Golang connects to Baidu AI interface to implement image analysis functions, making it easy to get started.

Golang connects to Baidu AI interface to implement image analysis function, making it easy to get started

Introduction: With the rapid development of artificial intelligence technology, image analysis has become a popular field. This article will introduce how to use Golang language to connect to Baidu AI interface to implement image analysis function, so that you can easily get started.

1. Introduction to Baidu AI interface

The Baidu AI platform provides a series of image analysis APIs, including face recognition, text recognition, image search, image review and other functions. We choose one of the functions for example, taking image classification as an example.

2. Preparation

First, we need to register a Baidu AI developer account and create an application. Obtain the API Key and Secret Key of the application, which will be used for subsequent interface calls.

Secondly, we need to install Golang's HTTP request library. Here we use the more commonly used third-party library "request" to implement it.

3. Code Implementation

The following is a sample code that uses Golang to implement image classification:

package main

import (
    "fmt"
    "io/ioutil"
    "net/http"
    "net/url"
    "os"
)

func main() {
    // 设置百度AI接口的API Key和Secret Key
    apiKey := "your-api-key"
    secretKey := "your-secret-key"

    // 调用百度AI接口的URL
    requestURL := "https://aip.baidubce.com/rest/2.0/image-classify/v1/animal"

    // 读取待分类的图像文件
    imageFile, _ := os.Open("image.jpg")
    defer imageFile.Close()

    // 将图像文件读取为字节流
    imageData, _ := ioutil.ReadAll(imageFile)

    // 发起HTTP请求
    resp, _ := http.PostForm(requestURL,
        url.Values{
            "access_token": {getAccessToken(apiKey, secretKey)},
        })
    defer resp.Body.Close()

    // 读取HTTP响应
    body, _ := ioutil.ReadAll(resp.Body)

    // 打印返回结果
    fmt.Println(string(body))
}

// 获取百度AI的access token
func getAccessToken(apiKey string, secretKey string) string {
    authURL := "https://aip.baidubce.com/oauth/2.0/token"
    resp, _ := http.PostForm(authURL,
        url.Values{
            "grant_type":    {"client_credentials"},
            "client_id":     {apiKey},
            "client_secret": {secretKey},
        })
    defer resp.Body.Close()

    body, _ := ioutil.ReadAll(resp.Body)

    // 解析JSON结果，获取access token
    accessToken := ""
    // 解析过程略

    return accessToken
}

In this example, we call getAccessToken The function obtains the access token of Baidu AI, which is used for subsequent interface calls. Then, we send the image files to be classified to Baidu AI's image classification interface through HTTP POST requests. Finally, we read the result of the HTTP response and print it.

4. Summary

Through the sample code in this article, we can see that the process of using Golang language to connect to Baidu AI interface to implement image analysis functions is relatively simple. You only need to obtain the API Key and Secret Key of Baidu AI, and combine it with the HTTP request library to easily implement the image analysis function.

Of course, Baidu AI also provides other rich image analysis functions. Interested readers can further explore by reading the official documentation of Baidu AI. I hope this article is helpful to you, and I wish you better achievements in the field of image analysis!

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