AI application lesson 1: C language Alipay face brushing login

1. Project application scenario

VIP Student Kobayashi's first project ：

Alipay brushes its face to pay ：

 

1. Project presentations

Demonstrate qiniu payment and login .

Environment building

Get the development template directly , Direct development . After class , Then follow the following steps to build your own .

1. Configure face recognition SDK development environment

Be careful , Before configuring the environment , The first VS The platform of is adjusted to 64 Bit system （ You can also use 32 position , But face recognition SDK Also change the position 32 A version of the ）

Add ：

Business development , Face recognition related projects , Never develop your own face recognition

You should choose the right face recognition SDK

Choose face recognition SDK: Baidu , tencent , Ali , arcsoft

All businesses SDK, There are two versions ：（ R & D version 【 Free of charge 】, Distribution version 【 paid 】）

such as ： UE4

Download hongruan SDK（64 position ）

Configure the header file directory and library file directory

Under the project directory , establish face Catalog , Then face recognition SDK Copy the header file and library file of to the project directory face Under the table of contents

The header file

 

The library files

 

To configure SDK The header directory of

To configure SDK Library file directory

Configure additional dependencies

libarcsoft_face_engine.lib

Copy DLL Library file to executable directory

Import Rock Customized interface file

1. To configure opencv development environment

opencv It's image processing , The most widely used free open source framework

Someone has developed , Use opencv Cooperate with the system of laser shelling mosquitoes （ Seconds become military , Beheading action ）

opencv Use C/C++ Development （ Among them is 500 Three common interfaces are used C Language , Other uses C++）, Cross platform

Qt It is a cross platform application framework

opencv It is a cross platform image processing framework

Qt + opencv

install opencv

The header file contains the directory ：

D:\opencv\build\include

D:\opencv\build\include\opencv

D:\opencv\build\include\opencv2

The library file contains directories ：

D:\opencv\build\x64\vc12\lib

Library used （ Additional dependencies ）

( The following are the most commonly used library files , There are many other library files ）

opencv_core249d.lib

opencv_highgui249d.lib

opencv_imgproc249d.lib

Dynamic library
opencv_core249d.dll

opencv_highgui249d.dll

opencv_imgproc249d.dll

1. Import the 3 Square class

CVvImage

Add ： The most common interview questions for high paying employment :

What third-party frameworks have you used ？ Which third-party classes have been used 、 file 、 library 、 Tools ？

such as ： Network development ,libevent Qt Table image processing in development ：xxx

Import Rock Private tool library

1. Project implementation

1. Design system interface

It starts with beauty , Novice development , Start with the software interface .

IT Develop common sense

Interface design , It's up to art the final say ！ The design of art works is up to the product manager to decide , Product manager's decision , It's up to Party A's father to decide ！

Artistic drawing ：（ At the same time, provide materials ）

Programmer implementation ：

A picture control , Two button controls .

One minute .

Drag and drop controls

 

A picture control ,2 A button control

The interface at this time , Ugly appearance , Love cannot , Unusable ！

Interface modification

Put the material pictures of the welcome interface , Load into project resources .

1. Copy the material pictures to the project directory res subdirectories
2. Add pictures to project resources
3. Configure picture controls

4.     type , Change it to ：Bitmap

       Images , Set to ：IDB_BITMAP1

5. Adjust the layout of the interface

6.     problem ： The interface cannot be adjusted ！

       skill ： Because the picture of the picture control is too big , The dialog window cannot be operated

             Put the type of picture control , Set it to frame, Then drag and drop the window to a larger , Then switch the type of picture back to Bitmap

             Finally, narrow the window to a proper extent .

7. Modify the text of the button

8.     Set as “ register ”、“ Sign in ”

   Design effect ：

9. 

HBITMAP pic = (HBITMAP)LoadImage(NULL, L"mm1.bmp", IMAGE_BITMAP, 0, 0, LR_LOADFROMFILE); m_img.SetBitmap(pic);

HBITMAP pic = (HBITMAP)LoadImage(NULL, L"mm2.bmp", IMAGE_BITMAP, 0, 0, LR_LOADFROMFILE); m_img.SetBitmap(pic);

The test results .

1. Using the camera

Use face brush certification , You must use a camera .

principle ：

Use timer , Capture the image data of the camera regularly , Put the captured image frame , Display to the picture control .

1. Add tool library

tools.h  tools.cpp  CvvImage.h  CvvImage.cpp

（tools.h 、tools.cpp yes Rock Written , Functions specially used for camera processing , It can be used as your own private tool ）

Copy these two files to the project directory , And add to the project .

1. Timed camera variables

#include <opencv2/opencv.hpp> using namespace cv; // Define a camera variable VideoCapture cap;

In the event handler of the register button , Turn on the camera , And create timers

// 1. Turn on the camera cap.open(0); // Turn on the default camera // 2. Create timer SetTimer( 1,      // The number of the timer 100,// every other 100ms Remind once NULL);  // When it's time , Which function to perform ,NULL It means to execute the default timing processing function

1. Create a scheduled message for the dialog

   First select the dialog , Then in the properties window of the dialog box “ news ” tab , add to “VM_TIMER” news

1. In the timing handler , Realize timing capture

#include "tools.h" void COpenCVTmpDlg::OnTimer(UINT_PTR nIDEvent) { // TODO: Add message handler code and / Or call the default value if (nIDEvent == 1) { // Turn the camera on cap Captured image frames , Put it in the current window m_hWnd Of IDC_STATIC_IMG Control refreshCamera(&cap, m_hWnd, IDC_STATIC_IMG); } CDialogEx::OnTimer(nIDEvent); }

1. Implement registration

Method ： Use the camera to countdown and take photos , Then save the photo .

#include <mmsystem.h> #pragma comment(lib, "winmm.lib") void COpenCVTmpDlg::OnTimer(UINT_PTR nIDEvent) { // TODO: Add message handler code and / Or call the default value static int count1 = 0; if (nIDEvent == 1) { // Turn the camera on cap Captured image frames , Put it in the current window m_hWnd Of IDC_STATIC_IMG Control refreshCamera(&cap, m_hWnd, IDC_STATIC_IMG); count1++; if (count1 == 1) { mciSendString(_T("play res/zhuche.mp3"), 0, 0, 0); // Play 3 Second countdown function } else if (count1 == 30) { paiZhao(&cap, "Rock.jpg"); count1 = 0; KillTimer(1); // off timer cap.release(); // Turn off camera MessageBox(_T(" Registered successfully ！")); // Switch the screen to the first welcome screen HBITMAP hbitmap = (HBITMAP)LoadImage(NULL, "res/start.bmp", IMAGE_BITMAP, 0, 0, LR_LOADFROMFILE); m_img.SetBitmap(hbitmap); } } CDialogEx::OnTimer(nIDEvent); }

1. Face recognition

Face recognition analysis ：

Direct pixel contrast is not appropriate , You can't use the way of continuous viewing .

Solution ：

Use face recognition SDK

1. face scan

    Similar to login .

  

void COpenCVTmpDlg::OnBnClickedButtonLogin() { // TODO: Add control notification handler code here //HBITMAP pic = (HBITMAP)LoadImage(NULL, "mm2.bmp", IMAGE_BITMAP, 0, 0, LR_LOADFROMFILE); //m_img.SetBitmap(pic); cap.open(0); SetTimer(2, 100, NULL); } void COpenCVTmpDlg::OnTimer(UINT_PTR nIDEvent) { // TODO: Add message handler code and / Or call the default value static int count1 = 0; if (nIDEvent == 1) { ...... } else if (nIDEvent == 2) { refreshCamera(&cap, m_hWnd, IDC_STATIC_IMG); } CDialogEx::OnTimer(nIDEvent); }

 

1. Define face recognition interface

1. Import face recognition tool library faceTool.h  faceTool.cpp To project .

1. Add header file

#include "faceTool.h"

1. Define face recognition module variables

// Module variables of face recognition MHandle handle;

1. Initialize module variables

In the initialization function of the dialog window , add to ：faceInit(&handle);

1. Define the interface of face recognition faceCheck

BOOL faceCheck(const char* name1, const char* name2) { // Read two photos // Data types are case sensitive ！ IplImage* img1 = cvLoadImage(name1); IplImage* img2 = cvLoadImage(name2); if (!img1 || !img2) { return false; //FALSE } float ret = faceCompare(handle, img1, img2); // return ret >= 0.95 if (ret < 0.95) { return false; } else { return true;

1. Realize face recognition login

Method ：

The first 1 At the end of seconds , Take pictures automatically 、 And face recognition ,

The first 2 At the end of seconds , Refresh the interface according to the recognition result of the last second

Code implementation

void COpenCVTmpDlg::OnTimer(UINT_PTR nIDEvent) { // TODO: Add message handler code and / Or call the default value static int count1 = 0; static int count2 = 0; static bool success = false; // Indicates whether the recognition result is successful if (nIDEvent == 1) {     ...... } else if (nIDEvent == 2) { refreshCamera(&cap, m_hWnd, IDC_STATIC_IMG); count2++; if (count2 == 10) { paiZhao(&cap, "Rock2.jpg");  // Taking pictures // Face recognition if (faceCheck("Rock.jpg", "Rock2.jpg")) { success = true; // Play a successful login sound , continued 1S mciSendString("play res/login.mp3", 0, 0, 0); } } else if (count2 == 20) { count2 = 0; KillTimer(2); cap.release(); const char* fileName = success ? "res/bgInit.bmp" : "res/bgError.bmp"; HBITMAP hbitmap = (HBITMAP)LoadImage(NULL, fileName, IMAGE_BITMAP, 0, 0, LR_LOADFROMFILE); m_img.SetBitmap(hbitmap); success = false; } } CDialogEx::OnTimer(nIDEvent); }

1. The project is perfect

1. In vivo detection

Open your mouth , Shake your head to the left , Shake your head to the right , Nod your head , Blink, blink （ Financial related ！）

1. Multi user account login

Using a database

VIP Course No 3 volume

Employed students are in research and development ,90% The above needs to use database .

1. Cross platform

Use Qt Migrate to other mobile platforms

VIP Course No 5 volume , Guarantee of fast and high salary employment .

1. Project summary

1. Project development is , Get started with requirements , The process of gradual improvement .
2. The technocrats , It all starts from zero basis , Gradual upgrade , The process of becoming stronger

1. Xiao Xiang - Sophomores began to be confused , At the beginning of study , It's enough just to get a job , Later, I joined Baidu server development , Annual salary 30W
2. Marin, 32 I started to study at the age of , At first, I just wanted to change careers quickly ,6 I'll be in after three months C++ Audio and video server development , a monthly salary 15K,4 After a month , a monthly salary 18K
3. Jia Jia , Junior internship , Just don't practice in the factory designated by the school , Now I'm on the job C++ It's been developing for more than a year

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