Azure的面部识别给出了“属性”＆＃x27;仅支持识别_03和识别_04。”。错误

发布于 2025-01-20 09:26:15 字数 942 浏览 3 评论 0 原文

我正在遵循官方的Azure QuickStart指南（ https://learn.microsoft.com/en-gb/azure/cognitive-services/face/quickstarts/quickstarts/client-lient-lient-lient-liblaries？ ; pivots =编程语言 - 式API ），特别是“ feet face属性”部分，当复制Postman中提供的卷曲示例时，我会收到以下错误：

{
    "error": {
        "code": "BadArgument",
        "message": "Attribute 'qualityForRecognition' is only supported for recognition_03 and recognition_04."
    }
}

有什么想法吗？看来他们已经更新了API而没有更新文档，这是我对Microsoft这样的Corp的期望，但这是我唯一能想到为什么它无法正常工作的事情。作为参考，这是我邮递员请求的屏幕截图。

原文

I'm following the official MS Azure quickstart guide (https://learn.microsoft.com/en-gb/azure/cognitive-services/face/quickstarts/client-libraries?tabs=visual-studio&pivots=programming-language-rest-api), specifically the "Get face attributes" part and when replicating provided cURL examples in Postman, I'm getting the following error:

{
    "error": {
        "code": "BadArgument",
        "message": "Attribute 'qualityForRecognition' is only supported for recognition_03 and recognition_04."
    }
}

Any ideas? It seems like they've updated their API without updating documentation, which is something I wouldn've expected from a corp like Microsoft, but it's the only thing I can think of why it wouldn't be working. For reference, here's a screenshot of my Postman request.

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╭ゆ眷念 2025-01-27 09:26:15

按照：：

要提取面部属性，请再次调用检测API，但将检测模型设置为检测_01。添加 returnfaceattributes 查询参数。

用流示例检测：

POST {Endpoint}/face/v1.0/detect?overload=stream&returnFaceAttributes=age,gender,headPose,smile,facialHair,glasses,emotion,hair,makeup,occlusion,accessories,blur,exposure,noise&recognitionModel=recognition_01&returnRecognitionModel=True&detectionModel=detection_01
Ocp-Apim-Subscription-Key: {API key}

returnFaceAttributes ：分析并返回逗号分隔字符串中的一个或多个指定的脸部属性，例如“ returnfaceattributes = age，agender，性别”。

注意： detection_01 支持年龄，性别，头痛，微笑，面部护理，眼镜，情感，头发，化妆，遮挡，附件，配件，模糊，暴露，噪音，噪音和质量认识，<代码> distion_02 不支持任何属性， dincection_03 仅支持蒙版和 Qualityforrencognition 。 QualityForrencognition 仅在指定为'识别_03 '或' nesition_04 '时，才支持。

按照， dintection_01 与识别_04 一起使用，

var faces3 = await faceClient.Face.DetectWithUrlAsync(url: imageUrl, returnFaceId: true, returnFaceAttributes: requiredFaceAttributes, detectionModel: DetectionModel.Detection01, recognitionModel: RecognitionModel.Recognition04);

您也可以参考添加质量forterforrecognition属性到面部检测

As per documentation:

To extract face attributes, call the Detect API again, but set detectionModel to detection_01. Add the returnFaceAttributes query parameter as well.

Detect with stream example:

POST {Endpoint}/face/v1.0/detect?overload=stream&returnFaceAttributes=age,gender,headPose,smile,facialHair,glasses,emotion,hair,makeup,occlusion,accessories,blur,exposure,noise&recognitionModel=recognition_01&returnRecognitionModel=True&detectionModel=detection_01
Ocp-Apim-Subscription-Key: {API key}

returnFaceAttributes: Analyze and return the one or more specified face attributes in the comma-separated string like "returnFaceAttributes=age,gender".

Note: detection_01 supports age, gender, headPose, smile, facialHair, glasses, emotion, hair, makeup, occlusion, accessories, blur, exposure, noise, and qualityForRecognition While detection_02 does not support any attributes and detection_03 only supports mask and qualityForRecognition. qualityForRecognition is only supported when the 'recognitionModel' is specified as 'recognition_03' or 'recognition_04'.

As per Add QualityForRecognition in Face how-to samples, detection_01 is used with recognition_04

var faces3 = await faceClient.Face.DetectWithUrlAsync(url: imageUrl, returnFaceId: true, returnFaceAttributes: requiredFaceAttributes, detectionModel: DetectionModel.Detection01, recognitionModel: RecognitionModel.Recognition04);

You can also refer to Add qualityForRecognition attribute to Face Detection

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