1

CarerayImage/CarerayImage.csproj

@@ -21,8 +21,7 @@
     <DefineConstants>DEBUG;TRACE</DefineConstants>
     <DefineConstants>DEBUG;TRACE</DefineConstants>
     <ErrorReport>prompt</ErrorReport>
     <ErrorReport>prompt</ErrorReport>
     <WarningLevel>4</WarningLevel>
     <WarningLevel>4</WarningLevel>
-    <DocumentationFile>
-    </DocumentationFile>
+    <DocumentationFile>bin\Debug\Asa.CarerayImage.xml</DocumentationFile>
     <AllowUnsafeBlocks>true</AllowUnsafeBlocks>
     <AllowUnsafeBlocks>true</AllowUnsafeBlocks>
   </PropertyGroup>
   </PropertyGroup>
   <PropertyGroup Condition=" '$(Configuration)|$(Platform)' == 'Release|AnyCPU' ">
   <PropertyGroup Condition=" '$(Configuration)|$(Platform)' == 'Release|AnyCPU' ">
@@ -51,6 +50,7 @@
     <Reference Include="System.Xml" />
     <Reference Include="System.Xml" />
   </ItemGroup>
   </ItemGroup>
   <ItemGroup>
   <ItemGroup>
+    <Compile Include="ONNXAlgoMatch.cs" />
     <Compile Include="eyemLib.cs" />
     <Compile Include="eyemLib.cs" />
     <Compile Include="haobo.cs" />
     <Compile Include="haobo.cs" />
     <Compile Include="HaoboSDK\HBI_FPD_DLL.cs" />
     <Compile Include="HaoboSDK\HBI_FPD_DLL.cs" />

CarerayImage/ONNXAlgoMatch.cs

+using System;
+using System.Collections.Generic;
+using System.Drawing;
+using System.IO;
+using System.Linq;
+using System.Runtime.Serialization.Formatters.Binary;
+using System.Text;
+using System.Threading.Tasks;
+using static Asa.eyemLib;
+
+namespace Asa
+{
+    /// <summary>
+    /// ONNX算法匹配
+    /// </summary>
+    public class ONNXAlgoMatch
+    {
+        static Dictionary<Bitmap, float[]> dictFeatures = new Dictionary<Bitmap, float[]>();
+        static ONNXAlgoMatch() {
+            string onnxfile = "./darknet/ec_model.onnx";
+            int flag = eyemInitONNXModel(onnxfile);
+            if (flag != 0)
+            {
+                throw new Exception($"加载ONNX算法模型文件失败！-{onnxfile}");
+            }
+            string featurePath = "./darknet/feature.te";
+
+            if (!File.Exists(featurePath))
+                throw new Exception($"加载ONNX算法匹配文件失败！-{featurePath}");
+
+            BinaryFormatter bf = new BinaryFormatter();
+            using (Stream stream = new FileStream(featurePath, FileMode.Open, FileAccess.Read))
+            {
+                dictFeatures = (Dictionary<Bitmap, float[]>)bf.Deserialize(stream);
+            }
+        }
+        /// <summary>
+        /// 匹配算法PID
+        /// </summary>
+        /// <param name="fileName"></param>
+        /// <param name="ShrinkOffset"></param>
+        /// <param name="matchDeg">匹配百分比</param>
+        /// <returns></returns>
+        public static string MatchPID(string fileName, int ShrinkOffset, out float matchDeg) {
+
+
+
+
+            int flag = eyemImageRead(fileName, -1, out EyemImage image);
+            if (flag != 0 || image.iDepth != 2 || image.iChannels != 3)
+            {
+                throw new Exception("文件类型错误！");                
+            }
+
+            var tpRoi = new EyemRect();
+            tpRoi.iXs = 0 + ShrinkOffset;
+            tpRoi.iYs = 0 + ShrinkOffset;
+            tpRoi.iWidth = image.iWidth - ShrinkOffset * 2;
+            tpRoi.iHeight = image.iHeight - ShrinkOffset * 2;
+
+            matchDeg = 0;
+            flag = eyemAchvMatchMat(image, tpRoi, out EyemImage extractMat);
+            if (extractMat.ucpImage == IntPtr.Zero)
+            {
+                throw new Exception("获取源图特征部分失败！");
+            }
+            //提取特征
+            float[] fFeature = new float[512];
+            eyemExtractWithONNX(extractMat, fFeature);
+            eyemImageFree(ref extractMat);
+            eyemImageFree(ref image);
+            //匹配最大值
+            Dictionary<int, float> dictMatchDeg = new Dictionary<int, float>();
+            foreach (var item in dictFeatures)
+            {
+                float simDeg = calcSimilarity(item.Value.Take(512).ToArray(), fFeature);
+                var k = (int)item.Value[512];
+                if (!dictMatchDeg.ContainsKey(k))
+                    dictMatchDeg.Add(k, simDeg);
+            }
+            var predict = dictMatchDeg.OrderBy(p => p.Value);
+            var last = predict.Last();
+            string label = "PID" + last.Key.ToString().PadLeft(3, '0');
+            matchDeg = last.Value;
+            return label;
+        }
+    }
+}

CarerayImage/XrayImage.cs

@@ -407,6 +407,16 @@ namespace Asa
             device.SaveRAW(filePath);
             device.SaveRAW(filePath);
         }
         }
         /// <summary>
         /// <summary>
+        /// 设置处理级别
+        /// </summary>
+        /// <param name="pl">
+        /// pl>2.0就用你设置的值，pl<=2.0就等于默认值2.0,,一般来说离线点料机pl=2.0，在线点料机pl=4.0
+        /// </param>
+        /// <returns></returns>
+        public static int setProcessLevel(double pl) {
+            return eyemLib.setProcessLevel(pl);
+        }
+        /// <summary>
         /// 校准平板
         /// 校准平板
         /// </summary>
         /// </summary>
         /// <param name="mode">1:暗场校准,2亮场校准</param>
         /// <param name="mode">1:暗场校准,2亮场校准</param>

CarerayImage/eyemLib.cs

@@ -48,14 +48,15 @@ namespace Asa
 
 
         //[DllImport("eyemLib.dll", CharSet = CharSet.None, CallingConvention = CallingConvention.Cdecl)]
         //[DllImport("eyemLib.dll", CharSet = CharSet.None, CallingConvention = CallingConvention.Cdecl)]
         //internal static extern int eyemCountObjectIrregularParts(EyemImage tpSrcImg, EyemRect tpRoi, string fileName, double dOffset, string strType, int iMaxArea, int iWinSize, ref string pNumObj, out EyemImage tpDstImg);
         //internal static extern int eyemCountObjectIrregularParts(EyemImage tpSrcImg, EyemRect tpRoi, string fileName, double dOffset, string strType, int iMaxArea, int iWinSize, ref string pNumObj, out EyemImage tpDstImg);
-      
+
         //[DllImport("eyemLib.dll", CharSet = CharSet.None, CallingConvention = CallingConvention.Cdecl)]
         //[DllImport("eyemLib.dll", CharSet = CharSet.None, CallingConvention = CallingConvention.Cdecl)]
         //internal static extern int eyemCountObjectE(EyemImage tpImage, EyemRect tpRoi, string fileName, ref string pNumObj, out EyemImage tpDstImg);
         //internal static extern int eyemCountObjectE(EyemImage tpImage, EyemRect tpRoi, string fileName, ref string pNumObj, out EyemImage tpDstImg);
-     
+
         //[DllImport("eyemLib.dll", CharSet = CharSet.None, CallingConvention = CallingConvention.Cdecl)]
         //[DllImport("eyemLib.dll", CharSet = CharSet.None, CallingConvention = CallingConvention.Cdecl)]
         //internal static extern int eyemCountObjectIrregularPartsE(EyemImage tpImage, EyemRect tpRoi, string fileName, string ccTplName, IntPtr hModelIDs, ref string pNumObj, out EyemImage tpDstImg);
         //internal static extern int eyemCountObjectIrregularPartsE(EyemImage tpImage, EyemRect tpRoi, string fileName, string ccTplName, IntPtr hModelIDs, ref string pNumObj, out EyemImage tpDstImg);
 
 
-
+        [DllImport("eyemLib.dll", CharSet = CharSet.None, CallingConvention = CallingConvention.Cdecl)]
+        public static extern void loadImage2Mem(string key, EyemImage tpImage);
 
 
 
 
 
 
@@ -93,6 +94,47 @@ namespace Asa
 
 
         [DllImport("eyemLib.dll", CharSet = CharSet.None, CallingConvention = CallingConvention.Cdecl)]
         [DllImport("eyemLib.dll", CharSet = CharSet.None, CallingConvention = CallingConvention.Cdecl)]
         internal static extern int eyemAchvMatchMat(EyemImage tpImage, EyemRect tpRoi, out EyemImage tpDstImg);
         internal static extern int eyemAchvMatchMat(EyemImage tpImage, EyemRect tpRoi, out EyemImage tpDstImg);
+        
+        [DllImport("eyemLib.dll", CharSet = CharSet.None, CallingConvention = CallingConvention.Cdecl)]
+        internal static extern int setProcessLevel(double pl);
+
+        #region ONNX识别网络
+
+        /// <summary>
+        /// 初始化ONNX模型（10.0）
+        /// </summary>
+        /// <param name="extractorModelPath">模型路径</param>
+        /// <returns></returns>
+        [DllImport("eyemLib.dll", CharSet = CharSet.None, CallingConvention = CallingConvention.Cdecl)]
+        internal static extern int eyemInitONNXModel(string extractorModelPath);
+        /// <summary>
+        /// 特征提取器
+        /// </summary>
+        /// <param name="tpImage">图像（128X128）</param>
+        /// <param name="fFeatures">特征</param>
+        /// <returns></returns>
+        [DllImport("eyemLib.dll", CharSet = CharSet.None, CallingConvention = CallingConvention.Cdecl)]
+        internal static extern int eyemExtractWithONNX(EyemImage tpImage, [MarshalAs(UnmanagedType.LPArray)] float[] fFeatures);
+        /// <summary>
+        /// 特征匹配
+        /// </summary>
+        /// <param name="lhs">向量一</param>
+        /// <param name="rhs">向量二</param>
+        /// <returns></returns>
+        [DllImport("eyemLib.dll", CharSet = CharSet.None, CallingConvention = CallingConvention.Cdecl)]
+        internal static extern float calcSimilarity([MarshalAs(UnmanagedType.LPArray)] float[] lhs, [MarshalAs(UnmanagedType.LPArray)] float[] rhs);
+        /// <summary>
+        /// 对图像进行采样生成训练样本
+        /// </summary>
+        /// <param name="tpImage">图像</param>
+        /// <param name="iSize">尺寸128（最大224）</param>
+        /// <param name="ccClassName">类名</param>
+        /// <param name="ccToPath">保存路径</param>
+        /// <returns></returns>
+        [DllImport("eyemLib.dll", CharSet = CharSet.None, CallingConvention = CallingConvention.Cdecl)]
+        internal static extern int eyemTrainImageSampler(EyemImage tpImage, int iSize, string ccClassName, string ccToPath, out EyemImage tpMatchImg, out EyemImage tpDstImg);
+
+        #endregion
 
 
 
 
         // 日志回调
         // 日志回调