原图
QString videoSrcDir;//视频路径
VideoCapture capture; //用来读取视频结构
QTimer timer;//视频播放的定时器
int beishu;//调节播放速率
int delay;//帧延迟时间
QMessageBox customMsgBox;//消息提示框
};
#endif // MAINWINDOW_H以下代码写在cpp文件中
//打开视频
void MainWindow::on_action_V_triggered()
{
QString video_path = QFileDialog::getOpenFileName(this,tr("选择视频"),"E:/Qt/qtworks/MainWindow/images",tr("Video (*.WMV *.mp4 *.rmvb *.flv)"));
if(video_path!=nullptr){
//打开视频文件：其实就是建立一个VideoCapture结构
capture.open(video_path.toStdString());
//检测是否正常打开:成功打开时，isOpened返回ture
if (!capture.isOpened())
QMessageBox::warning(nullptr, "提示", "打开视频失败！", QMessageBox::Yes | QMessageBox::Yes);
//ui->textEdit->append("fail to open!");
ui->tabWidget->setCurrentIndex(1);
ui->pushButton_6->setEnabled(true);
//获取整个帧数
long totalFrameNumber = capture.get(CAP_PROP_FRAME_COUNT);
//设置开始帧()
long frameToStart = 0;
capture.set(CAP_PROP_POS_FRAMES, frameToStart);
//获取帧率
double rate = capture.get(CAP_PROP_FPS);
delay = 1000 / rate;
timer.start(delay);
type=0;
//timer.start();
isstart=!isstart;
ui->pushButton_6->setStyleSheet("border-radius:32px;"
"background-image: url(:/myImage/images/stop.png);border:none;") ;
}
}
//进度条随视频移动
void MainWindow::updatePosition(){
long totalFrameNumber = capture.get(CAP_PROP_FRAME_COUNT);
ui->VideohorizontalSlider_2->setMaximum(totalFrameNumber);
long frame=capture.get(CAP_PROP_POS_FRAMES );
ui->VideohorizontalSlider_2->setValue(frame);
}
//进度条拖动
void MainWindow::on_VideohorizontalSlider_2_valueChanged(int value)
{
capture.set(CAP_PROP_POS_FRAMES, value);
}
//秒转分函数
QString MainWindow::stom(int s){
QString m;
if(s/60==0){
m=QString::number (s%60);
}else{
m=QString::number (s/60)+":"+QString::number (s%60);
}
return m;
}
//timer触发函数
void MainWindow::onTimeout()
{
Mat frame;
//读取下一帧
double rate = capture.get(CAP_PROP_FPS);
double nowframe=capture.get(CAP_PROP_POS_FRAMES );
int nows=nowframe/rate;
cout<<"nows:"<<nows<<endl;
long totalFrameNumber = capture.get(CAP_PROP_FRAME_COUNT);
int totals=totalFrameNumber/rate;
cout<<"totals:"<<totals<<endl;
ui->label_12->setText(stom(nows)+"/"+stom(totals));
if (!capture.read(frame))
{
//ui->textEdit->append(QString::fromLocal8Bit("fail to load video"));
return;
}
if(type==1){
//image=gray2(image);
cvtColor(frame,frame,CV_BGR2GRAY);
}
else if(type==2){
cvtColor(frame, frame, CV_BGR2GRAY);
//高斯滤波
GaussianBlur(frame, frame, Size(3, 3),
0, 0, BORDER_DEFAULT);
//Canny检测
int edgeThresh =100;
Mat Canny_result;
Canny(frame, frame, edgeThresh, edgeThresh * 3, 3);
}else if(type==3)
{
//Smooth(frame, frame,Size(3, 3), 0, 0);
GaussianBlur(frame, frame, Size(3, 3), 0, 0);
}
else if(type==4){
cvtColor(frame,frame,CV_BGR2GRAY);
threshold(frame, frame, 96, 255, THRESH_BINARY);
}else if (type==5) {
frame=masaike(frame);
}
QImage image=MatToQImage(frame);
//ui->label_11->setScaledContents(true);
double scale=ui->horizontalSlider_suofang->value()/100.0;
QSize qs = ui->label_11->rect().size()*scale;
ui->label_11->setPixmap(QPixmap::fromImage(image).scaled(qs));
ui->label_11->setAlignment(Qt::AlignCenter);
ui->label_11->repaint();
//这里加滤波程序
//long totalFrameNumber = capture.get(CAP_PROP_POS_FRAMES);
// ui->textEdit->append(QString::fromLocal8Bit("正在读取第：第 %1 帧").arg(totalFrameNumber));
}
//Mat转图像
QImage MainWindow::MatToQImage(const cv::Mat& mat)
{
// 8-bits unsigned, NO. OF CHANNELS = 1
if (mat.type() == CV_8UC1)
{
QImage image(mat.cols, mat.rows, QImage::Format_Indexed8);
// Set the color table (used to translate colour indexes to qRgb values)
image.setColorCount(256);
for (int i = 0; i < 256; i++)
{
image.setColor(i, qRgb(i, i, i));
}
// Copy input Mat
uchar *pSrc = mat.data;
for (int row = 0; row < mat.rows; row++)
{
uchar *pDest = image.scanLine(row);
memcpy(pDest, pSrc, mat.cols);
pSrc += mat.step;
}
return image;
}
// 8-bits unsigned, NO. OF CHANNELS = 3
else if (mat.type() == CV_8UC3)
{
// Copy input Mat
const uchar *pSrc = (const uchar*)mat.data;
// Create QImage with same dimensions as input Mat
QImage image(pSrc, mat.cols, mat.rows, mat.step, QImage::Format_RGB888);
return image.rgbSwapped();
}
else if (mat.type() == CV_8UC4)
{
// Copy input Mat
const uchar *pSrc = (const uchar*)mat.data;
// Create QImage with same dimensions as input Mat
QImage image(pSrc, mat.cols, mat.rows, mat.step, QImage::Format_ARGB32);
return image.copy();
}
else
{
return QImage();
}
}
//暂停/播放
void MainWindow::on_pushButton_6_clicked()
{
if(isstart)
{
timer.stop();
isstart=false;
ui->pushButton_6->setStyleSheet("border-radius:32px;"
"background-image: url(:/myImage/images/start.png);border:none;") ;
}else {
timer.start(delay);
isstart=true;
ui->pushButton_6->setStyleSheet("border-radius:32px;"
"background-image: url(:/myImage/images/stop.png);border:none;") ;
}
}
//灰度
void MainWindow::on_pushButton_7_clicked()
{
type=1;
}
void MainWindow::on_pushButton_8_clicked()
{
type=0;
}
//均值滤波
void MainWindow::on_pushButton_9_clicked()
{
type=2;
}
//平滑
void MainWindow::on_pushButton_10_clicked()
{
type=3;
}
//二值化
void MainWindow::on_pushButton_11_clicked()
{
type=4;
}
//局部马赛克
void MainWindow::on_pushButton_2_clicked()
{
type=5;
}
//缩放
void MainWindow::on_horizontalSlider_suofang_valueChanged(int value)
{
ui->label_suofangvalue->setText(QString::number(value/100.0));
cout<<value<<endl;
}
//局部马赛克函数调用
Mat MainWindow::masaike(Mat src){
int width = src.rows; //图片的长度
int height = src.cols; //图片的宽度
//10*10的像素点进行填充
int arr = 10;
//i和j代表了矩形区域的左上角的像素坐标
for (int i = width/2.5; i < width/1.5; i+=arr) {
for (int j = height/2.5; j < height/1.5; j+=arr) {
//对矩形区域内的每一个像素值进行遍历
for (int k = i; k < arr + i && k < width; k++) {
for (int m = j; m < arr + j && m < height; m++) {
//在这里进行颜色的修改
src.at<Vec3b>(k, m)[0] = src.at<Vec3b>(i, j)[0];
src.at<Vec3b>(k, m)[1] = src.at<Vec3b>(i, j)[1];
src.at<Vec3b>(k, m)[2] = src.at<Vec3b>(i, j)[2];
}
}
}
}
return src;
}
文章写得也比较仓促，代码较多，无法将一步步详细过程贴出来，只能将核心功能的函数以及界面贴出来，其他包括翻译、界面美化等功能也省略，如果需要完整源码的请自行下载。
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图像处理是不涉及OpenCV的，如果仅需要图像处理功能则无需配置OpenCV，视频处理需要用到OpenCV的函数，推荐参考这篇文章：win10系统Qt5.12配置OpenCV4.0.1库教程暨Qt，OpenCV，Cmake详细下载安装教程（史上最全！）
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如果遇到转到槽失败错误，可以参考这篇文章：Qt Creator添加/查找槽错误。我自己写代码的时候经常莫名其妙出现这个错误，有时候文章里的方法可行，有时候又不行，有时候重启QT又好了，就很玄学= =
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如果有一些找不到函数的错误，可能是函数名与我不一样或是界面ui名称和我不一样，这个需要自己注意一下哦