tencent cloud

1. API Description

Domain name for API request: iai.tencentcloudapi.com.

This API is used to detect the position, attributes, and quality information of a face in the given image. The position information includes (x, y, w, h); the face attributes include gender, age, expression, beauty, glass, hair, mask, and pose (pitch, roll, yaw); and the face quality information includes the overall quality score, sharpness, brightness, and completeness.

The face quality information is mainly used to evaluate the quality of the input face image. When using the Face Recognition service, we recommend evaluating the quality of the input face image first to improve the effects of subsequent processing. Application scenarios of this feature include:

1. Creating/Adding a person in a group: this is to ensure the quality of the face information to facilitate subsequent processing.

2. Face search: this is to ensure the quality of the input image to quickly find the corresponding person.

3. Face verification: this is to ensure the quality of the face information to avoid cases where the verification incorrectly fails.

4. Face fusion: this is to ensure the quality of the uploaded face images to improve the fusion effect.

• Please use the signature algorithm v3 to calculate the signature in the common parameters, that is, set the SignatureMethod parameter to TC3-HMAC-SHA256.

2. Input Parameters

The following request parameter list only provides API request parameters and some common parameters. For the complete common parameter list, see Common Request Parameters.

3. Output Parameters

4. Example

Example1 Detecting and analyzing faces

Input Example

https://iai.tencentcloudapi.com/?Action=DetectFace
&MaxFaceNum=1
&MinFaceSize=40
&Url=http://test.image.myqcloud.com/testB.jpg
&NeedFaceAttributes=0
&NeedQualityDetection=0
&<Common request parameters>

Output Example

{
    "Response": {
        "ImageWidth": 640,
        "ImageHeight": 440,
        "FaceInfos": [
            {
                "X": 156,
                "Y": 129,
                "Width": 196,
                "Height": 196,
                "FaceAttributesInfo": {
                    "Gender": 0,
                    "Age": 0,
                    "Expression": 0,
                    "Hat": false,
                    "Glass": false,
                    "EyeOpen": true,
                    "Mask": false,
                    "Hair": {
                        "Length": 0,
                        "Bang": 0,
                        "Color": 0
                    },
                    "Pitch": 0,
                    "Yaw": 0,
                    "Roll": 0,
                    "Beauty": 0
                },
                "FaceQualityInfo": {
                    "Score": 0,
                    "Sharpness": 0,
                    "Brightness": 0,
                    "Completeness": {
                        "Eyebrow": 0,
                        "Eye": 0,
                        "Nose": 0,
                        "Cheek": 0,
                        "Mouth": 0,
                        "Chin": 0
                    }
                }
            }
        ],
        "FaceModelVersion": "3.0",
        "RequestId": "a574102d-1b86-48a7-a08b-6a741a8fedb6"
    }
}

Example2 Detecting and analyzing faces - 2

Input Example

https://iai.tencentcloudapi.com/?Action=DetectFace
&MaxFaceNum=1
&MinFaceSize=40
&Url=http://test.image.myqcloud.com/testA.jpg
&NeedFaceAttributes=1
&NeedQualityDetection=1
&<Common request parameters>

Output Example

{
    "Response": {
        "ImageWidth": 640,
        "ImageHeight": 440,
        "FaceInfos": [
            {
                "X": 156,
                "Y": 129,
                "Width": 196,
                "Height": 196,
                "FaceAttributesInfo": {
                    "Gender": 99,
                    "Age": 51,
                    "Expression": 99,
                    "Hat": false,
                    "Glass": false,
                    "EyeOpen": true,
                    "Mask": true,
                    "Hair": {
                        "Length": 1,
                        "Bang": 1,
                        "Color": 0
                    },
                    "Pitch": 17,
                    "Yaw": 5,
                    "Roll": -2,
                    "Beauty": 71
                },
                "FaceQualityInfo": {
                    "Score": 63,
                    "Sharpness": 73,
                    "Brightness": 47,
                    "Completeness": {
                        "Eyebrow": 99,
                        "Eye": 99,
                        "Nose": 99,
                        "Cheek": 52,
                        "Mouth": 99,
                        "Chin": 47
                    }
                }
            }
        ],
        "FaceModelVersion": "3.0",
        "RequestId": "bcde47b5-e6d8-446e-a538-bcecffbe306a"
    }
}

5. Developer Resources

SDK

TencentCloud API 3.0 integrates SDKs that support various programming languages to make it easier for you to call APIs.

• Tencent Cloud SDK 3.0 for Python
• Tencent Cloud SDK 3.0 for Java
• Tencent Cloud SDK 3.0 for PHP
• Tencent Cloud SDK 3.0 for Go
• Tencent Cloud SDK 3.0 for NodeJS
• Tencent Cloud SDK 3.0 for .NET
• Tencent Cloud SDK 3.0 for C++

Command Line Interface

• Tencent Cloud CLI 3.0

6. Error Code

The following only lists the error codes related to the API business logic. For other error codes, see Common Error Codes.