Building intelligent applications: Revealing the secrets of Golang’s skills in connecting Baidu AI interface
Introduction:
With the rapid development of artificial intelligence technology, more and more More and more enterprises and developers are beginning to pay attention to and apply it to the development of intelligent applications. As one of the leading artificial intelligence companies in China, Baidu provides a wealth of AI interfaces for developers to use. This article will introduce how to use the Golang programming language to connect to Baidu AI interface, and share some tips and examples for your reference.
1. Preparation
Before you start, you need to do some preparations.
First of all, you need to have a Baidu AI account and apply for the corresponding API access key. You can register and apply on the Baidu AI open platform.
Secondly, you need to install the Golang programming language. You can download and install the latest version of Golang from the Golang official website.
Finally, you need to import the relevant Golang libraries. Baidu AI officially provides Go SDK, which can be installed through the go get command.
2. Baidu AI interface usage example: text recognition
Text recognition is a very important and commonly used function in Baidu AI interface. Next, we will show how to use Golang for docking with the text recognition interface.
First, import the necessary libraries in your code.
import ( "fmt" "io/ioutil" "net/http" "net/url" )
Next, create an HTTP client for sending requests and receiving responses.
client := &http.Client{}
Using your API access key and request parameters, build a complete request URL.
url := "https://aip.baidubce.com/rest/2.0/ocr/v1/general_basic" values := url.Values{} values.Set("access_token", "your-access-token") values.Set("image", "your-image-url")
By sending an HTTP POST request and parsing the response, you can obtain the results of text recognition.
resp, err := client.PostForm(url, values) if err != nil { panic(err) } defer resp.Body.Close() body, err := ioutil.ReadAll(resp.Body) if err != nil { panic(err) } fmt.Println(string(body))
In the above code, you need to replace "your-access-token" with your API access key, and "your-image-url" with the URL of the image you need to perform text recognition.
3. Baidu AI interface usage example: face recognition
Next, we will take the face recognition interface as an example to demonstrate how to use Golang to connect to Baidu AI interface.
Same as the previous example, import the necessary libraries first.
import ( "fmt" "io/ioutil" "net/http" "net/url" )
client := &http.Client{}
url := "https://aip.baidubce.com/rest/2.0/face/v3/detect" values := url.Values{} values.Set("access_token", "your-access-token") values.Set("image", "your-image-url") values.Set("image_type", "URL")
resp, err := client.PostForm(url, values) if err != nil { panic(err) } defer resp.Body.Close() body, err := ioutil.ReadAll(resp.Body) if err != nil { panic(err) } fmt.Println(string(body))
In the above code, you also need to replace "your-access-token" with your API access key, and "your-image-url" with the URL of the image you need to perform face recognition. .
Conclusion:
This article introduces how to use the Golang programming language to connect to Baidu AI interface, and shows specific code examples using text recognition and face recognition as examples.
By learning and mastering these skills, you can use Golang more conveniently to build intelligent applications, give full play to the power of Baidu's AI interface, and provide users with a better experience.
I hope this article can be helpful to you. For more information on Baidu AI interface and Golang programming, you can refer to the official documentation of Baidu AI open platform and the official documentation of Golang. Happy programming!
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