PaddleSharpAPI.cs
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using log4net;
using log4net.Util;
using Model;
using PaddleOCRSharp;
using System;
using System.Collections.Generic;
using System.Data;
using System.Drawing;
using System.Drawing.Imaging;
using System.IO;
using System.Linq;
using System.Security.Cryptography.X509Certificates;
using System.Text;
using System.Web;
namespace paddleOCR
{
internal class PaddleSharpAPI
{
static PaddleOCREngine engine;
static string baseDir = ".\\LabelOut\\";
public static void Init()
{
//自带轻量版中英文模型V3模型
OCRModelConfig config = null;
//服务器中英文模型
//OCRModelConfig config = new OCRModelConfig();
//string root = System.IO.Path.GetDirectoryName(typeof(OCRModelConfig).Assembly.Location);
//string modelPathroot = root + @"\inferenceserver";
//config.det_infer = modelPathroot + @"\ch_ppocr_server_v2.0_det_infer";
//config.cls_infer = modelPathroot + @"\ch_ppocr_mobile_v2.0_cls_infer";
//config.rec_infer = modelPathroot + @"\ch_ppocr_server_v2.0_rec_infer";
//config.keys = modelPathroot + @"\ppocr_keys.txt";
//英文和数字模型V3
//OCRModelConfig config = new OCRModelConfig();
//string root = System.IO.Path.GetDirectoryName(typeof(OCRModelConfig).Assembly.Location);
//string modelPathroot = root + @"\en_v3";
//config.det_infer = modelPathroot + @"\en_PP-OCRv3_det_infer";
//config.cls_infer = modelPathroot + @"\ch_ppocr_mobile_v2.0_cls_infer";
//config.rec_infer = modelPathroot + @"\en_PP-OCRv3_rec_infer";
//config.keys = modelPathroot + @"\en_dict.txt";
//OCR参数
OCRParameter oCRParameter = new OCRParameter();
oCRParameter.numThread = 6;//预测并发线程数
oCRParameter.Enable_mkldnn = true;//web部署该值建议设置为0,否则出错,内存如果使用很大,建议该值也设置为0.
oCRParameter.cls = false; //是否执行文字方向分类;默认false
oCRParameter.det = true;//是否开启方向检测,用于检测识别180旋转
oCRParameter.use_angle_cls = true;//是否开启方向检测,用于检测识别180旋转
oCRParameter.det_db_score_mode = true;//是否使用多段线,即文字区域是用多段线还是用矩形,
oCRParameter.UnClipRatio = 1.6f;
oCRParameter.MaxSideLen = 960;
//初始化OCR引擎
engine = new PaddleOCREngine(config, oCRParameter);
}
static ILog log = VisionAPI.log;
static System.Diagnostics.Stopwatch sw = new System.Diagnostics.Stopwatch();
public static bool OCRHandle(string imgPath, out string result)
{
result = "";
sw.Restart();
if (string.IsNullOrEmpty(imgPath))
{
return false;
}
if (Directory.Exists(baseDir))
{
Directory.Delete(baseDir, true);
}
Directory.CreateDirectory(baseDir);
EyemImage image = new EyemImage();
EyemImage tpDstImg = new EyemImage();
int flag;
log.Info($"准备读取图像:{imgPath}");
flag = VisionAPI.eyemImageRead(imgPath, -1, out image);
log.Info($"图像通道为:{image.iChannels}");
log.Info($"读取图像:{imgPath},rtnCode={flag}");
///实例分割
///
{
RotateBox container = new RotateBox();
flag = VisionAPI.eyemNNInstanceSegment(image, 0.15f, ref container, out tpDstImg);
log.Info($"标签分割完成,rtncode={flag}");
Bitmap b = VisionAPI.eyemCvtToBitmap(tpDstImg);
log.Info($"转换为Bitmap");
b?.Save($"labelSplit.jpg", ImageFormat.Jpeg);
log.Info($"保存分割结果图:labelSplit.jpg");
VisionAPI.eyemImageFree(ref tpDstImg);
for (int i = 0; i < 25; i++)
{
EyemImage tpDstImg1 = new EyemImage();
if (i < container.p1.Length && container.p1[i].iX != 0)
{
flag = VisionAPI.eyemAchvRotateImage(image, container.p1[i], container.p2[i], container.p3[i], container.p4[i], out tpDstImg1);
//if (flag == 0)
{
if (!Directory.Exists($"{baseDir}label{i}"))
Directory.CreateDirectory($"{baseDir}label{i}");
Bitmap lbl = VisionAPI.eyemCvtToBitmap(tpDstImg1);
lbl?.Save($"{baseDir}label{i}\\1.jpg", ImageFormat.Jpeg);
lbl?.RotateFlip(RotateFlipType.Rotate180FlipNone);
lbl?.Save($"{baseDir}label{i}\\2.jpg", ImageFormat.Jpeg);
log.Info($"获取标签图像并保存:{baseDir}label{i}");
}
VisionAPI.eyemImageFree(ref tpDstImg1);
}
}
VisionAPI.eyemImageFree(ref image);
}
log.Info($"分隔标签耗时:{sw.ElapsedMilliseconds}ms");
sw.Restart();
DirectoryInfo directoryInfo = new DirectoryInfo(baseDir);
var files = directoryInfo.GetDirectories();
if (files != null && files.Length == 0)
{
if (!Directory.Exists($"{baseDir}label"))
Directory.CreateDirectory($"{baseDir}label");
log.Info($"无分割的标签,将原图传入名为label.jpg");
byte[] bytes;
using (FileStream fs = new FileStream(imgPath, FileMode.Open))
{
bytes = new byte[fs.Length];
fs.Read(bytes, 0, bytes.Length);
}
MemoryStream memoryStream = new MemoryStream(bytes);
Bitmap bitmap = new Bitmap(memoryStream);
bitmap.Save($"{baseDir}label\\label.jpg");
}
log.Info($"开始OCR识别");
StringBuilder stringBuilder = new StringBuilder();
foreach (var dir in directoryInfo.GetDirectories())
{
float maxScore = 0f;
List<TextBlock> list = new List<TextBlock>();
foreach (var item in dir.GetFiles())
{
try
{
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($"使用识别分数【{maxScore}】");
Dictionary<int, List<TextBlock>> lines = new Dictionary<int, List<TextBlock>>();
int line = 0, idx = 0, i = 1;
while (idx < list.Count)
{
while (i < list.Count)
{
if (IsInSameLine(list[idx], list[i]))
{
if (lines.ContainsKey(line))
{
lines[line].Add(list[i]);
}
else
{
lines.Add(line, new List<TextBlock> { list[i] });
}
i++;
}
else
{
if (lines.ContainsKey(line))
{
lines[line].Add(list[idx]);
}
else
{
lines[line] = new List<TextBlock> { list[idx] };
}
line++;
idx = i;
i++;
}
}
if (i >= list.Count)
{
if (lines.ContainsKey(line))
{
lines[line].Add(list[idx]);
}
else
{
lines[line] = new List<TextBlock> { list[idx] };
}
break;
}
}
foreach (var lineTxt in lines)
{
lineTxt.Value.Sort(delegate (TextBlock x1, TextBlock x2) { if (x1.BoxPoints[0].X > x2.BoxPoints[0].X) return 1; else return -1; });
foreach (var text in lineTxt.Value)
{
log.Info($"行{lineTxt.Key}【{text.ToString()}】");
stringBuilder.Append(text.Text);
}
stringBuilder.AppendLine();
}
}
log.Info($"OCR识别完成");
sw.Stop();
log.Info("识别耗时:" + sw.ElapsedMilliseconds.ToString() + "ms");
string[] strs = stringBuilder.ToString().Replace(":\r", ":").Replace("\r", "").Split('\n');
foreach (string str in strs)
{
if (string.IsNullOrEmpty(str)) continue;
result += str + ";";
}
if (result.EndsWith(";"))
{
result = result.Substring(0, result.Length - 1);
}
log.Info($"识别结果[{strs.Length}]:" + result);
return true;
}
/// <summary>
/// 同一行间隔小于多少像素可以合并
/// </summary>
//int intervalPixel = ConfigHelper.Config.Get("IntervalPixelInSameLine", 60);
static bool IsInSameLine(TextBlock t1, TextBlock t2)
{
//同一行间隔小于多少像素可以合并
int intervalPixel = ConfigHelper.Config.Get("IntervalPixelInSameLine", 20);
int p1y1 = t1.BoxPoints[0].Y;
int p1y2 = t1.BoxPoints[1].Y;
int p1y3 = t1.BoxPoints[2].Y;
int p1y4 = t1.BoxPoints[3].Y;
int p2y1 = t2.BoxPoints[0].Y;
int p2y2 = t2.BoxPoints[1].Y;
int p2y3 = t2.BoxPoints[2].Y;
int p2y4 = t2.BoxPoints[3].Y;
int p1x0 = t1.BoxPoints[0].X;
int p1x1 = t1.BoxPoints[1].X;
int p2x0 = t2.BoxPoints[0].X;
int p2x1 = t2.BoxPoints[1].X;
if (p1x0 < p2x0)//t1在左侧
{
if (p1y2 > p2y4 || p1y3 < p2y1) return false;
if (Math.Abs(p1x1 - p2x0) > intervalPixel) return false;
else
return true;
}
else
{
if (p2y2 > p1y4 || p2y3 < p1y1) return false;
if (Math.Abs(p2x1 - p1x0) > intervalPixel) return false;
else
return true;
}
}
public static bool OCRHandleRewrite(string imgPath, out string result)
{
result = "";
sw.Restart();
if (string.IsNullOrEmpty(imgPath))
{
return false;
}
if (Directory.Exists(baseDir))
{
Directory.Delete(baseDir, true);
}
Directory.CreateDirectory(baseDir);
EyemImage image = new EyemImage();
EyemImage tpDstImg = new EyemImage();
int flag;
log.Info($"OCRHandleRewrite:准备读取图像:{imgPath}");
flag = VisionAPI.eyemImageRead(imgPath, -1, out image);
log.Info($"OCRHandleRewrite:读取图像:{imgPath},rtnCode={flag},通道数为{image.iChannels}");
///实例分割
{
RotateBox container = new RotateBox();
flag = VisionAPI.eyemNNInstanceSegment(image, 0.15f, ref container, out tpDstImg);
log.Info($"OCRHandleRewrite:标签分割完成,rtncode={flag}");
Bitmap b = VisionAPI.eyemCvtToBitmap(tpDstImg);
log.Info($"OCRHandleRewrite:转换为Bitmap");
b?.Save($"labelSplit.jpg", ImageFormat.Jpeg);
log.Info($"OCRHandleRewrite:保存分割结果图:labelSplit.jpg");
VisionAPI.eyemImageFree(ref tpDstImg);
for (int i = 0; i < 25; i++)
{
EyemImage tpDstImg1 = new EyemImage();
if (i < container.p1.Length && container.p1[i].iX != 0)
{
flag = VisionAPI.eyemAchvRotateImage(image, container.p1[i], container.p2[i], container.p3[i], container.p4[i], out tpDstImg1);
//if (flag == 0)
{
if (!Directory.Exists($"{baseDir}label{i}"))
Directory.CreateDirectory($"{baseDir}label{i}");
Bitmap lbl = VisionAPI.eyemCvtToBitmap(tpDstImg1);
lbl?.Save($"{baseDir}label{i}\\1.jpg", ImageFormat.Jpeg);
lbl?.RotateFlip(RotateFlipType.Rotate180FlipNone);
lbl?.Save($"{baseDir}label{i}\\2.jpg", ImageFormat.Jpeg);
log.Info($"OCRHandleRewrite:获取标签图像并保存:{baseDir}label{i}");
}
VisionAPI.eyemImageFree(ref tpDstImg1);
}
}
VisionAPI.eyemImageFree(ref image);
}
log.Info($"OCRHandleRewrite:分隔标签耗时:{sw.ElapsedMilliseconds}ms");
sw.Restart();
DirectoryInfo directoryInfo = new DirectoryInfo(baseDir);
var files = directoryInfo.GetDirectories();
if (files != null && files.Length == 0)
{
if (!Directory.Exists($"{baseDir}label"))
Directory.CreateDirectory($"{baseDir}label");
log.Info($"OCRHandleRewrite:无分割的标签,将原图传入名为label.jpg");
byte[] bytes;
using (FileStream fs = new FileStream(imgPath, FileMode.Open))
{
bytes = new byte[fs.Length];
fs.Read(bytes, 0, bytes.Length);
}
MemoryStream memoryStream = new MemoryStream(bytes);
Bitmap bitmap = new Bitmap(memoryStream);
bitmap.Save($"{baseDir}label\\label.jpg");
}
log.Info($"OCRHandleRewrite:开始OCR识别");
StringBuilder stringBuilder = new StringBuilder();
List<string> stringLists = new List<string>();
foreach (var dir in directoryInfo.GetDirectories())
{
float maxScore = 0f;
List<TextBlock> list = new List<TextBlock>();
foreach (var item in dir.GetFiles())
{
float score = 0f;
var imagebyte = File.ReadAllBytes(item.FullName);
var res = engine.DetectText(imagebyte);
StringBuilder sb = new StringBuilder();
res.TextBlocks.ForEach(s => { score += s.Score; sb.AppendLine(s.Text); });
//Bitmap bitmap = new Bitmap(item.FullName);
//foreach (var items in res.TextBlocks)
//{
// using (Graphics g = Graphics.FromImage(bitmap))
// {
// g.DrawPolygon(new Pen(Brushes.Red, 2), items.BoxPoints.Select(x => new PointF() { X = x.X, Y = x.Y }).ToArray());
// }
//}
//// 保存带有绘制边界框的图像
//bitmap.Save("C:\\Users\\BOO\\Desktop\\项目\\ns100\\NS100\\paddleOCR\\bin\\Debug\\LabelOut\\label0\\1_with_boxes.jpg");
//// 最后不要忘记释放Bitmap对象
//bitmap.Dispose();
log.Info($"OCRHandleRewrite:【{item.FullName}】结果:【{score}】【{sb.ToString().Replace("\r", "").Replace("\n", ";")}】");
if (score > maxScore)
{
maxScore = score;
list = res.TextBlocks;
}
}
#region ocr文字统一一行
//矩形中心点的相差阈值
int threshold = int.Parse(ConfigHelper.Config.Get("paddleOcr_RowThreshold", "10"));
List<StringIntPair> mergedTextlist = new List<StringIntPair>();
double lastYAvg = 0;
foreach (var entity in list)
{
double avgY = entity.BoxPoints.Average(a => a.Y);
if (Math.Abs(lastYAvg - avgY) < threshold)
{
mergedTextlist.Add(new StringIntPair(entity.Text, entity.BoxPoints[0].X));
}
else
{
if (mergedTextlist.Count != 0)
{
var stringdata = mergedTextlist.OrderBy(a => a.IntValue);
string str = "";
foreach (var item in stringdata)
{
str += item.StringValue + " ";
}
stringLists.Add(str);
mergedTextlist.Clear();
}
mergedTextlist.Add(new StringIntPair(entity.Text, entity.BoxPoints[0].X));
}
lastYAvg = avgY;
}
if (mergedTextlist.Count != 0)
{
var stringdata = mergedTextlist.OrderBy(a => a.IntValue);
string str = "";
foreach (var item in stringdata)
{
str += item.StringValue + " ";
}
stringLists.Add(str);
mergedTextlist.Clear();
}
log.Info($"OCRHandleRewrite:矩形中心点相差阈值为:{threshold}");
#endregion
log.Info($"OCRHandleRewrite:使用识别分数【{maxScore}】");
}
log.Info($"OCRHandleRewrite:OCR识别完成");
sw.Stop();
log.Info("OCRHandleRewrite:识别耗时:" + sw.ElapsedMilliseconds.ToString() + "ms");
string[] strs = stringLists.ToArray();
foreach (string str in strs)
{
if (string.IsNullOrWhiteSpace(str)) continue;
result += str + ";";
}
if (result.EndsWith(";"))
{
result = result.Substring(0, result.Length - 1);
}
log.Info($"OCRHandleRewrite:识别结果[{strs.Length}]:" + result);
return true;
}
}
}