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, easy to get started

Abstract:
This article will introduce how to use Golang to connect to Baidu AI interface to implement image analysis function. We will use the image recognition interface provided by Baidu AI open platform to implement label recognition and text recognition functions for images by writing code in Golang language.

1. Preparation
   Before we start, we need to prepare the following tools and materials:
2. A Baidu developer account to obtain the API Key and Secret for accessing Baidu AI interface Key.
3. Install Golang and configure the corresponding development environment.
4. An image file used to test the image analysis function.
5. Get the API Key and Secret Key of Baidu AI interface
   First, we need to register a developer account on the Baidu AI open platform and create an application. After creating the application, we can obtain the corresponding API Key and Secret Key. These keys will serve as our identity when accessing Baidu AI interface.

6. Install related dependencies
   Before starting to write code, we need to download and install the following Golang third-party libraries:

   go get -u github.com/ocrclub/baidu-ai-go-sdk
   go get -u github.com/imroc/req

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7. Writing code
   First, we need to introduce the corresponding library:

   import (
    "fmt"
    "github.com/ocrclub/baidu-ai-go-sdk/aip"
   )

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Then, we create a function to handle image tag recognition:

func GetImageLabels(imagePath string, apiKey string, secretKey string) {
    // 创建一个AipImageClassify实例
    client := aip.NewImageClassify(apiKey, secretKey)
    
    // 读取图像文件
    image, err := ioutil.ReadFile(imagePath)
    if err != nil {
        fmt.Println("读取图像文件失败:", err)
        return
    }
    
    // 调用图像标签识别接口
    result, err := client.AdvancedGeneral(image, nil)
    if err != nil {
        fmt.Println("图像标签识别失败:", err)
        return
    }
    
    // 解析返回结果
    for _, item := range result.Results {
        fmt.Printf("标签：%s，置信度：%f
", item.Keyword, item.Score)
    }
}

Next, we create a function to Processing image text recognition:

func GetImageText(imagePath string, apiKey string, secretKey string) {
    // 创建一个AipOcr实例
    client := aip.NewOcr(apiKey, secretKey)
    
    // 读取图像文件
    image, err := ioutil.ReadFile(imagePath)
    if err != nil {
        fmt.Println("读取图像文件失败:", err)
        return
    }
    
    // 调用通用文字识别接口
    result, err := client.GeneralBasic(image, nil)
    if err != nil {
        fmt.Println("图像文字识别失败:", err)
        return
    }
    
    // 解析返回结果
    for _, text := range result.WordsResult {
        fmt.Println(text.Words)
    }
}

Finally, we call the above function in the main function and pass in the corresponding parameters:

func main() {
    // 图像文件路径
    imagePath := "path/to/image.jpg"
    
    // 百度AI接口的API Key和Secret Key
    apiKey := "your_api_key"
    secretKey := "your_secret_key"
    
    // 调用图像标签识别函数
    GetImageLabels(imagePath, apiKey, secretKey)
    
    // 调用图像文字识别函数
    GetImageText(imagePath, apiKey, secretKey)
}

5. Test results
   After completing the code writing, we run the program and pass in the corresponding parameters to test image label recognition and image text recognition. The program will print out the image label and the recognized text.

Conclusion:
Through the introduction of this article, we have learned how to use Golang to connect to Baidu AI interface to implement image analysis functions. We completed the coding of image label recognition and image text recognition and conducted testing. I hope this article will help you understand the connection between Golang and Baidu AI interface.

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