How to use uniapp to develop image recognition functions

How to use uniapp to develop image recognition function

With the development of artificial intelligence, image recognition technology has been widely used in various fields. In mobile application development, implementing image recognition functions can bring better experience and services to users. As a cross-platform development tool, uniapp can help developers quickly integrate image recognition functions into mobile applications. This article will introduce how to use uniapp to develop image recognition functions and provide corresponding code examples.

uniapp is a cross-platform framework developed based on Vue.js. You can write code once and then compile and package it to generate applications that can run on multiple platforms. The advantage is that it does not require independent development for different platforms, reducing development costs and time. The following will introduce how uniapp implements the image recognition function.

First, we need to reference the relevant image recognition library. There are many excellent image recognition libraries on the market to choose from, such as the image recognition API of Baidu AI open platform, Microsoft's Azure computer vision API, etc. Let’s take the image recognition API of Baidu AI open platform as an example to explain.

1. Register a Baidu AI open platform account and create an application
   First, we need to register an account on the Baidu AI open platform and create an application. Registration address: https://ai.baidu.com/
2. Get the AppID, API Key and Secret Key of the API interface
   In the created application, you can get the AppID, API Key and Secret Key of the API interface Secret Key. This information will be used in subsequent code.
3. Introduce relevant plug-ins into the uniapp project
   Next, we need to introduce relevant plug-ins into the uniapp project. You can use existing image recognition plug-ins in the uni-app plug-in market, or you can write your own plug-ins. Taking the uniapp subcontracted plug-in loading as an example, you can configure the path and settings of the relevant plug-ins in manifest.json.
4. Write image recognition code
   In the uniapp project, create a page for displaying the image recognition function. In the Vue file of this page, we can write the code for image recognition. The specific code example is as follows:

<script>
export default {
  data() {
    return {
      imageURL: '',
      result: '',
      showError: false,
      errorMsg: ''
    }
  },
  methods: {
    chooseImage() {
      uni.chooseImage({
        success: (res) => {
          this.imageURL = res.tempFilePaths[0]
        },
        fail: (err) => {
          this.showError = true
          this.errorMsg = err.errMsg
        }
      })
    },
    recognizeImage() {
      uni.showLoading({
        title: '正在识别中...'
      })
      
      uni.uploadFile({
        url: 'https://aip.baidubce.com/rest/2.0/image-classify/v2/advanced_general',
        header: {
          'Content-Type': 'multipart/form-data'
        },
        filePath: this.imageURL,
        name: 'image',
        formData: {
          'access_token': 'YOUR_ACCESS_TOKEN',  // 授权访问令牌
          'appid': 'YOUR_APPID',                // 应用ID
          'secret': 'YOUR_SECRET'               // 应用密钥
        },
        success: (res) => {
          uni.hideLoading()
          this.result = res.data
        },
        fail: (err) => {
          uni.hideLoading()
          this.showError = true
          this.errorMsg = err.errMsg
        }
      })
    }
  }
}
</script>

<template>
  <view>
    <image :src="imageURL"></image>
    <button @tap="chooseImage">选择图片</button>
    <button @tap="recognizeImage">识别图片</button>
    <view v-if="showError">{{errorMsg}}</view>
    <view v-else>{{result}}</view>
  </view>
</template>

In the above code, we use uniapp’s chooseImage method to select an image, and then use the uploadFile method to upload the image Go to the image recognition interface of Baidu AI open platform for processing. The results returned by the interface will be processed in the success callback function.

It should be noted that the AppID, API Key and Secret Key of the application created through the Baidu AI open platform need to be filled in the formData in the code.

5. Build and run the project
   Finally, we need to execute the corresponding commands in the terminal to build and run the project. After executing the command, you can see the image recognition page on the specified running emulator or device, and you can select pictures for recognition.

Through the above steps, we can use uniapp to develop image recognition function. Of course, the above example code is just a simple implementation of the image recognition function, and developers can optimize and expand it according to their own needs.

Summary:
This article details how to use uniapp to develop image recognition functions and provides corresponding code examples. By using the uniapp cross-platform development tool, developers can quickly integrate image recognition functions into mobile applications to provide better user experience and services. I hope this article will be helpful to readers when developing image recognition functions.

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