DdddOcr.NetCore 1.0.0

dotnet add package DdddOcr.NetCore --version 1.0.0
                    
NuGet\Install-Package DdddOcr.NetCore -Version 1.0.0
                    
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="DdddOcr.NetCore" Version="1.0.0" />
                    
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="DdddOcr.NetCore" Version="1.0.0" />
                    
Directory.Packages.props
<PackageReference Include="DdddOcr.NetCore" />
                    
Project file
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package.
paket add DdddOcr.NetCore --version 1.0.0
                    
#r "nuget: DdddOcr.NetCore, 1.0.0"
                    
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
#:package DdddOcr.NetCore@1.0.0
                    
#:package directive can be used in C# file-based apps starting in .NET 10 preview 4. Copy this into a .cs file before any lines of code to reference the package.
#addin nuget:?package=DdddOcr.NetCore&version=1.0.0
                    
Install as a Cake Addin
#tool nuget:?package=DdddOcr.NetCore&version=1.0.0
                    
Install as a Cake Tool

DdddOcr.NET

NuGet Downloads License

DdddOcr的.NET Core 10.0完整重构版本 - 开箱即用的通用验证码识别SDK

✨ 本包已包含完整模型文件(85MB),安装即可使用,无需额外下载!


🚀 快速开始

1. 安装包

dotnet add package DdddOcr.NET

2. 使用

using DdddOcr.Core;

// 创建实例(模型已内置,开箱即用)
using var ocr = new DdddOcr();

// 识别验证码
byte[] imageBytes = File.ReadAllBytes("captcha.png");
string result = ocr.Classification(imageBytes);

Console.WriteLine($"识别结果: {result}");

📦 包含的模型

模型文件 大小 用途
common_old.onnx 13 MB 默认OCR模型(快速)
common.onnx 52 MB Beta版OCR模型(高准确率)
common_det.onnx 19 MB 目标检测模型(YOLOX)

💡 使用示例

基础OCR识别

using var ocr = new DdddOcr();
string code = ocr.Classification(imageBytes);

使用Beta模型(更高准确率)

var config = new OcrConfig { Beta = true };
using var ocr = new DdddOcr(config);
string code = ocr.Classification(imageBytes);

目标检测

using var ocr = new DdddOcr();
var boxes = ocr.Detection(imageBytes);

foreach (var box in boxes)
{
    Console.WriteLine($"位置: ({box.X}, {box.Y}), 置信度: {box.Confidence}");
}

滑块匹配

using var ocr = new DdddOcr();
float offset = ocr.SlideMatch(targetBytes, backgroundBytes);
Console.WriteLine($"滑块偏移: {offset}");

限制字符集

using var ocr = new DdddOcr();
ocr.SetRanges("0123456789");  // 仅数字
string code = ocr.Classification(imageBytes);

⚙️ 配置选项

var config = new OcrConfig
{
    // 模型配置
    ModelsPath = "E:/models",      // 自定义模型路径(可选)
    Old = false,                   // 使用旧版模型
    Beta = true,                   // 使用Beta版模型
    ImportOnnxPath = "",           // 自定义ONNX模型
    CharsetsPath = "",             // 自定义字符集
    
    // 性能配置
    UseGpu = false,                // 启用GPU
    DeviceId = 0                   // GPU设备ID
};

using var ocr = new DdddOcr(config);

📊 性能指标

  • 识别速度: < 100ms/张(CPU)
  • 内存占用: < 200MB
  • 支持格式: PNG, JPG, BMP, GIF
  • 目标框架: .NET 10.0+

🎯 核心特性

  • 开箱即用 - 内置完整模型文件,无需额外下载
  • 高准确率 - 基于深度学习的OCR识别
  • 多场景支持 - 验证码识别、目标检测、滑块匹配
  • 简单易用 - 简洁的API设计
  • 跨平台 - 支持Windows、Linux、macOS
  • 高性能 - 基于ONNX Runtime推理引擎

📝 完整文档


🤝 贡献

欢迎提交Issue和Pull Request!


📄 许可证

Apache-2.0 License


🙏 致谢

Product Compatible and additional computed target framework versions.
.NET net10.0 is compatible.  net10.0-android was computed.  net10.0-browser was computed.  net10.0-ios was computed.  net10.0-maccatalyst was computed.  net10.0-macos was computed.  net10.0-tvos was computed.  net10.0-windows was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages

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GitHub repositories

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Version Downloads Last Updated
1.0.0 164 5/10/2026