paddle识别异常处理

paddleOCR/PaddleSharpAPI.cs

@@ -143,25 +143,33 @@ namespace paddleOCR
                 List<TextBlock> list = new List<TextBlock>();
                 List<TextBlock> list = new List<TextBlock>();
                 foreach (var item in dir.GetFiles())
                 foreach (var item in dir.GetFiles())
                 {
                 {
-                    float score = 0f;
-                    var imagebyte = File.ReadAllBytes(item.FullName);
-                    var res = engine.DetectText(imagebyte);
-                    StringBuilder sb = new StringBuilder();
-                    res.TextBlocks.ForEach(s => { score += s.Score; sb.AppendLine(s.Text); });
-                    //foreach (var item in ocrResult.TextBlocks)
-                    //{
-                    //    using (Graphics g = Graphics.FromImage(bitmap))
-                    //    {
-                    //        g.DrawPolygon(new Pen(Brushes.Red, 2), item.BoxPoints.Select(x => new PointF() { X = x.X, Y = x.Y }).ToArray());
-                    //    }
-                    //}                 
-                    log.Info($"【{item.FullName}】结果：【{score}】【{sb.ToString().Replace("\r", "").Replace("\n", ";")}】");
-                    if (score > maxScore)
+                    try
                     {
                     {
-                        maxScore = score;
-                        list = res.TextBlocks;
+                        float score = 0f;
+                        var imagebyte = File.ReadAllBytes(item.FullName);
+                        var res = engine.DetectText(imagebyte);
+                        StringBuilder sb = new StringBuilder();
+                        res.TextBlocks.ForEach(s => { score += s.Score; sb.AppendLine(s.Text); });
+                        //foreach (var item in ocrResult.TextBlocks)
+                        //{
+                        //    using (Graphics g = Graphics.FromImage(bitmap))
+                        //    {
+                        //        g.DrawPolygon(new Pen(Brushes.Red, 2), item.BoxPoints.Select(x => new PointF() { X = x.X, Y = x.Y }).ToArray());
+                        //    }
+                        //}                 
+                        log.Info($"【{item.FullName}】结果：【{score}】【{sb.ToString().Replace("\r", "").Replace("\n", ";")}】");
+                        if (score > maxScore)
+                        {
+                            maxScore = score;
+                            list = res.TextBlocks;
+                        }
+                    }
+                    catch (Exception ex)
+                    {
+                        log.Error($"{item.FullName}异常", ex);
                     }
                     }
-                }                
+
+                }
                 log.Info($"使用识别分数【{maxScore}】");
                 log.Info($"使用识别分数【{maxScore}】");
                 Dictionary<int, List<TextBlock>> lines = new Dictionary<int, List<TextBlock>>();
                 Dictionary<int, List<TextBlock>> lines = new Dictionary<int, List<TextBlock>>();
                 int line = 0, idx = 0, i = 1;
                 int line = 0, idx = 0, i = 1;
@@ -212,7 +220,7 @@ namespace paddleOCR
 
 
                 }
                 }
                 foreach (var lineTxt in lines)
                 foreach (var lineTxt in lines)
-                {                    
+                {
                     lineTxt.Value.Sort(delegate (TextBlock x1, TextBlock x2) { if (x1.BoxPoints[0].X > x2.BoxPoints[0].X) return 1; else return -1; });
                     lineTxt.Value.Sort(delegate (TextBlock x1, TextBlock x2) { if (x1.BoxPoints[0].X > x2.BoxPoints[0].X) return 1; else return -1; });
                     foreach (var text in lineTxt.Value)
                     foreach (var text in lineTxt.Value)
                     {
                     {
@@ -384,47 +392,47 @@ namespace paddleOCR
                 }
                 }
                 #region ocr文字统一一行   
                 #region ocr文字统一一行   
                 //矩形中心点的相差阈值
                 //矩形中心点的相差阈值
-                int threshold = int.Parse(ConfigHelper.Config.Get("paddleOcr_RowThreshold", "10")); 
+                int threshold = int.Parse(ConfigHelper.Config.Get("paddleOcr_RowThreshold", "10"));
                 List<StringIntPair> mergedTextlist = new List<StringIntPair>();
                 List<StringIntPair> mergedTextlist = new List<StringIntPair>();
                 double lastYAvg = 0;
                 double lastYAvg = 0;
                 foreach (var entity in list)
                 foreach (var entity in list)
                 {
                 {
                     double avgY = entity.BoxPoints.Average(a => a.Y);
                     double avgY = entity.BoxPoints.Average(a => a.Y);
-                    if (Math.Abs(lastYAvg - avgY)<threshold)
+                    if (Math.Abs(lastYAvg - avgY) < threshold)
                     {
                     {
                         mergedTextlist.Add(new StringIntPair(entity.Text, entity.BoxPoints[0].X));
                         mergedTextlist.Add(new StringIntPair(entity.Text, entity.BoxPoints[0].X));
                     }
                     }
                     else
                     else
                     {
                     {
-                        if (mergedTextlist.Count!=0)
+                        if (mergedTextlist.Count != 0)
                         {
                         {
                             var stringdata = mergedTextlist.OrderBy(a => a.IntValue);
                             var stringdata = mergedTextlist.OrderBy(a => a.IntValue);
                             string str = "";
                             string str = "";
-                            foreach (var item in stringdata) 
-                            {                                
-                                str+= item.StringValue+" "; 
+                            foreach (var item in stringdata)
+                            {
+                                str += item.StringValue + " ";
                             }
                             }
                             stringLists.Add(str);
                             stringLists.Add(str);
                             mergedTextlist.Clear();
                             mergedTextlist.Clear();
                         }
                         }
-                        mergedTextlist.Add(new StringIntPair(entity.Text, entity.BoxPoints[0].X));                                  
+                        mergedTextlist.Add(new StringIntPair(entity.Text, entity.BoxPoints[0].X));
                     }
                     }
-                    lastYAvg = avgY;                  
+                    lastYAvg = avgY;
                 }
                 }
                 if (mergedTextlist.Count != 0)
                 if (mergedTextlist.Count != 0)
                 {
                 {
                     var stringdata = mergedTextlist.OrderBy(a => a.IntValue);
                     var stringdata = mergedTextlist.OrderBy(a => a.IntValue);
                     string str = "";
                     string str = "";
                     foreach (var item in stringdata)
                     foreach (var item in stringdata)
-                    {                        
-                        str += item.StringValue+" ";
+                    {
+                        str += item.StringValue + " ";
                     }
                     }
                     stringLists.Add(str);
                     stringLists.Add(str);
                     mergedTextlist.Clear();
                     mergedTextlist.Clear();
-                }             
+                }
                 log.Info($"OCRHandleRewrite:矩形中心点相差阈值为：{threshold}");
                 log.Info($"OCRHandleRewrite:矩形中心点相差阈值为：{threshold}");
                 #endregion
                 #endregion
-                log.Info($"OCRHandleRewrite:使用识别分数【{maxScore}】");                
+                log.Info($"OCRHandleRewrite:使用识别分数【{maxScore}】");
             }
             }
             log.Info($"OCRHandleRewrite:OCR识别完成");
             log.Info($"OCRHandleRewrite:OCR识别完成");
             sw.Stop();
             sw.Stop();