海康 智能相机二开 绘制底图+测试工具应用框 - 指南

测试型号： 智能相机 MV-SC3050XC-12M-WBN

项目下载：海康智能相机二开资源

官方的二开资源中，只显示了基础图片

在官方的基础上，增加了OK/NG的渲染，已经测试工具的区域边框显示，已经工具结果的显示

左上角 方案结果的显示 OK或NG

物料上的边框，一个是检测区域，一个是工具结果，OK-绿色边框  NG-红色边框

目录

官方流程

渲染实现

Json解析

获取数据

底图渲染

---

官方流程

文档中，介绍了二开的流程

1.先枚举到相机

2.登录相机，默认账号密码： Admin   Abc1234

3.设置相机属性

4.开始运行

5.循环取图

6.运行结束

枚举相机和登录这里就不多说了。官方有详细介绍

渲染实现

主要说下工具边框的渲染

Json解析

1.在取图线程中，除了返回拍照的底图外，还有测试工具结果等数据返回，Json格式的数据

第一步就是取数据出来，解析成Json数据，此处使用的JObject来做处理。

  // 获取Json数据长度Array.Copy(arrChunkData, (int)(stFrameData.nChunkDataLen - 4), arrConvertEndian, 0, 4);nChunkJsonLen = BitConverter.ToInt32(arrConvertEndian.Reverse().ToArray(), 0);// 拷贝Json数据if (arrChunkJson.Length < nChunkJsonLen){arrChunkJson = new byte[nChunkJsonLen];}Array.Copy(arrChunkData, (int)stFrameData.nChunkDataLen - 8/*4-8中间是ChunkID*/- nChunkJsonLen, arrChunkJson, 0, nChunkJsonLen);// 解析Json，更新图像方案数据var jsonObj = JObject.Parse(Encoding.UTF8.GetString(arrChunkJson, 0, nChunkJsonLen));// 方案运行结果，1-NG、0-OK，其他值直接显示strResult = jsonObj["ScDeviceSolutionRunningResult"].ToString();if ("1" == strResult){strResult = "NG";}else if ("0" == strResult){strResult = "OK";}var CurrentData = jsonObj["CurrentData"] as JArray;

解析好后，你就能得到一个Json的对象，可以ToString() 出来，拷贝到文本中查看

文档中有对Json字段的解析，但不是全部，自己对字段名称琢磨琢磨也基本能知道对应啥意思

{"ScDeviceSolutionRunningTime": 3245,"ScDeviceCurrentSolutionName": "识别有无项目","ScDeviceSolutionTotalNumber": 2,"ScDeviceSolutionNgNumber": 1,"ScDeviceSolutionRunningResult": 1,"ScDeviceSolutionProcessTime": 239,"FlowId": 30,"CurrentData": [{"nStatus": 1,"nModuleID": 6,"ModuleName": "colorarea","DisplayName": "colorarea","fModuleTime": 51,"fAlgorithmTime": 21,"ModuleResultDrawEnable": 0,"pInfo": [{"nValueStatus": 1,"strParamName": "SINGLE_status","strResultTypeName": "SINGLE_status","strEnName": "status","nParamType": 1,"pIntValue": [1],"nValueNum": 1},{"nValueStatus": 1,"strParamName": "SINGLE_param_status","strResultTypeName": "SINGLE_param_status","strEnName": "param_status","nParamType": 1,"pIntValue": [0],"nValueNum": 1},{"nValueStatus": 1,"strParamName": "SINGLE_param_status_string","strResultTypeName": "SINGLE_param_status_string","strEnName": "param_status_string","nParamType": 3,"pStringValue": [{"nLen": 2,"strValue": "NG"}],"nValueNum": 1},{"nValueStatus": 1,"strParamName": "BOX_det_box_cx","strResultTypeName": "BOX_det_box_cx","strEnName": "det_box_cx","nParamType": 2,"pFloatValue": [1170.0799561],"nValueNum": 1},{"nValueStatus": 1,"strParamName": "BOX_det_box_cy","strResultTypeName": "BOX_det_box_cy","strEnName": "det_box_cy","nParamType": 2,"pFloatValue": [1289.8068848],"nValueNum": 1},{"nValueStatus": 1,"strParamName": "BOX_det_box_w","strResultTypeName": "BOX_det_box_w","strEnName": "det_box_w","nParamType": 2,"pFloatValue": [252.4647064],"nValueNum": 1},{"nValueStatus": 1,"strParamName": "BOX_det_box_h","strResultTypeName": "BOX_det_box_h","strEnName": "det_box_h","nParamType": 2,"pFloatValue": [217.52771],"nValueNum": 1},{"nValueStatus": 1,"strParamName": "BOX_det_box_ang","strResultTypeName": "BOX_det_box_ang","strEnName": "det_box_ang","nParamType": 2,"pFloatValue": [94.8396912],"nValueNum": 1},{"nValueStatus": 1,"strParamName": "RAWIMAGE_bin_draw_raw_img","strResultTypeName": "RAWIMAGE_bin_draw_raw_img","strEnName": "bin_draw_raw_img","nParamType": 3,"pStringValue": [{"nLen": 20,"strValue": "0x7ed3d92320_4980736"}],"nValueNum": 1},{"nValueStatus": 1,"strParamName": "SINGLE_total_area","strResultTypeName": "SINGLE_total_area","strEnName": "total_area","nParamType": 1,"pIntValue": [0],"nValueNum": 1},{"nValueStatus": 1,"strParamName": "SINGLE_rst_module_type","strResultTypeName": "SINGLE_rst_module_type","strEnName": "rst_module_type","nParamType": 1,"pIntValue": [4],"nValueNum": 1},{"nValueStatus": 1,"strParamName": "SINGLE_rst_measure","strResultTypeName": "SINGLE_rst_measure","strEnName": "rst_measure","nParamType": 2,"pFloatValue": [0],"nValueNum": 1},{"nValueStatus": 1,"strParamName": "SINGLE_rst_measure_limit_l","strResultTypeName": "SINGLE_rst_measure_limit_l","strEnName": "rst_measure_limit_l","nParamType": 2,"pFloatValue": [100],"nValueNum": 1},{"nValueStatus": 1,"strParamName": "SINGLE_rst_measure_limit_h","strResultTypeName": "SINGLE_rst_measure_limit_h","strEnName": "rst_measure_limit_h","nParamType": 2,"pFloatValue": [10000000],"nValueNum": 1},{"nValueStatus": 1,"strParamName": "SINGLE_rst_group_num","strResultTypeName": "SINGLE_rst_group_num","strEnName": "rst_group_num","nParamType": 1,"pIntValue": [51],"nValueNum": 1},{"nValueStatus": 1,"strParamName": "SINGLE_rst_group_value_x","strResultTypeName": "SINGLE_rst_group_value_x","strEnName": "rst_group_value_x","nParamType": 1,"pIntValue": [100,196176,392252,588329,784405,980482,1176558,1372635,1568711,1764788,1960864,2156941,2353017,2549094,2745170,2941247,3137323,3333400,3529476,3725553,3921629,4117705,4313782,4509859,4705935,4902011,5098088,5294164,5490241,5686317,5882394,6078470,6274547,6470623,6666700,6862776,7058853,7254929,7451006,7647082,7843159,8039235,8235311,8431388,8627465,8823541,9019618,9215694,9411770,9607847,10000000],"nValueNum": 51},{"nValueStatus": 1,"strParamName": "SINGLE_rst_group_value_y","strResultTypeName": "SINGLE_rst_group_value_y","strEnName": 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1,"strParamName": "FIXTURE_algo_used_run_point_x","strResultTypeName": "FIXTURE_algo_used_run_point_x","strEnName": "algo_used_run_point_x","nParamType": 2,"pFloatValue": [1182.5545654],"nValueNum": 1},{"nValueStatus": 1,"strParamName": "FIXTURE_algo_used_run_point_y","strResultTypeName": "FIXTURE_algo_used_run_point_y","strEnName": "algo_used_run_point_y","nParamType": 2,"pFloatValue": [1018.5428467],"nValueNum": 1},{"nValueStatus": 1,"strParamName": "FIXTURE_algo_used_run_angle","strResultTypeName": "FIXTURE_algo_used_run_angle","strEnName": "algo_used_run_angle","nParamType": 2,"pFloatValue": [94.8182526],"nValueNum": 1},{"nValueStatus": 1,"strParamName": "SINGLE_speckle_num","strResultTypeName": "SINGLE_speckle_num","strEnName": "speckle_num","nParamType": 1,"pIntValue": [10],"nValueNum": 1},{"nValueStatus": 1,"strParamName": "POINT_centroid_x","strResultTypeName": "POINT_centroid_x","strEnName": "centroid_x","nParamType": 2,"pFloatValue": [1244.8529053,1287.166626,1253,1281.5,1244.9000244,1285.3000488,1295,1245,1241,1280.5],"nValueNum": 10},{"nValueStatus": 1,"strParamName": "POINT_centroid_y","strResultTypeName": "POINT_centroid_y","strEnName": "centroid_y","nParamType": 2,"pFloatValue": [1089.6176758,1053.277832,1015.5,1119,1057.3000488,1068.5,991,1101,1121,1143.25],"nValueNum": 10},{"nValueStatus": 1,"strParamName": "SINGLE_area","strResultTypeName": "SINGLE_area","strEnName": "area","nParamType": 2,"pFloatValue": [17.0000019,9.000001,6.0000005,6.0000005,5.0000005,5.0000005,4,4,4,4],"nValueNum": 10},{"nValueStatus": 1,"strParamName": "SINGLE_perimeter","strResultTypeName": "SINGLE_perimeter","strEnName": "perimeter","nParamType": 2,"pFloatValue": [21.8994942,12.2426405,6,10,5.4142137,8.8284273,4,4,4,4.8284273],"nValueNum": 10},{"nValueStatus": 1,"strParamName": "BOX1_blob_box_cx","strResultTypeName": "BOX1_blob_box_cx","strEnName": "blob_box_cx","nParamType": 2,"pFloatValue": [1243.6500244,1286.4230957,1252.5,1281,1244.5,1284.8529053,1294.5,1244.5,1240.5,1280],"nValueNum": 10},{"nValueStatus": 1,"strParamName": "BOX1_blob_box_cy","strResultTypeName": "BOX1_blob_box_cy","strEnName": "blob_box_cy","nParamType": 2,"pFloatValue": [1089.0500488,1052.8846436,1015,1118.5,1057,1068.0882568,990.5,1100.5,1120.5,1143],"nValueNum": 10},{"nValueStatus": 1,"strParamName": "BOX1_blob_box_w","strResultTypeName": "BOX1_blob_box_w","strEnName": "blob_box_w","nParamType": 2,"pFloatValue": [9.2219219,5.7149515,3,6,3,5.123106,2,2,2,2.4142137],"nValueNum": 10},{"nValueStatus": 1,"strParamName": "BOX1_blob_box_h","strResultTypeName": "BOX1_blob_box_h","strEnName": "blob_box_h","nParamType": 2,"pFloatValue": [3.8460503,2.9414511,2,1,2,1.7276068,2,2,2,2.4142137],"nValueNum": 10},{"nValueStatus": 1,"strParamName": "BOX1_blob_box_ang","strResultTypeName": "BOX1_blob_box_ang","strEnName": "blob_box_ang","nParamType": 2,"pFloatValue": [18.434948,-33.6900673,90,90,90,-75.9637604,90,90,90,45],"nValueNum": 10},{"nValueStatus": 1,"strParamName": "SINGLE_blob_total_area","strResultTypeName": "SINGLE_blob_total_area","strEnName": "blob_total_area","nParamType": 1,"pIntValue": [64],"nValueNum": 1}],"nResultNum": 45},{"nStatus": 1,"nModuleID": 100,"ModuleName": "tcpstrans","DisplayName": "tcpstrans","fModuleTime": 0,"fAlgorithmTime": 0,"ModuleResultDrawEnable": 0,"pInfo": [{"nValueStatus": 1,"strParamName": "SINGLE_status","strResultTypeName": "SINGLE_status","strEnName": "status","nParamType": 1,"pIntValue": [1],"nValueNum": 1},{"nValueStatus": 1,"strParamName": "SINGLE_obj_string","strResultTypeName": "SINGLE_obj_string","strEnName": "obj_string","nParamType": 3,"pStringValue": []},{"nValueStatus": 1,"strParamName": "SINGLE_param_status","strResultTypeName": "SINGLE_param_status","strEnName": "param_status","nParamType": 1,"pIntValue": [1],"nValueNum": 1}],"nResultNum": 3}]
}

获取数据

数据都在CurrentData里边，渲染的数据都在 "ModuleName": "colorarea" 里边

底图渲染

包括矩形的中心，宽高，角度等

1.循环将colorarea取出，放到列表中

  var modules =new List();foreach(var C_data in CurrentData){if (C_data["ModuleName"].ToString() == "colorarea"){modules.Add(C_data);}}

2.将中心，宽高，角度已经工具测试结果取出

 List> rectangles = new List>();for (int i=0;i< modules.Count();i++){var module =modules[i];var pInfo = module["pInfo"];var BOX_det_box_cx = pInfo.First(x => x["strParamName"].ToString() == "BOX_det_box_cx");var BOX_det_box_cy = pInfo.First(x => x["strParamName"].ToString() == "BOX_det_box_cy");var BOX_det_box_w = pInfo.First(x => x["strParamName"].ToString() == "BOX_det_box_w");var BOX_det_box_h = pInfo.First(x => x["strParamName"].ToString() == "BOX_det_box_h");var BOX_det_box_ang = pInfo.First(x => x["strParamName"].ToString() == "BOX_det_box_ang");var cx = Convert.ToSingle(BOX_det_box_cx["pFloatValue"][0]);var cy = Convert.ToSingle(BOX_det_box_cy["pFloatValue"][0]);var w = Convert.ToSingle(BOX_det_box_w["pFloatValue"][0]);var h = Convert.ToSingle(BOX_det_box_h["pFloatValue"][0]);var ang = Convert.ToSingle(BOX_det_box_ang["pFloatValue"][0]);Rectangle rectangle = new Rectangle();rectangle.X = (int)cx- (int)(w/2.0f);rectangle.Y = (int)cy- (int)(h/2.0f);rectangle.Width = (int)w;rectangle.Height = (int)h;rectangles.Add(new Tuple(rectangle,ang));}

3.最后对基础图片进行渲染

       var baseData = arrImageData;byte[] modifiedData; // 用于接收处理后的数据using (MemoryStream ms = new MemoryStream(baseData)){using (System.Drawing.Image baseImage = System.Drawing.Image.FromStream(ms)){using (Graphics g = Graphics.FromImage(baseImage)){// 设置高质量绘制模式g.SmoothingMode = System.Drawing.Drawing2D.SmoothingMode.AntiAlias;g.PixelOffsetMode = System.Drawing.Drawing2D.PixelOffsetMode.HighQuality;Pen pen = new Pen(Brushes.Green,2);foreach(var rectangle in rectangles){var rect = rectangle.Item1;PointF center = new PointF(rect.X + rect.Width / 2, rect.Y + rect.Height / 2);// 创建一个新的变换矩阵Matrix matrix = new Matrix();// 设置变换：先平移至中心，然后旋转，最后平移回来matrix.Translate(center.X, center.Y);matrix.Rotate(rectangle.Item2);matrix.Translate(-center.X, -center.Y);// 将矩阵设置为 graphics 的当前变换g.Transform = matrix;// 绘制矩形g.DrawRectangle(pen, rect.X, rect.Y, rect.Width, rect.Height);// 重置变换（或者使用 g.ResetTransform()）g.Transform = new Matrix();}//绘制OK NG// 定义矩形参数int rectX = 0; // 左上角X坐标int rectY = 0; // 左上角Y坐标int rectWidth = 150;int rectHeight = 100;// 创建绿色画刷用于填充矩形Brush TextPen = new SolidBrush(Color.Green);if (strResult == "NG"){TextPen = new SolidBrush(Color.Red);}// 绘制矩形g.FillRectangle(TextPen, 0,0, rectWidth, rectHeight);// 设置文本显示string displayText = strResult;Font font = new Font("Arial", 20, FontStyle.Bold);using (Brush textBrush = new SolidBrush(Color.White)){// 测量文本尺寸以计算居中位置SizeF textSize = g.MeasureString(strResult, font);// 计算文本在矩形中的居中位置float textX = rectX + (rectWidth - textSize.Width) / 2;float textY = rectY + (rectHeight - textSize.Height) / 2;// 绘制文本g.DrawString(strResult, font, textBrush, textX, textY);}}// 关键步骤：将修改后的图像保存到新的 MemoryStream，以转换为 byte[]using (MemoryStream msOut = new MemoryStream()){// 保存为PNG格式，避免压缩损失。也可根据需要选择Jpeg等格式baseImage.Save(msOut, System.Drawing.Imaging.ImageFormat.Jpeg);modifiedData = msOut.ToArray(); // 获取新字节数组}}}// 显示图像DisplayImage(ref stFrameData, ref modifiedData);

4.最后将渲染好的图片，返回到你想要显示的控件中