Baidu AI interface and Golang: create an efficient face search system
Baidu AI interface and Golang: Create an efficient face search system
With the continuous development of artificial intelligence technology, face recognition technology is also used in more and more applications A wide range of areas. The face search system is one of the very important application scenarios. It can perform face retrieval, face recognition and other tasks by analyzing facial features. The face search interface provided by Baidu AI can greatly improve the efficiency and accuracy of the face search system. This article will introduce the use of Baidu AI interface and Golang, and demonstrate how to build an efficient face search system in Golang.
First, we need to register a Baidu AI developer account and activate the face search service. After obtaining the API Key and Secret Key of Baidu AI, we can use Golang to call the relevant interfaces.
In Golang, we can use the net/http
package to make HTTP requests. First, we need to import the relevant libraries:
import ( "fmt" "net/http" "io/ioutil" "encoding/json" )
Next, we can define a searchFace
function to perform face search. This function accepts the URL of a face image as a parameter and returns a search result in JSON format.
func searchFace(imageURL string) (result string, err error) { // 构造请求URL url := "https://aip.baidubce.com/rest/2.0/face/v3/search" params := fmt.Sprintf("image=%s&group_id=group1", imageURL) requestURL := fmt.Sprintf("%s?%s&access_token=%s", url, params, accessToken) // 发送HTTP POST请求 resp, err := http.Post(requestURL, "application/x-www-form-urlencoded", nil) if err != nil { return "", err } defer resp.Body.Close() // 读取响应数据 body, err := ioutil.ReadAll(resp.Body) if err != nil { return "", err } // 解析JSON响应 var data map[string]interface{} err = json.Unmarshal(body, &data) if err != nil { return "", err } // 提取搜索结果 result = fmt.Sprintf("%v", data["result"]) return result, nil }
In the above code, we sent an HTTP POST request through the http.Post
function and specified image
and group_id
, etc. parameter. We read and parse the data returned by the server into JSON format, and then extract the search results.
In order to use Baidu AI interface, we also need to obtain an access token. You can use the following code to obtain:
func getAccessToken(apiKey string, secretKey string) (accessToken string, err error) { // 定义获取访问令牌的URL和参数 url := "https://aip.baidubce.com/oauth/2.0/token" params := fmt.Sprintf("grant_type=client_credentials&client_id=%s&client_secret=%s", apiKey, secretKey) requestURL := fmt.Sprintf("%s?%s", url, params) // 发送HTTP GET请求 resp, err := http.Get(requestURL) if err != nil { return "", err } defer resp.Body.Close() // 读取响应数据 body, err := ioutil.ReadAll(resp.Body) if err != nil { return "", err } // 解析JSON响应 var data map[string]interface{} err = json.Unmarshal(body, &data) if err != nil { return "", err } // 获取访问令牌 accessToken = fmt.Sprintf("%v", data["access_token"]) return accessToken, nil }
The above code sends an HTTP GET request and specifies grant_type
, client_id
and client_secret
, etc. Parameters to obtain the access token. We can call the above function in the main function and use the returned access token to perform face search:
func main() { // 设置API Key和Secret Key apiKey := "yourApiKey" secretKey := "yourSecretKey" // 获取访问令牌 accessToken, err := getAccessToken(apiKey, secretKey) if err != nil { fmt.Println("Failed to get access token:", err) return } // 设置全局访问令牌 accessToken = accessToken // 执行人脸搜索 imageURL := "http://example.com/photo.jpg" result, err := searchFace(imageURL) if err != nil { fmt.Println("Failed to search face:", err) return } // 输出搜索结果 fmt.Println("Search result:", result) }
In the above code, we obtain the access token by calling the getAccessToken
function, Then call the searchFace
function to search for faces and print out the results.
Through the above code examples, we can use Golang to call Baidu AI interface to build an efficient face search system. This will greatly improve the efficiency and accuracy of face search and provide better support for practical applications. I hope this article can help you understand the combination of Baidu AI interface and Golang.
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