public void configNew()
{
//ManagementClass mc = new ManagementClass("Win32_NetworkAdapterConfiguration");
//ManagementObjectCollection nics = mc.GetInstances();
//foreach (ManagementObject nic in nics)
//{
// if (Convert.ToBoolean(nic["ipEnabled"]) == true)
// {
//string mac = nic["MacAddress"].ToString();//Mac地址
//ip = (nic["IPAddress"] as String[])[0];//IP地址
//ipsubnet = (nic["IPSubnet"] as String[])[0];//子网掩码
//ipgateway = (nic["DefaultIPGateway"] as String[])[0];//默认网关
// }
//}
this.txtbox_IP.Text = "";
this.txtbox_mask.Text = "";
this.txtbox_gate.Text = "";
listDevice = Common.ToDataList <device>(DBSet.ReadCSV(@"..\device.csv"));
dataGridView_device.DataSource = DBSet.ReadCSV(@"..\device.csv");
listUser = Common.ToDataList <user>(DBSet.ReadCSV(@"..\user.csv"));
dataGridViewUser.DataSource = DBSet.ReadCSV(@"..\user.csv");
listTool = Common.ToDataList <tool>(DBSet.ReadCSV(@"..\tool.csv"));
dataGridViewTool.DataSource = DBSet.ReadCSV(@"..\tool.csv");
}
private void btn_search_device_Click(object sender, EventArgs e)
{
try
{
this.dataGridView_device.DataSource = DBSet.ReadCSV(@"..\device.csv");
}
catch (Exception ex)
{
MessageBox.Show(ex.Message);
}
}
private void btnToolSearch_Click(object sender, EventArgs e)
{
this.dataGridViewTool.DataSource = DBSet.ReadCSV(@"..\tool.csv");
}
private void btnUserSearch_Click(object sender, EventArgs e)
{
this.dataGridViewUser.DataSource = DBSet.ReadCSV(@"..\user.csv");
}
private void FZ2()
{
tools_second.Clear();
bmp_secend = videoSourcePlayer1.GetCurrentVideoFrame();
pictureBox1.Image = bmp_secend;
this.videoSourcePlayer1.Visible = true;
this.pictureBox1.Visible = false;
DirectoryInfo root = new DirectoryInfo("tools//");
DirectoryInfo[] dics = root.GetDirectories();
progressBar.Value = 0;
progressBar.Maximum = dics.Length;
Bitmap x = ConvertToFormat(bmp_secend, PixelFormat.Format24bppRgb);
try
{
txtbox_msg.Text = "图像处理中";
foreach (var path in dics)
{
Bitmap sourceImage = ConvertToFormat(System.Drawing.Image.FromFile(path.GetFiles()[0].FullName), PixelFormat.Format24bppRgb);
// 创建模板匹配算法的实例
//（将相似度阈值设置为92.5％）
string temp = path.Name;
DataTable dataTable1 = DBSet.ReadCSV(@"..\tool.csv");
List <tool> listTool1 = Common.ToDataList <tool>(dataTable1);
foreach (tool a in listTool1)
{
if (a.picture == temp)
{
Rectangle p = new Rectangle(Convert.ToInt32(a.x) - 10, Convert.ToInt32(a.y) - 10, Convert.ToInt32(a.w) + 20, Convert.ToInt32(a.h) + 20);
Bitmap targetImage = (Bitmap)AcquireRectangleImage1(x, p);
Bitmap cp = targetImage.Clone() as Bitmap; // 复制原始图像
FiltersSequence seq = new FiltersSequence();
seq.Add(Grayscale.CommonAlgorithms.BT709); // 添加灰度滤镜
seq.Add(new OtsuThreshold()); // 添加二值化滤镜
cp = seq.Apply(targetImage); // 应用滤镜
cp = ConvertToFormat(cp, PixelFormat.Format24bppRgb);
ExhaustiveTemplateMatching tm = new ExhaustiveTemplateMatching(0.85f);
//查找具有上述指定相似性的所有匹配项
TemplateMatch[] matchings = tm.ProcessImage(cp, sourceImage);
if (matchings.Length != 0)
{
tools_second.Add(path.Name);
//高亮发现的匹配
using (Graphics g = Graphics.FromImage(targetImage))
{
if (matchings.Length != 0)
{
foreach (TemplateMatch m in matchings)
{
g.DrawRectangle(new Pen(Color.Red, 1), m.Rectangle);
}
}
}
//using (Graphics g = Graphics.FromImage(x))
//{
// g.DrawRectangle(new Pen(Color.Red, 1), p);
//}
//Random rd = new Random();
//targetImage.Save("result\\" + path.Name + rd.Next(0, 100) + "2.jpg");
//break;
}
}
}
sourceImage.Dispose();
progressBar.Value++;
dataTable1.Dispose();
}
List <string> pick = new List <string>();
List <string> putIn = new List <string>();
if (tools_first.Count >= tools_second.Count)
{
pick = (tools_first.Distinct()).Except(tools_second.Distinct()).ToList();
}
if (tools_first.Count <= tools_second.Count)
{
putIn = (tools_second.Distinct()).Except(tools_first.Distinct()).ToList();
}
progressBar.Value = 0;
DataTable dataTable = DBSet.ReadCSV(@"..\tool.csv");
List <tool> listTool = Common.ToDataList <tool>(dataTable);
if (pick.Count != 0 || putIn.Count != 0)
{
dataGridView1.Rows.Clear();
foreach (var i in pick)
{
foreach (tool a in listTool)
{
if (a.picture == i)
{
int index = dataGridView1.Rows.Add();
dataGridView1.Rows[index].Cells[0].Value = "领取";
dataGridView1.Rows[index].Cells[1].Value = a.No;
dataGridView1.Rows[index].Cells[2].Value = a.name;
dataGridView1.Rows[index].Cells[3].Value = a.address;
dataGridView1.Rows[index].Cells[4].Value = ConvertToFormat(System.Drawing.Image.FromFile("tools//" + i + "//" + i + "_2.jpg"), PixelFormat.Format24bppRgb);
dataGridView1.Rows[index].Cells[5].Value = DateTime.Now.ToString("HH:mm:ss");
}
}
}
foreach (var j in putIn)
{
foreach (tool a in listTool)
{
if (a.picture == j)
{
int index = dataGridView1.Rows.Add();
dataGridView1.Rows[index].Cells[0].Value = "归还";
dataGridView1.Rows[index].Cells[1].Value = a.No;
dataGridView1.Rows[index].Cells[2].Value = a.name;
dataGridView1.Rows[index].Cells[3].Value = a.address;
dataGridView1.Rows[index].Cells[4].Value = ConvertToFormat(System.Drawing.Image.FromFile("tools//" + j + "//" + j + "_2.jpg"), PixelFormat.Format24bppRgb);
dataGridView1.Rows[index].Cells[5].Value = DateTime.Now.ToString("HH:mm:ss");
}
}
}
}
dataTable.Dispose();
txtbox_msg.Text = "处理完成!!!";
}
catch (Exception ex)
{
MessageBox.Show(ex.Message);
}
}
private void FZ()
{
Thread.Sleep(500);
tools_first.Clear();
bmp_first = videoSourcePlayer1.GetCurrentVideoFrame();
//pictureBox1.Image = bmp_first;
//bmp_first.Save("result\\2.jpg");
this.videoSourcePlayer1.Visible = false;
this.pictureBox1.Visible = true;
DirectoryInfo root = new DirectoryInfo("tools//");
DirectoryInfo[] dics = root.GetDirectories();
Bitmap x = ConvertToFormat(bmp_first, PixelFormat.Format24bppRgb);
progressBar.Value = 0;
progressBar.Maximum = dics.Length;
try
{
txtbox_msg.Text = "图像处理中";
foreach (var path in dics)
{
Bitmap sourceImage = ConvertToFormat(System.Drawing.Image.FromFile(path.GetFiles()[0].FullName), PixelFormat.Format24bppRgb);
// 创建模板匹配算法的实例
//（将相似度阈值设置为92.5％）
string temp = path.Name;
DataTable dataTable = DBSet.ReadCSV(@"..\tool.csv");
List <tool> listTool = Common.ToDataList <tool>(dataTable);
foreach (tool a in listTool)
{
if (a.picture == temp)
{
Rectangle p = new Rectangle(Convert.ToInt32(a.x) - 10, Convert.ToInt32(a.y) - 10, Convert.ToInt32(a.w) + 20, Convert.ToInt32(a.h) + 20);
Bitmap targetImage = (Bitmap)AcquireRectangleImage1(x, p);
Bitmap cp = targetImage.Clone() as Bitmap; // 复制原始图像
FiltersSequence seq = new FiltersSequence();
seq.Add(Grayscale.CommonAlgorithms.BT709); // 添加灰度滤镜
seq.Add(new OtsuThreshold()); // 添加二值化滤镜
cp = seq.Apply(targetImage); // 应用滤镜
cp = ConvertToFormat(cp, PixelFormat.Format24bppRgb);
ExhaustiveTemplateMatching tm = new ExhaustiveTemplateMatching(0.85f);
//查找具有上述指定相似性的所有匹配项
TemplateMatch[] matchings = tm.ProcessImage(cp, sourceImage);
if (matchings.Length != 0)
{
tools_first.Add(path.Name);
//高亮发现的匹配
using (Graphics g = Graphics.FromImage(targetImage))
{
if (matchings.Length != 0)
{
foreach (TemplateMatch m in matchings)
{
g.DrawRectangle(new Pen(Color.Red, 1), m.Rectangle);
}
}
}
//using (Graphics g = Graphics.FromImage(x))
//{
// g.DrawRectangle(new Pen(Color.Red, 1), p);
//}
Random rd = new Random();
targetImage.Save("result\\" + path.Name + rd.Next(0, 100) + "1.jpg");
break;
}
}
}
sourceImage.Dispose();
progressBar.Value++;
}
txtbox_msg.Text = "处理完成!!!";
this.pictureBox1.Visible = false;
pictureBox1.Image = x;
progressBar.Value = 0;
}
catch (Exception ex)
{
MessageBox.Show(ex.Message);
}
}