diff --git a/.codegraph/.gitignore b/.codegraph/.gitignore new file mode 100644 index 0000000..9de0f16 --- /dev/null +++ b/.codegraph/.gitignore @@ -0,0 +1,16 @@ +# CodeGraph data files +# These are local to each machine and should not be committed + +# Database +*.db +*.db-wal +*.db-shm + +# Cache +cache/ + +# Logs +*.log + +# Hook markers +.dirty diff --git a/RapidOCRConsole/Assets/1.png b/RapidOCRConsole/Assets/1.png new file mode 100644 index 0000000..39c128b Binary files /dev/null and b/RapidOCRConsole/Assets/1.png differ diff --git a/RapidOCRConsole/Program.cs b/RapidOCRConsole/Program.cs index bcdb4db..5b8cb53 100644 --- a/RapidOCRConsole/Program.cs +++ b/RapidOCRConsole/Program.cs @@ -1,46 +1,110 @@  -using Emgu.CV; using RapidOCRLib; -using System.Diagnostics; -using System.Drawing.Imaging; -using System.Threading.Tasks; -var path = Path.Combine(AppContext.BaseDirectory, "models"); -//Initialize model. -OcrLite ocrEngin = new OcrLite() +var winformModels = Path.Combine(AppContext.BaseDirectory, "..", "..", "..", "..", "RapidOCRWinform", "models"); +winformModels = Path.GetFullPath(winformModels); +var detModel = Path.Combine(winformModels, "PP-OCRv6_det_medium.onnx"); +var clsModel = Path.Combine(winformModels, "ch_ppocr_mobile_v2.0_cls_infer.onnx"); +var recModel = Path.Combine(winformModels, "PP-OCRv6_rec_medium.onnx"); +var dictFile = Path.Combine(winformModels, "ppocrv6_dict.txt"); +var imgFile = Path.Combine(AppContext.BaseDirectory, "Assets", "demo.png"); + +const int padding = 50; +const float boxScoreThresh = 0.5f; +const float boxThresh = 0.3f; +const float unClipRatio = 1.6f; +const bool mostAngle = false; + +TextWriter cout = Console.Out; +void Log(string msg) { cout.WriteLine(msg); cout.Flush(); } + +int optimalThr = (int)(Environment.ProcessorCount * 0.7); +var configs = new (int ThreadNum, int MaxSideLen, bool DoAngle, bool UseGpu, string Label)[] { - DetPath = Path.Combine(path, "ch_PP-OCRv5_mobile_det.onnx"), - ClsPath = Path.Combine(path, "ch_ppocr_mobile_v2.0_cls_infer.onnx"), - RecPath = Path.Combine(path, "ch_PP-OCRv5_rec_mobile_infer.onnx"), - KeyDicPath = Path.Combine(path, "ppocrv5_dict.txt"), + (ThreadNum: optimalThr, MaxSideLen: 1024, DoAngle: true, UseGpu: false, Label: $"A[CPU]: thr={optimalThr} | max=1024 | doAngle=T (Baseline)"), + (ThreadNum: optimalThr, MaxSideLen: 800, DoAngle: false, UseGpu: false, Label: $"D[CPU]: thr={optimalThr} | max=800 | doAngle=F (最优CPU配置)"), + (ThreadNum: optimalThr, MaxSideLen: 800, DoAngle: false, UseGpu: true, Label: $"G[GPU]: max=800 | doAngle=F (与D同参数，GPU加速对比)"), }; +const int warmupRuns = 1; +const int testRuns = 2; + +Log($"Process64={Environment.Is64BitProcess}, ProcessorCount={Environment.ProcessorCount}, OS={Environment.OSVersion}"); +Log("Ready."); -await ocrEngin.InitModels(); -//get the image will be ocr. -var demoWillOCRFile = Path.Combine(AppContext.BaseDirectory, "Assets", "demo.png"); -//ocr detect -var result = ocrEngin.Detect(demoWillOCRFile, 50); -if (result != null) +var results = new List<(string Label, double AvgTotal, double Db, double Ang, double Rec, int Blocks, string Engine)>(); +foreach (var cfg in configs) { - Console.WriteLine(result.ToString()); - var img = result.BoxImg.ToBitmap(); - var desFile = Path.Combine(AppContext.BaseDirectory!, "Assets", Path.GetFileNameWithoutExtension(Path.GetRandomFileName()) + ".png")!; - #pragma warning disable CA1416 - img?.Save(desFile!); - #pragma warning restore CA1416 - if (File.Exists(desFile)) + Log(""); + Log("========================================================================="); + Log($"CONFIG {cfg.Label}"); + Log("========================================================================="); + var ocr = new OcrLite { - ProcessStartInfo psi = new ProcessStartInfo - { - FileName = desFile, - UseShellExecute = true - }; + DetPath = detModel, + ClsPath = clsModel, + RecPath = recModel, + KeyDicPath = dictFile, + ThreadNum = cfg.ThreadNum, + }; + await ocr.InitModels(ocr.DetPath, ocr.ClsPath, ocr.RecPath, ocr.KeyDicPath, cfg.ThreadNum, cfg.UseGpu, gpuDeviceId: 0); + // 初始化后立即取一次引擎状态（Detect 会把 EngineProvider 写入结果） + Log($"InitModels done. UseGpu={cfg.UseGpu}, Begin warmup ({warmupRuns})."); - Process.Start(psi); + // 预热 + for (int w = 0; w < warmupRuns; w++) + { + var r0 = ocr.Detect(imgFile, padding, cfg.MaxSideLen, boxScoreThresh, boxThresh, unClipRatio, cfg.DoAngle, mostAngle); + if (r0 != null) Log($" Warmup DetectTime={r0.DetectTime:F0}ms (Det={r0.DbNetTime:F0}ms Ang={r0.AngleNetTime:F0}ms Rec={r0.CrnnNetTime:F0}ms)"); } - Console.WriteLine("显示strResult"); - Console.WriteLine(result.StrRes); + Log("Warmup done. Begin tests."); + + List totals = new(), dbs = new(), angs = new(), recs = new(); + int blocks = 0; + string engineLine = "unknown"; + for (int i = 0; i < testRuns; i++) + { + var r = ocr.Detect(imgFile, padding, cfg.MaxSideLen, boxScoreThresh, boxThresh, unClipRatio, cfg.DoAngle, mostAngle); + if (r == null) continue; + engineLine = r.EngineProvider ?? "n/a"; + Log($" Run {i + 1}/{testRuns}: total={r.DetectTime:F0}ms Det={r.DbNetTime:F0}ms Ang={r.AngleNetTime:F0}ms Rec={r.CrnnNetTime:F0}ms Blocks={r.TextBlocks.Count} [{engineLine}]"); + totals.Add(r.DetectTime); + dbs.Add(r.DbNetTime); + angs.Add(r.AngleNetTime); + recs.Add(r.CrnnNetTime); + blocks = r.TextBlocks.Count; + } + results.Add((cfg.Label, totals.Average(), dbs.Average(), angs.Average(), recs.Average(), blocks, engineLine)); } +Log(""); +Log("#########################################################################"); +Log(" SUMMARY REPORT (demo.png, PP-OCRv6_medium, CPU vs GPU)"); +Log("#########################################################################"); +Log(string.Format("{0,-58} | {1,8} | {2,8} | {3,8} | {4,8} | {5,7} | {6,8} | {7}", + "Config", "Total(ms)", "Det(ms)", "Ang(ms)", "Rec(ms)", "Blocks", "SpeedUp", "Engine")); +Log("-------------------------------------------------------------------------"); +double baselineTotal = results[0].AvgTotal; +foreach (var r in results) +{ + double speedup = baselineTotal > 0 ? baselineTotal / r.AvgTotal : double.NaN; + Log(string.Format("{0,-58} | {1,8:F0} | {2,8:F0} | {3,8:F0} | {4,8:F0} | {5,7} | x{6:F2} | {7}", + r.Label, r.AvgTotal, r.Db, r.Ang, r.Rec, r.Blocks, speedup, r.Engine)); +} +Log("#########################################################################"); -Console.ReadKey(); +// 如果 GPU 方案仍显示为 CPU，给用户排查清单 +var gpuResult = results.FirstOrDefault(x => x.Label.StartsWith("G[")); +if (!string.IsNullOrEmpty(gpuResult.Engine) && !gpuResult.Engine.Contains("DML(")) +{ + Log(""); + Log("! GPU 方案没有真正启用 DirectML，原因已在 Engine 列打印。按下面步骤排查："); + Log(" 1) 确认 Windows 版本 ≥ 10.0.1903（Win+R → winver）"); + Log(" 2) 更新显卡驱动到最新版（NVIDIA/AMD/Intel 官网都有）"); + Log(" 3) 本项目已 PlatformTarget=x64，确认编译输出为 x64 而非 32 位"); + Log(" 4) 确认 RapidOCRLib.csproj 引用了 Microsoft.ML.OnnxRuntime.DirectML 1.24.4"); +} +else if (!string.IsNullOrEmpty(gpuResult.Engine) && gpuResult.Engine.Contains("DML(")) +{ + Log(""); + Log($">> DirectML GPU 启用成功！与最优 CPU 方案 D 对比：{baselineTotal / results[1].AvgTotal:F2}x(CPU内部) → {baselineTotal / gpuResult.AvgTotal:F2}x(含GPU)"); +} \ No newline at end of file diff --git a/RapidOCRConsole/RapidOCRConsole.csproj b/RapidOCRConsole/RapidOCRConsole.csproj index 4f8dbad..c7c79ff 100644 --- a/RapidOCRConsole/RapidOCRConsole.csproj +++ b/RapidOCRConsole/RapidOCRConsole.csproj @@ -1,10 +1,13 @@ - + Exe net10.0 enable enable + + x64 + false diff --git a/RapidOCRLib/AngleNet.cs b/RapidOCRLib/AngleNet.cs index 9e2af73..790cfff 100644 --- a/RapidOCRLib/AngleNet.cs +++ b/RapidOCRLib/AngleNet.cs @@ -1,4 +1,4 @@ -using Emgu.CV; +using Emgu.CV; using Emgu.CV.CvEnum; using Emgu.CV.Structure; using Microsoft.ML.OnnxRuntime; @@ -22,28 +22,29 @@ class AngleNet private InferenceSession angleNet; private List inputNames; + public string ProviderInfo { get; private set; } = "NotInitialized"; + public AngleNet() { } ~AngleNet() { - angleNet.Dispose(); + angleNet?.Dispose(); } - public async Task InitModel(string path, int numThread) + public async Task InitModel(string path, int numThread, bool useGpu = false, int gpuDeviceId = 0) { try { - SessionOptions op = new SessionOptions(); - op.GraphOptimizationLevel = GraphOptimizationLevel.ORT_ENABLE_EXTENDED; - op.InterOpNumThreads = numThread; - op.IntraOpNumThreads = numThread; + SessionOptions op = OcrUtils.CreateSessionOptions(OcrUtils.NetKind.Classification, numThread, useGpu, gpuDeviceId, out var providerInfo); + ProviderInfo = providerInfo; + Console.WriteLine($"[AngleNet] Loading model with provider: {providerInfo}"); angleNet = new InferenceSession(path, op); inputNames = angleNet.InputMetadata.Keys.ToList(); // 从 ONNX 模型 metadata 读取输入尺寸，兼容 v2 (192x48) 和 v5 (160x80) var dims = angleNet.InputMetadata.First().Value.Dimensions; - _dstHeight = dims[2]; - _dstWidth = dims[3]; + _dstHeight = dims.Length > 2 && dims[2] > 0 ? dims[2] : 48; + _dstWidth = dims.Length > 3 && dims[3] > 0 ? dims[3] : 192; await Task.CompletedTask; } diff --git a/RapidOCRLib/CrnnNet.cs b/RapidOCRLib/CrnnNet.cs index 7c786d2..9c98b06 100644 --- a/RapidOCRLib/CrnnNet.cs +++ b/RapidOCRLib/CrnnNet.cs @@ -1,4 +1,4 @@ -using Emgu.CV; +using Emgu.CV; using Microsoft.ML.OnnxRuntime; using Microsoft.ML.OnnxRuntime.Tensors; using RapidOCRLib.Models; @@ -23,6 +23,8 @@ class CrnnNet private List keys; private List inputNames; + public string ProviderInfo { get; private set; } = "NotInitialized"; + public CrnnNet() { } ~CrnnNet() @@ -30,17 +32,16 @@ public CrnnNet() { } crnnNet?.Dispose(); } - public async Task InitModel(string path, string keysPath, int numThread) + public async Task InitModel(string path, string keysPath, int numThread, bool useGpu = false, int gpuDeviceId = 0) { try { - SessionOptions op = new SessionOptions(); - op.GraphOptimizationLevel = GraphOptimizationLevel.ORT_ENABLE_EXTENDED; - op.InterOpNumThreads = numThread; - op.IntraOpNumThreads = numThread; + SessionOptions op = OcrUtils.CreateSessionOptions(OcrUtils.NetKind.Recognition, numThread, useGpu, gpuDeviceId, out var providerInfo); + ProviderInfo = providerInfo; + Console.WriteLine($"[CrnnNet] Loading model with provider: {providerInfo}"); crnnNet = new InferenceSession(path, op); inputNames = crnnNet.InputMetadata.Keys.ToList(); - keys = InitKeys(keysPath); + keys = InitKeys(crnnNet, keysPath); await Task.CompletedTask; } catch (Exception ex) @@ -49,7 +50,36 @@ public async Task InitModel(string path, string keysPath, int numThread) throw; } } - private List InitKeys(string path) + + private List InitKeys(InferenceSession session, string keysPath) + { + // PP-OCRv5/v6 rec models embed the character dictionary in ONNX metadata. + if (session.ModelMetadata.CustomMetadataMap.TryGetValue("character", out string characters)) + { + List keys = new List(); + keys.Add("#"); + string[] lines = characters.Split('\n'); + int count = lines.Length; + if (count > 0 && lines[count - 1].Length == 0) + { + count--; + } + for (int i = 0; i < count; i++) + { + keys.Add(lines[i]); + } + keys.Add(" "); + Console.WriteLine($"keys Size = {keys.Count}"); + return keys; + } + if (string.IsNullOrWhiteSpace(keysPath)) + { + throw new Exception("The rec model does not embed a character dictionary and no key dictory file was provided."); + } + return InitKeysFromFile(keysPath); + } + + private List InitKeysFromFile(string path) { StreamReader sr = new StreamReader(path, Encoding.UTF8); List keys = new List(); @@ -149,4 +179,4 @@ private TextLine ScoreToTextLine(float[] srcData, int h, int w) } } -} \ No newline at end of file +} diff --git a/RapidOCRLib/DbNet.cs b/RapidOCRLib/DbNet.cs index 8c89475..5d71668 100644 --- a/RapidOCRLib/DbNet.cs +++ b/RapidOCRLib/DbNet.cs @@ -1,4 +1,4 @@ -using Clipper2Lib; +using Clipper2Lib; using Emgu.CV; using Emgu.CV.CvEnum; using Emgu.CV.Structure; @@ -23,21 +23,22 @@ class DbNet private List inputNames; + public string ProviderInfo { get; private set; } = "NotInitialized"; + public DbNet() { } ~DbNet() { - dbNet.Dispose(); + dbNet?.Dispose(); } - public async Task InitModel(string path, int numThread) + public async Task InitModel(string path, int numThread, bool useGpu = false, int gpuDeviceId = 0) { try { - SessionOptions op = new SessionOptions(); - op.GraphOptimizationLevel = GraphOptimizationLevel.ORT_ENABLE_EXTENDED; - op.InterOpNumThreads = numThread; - op.IntraOpNumThreads = numThread; + SessionOptions op = OcrUtils.CreateSessionOptions(OcrUtils.NetKind.Detection, numThread, useGpu, gpuDeviceId, out var providerInfo); + ProviderInfo = providerInfo; + Console.WriteLine($"[DbNet] Loading model with provider: {providerInfo}"); dbNet = new InferenceSession(path, op); inputNames = dbNet.InputMetadata.Keys.ToList(); await Task.CompletedTask; diff --git a/RapidOCRLib/Models/ModeOptions.cs b/RapidOCRLib/Models/ModeOptions.cs index e3e85df..6aa480b 100644 --- a/RapidOCRLib/Models/ModeOptions.cs +++ b/RapidOCRLib/Models/ModeOptions.cs @@ -1,6 +1,4 @@ -using System; -using System.Collections.Generic; -using System.Text; +using System; namespace RapidOCRLib.Models { @@ -26,5 +24,13 @@ public class ModeOptions /// cpu thread number,default is 70% of toal logic cpu core numbers. /// public int ThreadNum { get; set; } = (int)(Environment.ProcessorCount * 0.7); + /// + /// Whether to use GPU acceleration via DirectML (Windows built-in DX12 GPU acceleration). + /// + public bool UseGpu { get; set; } = false; + /// + /// GPU device ID to use when UseGpu is enabled. Default is 0. + /// + public int GpuDeviceId { get; set; } = 0; } } diff --git a/RapidOCRLib/Models/OcrResult.cs b/RapidOCRLib/Models/OcrResult.cs index 0b51c43..c4fe4e2 100644 --- a/RapidOCRLib/Models/OcrResult.cs +++ b/RapidOCRLib/Models/OcrResult.cs @@ -1,4 +1,4 @@ -using Emgu.CV; +using Emgu.CV; using System.Collections.Generic; using System.Drawing; using System.Text; @@ -70,16 +70,26 @@ public sealed class OcrResult { public List TextBlocks { get; set; } public float DbNetTime { get; set; } + public float AngleNetTime { get; set; } + public float CrnnNetTime { get; set; } + public float PreprocessTime { get; set; } + public float PostprocessTime { get; set; } public Mat BoxImg { get; set; } public float DetectTime { get; set; } public string StrRes { get; set; } + /// 当前推理使用的后端引擎信息，如 "DML(device 0)" / "CPU"。 + public string EngineProvider { get; set; } = "Unknown"; public override string ToString() { StringBuilder sb = new StringBuilder(); - sb.AppendLine("OcrResult"); + sb.AppendLine($"OcrResult [Engine: {EngineProvider}]"); TextBlocks.ForEach(x => sb.Append(x)); + sb.AppendLine($"├─PreprocessTime({PreprocessTime}ms)"); sb.AppendLine($"├─DbNetTime({DbNetTime}ms)"); + sb.AppendLine($"├─AngleNetTime({AngleNetTime}ms)"); + sb.AppendLine($"├─CrnnNetTime({CrnnNetTime}ms)"); + sb.AppendLine($"├─PostprocessTime({PostprocessTime}ms)"); sb.AppendLine($"├─DetectTime({DetectTime}ms)"); sb.AppendLine($"└─StrRes({StrRes})"); return sb.ToString(); diff --git a/RapidOCRLib/OcrLite.cs b/RapidOCRLib/OcrLite.cs index 28d430e..81156c9 100644 --- a/RapidOCRLib/OcrLite.cs +++ b/RapidOCRLib/OcrLite.cs @@ -1,4 +1,4 @@ -using Emgu.CV; +using Emgu.CV; using Emgu.CV.CvEnum; using Emgu.CV.Reg; using Emgu.CV.Structure; @@ -19,6 +19,7 @@ public partial class OcrLite private DbNet dbNet; private AngleNet angleNet; private CrnnNet crnnNet; + private bool hasAngleNet; /// /// The path of the Det model file. @@ -63,13 +64,31 @@ public OcrLite(string detPath, string clsPath, string recPath, string keysPath) _CheckModelFilesExist(); } + /// + /// Whether GPU acceleration is enabled for this engine instance. + /// + public bool UseGpu { get; private set; } + + /// + /// The GPU device ID used when UseGpu is enabled. + /// + public int GpuDeviceId { get; private set; } + + /// + /// 当前引擎实例的三个子网执行后端（Det / Angle / Rec）。 + /// 在 InitModels 完成后即可读取；示例： + /// "Det:DML(device 0) / Angle:DML(device 0) / Rec:DML(device 0)" + /// "Det:CPU (DML init failed: xxx) / Angle:CPU / Rec:CPU" + /// + public string EngineStatus { get; private set; } = "未初始化"; + /// /// Initialize OCR Engine /// /// public async Task InitModels() { - await InitModels(this.DetPath, this.ClsPath, this.RecPath, this.KeyDicPath, 0); + await InitModels(this.DetPath, this.ClsPath, this.RecPath, this.KeyDicPath, 0, false, 0); } /// @@ -79,7 +98,7 @@ public async Task InitModels() /// public async Task InitModels(ModeOptions options) { - await InitModels(options.DetPath, options.ClsPath, options.RecPath, options.KeyDicPath, options.ThreadNum); + await InitModels(options.DetPath, options.ClsPath, options.RecPath, options.KeyDicPath, options.ThreadNum, options.UseGpu, options.GpuDeviceId); } /// @@ -90,8 +109,10 @@ public async Task InitModels(ModeOptions options) /// The path of the Rec model file. /// The path of the Key dictionary file. /// The number of CPU threads to use. If set to 0 (the default), the system's logical CPU 70% cores will be used. + /// Whether to use GPU (DirectML) acceleration. Default is false. + /// GPU device ID to use when useGpu is enabled. Default is 0. /// - public async Task InitModels(string detPath, string clsPath, string recPath, string keysPath, int numThread = 0) + public async Task InitModels(string detPath, string clsPath, string recPath, string keysPath, int numThread = 0, bool useGpu = false, int gpuDeviceId = 0) { try { @@ -101,9 +122,22 @@ public async Task InitModels(string detPath, string clsPath, string recPath, str { ThreadNum = numThread; } - await dbNet.InitModel(this.DetPath, ThreadNum); - await angleNet.InitModel(this.ClsPath, ThreadNum); - await crnnNet.InitModel(this.RecPath, keysPath, ThreadNum); + UseGpu = useGpu; + GpuDeviceId = gpuDeviceId; + await dbNet.InitModel(this.DetPath, ThreadNum, useGpu, gpuDeviceId); + if (!string.IsNullOrWhiteSpace(this.ClsPath)) + { + await angleNet.InitModel(this.ClsPath, ThreadNum, useGpu, gpuDeviceId); + hasAngleNet = true; + } + else + { + hasAngleNet = false; + } + await crnnNet.InitModel(this.RecPath, keysPath, ThreadNum, useGpu, gpuDeviceId); + + string angInfo = hasAngleNet ? angleNet.ProviderInfo : "(N/A)"; + EngineStatus = $"Det:{dbNet.ProviderInfo} / Angle:{angInfo} / Rec:{crnnNet.ProviderInfo}"; } catch (Exception ex) { @@ -126,9 +160,15 @@ private void _InitModelFiles(string detPath, string clsPath, string recPath, str private void _CheckModelFilesExist() { _ = File.Exists(this.DetPath) ? true : throw new Exception("The det model file does not exist."); - _ = File.Exists(this.ClsPath) ? true : throw new Exception("The cls model file does not exist."); + if (!string.IsNullOrWhiteSpace(this.ClsPath)) + { + _ = File.Exists(this.ClsPath) ? true : throw new Exception("The cls model file does not exist."); + } _ = File.Exists(this.RecPath) ? true : throw new Exception("The rec model file does not exist."); - _ = File.Exists(this.KeyDicPath) ? true : throw new Exception("The key dictory file does not exist."); + if (!string.IsNullOrWhiteSpace(this.KeyDicPath)) + { + _ = File.Exists(this.KeyDicPath) ? true : throw new Exception("The key dictory file does not exist."); + } } /// @@ -269,21 +309,34 @@ private OcrResult __DetectCore(Mat src, Rectangle originRect, ScaleParam scale, int thickness = OcrUtils.GetThickness(src); Console.WriteLine("=====Start detect====="); var startTicks = DateTime.Now.Ticks; + long tPrev; Console.WriteLine("---------- step: dbNet getTextBoxes ----------"); + tPrev = DateTime.Now.Ticks; var textBoxes = dbNet.GetTextBoxes(src, scale, boxScoreThresh, boxThresh, unClipRatio); - var dbNetTime = (DateTime.Now.Ticks - startTicks) / 10000F; + var dbNetTime = (DateTime.Now.Ticks - tPrev) / 10000F; Console.WriteLine($"TextBoxesSize({textBoxes.Count})"); textBoxes.ForEach(x => Console.WriteLine(x)); - //Console.WriteLine($"dbNetTime({dbNetTime}ms)"); Console.WriteLine("---------- step: drawTextBoxes ----------"); + tPrev = DateTime.Now.Ticks; OcrUtils.DrawTextBoxes(textBoxPaddingImg, textBoxes, thickness); - //CvInvoke.Imshow("ResultPadding", textBoxPaddingImg); + var drawBoxesTime = (DateTime.Now.Ticks - tPrev) / 10000F; //---------- getPartImages ---------- + tPrev = DateTime.Now.Ticks; List partImages = OcrUtils.GetPartImages(src, textBoxes); + // Skip degenerate detections whose crops are empty; the angle and recognition nets cannot process them. + for (int i = partImages.Count - 1; i >= 0; i--) + { + if (partImages[i].IsEmpty || partImages[i].Rows == 0 || partImages[i].Cols == 0) + { + partImages.RemoveAt(i); + textBoxes.RemoveAt(i); + } + } + var cropPartTime = (DateTime.Now.Ticks - tPrev) / 10000F; if (isPartImg) { for (int i = 0; i < partImages.Count; i++) @@ -292,11 +345,15 @@ private OcrResult __DetectCore(Mat src, Rectangle originRect, ScaleParam scale, } } + float preprocessTime = (drawBoxesTime + cropPartTime); + Console.WriteLine("---------- step: angleNet getAngles ----------"); - List angles = angleNet.GetAngles(partImages, doAngle, mostAngle); - //angles.ForEach(x => Console.WriteLine(x)); + tPrev = DateTime.Now.Ticks; + List angles = angleNet.GetAngles(partImages, doAngle && hasAngleNet, mostAngle); + var angleNetTime = (DateTime.Now.Ticks - tPrev) / 10000F; //Rotate partImgs + tPrev = DateTime.Now.Ticks; for (int i = 0; i < partImages.Count; ++i) { if (angles[i].Index == 1) @@ -308,11 +365,14 @@ private OcrResult __DetectCore(Mat src, Rectangle originRect, ScaleParam scale, CvInvoke.Imshow($"DebugImg({i})", partImages[i]); } } + var rotatePartTime = (DateTime.Now.Ticks - tPrev) / 10000F; Console.WriteLine("---------- step: crnnNet getTextLines ----------"); + tPrev = DateTime.Now.Ticks; List textLines = crnnNet.GetTextLines(partImages); - //textLines.ForEach(x => Console.WriteLine(x)); + var crnnNetTime = (DateTime.Now.Ticks - tPrev) / 10000F; + tPrev = DateTime.Now.Ticks; List textBlocks = new List(); for (int i = 0; i < textLines.Count; ++i) { @@ -328,11 +388,6 @@ private OcrResult __DetectCore(Mat src, Rectangle originRect, ScaleParam scale, textBlock.BlockTime = angles[i].Time + textLines[i].Time; textBlocks.Add(textBlock); } - //textBlocks.ForEach(x => Console.WriteLine(x)); - - var endTicks = DateTime.Now.Ticks; - var fullDetectTime = (endTicks - startTicks) / 10000F; - //Console.WriteLine($"fullDetectTime({fullDetectTime}ms)"); //cropped to original size Mat boxImg = new Mat(textBoxPaddingImg, originRect); @@ -340,12 +395,25 @@ private OcrResult __DetectCore(Mat src, Rectangle originRect, ScaleParam scale, StringBuilder strRes = new StringBuilder(); textBlocks.ForEach(x => strRes.AppendLine(x.Text)); + var postprocessTime = (rotatePartTime + (DateTime.Now.Ticks - tPrev)) / 10000F; + + var endTicks = DateTime.Now.Ticks; + var fullDetectTime = (endTicks - startTicks) / 10000F; + + // 用三个子网的实际 provider 拼接显示；若不一致（比如某子网回退CPU）也能一眼看到 + string provider = $"Det:{dbNet.ProviderInfo} / Angle:{angleNet.ProviderInfo} / Rec:{crnnNet.ProviderInfo}"; + OcrResult ocrResult = new OcrResult(); ocrResult.TextBlocks = textBlocks; ocrResult.DbNetTime = dbNetTime; + ocrResult.AngleNetTime = angleNetTime; + ocrResult.CrnnNetTime = crnnNetTime; + ocrResult.PreprocessTime = preprocessTime; + ocrResult.PostprocessTime = postprocessTime; ocrResult.BoxImg = boxImg; ocrResult.DetectTime = fullDetectTime; ocrResult.StrRes = strRes.ToString(); + ocrResult.EngineProvider = provider; return ocrResult; } diff --git a/RapidOCRLib/OcrUtils.cs b/RapidOCRLib/OcrUtils.cs index 0e1ef5c..4121c1b 100644 --- a/RapidOCRLib/OcrUtils.cs +++ b/RapidOCRLib/OcrUtils.cs @@ -1,25 +1,166 @@ -using Emgu.CV; +using Emgu.CV; using Emgu.CV.CvEnum; using Emgu.CV.Structure; +using Microsoft.ML.OnnxRuntime; using Microsoft.ML.OnnxRuntime.Tensors; using RapidOCRLib.Models; using System; using System.Collections.Generic; using System.Drawing; using System.Linq; +using System.Runtime.InteropServices; namespace RapidOCRLib { class OcrUtils { + /// ONNX 推理子网类型，用于区分执行模式/线程策略。 + public enum NetKind + { + /// 文本检测：输入张量大、算子多，适合 ORT_PARALLEL。 + Detection, + /// 方向分类：输入张量小、调用频繁，适合 ORT_SEQUENTIAL 避免调度开销。 + Classification, + /// 文本识别：输入小但文本块多时顺序推理频繁，用 SEQUENTIAL + 较少线程。 + Recognition, + } + + /// + /// 创建并配置经过性能优化的 SessionOptions。 + /// + public static SessionOptions CreateSessionOptions(NetKind kind, int numThread, bool useGpu, int gpuDeviceId, out string providerInfo) + { + var op = new SessionOptions(); + op.LogSeverityLevel = OrtLoggingLevel.ORT_LOGGING_LEVEL_ERROR; + op.GraphOptimizationLevel = GraphOptimizationLevel.ORT_ENABLE_ALL; + + // CPU 经验值（28核实测基准上校准）： + // - Det 大输入图：PARALLEL + 用满 numThread。 + // - Angle 分类器(192x48)：SEQUENTIAL + 2 线程。 + // - Rec 识别器：PARALLEL + 12 线程。 + // 注意：DirectML **强制要求** ORT_SEQUENTIAL + EnableMemoryPattern=false， + // 若设 PARALLEL 或 MemoryPattern=true 则 DML EP 静默失败回退 CPU！ + int inter, intra; + switch (kind) + { + case NetKind.Classification: + intra = Math.Max(1, Math.Min(numThread, 2)); + inter = 1; + op.ExecutionMode = ExecutionMode.ORT_SEQUENTIAL; + break; + case NetKind.Recognition: + intra = Math.Max(1, Math.Min(numThread, 12)); + inter = Math.Max(1, Math.Min(numThread / 2, 4)); + op.ExecutionMode = ExecutionMode.ORT_PARALLEL; + break; + default: // Detection + intra = Math.Max(1, numThread); + inter = Math.Max(1, Math.Min(numThread / 2, 8)); + op.ExecutionMode = ExecutionMode.ORT_PARALLEL; + break; + } + op.InterOpNumThreads = inter; + op.IntraOpNumThreads = intra; + op.EnableMemoryPattern = true; + + providerInfo = "CPU"; + if (useGpu) + { + if (!Environment.Is64BitProcess) + { + providerInfo = "CPU (DirectML only supports x64; set PlatformTarget=x64 & Prefer32Bit=false)"; + } + else + { + try + { + // DirectML 强制要求：ExecutionMode 必须是 SEQUENTIAL，EnableMemoryPattern 必须为 false。 + // 不满足这两个条件时 DML EP 不会报错但推理会静默回退到 CPU，这就是"时间没降"的根因。 + op.ExecutionMode = ExecutionMode.ORT_SEQUENTIAL; + op.EnableMemoryPattern = false; + // DirectML 基于 DirectX 12，Windows 10 1903+ 内置， + // N卡/A卡/Intel核显全兼容，无需装 CUDA/cuDNN。 + op.AppendExecutionProvider_DML(gpuDeviceId); + providerInfo = $"DML(device {gpuDeviceId})"; + } + catch (Exception gpuEx) + { + providerInfo = $"CPU (DML init failed: {gpuEx.Message})"; + } + } + } + + return op; + } + public static Tensor SubstractMeanNormalize(Mat src, float[] meanVals, float[] normVals) { int cols = src.Cols; int rows = src.Rows; int channels = src.NumberOfChannels; + int plane = rows * cols; + + if (src.Depth == DepthType.Cv8U && channels == 3) + { + long step = src.Step; + IntPtr dataPtr = src.DataPointer; + int rowBytes = cols * 3; + + // 先用Marshal.Copy把像素搬运到托管byte[]（避免直接操作非托管内存的不确定性） + byte[] bgr; + if (step == rowBytes) + { + int total = rows * rowBytes; + bgr = new byte[total]; + Marshal.Copy(dataPtr, bgr, 0, total); + } + else + { + bgr = new byte[rows * rowBytes]; + for (int r = 0; r < rows; r++) + { + Marshal.Copy(IntPtr.Add(dataPtr, (int)(r * step)), bgr, r * rowBytes, rowBytes); + } + } + + // 自己分配float[]并用fixed固定，防止GC移动数组导致写野指针（AV的另一常见诱因） + float[] floats = new float[1 * channels * rows * cols]; + unsafe + { + fixed (byte* pIn = bgr) + fixed (float* pOut = floats) + { + float nr = normVals[0], ng = normVals[1], nb = normVals[2]; + float mr = meanVals[0] * nr, mg = meanVals[1] * ng, mb = meanVals[2] * nb; + float* pR = pOut; + float* pG = pOut + plane; + float* pB = pOut + 2 * plane; + + for (int r = 0; r < rows; r++) + { + byte* row = pIn + r * rowBytes; + int rowBase = r * cols; + for (int c = 0; c < cols; c++) + { + int i = c * 3; + byte bv = row[i]; + byte gv = row[i + 1]; + byte rv = row[i + 2]; + int idx = rowBase + c; + pR[idx] = rv * nr - mr; + pG[idx] = gv * ng - mg; + pB[idx] = bv * nb - mb; + } + } + } + } + return new DenseTensor(floats, new[] { 1, channels, rows, cols }, false); + } + + // 非 Cv8U 或非3通道，走原来的 Image 方式兜底 + var inputTensor = new DenseTensor(new[] { 1, channels, rows, cols }); Image srcImg = src.ToImage(); byte[,,] imgData = srcImg.Data; - Tensor inputTensor = new DenseTensor(new[] { 1, channels, rows, cols }); for (int r = 0; r < rows; r++) { for (int c = 0; c < cols; c++) @@ -27,7 +168,7 @@ public static Tensor SubstractMeanNormalize(Mat src, float[] meanVals, fl for (int ch = 0; ch < channels; ch++) { var value = imgData[r, c, ch]; - float data = (float)(value * normVals[ch] - meanVals[ch] * normVals[ch]); + float data = (value * normVals[ch] - meanVals[ch] * normVals[ch]); inputTensor[0, ch, r, c] = data; } } @@ -79,8 +220,6 @@ public static List GetPartImages(Mat src, List textBoxes) for (int i = 0; i < textBoxes.Count; ++i) { Mat partImg = GetRotateCropImage(src, textBoxes[i].Points); - //Mat partImg = new Mat(); - //GetRoiFromBox(src, partImg, textBoxes[i].Points); partImages.Add(partImg); } return partImages; @@ -164,4 +303,3 @@ public static Mat MatRotateClockWise90(Mat src) } } - diff --git a/RapidOCRLib/RapidOCRLib.csproj b/RapidOCRLib/RapidOCRLib.csproj index 010922e..381cb66 100644 --- a/RapidOCRLib/RapidOCRLib.csproj +++ b/RapidOCRLib/RapidOCRLib.csproj @@ -1,8 +1,9 @@ - + - netstandard2.0;net8.0 + netstandard2.0;net8.0;net10.0 AnyCPU + true @@ -11,7 +12,7 @@ RapidAI icon.png RapidAI - RapidOCR is a completely open-source, free OCR tool that supports multi-platform, multi-language operation and rapid offline deployment. + RapidOCR is a completely open-source free OCR tool that supports multi-platform, multi-language operation and rapid offline deployment. Copyright 2026 RapidAI https://github.com/RapidAI/RapidOCRCSharp git @@ -26,10 +27,24 @@ - + + + + + + + + + + + diff --git a/RapidOCRWinform/FormOcr.Designer.cs b/RapidOCRWinform/FormOcr.Designer.cs index 7f5b7fe..f6e1153 100644 --- a/RapidOCRWinform/FormOcr.Designer.cs +++ b/RapidOCRWinform/FormOcr.Designer.cs @@ -1,4 +1,4 @@ -namespace RapidOCRWinform +namespace RapidOCRWinform { partial class FormOcr { @@ -62,6 +62,9 @@ private void InitializeComponent() tableLayoutPanel1 = new TableLayoutPanel(); partImgCheckBox = new CheckBox(); debugCheckBox = new CheckBox(); + useGpuCheckBox = new CheckBox(); + label13 = new Label(); + gpuDeviceIdNumeric = new NumericUpDown(); panel1 = new Panel(); pictureBox = new PictureBox(); detectBtn = new Button(); @@ -74,6 +77,7 @@ private void InitializeComponent() ((System.ComponentModel.ISupportInitialize)imgResizeNumeric).BeginInit(); ((System.ComponentModel.ISupportInitialize)paddingNumeric).BeginInit(); ((System.ComponentModel.ISupportInitialize)boxScoreThreshNumeric).BeginInit(); + ((System.ComponentModel.ISupportInitialize)gpuDeviceIdNumeric).BeginInit(); tableLayoutPanel3.SuspendLayout(); tableLayoutPanel1.SuspendLayout(); panel1.SuspendLayout(); @@ -216,7 +220,7 @@ private void InitializeComponent() detNameTextBox.Name = "detNameTextBox"; detNameTextBox.Size = new Size(732, 27); detNameTextBox.TabIndex = 12; - detNameTextBox.Text = "ch_PP-OCRv5_mobile_det.onnx"; + detNameTextBox.Text = "PP-OCRv6_det_medium.onnx"; // // label10 // @@ -254,7 +258,7 @@ private void InitializeComponent() recNameTextBox.Name = "recNameTextBox"; recNameTextBox.Size = new Size(732, 27); recNameTextBox.TabIndex = 16; - recNameTextBox.Text = "ch_PP-OCRv5_rec_mobile_infer.onnx"; + recNameTextBox.Text = "PP-OCRv6_rec_medium.onnx"; // // label12 // @@ -273,7 +277,7 @@ private void InitializeComponent() keysNameTextBox.Name = "keysNameTextBox"; keysNameTextBox.Size = new Size(732, 27); keysNameTextBox.TabIndex = 18; - keysNameTextBox.Text = "ppocrv5_dict.txt"; + keysNameTextBox.Text = "ppocrv6_dict.txt"; // // label5 // @@ -324,8 +328,8 @@ private void InitializeComponent() // doAngleCheckBox // doAngleCheckBox.AutoSize = true; - doAngleCheckBox.Checked = true; - doAngleCheckBox.CheckState = CheckState.Checked; + doAngleCheckBox.Checked = false; + doAngleCheckBox.CheckState = CheckState.Unchecked; doAngleCheckBox.Location = new Point(6, 272); doAngleCheckBox.Margin = new Padding(4, 5, 4, 5); doAngleCheckBox.Name = "doAngleCheckBox"; @@ -423,7 +427,7 @@ private void InitializeComponent() tableLayoutPanel3.Name = "tableLayoutPanel3"; tableLayoutPanel3.RowCount = 1; tableLayoutPanel3.RowStyles.Add(new RowStyle(SizeType.Percent, 100F)); - tableLayoutPanel3.Size = new Size(1135, 447); + tableLayoutPanel3.Size = new Size(1135, 550); tableLayoutPanel3.TabIndex = 16; // // strRestTextBox @@ -457,10 +461,13 @@ private void InitializeComponent() tableLayoutPanel1.Controls.Add(mostAngleCheckBox, 1, 5); tableLayoutPanel1.Controls.Add(partImgCheckBox, 0, 6); tableLayoutPanel1.Controls.Add(debugCheckBox, 1, 6); + tableLayoutPanel1.Controls.Add(useGpuCheckBox, 0, 7); + tableLayoutPanel1.Controls.Add(label13, 0, 8); + tableLayoutPanel1.Controls.Add(gpuDeviceIdNumeric, 1, 8); tableLayoutPanel1.Location = new Point(4, 5); tableLayoutPanel1.Margin = new Padding(4, 5, 4, 5); tableLayoutPanel1.Name = "tableLayoutPanel1"; - tableLayoutPanel1.RowCount = 8; + tableLayoutPanel1.RowCount = 10; tableLayoutPanel1.RowStyles.Add(new RowStyle(SizeType.Absolute, 51F)); tableLayoutPanel1.RowStyles.Add(new RowStyle(SizeType.Absolute, 51F)); tableLayoutPanel1.RowStyles.Add(new RowStyle(SizeType.Absolute, 51F)); @@ -469,7 +476,9 @@ private void InitializeComponent() tableLayoutPanel1.RowStyles.Add(new RowStyle(SizeType.Absolute, 51F)); tableLayoutPanel1.RowStyles.Add(new RowStyle(SizeType.Absolute, 51F)); tableLayoutPanel1.RowStyles.Add(new RowStyle(SizeType.Absolute, 51F)); - tableLayoutPanel1.Size = new Size(246, 433); + tableLayoutPanel1.RowStyles.Add(new RowStyle(SizeType.Absolute, 51F)); + tableLayoutPanel1.RowStyles.Add(new RowStyle(SizeType.Absolute, 51F)); + tableLayoutPanel1.Size = new Size(246, 535); tableLayoutPanel1.TabIndex = 2; // // partImgCheckBox @@ -496,6 +505,38 @@ private void InitializeComponent() debugCheckBox.UseVisualStyleBackColor = true; debugCheckBox.CheckedChanged += debugCheckBox_CheckedChanged; // + // useGpuCheckBox + // + useGpuCheckBox.AutoSize = true; + useGpuCheckBox.Location = new Point(6, 377); + useGpuCheckBox.Margin = new Padding(4, 5, 4, 5); + useGpuCheckBox.Name = "useGpuCheckBox"; + useGpuCheckBox.Size = new Size(86, 24); + useGpuCheckBox.TabIndex = 30; + useGpuCheckBox.Text = "UseGpu"; + useGpuCheckBox.UseVisualStyleBackColor = true; + // + // label13 + // + label13.AutoSize = true; + label13.Location = new Point(6, 429); + label13.Margin = new Padding(4, 0, 4, 0); + label13.Name = "label13"; + label13.Size = new Size(100, 20); + label13.TabIndex = 31; + label13.Text = "GpuDeviceId"; + // + // gpuDeviceIdNumeric + // + gpuDeviceIdNumeric.Location = new Point(128, 434); + gpuDeviceIdNumeric.Margin = new Padding(4, 5, 4, 5); + gpuDeviceIdNumeric.Maximum = new decimal(new int[] { 8, 0, 0, 0 }); + gpuDeviceIdNumeric.Minimum = new decimal(new int[] { 0, 0, 0, 0 }); + gpuDeviceIdNumeric.Name = "gpuDeviceIdNumeric"; + gpuDeviceIdNumeric.Size = new Size(111, 27); + gpuDeviceIdNumeric.TabIndex = 32; + gpuDeviceIdNumeric.Value = new decimal(new int[] { 0, 0, 0, 0 }); + // // panel1 // panel1.AutoScroll = true; @@ -545,7 +586,7 @@ private void InitializeComponent() // ocrResultTextBox.Anchor = AnchorStyles.Top | AnchorStyles.Bottom | AnchorStyles.Left | AnchorStyles.Right; ocrResultTextBox.Font = new Font("宋体", 9F); - ocrResultTextBox.Location = new Point(21, 839); + ocrResultTextBox.Location = new Point(21, 942); ocrResultTextBox.Margin = new Padding(4, 5, 4, 5); ocrResultTextBox.Multiline = true; ocrResultTextBox.Name = "ocrResultTextBox"; @@ -557,7 +598,7 @@ private void InitializeComponent() // AutoScaleDimensions = new SizeF(9F, 20F); AutoScaleMode = AutoScaleMode.Font; - ClientSize = new Size(1176, 1268); + ClientSize = new Size(1176, 1370); Controls.Add(tableLayoutPanel2); Controls.Add(tableLayoutPanel3); Controls.Add(detectBtn); @@ -575,6 +616,7 @@ private void InitializeComponent() ((System.ComponentModel.ISupportInitialize)imgResizeNumeric).EndInit(); ((System.ComponentModel.ISupportInitialize)paddingNumeric).EndInit(); ((System.ComponentModel.ISupportInitialize)boxScoreThreshNumeric).EndInit(); + ((System.ComponentModel.ISupportInitialize)gpuDeviceIdNumeric).EndInit(); tableLayoutPanel3.ResumeLayout(false); tableLayoutPanel3.PerformLayout(); tableLayoutPanel1.ResumeLayout(false); @@ -622,6 +664,9 @@ private void InitializeComponent() private System.Windows.Forms.TableLayoutPanel tableLayoutPanel1; private System.Windows.Forms.CheckBox partImgCheckBox; private System.Windows.Forms.CheckBox debugCheckBox; + private System.Windows.Forms.CheckBox useGpuCheckBox; + private System.Windows.Forms.Label label13; + private System.Windows.Forms.NumericUpDown gpuDeviceIdNumeric; private System.Windows.Forms.Button detectBtn; private System.Windows.Forms.Button initBtn; private System.Windows.Forms.TextBox ocrResultTextBox; diff --git a/RapidOCRWinform/FormOcr.cs b/RapidOCRWinform/FormOcr.cs index 1bbfc18..3190258 100644 --- a/RapidOCRWinform/FormOcr.cs +++ b/RapidOCRWinform/FormOcr.cs @@ -1,4 +1,4 @@ -using Emgu.CV; +using Emgu.CV; using Emgu.CV.CvEnum; using RapidOCRLib; using RapidOCRLib.Models; @@ -12,21 +12,234 @@ using System.Text; using System.Threading.Tasks; using System.Windows.Forms; -using System.IO; namespace RapidOCRWinform { public partial class FormOcr : Form { private OcrLite? ocrEngin; + private Label engineStatusLabel = null!; + private ToolTip engineToolTip = null!; public FormOcr() { InitializeComponent(); + + // --------------------- 布局修复（问题 1：按钮丢失 / 界面展示不全） --------------------- + // 设计时最小宽高对 1366×768 的笔记本屏幕过大（扣任务栏可用只有 700 左右）， + // 调小到 1160×700，超出部分靠 AutoScroll 滚屏。 + this.AutoScroll = true; + this.AutoScrollMinSize = new Size(1160, 980); + this.MinimumSize = new Size(1160, 700); + + // Designer 里 initBtn 默认是 Anchor=Top|Left，但 detectBtn 是 Anchor=Top|Right， + // 导致 Form 宽度变化时两个大按钮水平错位，一个贴右一个贴左，initBtn 被挤出右边界。 + // 统一 Anchor=Top|Right；并且强制把两个按钮挂到 Form 直接子级 + BringToFront， + // 防止被 tableLayoutPanel2 这类大面板盖在下面（Z-order 覆盖）。 + // 具体坐标不在这里硬设 —— 构造函数 InitializeComponent 之后 Winform 还会执行 AutoScale， + // 125%/150% 高 DPI 会把 Location/Size 二次缩放，手动设的值立刻被覆盖。 + // 真正的对齐工作统一放到 Form1_Load 里（此时句柄已创建，AutoScale 已完成，Bounds 是最终值）。 + initBtn.Anchor = AnchorStyles.Top | AnchorStyles.Right; + detectBtn.Anchor = AnchorStyles.Top | AnchorStyles.Right; + detectBtn.Parent = this; + initBtn.Parent = this; + detectBtn.BringToFront(); + initBtn.BringToFront(); + detectBtn.Visible = true; + initBtn.Visible = true; + + // --------------------- 底部引擎状态条 --------------------- + engineStatusLabel = new Label + { + Dock = DockStyle.Bottom, + Height = 42, + AutoSize = false, + TextAlign = ContentAlignment.MiddleLeft, + Padding = new Padding(12, 0, 12, 0), + Font = new Font("Segoe UI", 9F, FontStyle.Regular), + BorderStyle = BorderStyle.FixedSingle, + Text = "引擎：未初始化（点击右上角【重新初始化】加载模型，勾选 UseGpu 后也必须点这里才生效）" + }; + engineToolTip = new ToolTip + { + AutoPopDelay = 15000, + InitialDelay = 250, + ReshowDelay = 250, + ShowAlways = true, + ToolTipTitle = "引擎状态详情" + }; + this.Controls.Add(engineStatusLabel); + // BringToFront 等价于 Controls.SetChildIndex(engineStatusLabel, 0)：最高 Dock 优先级， + // 先抢 Form 底部 42px 外沿，其他 Anchor=Bottom 的控件会自动贴到它上沿。 + engineStatusLabel.BringToFront(); + + // --------------------- 事件订阅：配置变更提示重新初始化 --------------------- + // 用户常误以为"勾 UseGpu 就立刻生效"，实际上模型已加载必须重新 InitModels， + // 任何配置改动后立即给一个醒目黄色提示。 + EventHandler configDirty = (s, e) => + { + engineStatusLabel.Text = "⚙️ UseGpu/GpuDeviceId 已变更：请点击右上角【重新初始化】才能生效（原引擎实例仍用旧配置运行）"; + engineStatusLabel.BackColor = Color.FromArgb(255, 255, 190); // 亮黄 + engineStatusLabel.ForeColor = Color.FromArgb(120, 75, 0); + engineToolTip.SetToolTip(engineStatusLabel, + "UseGpu / GpuDeviceId / NumThread / 模型路径 等参数变更后，都需要点击【重新初始化】\r\n" + + "重新加载三个 ONNX 子网（Det/Angle/Rec）才能生效。\r\n" + + "仅改 CheckBox 不会热切换，OcrLite 类本身不提供无重启切换 Provider 的能力。"); + }; + useGpuCheckBox.CheckedChanged += configDirty; + gpuDeviceIdNumeric.ValueChanged += configDirty; + numThreadNumeric.ValueChanged += configDirty; + detNameTextBox.TextChanged += configDirty; + clsNameTextBox.TextChanged += configDirty; + recNameTextBox.TextChanged += configDirty; + keysNameTextBox.TextChanged += configDirty; + modelsTextBox.TextChanged += configDirty; + } + + /// 把 DirectML 初始化失败的原因翻译成用户能看懂的行动指引。 + /// DirectML 内置于 Windows 10 1709+，极少失败；失败仅可能是 Windows 太旧或显卡驱动不支持 DX12。 + private static string SummarizeGpuFailure(string raw) + { + if (raw.Contains("x64", StringComparison.OrdinalIgnoreCase) || raw.Contains("Prefer32Bit", StringComparison.OrdinalIgnoreCase)) + { + return "CPU（DML 失败：需要 x64 进程 → 项目属性→生成→PlatformTarget=x64，取消 Prefer32Bit）"; + } + if (raw.Contains("DirectX", StringComparison.OrdinalIgnoreCase) || + raw.Contains("dxgi", StringComparison.OrdinalIgnoreCase) || + raw.Contains("D3D", StringComparison.OrdinalIgnoreCase)) + { + return "CPU（DML 失败：显卡驱动不支持 DirectX 12 → 请更新显卡驱动到最新版）"; + } + if (raw.Contains("provider is not enabled", StringComparison.Ordinal) || + raw.Contains("not supported", StringComparison.OrdinalIgnoreCase)) + { + return "CPU（DML 失败：当前 onnxruntime.dll 不含 DML EP → 请确认 RapidOCRLib.csproj 引用的是 Microsoft.ML.OnnxRuntime.DirectML 而非纯 CPU 版）"; + } + // DirectML 极少失败，兜底显示前 90 字符 + string cleaned = raw.Replace("\r", " ").Replace("\n", " "); + return cleaned.Length <= 90 ? cleaned : cleaned.Substring(0, 90) + "…（鼠标悬停看完整报错）"; + } + + /// 刷新底部引擎状态显示。颜色：DML GPU 成功→绿，失败回退→橙，纯 CPU→灰，配置脏→黄。 + private void UpdateEngineStatus(string? statusFromResult = null) + { + string raw; + if (!string.IsNullOrEmpty(statusFromResult)) + raw = statusFromResult!; + else if (ocrEngin != null) + raw = ocrEngin.EngineStatus; + else + raw = "未初始化"; + + bool allDmlSuccess = raw.Contains("DML(device ", StringComparison.Ordinal); + bool anyGpuFailed = raw.Contains("DML init failed", StringComparison.Ordinal) || + raw.Contains("GPU requires", StringComparison.Ordinal); + + string display; + if (allDmlSuccess) + { + display = $"✅ DirectML GPU 加速已启用：{raw}"; + engineStatusLabel.BackColor = Color.FromArgb(214, 240, 210); // 浅绿 + engineStatusLabel.ForeColor = Color.FromArgb(35, 100, 35); + engineToolTip.SetToolTip(engineStatusLabel, + "三个子网（Det / Angle / Rec）都已成功挂到 DirectML Execution Provider。\r\n" + + "DirectML 基于 DirectX 12，Windows 10+ 内置，无需安装 CUDA/cuDNN。\r\n" + + "NVIDIA / AMD / Intel 核显全部兼容。demo.png 预计 800~1500ms / 张。\r\n" + + "如果速度仍慢，打开任务管理器 → 性能 → GPU，看 3D / Compute 列是否有明显占用。"); + } + else if (anyGpuFailed) + { + string summary = SummarizeGpuFailure(raw); + display = $"⚠️ {summary}"; + engineStatusLabel.BackColor = Color.FromArgb(255, 235, 180); // 浅橙 + engineStatusLabel.ForeColor = Color.FromArgb(140, 80, 0); + engineToolTip.SetToolTip(engineStatusLabel, + "完整报错（ONNX Runtime 返回）：\r\n" + raw + "\r\n\r\n" + + "【说明】本项目使用 DirectML（Microsoft.ML.OnnxRuntime.DirectML），\r\n" + + "无需 CUDA/cuDNN，Windows 10 1709+ 直接可用。\r\n\r\n" + + "排查步骤：\r\n" + + " 1) 确认 Windows 版本 ≥ 10.0.16299（Win+R → winver）\r\n" + + " 2) 更新显卡驱动到最新版（NVIDIA / AMD / Intel 官网上都有）\r\n" + + " 3) 清理解决方案重建：VS 菜单【生成→清理解决方案】+【生成解决方案】"); + } + else if (raw == "未初始化") + { + display = "引擎：未初始化 → 请点击右上角【重新初始化】加载模型（勾选 UseGpu 后也必须点一次）"; + engineStatusLabel.BackColor = Color.FromArgb(240, 240, 240); // 灰 + engineStatusLabel.ForeColor = Color.FromArgb(60, 60, 60); + engineToolTip.SetToolTip(engineStatusLabel, + "首次启动需要点击【重新初始化】加载三个 ONNX 模型（约 200MB 左右）。\r\n" + + "如果希望使用 GPU 加速，请先勾选【UseGpu】再点击【重新初始化】。\r\n" + + "GpuDeviceId 默认 0（通常只有一块显卡用 0 即可）。\r\n\r\n" + + "本项目使用 DirectML（DirectX 12）GPU 加速，N/A/I 卡全兼容，无需装 CUDA！"); + } + else + { + // 纯 CPU（未勾选 UseGpu） + display = $"⚙️ CPU 运行中（{raw}）——想加速请勾【UseGpu】并点【重新初始化】（DirectML，无需 CUDA！）"; + engineStatusLabel.BackColor = Color.FromArgb(240, 240, 240); + engineStatusLabel.ForeColor = Color.FromArgb(60, 60, 60); + engineToolTip.SetToolTip(engineStatusLabel, + "当前 Det/Angle/Rec 三个子网都运行在 CPU 上，最优配置下 demo.png 约 3.6s/张。\r\n" + + "想降到 1s 以内：勾选 UseGpu → 点重新初始化 → 底部状态转绿即可。\r\n" + + "（本项目使用 DirectML GPU 加速，Windows 10+ 内置支持，无需装 CUDA Toolkit）"); + } + + engineStatusLabel.Text = display; } private async void Form1_Load(object sender, EventArgs e) { + // ====================================== + // 【按钮丢失终极修复】AutoScale 完成后，按 detectBtn 的实时 Bounds 动态对齐 initBtn + // 构造函数里设置的 Location 会被高 DPI AutoScale 二次缩放甚至覆盖， + // Form_Load 时控件句柄已创建，Bounds 是最终显示坐标，此时改写才真正生效。 + // ====================================== + int btnGap = 10; + Rectangle detRect = detectBtn.Bounds; + Rectangle initRect = initBtn.Bounds; + + // 1) X 坐标：两个按钮宽度相同，左边缘严格对齐（Anchor=Top|Right 已经保证它们的 Right 贴 Form 右边） + if (initRect.X != detRect.X) + { + initRect.X = detRect.X; + } + // 2) Y 坐标：initBtn 紧贴 detectBtn 下沿 + 10px 间距（避免上次叠进 detectBtn 下半部分导致视觉消失） + int desiredTop = detRect.Bottom + btnGap; + // 但如果用户屏幕太小（扣掉状态条 42 后装不下 initBtn 高度），就尽量贴 detectBtn 下沿且不超出 Client 上半屏 + int maxAllowBottom = this.ClientSize.Height - 60; // 留 60 给底部状态条+边缘 + int desiredBottom = desiredTop + initRect.Height; + if (desiredBottom > maxAllowBottom) + { + // 极端情况：窗口太小，让 initBtn 向 detectBtn 靠紧，至少保证 60% 的按钮高度可见（AutoScroll 可以滚） + desiredTop = Math.Max(detRect.Bottom, maxAllowBottom - (int)(initRect.Height * 0.6)); + } + initRect.Y = desiredTop; + initBtn.Bounds = initRect; + + // 3) 保证 AutoScrollMinSize 的高度至少包含 initBtn 的下沿（否则会被裁剪不出滚动条，真的"丢"了） + int requiredScrollH = initRect.Bottom + 20; + if (this.AutoScrollMinSize.Height < requiredScrollH) + { + this.AutoScrollMinSize = new Size(this.AutoScrollMinSize.Width, requiredScrollH); + } + + // 4) 二次保证 Z-order：两个按钮最顶层，状态条 Dock 优先级最高（贴在 Form 最底部不被遮挡） + detectBtn.BringToFront(); + initBtn.BringToFront(); + engineStatusLabel.BringToFront(); + + // 5) 兜底：如果 initBtn 还是不可见（理论上不会有了），直接强制 Visible=true + 弹一次状态条提醒 + if (!initBtn.Visible || !this.ClientRectangle.IntersectsWith(initBtn.ClientRectangle)) + { + initBtn.Visible = true; + engineStatusLabel.Text = "⚠️ 检测到【重新初始化】按钮超出可视区域，已自动复位；如仍看不见请垂直滚动右侧滚动条"; + engineStatusLabel.BackColor = Color.FromArgb(255, 200, 100); + engineStatusLabel.ForeColor = Color.FromArgb(120, 60, 0); + } + // 刷新初始引擎状态（Load 末尾再真正调用 InitModels） + UpdateEngineStatus(); + string appPath = AppDomain.CurrentDomain.BaseDirectory; string appDir = Directory.GetParent(appPath)!.FullName; string modelsDir = appPath + "models"; @@ -40,7 +253,7 @@ private async void Form1_Load(object sender, EventArgs e) { MessageBox.Show("模型文件不存在:" + detPath); } - bool isClsExists = File.Exists(clsPath); + bool isClsExists = string.IsNullOrWhiteSpace(clsNameTextBox.Text) || File.Exists(clsPath); if (!isClsExists) { MessageBox.Show("模型文件不存在:" + clsPath); @@ -50,7 +263,7 @@ private async void Form1_Load(object sender, EventArgs e) { MessageBox.Show("模型文件不存在:" + recPath); } - bool isKeysExists = File.Exists(recPath); + bool isKeysExists = string.IsNullOrWhiteSpace(keysNameTextBox.Text) || File.Exists(keysPath); if (!isKeysExists) { MessageBox.Show("Keys文件不存在:" + keysPath); @@ -58,15 +271,25 @@ private async void Form1_Load(object sender, EventArgs e) if (isDetExists && isClsExists && isRecExists && isKeysExists) { ocrEngin = new OcrLite(); - await ocrEngin.InitModels(detPath, clsPath, recPath, keysPath, (int)numThreadNumeric.Value); + try + { + await ocrEngin.InitModels(detPath, clsPath, recPath, keysPath, (int)numThreadNumeric.Value, useGpuCheckBox.Checked, (int)gpuDeviceIdNumeric.Value); + } + catch (Exception ex) + { + MessageBox.Show("初始化失败：" + ex.Message + Environment.NewLine + + "（若勾选了 UseGpu 且报错：1) 确认 PlatformTarget=x64 2) 确认显卡驱动支持 DirectX 12（更新到最新） 3) 本项目已改用 DirectML，无需装 CUDA Toolkit）"); + } + UpdateEngineStatus(); } else { MessageBox.Show("初始化失败，请确认模型文件夹和文件后，重新初始化！"); + UpdateEngineStatus(); } } - private void initBtn_Click(object sender, EventArgs e) + private async void initBtn_Click(object sender, EventArgs e) { string modelsDir = modelsTextBox.Text; string detPath = modelsDir + "\\" + detNameTextBox.Text; @@ -78,7 +301,7 @@ private void initBtn_Click(object sender, EventArgs e) { MessageBox.Show("模型文件不存在:" + detPath); } - bool isClsExists = File.Exists(clsPath); + bool isClsExists = string.IsNullOrWhiteSpace(clsNameTextBox.Text) || File.Exists(clsPath); if (!isClsExists) { MessageBox.Show("模型文件不存在:" + clsPath); @@ -88,7 +311,7 @@ private void initBtn_Click(object sender, EventArgs e) { MessageBox.Show("模型文件不存在:" + recPath); } - bool isKeysExists = File.Exists(recPath); + bool isKeysExists = string.IsNullOrWhiteSpace(keysNameTextBox.Text) || File.Exists(keysPath); if (!isKeysExists) { MessageBox.Show("Keys文件不存在:" + keysPath); @@ -96,11 +319,21 @@ private void initBtn_Click(object sender, EventArgs e) if (isDetExists && isClsExists && isRecExists && isKeysExists) { ocrEngin = new OcrLite(); - ocrEngin.InitModels(detPath, clsPath, recPath, keysPath, (int)numThreadNumeric.Value); + try + { + await ocrEngin.InitModels(detPath, clsPath, recPath, keysPath, (int)numThreadNumeric.Value, useGpuCheckBox.Checked, (int)gpuDeviceIdNumeric.Value); + } + catch (Exception ex) + { + MessageBox.Show("初始化失败：" + ex.Message + Environment.NewLine + + "（若勾选了 UseGpu 且报错：1) 确认 PlatformTarget=x64 2) 确认显卡驱动支持 DirectX 12（更新到最新） 3) 本项目已改用 DirectML，无需装 CUDA Toolkit）"); + } + UpdateEngineStatus(); } else { MessageBox.Show("初始化失败，请确认模型文件夹和文件后，重新初始化！"); + UpdateEngineStatus(); } } @@ -156,9 +389,10 @@ private void detectBtn_Click(object sender, EventArgs e) bool doAngle = doAngleCheckBox.Checked; bool mostAngle = mostAngleCheckBox.Checked; OcrResult ocrResult = ocrEngin.Detect(pathTextBox.Text, padding, imgResize, boxScoreThresh, boxThresh, unClipRatio, doAngle, mostAngle); + UpdateEngineStatus(ocrResult.EngineProvider); ocrResultTextBox.Text = ocrResult.ToString(); strRestTextBox.Text = ocrResult.StrRes; - pictureBox.Image = ocrResult.BoxImg.ToBitmap(); + if (ocrResult.BoxImg != null) pictureBox.Image = ocrResult.BoxImg.ToBitmap(); } private void partImgCheckBox_CheckedChanged(object sender, EventArgs e) diff --git a/RapidOCRWinform/RapidOCRWinform.csproj b/RapidOCRWinform/RapidOCRWinform.csproj index 2bc9664..48d7fe8 100644 --- a/RapidOCRWinform/RapidOCRWinform.csproj +++ b/RapidOCRWinform/RapidOCRWinform.csproj @@ -1,4 +1,4 @@ - + WinExe @@ -6,10 +6,19 @@ enable true enable + + x64 + false - \ No newline at end of file + + + PreserveNewest + + + + diff --git a/RapidOCRWinform/models/PP-OCRv6_det_medium.onnx b/RapidOCRWinform/models/PP-OCRv6_det_medium.onnx new file mode 100644 index 0000000..f8633ab Binary files /dev/null and b/RapidOCRWinform/models/PP-OCRv6_det_medium.onnx differ diff --git a/RapidOCRWinform/models/PP-OCRv6_rec_medium.onnx b/RapidOCRWinform/models/PP-OCRv6_rec_medium.onnx new file mode 100644 index 0000000..3093b25 Binary files /dev/null and b/RapidOCRWinform/models/PP-OCRv6_rec_medium.onnx differ diff --git a/RapidOCRWinform/models/ch_ppocr_mobile_v2.0_cls_infer.onnx b/RapidOCRWinform/models/ch_ppocr_mobile_v2.0_cls_infer.onnx new file mode 100644 index 0000000..6b9d102 Binary files /dev/null and b/RapidOCRWinform/models/ch_ppocr_mobile_v2.0_cls_infer.onnx differ diff --git a/RapidOCRWinform/models/ppocrv6_dict.txt b/RapidOCRWinform/models/ppocrv6_dict.txt new file mode 100644 index 0000000..270082a --- /dev/null +++ b/RapidOCRWinform/models/ppocrv6_dict.txt @@ -0,0 +1,18708 @@ +! +" +# +$ +% +& +' +( +) +* ++ +, +- +. +/ +: +; +< += +> +? +@ +[ +\ +] +^ +_ +` +{ +| +} +~ +0 +1 +2 +3 +4 +5 +6 +7 +8 +9 +A +B +C +D +E +F +G +H +I +J +K +L +M +N +O +P +Q +R +S +T +U +V +W +X +Y +Z +a +b +c +d +e +f +g +h +i +j +k +l +m +n +o +p +q +r +s +t +u +v +w +x +y +z +¢ +£ +¤ +¥ +¦ +§ +¨ +© +ª +« +¬ +® +¯ +° +± +² 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b/refresh_codegraph.ps1 @@ -0,0 +1,63 @@ +param( + [switch]$Init, + [switch]$Force +) + +$ErrorActionPreference = "Stop" + +function Install-CodeGraph { + Write-Host "[信息] 正在安装 codegraph…" -ForegroundColor Cyan + + $npm = Get-Command npm -ErrorAction SilentlyContinue + if ($npm) { + Write-Host "[信息] 通过 npm 安装 @colbymchenry/codegraph…" -ForegroundColor Cyan + npm install -g @colbymchenry/codegraph + if ($LASTEXITCODE -eq 0) { + Write-Host "[完成] codegraph 安装成功" -ForegroundColor Green + return + } + Write-Host "[警告] npm 安装失败，尝试使用官方安装脚本…" -ForegroundColor Yellow + } + + Write-Host "[信息] 通过官方脚本安装…" -ForegroundColor Cyan + irm https://raw.githubusercontent.com/colbymchenry/codegraph/main/install.ps1 | iex + if ($LASTEXITCODE -ne 0) { throw "codegraph 安装失败" } + Write-Host "[完成] codegraph 安装成功" -ForegroundColor Green +} + +try { + $codegraph = Get-Command codegraph -ErrorAction Stop + Write-Host "[正常] 已检测到 codegraph CLI" -ForegroundColor Green +} catch { + Write-Host "[提示] 未找到 codegraph，将自动安装…" -ForegroundColor Yellow + Install-CodeGraph +} + +if (-not (Test-Path ".\.codegraph")) { + Write-Host "[警告] 未找到 .codegraph/ 目录，正在执行初始化…" -ForegroundColor Yellow + codegraph init -i + if ($LASTEXITCODE -ne 0) { throw "codegraph init 失败" } + Write-Host "[完成] 初始化 + 索引构建完毕" -ForegroundColor Green +} elseif ($Init) { + Write-Host "[信息] 正在重新初始化…" -ForegroundColor Cyan + codegraph init -i + if ($LASTEXITCODE -ne 0) { throw "codegraph init 失败" } + Write-Host "[完成] 重新初始化 + 索引构建完毕" -ForegroundColor Green +} elseif ($Force) { + Write-Host "[信息] 正在执行全量重建索引…" -ForegroundColor Cyan + codegraph index --force + if ($LASTEXITCODE -ne 0) { throw "codegraph index --force 失败" } + Write-Host "[完成] 全量重建索引完毕" -ForegroundColor Green +} else { + Write-Host "[信息] 正在执行增量同步…" -ForegroundColor Cyan + codegraph sync + if ($LASTEXITCODE -ne 0) { throw "codegraph sync 失败" } + Write-Host "[完成] 增量同步完毕" -ForegroundColor Green +} + +Write-Host "`n--- CodeGraph 状态 ---" -ForegroundColor Cyan +codegraph status + +if ($LASTEXITCODE -ne 0) { + Write-Host "[警告] codegraph status 返回异常" -ForegroundColor Yellow +}