Golang connects to Baidu AI interface to implement face detection function, which is simply too simple

Golang connects to Baidu AI interface to implement face detection function, it is simply too simple

With the development and application of artificial intelligence, face recognition technology has become one of the hot topics one. Baidu AI open platform provides powerful face recognition interfaces, and Golang, as a fast, concise and efficient programming language, is very suitable for connecting these interfaces. This article will introduce how to use Golang to implement face detection function, and provide some code examples for readers' reference.

First, we need to register an account on Baidu AI open platform and create a face recognition application. After successful creation, we can obtain an API Key and Secret Key for authentication.

Before we start writing code, we need to introduce some necessary packages to communicate with the Baidu AI interface. In the Go language, there are many HTTP request libraries to choose from, such as net/http and github.com/go-resty/resty/v2, etc. Here we choose to use net/http.

The following is a sample code for calling Baidu AI's face detection interface:

package main

import (
    "bytes"
    "encoding/json"
    "fmt"
    "io/ioutil"
    "net/http"
)

type FaceDetectResponse struct {
    ErrorCode int `json:"error_code"`
    ErrorMessage string `json:"error_message"`
    Result []struct {
        FaceProbability float64 `json:"face_probability"`
    } `json:"result"`
}

func main() {
    // 设置API Key和Secret Key
    apiKey := "YOUR_API_KEY"
    secretKey := "YOUR_SECRET_KEY"

    // 设置请求URL和参数
    url := "https://aip.baidubce.com/rest/2.0/face/v3/detect"
    queryParams := map[string]string{
        "image": "YOUR_IMAGE_URL",
        "image_type": "URL",
        "face_field": "face_probability",
    }

    // 构造请求URL
    req, err := http.NewRequest("GET", url, nil)
    if err != nil {
        fmt.Println(err)
        return
    }
    req.URL.RawQuery = "access_token=" + apiKey
    for key, value := range queryParams {
        req.URL.RawQuery += "&" + key + "=" + value
    }

    // 发送请求
    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil {
        fmt.Println(err)
        return
    }
    defer resp.Body.Close()

    // 解析响应
    body, err := ioutil.ReadAll(resp.Body)
    if err != nil {
        fmt.Println(err)
        return
    }

    // 解析JSON
    var detectResponse FaceDetectResponse
    err = json.Unmarshal(body, &detectResponse)
    if err != nil {
        fmt.Println(err)
        return
    }

    // 处理响应
    if detectResponse.ErrorCode != 0 {
        fmt.Println(detectResponse.ErrorMessage)
        return
    }

    // 打印人脸概率
    for _, face := range detectResponse.Result {
        fmt.Println("人脸概率:", face.FaceProbability)
    }
}

In the code, we first set the API Key and Secret Key. We then constructed an HTTP GET request and set the required parameters in the query parameters. Next, we send the request and parse the response. Finally, we process the results and print out the face probabilities.

Please note that YOUR_API_KEY and YOUR_SECRET_KEY in the above code need to be replaced with the API Key and Secret Key of the application you created on the Baidu AI open platform. In addition, YOUR_IMAGE_URL needs to be replaced with the URL of the image you want to detect.

Through the above steps, we can use Golang to connect to Baidu AI interface to implement the face detection function. Golang's simplicity and efficiency make this process very easy. Not only that, Golang's coroutine and concurrency features can further improve the performance and efficiency of face detection.

In summary, it is a relatively simple task for Golang to connect Baidu AI interface to implement face detection function. By rationally utilizing the advantages of Golang, we can quickly and efficiently implement the face detection function and add more intelligent functions to our applications. I hope this article can be helpful to readers and inspire more people to create more meaningful applications with the help of Golang and artificial intelligence technology.

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