API C# .NET để Trích xuất Dữ liệu qua Nhận dạng Dấu hiệu Quang học

通过 NuGet 命令安装 Aspose.OMR for .NET

Install-Package Aspose.OMR

您可以直接从 Aspose.OMR for .NET 产品页面下载该库。

如何通过 C# .NET 从内存流识别数据？

// 加载识别模式和表单图像
byte[] pattern = Encoding.UTF8.GetBytes(payload[0]);
byte[] form = Encoding.UTF8.GetBytes(payload[1]);
// 初始化识别引擎
Aspose.OMR.Api.OmrEngine omrEngine = new Aspose.OMR.Api.OmrEngine();
Aspose.OMR.Api.TemplateProcessor templateProcessor = null;
using(MemoryStream patternStream = new MemoryStream(pattern))
{
    templateProcessor = omrEngine.GetTemplateProcessor(patternStream, Encoding.UTF8);
}
// 识别
Aspose.OMR.Model.RecognitionResult recognitionResult = null;
using(MemoryStream formStream = new MemoryStream(form))
{
recognitionResult = templateProcessor.Recognize(formStream);
}

如何使用 .NET API 批量执行 OMR 识别？

using Aspose.Omr;

class Program
{
    static void Main()
    {
        // 加载 OMR 模板
        OmrEngine engine = new OmrEngine();
        OmrTemplate template = engine.TemplateProcessor.LoadTemplate("path/to/template.amr");

        // 配置识别设置
        OmrRecognitionSettings settings = new OmrRecognitionSettings();
        settings.AdaptiveThreshold = true;

        // 批量处理每张图像
        string[] imagePaths = { "path/to/image1.jpg", "path/to/image2.jpg", "path/to/image3.jpg" };

        foreach (string imagePath in imagePaths)
        {
            OmrResult result = engine.RecognizeImage(template, imagePath, settings);

            // 从结果中提取数据
            foreach (OmrRecognitionBlock block in result.RecognitionBlocks)
            {
                foreach (OmrPage page in block.Pages)
                {
                    foreach (OmrQuestion question in page.Questions)
                    {
                        // 访问问题详情、标记的选项等
                    }
                }
            }

            // 根据需要处理每张图像的结果
        }
    }
}