delphi xe PAnsiChar Char
时间: 2023-09-13 13:11:52 浏览: 87
在Delphi XE及其后续版本中,PAnsiChar是一个指向Ansi字符的指针类型,而Char类型则根据编译器选项的不同可能会被定义为一个占用1个字节或2个字节的字符类型。如果Char类型被定义为占用1个字节的字符类型,则PAnsiChar和Char可以用于处理和操作Ansi字符串;如果Char类型被定义为占用2个字节的字符类型,则PAnsiChar和Char可以用于处理和操作Unicode字符串。在使用PAnsiChar和Char类型时,需要注意字符编码的兼容性问题,以确保正确地处理和操作字符串数据。
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delphi xe opencv 人脸识别代码
以下是基于 Delphi XE 和 OpenCV 的简单人脸识别代码:
```delphi
unit Unit1;
interface
uses
Winapi.Windows, Winapi.Messages, System.SysUtils, System.Variants, System.Classes, Vcl.Graphics,
Vcl.Controls, Vcl.Forms, Vcl.Dialogs, Vcl.ExtCtrls, Vcl.StdCtrls, Vcl.Imaging.jpeg,
OpenCV.Core, OpenCV.ImgProc, OpenCV.HighGUI, OpenCV.ObjDetect, OpenCV.Video;
type
TForm1 = class(TForm)
Image1: TImage;
Timer1: TTimer;
procedure FormCreate(Sender: TObject);
procedure Timer1Timer(Sender: TObject);
private
{ Private declarations }
cascade: pCvHaarClassifierCascade;
public
{ Public declarations }
end;
var
Form1: TForm1;
implementation
{$R *.dfm}
procedure TForm1.FormCreate(Sender: TObject);
var
filename: string;
begin
// 加载人脸识别级联分类器
filename := 'haarcascade_frontalface_alt.xml';
cascade := cvLoadHaarClassifierCascade(PAnsiChar(AnsiString(filename)), cvSize(0, 0));
// 启动定时器
Timer1.Enabled := True;
end;
procedure TForm1.Timer1Timer(Sender: TObject);
var
capture: pCvCapture;
frame: pIplImage;
gray: pIplImage;
storage: pCvMemStorage;
faces: pCvSeq;
i: Integer;
rect: TCvRect;
image: TBitmap;
begin
// 打开摄像头
capture := cvCreateCameraCapture(0);
try
// 获取一帧图像
frame := cvQueryFrame(capture);
if Assigned(frame) then
begin
// 转换为灰度图像
gray := cvCreateImage(cvGetSize(frame), IPL_DEPTH_8U, 1);
try
cvCvtColor(frame, gray, CV_BGR2GRAY);
// 进行人脸识别
storage := cvCreateMemStorage(0);
try
faces := cvHaarDetectObjects(gray, cascade, storage, 1.2, 2, CV_HAAR_DO_CANNY_PRUNING, cvSize(50, 50));
try
// 在图像中绘制人脸矩形
image := TBitmap.Create;
try
image.Width := frame.width;
image.Height := frame.height;
cvCvtColor(frame, gray, CV_BGR2RGB);
image.Canvas.Draw(0, 0, image);
for i := 0 to faces.total - 1 do
begin
rect := pCvRect(cvGetSeqElem(faces, i))^;
image.Canvas.Brush.Style := bsClear;
image.Canvas.Pen.Color := clRed;
image.Canvas.Pen.Width := 2;
image.Canvas.Rectangle(rect.x, rect.y, rect.x + rect.width, rect.y + rect.height);
end;
Image1.Picture.Bitmap.Assign(image);
finally
image.Free;
end;
finally
cvClearSeq(faces);
end;
finally
cvReleaseMemStorage(@storage);
end;
finally
cvReleaseImage(@gray);
end;
end;
finally
cvReleaseCapture(@capture);
end;
end;
end.
```
这个代码使用 Delphi XE 和 OpenCV,通过摄像头实时获取图像,进行人脸识别,并在图像中绘制人脸矩形。请注意,需要将 `haarcascade_frontalface_alt.xml` 文件放在同一目录下。
delphixe opencv 人脸识别代码
以下是一个简单的DelphiXE中使用OpenCV进行人脸识别的示例代码:
```delphi
unit Unit1;
interface
uses
Winapi.Windows, Winapi.Messages, System.SysUtils, System.Variants,
System.Classes, Vcl.Graphics,
Vcl.Controls, Vcl.Forms, Vcl.Dialogs, Vcl.StdCtrls, Vcl.ExtCtrls,
Vcl.Imaging.jpeg, Vcl.Imaging.pngimage,
cv_types, cv_highgui, cv_objdetect;
type
TForm1 = class(TForm)
Image1: TImage;
Button1: TButton;
OpenDialog1: TOpenDialog;
procedure Button1Click(Sender: TObject);
private
{ Private declarations }
public
{ Public declarations }
end;
var
Form1: TForm1;
implementation
{$R *.dfm}
procedure TForm1.Button1Click(Sender: TObject);
const
haarcascadeFile = 'haarcascade_frontalface_default.xml';
var
face: IplImage;
storage: pCvMemStorage;
cascade: pCvHaarClassifierCascade;
i: Integer;
s: string;
begin
if OpenDialog1.Execute then
begin
// 加载人脸检测分类器
cascade := cvLoadHaarClassifierCascade(haarcascadeFile, cvSize(0, 0));
if cascade = nil then
begin
ShowMessage('无法加载人脸检测分类器');
Exit;
end;
// 加载图像
face := cvLoadImage(PAnsiChar(AnsiString(OpenDialog1.FileName)),
CV_LOAD_IMAGE_COLOR);
if face = nil then
begin
ShowMessage('无法加载图像');
Exit;
end;
// 创建存储器
storage := cvCreateMemStorage(0);
// 识别人脸
cvClearMemStorage(storage);
cvEqualizeHist(face, face);
cascade := cvLoadHaarClassifierCascade(haarcascadeFile, cvSize(0, 0));
CvSeq := cvHaarDetectObjects(face, cascade, storage, 1.2, 2,
CV_HAAR_DO_CANNY_PRUNING, cvSize(30, 30), cvSize(0, 0));
for i := 0 to CvSeq.total - 1 do
begin
// 在图像中框出人脸
s := '人脸 ' + IntToStr(i + 1);
cvRectangle(face, cvPoint(CvRect(CvRect(CvSeq^.rect)[i]).x,
CvRect(CvRect(CvSeq^.rect)[i]).y),
cvPoint(CvRect(CvRect(CvSeq^.rect)[i]).x + CvRect(CvRect(CvSeq^.rect)
[i]).width, CvRect(CvRect(CvSeq^.rect)[i]).y + CvRect(CvRect(CvSeq^.rect)
[i]).height), CV_RGB(0, 255, 0), 3, 8, 0);
end;
// 显示图像
Image1.Picture.Bitmap.Assign(IplImageToBitmap(face));
// 释放资源
cvReleaseHaarClassifierCascade(cascade);
cvReleaseImage(face);
cvClearMemStorage(storage);
cvReleaseMemStorage(@storage);
end;
end;
end.
```
注意:代码中的`haarcascade_frontalface_default.xml`是OpenCV库中自带的人脸检测分类器文件,需要放置在与程序同一目录下。如果需要使用其他的分类器文件,可以将其拷贝到程序目录下并修改代码中的文件名。
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