Exemplo n.º 1
0
 private void btnToolSearch_Click(object sender, EventArgs e)
 {
     this.dataGridViewTool.DataSource = DBSet.ReadCSV(@"..\tool.csv");
 }
Exemplo n.º 2
0
        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);
            }
        }
Exemplo n.º 3
0
 private void btnUserSearch_Click(object sender, EventArgs e)
 {
     this.dataGridViewUser.DataSource = DBSet.ReadCSV(@"..\user.csv");
 }
Exemplo n.º 4
0
        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);
            }
        }