C# 是否正在创建另一个表单问题的表单对象？
当我尝试创建另一个窗体的窗体对象时，收到以下错误消息。 任何人都可以帮助我，这个错误的解决方案是什么 需要创建为对象的C# 是否正在创建另一个表单问题的表单对象？,c#,C#,当我尝试创建另一个窗体的窗体对象时，收到以下错误消息。 任何人都可以帮助我，这个错误的解决方案是什么 需要创建为对象的培训表单是： using System; using System.Collections.Generic; using System.ComponentModel; using System.Data; using System.Drawing; using System.Linq; using System.Text; using System.Windows.Forms;
培训表单是：
using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Drawing;
using System.Linq;
using System.Text;
using System.Windows.Forms;
using Emgu.CV.UI;
using Emgu.CV;
using Emgu.CV.Structure;
using Emgu.CV.CvEnum;
using System.IO;
using System.Drawing.Imaging;
using System.Xml;
using System.Threading;
namespace Face_Recognition
{
public partial class Training_Form : Form
{
#region Variables
//Camera specific
Capture grabber;
//Images for finding face
Image<Bgr, Byte> currentFrame;
Image<Gray, byte> result = null;
Image<Gray, byte> gray_frame = null;
//Classifier
CascadeClassifier Face;
//For aquiring 10 images in a row
List<Image<Gray, byte>> resultImages = new List<Image<Gray, byte>>();
int results_list_pos = 0;
int num_faces_to_aquire = 10;
bool RECORD = false;
//Saving Jpg
List<Image<Gray, byte>> ImagestoWrite = new List<Image<Gray, byte>>();
EncoderParameters ENC_Parameters = new EncoderParameters(1);
EncoderParameter ENC = new EncoderParameter(System.Drawing.Imaging.Encoder.Quality, 100);
ImageCodecInfo Image_Encoder_JPG;
//Saving XAML Data file
List<string> NamestoWrite = new List<string>();
List<string> NamesforFile = new List<string>();
XmlDocument docu = new XmlDocument();
//Variables
Form1 Parent;
#endregion
public Training_Form(Form1 _Parent)
{
InitializeComponent();
Parent = _Parent;
Face = Parent.Face;
//Face = new HaarCascade(Application.StartupPath + "/Cascades/haarcascade_frontalface_alt2.xml");
ENC_Parameters.Param[0] = ENC;
Image_Encoder_JPG = GetEncoder(ImageFormat.Jpeg);
initialise_capture();
}
private void Training_Form_FormClosing(object sender, FormClosingEventArgs e)
{
stop_capture();
Parent.retrain();
Parent.initialise_capture();
}
//Camera Start Stop
public void initialise_capture()
{
grabber = new Capture();
grabber.QueryFrame();
//Initialize the FrameGraber event
Application.Idle += new EventHandler(FrameGrabber);
}
private void stop_capture()
{
Application.Idle -= new EventHandler(FrameGrabber);
if (grabber != null)
{
grabber.Dispose();
}
//Initialize the FrameGraber event
}
//Process Frame
void FrameGrabber(object sender, EventArgs e)
{
//Get the current frame form capture device
currentFrame = grabber.QueryFrame().Resize(320, 240, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);
//Convert it to Grayscale
if (currentFrame != null)
{
gray_frame = currentFrame.Convert<Gray, Byte>();
//Face Detector
//MCvAvgComp[][] facesDetected = gray_frame.DetectHaarCascade(Face, 1.2, 10, Emgu.CV.CvEnum.HAAR_DETECTION_TYPE.DO_CANNY_PRUNING, new Size(20, 20)); //old method
Rectangle[] facesDetected = Face.DetectMultiScale(gray_frame, 1.2, 10, new Size(50, 50), Size.Empty);
//Action for each element detected
for(int i = 0; i< facesDetected.Length; i++)// (Rectangle face_found in facesDetected)
{
//This will focus in on the face from the haar results its not perfect but it will remove a majoriy
//of the background noise
facesDetected[i].X += (int)(facesDetected[i].Height * 0.15);
facesDetected[i].Y += (int)(facesDetected[i].Width * 0.22);
facesDetected[i].Height -= (int)(facesDetected[i].Height * 0.3);
facesDetected[i].Width -= (int)(facesDetected[i].Width * 0.35);
result = currentFrame.Copy(facesDetected[i]).Convert<Gray, byte>().Resize(100, 100, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);
result._EqualizeHist();
face_PICBX.Image = result.ToBitmap();
//draw the face detected in the 0th (gray) channel with blue color
currentFrame.Draw(facesDetected[i], new Bgr(Color.Red), 2);
}
if (RECORD && facesDetected.Length > 0 && resultImages.Count < num_faces_to_aquire)
{
resultImages.Add(result);
count_lbl.Text = "Count: " + resultImages.Count.ToString();
if (resultImages.Count == num_faces_to_aquire)
{
ADD_BTN.Enabled = true;
NEXT_BTN.Visible = true;
PREV_btn.Visible = true;
count_lbl.Visible = false;
Single_btn.Visible = true;
ADD_ALL.Visible = true;
RECORD = false;
Application.Idle -= new EventHandler(FrameGrabber);
}
}
image_PICBX.Image = currentFrame.ToBitmap();
}
}
//Saving The Data
private bool save_training_data(Image face_data)
{
try
{
Random rand = new Random();
bool file_create = true;
string facename = "face_" + NAME_PERSON.Text + "_" + rand.Next().ToString() + ".jpg";
while (file_create)
{
if (!File.Exists(Application.StartupPath + "/TrainedFaces/" + facename))
{
file_create = false;
}
else
{
facename = "face_" + NAME_PERSON.Text + "_" + rand.Next().ToString() + ".jpg";
}
}
if(Directory.Exists(Application.StartupPath + "/TrainedFaces/"))
{
face_data.Save(Application.StartupPath + "/TrainedFaces/" + facename, ImageFormat.Jpeg);
}
else
{
Directory.CreateDirectory(Application.StartupPath + "/TrainedFaces/");
face_data.Save(Application.StartupPath + "/TrainedFaces/" + facename, ImageFormat.Jpeg);
}
if (File.Exists(Application.StartupPath + "/TrainedFaces/TrainedLabels.xml"))
{
//File.AppendAllText(Application.StartupPath + "/TrainedFaces/TrainedLabels.txt", NAME_PERSON.Text + "\n\r");
bool loading = true;
while (loading)
{
try
{
docu.Load(Application.StartupPath + "/TrainedFaces/TrainedLabels.xml");
loading = false;
}
catch
{
docu = null;
docu = new XmlDocument();
Thread.Sleep(10);
}
}
//Get the root element
XmlElement root = docu.DocumentElement;
XmlElement face_D = docu.CreateElement("FACE");
XmlElement name_D = docu.CreateElement("NAME");
XmlElement file_D = docu.CreateElement("FILE");
//Add the values for each nodes
//name.Value = textBoxName.Text;
//age.InnerText = textBoxAge.Text;
//gender.InnerText = textBoxGender.Text;
name_D.InnerText = NAME_PERSON.Text;
file_D.InnerText = facename;
//Construct the Person element
//person.Attributes.Append(name);
face_D.AppendChild(name_D);
face_D.AppendChild(file_D);
//Add the New person element to the end of the root element
root.AppendChild(face_D);
//Save the document
docu.Save(Application.StartupPath + "/TrainedFaces/TrainedLabels.xml");
//XmlElement child_element = docu.CreateElement("FACE");
//docu.AppendChild(child_element);
//docu.Save("TrainedLabels.xml");
}
else
{
FileStream FS_Face = File.OpenWrite(Application.StartupPath + "/TrainedFaces/TrainedLabels.xml");
using (XmlWriter writer = XmlWriter.Create(FS_Face))
{
writer.WriteStartDocument();
writer.WriteStartElement("Faces_For_Training");
writer.WriteStartElement("FACE");
writer.WriteElementString("NAME", NAME_PERSON.Text);
writer.WriteElementString("FILE", facename);
writer.WriteEndElement();
writer.WriteEndElement();
writer.WriteEndDocument();
}
FS_Face.Close();
}
return true;
}
catch (Exception ex)
{
return false;
}
}
private ImageCodecInfo GetEncoder(ImageFormat format)
{
ImageCodecInfo[] codecs = ImageCodecInfo.GetImageDecoders();
foreach (ImageCodecInfo codec in codecs)
{
if (codec.FormatID == format.Guid)
{
return codec;
}
}
return null;
}
//Delete all the old training data by simply deleting the folder
private void Delete_Data_BTN_Click(object sender, EventArgs e)
{
if (Directory.Exists(Application.StartupPath + "/TrainedFaces/"))
{
Directory.Delete(Application.StartupPath + "/TrainedFaces/", true);
Directory.CreateDirectory(Application.StartupPath + "/TrainedFaces/");
}
}
//Add the image to training data
private void ADD_BTN_Click(object sender, EventArgs e)
{
if (resultImages.Count == num_faces_to_aquire)
{
if (!save_training_data(face_PICBX.Image)) MessageBox.Show("Error", "Error in saving file info. Training data not saved", MessageBoxButtons.OK, MessageBoxIcon.Error);
}
else
{
stop_capture();
if (!save_training_data(face_PICBX.Image)) MessageBox.Show("Error", "Error in saving file info. Training data not saved", MessageBoxButtons.OK, MessageBoxIcon.Error);
initialise_capture();
}
}
private void Single_btn_Click(object sender, EventArgs e)
{
RECORD = false;
resultImages.Clear();
NEXT_BTN.Visible = false;
PREV_btn.Visible = false;
Application.Idle += new EventHandler(FrameGrabber);
Single_btn.Visible = false;
count_lbl.Text = "Count: 0";
count_lbl.Visible = true;
}
//Get 10 image to train
private void RECORD_BTN_Click(object sender, EventArgs e)
{
if (RECORD)
{
RECORD = false;
}
else
{
if (resultImages.Count == 10)
{
resultImages.Clear();
Application.Idle += new EventHandler(FrameGrabber);
}
RECORD = true;
ADD_BTN.Enabled = false;
}
}
private void NEXT_BTN_Click(object sender, EventArgs e)
{
if (results_list_pos < resultImages.Count - 1)
{
face_PICBX.Image = resultImages[results_list_pos].ToBitmap();
results_list_pos++;
PREV_btn.Enabled = true;
}
else
{
NEXT_BTN.Enabled = false;
}
}
private void PREV_btn_Click(object sender, EventArgs e)
{
if (results_list_pos > 0)
{
results_list_pos--;
face_PICBX.Image = resultImages[results_list_pos].ToBitmap();
NEXT_BTN.Enabled = true;
}
else
{
PREV_btn.Enabled = false;
}
}
private void ADD_ALL_Click(object sender, EventArgs e)
{
for(int i = 0; i<resultImages.Count;i++)
{
face_PICBX.Image = resultImages[i].ToBitmap();
if (!save_training_data(face_PICBX.Image)) MessageBox.Show("Error", "Error in saving file info. Training data not saved", MessageBoxButtons.OK, MessageBoxIcon.Error);
Thread.Sleep(100);
}
ADD_ALL.Visible = false;
//restart single face detection
Single_btn_Click(null, null);
}
private void Training_Form_Load(object sender, EventArgs e)
{
}
}
}
似乎这
并不是指表单1
的实例，而是指不同的表单
-类型人脸识别
。但是Training\u Form
的构造函数只接受Form1
作为参数。因此，如果您有一个Form1
实例，则必须传递该实例，或者更改构造函数的签名
也许使用表单就足够了
：
public Training_Form(Form _Parent)
{
InitializeComponent();
Parent = _Parent;
Face = Parent.Face;
//Face = new HaarCascade(Application.StartupPath + "/Cascades/haarcascade_frontalface_alt2.xml");
ENC_Parameters.Param[0] = ENC;
Image_Encoder_JPG = GetEncoder(ImageFormat.Jpeg);
initialise_capture();
}
如果需要Form1
，则必须传递一个实例。您正在按钮2中创建一个，单击，但只作为局部变量。您可以将其存储在字段中：
Form1 childf = null;
private void button2_Click(object sender, EventArgs e)
{
if(childf == null) childf = new Form1();
childf.ShowDialog();
}
private void button3_Click(object sender, EventArgs e)
{
if(childf == null) childf = new Form1();
Training_Form TF = new Training_Form(childf);
TF.Show();
}
您的Training\u表单
需要类型为Form1
的参数
在代码中，您试图为其提供关键字this
<代码>此
是您当前所在的对象。由于您是从mainwindow
调用它，因此您试图在其中输入mainwindow
类型，因为在这种情况下mainwindow
等于this
通过阅读您的代码，您可能意味着将childf
放入，或者至少是输入正确的类型。
这是可行的，但是您必须更全局地声明childf
参数
或者，您应该将构造函数中预期的类型更改为同样有效的mainwindow
。您正在从程序中发送一个“this”参数，该参数是对程序的引用，因此您得到的参数无效。您需要从Form1中调用以显示培训表单，或者将Form1设置为程序的私有实例化成员，以便将其传递给培训表单构造函数。在问题中以可读文本形式输入错误。您可以从错误列表中复制它们。这也很清楚：编译器只能找到训练表单（Form1）
重载，其中您想要传递的这个
显然不是Form1
的实例；这是一个主窗口
。谢谢。你的解决方案解决了这个问题。
Form1 childf = null;
private void button2_Click(object sender, EventArgs e)
{
if(childf == null) childf = new Form1();
childf.ShowDialog();
}
private void button3_Click(object sender, EventArgs e)
{
if(childf == null) childf = new Form1();
Training_Form TF = new Training_Form(childf);
TF.Show();
}