Node.js API 用于分析 OMR 文档并提取数据

通过 NPM 安装 Aspose.OMR Cloud SDK for Node.js

npm install && npm run-script build 

通过 GitHub 安装 Aspose.OMR Cloud SDK for Node.js

git clone https://github.com/aspose-omr-cloud/aspose-omr-cloud-nodejs.git --recurse-submodules	 

您可以直接从 Aspose.OMR 产品页面下载库。

如何在 Node.js 应用中动态生成 OMR 模板？

const asposeomrcloud = require("asposeomrcloud");
const config = new asposeomrcloud.Configuration({
    appSID: "YOUR_APP_SID",
    appKey: "YOUR_APP_KEY",
});

const omrApi = new asposeomrcloud.OmrApi(config);

const templateJson = {
    "templateName": "Survey",
    "elements": [
        {
            "elementType": "Text",
            "x": 100,
            "y": 50,
            "value": "Please fill out this survey",
        },
        {
            "elementType": "ChoiceBox",
            "x": 100,
            "y": 150,
            "choices": ["Yes", "No", "Maybe"],
        }
    ]
};

omrApi.generateTemplate(templateJson).then(result => {
    console.log("Template Generated:", result);
}).catch(err => {
    console.error("Error generating template:", err);
});

如何在 Node.js 应用中执行 OMR 表单识别？

const omrSheetPath = "filled_survey_sheet.jpg";
omrApi.recognizeImage(omrSheetPath, "SurveyTemplate.json").then(result => {
    console.log("Recognized Data:", result.data);
}).catch(err => {
    console.error("Recognition Error:", err);
});

如何在 Node.js 中执行评分操作？

const gradingSettings = {
    "markingThreshold": 0.6, // minimum mark detection threshold
    "errorMargin": 0.1, // margin of error for detection
};

omrApi.recognizeImage("filled_exam_sheet.jpg", "ExamTemplate.json", gradingSettings).then(result => {
    console.log("Grading Results:", result.grades);
}).catch(err => {
    console.error("Grading Error:", err);
});