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UniApp implements the integration and usage guide of image recognition and face recognition
Abstract: This article introduces how to use UniApp to integrate image recognition and face recognition functions, and provides relevant code examples to help developers Implement these functions quickly.
1. Foreword
With the continuous development of artificial intelligence, image recognition and face recognition have become important functions in modern applications. In order to meet user needs, we need to integrate these functions in UniApp. This article will lead readers step by step through the integration and use of image recognition and face recognition.
2. Image recognition
To implement the image recognition function in UniApp, we can use the image recognition API provided by Baidu AI open platform. First, we need to apply for an API key on the Baidu AI open platform to call related interfaces.
Sample code:
e03b848252eb9375d56be284e690e873import BaiduSDK from './path/to/baidu-ai-sdk'
export default {
SDK: BaiduSDK,
APP_ID: 'your_app_id',
API_KEY: 'your_api_key',
SECRET_KEY: 'your_secret_key'
}bc5574f69a0cba105bc93bd3dc13c4ec
Sample code:
e03b848252eb9375d56be284e690e873uni.getImageInfo({<br> success: res => {
uni.request({ url: 'https://aip.baidubce.com/rest/2.0/image-classify/v2/advanced_general', method: 'POST', header: { 'Content-Type': 'application/x-www-form-urlencoded' }, data: { access_token: 'your_access_token', image: res.path }, success: res => { console.log(res.data) // 解析接口返回的数据 }, fail: err => { console.error(err) } })
}
}) bc5574f69a0cba105bc93bd3dc13c4ec
3. Face recognition
Similarly, we can use the face recognition function of Baidu AI open platform to implement face recognition in UniApp. The following are the specific implementation steps.
Sample code:
e03b848252eb9375d56be284e690e873import BaiduSDK from './path/to/baidu-ai-sdk'
export default {
SDK: BaiduSDK,
APP_ID: 'your_app_id',
API_KEY: 'your_api_key',
SECRET_KEY: 'your_secret_key'
}bc5574f69a0cba105bc93bd3dc13c4ec
Sample code:
e03b848252eb9375d56be284e690e873uni.chooseImage({<br> success: res => {
uni.uploadFile({ url: 'https://aip.baidubce.com/rest/2.0/face/v3/detect', filePath: res.tempFilePaths[0], name: 'image_file', formData: { access_token: 'your_access_token', image_type: 'BASE64' }, success: res => { console.log(res.data) // 解析接口返回的数据 }, fail: err => { console.error(err) } })
}
})bc5574f69a0cba105bc93bd3dc13c4ec
Through the above code examples, we can integrate image recognition and face recognition functions in UniApp. Developers can call different API interfaces according to specific needs to achieve richer functions. I hope this article can help you implement image recognition and face recognition functions in the UniApp project.
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