Exemplo n.º 1
0
 // 窗口关闭
 private void SingleCamera_FormClosing(object sender, FormClosingEventArgs e)
 {
     BnClose_Click(sender, e);
     this.Cursor = Cursors.WaitCursor;
     // wait ~ 1.5 seconds
     for (int i = 0; i < 3; i++)
     {
         System.Threading.Thread.Sleep(500);
     }
     this.Cursor = Cursors.Default;
     PaddleX.FreeModelMemory(paddlex.model); //释放model资源
     System.Environment.Exit(0);
 }
Exemplo n.º 2
0
        // 加载模型
        private void BnLoadModel_Click(object sender, EventArgs e)
        {
            BnStopDetection_Click(sender, e);

            //Paths = System.IO.Directory.GetFiles(@"C:\Users\Cleme\source\repos\WindowsFormsApp3\bin\Debug\netcoreapp3.1\datasets\vegetables_cls\all");
            Paths = System.IO.Directory.GetFiles(AppDomain.CurrentDomain.BaseDirectory + @"..\..\..\vegetables_cls");

            CommonOpenFileDialog fileDialog = new CommonOpenFileDialog();

            fileDialog.IsFolderPicker = true;
            this.bnLoadModel.Enabled  = false;

            if (fileDialog.ShowDialog() == CommonFileDialogResult.Ok)
            {
                if (paddlex.modelPath == "")
                {
                    paddlex.modelPath = fileDialog.FileName;
                }
                //MessageBox.Show("已选择模型路径:" + modelPath, "选择文件提示", MessageBoxButtons.OK, MessageBoxIcon.Information);
                paddlex.model            = PaddleX.CreatePaddlexModel(ref paddlex.modelType, paddlex.modelPath, paddlex.useGPU, paddlex.useTrt, paddlex.useMkl, paddlex.mklThreadNum, paddlex.gpuID, paddlex.key, paddlex.useIrOptim);
                this.bnLoadModel.Enabled = true;
                //Func<bool> handle = () =>
                //{

                //    this.Cursor = Cursors.WaitCursor;
                //    paddlex.model = PaddleX.CreatePaddlexModel(ref paddlex.modelType, paddlex.modelPath, paddlex.useGPU, paddlex.useTrt, paddlex.useMkl, paddlex.mklThreadNum, paddlex.gpuID, paddlex.key, paddlex.useIrOptim);
                //    return true;
                //};

                //IAsyncResult result = handle.BeginInvoke(null, null);
                //Thread loading = new Thread(() =>
                //{
                //    while (!result.AsyncWaitHandle.WaitOne(500))
                //    {
                //        //do something else ...
                //    }

                //    if (handle.EndInvoke(result))
                //    {
                //        this.Cursor = Cursors.Default;
                //        this.bnLoadModel.Enabled = true;
                //    }
                //});
                //loading.IsBackground = true;
                //loading.Start();
                //GC.KeepAlive(modelType);
                switch (paddlex.modelType)
                {
                case 0: tbModeltype.Text = "0:图像分类"; break;

                case 1: tbModeltype.Text = "1:目标检测"; break;

                case 2: tbModeltype.Text = "2:语义分割"; break;
                }
                if (paddlex.useGPU)
                {
                    tbModeltype.Text += " GPU";
                }
                else
                {
                    tbModeltype.Text += " CPU";
                }
                bnStartDetection.Enabled = true;
                //bnStopDetection.Enabled = true;
                bnThreshold.Enabled = true;
            }
            else
            {
                this.bnLoadModel.Enabled = true;
            }
        }
Exemplo n.º 3
0
        private Bitmap Inference(ref Bitmap bmp)
        {
            Stopwatch stopwatch = new Stopwatch();

            stopwatch.Start();
            Bitmap bmpNew = bmp.Clone(new Rectangle(0, 0, bmp.Width, bmp.Height), bmp.PixelFormat);
            //Bitmap resultShow;
            Mat        img     = BitmapConverter.ToMat(bmpNew);
            Graphics   g       = Graphics.FromImage(bmpNew);
            SolidBrush brush   = new SolidBrush(Color.White);
            int        channel = Image.GetPixelFormatSize(bmp.PixelFormat) / 8;

            byte[] source = GetbyteData(bmp);
            //int stride;
            //byte[] source = GetBGRValues(bmp, out stride);
            if (paddlex.modelType == 0)
            {
                bool res = PaddleX.PaddlexClsPredict(paddlex.model, source, bmp.Height, bmp.Width, channel, out int categoryID, out float score);
                if (res && score > 0.9)
                {
                    Scalar color = new Scalar(0, 0, 255);
                    string text  = paddlex.category[categoryID] + ": " + score.ToString("f2");
                    //OpenCvSharp.Size labelSize = Cv2.GetTextSize(text, HersheyFonts.HersheySimplex, 1, 1, out int baseline);
                    //Cv2.Rectangle(img, new OpenCvSharp.Point(0, 0), new OpenCvSharp.Point(100,20), color, -1, LineTypes.AntiAlias);
                    //Cv2.PutText(img, text, new OpenCvSharp.Point(5, 10), HersheyFonts.HersheySimplex, 0.5, Scalar.White);
                    //resultShow = new Bitmap(img.Cols, img.Rows, (int)img.Step(), PixelFormat.Format24bppRgb, img.Data);
                    //g = Graphics.FromImage(resultShow);
                    Rectangle rect = new Rectangle(5, 5, 110, 12);
                    g.FillRectangle(Brushes.Red, rect);
                    Rectangle innerBounds = new Rectangle(rect.Left, rect.Top, rect.Width - 1, rect.Height - 1);
                    g.DrawRectangle(Pens.Red, innerBounds);
                    g.DrawString(text, this.Font, brush, new PointF(5, 5));
                }
            }
            else if (paddlex.modelType == 1)
            {
                int     max_box = 10;
                bool    res     = false;
                float[] result  = new float[max_box * 6 + 1];
                res = PaddleX.PaddlexDetPredict(paddlex.model, source, bmp.Height, bmp.Width, channel, max_box, result, paddlex.visualize);
                if (res)
                {
                    Scalar color = new Scalar(255, 0, 0);
                    for (int i = 0; i < result[0]; i++)
                    {
                        if (result[6 * i + 2] < 0.9)
                        {
                            continue;
                        }
                        Rect rect = new Rect((int)result[6 * i + 3], (int)result[6 * i + 4], (int)result[6 * i + 5], (int)result[6 * i + 6]);
                        Cv2.Rectangle(img, rect, color, 1, LineTypes.AntiAlias);
                        string text = paddlex.category[(int)result[6 * i + 1]] + ":" + result[6 * i + 2].ToString("f2");
                        Cv2.PutText(img, text, new OpenCvSharp.Point((int)result[6 * i + 3], (int)result[6 * i + 4] - 5), HersheyFonts.HersheySimplex, 0.3, Scalar.Red);
                    }
                }
                else
                {
                    LogHelper.WriteLog("产品ID检测失败!");
                }
            }

            stopwatch.Stop();



            DateTime now = DateTime.Now;

            brush.Color = Color.Red;
            g.DrawString(now.ToString("yyyy-MM-dd HH:mm:ss dddd"), this.Font, brush, new PointF(bmpNew.Width - 120, bmpNew.Height - 15));
            g.DrawString(string.Format("ID:{0},耗时:{1}/ms", ++n, stopwatch.ElapsedMilliseconds), this.Font, brush, new PointF(5, bmpNew.Height - 15));
            brush.Dispose();
            g.Dispose();

            System.GC.Collect();
            return(bmpNew);
        }